Building sustainable capacity to adopt, adapt or develop child health guidelines, Malawi, Nigeria and South Africa.

Problem: Many national child health guidelines in Malawi, Nigeria and South Africa are outdated and score poorly on rigorous methods and stakeholder participation. Approach: In line with the World Health Organization's (WHO) emphasis on local guideline contextualization, the Global Evidence-Local Adaptation (GELA) project supported multistakeholder processes to adapt evidence-informed recommendations for child health in Malawi, Nigeria and South Africa. The GELA project team convened national steering groups, which conducted structured, iterative priority-setting exercises to identify priority topics. We identified appropriate source guidelines by systematically searching and screening available guidelines. We then matched recommendations in potential source guidelines to the relevant questions, and assessed the guidelines for timeliness and quality. Drawing on WHO's guideline process, we applied the GRADE-ADOLOPMENT process to develop contextualized recommendations from existing guidelines. If no source guideline or reviews were identified, we conducted new evidence syntheses. Local setting: Malawi, Nigeria and South Africa are countries with varying health priorities and systems, all transitioning to universal health coverage. Guideline structures differ between countries, with processes largely led from national health ministries. Relevant changes: National guideline groups, supported by GELA researchers and government-academic partners, developed five contextually-tailored child health recommendations. For most of these recommendations, additional evidence was required to inform contextually appropriate national decision-making. Formal capacity-building and on-the-job learning enhanced the competencies of national contributors and researchers in evidence-informed decision-making. Lessons learnt: Developing context-relevant recommendations requires considerable resources and time. Further investment in strengthening local capacity is needed for sustainable national guideline development.

Healthcare workers' informal uses of mobile phones and other mobile devices to support their work: a qualitative evidence synthesis.

BACKGROUND: Healthcare workers sometimes develop their own informal solutions to deliver services. One such solution is to use their personal mobile phones or other mobile devices in ways that are unregulated by their workplace. This can help them carry out their work when their workplace lacks functional formal communication and information systems, but it can also lead to new challenges. OBJECTIVES: To explore the views, experiences, and practices of healthcare workers, managers and other professionals working in healthcare services regarding their informal, innovative uses of mobile devices to support their work. SEARCH METHODS: We searched MEDLINE, Embase, CINAHL and Scopus on 11 August 2022 for studies published since 2008 in any language. We carried out citation searches and contacted study authors to clarify published information and seek unpublished data. SELECTION CRITERIA: We included qualitative studies and mixed-methods studies with a qualitative component. We included studies that explored healthcare workers' views, experiences, and practices regarding mobile phones and other mobile devices, and that included data about healthcare workers' informal use of these devices for work purposes. DATA COLLECTION AND ANALYSIS: We extracted data using an extraction form designed for this synthesis, assessed methodological limitations using predefined criteria, and used a thematic synthesis approach to synthesise the data. We used the 'street-level bureaucrat' concept to apply a conceptual lens to our findings and prepare a line of argument that links these findings. We used the GRADE-CERQual approach to assess our confidence in the review findings and the line-of-argument statements. We collaborated with relevant stakeholders when defining the review scope, interpreting the findings, and developing implications for practice. MAIN RESULTS: We included 30 studies in the review, published between 2013 and 2022. The studies were from high-, middle- and low-income countries and covered a range of healthcare settings and healthcare worker cadres. Most described mobile phone use as opposed to other mobile devices, such as tablets. We have moderate to high confidence in the statements in the following line of argument. The healthcare workers in this review, like other 'street-level bureaucrats', face a gap between what is expected of them and the resources available to them. To plug this gap, healthcare workers develop their own strategies, including using their own mobile phones, data and airtime. They also use other personal resources, including their personal time when taking and making calls outside working hours, and their personal networks when contacting others for help and advice. In some settings, healthcare workers' personal phone use, although unregulated, has become a normal part of many work processes. Some healthcare workers therefore experience pressure or expectations from colleagues and managers to use their personal phones. Some also feel driven to use their phones at work and at home because of feelings of obligation towards their patients and colleagues. At best, healthcare workers' use of their personal phones, time and networks helps humanise healthcare. It allows healthcare workers to be more flexible, efficient and responsive to the needs of the patient. It can give patients access to individual healthcare workers rather than generic systems and can help patients keep their sensitive information out of the formal system. It also allows healthcare workers to communicate with each other in more personalised, socially appropriate ways than formal systems allow. All of this can strengthen healthcare workers' relationships with community members and colleagues. However, these informal approaches can also replicate existing social hierarchies and deepen existing inequities among healthcare workers. Personal phone use costs healthcare workers money. This is a particular problem for lower-level healthcare workers and healthcare workers in low-income settings as they are likely to be paid less and may have less access to work phones or compensation. Out-of-hours use may also be more of a burden for lower-level healthcare workers, as they may find it harder to ignore calls when they are at home. Healthcare workers with poor access to electricity and the internet are less able to use informal mobile phone solutions, while healthcare workers who lack skills and training in how to appraise unendorsed online information are likely to struggle to identify trustworthy information. Informal digital channels can help healthcare workers expand their networks. But healthcare workers who rely on personal networks to seek help and advice are at a disadvantage if these networks are weak. Healthcare workers' use of their personal resources can also lead to problems for patients and can benefit some patients more than others. For instance, when healthcare workers store and share patient information on their personal phones, the confidentiality of this information may be broken. In addition, healthcare workers may decide to use their personal resources on some types of patients, but not others. Healthcare workers sometimes describe using their personal phones and their personal time and networks to help patients and clients whom they assess as being particularly in need. These decisions are likely to reflect their own values and ideas, for instance about social equity and patient 'worthiness'. But these may not necessarily reflect the goals, ideals and regulations of the formal healthcare system. Finally, informal mobile phone use plugs gaps in the system but can also weaken the system. The storing and sharing of information on personal phones and through informal channels can represent a 'shadow IT' (information technology) system where information about patient flow, logistics, etc., is not recorded in the formal system. Healthcare workers may also be more distracted at work, for instance, by calls from colleagues and family members or by social media use. Such challenges may be particularly difficult for weak healthcare systems. AUTHORS' CONCLUSIONS: By finding their own informal solutions to workplace challenges, healthcare workers can be more efficient and more responsive to the needs of patients, colleagues and themselves. But these solutions also have several drawbacks. Efforts to strengthen formal health systems should consider how to retain the benefits of informal solutions and reduce their negative effects.

Newborn and child health national and provincial clinical practice guidelines in South Africa, Nigeria and Malawi: a scoping review.

