Health care workers' experiences of calling-for-help when taking care of critically ill patients in hospitals in Tanzania and Kenya.

BACKGROUND: When caring for critically ill patients, health workers often need to 'call-for-help' to get assistance from colleagues in the hospital. Systems are required to facilitate calling-for-help and enable the timely provision of care for critically ill patients. Evidence around calling-for-help systems is mostly from high income countries and the state of calling-for-help in hospitals in Tanzania and Kenya has not been formally studied. This study aims to describe health workers' experiences about calling-for-help when taking care of critically ill patients in hospitals in Tanzania and Kenya. METHODS: Ten hospitals across Kenya and Tanzania were visited and in-depth interviews conducted with 30 health workers who had experience of caring for critically ill patients. The interviews were transcribed, translated and the data thematically analyzed. RESULTS: The study identified three thematic areas concerning the systems for calling-for-help when taking care of critically ill patients: 1) Calling-for-help structures: there is lack of functioning structures for calling-for-help; 2) Calling-for-help processes: the calling-for-help processes are innovative and improvised; and 3) Calling-for-help outcomes: the help that is provided is not as requested. CONCLUSION: Calling-for-help when taking care of a critically ill patient is a necessary life-saving part of care, but health workers in Tanzanian and Kenyan hospitals experience a range of significant challenges. Hospitals lack functioning structures, processes for calling-for-help are improvised and help that is provided is not as requested. These challenges likely cause delays and decrease the quality of care, potentially resulting in unnecessary mortality and morbidity.

Hospital readiness for the provision of care to critically ill patients in Tanzania- an in-depth cross-sectional study.

BACKGROUND: Critical illness is a state of ill health with vital organ dysfunction, a high risk of imminent death if care is not provided and potential for reversibility. The burden of critical illness is high, especially in low- and middle-income countries. Critical care can be provided as Essential Emergency and Critical Care (EECC)- the effective, low-cost, basic care that all critically ill patients should receive in all parts of all hospitals in the world- and advanced critical care- complex, resource-intensive care usually provided in an intensive care unit. The required resources may be available in the hospital and yet not be ready in the wards for immediate use for critically ill patients. The ward readiness of these resources, although harder to evaluate, is likely more important than their availability in the hospital. This study aimed to assess the ward readiness for EECC and the hospital availability of resources for EECC and for advanced critical care in hospitals in Tanzania. METHODS: An in-depth, cross-sectional study was conducted in five purposively selected hospitals by visiting all wards to collect data on all the required 66 EECC and 161 advanced critical care resources. We defined hospital-availability as a resource present in the hospital and ward-readiness as a resource available, functioning, and present in the right place, time and amounts for critically ill patient care in the wards. Data were analyzed to calculate availability and readiness scores as proportions of the resources that were available at hospital level, and ready at ward level respectively. RESULTS: Availability of EECC resources in hospitals was 84% and readiness in the wards was 56%. District hospitals had lower readiness scores (less than 50%) than regional and tertiary hospitals. Equipment readiness was highest (65%) while that of guidelines lowest (3%). Availability of advanced critical care resources was 31%. CONCLUSION: Hospitals in Tanzania lack readiness for the provision of EECC- the low-cost, life-saving care for critically ill patients. The resources for EECC were available in hospitals, but were not ready for the immediate needs of critically ill patients in the wards. To provide effective EECC to all patients, improvements are needed around the essential, low-cost resources in hospital wards that are essential for decreasing preventable deaths.

Conceptualising engagement with HIV care for people on treatment: the Indicators of HIV Care and AntiRetroviral Engagement (InCARE) Framework.

