Understanding the implications of the Sustainable Development Goals for health policy and systems research: results of a research priority setting exercise.

BACKGROUND: Given the paradigmatic shift represented by the Sustainable Development Goals (SDGs) as compared to the Millennium Development Goals - in particular their broad and interconnected nature - a new set of health policy and systems research (HPSR) priorities are needed to inform strategies to address these interconnected goals. OBJECTIVES: To identify high priority HPSR questions linked to the achievement of the Sustainable Development Goals. METHODS: We focused on three themes that we considered to be central to achieving the health related SDGs: (i) Protecting and promoting access to health services through systems of social protection (ii) Strengthening multisectoral collaborations for health and (iii) Developing more participatory and accountable institutions. We conducted 54 semi-structured interviews and two focus group discussions to investigate policy-maker perspectives on evidence needs. We also conducted an overview of literature reviews in each theme. Information from these sub-studies was extracted into a matrix of possible research questions and developed into three domain-specific lists of 30-36 potential priority questions. Topic experts from the global research community then refined and ranked the proposed questions through an online platform. A final webinar on each theme sought feedback on findings. RESULTS: Policy-makers continue to demand HPSR for many well-established issues such as health financing, human resources for health, and service delivery. In terms of service delivery, policy-makers wanted to know how best to strengthen primary health care and community-based systems. In the themes of social protection and multisectoral collaboration, prioritized questions had a strong emphasis on issues of practical implementation. For participatory and accountable institutions, the two priority questions focused on political factors affecting the adoption of accountability measures, as well as health worker reactions to such measures. CONCLUSIONS: To achieve the SDGs, there is a continuing need for research in some already well established areas of HPSR as well as key areas highlighted by decision-makers. Identifying appropriate conceptual frameworks as well as typologies of examples may be a prerequisite for answering some of the substantive policymaker questions. In addition, implementation research engaging non-traditional stakeholders outside of the health sector will be critical.

Evaluating the Health Impact of Large-Scale Public Policy Changes: Classical and Novel Approaches.

Large-scale public policy changes are often recommended to improve public health. Despite varying widely-from tobacco taxes to poverty-relief programs-such policies present a common dilemma to public health researchers: how to evaluate their health effects when randomized controlled trials are not possible. Here, we review the state of knowledge and experience of public health researchers who rigorously evaluate the health consequences of large-scale public policy changes. We organize our discussion by detailing approaches to address three common challenges of conducting policy evaluations: distinguishing a policy effect from time trends in health outcomes or preexisting differences between policy-affected and -unaffected communities (using difference-in-differences approaches); constructing a comparison population when a policy affects a population for whom a well-matched comparator is not immediately available (using propensity score or synthetic control approaches); and addressing unobserved confounders by utilizing quasi-random variations in policy exposure (using regression discontinuity, instrumental variables, or near-far matching approaches).

When a Toolkit Is Not Enough: A Review on What Is Needed to Promote the Use and Uptake of Immunization-Related Resources.

INTRODUCTION: Evidence-based resources, including toolkits, guidance, and capacity-building materials, are used by routine immunization programs to achieve critical global immunization targets. These resources can help spread information, change or improve behaviors, or build capacity based on the latest evidence and experience. Yet, practitioners have indicated that implementation of these resources can be challenging, limiting their uptake and use. It is important to identify factors that support the uptake and use of immunization-related resources to improve resource implementation and, thus, adherence to evidence-based practices. METHODS: A targeted narrative review and synthesis and key informant interviews were conducted to identify practice-based learning, including the characteristics and factors that promote uptake and use of immunization-related resources in low- and middle-income countries and practical strategies to evaluate existing resources and promote resource use. RESULTS: Fifteen characteristics or factors to consider when designing, choosing, or implementing a resource were identified through the narrative review and interviews. Characteristics of the resource associated with improved uptake and use include ease of use, value-added, effectiveness, and adaptability. Factors that may support resource implementation include training, buy-in, messaging and communication, human resources, funding, infrastructure, team culture, leadership support, data systems, political commitment, and partnerships. CONCLUSION: Toolkits and guidance play an important role in supporting the goals of routine immunization programs, but the development and dissemination of a resource are not sufficient to ensure its implementation. The findings reflect early work to identify the characteristics and factors needed to promote the uptake and use of immunization-related resources and can be considered a starting point for efforts to improve resource use and design resources to support implementation.

