Health facility management and primary health care performance in Uganda.

BACKGROUND: Primary health care is a critical foundation of high-quality health systems. Health facility management has been studied in high-income countries, but there are significant measurement gaps about facility management and primary health care performance in low and middle-income countries. A primary health care facility management evaluation tool (PRIME-Tool) was initially piloted in Ghana where better facility management was associated with higher performance on select primary health care outcomes such as essential drug availability, trust in providers, ease of following a provider's advice, and overall patient-reported quality rating. In this study, we sought to understand health facility management within Uganda's decentralized primary health care system. METHODS: We administered and analyzed a cross-sectional household and health facility survey conducted in Uganda in 2019, assessing facility management using the PRIME-Tool. RESULTS: Better facility management was associated with better essential drug availability but not better performance on measures of stocking equipment. Facilities with better PRIME-Tool management scores trended towards better performance on a number of experiential quality measures. We found significant disparities in the management performance of primary health care facilities. In particular, patients with greater wealth and education and those living in urban areas sought care at facilities that performed better on management. Private facilities and hospitals performed better on the management index than public facilities and health centers and clinics. CONCLUSIONS: These results suggest that investments in stronger facility management in Uganda may strengthen key aspects of facility readiness such as essential drug availability and potentially could affect experiential quality of care. Nevertheless, the stark disparities demonstrate that Uganda policymakers need to target investments strategically in order to improve primary health care equitably across socioeconomic status and geography. Moreover, other low and middle-income countries may benefit from the use of the PRIME-Tool to rapidly assess facility management with the goal of understanding and improving primary health care performance.

Predictors of patient-reported quality of care in low- and middle-income countries: a four-country survey of person-centered care.

BACKGROUND: Person-centeredness is a foundation of high-quality health systems but is poorly measured in low- and middle-income countries (LMICs). We piloted an online survey of four LMICs to identify the prevalence and correlates of excellent patient-reported quality of care (QOC). OBJECTIVE: The aims of this study were to investigate the examine people's overall ratings of care quality in relation to their experiences seeking care in their respective health systems as well as individual-, provider- and facility-level predictors. METHODS: We administered a cross-sectional online survey using Random Domain Intercept Technology to collect a sample of random internet users across India, Kenya, Mexico and Nigeria in November 2016. The primary outcome was patient-reported QOC. Covariates included age, gender, level of education, urban/rural residence, person for whom care was sought, type of provider seen, public or private sector status of the health facility and type of facility. The exposure was an index of health system responsiveness based on a framework from the World Health Organization. We used descriptive statistics to determine the prevalence of excellent patient-reported QOC and multivariable Poisson regression to calculate adjusted prevalence ratios (aPRs) for predictors of excellent patient-reported quality. RESULTS: Fourteen thousand and eight people completed the survey (22.6% completion rate). Survey respondents tended to be young, male, well-educated and urban-dwelling, reflective of the demographic of the internet-using population. Four thousand one and ninety-one (29.9%) respondents sought care in the prior 6 months. Of those, 21.8% rated their QOC as excellent. The highest proportion of respondents gave the top rating for wait time (44.6%), while the lowest proportion gave the top rating for facility cleanliness (21.7%). In an adjusted analysis, people who experienced the highest level of health system responsiveness were significantly more likely to report excellent QOC compared to those who did not (aPR 8.61, 95% confidence interval [95% CI]: 7.50, 9.89). In the adjusted model, urban-dwelling individuals were less likely to report excellent quality compared to rural-dwelling individuals (aPR 0.88, 95% CI: 0.78, 0.99). People who saw community health workers (aPR 1.37, 95% CI: 1.12, 1.67) and specialists (aPR 1.30, 95% CI: 1.12, 1.50) were more likely to report excellent quality than those who saw primary care providers. High perceived respect from the provider or staff was most highly associated with excellent ratings of quality, while ratings of wait time corresponded the least. CONCLUSION: Patient-reported QOC is low in four LMICs, even among a well-educated, young population of internet users. Better health system responsiveness may be associated with better ratings of care quality. Improving person-centered care will be an important component of building high-quality health systems in these LMICs.

Preliminary validation of the PRImary care facility Management Evaluation tool (PRIME-Tool), a national facility management survey implemented in Ghana.