BACKGROUND: Low and middle-income countries remain disproportionately affected by high rates of child mortality. Clinical practice guidelines are essential clinical tools supporting implementation of effective, safe, and cost-effective healthcare. High-quality evidence-based guidelines play a key role in improving clinical management to impact child mortality. We aimed to identify and assess the quality of guidelines for newborn and child health published in South Africa, Nigeria and Malawi in the last 5 years (2017-2022). METHODS: We searched relevant websites (June-July 2022), for publicly available national and subnational de novo or adapted guidelines, addressing newborn and child health in the three countries. Pairs of reviewers independently extracted information from eligible guidelines (scope, topic, target population and users, responsible developers, stakeholder consultation process, adaptation description, assessment of evidence certainty). We appraised guideline quality using the Appraisal of Guidelines for Research & Evaluation (AGREE II) instrument. RESULTS: We identified 40-guidelines from the three countries. Of these, 8/40 reported being adopted from a parent guideline. More guidelines (n = 19) provided guidance on communicable diseases than on non-communicable diseases (n = 8). Guidelines were most often developed by national health ministries (n = 30) and professional societies (n = 14). Eighteen guidelines reported on stakeholder consultation; with Nigeria (10/11) and Malawi (3/6) faring better than South Africa (5/23) in reporting this activity. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach was used in 1/7 guidelines that reported assessing certainty of evidence. Overall guidelines scored well on two AGREE II domains: scope and purpose median (IQR) score 68% (IQR 47-83), and clarity of presentation 81% (67-94). Domains critical for ensuring credible guidance scored below 20%: rigour of development 11% (4-32) and editorial independence 6% (0-27). CONCLUSION: National ministries and professional societies drive guideline activities in Malawi, Nigeria and South Arica. However, the methods and reporting do not adhere to global standards. We found low AGREE II scores for rigour of guideline development and editorial independence and limited use of GRADE or adaptation methods. This undermines the credibility of available guidelines to support evidence-informed care. Our findings highlight the importance of ongoing efforts to strengthen partnerships, capacity, and support for guideline development.

Assessing unConventional Evidence (ACE) tool: development and content of a tool to assess the strengths and limitations of 'unconventional' source materials.

BACKGROUND: When deciding whether to implement an intervention, decision-makers typically have questions on feasibility and acceptability and on factors affecting implementation. Descriptions of programme implementation and of policies and systems are rich sources of information for these questions. However, this information is often not based on empirical data collected using explicit methods. To use the information in unconventional source materials in syntheses or other decision support products, we need methods of assessing their strengths and limitations. This paper describes the development and content of the Assessing unConventional Evidence (ACE) tool, a new tool to assess the strengths and limitations of these sources. METHODS: We developed the ACE tool in four stages: first, we examined existing tools to identify potentially relevant assessment criteria. Second, we drew on these criteria and team discussions to create a first draft of the tool. Third, we obtained feedback on the draft from potential users and methodologists, and through piloting the tool in evidence syntheses. Finally, we used this feedback to iteratively refine the assessment criteria and to improve our guidance for undertaking the assessment. RESULTS: The tool is made up of 11 criteria including the purpose and context of the source; the completeness of the information presented; and the extent to which evidence is provided to support the findings made. Users are asked to indicate whether each of the criteria have been addressed. On the basis of their judgements for each criterion, users then make an overall assessment of the limitations of the source, ranging from no or very minor concerns to serious concerns. These assessments can then facilitate appropriate use of the evidence in decision support products. CONCLUSIONS: Through focussing on unconventional source materials, the ACE tool fills an important gap in the range of tools for assessing the strengths and limitations of policy-relevant evidence and supporting evidence-informed decision-making.

Evaluating the impact of the global evidence, local adaptation (GELA) project for enhancing evidence-informed guideline recommendations for newborn and young child health in three African countries: a mixed-methods protocol.

BACKGROUND: Poverty-related diseases (PRD) remain amongst the leading causes of death in children under-5 years in sub-Saharan Africa (SSA). Clinical practice guidelines (CPGs) based on the best available evidence are key to strengthening health systems and helping to enhance equitable health access for children under five. However, the CPG development process is complex and resource-intensive, with substantial scope for improving the process in SSA, which is the goal of the Global Evidence, Local Adaptation (GELA) project. The impact of research on PRD will be maximized through enhancing researchers and decision makers' capacity to use global research to develop locally relevant CPGs in the field of newborn and child health. The project will be implemented in three SSA countries, Malawi, South Africa and Nigeria, over a 3-year period. This research protocol is for the monitoring and evaluation work package of the project. The aim of this work package is to monitor the various GELA project activities and evaluate the influence these may have on evidence-informed decision-making and guideline adaptation capacities and processes. The specific project activities we will monitor include (1) our ongoing engagement with local stakeholders, (2) their capacity needs and development, (3) their understanding and use of evidence from reviews of qualitative research and, (4) their overall views and experiences of the project. METHODS: We will use a longitudinal, mixed-methods study design, informed by an overarching project Theory of Change. A series of interconnected qualitative and quantitative data collections methods will be used, including knowledge translation tracking sheets and case studies, capacity assessment online surveys, user testing and in-depth interviews, and non-participant observations of project activities. Participants will comprise of project staff, members of the CPG panels and steering committees in Malawi, South Africa and Nigeria, as well as other local stakeholders in these three African countries. DISCUSSION: Ongoing monitoring and evaluation will help ensure the relationship between researchers and stakeholders is supported from the project start. This can facilitate achievement of common goals and enable researchers in South Africa, Malawi and Nigeria to make adjustments to project activities to maximize stakeholder engagement and research utilization. Ethical approval has been provided by South African Medical Research Council Human Research Ethics Committee (EC015-7/2022); The College of Medicine Research and Ethics Committee, Malawi (P.07/22/3687); National Health Research Ethics Committee of Nigeria (01/01/2007).

Using a priority setting exercise to identify priorities for guidelines on newborn and child health in South Africa, Malawi, and Nigeria.

BACKGROUND: Sub-Saharan Africa is the region with the highest under-five mortality rate globally. Child healthcare decisions should be based on rigorously developed evidence-informed guidelines. The Global Evidence, Local Adaptation (GELA) project is enhancing capacity to use global research to develop locally relevant guidelines for newborn and child health in South Africa (SA), Malawi, and Nigeria. The first step in this process was to identify national priorities for newborn and child health guideline development, and this paper describes our approach. METHODS: We followed a good practice method for priority setting, including stakeholder engagement, online priority setting surveys and consensus meetings, conducted separately in South Africa, Malawi and Nigeria. We established national Steering Groups (SG), comprising 10-13 members representing government, academia, and other stakeholders, identified through existing contacts and references, who helped prioritise initial topics identified by research teams and oversaw the process. Various stakeholders were consulted via online surveys to rate the importance of topics, with results informing consensus meetings with SGs where final priority topics were agreed. RESULTS: Based on survey results, nine, 10 and 11 topics were identified in SA, Malawi, and Nigeria respectively, which informed consensus meetings. Through voting and discussion within meetings, and further engagement after the meetings, the top three priority topics were identified in each country. In SA, the topics concerned anemia prevention in infants and young children and post-discharge support for caregivers of preterm and LBW babies. In Malawi, they focused on enteral nutrition in critically ill children, diagnosis of childhood cancers in the community, and caring for neonates. In Nigeria, the topics focused on identifying pre-eclampsia in the community, hand hygiene compliance to prevent infections, and enteral nutrition for LBW and preterm infants. CONCLUSIONS: Through dynamic and iterative stakeholder engagement, we identified three priority topics for guideline development on newborn and child health in SA, Malawi and Nigeria. Topics were specific to contexts, with no overlap, which highlights the importance of contextualised priority setting as well as of the relationships with key decisionmakers who help define the priorities.