BACKGROUND: As the crisis-based approach to HIV care evolves to chronic disease management, supporting ongoing engagement with HIV care is increasingly important to achieve long-term treatment success. However, 'engagement' is a complex concept and ambiguous definitions limit its evaluation. To guide engagement evaluation and development of interventions to improve HIV outcomes, we sought to identify critical, measurable dimensions of engagement with HIV care for people on treatment from a health service-delivery perspective. METHODS: We used a pragmatic, iterative approach to develop a framework, combining insights from researcher experience, a narrative literature review, framework mapping, expert stakeholder input and a formal scoping review of engagement measures. These inputs helped to refine the inclusion and definition of important elements of engagement behaviour that could be evaluated by the health system. RESULTS: The final framework presents engagement with HIV care as a dynamic behaviour that people practice rather than an individual characteristic or permanent state, so that people can be variably engaged at different points in their treatment journey. Engagement with HIV care for those on treatment is represented by three measurable dimensions: 'retention' (interaction with health services), 'adherence' (pill-taking behaviour), and 'active self-management' (ownership and self-management of care). Engagement is the product of wider contextual, health system and personal factors, and engagement in all dimensions facilitates successful treatment outcomes, such as virologic suppression and good health. While retention and adherence together may lead to treatment success at a particular point, this framework hypothesises that active self-management sustains treatment success over time. Thus, evaluation of all three core dimensions is crucial to realise the individual, societal and public health benefits of antiretroviral treatment programmes. CONCLUSIONS: This framework distils a complex concept into three core, measurable dimensions critical for the maintenance of engagement. It characterises elements that the system might assess to evaluate engagement more comprehensively at individual and programmatic levels, and suggests that active self-management is an important consideration to support lifelong optimal engagement. This framework could be helpful in practice to guide the development of more nuanced interventions that improve long-term treatment success and help maintain momentum in controlling a changing epidemic.

Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review.

BACKGROUND: There are a host of emergent technologies with the potential to improve hospital care in low- and middle-income countries such as Vietnam. Wearable monitors and artificial intelligence-based decision support systems could be integrated with hospital-based digital health systems such as electronic health records (EHRs) to provide higher level care at a relatively low cost. However, the appropriate and sustainable application of these innovations in low- and middle-income countries requires an understanding of the local government's requirements and regulations such as technology specifications, cybersecurity, data-sharing protocols, and interoperability. OBJECTIVE: This scoping review aims to explore the current state of digital health research and the policies that govern the adoption of digital health systems in Vietnamese hospitals. METHODS: We conducted a scoping review using a modification of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. PubMed and Web of Science were searched for academic publications, and ThÆ° Vien Pháp Luat, a proprietary database of Vietnamese government documents, and the Vietnam Electronic Health Administration website were searched for government documents. Google Scholar and Google Search were used for snowballing searches. The sources were assessed against predefined eligibility criteria through title, abstract, and full-text screening. Relevant information from the included sources was charted and summarized. The review process was primarily undertaken by one researcher and reviewed by another researcher during each step. RESULTS: In total, 11 academic publications and 20 government documents were included in this review. Among the academic studies, 5 reported engineering solutions for information systems in hospitals, 2 assessed readiness for EHR implementation, 1 tested physicians' performance before and after using clinical decision support software, 1 reported a national laboratory information management system, and 2 reviewed the health system's capability to implement eHealth and artificial intelligence. Of the 20 government documents, 19 were promulgated from 2013 to 2020. These regulations and guidance cover a wide range of digital health domains, including hospital information management systems, general and interoperability standards, cybersecurity in health organizations, conditions for the provision of health information technology (HIT), electronic health insurance claims, laboratory information systems, HIT maturity, digital health strategies, electronic medical records, EHRs, and eHealth architectural frameworks. CONCLUSIONS: Research about hospital-based digital health systems in Vietnam is very limited, particularly implementation studies. Government regulations and guidance for HIT in health care organizations have been released with increasing frequency since 2013, targeting a variety of information systems such as electronic medical records, EHRs, and laboratory information systems. In general, these policies were focused on the basic specifications and standards that digital health systems need to meet. More research is needed in the future to guide the implementation of digital health care systems in the Vietnam hospital setting.