BACKGROUND: The management quality of healthcare facilities has consistently been linked to facility performance, but available tools to measure management are costly to implement, often hospital-specific, not designed for low- and middle-income countries (LMICs), nor widely deployed. We addressed this gap by developing the PRImary care facility Management Evaluation Tool (PRIME-Tool), a primary health care facility management survey for integration into routine national surveys in LMICs. We present an analysis of the tool's psychometric properties and suggest directions for future improvements. METHODS: The PRIME-Tool assesses performance in five core management domains: Target setting, Operations, Human resources, Monitoring, and Community engagement. We evaluated two versions of the PRIME-Tool. We surveyed 142 primary health care (PHC) facilities in Ghana in 2016 using the first version (27 items) and 148 facilities in 2017 using the second version (34 items). We calculated floor and ceiling effects for each item and conducted exploratory factor analyses to examine the factor structure for each year and version of the tool. We developed a revised management framework and PRIME-tool as informed by these exploratory results, further review of management theory literature, and co-author consensus. RESULTS: The majority (17 items in 2016, 23 items in 2017) of PRIME-Tool items exhibited ceiling effects, but only three (2 items in 2016, 3 items in 2017) showed floor effects. Solutions suggested by factor analyses did not fully fit our initial hypothesized management domains. We found five groupings of items that consistently loaded together across each analysis and named these revised domains as Supportive supervision and target setting, Active monitoring and review, Community engagement, Client feedback for improvement, and Operations and financing. CONCLUSION: The revised version of the PRIME-Tool captures a range of important and actionable information on the management of PHC facilities in LMIC contexts. We recommend its use by other investigators and practitioners to further validate its utility in PHC settings. We will continue to refine the PRIME-Tool to arrive at a parsimonious tool for tracking PHC facility management quality. Better understanding the functional components of PHC facility management can help policymakers and frontline managers drive evidence-based improvements in performance.

Primary Health Care as a Foundation for Strengthening Health Systems in Low- and Middle-Income Countries.

Primary health care (PHC) has been recognized as a core component of effective health systems since the early part of the twentieth century. However, despite notable progress, there remains a large gap between what individuals and communities need, and the quality and effectiveness of care delivered. The Primary Health Care Performance Initiative (PHCPI) was established by an international consortium to catalyze improvements in PHC delivery and outcomes in low- and middle-income countries through better measurement and sharing of effective models and practices. PHCPI has developed a framework to illustrate the relationship between key financing, workforce, and supply inputs, and core primary health care functions of first-contact accessibility, comprehensiveness, coordination, continuity, and person-centeredness. The framework provides guidance for more effective assessment of current strengths and gaps in PHC delivery through a core set of 25 key indicators ("Vital Signs"). Emerging best practices that foster high-performing PHC system development are being codified and shared around low- and high-income countries. These measurement and improvement approaches provide countries and implementers with tools to assess the current state of their PHC delivery system and to identify where cross-country learning can accelerate improvements in PHC quality and effectiveness.

Better Measurement for Performance Improvement in Low- and Middle-Income Countries: The Primary Health Care Performance Initiative (PHCPI) Experience of Conceptual Framework Development and Indicator Selection.