Lay health workers in primary and community health care for maternal and child health: identification and treatment of wasting in children.

BACKGROUND: Since the early 2010s, there has been a push to enhance the capacity to effectively treat wasting in children through community-based service delivery models and thus reduce morbidity and mortality. OBJECTIVES: To assess the effectiveness of identification and treatment of moderate and severe wasting in children aged five years or under by lay health workers working in the community compared with health providers working in health facilities. SEARCH METHODS: We searched MEDLINE, CENTRAL, two other databases, and two ongoing trials registers to 24 September 2021. We also screened the reference lists of related systematic reviews and all included studies. SELECTION CRITERIA: We included randomised controlled trials (RCTs) and non-randomised studies in children aged five years or under with moderate wasting (defined as weight-for-height Z-score (WHZ) below -2 but no lower than ≥ -3, or mid-upper-arm circumference (MUAC) below 125 mm but no lower than 115 mm, and no nutritional oedema) or severe wasting (WHZ below -3 or MUAC below 115 mm or nutritional oedema). Eligible interventions were: • identification by lay health workers (LHWs) of children with wasting (intervention 1); • identification by LHWs of children with wasting and medical complications needing referral (intervention 2); and • identification by LHWs of children with wasting without medical complications needing referral (intervention 3). Eligible comparators were: • identification and treatment of wasting by health professionals such as nurses or doctors (at health facilities); and • identification and treatment of wasting by health facility-based teams, including health professionals and LHWs. DATA COLLECTION AND ANALYSIS: Two review authors independently screened trials, extracted data and assessed risk of bias using the Cochrane risk of bias tool (RoB 2) and Cochrane Effective Practice and Organisation of Care (EPOC) guidelines. We used a random-effects model to meta-analyse data, producing risk ratios (RRs) for dichotomous outcomes in trials with individual allocation, adjusted RRs for dichotomous outcomes in trials with cluster allocation (using the generic inverse variance method in Review Manager 5), and mean differences (MDs) for continuous outcomes. We used the GRADE approach to assess the certainty of the evidence. MAIN RESULTS: We included two RCTs and five non-RCTs. Six studies were from African countries, and one was from Pakistan. Six studies included children with severe wasting, and one included children with moderate wasting. All studies offered home-based ready-to-use therapeutic food treatment and monitoring. Children received antibiotics in three studies, vitamins or micronutrients in three studies, and deworming treatment in two studies. In three studies, the comparison arm involved LHWs screening children for malnutrition and referring them to health facilities for diagnosis and treatment. All the non-randomised studies had a high overall risk of bias. Interventions 1 and 2 Identification and referral for treatment by LHWs, compared with treatment by health professionals following self-referral, may result in little or no difference in the percentage of children who recover from moderate or severe wasting (MD 1.00%, 95% confidence interval (CI) -2.53 to 4.53; 1 RCT, 29,475 households; low certainty). Intervention 3 Compared with treatment by health professionals following identification by LHWs, identification and treatment of severe wasting in children by LHWs: • may slightly reduce improvement from severe wasting (RR 0.93, 95% CI 0.86 to 0.99; 1 RCT, 789 participants; low certainty); • may slightly increase non-response to treatment (RR 1.44, 95% CI 1.04 to 2.01; 1 RCT, 789 participants; low certainty); • may result in little or no difference in the number of children with WHZ above -2 on discharge (RR 0.94, 95% CI 0.28 to 3.18; 1 RCT, 789 participants; low certainty); • probably results in little or no difference in the number of children with WHZ between -3 and -2 on discharge (RR 1.09, 95% CI 0.87 to 1.36; 1 RCT, 789 participants; moderate certainty); • probably results in little or no difference in the number of children with WHZ below -3 (severe wasting) on discharge (RR 1.23, 95% CI 0.75 to 2.04; 1 RCT, 789 participants; moderate certainty); • probably results in little or no difference in the number of children with MUAC equal to or greater than 115 mm on discharge (RR 0.99, 95% CI 0.93 to 1.06; 1 RCT, 789 participants; moderate certainty); • results in little or no difference in weight gain per day (mean weight gain 0.50 g/kg/day higher, 95% CI 1.74 lower to 2.74 higher; 1 RCT, 571 participants; high certainty); • probably has little or no effect on relapse of severe wasting (RR 1.03, 95% CI 0.69 to 1.54; 1 RCT, 649 participants; moderate certainty); • may have little or no effect on mortality among children with severe wasting (RR 0.46, 95% CI 0.04 to 5.98; 1 RCT, 829 participants; low certainty); • probably has little or no effect on the transfer of children with severe wasting to inpatient care (RR 3.71, 95% CI 0.36 to 38.23; 1 RCT, 829 participants; moderate certainty); and • probably has little or no effect on the default of children with severe wasting (RR 1.48, 95% CI 0.65 to 3.40; 1 RCT, 829 participants; moderate certainty). The evidence was very uncertain for total MUAC gain, MUAC gain per day, total weight gain, treatment coverage, and transfer to another LHW site or health facility. No studies examined sustained recovery, deterioration to severe wasting, appropriate identification of children with wasting or oedema, appropriate referral of children with moderate or severe wasting, adherence, or adverse effects and other harms. AUTHORS' CONCLUSIONS: Identification and treatment of severe wasting in children who do not require inpatient care by LHWs, compared with treatment by health professionals, may lead to similar or slightly poorer outcomes. We found only two RCTs, and the evidence from non-randomised studies was of very low certainty for all outcomes due to serious risks of bias and imprecision. No studies included children aged under 6 months. Future studies must address these methodological issues.

A Framework for the Development of Living Practice Guidelines in Health Care.

BACKGROUND: Living practice guidelines are increasingly being used to ensure that recommendations are responsive to rapidly emerging evidence. OBJECTIVE: To develop a framework that characterizes the processes of development of living practice guidelines in health care. DESIGN: First, 3 background reviews were conducted: a scoping review of methods papers, a review of handbooks of guideline-producing organizations, and an analytic review of selected living practice guidelines. Second, the core team drafted the first version of the framework. Finally, the core team refined the framework through an online survey and online discussions with a multidisciplinary international group of stakeholders. SETTING: International. PARTICIPANTS: Multidisciplinary group of 51 persons who have experience with guidelines. MEASUREMENTS: Not applicable. RESULTS: A major principle of the framework is that the unit of update in a living guideline is the individual recommendation. In addition to providing definitions, the framework addresses several processes. The planning process should address the organization's adoption of the living methodology as well as each specific guideline project. The production process consists of initiation, maintenance, and retirement phases. The reporting should cover the evidence surveillance time stamp, the outcome of reassessment of the body of evidence (when applicable), and the outcome of revisiting a recommendation (when applicable). The dissemination process may necessitate the use of different venues, including one for formal publication. LIMITATION: This study does not provide detailed or practical guidance for how the described concepts would be best implemented. CONCLUSION: The framework will help guideline developers in planning, producing, reporting, and disseminating living guideline projects. It will also help research methodologists study the processes of living guidelines. PRIMARY FUNDING SOURCE: None.

The use of GRADE-CERQual in qualitative evidence synthesis: an evaluation of fidelity and reporting.