Enhancing COVID-19 Vaccine Uptake among Tribal Communities: A Case Study on Program Implementation Experiences from Jharkhand and Chhattisgarh States, India.

Tribal populations in India have health care challenges marked by limited access due to geographical distance, historical isolation, cultural differences, and low social stratification, and that result in weaker health indicators compared to the general population. During the pandemic, Tribal districts consistently reported lower COVID-19 vaccination coverage than non-Tribal districts. We assessed the MOMENTUM Routine Immunization Transformation and Equity (the project) strategy, which aimed to increase access to and uptake of COVID-19 vaccines among Tribal populations in Chhattisgarh and Jharkhand using the reach, effectiveness, adoption, implementation, and maintenance framework. We designed a qualitative explanatory case study and conducted 90 focus group discussions and in-depth interviews with Tribal populations, community-based nongovernmental organizations that worked with district health authorities to implement the interventions, and other stakeholders such as government and community groups. The active involvement of community leaders, targeted counseling, community gatherings, and door-to-door visits appeared to increase vaccine awareness and assuage concerns about its safety and efficacy. Key adaptations such as conducting evening vaccine awareness activities, holding vaccine sessions at flexible times and sites, and modifying messaging for booster doses appeared to encourage vaccine uptake among Tribal populations. While we used project resources to mitigate financial and supply constraints where they arose, sustaining long-term uptake of project interventions appears dependent on continued funding and ongoing political support.

The epidemiology of behavioral risk factors for noncommunicable disease and hypertension: A cross-sectional study from Eastern Uganda.

In light of the suboptimal noncommunicable disease (NCD) risk factor surveillance efforts, the study's main objectives were to: (i) characterize the epidemiological profile of NCD risk factors; (ii) estimate the prevalence of hypertension; and (iii) identify factors associated with hypertension in a peri-urban and rural Ugandan population. A population-based cross-sectional survey of adults was conducted at the Iganga-Mayuge Health and Demographic Surveillance System site in eastern Uganda. After describing sociodemographic characteristics, the prevalence of NCD risk factors and hypertension was reported. Prevalence ratios for NCD risk factors were calculated using weighted Poisson regression to identify factors associated with hypertension. Among 3220 surveyed respondents (mean age: 35.3 years (standard error: 0.1), 49.4% males), 4.4% were current tobacco users, 7.7% were current drinkers, 98.5% had low fruit and vegetable consumption, 26.9% were overweight, and 9.3% were obese. There was a high prevalence of hypertension and prehypertension, at 17.1% and 48.8%, respectively. Among hypertensive people, most had uncontrolled hypertension, at 97.4%. When we examined associated factors, older age (adjusted prevalence ratio (APR): 3.1, 95% CI: 2.2-4.4, APR: 5.2, 95% CI: 3.7-7.3, APR: 8.9, 95% CI: 6.4-12.5 among 30-44, 45-59, and 60+-year-old people than 18-29-year-olds), alcohol drinking (APR: 1.6, 95% CI: 1.3-2.0, ref: no), always adding salt during eating (APR: 1.6, 95% CI: 1.1-2.2, ref: no), poor physical activity (APR: 1.3, 95% CI: 1.1-1.6, ref: no), overweight (APR: 1.3, 95% CI: 1.1-1.5, ref: normal weight), and obesity (APR: 2.0, 95% CI: 1.6-2.4, ref: normal weight) had higher prevalence of hypertension than their counterparts. The high prevalence of NCD risk factors highlights the immediate need to implement and scale-up population-level strategies to increase awareness about leading NCD risk factors in Uganda. These strategies should be accompanied by concomitant investment in building health systems capacity to manage and control NCDs.

Geographical, sex, and socioeconomic differences in non-communicable disease indicators: A cross-sectional survey in Eastern Uganda.