Policy Points: Strengthening accountability through better measurement and reporting is vital to ensure progress in improving quality primary health care (PHC) systems and achieving universal health coverage (UHC). The Primary Health Care Performance Initiative (PHCPI) provides national decision makers and global stakeholders with opportunities to benchmark and accelerate performance improvement through better performance measurement. Results from the initial PHC performance assessments in low- and middle-income countries (LMICs) are helping guide PHC reforms and investments and improve the PHCPI's instruments and indicators. Findings from future assessment activities will further amplify cross-country comparisons and peer learning to improve PHC. New indicators and sources of data are needed to better understand PHC system performance in LMICs. CONTEXT: The Primary Health Care Performance Initiative (PHCPI), a collaboration between the Bill and Melinda Gates Foundation, The World Bank, and the World Health Organization, in partnership with Ariadne Labs and Results for Development, was launched in 2015 with the aim of catalyzing improvements in primary health care (PHC) systems in 135 low- and middle-income countries (LMICs), in order to accelerate progress toward universal health coverage. Through more comprehensive and actionable measurement of quality PHC, the PHCPI stimulates peer learning among LMICs and informs decision makers to guide PHC investments and reforms. Instruments for performance assessment and improvement are in development; to date, a conceptual framework and 2 sets of performance indicators have been released. METHODS: The PHCPI team developed the conceptual framework through literature reviews and consultations with an advisory committee of international experts. We generated 2 sets of performance indicators selected from a literature review of relevant indicators, cross-referenced against indicators available from international sources, and evaluated through 2 separate modified Delphi processes, consisting of online surveys and in-person facilitated discussions with experts. FINDINGS: The PHCPI conceptual framework builds on the current understanding of PHC system performance through an expanded emphasis on the role of service delivery. The first set of performance indicators, 36 Vital Signs, facilitates comparisons across countries and over time. The second set, 56 Diagnostic Indicators, elucidates underlying drivers of performance. Key challenges include a lack of available data for several indicators and a lack of validated indicators for important dimensions of quality PHC. CONCLUSIONS: The availability of data is critical to assessing PHC performance, particularly patient experience and quality of care. The PHCPI will continue to develop and test additional performance assessment instruments, including composite indices and national performance dashboards. Through country engagement, the PHCPI will further refine its instruments and engage with governments to better design and finance primary health care reforms.

Methods used in prevalence studies of disrespect and abuse during facility based childbirth: lessons learned.

BACKGROUND: Several recent studies have attempted to measure the prevalence of disrespect and abuse (D&A) of women during childbirth in health facilities. Variations in reported prevalence may be associated with differences in study instruments and data collection methods. This systematic review and comparative analysis of methods aims to aggregate and present lessons learned from published studies that quantified the prevalence of Disrespect and Abuse (D&A) during childbirth. METHODS: We conducted a systematic review of the literature in accordance with PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Five papers met criteria and were included for analysis. We developed an analytical framework depicting the basic elements of epidemiological methodology in prevalence studies and a table of common types of systematic error associated with each of them. We performed a head-to-head comparison of study methods for all five papers. Using these tools, an independent reviewer provided an analysis of the potential for systematic error in the reported prevalence estimates. RESULTS: Sampling techniques, eligibility criteria, categories of D&A selected for study, operational definitions of D&A, summary measures of D&A, and the mode, timing, and setting of data collection all varied in the five studies included in the review. These variations present opportunities for the introduction of biases - in particular selection, courtesy, and recall bias - and challenge the ability to draw comparisons across the studies' results. CONCLUSION: Our review underscores the need for caution in interpreting or comparing previously reported prevalence estimates of D&A during facility-based childbirth. The lack of standardized definitions, instruments, and study methods used to date in studies designed to quantify D&A in childbirth facilities introduced the potential for systematic error in reported prevalence estimates, and affected their generalizability and comparability. Chief among the lessons to emerge from comparing methods for measuring the prevalence of D&A is recognition of the tension between seeking prevalence measures that are reliable and generalizable, and attempting to avoid loss of validity in the context where the issue is being studied.

The prevalence of disrespect and abuse during facility-based childbirth in urban Tanzania.

BACKGROUND: In many countries, rates of facility-based childbirth have increased substantially in recent years. However, insufficient attention has been paid to the acceptability and quality of maternal health services provided at facilities and, consequently, maternal health outcomes have not improved as expected. Disrespect and abuse during childbirth is increasingly being recognized as an indicator of overall poor quality of care and as a key barrier to achieving improved maternal health outcomes, but little evidence exists to describe the scope and magnitude of this problem, particularly in urban areas in low-income countries. METHODS: This paper presents findings from an assessment of the prevalence of disrespectful and abusive behaviors during facility-based childbirth in one large referral hospital in Dar es Salaam, Tanzania. Client reports of disrespect and abuse (D&A) were obtained through postpartum interviews immediately before discharge from the facility with 1914 systematically sampled women and from community follow-up interviews with 64 women four to six weeks post-delivery. Additionally, 197 direct observations of the labor, delivery, and postpartum period were conducted to document specific incidences of disrespect and abuse during labor and delivery, which we compared with women's reports. RESULTS: During postpartum interviews, 15 % of women reported experiencing at least one instance of D&A. This number was dramatically higher during community follow-up interviews, in which 70 % of women reported any experience of D&A. During postpartum interviews, the most common forms of D&A reported were abandonment (8 %), non-dignified care (6 %), and physical abuse (5 %), while reporting for all categories of D&A, excluding detention and non consented care, was above 50 % during community follow-up interviews. Evidence from direct observations of client-provider interactions during labor and delivery confirmed high rates of some disrespectful and abusive behaviors. CONCLUSIONS: This study is one of the first to quantify the prevalence of disrespect and abuse during facility-based childbirth in a large public hospital in an urban setting. The difference in respondent reports between the two time periods is striking, and more research is needed to determine the most appropriate methodologies for measuring this phenomenon. The levels and types of disrespect and abuse reported here represent fundamental violations of women's human rights and are symptomatic of failing health systems. Action is urgently needed to ensure acceptable, quality, and dignified care for all women.

