Understanding China's shifting priorities and priority-setting processes in development assistance for health.

Over the past two decades, China has become a distinctive and increasingly important donor of development assistance for health (DAH). However, little is known about what factors influence China's priority-setting for DAH. In this study, we provide an updated analysis of trends in the priorities of Chinese DAH and compare them to comparable trends among OECD Development Assistance Committee (DAC) donors using data from the AidData's Global Chinese Development Finance Dataset (2000-2017, version 2.0) and the Creditor Reporting System (CRS) database (2000-2017). We also analyse Chinese medical aid exports before and after the start of the COVID-19 pandemic using a Chinese Aid Exports Database. We further explore the potential factors influencing China's shifting priority-setting processes by reviewing Chinese official documents following Walt and Gilson's policy analysis framework (context-actors-process-content) and by testing our conjectures empirically. We find that China has become an important DAH donor to most regions if measured using project value, including but not limited to Africa. China has prioritized aid to African and Asian countries as well as to CRS subsectors that are not prioritized by DAC donors, such as medical services and basic health infrastructure. Chinese quarterly medical aid exports almost quintupled after the start of the COVID-19 pandemic. Noticeably, China has allocated more attention to Asia, eye diseases and infectious disease outbreaks over time. In contrast, the priority given to malaria has declined over the same period. Regarding factors affecting priority shifts, the outbreaks of SARS and Ebola, the launch of the Belt and Road Initiative and the COVID-19 pandemic appear to be important milestones in the timeline of Chinese DAH. Unlike stereotypes of China as a 'lone wolf' donor, our analysis suggests multilateral processes are influential in informing and setting Chinese DAH priorities.

Effectiveness of international border control measures during the COVID-19 pandemic: a narrative synthesis of published systematic reviews.

The effectiveness of international border control measures during the COVID-19 pandemic is not well understood. Using a narrative synthesis approach to published systematic reviews, we synthesized the evidence from both modelling and observational studies on the effects of border control measures on domestic transmission of the virus. We find that symptomatic screening measures were not particularly effective, but that diagnostic-based screening methods were more effective at identifying infected travellers. Targeted travel restrictions levied against travellers from Wuhan were likely temporarily effective but insufficient to stop the exportation of the virus to the rest of the world. Quarantine of inbound travellers was also likely effective at reducing transmission, but only with relatively long quarantine periods, and came with important economic and social effects. There is little evidence that most travel restrictions, including border closure and those implemented to stop the introduction of new variants of concern, were particularly effective. Border control measures played an important role in former elimination locations but only when coupled with strong domestic public health measures. In future outbreaks, if border control measures are to be adopted, they should be seen as part of a broader strategy that includes other non-pharmaceutical interventions. This article is part of the theme issue 'The effectiveness of non-pharmaceutical interventions on the COVID-19 pandemic: the evidence'.

An analysis of WHO's Temporary Recommendations on international travel and trade measures during Public Health Emergencies of International Concern.

During Public Health Emergencies of International Concern (PHEICs), The International Health Regulations (IHR) require the WHO to issue Temporary Recommendations on the use of international travel and trade measures. During the COVID-19 pandemic, WHO's initial recommendation against 'any travel or trade restriction' has been questioned, and virtually all countries subsequently used international travel measures. WHO's Recommendations to States Parties also changed over the course of the pandemic. There is a need to understand how WHO's treatment of this issue compared with other PHEICs and why States Parties' actions diverged from WHO's initial Recommendations. This first analysis of WHO's Temporary Recommendations on international travel and trade measures during all seven PHEICs compares the guidance for clarity and consistency in several areas of substance and process. We find that lack of clarity and inconsistency in WHO guidance makes it difficult to interpret and relate back to IHR obligations. Based on this analysis, we offer recommendations to increase consistency and clarity of WHO's guidance on this issue during global health emergencies.

Use of routine health information systems for policy-making towards universal health coverage in decentralized countries: a comparative analysis of strategies used in Indonesia and Philippines

The Asia Pacific Observatory on Health Systems and Policies (the APO) is a collaborative partnership of interested governments, international agencies, foundations, and researchers that promotes evidence-informed healthsystem policy regionally and in all countries in the Asia Pacific region. The APO collaboratively identifies priority health system issues across the Asia Pacific region; develops and synthesizes relevant research to support and inform countries’ evidence-based policy development; and builds country and regional health systems research andevidence-informed policy capacity.

Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study.

INTRODUCTION: The COVID-19 pandemic has a significant spill-over effect on people with non-communicable diseases (NCDs) over the long term, beyond the direct effect of COVID-19 infection. Evaluating changes in health outcomes, health service use and costs can provide evidence to optimise care for people with NCDs during and after the pandemic, and to better prepare outbreak responses in the future. METHODS AND ANALYSIS: This is a population-based cohort study using electronic health records of the Hong Kong Hospital Authority (HA) CMS, economic modelling and serial cross-sectional surveys on health service use. This study includes people aged ≥18 years who have a documented diagnosis of diabetes mellitus, hypertension, cardiovascular disease, cancer, chronic respiratory disease or chronic kidney disease with at least one attendance at the HA hospital or clinic between 1 January 2010 and 31 December 2019, and without COVID-19 infection. Changes in all-cause mortality, disease-specific outcomes, and health services use rates and costs will be assessed between pre-COVID-19 and-post-COVID-19 pandemic or during each wave using an interrupted time series analysis. The long-term health economic impact of healthcare disruptions during the COVID-19 pandemic will be studied using microsimulation modelling. Multivariable Cox proportional hazards regression and Poisson/negative binomial regression will be used to evaluate the effect of different modes of supplementary care on health outcomes. ETHICS AND DISSEMINATION: The study was approved by the institutional review board of the University of Hong Kong, the HA Hong Kong West Cluster (reference number UW 21-297). The study findings will be disseminated through peer-reviewed publications and international conferences.

The impact of institutional delivery on neonatal and maternal health outcomes: evidence from a road upgrade programme in India.

INTRODUCTION: Persistently high rates of neonatal and maternal mortality have been associated with home births in many low-income and middle-income countries (LMICs). However, causal evidence of the effect of institutional deliveries on neonatal and maternal health outcomes is limited in these settings. METHODS: We investigate the effect of institutional deliveries on neonatal mortality and maternal postpartum complications in rural India using data from the 2015-2016 Indian Demographic and Health Survey and an instrumental variable methodology to overcome selection bias issues inherent in observational studies. Specifically, we exploit plausibly exogenous variation in exposure to a road upgrade programme that quasi-randomly upgraded roads to villages across India. RESULTS: We find large effects of the road construction programme on the probability that a woman delivered in a health facility: moving from an unconnected village to a connected village increased the probability of an institutional delivery by 13 percentage points, with the biggest increases in institutional delivery observed in public hospitals and among women with lower levels of education and from poorer households. However, we find no evidence that increased institutional delivery rates improved rates of neonatal mortality or postpartum complications, regardless of whether the delivery occurred in a public or private facility, or if it was with a skilled birth attendant. CONCLUSION: Policies that encourage institutional delivery do not always translate into increased health outcomes and should thus be complemented with efforts to improve the quality of care to improve neonatal and maternal health outcomes in LMICs.

Understanding the Implementation of Antimicrobial Policies: Lessons from the Hong Kong Strategy and Action Plan.

In 2017, the Hong Kong Strategy and Action Plan on Antimicrobial Resistance 2017-2022 (HKSAP) was announced with the aim of tackling the growing threat of antimicrobial resistance (AMR) in Hong Kong. However, little is known about how the planned activities have been implemented. In this study, we examine the status of implementation of the HKSAP using the Smith Policy Implementation Process Model. Semi-structured interviews with 17 informants found that important achievements have been made, including launching educational and training activities targeting the public, farmers, and healthcare professionals; upgrading the AMR surveillance system; and strengthening AMR stewardship and infection control. Nevertheless, participants also identified barriers to greater implementation, such as tensions across sectors, ongoing inappropriate drug use and prescription habits, insufficient human and technical resources, as well as a weak accountability framework. Environmental factors such as the COVID-19 pandemic also affected the implementation of HKSAP. Our study indicated that expanding engagement with the public and professionals, creating a collaborative environment for policy implementation, and building a well-functioning monitoring and evaluation system should be areas to focus on in future AMR policies.