Are health care assistants part of the long-term solution to the nursing workforce deficit in Kenya?

This commentary article addresses a critical issue facing Kenya and other Low- and Middle-Income Countries (LMIC): how to remedy deficits in hospitals' nursing workforce. Would employing health care assistants (HCAs) provide a partial solution? This article first gives a brief introduction to the Kenyan context and then explores the development of workforce roles to support nurses in Europe to highlight the diversity of these roles. Our introduction pinpoints that pressures to maintain or restrict costs have led to a wide variety of formal and informal task shifting from nurses to some form of HCA in the EU with differences noted in issues of appropriate skill mix, training, accountability, and regulation of HCA. Next, we draw from a suite of recent studies in hospitals in Kenya which illustrate nursing practices in a highly pressurized context. The studies took place in neo-natal wards in Kenyan hospitals between 2015 and 2018 and in a system with no legal or regulatory basis for task shifting to HCAs. We proffer data on why and how nurses informally delegate tasks to others in the public sector and the decision-making processes of nurses and frame this evidence in the specific contextual conditions. In the conclusion, the paper aims to deepen the debates on developing human resources for health. We argue that despite the urgent pressures to address glaring workforce deficits in Kenya and other LMIC, caution needs to be exercised in implementing changes to nursing practices through the introduction of HCAs. The evidence from EU suggests that the rapid growth in the employment of HCA has created crucial issues which need addressing. These include clearly defining the scope of practice and developing the appropriate skill mix between nurses and HCAs to match the specific health system context. Moreover, we suggest efforts to develop and implement such roles should be carefully designed and rigorously evaluated to inform continuing policy development.

Exploring the space for task shifting to support nursing on neonatal wards in Kenyan public hospitals.

BACKGROUND: Nursing practice is a key driver of quality care and can influence newborn health outcomes where nurses are the primary care givers to this highly dependent group. However, in sub-Saharan Africa, nursing work environments are characterized by heavy workloads, insufficient staffing and regular medical emergencies, which compromise the ability of nurses to provide quality care. Task shifting has been promoted as one strategy for making efficient use of human resources and addressing these issues. AIMS AND OBJECTIVES: We aimed to understand the nature and practice of neonatal nursing in public hospitals in Nairobi so as to determine what prospect there might be for relieving pressure by shifting nurses' work to others. METHODS: This paper is based on an 18-month qualitative study of three newborn units of three public hospitals-all located in Nairobi county-using an ethnographic approach. We draw upon a mix of 32 interviews, over 250 h' observations, field notes and informal conversations. Data were collected from senior nursing experts in newborn nursing, neonatal nurse in-charges, neonatal nurses, nursing students and support staff. RESULTS: To cope with difficult work conditions characterized by resource challenges and competing priorities, nurses have developed a ritualized schedule and a form of 'subconscious triage'. Informal, organic task shifting was already taking place whereby particular nursing tasks were delegated to students, mothers and support staff, often without any structured supervision. Despite this practice, nurses were agnostic about formal institutionalization of task shifting due to concerns around professional boundaries and the practicality of integrating a new cadre into an already stressed health system. CONCLUSION: Our findings revealed a routine template of neonatal nursing work which nurses used to control unpredictability. We found that this model of nursing encouraged delegation of less technical tasks to subordinates, parents and other staff through the process of 'subconscious triage'. The rich insights we gained from this organic form of task shifting can inform more formal task-shifting projects as they seek to identify tasks most easily delegated, and how best to support and work with busy nurses.

What does the literature tell us about health workers' experiences of task-shifting projects in sub-Saharan Africa? A systematic, qualitative review.