The prevalence of non-communicable diseases (NCDs) is increasing in many low- and middle-income countries (LMICs). This study examined differences in the burden of NCDs and their risk factors according to geographic, sex, and sociodemographic characteristics in a rural and peri-urban community in Eastern Uganda. We compared the prevalence by sex, location, wealth, and education. Unadjusted and adjusted prevalence ratios (PR) were reported. Indicators related to tobacco use, alcohol use, salt consumption, fruit/vegetable consumption, physical activity, body weight, and blood pressure were assessed. Among 3220 people (53.3% males, mean age: 35.3 years), the prevalence of NCD burden differed by sex. Men had significantly higher tobacco (e.g., current smoking: 7.6% vs. 0.7%, adjusted PR (APR): 12.8, 95% CI: 7.4-22.3), alcohol use (e.g., current drinker: 11.1% vs. 4.6%, APR: 13.4, 95% CI: 7.9-22.7), and eat processed food high in salt (13.4% vs. 7.1, APR: 1.8, 95% CI: 1.8, 95% CI: 1.4-2.4) than women; however, the prevalence of overweight (23.1% vs 30.7%, APR: 0.7, 95% CI: 0.6-0.9) and obesity (4.1% vs 14.7%, APR: 0.3, 95% CI: 0.2-0.3) was lower among men than women. Comparing locations, peri-urban residents had a higher prevalence of current alcohol drinking, heavy episodic drinking, always/often adding salt while cooking, always eating processed foods high in salt, poor physical activity, obesity, prehypertension, and hypertension than rural residents (p<0.5). When comparing respondents by wealth and education, we found people who have higher wealth or education had a higher prevalence of always/often adding salt while cooking, poor physical activity, and obesity. Although the findings were inconsistent, we observed significant sociodemographic and socioeconomic differences in the burden of many NCDs, including differences in the distributions of behavioral risk factors. Considering the high burden of many risk factors, we recommend appropriate prevention programs and policies to reduce these risk factors' burden and future negative consequences.

Understanding reasons for and strategic responses to administrative health data misreporting in an Indian state.

The misreporting of administrative health data creates an inequitable distribution of scarce health resources and weakens transparency and accountability within health systems. In the mid-2010s, an Indian state introduced a district ranking system to monitor the monthly performance of health programmes alongside a set of data quality initiatives. However, questions remain about the role of data manipulation in compromising the accuracy of data available for decision-making. We used qualitative approaches to examine the opportunities, pressures and rationalization of potential data manipulation. Using purposive sampling, we interviewed 48 district-level respondents from high-, middle- and low-ranked districts and 35 division- and state-level officials, all of whom had data-related or programme monitoring responsibilities. Additionally, we observed 14 district-level meetings where administrative data were reviewed. District respondents reported that the quality of administrative data was sometimes compromised to achieve top district rankings. The pressure to exaggerate progress was a symptom of the broader system for assessing health performance that was often viewed as punitive and where district- and state-level superiors were viewed as having limited ability to ensure accountability for data quality. However, district respondents described being held accountable for results despite lacking the adequate capacity to deliver on them. Many rationalized data manipulation to cope with high pressures, to safeguard their jobs and, in some cases, for personal financial gain. Moreover, because data manipulation was viewed as a socially acceptable practice, ethical arguments against it were less effective. Potential entry points to mitigate data manipulation include (1) changing the incentive structures to place equal emphasis on the quality of data informing the performance data (e.g. district rankings), (2) strengthening checks and balances to reinforce the integrity of data-related processes within districts and (3) implementing policies to make data manipulation an unacceptable anomaly rather than a norm.

Effect of the Data Collection Method on Mobile Phone Survey Participation in Bangladesh and Tanzania: Secondary Analyses of a Randomized Crossover Trial.

