Evaluating theory of change to improve the functioning of the network for improving quality of care for maternal, newborn and child health.

In 2017, WHO and global partners launched 'The Network for Improving Quality of Care for Maternal, Newborn and Child Health' (QCN) seeking to reduce in-facility maternal and newborn deaths and stillbirth by 50% in health facilities by 2022. We explored how the QCN theory of change guided what actually happened over 2018-2022 in order to understand what worked well, what did not, and to ultimately describe the consequences of QCN activities. We applied theory of change analysis criteria to investigate how well-defined, plausible, coherent and measurable the results were, how well-defined, coherent, justifiable, realistic, sustainable and measurable the assumptions were, and how independent and sufficient the causal links were. We found that the QCN theory of change was not used in the same way across implementing countries. While the theory stipulated Leadership, Action, Learning and Accountability as the principle to guide network activity implementation other principles and varying quality improvement methods have also been used; key conditions were missing at service integration and process levels in the global theory of change for the network. Conditions such as lack of physical resources were frequently reported to be preventing adequate care, or harm patient satisfaction. Key partners and implementers were not introduced to the network theory of change early enough for them to raise critical questions about their roles and the need for, and nature of, quality of care interventions. Whilst the theory of change was created at the outset of QCN it is not clear how much it guided actual activities or any monitoring and evaluation as things progressed. Enabling countries to develop their theory of change, perhaps guided by the global framework, could improve stakeholder engagement, allow local evaluation of assumptions and addressing of challenges, and better target QCN work toward achieving its goals.

Factors influencing the development, recruitment, integration, retention and career development of advanced practice providers in hospital health care teams: a scoping review.

BACKGROUND: Advanced practice providers (APPs), including physician assistants/associates (PAs), nurse practitioners (NPs) and other non-physician roles, have been developed largely to meet changing healthcare demand and increasing workforce shortages. First introduced in primary care in the US, APPs are prevalent in secondary care across different specialty areas in different countries around the world. In this scoping review, we aimed to summarise the factors influencing the development, recruitment, integration, retention and career development of APP roles in hospital health care teams. METHODS: We conducted a scoping review and searched Ovid MEDLINE, Ovid Embase, Ovid Global Health, Ovid PsycINFO and EBSCOhost CINAHL to obtain relevant articles published between Jan 2000 and Apr 2023 that focused on workforce management of APP roles in secondary care. Articles were screened by two reviewers independently. Data from included articles were charted and coded iteratively to summarise factors influencing APP development, recruitment, integration, retention and career development across different health system structural levels (macro-, meso- and micro-level). RESULTS: We identified and analysed 273 articles that originated mostly from high-income countries, e.g. the US (n = 115) and the UK (n = 52), and primarily focused on NP (n = 183) and PA (n = 41). At the macro-level, broader workforce supply, national/regional workforce policies such as work-hour restrictions on physicians, APP scope of practice regulations, and views of external collaborators, stakeholders and public representation of APPs influenced organisations' decisions on developing and managing APP roles. At the meso-level, organisational and departmental characteristics, organisational planning, strategy and policy, availability of resources, local experiences and evidence as well as views and perceptions of local organisational leaders, champions and other departments influenced all stages of APP role management. Lastly at the micro-level, individual APPs' backgrounds and characteristics, clinical team members' perceptions, understanding and relationship with APP roles, and patient perceptions and preferences also influenced how APPs are developed, integrated and retained. CONCLUSIONS: We summarised a wide range of factors influencing APP role development and management in secondary care teams. We highlighted the importance for organisations to develop context-specific workforce solutions and strategies with long-term investment, significant resource input and transparent processes to tackle evolving healthcare challenges.

Conducting cross-cultural, multi-lingual or multi-country scale development and validation in health care research: A 10-step framework based on a scoping review.