AIMS AND OBJECTIVES: To review systematically, qualitative literature covering the implementation of task shifting in sub-Saharan Africa to address the growing interest in interventions of this kind. This review aims to distil the key practical findings to both guide a specific project aiming to improve the quality of neonatal care in Kenya and to contribute to the broader literature. BACKGROUND: Task-shifting programmes aim to improve access to healthcare by delegating specific tasks from higher to lower skilled health workers. Evidence suggests that task-shifting programmes in sub-Saharan Africa may improve patient outcomes, but they have also been criticised for providing fragmented, unsustainable services. This systematic review of qualitative literature summarises factors affecting implementation of task shifting and how such interventions in sub-Saharan Africa may have affected health workers' feelings about their own positions and their ability to provide care. DESIGN: Following literature search, a modified Critical Appraisal Skills Program (CASP) framework was used to assess quality. Thereafter, analysis adopted a thematic synthesis approach. METHODS: A systematic literature search identified qualitative studies examining task -shifting interventions in sub-Saharan Africa. Thematic synthesis was used to identify overarching themes arising from across the studies and infer how task-shifting interventions may impact on the health workers from whom tasks are being shifted. RESULTS: From the 230 studies screened, 13 met the inclusion criteria. Overarching themes identified showed that task shifting has been associated with jurisdictional debates linked to new cadres working beyond their scope of practice, and tension around compensation and career development for those taking on tasks that were being delegated. CONCLUSIONS: Based on the qualitative data available, it appears that task shifting may negatively impact the sense of agency and the ability to perform of health workers' from whom tasks are shifted. The potential implications of task shifting on all health workers should be considered prior to implementing task-shifting solutions.

Third delay in care of critically ill patients: a qualitative investigation of public hospitals in Kenya.

OBJECTIVES: Third delay refers to delays in delivering requisite care to patients after they arrive at a health facility. In low-resource care settings, effective triage and flow of care are difficult to guarantee. In this study, we aimed to identify delays in the delivery of care to critically ill patients and possible ways to address these delays. DESIGN: This was an exploratory qualitative study using in-depth interviews and patient journeys. The qualitative data were transcribed and aggregated into themes in NVivo V.12 Plus using inductive and deductive approaches. SETTING: This study was conducted in four secondary-level public Kenyan hospitals across four counties between March and December 2021. The selected hospitals were part of the Clinical Information Network. PARTICIPANTS: Purposive sampling method was used to identify administrative and front-line healthcare providers and patients. We conducted 12 in-depth interviews with 11 healthcare workers and patient journeys of 7 patients. Informed consent was sought from the participants and maintained throughout the study. RESULTS: We identified a cycle of suboptimal systems for care with adaptive mechanisms that prevent quality care to critically ill patients. We identified suboptimal systems for identification of critical illness, inadequate resources for continuity care and disruption of the flow of care, as the major causes of delays in identification and the initiation of essential care to critically ill patients. Our study also illuminated the contribution of inflexible bureaucratic non-clinical business-related organisational processes to third delay. CONCLUSION: Eliminating or reducing delays after patients arrive at the hospital is a time-sensitive measure that could improve the care outcomes of critically ill patients. This is achievable through an essential emergency and critical care package within the hospitals. Our findings can help emphasise the need for standardised effective and reliable care priorities to maintain of care of critically ill patients.

Acceptance and User Experiences of a Wearable Device for the Management of Hospitalized Patients in COVID-19-Designated Wards in Ho Chi Minh City, Vietnam: Action Learning Project.

BACKGROUND: Wearable devices have been used extensively both inside and outside of the hospital setting. During the COVID-19 pandemic, in some contexts, there was an increased need to remotely monitor pulse and saturated oxygen for patients due to the lack of staff and bedside monitors. OBJECTIVE: A prototype of a remote monitoring system using wearable pulse oximeter devices was implemented at the Hospital for Tropical Diseases in Ho Chi Minh City, Vietnam, from August to December 2021. The aim of this work was to support the ongoing implementation of the remote monitoring system. METHODS: We used an action learning approach with rapid pragmatic methods, including informal discussions and observations as well as a feedback survey form designed based on the technology acceptance model to assess the use and acceptability of the system. Based on these results, we facilitated a meeting using user-centered design principles to explore user needs and ideas about its development in more detail. RESULTS: In total, 21 users filled in the feedback form. The mean technology acceptance model scores ranged from 3.5 (for perceived ease of use) to 4.4 (for attitude) with behavioral intention (3.8) and perceived usefulness (4.2) scoring in between. Those working as nurses scored higher on perceived usefulness, attitude, and behavioral intention than did physicians. Based on informal discussions, we realized there was a mismatch between how we (ie, the research team) and the ward teams perceived the use and wider purpose of the technology. CONCLUSIONS: Designing and implementing the devices to be more nurse-centric from their introduction could have helped to increase their efficiency and use during the complex pandemic period.