BACKGROUND: GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative Research) is a methodological approach to systematically and transparently assess how much confidence decision makers can place in individual review findings from qualitative evidence syntheses. The number of reviews applying GRADE-CERQual is rapidly expanding in guideline and other decision-making contexts. The objectives of this evaluation were, firstly, to describe the uptake of GRADE-CERQual in qualitative evidence synthesis by review authors and, secondly, to assess both reporting of and fidelity to the approach. METHODS: The evaluation had two parts. Part 1 was a citation analysis and descriptive overview of the literature citing GRADE-CERQual. Authors worked together to code and chart the citations, first by title and abstract and second by full text. Part 2 was an assessment and analysis of fidelity to, and reporting of, the GRADE-CERQual approach in included reviews. We developed fidelity and reporting questions and answers based on the most recent guidance for GRADE-CERQual and then used NVivo12 to document assessments in a spreadsheet and code full-text PDF articles for any concerns that had been identified. Our assessments were exported to Excel and we applied count formulae to explore patterns in the data. We employed a qualitative content analysis approach in NVivo12 to sub-coding all the data illustrating concerns for each reporting and fidelity criteria. RESULTS: 233 studies have applied the GRADE-CERQual approach, with most (n = 225, 96.5%) in the field of health research. Many studies (n = 97/233, 41.6%) were excluded from full fidelity and reporting assessment because they demonstrated a serious misapplication of GRADE-CERQual, for example interpreting it as a quality appraisal tool for primary studies or reviews. For the remaining studies that applied GRADE-CERQual to assess confidence in review findings, the main areas of reporting concern involved terminology, labelling and completeness. Fidelity concerns were identified in more than half of all studies assessed. CONCLUSIONS: GRADE-CERQual is being used widely within qualitative evidence syntheses and there are common reporting and fidelity issues. Most of these are avoidable and we highlight these as gaps in knowledge and guidance for applying the GRADE-CERQual approach.

Using qualitative research to develop an elaboration of the TIDieR checklist for interventions to enhance vaccination communication: short report.

BACKGROUND: The COVID-19 pandemic has led to an increased interest in communication with the public regarding vaccination. Our recent Cochrane qualitative evidence synthesis points to several factors that could influence the implementation and success of healthcare worker communication with older adults about vaccination. However, it is often difficult to assess whether factors identified as potentially important in qualitative studies have been considered in randomized trials because of poor trial reporting. We therefore decided to use our qualitative evidence synthesis findings to encourage better reporting of vaccination communication interventions in trials by developing an elaboration of the TIDieR (Template for Intervention Description and Replication) checklist for intervention reporting. METHODS: We examined the findings from our Cochrane qualitative evidence synthesis on healthcare workers' perceptions of and experiences with communicating about vaccination with adults over the age of 50 years. We identified factors that could influence the implementation and uptake, and thereby the effectiveness, of vaccination communication interventions. We then drafted a list of the information elements we would need from trial reports to assess whether these factors had been considered in the development of the interventions evaluated in these trials. Finally, we compared our list of information elements to the TIDieR checklist items. We were able to align all of our information elements with the TIDieR items. However, for several of the TIDieR items, we developed a more detailed description to ensure that relevant information would be captured sufficiently in trial reports. RESULTS: We developed elaborations for the following TIDieR items: "Why" (item 2), "What-materials" (item 3), "Who provided" (item 5), "How" (item 6), "Where" (item 7) and "Tailoring" (item 9). CONCLUSIONS: Both qualitative research and trials of intervention effectiveness are critical to furthering our understanding of what works, where, for whom and through which mechanisms. However, a key ingredient for developing this understanding is adequate reporting of intervention design, content and implementation in randomized trials. We hope that this elaboration of the TIDier checklist will improve reporting of interventions in trials focused on vaccine communication with older adults, and thereby enhance the usability of this research for developing future communication strategies.

Health communication in and out of public health emergencies: to persuade or to inform?

Much health communication during the COVID-19 pandemic has been designed to persuade people more than to inform them. For example, messages like "masks save lives" are intended to compel people to wear face masks, not to enable them to make an informed decision about whether to wear a face mask or to understand the justification for a mask mandate. Both persuading people and informing them are reasonable goals for health communication. However, those goals can sometimes be in conflict. In this article, we discuss potential conflicts between seeking to persuade or to inform people, the use of spin to persuade people, the ethics of persuasion, and implications for health communication in the context of the pandemic and generally. Decisions to persuade people rather than enable them to make an informed choice may be justified, but the basis for those decisions should be transparent and the evidence should not be distorted. We suggest nine principles to guide decisions by health authorities about whether to try to persuade people.

Healthcare workers' perceptions and experiences of communicating with people over 50 years of age about vaccination: a qualitative evidence synthesis.

BACKGROUND: Infectious diseases are a major cause of illness and death among older adults. Vaccines can prevent infectious diseases, including against seasonal influenza, pneumococcal diseases, herpes zoster and COVID-19. However, the uptake of vaccination among older adults varies across settings and groups. Communication with healthcare workers can play an important role in older people's decisions to vaccinate. To support an informed decision about vaccination, healthcare workers should be able to identify the older person's knowledge gaps, needs and concerns. They should also be able to share and discuss information about the person's disease risk and disease severity; the vaccine's effectiveness and safety; and practical information about how the person can access vaccines. Therefore, healthcare workers need good communication skills and to actively keep up-to-date with the latest evidence. An understanding of their perceptions and experiences of this communication can help us train and support healthcare workers and design good communication strategies. OBJECTIVES: To explore healthcare workers' perceptions and experiences of communicating with older adults about vaccination. SEARCH METHODS: We searched MEDLINE, CINAHL and Scopus on 21 March 2020. We also searched Epistemonikos for related reviews, searched grey literature sources, and carried out reference checking and citation searching to identify additional studies. We searched for studies in any language. SELECTION CRITERIA: We included qualitative studies and mixed-methods studies with an identifiable qualitative component. We included studies that explored the perceptions and experiences of healthcare workers and other health system staff towards communication with adults over the age of 50 years or their informal caregivers about vaccination. DATA COLLECTION AND ANALYSIS: We extracted data using a data extraction form designed for this review. We assessed methodological limitations using a list of predefined criteria. We extracted and assessed data regarding study authors' motivations for carrying out their study. We used a thematic synthesis approach to analyse and synthesise the evidence. We used the GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research) approach to assess our confidence in each finding. We examined each review finding to identify factors that may influence intervention implementation and we developed implications for practice. MAIN RESULTS: We included 11 studies in our review. Most studies explored healthcare workers' views and experiences about vaccination of older adults more broadly but also mentioned communication issues specifically. All studies were from high-income countries. The studies focused on doctors, nurses, pharmacists and others working in hospitals, clinics, pharmacies and nursing homes. These healthcare workers discussed different types of vaccines, including influenza, pneumococcal and herpes zoster vaccines. The review was carried out before COVID-19 vaccines were available. We downgraded our confidence in several of the findings from high confidence to moderate, low or very low confidence. One reason for this was that some findings were based on only small amounts of data. Another reason was that the findings were based on studies from only a few countries, making us unsure about the relevance of these findings to other settings. Healthcare workers reported that older adults asked about vaccination to different extents, ranging from not asking about vaccines at all, to great demand for information (high confidence finding). When the topic of vaccination was discussed, healthcare workers described a lack of information, and presence of misinformation, fears and concerns about vaccines among older adults (moderate confidence). The ways in which healthcare workers discussed vaccines with older adults appeared to be linked to what they saw as the aim of vaccination communication. Healthcare workers differed among themselves in their perceptions of this aim and about their own roles and the roles of older adults in vaccine decisions. Some healthcare workers thought it was important to provide information but emphasised the right and responsibility of older adults to decide for themselves. Others used information to persuade and convince older adults to vaccinate in order to increase 'compliance' and 'improve' vaccination rates, and in some cases to gain financial benefits. Other healthcare workers tailored their approach to what they believed the older adult needed or wanted (moderate confidence). Healthcare workers believed that older adults' decisions could be influenced by several factors, including the nature of the healthcare worker-patient relationship, the healthcare worker's status, and the extent to which healthcare workers led by example (low confidence). Our review also identified factors that are likely to influence how communication between healthcare workers and older adults take place. These included issues tied to healthcare workers' views and experiences regarding the diseases in question and the vaccines; as well as their views and experiences of the organisational and practical implementation of vaccine services. AUTHORS' CONCLUSIONS: There is little research focusing specifically on healthcare workers' perceptions and experiences of communication with older adults about vaccination. The studies we identified suggest that healthcare workers differed among themselves in their perceptions about the aim of this communication and about the role of older adults in vaccine decisions. Based on these findings and the other findings in our review, we have developed a set of questions or prompts that may help health system planners or programme managers when planning or implementing strategies for vaccination communication between healthcare workers and older adults.