BACKGROUND: Mobile phone surveys provide a novel opportunity to collect population-based estimates of public health risk factors; however, nonresponse and low participation challenge the goal of collecting unbiased survey estimates. OBJECTIVE: This study compares the performance of computer-assisted telephone interview (CATI) and interactive voice response (IVR) survey modalities for noncommunicable disease risk factors in Bangladesh and Tanzania. METHODS: This study used secondary data from a randomized crossover trial. Between June 2017 and August 2017, study participants were identified using the random digit dialing method. Mobile phone numbers were randomly allocated to either a CATI or IVR survey. The analysis examined survey completion, contact, response, refusal, and cooperation rates of those who received the CATI and IVR surveys. Differences in survey outcomes between modes were assessed using multilevel, multivariable logistic regression models to adjust for confounding covariates. These analyses were adjusted for clustering effects by mobile network providers. RESULTS: For the CATI surveys, 7044 and 4399 phone numbers were contacted in Bangladesh and Tanzania, respectively, and 60,863 and 51,685 phone numbers, respectively, were contacted for the IVR survey. The total numbers of completed interviews in Bangladesh were 949 for CATI and 1026 for IVR and in Tanzania were 447 for CATI and 801 for IVR. Response rates for CATI were 5.4% (377/7044) in Bangladesh and 8.6% (376/4391) in Tanzania; response rates for IVR were 0.8% (498/60,377) in Bangladesh and 1.1% (586/51,483) in Tanzania. The distribution of the survey population was significantly different from the census distribution. In both countries, IVR respondents were younger, were predominantly male, and had higher education levels than CATI respondents. IVR respondents had a lower response rate than CATI respondents in Bangladesh (adjusted odds ratio [AOR]=0.73, 95% CI 0.54-0.99) and Tanzania (AOR=0.32, 95% CI 0.16-0.60). The cooperation rate was also lower with IVR than with CATI in Bangladesh (AOR=0.12, 95% CI 0.07-0.20) and Tanzania (AOR=0.28, 95% CI 0.14-0.56). Both in Bangladesh (AOR=0.33, 95% CI 0.25-0.43) and Tanzania (AOR=0.09, 95% CI 0.06-0.14), there were fewer completed interviews with IVR than with CATI; however, there were more partial interviews with IVR than with CATI in both countries. CONCLUSIONS: There were lower completion, response, and cooperation rates with IVR than with CATI in both countries. This finding suggests that, to increase representativeness in certain settings, a selective approach may be needed to design and deploy mobile phone surveys to increase population representativeness. Overall, CATI surveys may offer a promising approach for surveying potentially under-represented groups like women, rural residents, and participants with lower levels of education in some countries.

Public sector engagement of private healthcare providers during the COVID-19 pandemic in Uttar Pradesh, India.

The COVID-19 pandemic has strained public health resources and overwhelmed health systems capacity of countries worldwide. In India, the private sector is a significant source of healthcare particularly in large states like Uttar Pradesh (UP). This study sought to examine: (i) the government's approach to engaging the private health sector in the COVID-19 response in UP; (ii) the effects of government's engagement on private providers' practices and (iii) the barriers and facilitators to effective private sector engagement during the period. While the literature acknowledges weaknesses in private sector engagement during emergencies, our study provides deep empirical insight into how this occurs, drawing on the UP experience. We reviewed 102 Government of UP (GOUP) policy documents and conducted 36 in-depth interviews with government officials, technical partners, and private providers at district- and state-levels. We developed timelines for policy change based on the policy review and analyzed interview transcripts thematically using a framework analysis. We found that GOUP's engagement of the private sector and private providers' experiences varied substantially. While the government rapidly engaged and mobilized private laboratories, and enlisted private hospitals to provide COVID-19 services, it undertook only limited engagement of solo private providers who largely acted as referral units for suspected cases and reported data to support contact tracing efforts. Informal private providers played no formal role in the COVID-19 response, but in one district supported community-level contact tracing. Allopathic, alternative medicine, and diagnostic private providers faced common barriers and facilitators affecting their engagement relating to provider fear, communication, testing capacity, case reporting, and regulations. The establishment of mixed diagnostic networks during COVID-19 demonstrates the potential for public-private collaboration, however, our study also reveals missed opportunities to engage smaller-scale private health providers and establish mechanisms to effectively communicate and mobilize them during the pandemic, and beyond.

Schooling amidst a pandemic in the United States: Parents' perceptions about reopening schools and anticipated challenges during COVID-19.

INTRODUCTION: During the COVID-19 pandemic, numerous states in the United States instituted measures to close schools or shift them to virtual platforms. Understanding parents' preferences for sending their children back to school, and their experiences with distance learning is critical for informing school reopening guidelines. This study characterizes parents' plans to return their children to school, and examines the challenges associated with school closures during the 2020-2021 academic year. METHODS: A national-level cross-sectional online survey was conducted in September 2020. Focusing on a subset of 510 respondents, who were parents of school-aged children, we examined variations in parents' plans for their children to return to school by their demographic and family characteristics, and challenges they anticipated during the school-year using multivariable logistic regressions. RESULTS: Fifty percent of respondents (n = 249) said that they would send their children back to school, 18% (n = 92) stated it would depend on what the district plans for school reopening, and 32% (n = 160) would not send their children back to school. No demographic characteristics were significantly associated with parents plans to not return their children to school. Overall, parents reported high-level of access to digital technology to support their child's learning needs (84%). However, those who reported challenges with distance learning due to a lack of childcare were less likely to not return their children to school (aOR = 0.33, 95% CI: 0.17, 0.64). Parents who reported requiring supervision after school had higher odds of having plans to not return their children to school (aOR = 1.97, 95% CI: 1.03, 3.79). Parents viewed COVID-19 vaccines and face-masks important for resuming in-person classes. DISCUSSION: About one-third of parents objected to their children returning to school despite facing challenges with distance learning. Besides access to vaccines and face-masks, our findings highlight the need to better equip parents to support remote learning, and childcare.