Same label, different patients: Health-workers' understanding of the label 'critical illness'.

Background: During the course of patients' sickness, some become critically ill, and identifying them is the first important step to be able to manage the illness. During the course of care provision, health workers sometimes use the term 'critical illness' as a label when referring to their patient's condition, and the label is then used as a basis for communication and care provision. Their understanding of this label will therefore have a profound impact on the identification and management of patients. This study aimed to determine how Kenyan and Tanzanian health workers understand the label 'critical illness'. Methods: A total of 10 hospitals-five in Kenya and five in Tanzania-were visited. In-depth interviews were conducted with 30 nurses and physicians from different departments in the hospitals who had experience in providing care for sick patients. We conducted a thematic analysis of the translated and transcribed interviews, synthesized findings and developed an overarching set of themes which captured healthcare workers' understandings of the label 'critical illness'. Results: Overall, there does not appear to be a unified understanding of the label 'critical illness' among health workers. Health workers understand the label to refer to patients in four thematic ways: (1) those in a life-threatening state; (2) those with certain diagnoses; (3) those receiving care in certain locations; and (4) those in need of a certain level of care. Conclusion: There is a lack of a unified understanding about the label 'critical illness' among health workers in Tanzania and Kenya. This potentially hampers communication and the selection of patients for urgent life-saving care. A recently proposed definition, "a state of ill health with vital organ dysfunction, a high risk of imminent death if care is not provided and the potential for reversibility", could be useful for improving communication and care.

COVID-19 and unintended steps towards further equity in global health research.

There was, and possibly still is, potential for COVID-19 to disrupt power inequities and contribute to positive transformation in global health research that increases equity. While there is consensus about the need to decolonise by transforming global health, and a roadmap outlining how we could approach it, there are few examples of steps that could be taken to transform the mechanics of global health research. This paper contributes lessons learnt from experiences and reflections of our diverse multinational team of researchers involved in a multicountry research project. We demonstrate the positive impact on our research project of making further steps towards improving equity within our research practices. Some of the approaches adopted include redistributing power to researchers from the countries of interest at various stages in their career, by involving the whole team in decisions about the research; meaningfully involving the whole team in research data analysis; and providing opportunities for all researchers from the countries of interest to voice their perspectives as first authors in publications. Although this approach is consistent with how research guidance suggests research should be run, in reality it does not often happen in this way. The authors of this paper hope that by sharing our experience, we can contribute towards discussions about the processes required to continue developing a global health sector that is equitable and inclusive.

Protocol for the Pathways Study: a realist evaluation of staff social ties and communication in the delivery of neonatal care in Kenya.