Applying a participatory approach to the promotion of a culture of respect during childbirth.

Disrespect and abuse (D&A) during facility-based childbirth is a topic of growing concern and attention globally. Several recent studies have sought to quantify the prevalence of D&A, however little evidence exists about effective interventions to mitigate disrespect and abuse, and promote respectful maternity care. In an accompanying article, we describe the process of selecting, implementing, and evaluating a package of interventions designed to prevent and reduce disrespect and abuse in a large urban hospital in Tanzania. Though that study was not powered to detect a definitive impact on reducing D&A, the results showed important changes in intermediate outcomes associated with this goal. In this commentary, we describe the factors that enabled this effect, especially the participatory approach we adopted to engage key stakeholders throughout the planning and implementation of the program. Based on our experience and findings, we conclude that a visible, sustained, and participatory intervention process; committed facility leadership; management support; and staff engagement throughout the project contributed to a marked change in the culture of the hospital to one that values and promotes respectful maternity care. For these changes to translate into dignified care during childbirth for all women in a sustainable fashion, institutional commitment to providing the necessary resources and staff will be needed.

Mitigating disrespect and abuse during childbirth in Tanzania: an exploratory study of the effects of two facility-based interventions in a large public hospital.

BACKGROUND: There is emerging evidence that disrespect and abuse (D&A) during facility-based childbirth is prevalent in countries throughout the world and a barrier to achieving good maternal health outcomes. However, much work remains in the identification of effective interventions to prevent and eliminate D&A during facility-based childbirth. This paper describes an exploratory study conducted in a large referral hospital in Dar es Salaam, Tanzania that sought to measure D&A, introduce a package of interventions to reduce its incidence, and evaluate their effectiveness. METHODS: After extensive consultation with critical constituencies, two discrete interventions were implemented: (1) Open Birth Days (OBD), a birth preparedness and antenatal care education program, and (2) a workshop for healthcare providers based on the Health Workers for Change curriculum. Each intervention was designed to increase knowledge of patient rights and birth preparedness; increase and improve patient-provider and provider-administrator communication; and improve women's experience and provider attitudes. The effects of the interventions were assessed using a pre-post design and a range of tools: pre-post questionnaires for OBD participants and pre-post questionnaires for workshop participants; structured interviews with healthcare providers and administrators; structured interviews with women who gave birth at the study facility; and direct observations of patient-provider interactions during labor and delivery. RESULTS: Comparisons before and after the interventions showed an increase in patient and provider knowledge of user rights across multiple dimensions, as well as women's knowledge of the labor and delivery process. Women reported feeling better prepared for delivery and provider attitudes towards them improved, with providers reporting higher levels of empathy for the women they serve and better interpersonal relationships. Patients and providers reported improved communication, which direct observations confirmed. Additionally, women reported feeling more empowered and confident during delivery. Provider job satisfaction increased substantially from baseline levels, as did user reports of satisfaction and perceptions of care quality. CONCLUSIONS: Collectively, the outcomes of this study indicate that the tested interventions have the potential to be successful in promoting outcomes that are prerequisite to reducing disrespect and abuse. However, a more rigorous evaluation is needed to determine the full impact of these interventions.

Strengthening data collection and use for quality improvement in primary care: the case of Costa Rica.