Optimizing the Health Management Information System in Uttar Pradesh, India: Implementation Insights and Key Learnings.

An effective health management information system (HMIS) that captures accurate, consistent, and relevant data in a timely fashion can enable better planning and monitoring of health programs and improved service delivery, in turn helping increase the impact of different interventions. In 2009, the Government of Uttar Pradesh (GOUP) implemented HMIS, India's national-level health information platform. However, key challenges, including difficulties in accessing the data through a web-based portal and its limited relevance to decision making and managerial needs, reduced its usability at the district and state levels. In 2015, with the support of the Uttar Pradesh Technical Support Unit, the GOUP created its own data platform, the Uttar Pradesh HMIS (UP-HMIS), to capture data elements missing from HMIS but important to UP decision makers. The UP-HMIS was redesigned to capture these data elements to holistically measure and monitor the performance of health programs and inform decision making at the district and state levels. In addition, the GOUP implemented complementary initiatives to improve data quality and data use processes. To improve HMIS data quality, the GOUP established data validation committee meetings at the block, district, and state levels. To promote the use of these validated data, in 2017, the GOUP developed and implemented the UP Health Dashboard, which ranks each of UP's 75 districts on a set of key HMIS priority health indicators. These policy guidelines have brought greater attention to UP-HMIS data quality and use; however, additional strengthening is required to improve the quality and use of HMIS data. There is a need to increase the overall capacity and understanding of HMIS data, not only for staff with specific data-related responsibilities but also for program managers and senior decision makers.

Curbing the Rise of Noncommunicable Diseases in Uganda: Perspectives of Policy Actors.

BACKGROUND: Uganda faces a complex policy landscape as it simultaneously addresses infectious diseases and noncommunicable diseases (NCDs). The health system has been overwhelmed by the growing burden of NCDs across all socioeconomic strata. In this study, we sought to understand the policy context around NCDs in Uganda, the roles of actors both within and external to the government, and the factors shaping the development and implementation of NCD policies and programs in Uganda. METHODS: We conducted in-depth interviews with 30 policy actors from the Ugandan Ministry of Health (MOH), nongovernmental organizations, and academia to understand the roles of different actors in the Ugandan NCD space, the programs and policy measures in discussion, and how to bridge any identified gaps. A thematic data analysis was conducted. RESULTS: All national actors viewed funding constraints as a critical barrier to developing and executing an NCD strategic plan and as a barrier to leading and coordinating NCD prevention and control efforts in Uganda. The crowding of nongovernment actors was found to fragment NCD efforts, particularly due to the weak implementation of a framework for action among NCD actors. Relatedly, limited recruitment of technical experts on NCDs within the MOH was viewed to further diminish the government's role in leading policy and program formulation and implementation. Though recent MOH efforts have aimed at addressing these concerns, some skepticism remains about the government's commitment to increase budgetary allocations for NCDs and to address the technical and human resources gaps needed to achieve NCD policy aims in Uganda. CONCLUSIONS: This study highlights the immediate need to mobilize more resources, reduce fragmented efforts in the NCD space, and prioritize investment in NCD prevention and management in Uganda.

Selfie consents, remote rapport, and Zoom debriefings: collecting qualitative data amid a pandemic in four resource-constrained settings.

In-person interactions have traditionally been the gold standard for qualitative data collection. The COVID-19 pandemic required researchers to consider if remote data collection can meet research objectives, while retaining the same level of data quality and participant protections. We use four case studies from the Philippines, Zambia, India and Uganda to assess the challenges and opportunities of remote data collection during COVID-19. We present lessons learned that may inform practice in similar settings, as well as reflections for the field of qualitative inquiry in the post-COVID-19 era. Key challenges and strategies to overcome them included the need for adapted researcher training in the use of technologies and consent procedures, preparation for abbreviated interviews due to connectivity concerns, and the adoption of regular researcher debriefings. Participant outreach to allay suspicions ranged from communicating study information through multiple channels to highlighting associations with local institutions to boost credibility. Interviews were largely successful, and contained a meaningful level of depth, nuance and conviction that allowed teams to meet study objectives. Rapport still benefitted from conventional interviewer skills, including attentiveness and fluency with interview guides. While differently abled populations may encounter different barriers, the included case studies, which varied in geography and aims, all experienced more rapid recruitment and robust enrollment. Reduced in-person travel lowered interview costs and increased participation among groups who may not have otherwise attended. In our view, remote data collection is not a replacement for in-person endeavours, but a highly beneficial complement. It may increase accessibility and equity in participant contributions and lower costs, while maintaining rich data collection in multiple study target populations and settings.