Background: Valid, reliable and cross-cultural equivalent scales and measurement instruments that enable comparisons across diverse populations in different countries are important for global health research and practice. We developed a 10-step framework through a scoping review of the common strategies and techniques used for scale development and validation in a cross-cultural, multi-lingual, or multi-country setting, especially in health care research. Methods: We searched MEDLINE, Embase, and PsycINFO for peer-reviewed studies that collected data from two or more countries or in two or more languages at any stages of scale development or validation and published between 2010-22. We categorised the techniques into three commonly used scale development and validation stages (item generation, scale development, and scale evaluation) as well as during the translation stage. We described the most commonly used techniques at each stage. Results: We identified 141 studies that were included in the analysis. We summarised 14 common techniques and strategies, including focus groups or interviews with diverse target populations, and involvement of measurement experts and linguists for item content validity expert panel at the item generation stage; back-and-forth translation, collaborative team approach for the translation stage; cognitive interviews and different recruitment strategies and incentives in different settings for scale development stage; and three approaches for measurement invariance (multigroup confirmatory factor analysis, differential item functioning and multiple indicator multiple causes) for scale evaluation stage. Conclusions: We provided a 10-step framework for cross-cultural, multi-lingual or multi-country scale development and validation based on these techniques and strategies. More research and synthesis are needed to make scale development more culturally competent and enable scale application to better meet local health and development needs.

Factors shaping network emergence: A cross-country comparison of quality of care networks in Bangladesh, Ethiopia, Malawi, and Uganda.

The Quality-of-Care Network (QCN) was conceptualized by the World Health Organization (WHO) and other global partners to facilitate learning on and improve quality of care for maternal and newborn health within and across low and middle-income countries. However, there was significant variance in the speed and extent to which QCN formed in the involved countries. This paper investigates the factors that shaped QCN's differential emergence in Bangladesh, Ethiopia, Malawi, and Uganda. Drawing on network scholarship, we conducted a replicated case study of the four country cases and triangulated several sources of data, including a document review, observations of national-level and district level meetings, and key informant interviews in each country and at the global level. Thematic coding was performed in NVivo 12. We find that QCN emerged most quickly and robustly in Bangladesh, followed by Ethiopia, then Uganda, and slowest and with least institutionalization in Malawi. Factors connected to the policy environment and network features explained variance in network emergence. With respect to the policy environment, pre-existing resources and initiatives dedicated to maternal and newborn health and quality improvement, strong data and health system capacity, and national commitment to advancing on synergistic goals were crucial drivers to QCN's emergence. With respect to the features of the network itself, the embedding of QCN leadership in powerful agencies with pre-existing coordination structures and trusting relationships with key stakeholders, inclusive network membership, and effective individual national and local leadership were also crucial in explaining QCN's speed and quality of emergence across countries. Studying QCN emergence provides critical insights as to why well-intentioned top-down global health networks may not materialize in some country contexts and have relatively quick uptake in others, and has implications for a network's perceived legitimacy and ultimate effectiveness in producing stated objectives.

HCI-modelling for improving the clinical usability of digital health technologies.

INTRODUCTION: Digital Health Technologies (DHTs) have been shown to have variable usability as measured by efficiency, effectiveness and user satisfaction despite large-scale government projects to regulate and standardise user interface (UI) design. We hypothesised that Human-Computer Interaction (HCI) modelling could improve the methodology for DHT design and regulation, and support the creation of future evidence-based UI standards and guidelines for DHTs. METHODOLOGY: Using a Design Science Research (DSR) framework, we developed novel UI components that adhered to existing standards and guidelines (combining the NHS Common User Interface (CUI) standard and the NHS Design System). We firstly evaluated the Patient Banner UI component for compliance with the two guidelines and then used HCI-modelling to evaluate the "Add New Patient" workflow to measure time to task completion and cognitive load. RESULTS: Combining the two guidelines to produce new UI elements is technically feasible for the Patient Banner and the Patient Name Input components. There are some inconsistencies between the NHS Design System and the NHS CUI when implementing the Patient Banner. HCI-modelling successfully quantified challenges adhering to the NHS CUI and the NHS Design system for the "Add New Patient" workflow. DISCUSSION: We successfully developed new design artefacts combing two major design guidelines for DHTs. By quantifying usability issues using HCI-modelling, we have demonstrated the feasibility of a methodology that combines HCI-modelling into a human-centred design (HCD) process could enable the development of standardised UI elements for DHTs that is more scientifically robust than HCD alone. CONCLUSION: Combining HCI-modelling and Human-Centred Design could improve scientific progress towards developing safer and more user-friendly DHTs.