Costa Rica is a bright spot of primary healthcare (PHC) performance, providing first-contact accessibility and continuous, comprehensive, coordinated, and patient-centered care to its citizens. Previous research hypothesized that strong data collection and use for quality improvement are central to Costa Rica's success. Using qualitative data from 40 interviews with stakeholders across the Costa Rican healthcare system, this paper maps the various data streams at the PHC level and delineates how these data are used to make decisions around insuring and improving the quality of PHC delivery. We describe four main types of PHC data: individual patient data, population health data, national healthcare delivery data, and local supplementary healthcare delivery data. In particular, we find that the Healthcare Delivery Performance Index-a ranking of the nation's 106 Health Areas using 15 quality indicators-is utilized by Health Area Directors to create quality improvement initiatives, ranging from education and coaching to optimization of care delivery and coordination. By ranking Health Areas, the Index harnesses providers' intrinsic motivation to stimulate improvement without financial incentives. We detail how a strong culture of valuing data as a tool for improving population health and robust training for personnel have enabled effective data collection and use. However, we also find that the country's complex data systems create unnecessary duplication and can inhibit efficient data use. Costa Rica's experience with data collection, analysis, and use for quality improvement hold important lessons for PHC in other public sector systems.

National Response to COVID-19 in the Republic of Korea and Lessons Learned for Other Countries.

In the first two months of the COVID-19 pandemic, the Republic of Korea (South Korea) had the second highest number of cases globally yet was able to dramatically lower the incidence of new cases and sustain a low mortality rate, making it a promising example of strong national response. We describe the main strategies undertaken and selected facilitators and challenges in order to identify transferable lessons for other countries working to control the spread and impact of COVID-19. Identified strategies included early recognition of the threat and rapid activation of national response protocols led by national leadership; rapid establishment of diagnostic capacity; scale-up of measures for preventing community transmission; and redesigning the triage and treatment systems, mobilizing the necessary resources for clinical care. Facilitators included existing hospital capacity, the epidemiology of the COVID-19 outbreak, and strong national leadership despite political changes and population sensitization due to the 2015 Middle East respiratory syndrome-related coronavirus (MERS-CoV) epidemic. Challenges included sustaining adequate human resources and supplies in high-caseload areas. Key recommendations include (1) recognize the problem, (2) establish diagnostic capacity, (3) implement aggressive measures to prevent community transmission, (4) redesign and reallocate clinical resources for the new environment, and (5) work to limit economic impact through and while prioritizing controlling the spread and impact of COVID-19. South Korea's strategies to prevent, detect, and respond to the pandemic represent applicable knowledge that can be adopted by other countries and the global community facing the enormous COVID-19 challenges ahead.

Implementing sustainable primary healthcare reforms: strategies from Costa Rica.

As the world strives to achieve universal health coverage by 2030, countries must build robust healthcare systems founded on strong primary healthcare (PHC). In order to strengthen PHC, country governments need actionable guidance about how to implement health reform. Costa Rica is an example of a country that has taken concrete steps towards successfully improving PHC over the last two decades. In the 1990s, Costa Rica implemented three key reforms: governance restructuring, geographic empanelment, and multidisciplinary teams. To understand how Costa Rica implemented these reforms, we conducted a process evaluation based on a validated implementation science framework. We interviewed 39 key informants from across Costa Rica's healthcare system in order to understand how these reforms were implemented. Using the Exploration Preparation Implementation Sustainment (EPIS) framework, we coded the results to identify Costa Rica's key implementation strategies and explore underlying reasons for Costa Rica's success as well as ongoing challenges. We found that Costa Rica implemented PHC reforms through strong leadership, a compelling vision and deliberate implementation strategies such as building on existing knowledge, resources and infrastructure; bringing together key stakeholders and engaging deeply with communities. These reforms have led to dramatic improvements in health outcomes in the past 25 years. Our in-depth analysis of Costa Rica's specific implementation strategies offers tangible lessons and examples for other countries as they navigate the important but difficult work of strengthening PHC.

Assessment of Bypass of the Nearest Primary Health Care Facility Among Women in Ghana.