Decision-support tools via mobile devices to improve quality of care in primary healthcare settings.

BACKGROUND: The ubiquity of mobile devices has made it possible for clinical decision-support systems (CDSS) to become available to healthcare providers on handheld devices at the point-of-care, including in low- and middle-income countries. The use of CDSS by providers can potentially improve adherence to treatment protocols and patient outcomes. However, the evidence on the effect of the use of CDSS on mobile devices needs to be synthesized. This review was carried out to support a World Health Organization (WHO) guideline that aimed to inform investments on the use of decision-support tools on digital devices to strengthen primary healthcare. OBJECTIVES: To assess the effects of digital clinical decision-support systems (CDSS) accessible via mobile devices by primary healthcare providers in the context of primary care settings. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, Global Index Medicus, POPLINE, and two trial registries from 1 January 2000 to 9 October 2020. We conducted a grey literature search using mHealthevidence.org and issued a call for papers through popular digital health communities of practice. Finally, we conducted citation searches of included studies. SELECTION CRITERIA: Study design: we included randomized trials, including full-text studies, conference abstracts, and unpublished data irrespective of publication status or language of publication.  Types of participants: we included studies of all cadres of healthcare providers, including lay health workers and other individuals (administrative, managerial, and supervisory staff) involved in the delivery of primary healthcare services using clinical decision-support tools; and studies of clients or patients receiving care from primary healthcare providers using digital decision-support tools. Types of interventions: we included studies comparing digital CDSS accessible via mobile devices with non-digital CDSS or no intervention, in the context of primary care. CDSS could include clinical protocols, checklists, and other job-aids which supported risk prioritization of patients. Mobile devices included mobile phones of any type (but not analogue landline telephones), as well as tablets, personal digital assistants, and smartphones. We excluded studies where digital CDSS were used on laptops or integrated with electronic medical records or other types of longitudinal tracking of clients. DATA COLLECTION AND ANALYSIS: A machine learning classifier that gave each record a probability score of being a randomized trial screened all search results. Two review authors screened titles and abstracts of studies with more than 10% probability of being a randomized trial, and one review author screened those with less than 10% probability of being a randomized trial. We followed standard methodological procedures expected by Cochrane and the Effective Practice and Organisation of Care group. We used the GRADE approach to assess the certainty of the evidence for the most important outcomes. MAIN RESULTS: Eight randomized trials across varying healthcare contexts in the USA,. India, China, Guatemala, Ghana, and Kenya, met our inclusion criteria. A range of healthcare providers (facility and community-based, formally trained, and lay workers) used digital CDSS. Care was provided for the management of specific conditions such as cardiovascular disease, gastrointestinal risk assessment, and maternal and child health. The certainty of evidence ranged from very low to moderate, and we often downgraded evidence for risk of bias and imprecision. We are uncertain of the effect of this intervention on providers' adherence to recommended practice due to the very low certainty evidence (2 studies, 185 participants). The effect of the intervention on patients' and clients' health behaviours such as smoking and treatment adherence is mixed, with substantial variation across outcomes for similar types of behaviour (2 studies, 2262 participants). The intervention probably makes little or no difference to smoking rates among people at risk of cardiovascular disease but probably increases other types of desired behaviour among patients, such as adherence to treatment. The effect of the intervention on patients'/clients' health status and well-being  is also mixed (5 studies, 69,767 participants). It probably makes little or no difference to some types of health outcomes, but we are uncertain about other health outcomes, including maternal and neonatal deaths, due to very low-certainty evidence. The intervention may slightly improve patient or client acceptability and satisfaction (1 study, 187 participants). We found no studies that reported the time between the presentation of an illness and appropriate management, provider acceptability or satisfaction, resource use, or unintended consequences. AUTHORS' CONCLUSIONS: We are uncertain about the effectiveness of mobile phone-based decision-support tools on several outcomes, including adherence to recommended practice. None of the studies had a quality of care framework and focused only on specific health areas.   We need well-designed research that takes a systems lens to assess these issues.

Birth and death notification via mobile devices: a mixed methods systematic review.