Situational assessment of adult vaccine preventable disease and the potential for immunization advocacy and policy in low- and middle-income countries.

By 2050, the number of adults over 65 years of age will be double the under-5 population, and heavily concentrated in low- and middle-income countries. Population growth and increasing life expectancies call for effective healthy aging strategies inclusive of immunization to reduce the burden of vaccine-preventable diseases, improve quality of life, and mitigate antimicrobial resistance. Based on a review of available literature on the pneumococcal disease, influenza, and herpes zoster epidemiology and economic burden, and the health systems and policy barriers for adult immunization, we identified evidence gaps and considerations for prioritizing adult immunization. The body of evidence for adult immunization and the health and economic burden of adult disease is heavily concentrated in high-income countries. The few countries reporting adult immunization policies generally focus on high-risk groups. Despite robust child immunization programs in most countries, adult immunization programs and policies lag far behind and there is a general lack of appropriate delivery platforms. Global adult disease burden and economic costs are substantial but evidence from low- and middle-income countries is limited. There is a need for a strengthened evidence base and political commitment to drive a comprehensive, global technical consensus on adult immunization.

Examining policy intentions and actual implementation practices: How organizational factors influence health management information systems in Uttar Pradesh, India.

This study investigates the implementation of a recent health management information systems (HMIS) policy reform in Uttar Pradesh, India, which aims to improve the quality and use of HMIS data in decision-making. Through in-depth interviews, meeting observations and a policy document review, this study sought to capture the experiences of district-level staff (street-level bureaucrats) who were responsible for HMIS policy implementation. Findings revealed that issues of weak HMIS implementation were partly due to human resources shortages both in number and technical skill. Delays in recruitment and the presence of inactive staff overburdened existing staff and weakened the implementation of HMIS activities at the block- and district-levels. District staff also explained how inadequate computer literacy and limited technical understanding further contributed to low HMIS data quality. The organizational culture was even more constraining: working within a very rigid and hierarchical organization was challenging for district data staff, who were expected to manage day-to-day HMIS activities, but lacked the discretion and authority to do so effectively. Consequently, they had to escalate minor issues to district leadership for action and were expected to follow their supervisors' directives- even if they contradicted HMIS policy guidelines. High performance pressures associated with achieving top district rankings deviated focus away from HMIS data quality issues. Many district-level respondents described their superiors' "fixation" with becoming a top-ranking district often resulted in disregard for the quality of data informing district rankings. Furthermore, the review of district rankings only partially encouraged district-level leadership to investigate reasons for low-performing indicators. Instead, low district rankings often resulted in punitive action. The study recommends the importance of incorporating the perspectives of district staff, and recognizing their discretion, and authority when designing policy implementation processes, and finally concludes with potential strategies for strengthening the current HMIS policy reform.

Should performance-based incentives be used to motivate health care providers? Views of health sector managers in Cambodia, China and Pakistan.

This study qualitatively investigates what factors apart from or in addition to financial incentives can encourage better performance of frontline health care providers. We interviewed health sector managers in Pakistan, Cambodia and China, and they highlighted many potential limitations in the applicability of financial incentives in their contexts. There was a consistent view that providers are not always primarily driven by monetary rewards and that non-monetary rewards - such as recognition from direct supervisors and career development - could have a greater influence on performance. Managers also highlighted several challenges related to the design and implementation of performance management schemes: supervisors may not have performance information necessary to determine which agents to reward; when performance information is available, organisational culture may value other attributes such as social ties or years of experience; finally, concentration of power at higher levels of the health system can reduce supervisors' ability to manage performance, rewards and accountability. Although health sector managers were enthusiastic about measures to improve performance of providers, our study indicated that specific social, cultural and health system factors may mean that non-monetary rewards and structural changes to support a more transparent and meritocratic working environment should also be considered.

Identifying health policy and systems research priorities on multisectoral collaboration for health in low-income and middle-income countries.