Eight years into the horizon of aspirational maternal and newborn health pledges: a nationwide cross-sectional exploration of the Burundian EmONC network capacity and budget deficits.

OBJECTIVE: The Burundian emergency obstetric and neonatal care (EmONC) programme, which was initiated in 2017 and supported by a specific policy, does not appear to reverse maternal and newborn mortality trends. Our study examined the capacity challenges facing participating EmONC facilities and developed alternative investment proposals to improve their readiness paying particular attention to EmONC professionals, physical infrastructure, and capital equipment. DESIGN: Cross-sectional study. SETTING: Burundian EmONC facilities (n=112). PARTICIPANTS: We examined EmONC policy documents, consulted 12 maternal and newborn health experts and 23 stakeholders and policymakers, surveyed all EmONC facilities (n=112), and collected cost data from the Ministry of Health and local suppliers in Burundi. We developed three context-specific EmONC resource benchmark standards by facility type; the Burundian policy norms and the expert minimum and maximum suggested thresholds; and used these alternatives to estimate EmONC resource gaps. We forecasted three corresponding budget estimates needed to address prevailing deficits taking a government perspective for a 5-year EmONC investment strategy. Additionally, we explored relationships between EmONC professionals and selected measures of service delivery using bivariate analyses and graphically. RESULTS: The lowest EmONC resource benchmark revealed that 95% of basic EmONC and all comprehensive EmONC facilities lack corresponding sets of human resources and 90% of all facilities need additional physical infrastructure and capital equipment. Assessed against the highest benchmark which proposes the most progressive set of standards for the prevailing workloads, Burundi would require 162 more medical doctors, 1005 midwives and nurses, 132 delivery rooms, 191 delivery tables, 678 and 156 maternity and newborn care beds, and 395 incubators amounting to US$32.9 million additional budget for 5 years. CONCLUSION: We demonstrated that Burundian EmONC facilities face enormous capacity challenges equivalent to US$32.9 million funding gap for 5 years; averagely approximating to 5.96% total health budget increase annually.

Hypothermia amongst neonatal admissions in Kenya: a retrospective cohort study assessing prevalence, trends, associated factors, and its relationship with all-cause neonatal mortality.

Background: Reports on hypothermia from high-burden countries like Kenya amongst sick newborns often include few centers or relatively small sample sizes. Objectives: This study endeavored to describe: (i) the burden of hypothermia on admission across 21 newborn units in Kenya, (ii) any trend in prevalence of hypothermia over time, (iii) factors associated with hypothermia at admission, and (iv) hypothermia's association with inpatient neonatal mortality. Methods: A retrospective cohort study was conducted from January 2020 to March 2023, focusing on small and sick newborns admitted in 21 NBUs. The primary and secondary outcome measures were the prevalence of hypothermia at admission and mortality during the index admission, respectively. An ordinal logistic regression model was used to estimate the relationship between selected factors and the outcomes cold stress (36.0°C-36.4°C) and hypothermia (<36.0°C). Factors associated with neonatal mortality, including hypothermia defined as body temperature below 36.0°C, were also explored using logistic regression. Results: A total of 58,804 newborns from newborn units in 21 study hospitals were included in the analysis. Out of these, 47,999 (82%) had their admission temperature recorded and 8,391 (17.5%) had hypothermia. Hypothermia prevalence decreased over the study period while admission temperature documentation increased. Significant associations were found between low birthweight and very low (0-3) APGAR scores with hypothermia at admission. Odds of hypothermia reduced as ambient temperature and month of participation in the Clinical Information Network (a collaborative learning health platform for healthcare improvement) increased. Hypothermia at admission was associated with 35% (OR 1.35, 95% CI 1.22, 1.50) increase in odds of neonatal inpatient death. Conclusions: A substantial proportion of newborns are admitted with hypothermia, indicating a breakdown in warm chain protocols after birth and intra-hospital transport that increases odds of mortality. Urgent implementation of rigorous warm chain protocols, particularly for low-birth-weight babies, is crucial to protect these vulnerable newborns from the detrimental effects of hypothermia.