BACKGROUND: Ministries of health, donors, and other decision-makers are exploring how they can use mobile technologies to acquire accurate and timely statistics on births and deaths. These stakeholders have called for evidence-based guidance on this topic. This review was carried out to support World Health Organization (WHO) recommendations on digital interventions for health system strengthening. OBJECTIVES: Primary objective: To assess the effects of birth notification and death notification via a mobile device, compared to standard practice. Secondary objectives: To describe the range of strategies used to implement birth and death notification via mobile devices and identify factors influencing the implementation of birth and death notification via mobile devices. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, the Global Health Library, and POPLINE (August 2, 2019). We searched two trial registries (August 2, 2019). We also searched Epistemonikos for related systematic reviews and potentially eligible primary studies (August 27, 2019). We conducted a grey literature search using mHealthevidence.org (August 15, 2017) and issued a call for papers through popular digital health communities of practice. Finally, we conducted citation searches of included studies in Web of Science and Google Scholar (May 15, 2020). We searched for studies published after 2000 in any language.  SELECTION CRITERIA: For the primary objective, we included individual and cluster-randomised trials; cross-over and stepped-wedge study designs; controlled before-after studies, provided they have at least two intervention sites and two control sites; and interrupted time series studies. For the secondary objectives, we included any study design, either quantitative, qualitative, or descriptive, that aimed to describe current strategies for birth and death notification via mobile devices; or to explore factors that influence the implementation of these strategies, including studies of acceptability or feasibility. For the primary objective, we included studies that compared birth and death notification via mobile devices with standard practice. For the secondary objectives, we included studies of birth and death notification via mobile device as long as we could extract data relevant to our secondary objectives. We included studies of all cadres of healthcare providers, including lay health workers; administrative, managerial, and supervisory staff; focal individuals at the village or community level; children whose births were being notified and their parents/caregivers; and individuals whose deaths were being notified and their relatives/caregivers. DATA COLLECTION AND ANALYSIS: For the primary objective, two authors independently screened all records, extracted data from the included studies and assessed risk of bias. For the analyses of the primary objective, we reported means and proportions, where appropriate. We used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to assess the certainty of the evidence and we prepared a 'Summary of Findings' table. For the secondary objectives, two authors screened all records, one author extracted data from the included studies and assessed methodological limitations using the WEIRD tool and a second author checked the data and assessments. We carried out a framework analysis using the Supporting the Use of Research Evidence (SURE) framework to identify themes in the data. We used the GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research) approach to assess our confidence in the evidence and we prepared a 'Summary of Qualitative Findings' table. MAIN RESULTS: For the primary objective, we included one study, which used a controlled before-after study design. The study was conducted in Lao People's Democratic Republic and assessed the effect of using mobile devices for birth notification on outcomes related to coverage and timeliness of Hepatitis B vaccination. However, we are uncertain of the effect of this approach on these outcomes because the certainty of this evidence was assessed as very low. The included study did not assess resource use or unintended consequences. For the primary objective, we did not identify any studies using mobile devices for death notification. For the secondary objective, we included 21 studies. All studies were conducted in low- or middle-income settings. They focussed on identification of births and deaths in rural, remote, or marginalised populations who are typically under-represented in civil registration processes or traditionally seen as having poor access to health services. The review identified several factors that could influence the implementation of birth-death notification via mobile device. These factors were tied to the health system, the person responsible for notifying, the community and families; and include: - Geographic barriers that could prevent people's access to birth-death notification and post-notification services - Access to health workers and other notifiers with enough training, supervision, support, and incentives - Monitoring systems that ensure the quality and timeliness of the birth and death data - Legal frameworks that allow births and deaths to be notified by mobile device and by different types of notifiers - Community awareness of the need to register births and deaths - Socio-cultural norms around birth and death - Government commitment - Cost to the system, to health workers and to families - Access to electricity and network connectivity, and compatibility with existing systems - Systems that protect data confidentiality We have low to moderate confidence in these findings. This was mainly because of concerns about methodological limitations and data adequacy. AUTHORS' CONCLUSIONS: We need more, well-designed studies of the effect of birth and death notification via mobile devices and on factors that may influence its implementation.

Primary-level worker interventions for the care of people living with mental disorders and distress in low- and middle-income countries.

BACKGROUND: Community-based primary-level workers (PWs) are an important strategy for addressing gaps in mental health service delivery in low- and middle-income countries.  OBJECTIVES: To evaluate the effectiveness of PW-led treatments for persons with mental health symptoms in LMICs, compared to usual care.  SEARCH METHODS: MEDLINE, Embase, CENTRAL, ClinicalTrials.gov, ICTRP, reference lists (to 20 June 2019).   SELECTION CRITERIA: Randomised trials of PW-led or collaborative-care interventions treating people with mental health symptoms or their carers in LMICs.  PWs included: primary health professionals (PHPs), lay health workers (LHWs), community non-health professionals (CPs).  DATA COLLECTION AND ANALYSIS: Seven conditions were identified apriori and analysed by disorder and PW examining recovery, prevalence, symptom change, quality-of-life (QOL), functioning, service use (SU), and adverse events (AEs).  Risk ratios (RRs) were used for dichotomous outcomes; mean difference (MDs), standardised mean differences (SMDs), or mean change differences (MCDs) for continuous outcomes.  For SMDs, 0.20 to 0.49 represented small, 0.50 to 0.79 moderate, and ≥0.80 large clinical effects.  Analysis timepoints: T1 (<1 month), T2 (1-6 months), T3 ( >6 months) post-intervention.  MAIN RESULTS: Description of studies 95 trials (72 new since 2013) from 30 LMICs (25 trials from 13 LICs).  Risk of bias Most common: detection bias, attrition bias (efficacy), insufficient protection against contamination.  Intervention effects *Unless indicated, comparisons were usual care at T2.  "Probably", "may", or "uncertain" indicates "moderate", "low," or "very low" certainty evidence.   Adults with common mental disorders (CMDs) LHW-led interventions a. may increase recovery (2 trials, 308 participants; RR 1.29, 95%CI 1.06 to 1.56); b. may reduce prevalence (2 trials, 479 participants; RR 0.42, 95%CI 0.18 to 0.96); c. may reduce symptoms (4 trials, 798 participants; SMD -0.59, 95%CI -1.01 to -0.16); d. may improve QOL (1 trial, 521 participants; SMD 0.51, 95%CI 0.34 to 0.69); e. may slightly reduce functional impairment (3 trials, 1399 participants; SMD -0.47, 95%CI -0.8 to -0.15); f. may reduce AEs (risk of suicide ideation/attempts); g. may have uncertain effects on SU. Collaborative-care a. may increase recovery (5 trials, 804 participants; RR 2.26, 95%CI 1.50 to 3.43); b. may reduce prevalence although the actual effect range indicates it may have little-or-no effect (2 trials, 2820 participants; RR 0.57, 95%CI 0.32 to 1.01); c. may slightly reduce symptoms (6 trials, 4419 participants; SMD -0.35, 95%CI -0.63 to -0.08); d. may slightly improve QOL (6 trials, 2199 participants; SMD 0.34, 95%CI 0.16 to 0.53); e. probably has little-to-no effect on functional impairment (5 trials, 4216 participants; SMD -0.13, 95%CI -0.28 to 0.03); f. may reduce SU (referral to MH specialists);  g. may have uncertain effects on AEs (death). Women with perinatal depression (PND) LHW-led interventions a. may increase recovery (4 trials, 1243 participants; RR 1.29, 95%CI 1.08 to 1.54); b. probably slightly reduce symptoms (5 trials, 1989 participants; SMD -0.26, 95%CI -0.37 to -0.14); c. may slightly reduce functional impairment (4 trials, 1856 participants; SMD -0.23, 95%CI -0.41 to -0.04); d. may have little-to-no effect on AEs (death);  e. may have uncertain effects on SU. Collaborative-care a. has uncertain effects on symptoms/QOL/SU/AEs. Adults with post-traumatic stress (PTS) or CMDs in humanitarian settings LHW-led interventions a. may slightly reduce depression symptoms (5 trials, 1986 participants; SMD -0.36, 95%CI -0.56 to -0.15); b. probably slightly improve QOL (4 trials, 1918 participants; SMD -0.27, 95%CI -0.39 to -0.15); c. may have uncertain effects on symptoms (PTS)/functioning/SU/AEs. PHP-led interventions a. may reduce PTS symptom prevalence (1 trial, 313 participants; RR 5.50, 95%CI 2.50 to 12.10) and depression prevalence (1 trial, 313 participants; RR 4.60, 95%CI 2.10 to 10.08);  b. may have uncertain effects on symptoms/functioning/SU/AEs.   Adults with harmful/hazardous alcohol or substance use LHW-led interventions a. may increase recovery from harmful/hazardous alcohol use although the actual effect range indicates it may have little-or-no effect (4 trials, 872 participants; RR 1.28, 95%CI 0.94 to 1.74); b. may have little-to-no effect on the prevalence of methamphetamine use (1 trial, 882 participants; RR 1.01, 95%CI 0.91 to 1.13) and  functional impairment (2 trials, 498 participants; SMD -0.14, 95%CI -0.32 to 0.03); c. probably slightly reduce risk of harmful/hazardous alcohol use (3 trials, 667 participants; SMD -0.22, 95%CI -0.32 to -0.11);  d. may have uncertain effects on SU/AEs. PHP/CP-led interventions a. probably have little-to-no effect on recovery from harmful/hazardous alcohol use (3 trials, 1075 participants; RR 0.93, 95%CI 0.77 to 1.12) or QOL (1 trial, 560 participants; MD 0.00, 95%CI -0.10 to 0.10); b. probably slightly reduce risk of harmful/hazardous alcohol and substance use (2 trials, 705 participants; SMD -0.20, 95%CI -0.35 to -0.05; moderate-certainty evidence); c. may have uncertain effects on prevalence (cannabis use)/SU/AEs. PW-led interventions for alcohol/substance dependence a. may have uncertain effects.  Adults with severe mental disorders *Comparisons were specialist-led care at T1. LHW-led interventions a. may have little-to-no effect on caregiver burden (1 trial, 253 participants; MD -0.04, 95%CI -0.18 to 0.11);  b. may have uncertain effects on symptoms/functioning/SU/AEs.  PHP-led or collaborative-care a. may reduce functional impairment (7 trials, 874 participants; SMD -1.13, 95%CI -1.78 to -0.47); b. may have uncertain effects on recovery/relapse/symptoms/QOL/SU.  Adults with dementia and carers PHP/LHW-led carer interventions a. may have little-to-no effect on the severity of behavioural symptoms in dementia patients (2 trials, 134 participants; SMD -0.26, 95%CI -0.60 to 0.08); b. may reduce carers' mental distress (2 trials, 134 participants; SMD -0.47, 95%CI -0.82 to -0.13);  c. may have uncertain effects on QOL/functioning/SU/AEs. Children with PTS or CMDs LHW-led interventions a. may have little-to-no effect on PTS symptoms (3 trials, 1090 participants; MCD -1.34, 95%CI -2.83 to 0.14); b. probably have little-to-no effect on depression symptoms (3 trials, 1092 participants; MCD -0.61, 95%CI -1.23 to 0.02) or on functional impairment (3 trials, 1092 participants; MCD -0.81, 95%CI -1.48 to -0.13);  c. may have little-or-no effect on AEs. CP-led interventions a. may have little-to-no effect on depression symptoms (2 trials, 602 participants; SMD -0.19, 95%CI -0.57 to 0.19) or on AEs;  b. may have uncertain effects on recovery/symptoms(PTS)/functioning. AUTHORS' CONCLUSIONS: PW-led interventions show promising benefits in improving outcomes for CMDs, PND, PTS, harmful alcohol/substance use, and dementia carers in LMICs.