Importance: Recent reports have highlighted that expanding access to health care is ineffective at meeting the goal of universal health coverage if the care offered does not meet a minimum level of quality. Health care facilities nearest to patient's homes that are perceived to offer inadequate or inappropriate care are frequently bypassed in favor of more distant private or tertiary-level hospital facilities that are perceived to offer higher-quality care. Objective: To estimate the frequency with which women in Ghana bypass the nearest primary health care facility and describe patient experiences, costs, and other factors associated with this choice. Design, Setting, and Participants: This nationally representative survey study was conducted in 2017 and included 4203 households to identify women in Ghana aged 15 to 49 years (ie, reproductive age) who sought primary care within the last 6 months. Women who sought care within the past 6 months were included in the study. Data were analyzed from 2018 to 2019. Exposures: Bypass was defined as a woman's report that she sought care at a health facility other than the nearest facility. Main Outcomes and Measures: Sociodemographic characteristics, reasons why women sought care, reasons why women bypassed their nearest facility, ratings for responsiveness of care, patient experience, and out-of-pocket costs. All numbers and percentages were survey-weighted to account for survey design. Results: A total of 4289 women met initial eligibility criteria, and 4207 women (98.1%) completed the interview. A total of 1993 women reported having sough health care in the past 6 months, and after excluding those who were ineligible and survey weighting, the total sample included 1946 women. Among these, 629 women (32.3%) reported bypassing their nearest facilities for primary care. Women who bypassed their nearest facilities, compared with women who did not, were more likely to visit a private facility (152 women [24.5%] vs 202 women [15.6%]) and borrow money to pay for their care (151 women [24.0%] vs 234 women [17.8%]). After adjusting for covariates, women who bypassed reported paying a mean of 107.2 (95% CI, 79.1-135.4) Ghanaian Cedis (US $18.50 [95% CI, $13.65-$23.36]) for their care, compared with a mean of 58.6 (95% CI, 28.1-89.2) Ghanaian Cedis (US $10.11 [95% CI, $4.85-15.35]) for women who did not bypass (P = .006). Women who bypassed cited clinician competence (136 women [34.3%]) and availability of supplies (93 women [23.4%]) as the most important factors in choosing a health facility. Conclusions and Relevance: The findings of this survey study suggest that bypassing the nearest health care facility was common among women in Ghana and that available services at lower levels of primary care are not meeting the needs of a large proportion of women. Among the benefits women perceived from bypassing were clinician competence and availability of supplies. These data provide insights to policy makers regarding potential gaps in service delivery and may help to guide primary health care improvement efforts.

Towards patient-centred care in Ghana: health system responsiveness, self-rated health and experiential quality in a nationally representative survey.

INTRODUCTION: Person-centredness, including patient experience and satisfaction, is a foundational element of quality of care. Evidence indicates that poor experience and satisfaction are drivers of underutilisation of healthcare services, which in turn is a major driver of avoidable mortality. However, there is limited information about patient experience of care at the population level, particularly in low-income and middle-income countries. METHODS: A multistage cluster sample design was used to obtain a nationally representative sample of women of reproductive age in Ghana. Women were interviewed in their homes regarding their demographic characteristics, recent care-seeking characteristics, satisfaction with care, patient-reported outcomes, and-using questions from the World Health Survey Responsiveness Module-the seven domains of responsiveness of outpatient care to assess patient experience. Using Poisson regression with log link, we assessed the relationship between responsiveness and satisfaction, as well as patient-reported outcomes. RESULTS: Women who reported more responsive care were more likely to be more educated, have good access to care and have received care at a private facility. Controlling for respondent and visit characteristics, women who reported the highest responsiveness levels were significantly more likely to report that care was excellent at meeting their needs (prevalence ratio (PR)=13.0), excellent quality of care (PR=20.8), being very likely to recommend the facility to others (PR=1.4), excellent self-rated health (PR=4.0) and excellent self-rated mental health (PR=5.1) as women who reported the lowest responsiveness levels. DISCUSSION: These findings support the emerging global consensus that responsiveness and patient experience of care are not luxuries but essential components of high-performing health systems, and highlight the need for more nuanced and systematic measurement of these areas to inform priority setting and improvement efforts.

Molecular population genetics of SLC4A1 and Southeast Asian ovalocytosis.

