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.

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).

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.

Background Annual influenza vaccination is recommended for all persons ≥6 months. The objective of this study is to assess trends in racial/ethnic disparities in influenza vaccination coverage among adults in the United States. Methods We analyzed data from the 2007-2012 National Health Interview Survey (NHIS) and Behavioral Risk Factor Surveillance System (BRFSS) using the Kaplan-Meier survival analysis procedure to assess influenza vaccination coverage by age, presence of medical conditions, and racial/ethnic groups during the 2007-08 through 2011-12 seasons. Results During the 2011-12 season, influenza vaccination coverage was significantly lower among non-Hispanic blacks and Hispanics compared with non-Hispanic whites among most of the adult sub-groups, with smaller disparities observed for adults 18-49 years compared to other age groups. Vaccination coverage for non-Hispanic white, non-Hispanic black, and Hispanic adults increased significantly from the 2007-08 through the 2011-12 season for most of the adult sub-groups based on NHIS (test for trend: p<0.05). Coverage gaps between racial/ethnic minorities and non-Hispanic white persisted at similar levels from the 2007-08 through the 2011-12 season, with similar results from NHIS and BRFSS. Conclusions Influenza vaccination coverage among most racial/ethnic groups increased from the 2007-08 through the 2011-12 seasons, but substantial racial and ethnic disparities remained in most age groups. Targeted efforts are needed to improve coverage and reduce disparities.