Community health workers at the dawn of a new era: 3. Programme governance.

BACKGROUND: Community health workers (CHWs) can play a critical role in primary healthcare and are seen widely as important to achieving the health-related Sustainable Development Goals (SDGs). The COVID-19 pandemic has emphasized the key role of CHWs. Improving how CHW programmes are governed is increasingly recognized as important for achieving universal access to healthcare and other health-related goals. This paper, the third in a series on "Community Health Workers at the Dawn of a New Era", aims to raise critical questions that decision-makers need to consider for governing CHW programmes, illustrate the options for governance using examples of national CHW programmes, and set out a research agenda for understanding how CHW programmes are governed and how this can be improved. METHODS: We draw from a review of the literature as well as from the knowledge and experience of those involved in the planning and management of CHW programmes. RESULTS: Governing comprises the processes and structures through which individuals, groups, programmes, and organizations exercise rights, resolve differences, and express interests. Because CHW programmes are located between the formal health system and communities, and because they involve a wide range of stakeholders, their governance is complex. In addition, these programmes frequently fall outside of the governance structures of the formal health system or are poorly integrated with it, making governing these programmes more challenging. We discuss the following important questions that decision-makers need to consider in relation to governing CHW programmes: (1) How and where within political structures are policies made for CHW programmes? (2) Who implements decisions regarding CHW programmes and at what levels of government? (3) What laws and regulations are needed to support the programme? (4) How should the programme be adapted across different settings or groups within the country or region? CONCLUSION: The most appropriate and acceptable models for governing CHW programmes depend on communities, on local health systems, and on the political system in which the programme is located. Stakeholders in each setting need to consider what systems are currently in place and how they might be adapted to local needs and systems.

Community health workers at the dawn of a new era: 1. Introduction: tensions confronting large-scale CHW programmes.

BACKGROUND: Community health worker (CHW) programmes are again receiving more attention in global health, as reflected in important recent WHO guidance. However, there is a risk that current CHW programme efforts may result in disappointing performance if those promoting and delivering them fail to learn from past efforts. This is the first of a series of 11 articles for a supplement entitled "Community Health Workers at the Dawn of a New Era". METHODS: Drawing on lessons from case studies of large well-established CHW programmes, published literature, and the authors' experience, the paper highlights major issues that need to be acknowledged to design and deliver effective CHW programmes at large scale. The paper also serves as an introduction to a set of articles addressing these issues in detail. RESULTS: The article highlights the diversity and complexity of CHW programmes, and offers insights to programme planners, policymakers, donors, and others to inform development of more effective programmes. The article proposes that be understood as actors within community health system(s) and examines five tensions confronting large-scale CHW programmes; the first two tensions concern the role of the CHW, and the remaining three, broader strategic issues: 1) What kind of an actor is the CHW? A lackey or a liberator? Provider of clinical services or health promoter? 2) Lay versus professional? 3) Government programme at scale or nongovernmental organization-led demonstration project? 4) Standardized versus tailored to context? 5) Vertical versus horizontal? CONCLUSION: CHWs can play a vital role in primary healthcare, but multiple conditions need to be met for them to reach their full potential.

Community health workers at the dawn of a new era: 11. CHWs leading the way to "Health for All".