Southeast Asian ovalocytosis (SAO) is an erythrocyte abnormality that protects affected individuals from cerebral malaria. This trait is caused by a 27-bp deletion in the SLC4A1 gene, which is lethal when homozygous. We reseqeunced approximately 5 kb of SLC4A1 in an Indonesian population where SAO is prevalent to better understand the evolution of this clinically important trait. The four SAO chromosomes we resequenced share a single haplotype that differs from a sampled non-SAO haplotype only by the 27-bp deletion. Comparison of Indonesian sequence data to that from two other Asian populations (aboriginal Taiwanese and Japanese) shows Indonesian SLC4A1 to be strongly differentiated from the Taiwanese, but not the Japanese. Indeed, the Taiwanese sample contains only chromosomes that are highly divergent from all sampled SAO chromosomes. Because earlier studies have found an association between Austronesian-speakers (who most likely originated in Taiwan) and SAO, our failure to find SAO-like chromosomes in Taiwan is unexpected. Finally, our data find a strong excess of high-frequency derived alleles in all three populations. These alleles include the non-synonymous 'Memphis' variant, which is known to affect anion transport across the erythrocyte membrane. Our data suggest a role for recent natural selection acting on Memphis or a linked variant.

Primary healthcare system performance in low-income and middle-income countries: a scoping review of the evidence from 2010 to 2017.

INTRODUCTION: The 2018 Astana Declaration reaffirmed global commitment to primary healthcare (PHC) as a core strategy to achieve universal health coverage. To meet this potential, PHC in low-income and middle-income countries (LMIC) needs to be strengthened, but research is lacking and fragmented. We conducted a scoping review of the recent literature to assess the state of research on PHC in LMIC and understand where future research is most needed. METHODS: Guided by the Primary Healthcare Performance Initiative (PHCPI) conceptual framework, we conducted searches of the peer-reviewed literature on PHC in LMIC published between 2010 (the publication year of the last major review of PHC in LMIC) and 2017. We also conducted country-specific searches to understand performance trajectories in 14 high-performing countries identified in the previous review. Evidence highlights and gaps for each topic area of the PHCPI framework were extracted and summarised. RESULTS: We retrieved 5219 articles, 207 of which met final inclusion criteria. Many PHC system inputs such as payment and workforce are well-studied. A number of emerging service delivery innovations have early evidence of success but lack evidence for how to scale more broadly. Community-based PHC systems with supportive governmental policies and financing structures (public and private) consistently promote better outcomes and equity. Among the 14 highlighted countries, most maintained or improved progress in the scope of services, quality, access and financial coverage of PHC during the review time period. CONCLUSION: Our findings revealed a heterogeneous focus of recent literature, with ample evidence for effective PHC policies, payment and other system inputs. More variability was seen in key areas of service delivery, underscoring a need for greater emphasis on implementation science and intervention testing. Future evaluations are needed on PHC system capacities and orientation toward social accountability, innovation, management and population health in order to achieve the promise of PHC.

The status of Ghanaian community health workers' supervision and service delivery: descriptive analyses from the 2017 Performance Monitoring and Accountability 2020 survey.

Introduction: Community-based services are a critical component of high-quality primary healthcare. Ghana formally launched the National Community Health Worker (CHW) program in 2014, to augment the pre-existing Community-based Health Planning and Services (CHPS). To date, however, there is scant data about the program's implementation. We describe the current supervision and service delivery status of CHWs throughout the country. Methods: Data were collected regarding CHW supervision and service delivery during the 2017 round of the Performance Monitoring and Accountability 2020 survey. Descriptive analyses were performed by facility type, supervisor type, service delivery type, and regional distribution. Results: Over 80% of CHWs had at least monthly supervision interactions, but there was variability in the frequency of interactions. Frequency of supervision interactions did not vary by facility or supervisor type. The types of services delivered by CHWs varied greatly by facility type and region. Community mobilization, health education, and outreach for loss-to-follow-up were delivered by over three quarters of CHWs, while mental health counseling and postnatal care are provided by fewer than one third of CHWs. The Western region and Greater Accra had especially low rates of CHW service provision. Non-communicable disease treatment, which is not included in the national guidelines, was reportedly provided by some CHWs in nine out of ten regions. Conclusions: Overall, this study demonstrates variability in supervision frequency and CHW activities. A high proportion of CHWs already meet the expected frequency of supervision. Meanwhile, there are substantial differences by region of CHW service provision, which requires further research, particularly on novel CHW services such as non-communicable disease treatment. While there are important limitations to these data, these findings can be instructive for Ghanaian policymakers and implementers to target improvement initiatives for community-based services.