Estimating the impact of trained midwives and upgraded health facilities on institutional delivery rates in Nigeria using a quasi-experimental study design.

OBJECTIVES: Studies have shown that demand-side interventions, such as conditional cash transfers and vouchers, can increase the proportion of women giving birth in a health facility in low-income and middle-income countries, but there is limited evidence of the effectiveness of supply-side interventions. We evaluated the impact of the Subsidy Reinvestment and Empowerment Programme Maternal and Child Health Project (SURE-P MCH) on rates of institutional delivery and antenatal care. DESIGN, SETTING AND PARTICIPANTS: We used a differences-in-differences study design that compared changes in rates of institutional delivery and antenatal care in areas that had received additional support through the SURE-P MCH programme relative to areas that did not. Data on outcomes were obtained from the 2013 Nigerian Demographic and Health Survey. RESULTS: We found that the programme significantly increased the proportion of women giving birth in a health facility by approximately 7 percentage points (p=0.069) or approximately 10% relative to the baseline after 9 months of implementation. The programme, however, did not significantly increase the use of antenatal care. CONCLUSION: The findings of this study suggest there could be important improvements in institutional delivery rates through greater investment in supply-side interventions.

Disruptions in maternal health service use during the COVID-19 pandemic in 2020: experiences from 37 health facilities in low-income and middle-income countries.

The COVID-19 pandemic has heterogeneously affected use of basic health services worldwide, with disruptions in some countries beginning in the early stages of the emergency in March 2020. These disruptions have occurred on both the supply and demand sides of healthcare, and have often been related to resource shortages to provide care and lower patient turnout associated with mobility restrictions and fear of contracting COVID-19 at facilities. In this paper, we assess the impact of the COVID-19 pandemic on the use of maternal health services using a time series modelling approach developed to monitor health service use during the pandemic using routinely collected health information systems data. We focus on data from 37 non-governmental organisation-supported health facilities in Haiti, Lesotho, Liberia, Malawi, Mexico and Sierra Leone. Overall, our analyses indicate significant declines in first antenatal care visits in Haiti (18% drop) and Sierra Leone (32% drop) and facility-based deliveries in all countries except Malawi from March to December 2020. Different strategies were adopted to maintain continuity of maternal health services, including communication campaigns, continuity of community health worker services, human resource capacity building to ensure compliance with international and national guidelines for front-line health workers, adapting spaces for safe distancing and ensuring the availability of personal protective equipment. We employ a local lens, providing prepandemic context and reporting results and strategies by country, to highlight the importance of developing context-specific interventions to design effective mitigation strategies.

Addressing missing values in routine health information system data: an evaluation of imputation methods using data from the Democratic Republic of the Congo during the COVID-19 pandemic.

BACKGROUND: Poor data quality is limiting the use of data sourced from routine health information systems (RHIS), especially in low- and middle-income countries. An important component of this data quality issue comes from missing values, where health facilities, for a variety of reasons, fail to report to the central system. METHODS: Using data from the health management information system in the Democratic Republic of the Congo and the advent of COVID-19 pandemic as an illustrative case study, we implemented seven commonly used imputation methods and evaluated their performance in terms of minimizing bias in imputed values and parameter estimates generated through subsequent analytical techniques, namely segmented regression, which is widely used in interrupted time series studies, and pre-post-comparisons through paired Wilcoxon rank-sum tests. We also examined the performance of these imputation methods under different missing mechanisms and tested their stability to changes in the data. RESULTS: For regression analyses, there were no substantial differences found in the coefficient estimates generated from all methods except mean imputation and exclusion and interpolation when the data contained less than 20% missing values. However, as the missing proportion grew, k-NN started to produce biased estimates. Machine learning algorithms, i.e. missForest and k-NN, were also found to lack robustness to small changes in the data or consecutive missingness. On the other hand, multiple imputation methods generated the overall most unbiased estimates and were the most robust to all changes in data. They also produced smaller standard errors than single imputations. For pre-post-comparisons, all methods produced p values less than 0.01, regardless of the amount of missingness introduced, suggesting low sensitivity of Wilcoxon rank-sum tests to the imputation method used. CONCLUSIONS: We recommend the use of multiple imputation in addressing missing values in RHIS datasets and appropriate handling of data structure to minimize imputation standard errors. In cases where necessary computing resources are unavailable for multiple imputation, one may consider seasonal decomposition as the next best method. Mean imputation and exclusion and interpolation, however, always produced biased and misleading results in the subsequent analyses, and thus, their use in the handling of missing values should be discouraged.