BACKGROUND: This is the concluding paper of our 11-paper supplement, "Community health workers at the dawn of a new era". METHODS: We relied on our collective experience, an extensive body of literature about community health workers (CHWs), and the other papers in this supplement to identify the most pressing challenges facing CHW programmes and approaches for strengthening CHW programmes. RESULTS: CHWs are increasingly being recognized as a critical resource for achieving national and global health goals. These goals include achieving the health-related Sustainable Development Goals of Universal Health Coverage, ending preventable child and maternal deaths, and making a major contribution to the control of HIV, tuberculosis, malaria, and noncommunicable diseases. CHWs can also play a critical role in responding to current and future pandemics. For these reasons, we argue that CHWs are now at the dawn of a new era. While CHW programmes have long been an underfunded afterthought, they are now front and centre as the emerging foundation of health systems. Despite this increased attention, CHW programmes continue to face the same pressing challenges: inadequate financing, lack of supplies and commodities, low compensation of CHWs, and inadequate supervision. We outline approaches for strengthening CHW programmes, arguing that their enormous potential will only be realized when investment and health system support matches rhetoric. Rigorous monitoring, evaluation, and implementation research are also needed to enable CHW programmes to continuously improve their quality and effectiveness. CONCLUSION: A marked increase in sustainable funding for CHW programmes is needed, and this will require increased domestic political support for prioritizing CHW programmes as economies grow and additional health-related funding becomes available. The paradigm shift called for here will be an important step in accelerating progress in achieving current global health goals and in reaching the goal of Health for All.

The TRANSFER Approach for assessing the transferability of systematic review findings.

BACKGROUND: Systematic reviews are a key input to health and social welfare decisions. Studies included in systematic reviews often vary with respect to contextual factors that may impact on how transferable review findings are to the review context. However, many review authors do not consider the transferability of review findings until the end of the review process, for example when assessing confidence in the evidence using GRADE or GRADE-CERQual. This paper describes the TRANSFER Approach, a novel approach for supporting collaboration between review authors and stakeholders from the beginning of the review process to systematically and transparently consider factors that may influence the transferability of systematic review findings. METHODS: We developed the TRANSFER Approach in three stages: (1) discussions with stakeholders to identify current practices and needs regarding the use of methods to consider transferability, (2) systematic search for and mapping of 25 existing checklists related to transferability, and (3) using the results of stage two to develop a structured conversation format which was applied in three systematic review processes. RESULTS: None of the identified existing checklists related to transferability provided detailed guidance for review authors on how to assess transferability in systematic reviews, in collaboration with decision makers. The content analysis uncovered seven categories of factors to consider when discussing transferability. We used these to develop a structured conversation guide for discussing potential transferability factors with stakeholders at the beginning of the review process. In response to feedback and trial and error, the TRANSFER Approach has developed, expanding beyond the initial conversation guide, and is now made up of seven stages which are described in this article. CONCLUSIONS: The TRANSFER Approach supports review authors in collaborating with decision makers to ensure an informed consideration, from the beginning of the review process, of the transferability of the review findings to the review context. Further testing of TRANSFER is needed.

Tracking health commodity inventory and notifying stock levels via mobile devices: a mixed methods systematic review.

BACKGROUND: Health systems need timely and reliable access to essential medicines and health commodities, but problems with access are common in many settings. Mobile technologies offer potential low-cost solutions to the challenge of drug distribution and commodity availability in primary healthcare settings. However, the evidence on the use of mobile devices to address commodity shortages is sparse, and offers no clear way forward. OBJECTIVES: Primary objective To assess the effects of strategies for notifying stock levels and digital tracking of healthcare-related commodities and inventory via mobile devices across the primary healthcare system Secondary objectives To describe what mobile device strategies are currently being used to improve reporting and digital tracking of health commodities To identify factors influencing the implementation of mobile device interventions targeted at reducing stockouts of health commodities SEARCH METHODS: We searched CENTRAL, MEDLINE Ovid, Embase Ovid, Global Index Medicus WHO, POPLINE K4Health, and two trials registries in August 2019. We also searched Epistemonikos for related systematic reviews and potentially eligible primary studies. We conducted a grey literature search using mHealthevidence.org, and issued a call for papers through popular digital health communities of practice. Finally, we conducted citation searches of included studies. We searched for studies published after 2000, in any language. SELECTION CRITERIA: For the primary objective, we included individual and cluster-randomised trials, controlled before-after studies, and interrupted time series studies. For the secondary objectives, we included any study design, which could be quantitative, qualitative, or descriptive, that aimed to describe current strategies for commodity tracking or stock notification via mobile devices; or aimed to explore factors that influenced the implementation of these strategies, including studies of acceptability or feasibility. We included studies of all cadres of healthcare providers, including lay health workers, and others involved in the distribution of health commodities (administrative staff, managerial and supervisory staff, dispensary staff); and all other individuals involved in stock notification, who may be based in a facility or a community setting, and involved with the delivery of primary healthcare services. We included interventions aimed at improving the availability of health commodities using mobile devices in primary healthcare settings. For the primary objective, we included studies that compared health commodity tracking or stock notification via mobile devices with standard practice. For the secondary objectives, we included studies of health commodity tracking and stock notification via mobile device, if we could extract data relevant to our secondary objectives. DATA COLLECTION AND ANALYSIS: For the primary objective, two authors independently screened all records, extracted data from the included studies, and assessed the risk of bias. For the analyses of the primary objectives, we reported means and proportions where appropriate. We used the GRADE approach to assess the certainty of the evidence, and prepared a 'Summary of findings' table. For the secondary objective, two authors independently screened all records, extracted data from the included studies, and applied a thematic synthesis approach to synthesise the data. We assessed methodological limitation using the Ways of Evaluating Important and Relevant Data (WEIRD) tool. We used the GRADE-CERQual approach to assess our confidence in the evidence, and prepared a 'Summary of qualitative findings' table. MAIN RESULTS: Primary objective For the primary objective, we included one controlled before-after study conducted in Malawi. We are uncertain of the effect of cStock plus enhanced management, or cStock plus effective product transport on the availability of commodities, quality and timeliness of stock management, and satisfaction and acceptability, because we assessed the evidence as very low-certainty. The study did not report on resource use or unintended consequences. Secondary objective For the secondary objectives, we included 16 studies, using a range of study designs, which described a total of eleven interventions. All studies were conducted in African (Tanzania, Kenya, Malawi, Ghana, Ethiopia, Cameroon, Zambia, Liberia, Uganda, South Africa, and Rwanda) and Asian (Pakistan and India) countries. Most of the interventions aimed to make data about stock levels and potential stockouts visible to managers, who could then take corrective action to address them. We identified several factors that may influence the implementation of stock notification and tracking via mobile device. These include challenges tied to infrastructural issues, such as poor access to electricity or internet, and broader health systems issues, such as drug shortages at the national level which cannot be mitigated by interventions at the primary healthcare level (low confidence). Several factors were identified as important, including strong partnerships with local authorities, telecommunication companies, technical system providers, and non-governmental organizations (very low confidence); availability of stock-level data at all levels of the health system (low confidence); the role of supportive supervision and responsive management (moderate confidence); familiarity and training of health workers in the use of the digital devices (moderate confidence); availability of technical programming expertise for the initial development and ongoing maintenance of the digital systems (low confidence); incentives, such as phone credit for personal use, to support regular use of the system (low confidence); easy-to-use systems built with user participation (moderate confidence); use of basic or personal mobile phones to support easier adoption (low confidence); consideration for software features, such as two-way communication (low confidence); and data availability in an easy-to-use format, such as an interactive dashboard (moderate confidence). AUTHORS' CONCLUSIONS: We need more, well-designed, controlled studies comparing stock notification and commodity management via mobile devices with paper-based commodity management systems. Further studies are needed to understand the factors that may influence the implementation of such interventions, and how implementation considerations differ by variations in the intervention.