INTRODUCTION: The informal social ties that health workers form with their colleagues influence knowledge, skills and individual and group behaviours and norms in the workplace. However, improved understanding of these 'software' aspects of the workforce (eg, relationships, norms, power) have been neglected in health systems research. In Kenya, neonatal mortality has lagged despite reductions in other age groups under 5 years. A rich understanding of workforce social ties is likely to be valuable to inform behavioural change initiatives seeking to improve quality of neonatal healthcare.This study aims to better understand the relational components among health workers in Kenyan neonatal care areas, and how such understanding might inform the design and implementation of quality improvement interventions targeting health workers' behaviours. METHODS AND ANALYSIS: We will collect data in two phases. In phase 1, we will conduct non-participant observation of hospital staff during patient care and hospital meetings, a social network questionnaire with staff, in-depth interviews, key informant interviews and focus group discussions at two large public hospitals in Kenya. Data will be collected purposively and analysed using realist evaluation, interim analyses including thematic analysis of qualitative data and quantitative analysis of social network metrics. In phase 2, a stakeholder workshop will be held to discuss and refine phase one findings.Study findings will help refine an evolving programme theory with recommendations used to develop theory-informed interventions targeted at enhancing quality improvement efforts in Kenyan hospitals. ETHICS AND DISSEMINATION: The study has been approved by Kenya Medical Research Institute (KEMRI/SERU/CGMR-C/241/4374) and Oxford Tropical Research Ethics Committee (OxTREC 519-22). Research findings will be shared with the sites, and disseminated in seminars, conferences and published in open-access scientific journals.

Hospital care for critical illness in low-resource settings: lessons learned during the COVID-19 pandemic.

Care for the critically ill patients is often considered synonymous with a hospital having an intensive care unit. However, a focus on Essential Emergency and Critical Care (EECC) may obviate the need for much intensive care. Severe COVID-19 presented a specific critical care challenge while also being an exemplar of critical illness in general. Our multidisciplinary team conducted research in Kenya and Tanzania on hospitals' ability to provide EECC as the COVID-19 pandemic unfolded. Important basic inputs were often lacking, especially sufficient numbers of skilled health workers. However, we learnt that higher scores on resource readiness scales were often misleading, as resources were often insufficient or not functional in all the clinical areas they are needed. By following patient journeys, through interviews and group discussions, we revealed gaps in timeliness, continuity and delivery of care. Generic challenges in transitions between departments were identified in the receipt of critically ill patients, the ability to sustain monitoring and treatment and preparation for any subsequent transition. While the global response to COVID-19 focused initially on providing technologies and training, first ventilators and later oxygen, organisational and procedural challenges seemed largely ignored. Yet, they may even be exacerbated by new technologies. Efforts to improve care for the critically ill patients, which is a complex process, must include a whole system and whole facility view spanning all areas of patients' care and their transitions and not be focused on a single location providing 'critical care'. We propose a five-part strategy to support the system changes needed.

Receive, Sustain, and Flow: A simple heuristic for facilitating the identification and treatment of critically ill patients during their hospital journeys.

Background: Hospital patients can become critically ill anywhere in a hospital but their survival is affected by problems of identification and adequate, timely, treatment. This is issue of particular concern in lower middle-income countries' (LMICs) hospitals where specialised units are scarce and severely under-resourced. "Cross-sectional" approaches to improving narrow, specific aspects of care will not attend to issues that affect patients' care across the length of their experience. A simpler approach to understanding key issues across the "hospital journey" could help to deliver life-saving treatments to those patients who need it, wherever they are in the facility. Methods: We carried out 31 narrative interviews with frontline health workers in five Kenyan and five Tanzanian hospitals from November 2020 to December 2021 during the COVID-19 pandemic and analysed using a thematic analysis approach. We also followed 12 patient hospital journeys, through the course of treatment of very sick patients admitted to the hospitals we studied. Results: Our research explores gaps in hospital systems that result in lapses in effective, continuous care across the hospital journeys of patients in Tanzania and Kenya. We organise these factors according to the Systems Engineering Initiative for Patient Safety (SEIPS) approach to patient safety, which we extend to explore how these issues affect patients across the course of care. We discern three repeating, recursive phases we term Receive, Sustain, and Flow. We use this heuristic to show how gaps and weaknesses in service provision affect critically ill patients' hospital journeys. Conclusion: Receive, Sustain, and Flow offers a heuristic for hospital management to identify and ameliorate limitations in human and technical resources for the care of the critically ill.