Facility management associated with improved primary health care outcomes in Ghana.

BACKGROUND: Strong primary health care (PHC) is essential for achieving universal health coverage, but in many low- and middle-income countries (LMICs) PHC services are of poor quality. Facility management is hypothesized to be critical for improving PHC performance, but evidence about management performance and its associations with PHC in LMICs remains limited. METHODS: We quantified management performance of PHC facilities in Ghana and assessed the experiences of women who sought care at sampled facilities. Using multi-level models, we examined associations of facility management with five process outcomes and eight experiential outcomes. FINDINGS: On a scale of 0 to 1, the average overall management score in Ghana was 0·76 (IQR = 0·68-0·85). Facility management was significantly associated with one process outcome and three experiential outcomes. Controlling for facility characteristics, facilities with management scores at the 90th percentile (management score = 0·90) had 22% more essential drugs compared to facilities with management scores at the 10th percentile (0·60) (p = 0·002). Positive statistically non-significant associations were also seen with three additional process outcomes-integration of family planning services (p = 0·054), family planning types provided (p = 0·067), and essential equipment availability (p = 0·104). Compared to women who sought care at facilities with management scores at the 10th percentile, women who sought care at facilities at the 90th percentile reported 8% higher ratings of trust in providers (p = 0·028), 15% higher ratings of ease of following provider's advice (p = 0·030), and 16% higher quality rating (p = 0·020). However, women who sought care in the 90th percentile facilities rated their waiting times as worse (22% lower, p = 0·039). INTERPRETATION: Higher management scores were associated with higher scores for some process and experiential outcomes. Large variations in management performance indicate the need to strengthen management practices to help realize the full potential of PHC in improving health outcomes.

PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity.

High-performing primary health care (PHC) is essential for achieving universal health coverage. However, in many countries, PHC is weak and unable to deliver on its potential. Improvement is often limited by a lack of actionable data to inform policies and set priorities. To address this gap, the Primary Health Care Performance Initiative (PHCPI) was formed to strengthen measurement of PHC in low-income and middle-income countries in order to accelerate improvement. PHCPI's Vital Signs Profile was designed to provide a comprehensive snapshot of the performance of a country's PHC system, yet quantitative information about PHC systems' capacity to deliver high-quality, effective care was limited by the scarcity of existing data sources and metrics. To systematically measure the capacity of PHC systems, PHCPI developed the PHC Progression Model, a rubric-based mixed-methods assessment tool. The PHC Progression Model is completed through a participatory process by in-country teams and subsequently reviewed by PHCPI to validate results and ensure consistency across countries. In 2018, PHCPI partnered with five countries to pilot the tool and found that it was feasible to implement with fidelity, produced valid results, and was highly acceptable and useful to stakeholders. Pilot results showed that both the participatory assessment process and resulting findings yielded novel and actionable insights into PHC strengths and weaknesses. Based on these positive early results, PHCPI will support expansion of the PHC Progression Model to additional countries to systematically and comprehensively measure PHC system capacity in order to identify and prioritise targeted improvement efforts.

Empanelment: A foundational component of primary health care.

Empanelment is a foundational strategy for building or improving primary health care systems and a critical pathway for achieving effective universal health coverage. However, there is little international guidance for defining empanelment or understanding how to implement empanelment systems in low- and middle-income countries. To fill this gap, a multi-country collaborative within the Joint Learning Network for Universal Health Coverage developed this empanelment overview, proposing a people-centered definition of empanelment that reflects the responsibility to proactively deliver primary care services to all individuals in a target population. This document, building on existing literature on empanelment and representing input from 10 countries, establishes standard concepts of empanelment and describes why and how empanelment is used. Finally, it identifies key domains that may influence effective empanelment and that must be considered in deciding how empanelment can be implemented. This document is designed to be a useful resource for health policymakers, planners and decision-makers in ministries of health, as well as front line providers of primary care service delivery who are working to ensure quality people-centered primary care to everyone everywhere.