Impact of the COVID-19 pandemic and response on the utilisation of health services in public facilities during the first wave in Kinshasa, the Democratic Republic of the Congo.

INTRODUCTION: Health service use among the public can decline during outbreaks and had been predicted among low and middle-income countries during the COVID-19 pandemic. In March 2020, the government of the Democratic Republic of the Congo (DRC) started implementing public health measures across Kinshasa, including strict lockdown measures in the Gombe health zone. METHODS: Using monthly time series data from the DRC Health Management Information System (January 2018 to December 2020) and interrupted time series with mixed effects segmented Poisson regression models, we evaluated the impact of the pandemic on the use of essential health services (outpatient visits, maternal health, vaccinations, visits for common infectious diseases and non-communicable diseases) during the first wave of the pandemic in Kinshasa. Analyses were stratified by age, sex, health facility and lockdown policy (ie, Gombe vs other health zones). RESULTS: Health service use dropped rapidly following the start of the pandemic and ranged from 16% for visits for hypertension to 39% for visits for diabetes. However, reductions were highly concentrated in Gombe (81% decline in outpatient visits) relative to other health zones. When the lockdown was lifted, total visits and visits for infectious diseases and non-communicable diseases increased approximately twofold. Hospitals were more affected than health centres. Overall, the use of maternal health services and vaccinations was not significantly affected. CONCLUSION: The COVID-19 pandemic resulted in important reductions in health service utilisation in Kinshasa, particularly Gombe. Lifting of lockdown led to a rebound in the level of health service use but it remained lower than prepandemic levels.

"We also deserve help during the pandemic": The effect of the COVID-19 pandemic on foreign domestic workers in Hong Kong.

The coronavirus disease 2019 (COVID-19) pandemic poses particular challenges for migrant workers around the world. This study explores the unique experiences of foreign domestic workers (FDWs) in Hong Kong, and how COVID-19 impacted their health and economic wellbeing. Interviews with FDWs (n = 15) and key informants (n = 3) were conducted between May and August 2020. FDWs reported a dual-country experience of the pandemic, where they expressed concerns about local transmission risks as well as worries about their family members in their home country. Changes to their current work situation included how their employers treated them, as well as their employment status. FDWs also cited blind spots in the Hong Kong policy response that also affected their experience of the pandemic, including a lack of support from the Hong Kong government. Additional support is needed to mitigate the particularly negative effects of the pandemic on FDWs.

Evidence of the effectiveness of travel-related measures during the early phase of the COVID-19 pandemic: a rapid systematic review.

OBJECTIVE: To review the effectiveness of travel measures implemented during the early stages of the COVID-19 pandemic to inform changes on how evidence is incorporated in the International Health Regulations (2005) (IHR). DESIGN: We used an abbreviated Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols to identify studies that investigated the effectiveness of travel-related measures preprinted or published by 1 June 2020. RESULTS: We identified 29 studies, of which 26 were modelled. Thirteen studies investigated international measures, while 17 investigated domestic measures (one investigated both). There was a high level of agreement that the adoption of travel measures led to important changes in the dynamics of the early phases of the COVID-19 pandemic: the Wuhan measures reduced the number of cases exported internationally by 70%-80% and led to important reductions in transmission within Mainland China. Additional travel measures, including flight restrictions to and from China, may have led to additional reductions in the number of exported cases. Few studies investigated the effectiveness of measures implemented in other contexts. Early implementation was identified as a determinant of effectiveness. Most studies of international travel measures did not account for domestic travel measures thus likely leading to biased estimates. CONCLUSION: Travel measures played an important role in shaping the early transmission dynamics of the COVID-19 pandemic. There is an urgent need to address important evidence gaps and also a need to review how evidence is incorporated in the IHR in the early phases of a novel infectious disease outbreak.