Policies and resources for strengthening of emergency and critical care services in the context of the global COVID-19 pandemic in Kenya.

Critical illnesses cause several million deaths annually, with many of these occurring in low-resource settings like Kenya. Great efforts have been made worldwide to scale up critical care to reduce deaths from COVID-19. Lower income countries with fragile health systems may not have had sufficient resources to upscale their critical care. We aimed to review how efforts to strengthen emergency and critical care were operationalised during the pandemic in Kenya to point towards how future emergencies should be approached. This was an exploratory study that involved document reviews, and discussions with key stakeholders (donors, international agencies, professional associations, government actors), during the first year of the pandemic in Kenya. Our findings suggest that pre-pandemic health services for the critically ill in Kenya were sparse and unable to meet rising demand, with major limitations noted in human resources and infrastructure. The pandemic response saw galvanised action by the Government of Kenya and other agencies to mobilise resources (approximately USD 218 million). Earlier efforts were largely directed towards advanced critical care but since the human resource gap could not be reduced immediately, a lot of equipment remained unused. We also note that despite strong policies on what resources should be available, the reality on the ground was that there were often critical shortages. While emergency response mechanisms are not conducive to addressing long-term health system issues, the pandemic increased global recognition of the need to fund care for the critically ill. Limited resources may be best prioritised towards a public health approach with focus on provision of relatively basic, lower cost essential emergency and critical care (EECC) that can potentially save the most lives amongst critically ill patients.

The social networks of hospital staff: A realist synthesis.

OBJECTIVES: The social ties people have with one another are known to influence behaviour, and how information is accessed and interpreted. It is unclear, however, how the social networks that exist in multi-professional health care workplaces might be used to improve quality in hospitals. This paper develops explanatory theory using realist synthesis to illuminate the details and significance of the social ties between health care workers. Specifically we ask: How, why, for whom, to what extent and in what context, do the social ties of staff within a hospital influence quality of service delivery, including quality improvement? METHODS: From a total of 75 included documents identified through an extensive systematic literature search, data were extracted and analysed to identify emergent explanatory statements. RESULTS: The synthesis found that within the hospital workforce, an individual's place in the social whole can be understood across four identified domains: (1) social group, (2) hierarchy, (3) bridging distance and (4) discourse. Thirty-five context-mechanism-outcome configurations were developed across these domains. CONCLUSIONS: The relative position of individual health care workers within the overall social network in hospitals is associated with influence and agency. As such, power to bring about change is inequitably and socially situated, and subject to specific contexts. The findings of this realist synthesis offer a lens through which to understand social ties in hospitals. The findings can help identify possible strategies for intervention to improve communication and distribution of power, for individual, team and wider multi-professional behavioural change in hospitals.

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study.

INTRODUCTION: Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation. METHODS: We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders. RESULTS AND DISCUSSION: We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients. CONCLUSIONS: Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.

Reporting of diagnostic and laboratory tests by general hospitals as an indication of access to diagnostic laboratory services in Kenya.