Effectiveness of a multi-country implementation-focused network on quality of care: Delivery of interventions and processes for improved maternal, newborn and child health outcomes.

The Network for Improving Quality of Care for Maternal, Newborn and Child Health (QCN) aims to work through learning, action, leadership and accountability. We aimed to evaluate the effectiveness of QCN in these four areas at the global level and in four QCN countries: Bangladesh, Ethiopia, Malawi and Uganda. This mixed method evaluation comprised 2-4 iterative rounds of data collection between 2019-2022, involving stakeholder interviews, hospital observations, QCN members survey, and document review. Qualitative data was analysed using a coding framework developed from underlying theories on network effectiveness, behaviour change, and QCN proposed theory of change. Survey data capturing respondents' perception of QCN was analysed with descriptive statistics. The QCN global level, led by the WHO secretariat, was effective in bringing together network countries' governments and global actors via providing online and in-person platforms for communication and learning. In-country, various interventions were delivered in 'learning districts', however often separately by different partners in different locations, and pandemic-disrupted. Governance structures for quality of care were set-up, some preceding QCN, and were found to be stronger and better (though often externally) resourced at national than local levels. Awareness of operational plans and network activities differed between countries, was lower at local than national levels, but increased from 2019 to 2022. Engagement with, and value of, QCN was perceived to be higher in Uganda and Bangladesh than in Malawi or Ethiopia. Capacity building efforts were implemented in all countries-yet often dependent on implementing partners and donors. QCN stakeholders agreed 15 core monitoring indicators though data collection was challenging, especially for indicators requiring new or parallel systems. Accountability initiatives remained nascent in 2022. Global and national leadership elements of QCN have been most effective to date, with action, learning and accountability more challenging, partner or donor dependent, remaining to be scaled-up, and pandemic-disrupted.

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.

First referral hospitals in low- and middle-income countries: the need for a renewed focus.

First referral hospitals (FRHs) are the hospitals closest to the community, which offer expertise or technologies to complement more widely available 'basic' ambulatory care or inpatient care. Despite having been a subject of interest in global health policy in the latter half of the 20th century, in more recent decades, they appear to have been overshadowed. This paper reviews what is understood by FRH, drawing on both academic and policy literature, complemented by specific country case studies. We undertook three reviews: a grey literature review of global and regional policy reports and documents, a structured review of the academic literature on FRH and a review of FRH-related policies in eight countries. Our findings indicate that there is confusion regarding the definitions and roles of FRH; they have fallen off the policy agenda globally and they suffer from lack of advocates in part related to the absence of cohesive definition. Meanwhile, these facilities continue to fulfil important functions in health systems in low- and middle-income countries, and expectations for service delivery remain high. In light of these findings, this paper calls for renewed interest and investment in FRH from the global health academic and policy-making community.

The role of medical support workers during the COVID-19 pandemic in the NHS in the UK: A qualitative service evaluation at the Oxford University Hospitals NHS Foundation Trust.

We conducted a service evaluation of the medical support worker (MSW) role at Oxford University Hospitals NHS Foundation Trust following the Coronavirus 2019 (COVID-19) pandemic. The aim was to explore the roles of MSWs, their contributions to the NHS, factors influencing their career choices, and the goals of the MSW position, to inform quality improvement in relation to their integration into the Trust. The perspectives of MSWs, their supervisors and recruiters were analysed through nine semi-structured interviews and two focus group discussions involving 18 participants. Results were categorised into micro-, meso-, and macro-levels of the health system. At the micro-level, MSWs were recognised as a diverse group of highly qualified international medical graduates (IMGs) who had a crucial role during the pandemic. At the meso-level, participants emphasised the importance of a comprehensive induction by the hospital, to clarify responsibilities and familiarise MSWs with the health system. At the macro-level, the role facilitated MSW integration within the NHS, with the aim of practising as doctors. The importance of comprehensive hospital induction, with role clarity for both MSWs and their teams, supportive supervision and assistance with applying for registration with the General Medical Council, were highlighted as key quality improvement areas.

Deconcentrating regulation in low- and middle-income country health systems: a proposed ambidextrous solution to problems with professional regulation for doctors and nurses in Kenya and Uganda.