INTRODUCTION: While efforts to achieve Universal Health Coverage (UHC) and the Sustainable Development Goals (SDGs) have reinvigorated interest in multisectoral collaborations (MSCs) among the global health and development community, there remains a plethora of questions about how best to conceptualise, plan, implement, evaluate and sustain MSCs. The objective of this paper is to present research priorities on MSC for health from researchers and policymakers around the globe, with an emphasis on low-income and middle-income countries. METHODS: The authors identified 30 priority research questions from two sources: (1) 38 review articles on MSC for health, and (2) interviews and focus groups with a total of 81 policymakers, including government officials (largely from ministries of health and state/provincial departments of health, but also offices of planning, public service, social development, the prime minister and others), large multilateral or bilateral organisations, and non-governmental organisations. In a third phase, questions were refined and ranked by a diverse group of researchers from around the globe using an online voting platform. RESULTS: The top-ranked questions focused predominantly on pragmatic questions, such as how best to structure, implement and sustain MSCs, as well as how to build stakeholder capacity and community partnerships. Despite substantial variation between review articles, policymakers' reflections and online ranking by researchers, two topics emerged as research priorities for all three: (1) leadership, partnership and governance structures for MSCs; and (2) MSC implementation strategies and mechanisms. The review articles underscored the need for more guidance on appropriate study designs and methods for investigating MSCs, which may be a prerequisite for other identified research priorities. CONCLUSION: These findings could inform efforts within and beyond the health sector to better align research objectives and funding with the evidence needs of policymakers grappling with questions about how best to leverage MSCs to achieve UHC and the SDGs.

How do external donors influence national health policy processes? Experiences of domestic policy actors in Cambodia and Pakistan.

Although concerns have historically been raised about the influence of external donors on health policy process in recipient countries, remarkably few studies have investigated perspectives and experiences of domestic policymakers and advisers. This study examines donor influence at different stages of the health policy process (priority setting, policy formulation, policy implementation and monitoring and evaluation) in two aid-dependent LMICs, Cambodia and Pakistan. It identifies mechanisms through which asymmetries in influence between donors and domestic policy actors emerge. We conducted 24 key informant interviews-14 in Pakistan and 10 in Cambodia-with high-level decision-makers who inform or authorize health priority setting, allocate resources and/or are responsible for policy implementation, identifying three routes of influence: financial resources, technical expertise and indirect financial and political incentives. We used both inductive and deductive approaches to analyse the data. Our findings indicate that different routes of influence emerged depending on the stage of the policy process. Control of financial resources was the most commonly identified route by which donors influenced priority setting and policy implementation. Greater (perceived) technical expertise played an important role in donor influence at the policy formulation stage. Donors' power in influencing decisions, particularly during the final (monitoring and evaluation) stage of the policy process, was mediated by their ability to control indirect financial and political incentives as well as direct control of financial resources. This study thus helps unpack the nuances of donor influence over health policymaking in these settings, and can potentially indicate areas that require attention to increase the ownership of domestic actors of their countries' health policy processes.

Use of the live attenuated Japanese Encephalitis vaccine SA 14-14-2 in children: A review of safety and tolerability studies.

Japanese encephalitis (JE) is the leading cause of viral neurological disease and disability in Asia. Some 50-80% of children with clinical JE die or have long-term neurologic sequelae. Since there is no cure, human vaccination is the only effective long-term control measure, and the World Health Organization recommends that at-risk populations receive a safe and effective vaccine. Four different types of JE vaccines are currently available: inactivated mouse brain-derived vaccines, inactivated Vero cell vaccines, live attenuated SA 14-14-2 vaccines and a live recombinant (chimeric) vaccine. With the rapidly increasing demand for and availability and use of JE vaccines, countries face an important decision in the selection of a JE vaccine. This article provides a comprehensive review of the available safety literature for the live attenuated SA 14-14-2 JE vaccine (LAJEV), the most widely used new generation JE vaccine. With well-established effectiveness data, a single dose of LAJEV protects against clinical JE disease for at least 5 years, providing a long duration of protection compared with inactivated mouse brain-derived vaccines. Since 1988, about 700 million doses of the LAJEV have been distributed globally. Our review found that LAJEV is well tolerated across a wide age range and can safely be given to children as young as 8 months of age. While serious adverse events attributable to LAJEV have been reported, independent experts have not found sufficient evidence for causality based on the available data.