INTRODUCTION: Information on laboratory test availability and current testing scope among general hospitals in Kenya is not readily available. We sought to explore the reporting trends and test availability within clinical laboratories in Kenya over a 24-months period through analysis of the laboratory data reported in the District Health Information System (DHIS2). METHODS: Monthly hospital laboratory testing data were extracted from the Kenyan DHIS2 between January 2018 and December 2019. We used the national laboratory testing summary tool (MoH 706) to identify the tests of interest among 204 general hospitals in Kenya. A local practitioner panel consisting of individuals with laboratory expertise was used to classify the tests as common and uncommon. We compared the tests on the MoH 706 template with the Essential Diagnostic List (EDL) of the World Health Organisation and further reclassified them into test categories based on the EDL for generalisability of our findings. Evaluation of the number of monthly test types reported in each facility and the largest number of tests ever reported in any of the 24 months were used to assess test availability and testing scope, respectively. RESULTS: Out of the 204 general hospitals assessed, 179 (179/204) reported at least one of the 80 tests of interest in any of the 24 months. Only 41% (74/179) of the reporting hospitals submitted all their monthly DHIS2 laboratory reports for the entire 24 months. The median testing capacity across the hospitals was 40% with a wide variation in testing scope from one hospital laboratory to another (% IQR: 33.8-51.9). Testing scope was inconsistent within facilities as indicated by often large monthly fluctuations in the total number of recommended and EDL tests reported. Tests of anatomical pathology and cancer were the least reported with 4 counties' hospitals not reporting any cancer or anatomical pathology tests for the entire 24 months. CONCLUSION: The current reporting of laboratory testing information in DHIS2 is poor. Monitoring access and utilisation of laboratory testing across the country would require significant improvements in consistency and coverage of routine laboratory test reporting in DHIS2. Nonetheless, the available data suggest unequal and intermittent population access to laboratory testing provided by general hospitals in Kenya.

Improving facility-based care: eliciting tacit knowledge to advance intervention design.

Attention has turned to improving the quality and safety of healthcare within health facilities to reduce avoidable mortality and morbidity. Interventions should be tested in health system environments that can support their adoption if successful. To be successful, interventions often require changes in multiple behaviours making their consequences unpredictable. Here, we focus on this challenge of change at the mesolevel or microlevel. Drawing on multiple insights from theory and our own empirical work, we highlight the importance of engaging managers, senior and frontline staff and potentially patients to explore foundational questions examining three core resource areas. These span the physical or material resources available, workforce capacity and capability and team and organisational relationships. Deficits in all these resource areas may need to be addressed to achieve success. We also argue that as inertia is built into the complex social and human systems characterising healthcare facilities that thought on how to mobilise five motive forces is needed to help achieve change. These span goal alignment and ownership, leadership for change, empowering key actors, promoting responsive planning and procurement and learning for transformation. Our aim is to bridge the theory-practice gap and offer an entry point for practical discussions to elicit the critical tacit and contextual knowledge needed to design interventions. We hope that this may improve the chances that interventions are successful and so contribute to better facility-based care and outcomes while contributing to the development of learning health systems.

The CINAMR (Clinical Information Network-Antimicrobial Resistance) Project: A pilot microbial surveillance using hospitals linked to regional laboratories in Kenya: Study Protocol.

Background: Antimicrobial resistance (AMR) is a global threat and is thought to be acute in low-and middle-income country (LMIC) settings, including in Kenya, but there is limited unbiased surveillance that can provide reliable estimates of its burden. Current efforts to build capacity for microbiology testing in Kenya are unlikely to result in systematic routine microbiological testing in the near term. Therefore, there is little prospect for microbiological support to inform clinical diagnoses nor for indicating the burden of AMR and for guiding empirical choice of antibiotics. Objective: We aim to build on an existing collaboration, the Clinical Information Network (CIN), to pilot microbiological surveillance using a 'hub-and-spoke' model where selected hospitals are linked to high quality microbiology research laboratories. Methods: Children admitted to paediatric wards of 12 participating hospitals will have a sample taken for blood culture at admission before antibiotics are started. Indication for blood culture will be a clinician's prescription of antibiotics. Samples will then be transported daily to the research laboratories for culture and antibiotic susceptibility testing and results relayed back to clinicians for patient management. The surveillance will take place for 6 months in each hospital. Separately, we shall conduct semi-structured interviews with frontline health workers to explore the feasibility and utility of this approach. We will also seek to understand how the availability of microbiology results might inform antibiotic stewardship, and as an interim step to the development of better national or regional laboratories linked to routine surveillance. Conclusions: If feasible, this approach is less costly and periodic 'hub-and-spoke' surveillance can be used to track AMR trends and to broadly guide empirical antibiotic guidance meaning it is likely to be more sustainable than establishing functional microbiological facilities in each hospital in a LMIC setting.