BACKGROUND: Regulation can improve professional practice and patient care, but is often weakly implemented and enforced in health systems in low- and middle-income countries (LMICs). Taking a de-centred and frontline perspective, we examine national regulatory actors' and health professionals' views and experiences of health professional regulation in Kenya and Uganda and discuss how it might be improved in LMICs more generally. METHODS: We conducted large-scale research on professional regulation for doctors and nurses (including midwives) in Uganda and Kenya during 2019-2021. We interviewed 29 national regulatory stakeholders and 47 subnational regulatory actors, doctors, and nurses. We then ran a national survey of Kenyan and Ugandan doctors and nurses, which received 3466 responses. We thematically analysed qualitative data, conducted an exploratory factor analysis of survey data, and validated findings in four focus group discussions. RESULTS: Kenyan and Ugandan regulators were generally perceived as resource-constrained, remote, and out of touch with health professionals. This resulted in weak regulation that did little to prevent malpractice and inadequate professional education and training. However, interviewees were positive about online licencing and regulation where they had relationships with accessible regulators. Building on these positive findings, we propose an ambidextrous approach to improving regulation in LMIC health systems, which we term deconcentrating regulation. This involves developing online licencing and streamlining regulatory administration to make efficiency savings, freeing regulatory resources. These resources should then be used to develop connected subnational regulatory offices, enhance relations between regulators and health professionals, and address problems at local level. CONCLUSION: Professional regulation for doctors and nurses in Kenya and Uganda is generally perceived as weak. Yet these professionals are more positive about online licencing and regulation where they have relationships with regulators. Building on these positive findings, we propose deconcentrating regulation as a solution to regulatory problems in LMICs. However, we note resource, cultural and political barriers to its effective implementation.

Scoping review of interventions to improve continuity of postdischarge care for newborns in LMICs.

INTRODUCTION: Neonatal mortality remains significant in low-income and middle-income countries (LMICs) with in-hospital mortality rates similar to those following discharge from healthcare facilities. Care continuity interventions have been suggested as a way of reducing postdischarge mortality by better linking care between facilities and communities. This scoping review aims to map and describe interventions used in LMICs to improve care continuity for newborns after discharge and examine assumptions underpinning the design and delivery of continuity. METHODS: We searched seven databases (MEDLINE, CINAHL, Scopus, Web of Science, EMBASE, Cochrane library and (Ovid) Global health). Publications with primary data on interventions focused on continuity of care for newborns in LMICs were included. Extracted data included year of publication, study location, study design and type of intervention. Drawing on relevant theoretical frameworks and classifications, we assessed the extent to which interventions adopted participatory methods and how they attempted to establish continuity. RESULTS: A total of 65 papers were included in this review; 28 core articles with rich descriptions were prioritised for more in-depth analysis. Most articles adopted quantitative designs. Interventions focused on improving continuity and flow of information via education sessions led by community health workers during home visits. Extending previous frameworks, our findings highlight the importance of interpersonal continuity in LMICs where communication and relationships between family members, healthcare workers and members of the wider community play a vital role in creating support systems for postdischarge care. Only a small proportion of studies focused on high-risk babies. Some studies used participatory methods, although often without meaningful engagement in problem definition and intervention implementation. CONCLUSION: Efforts to reduce neonatal mortality and morbidity should draw across multiple continuity logics (informational, relational, interpersonal and managerial) to strengthen care after hospital discharge in LMIC settings and further focus on high-risk neonates, as they often have the worst outcomes.

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.

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.

Developing an understanding of networks with a focus on LMIC health systems: How and why clinical and programmatic networks form and function to be able to change practices: A realist review.