Donor funding health policy and systems research in low- and middle-income countries: how much, from where and to whom.

BACKGROUND: The need for sufficient and reliable funding to support health policy and systems research (HPSR) in low- and middle-income countries (LMICs) has been widely recognised. Currently, most resources to support such activities come from traditional development assistance for health (DAH) donors; however, few studies have examined the levels, trends, sources and national recipients of such support - a gap this research seeks to address. METHOD: Using OECD's Creditor Reporting System database, we classified donor funding commitments using a keyword analysis of the project-level descriptions of donor supported projects to estimate total funding available for HPSR-related activities annually from bilateral and multilateral donors, as well as the Bill and Melinda Gates Foundation, to LMICs over the period 2000-2014. RESULTS: Total commitments to HPSR-related activities have greatly increased since 2000, peaked in 2010, and have held steady since 2011. Over the entire study period (2000-2014), donors committed a total of $4 billion in funding for HPSR-related activities or an average of $266 million a year. Over the last 5 years (2010-2014), donors committed an average of $434 million a year to HPSR-related activities. Funding for HPSR is heavily concentrated, with more than 93% coming from just 10 donors and only represents approximately 2% of all donor funding for health and population projects. Countries in the sub-Saharan African region are the major recipients of HPSR funding. CONCLUSION: Funding for HPSR-related activities has generally increased over the study period; however, donor support to such activities represents only a small proportion of total DAH and has not grown in recent years. Donors should consider increasing the proportion of funds they allocate to support HPSR activities in order to further build the evidence base on how to build stronger health systems.

Evaluation Of A Maternal Health Program In Uganda And Zambia Finds Mixed Results On Quality Of Care And Satisfaction.

Saving Mothers, Giving Life is a multidonor program designed to reduce maternal mortality in Uganda and Zambia. We used a quasi-random research design to evaluate its effects on provider obstetric knowledge, clinical confidence, and job satisfaction, and on patients' receipt of services, perceived quality, and satisfaction. Study participants were 1,267 health workers and 2,488 female patients. Providers' knowledge was significantly higher in Ugandan and Zambian intervention districts than in comparison districts, and in Uganda there were similar positive differences for providers' clinical confidence and job satisfaction. Patients in Ugandan intervention facilities were more likely to give high ratings for equipment availability, providers' knowledge and communication skills, and care quality, among other factors, than patients in comparison facilities. There were fewer differences between Zambian intervention and comparison facilities. Country differences likely reflect differing intensity of program implementation and the more favorable geography of intervention districts in Uganda than in Zambia. National investments in the health system and provider training and the identification of intervention components most associated with improved performance will be required for scaling up and sustaining the program.

Power and priorities: the growing pains of global health Comment on "Knowledge, moral claims and the exercise of power in global health".

Shiffman has argued that some actors have a great deal of power in global health, and that more reflection is needed on whether such forms of power are legitimate. Global health is a new and evolving field that builds upon the historical fields of public and international health, but is more multi-disciplinary and inter-disciplinary in nature. This article argues that the distribution of power in some global health institutions may be limiting the contributions of all researchers in the field.

'Big push' to reduce maternal mortality in Uganda and Zambia enhanced health systems but lacked a sustainability plan.

In the past decade, "big push" global health initiatives financed by international donors have aimed to rapidly reach ambitious health targets in low-income countries. The health system impacts of these efforts are infrequently assessed. Saving Mothers, Giving Life is a global public-private partnership that aims to reduce maternal mortality dramatically in one year in eight districts in Uganda and Zambia. We evaluated the first six to twelve months of the program's implementation, its ownership by national ministries of health, and its effects on health systems. The project's impact on maternal mortality is not reported here. We found that the Saving Mothers, Giving Life initiative delivered a large "dose" of intervention quickly by capitalizing on existing US international health assistance platforms, such as the President's Emergency Plan for AIDS Relief. Early benefits to the broader health system included greater policy attention to maternal and child health, new health care infrastructure, and new models for collaborating with the private sector and communities. However, the rapid pace, external design, and lack of a long-term financing plan hindered integration into the health system and local ownership. Sustaining and scaling up early gains of similar big push initiatives requires longer-term commitments and a clear plan for transition to national control.