Networks are an increasingly employed approach to improve quality of care, service delivery, and health systems performance, particularly in low-and-middle income country (LMIC) health systems. The literature shows that networks can improve the provision and quality of services and health system functioning but there is limited evidence explaining how and why networks are established and work to achieve their reported results. We undertook a realist review to explore this. The objective of this realist review was to develop a programme theory outlining the underlying mechanisms and interactions of contexts that explain how and why a network's set-up and function enable high-quality care and services and improved clinical outcomes in LMIC health systems. We followed Pawson's five steps for realist reviews. The search strategy was based on a previously published scoping review with additional searches. Literature was selected based on its relevance to the programme theory and rigour. Context-mechanism-outcome configurations were developed from the extracted data to refine the initial programme theory with causal explanations. Theories on social movements and organisations supported the identification of mechanism and brought additional explanatory power to the programme theory. The programme theory explains how networks are initiated, formed, and function in a way that sets them up for network leadership and committed, engaged, and motivated network members to emerge and to change practices, which may lead to improved quality of care, service delivery, and clinical outcomes through the following phases: identify a problem, developing a collective vision, taking action to solve the problem, forming purposeful relationships, linkages, and partnerships, building a network identity and culture, and the creation of a psychological safe space. This deeper understanding of networks formation and functioning can lead to a more considered planning and implementation of networks, thereby improving health system functioning and performance.

Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis.

Multi-professional teams care for sick newborns, but nurses are the primary caregivers, making nursing care documentation essential for delivering high-quality care, fostering teamwork, and improving patient outcomes. We report on an evaluation of vital signs documentation following implementation of the comprehensive newborn monitoring chart using interrupted time series analysis and a review of filled charts. We collected post-admission vital signs (Temperature (T), Pulse (P), Respiratory Rate (R) and Oxygen Saturation (S)) documentation frequencies of 43,719 newborns with a length of stay > 48 hours from 19 public hospitals in Kenya between September 2019 and October 2021. The primary outcome was an ordinal categorical variable (no monitoring, monitoring 1 to 3 times, 4 to 7 times and 8 or more times) based on the number of complete sets of TPRS. Descriptive analyses explored documentation of at least one T, P, R and S. The percentage of patients in the no-monitoring category decreased from 68.5% to 43.5% in the post-intervention period for TPRS monitoring. The intervention increased the odds of being in a higher TPRS monitoring category by 4.8 times (p<0.001) and increased the odds of higher monitoring frequency for each vital sign, with S recording the highest odds. Sicker babies were likely to have vital signs documented in a higher monitoring category and being in the NEST360 program increased the odds of frequent vital signs documentation. However, by the end of the intervention period, nearly half of the newborns did not have a single full set of TPRS documented and there was heterogenous hospital performance. A review of 84 charts showed variable documentation, with only one chart being completed as designed. Vital signs documentation fell below standards despite increased documentation odds. More sustained interventions are required to realise the benefits of the chart and hospital-specific performance data may help customise interventions.

'We were treated like we are nobody': a mixed-methods study of medical doctors' internship experiences in Kenya and Uganda.

OBJECTIVE: Medical interns are an important workforce providing first-line healthcare services in hospitals. The internship year is important for doctors as they transition from theoretical learning with minimal hands-on work under supervision to clinical practice roles with considerable responsibility. However, this transition is considered stressful and commonly leads to burn-out due to challenging working conditions and an ongoing need for learning and assessment, which is worse in countries with resource constraints. In this study, we provide an overview of medical doctors' internship experiences in Kenya and Uganda. METHODS: Using a convergent mixed-methods approach, we collected data from a survey of 854 medical interns and junior doctors and semistructured interviews with 54 junior doctors and 14 consultants. Data collection and analysis were guided by major themes identified from a previous global scoping review (well-being, educational environment and working environment and condition), using descriptive analysis and thematic analysis respectively for quantitative and qualitative data. FINDINGS: Most medical interns are satisfied with their job but many reported suffering from stress, depression and burn-out, and working unreasonable hours due to staff shortages. They are also being affected by the challenging working environment characterised by a lack of adequate resources and a poor safety climate. Although the survey data suggested that most interns were satisfied with the supervision received, interviews revealed nuances where many interns faced challenging scenarios, for example, poor supervision, insufficient support due to consultants not being available or being 'treated like we are nobody'. CONCLUSION: We highlight challenges experienced by Kenyan and Ugandan medical interns spanning from burn-out, stress, challenging working environment, inadequate support and poor quality of supervision. We recommend that regulators, educators and hospital administrators should improve the resource availability and capacity of internship hospitals, prioritise individual doctors' well-being and provide standardised supervision, support systems and conducive learning environments.