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Objective: The Mexican government has pursued multiple initiatives to improve healthcare coverage and financial protection. Yet, out-of-pocket health spending and use of private sector providers in Mexico remains high. In this paper, we sought to describe the characteristics of public and private healthcare users, describe recent visit quality across provider types, and to assess whether perceiving the public healthcare sector as poor quality is associated with private health sector use. Methods and findings: We analyzed the cross-sectional People's Voice Survey conducted from December 2022 to January 2023. We used Chi-square tests to compare contextual, individual, and need-for-care factors and ratings of most recent visits between users of public (social security and other public providers) and private sector providers (stand-alone private providers and providers adjacent to pharmacies). We used a multivariable Poisson regression model to assess associations between low ratings of public healthcare sources and the use of private care. Among the 811 respondents with a healthcare visit in the past year, 31.2% used private sources. Private healthcare users were more educated and had higher incomes than public healthcare users. Quality of most recent visit was rated more highly in private providers (70.2% rating the visit as excellent or very good for stand-alone private providers and 54.3% for pharmacy-adjacent doctors) compared to social security (41.6%) and other public providers (46.6%). Those who perceived public health institutions as low quality had a higher probability of seeking private healthcare. Conclusion: Users rated public care visits poorly relative to private care; at the population level, perceptions of poor quality care may drive private care use and hence out-of-pocket costs. Improving public healthcare quality is necessary to ensure universal health coverage. [ABSTRACT FROM AUTHOR]

Introduction: Continuity of care is an attribute of high-quality health systems and a necessary component of chronic disease management. Assessment of health information systems for HIV care in South Africa has identified substantial rates of clinic transfer, much of it undocumented. Understanding the reasons for changing sources of care and the implications for patient outcomes is important in informing policy responses. Methods: In this secondary analysis of the 2014 – 2016 I-Care trial, we examined self-reported changes in source of HIV care among a cohort of individuals living with HIV and in care in North West Province, South Africa. Individuals were enrolled in the study within 1 year of diagnosis; participants completed surveys at 6 and 12 months including items on sources of care. Clinical data were extracted from records at participants’ original clinic for 12 months following enrollment. We assessed frequency and reason for changing clinics and compared the demographics and care outcomes of those changing and not changing source of care. Results: Six hundred seventy-five (89.8%) of 752 study participants completed follow-up surveys with information on sources of HIV care; 101 (15%) reported receiving care at a different facility by month 12 of follow-up. The primary reason for changing was mobility (N=78, 77%). Those who changed clinics were more likely to be young adults, non-citizens, and pregnant at time of diagnosis. Self-reported clinic attendance and ART adherence did not differ based on changing clinics. Those on ART not changing clinics reported 0.66 visits more on average than were documented in clinic records. Conclusion: At least 1 in 6 participants in HIV care changed clinics within 2 years of diagnosis, mainly driven by mobility; while most appeared lost to follow-up based on records from the original clinic, self-reported visits and adherence were equivalent to those not changing clinics. Routine clinic visits could incorporate questions about care at other locations as well as potential relocation, particularly for younger, pregnant, and non-citizen patients, to support existing efforts to make HIV care records portable and facilitate continuity of care across clinics. Trial registration: The original trial was registered with , NCT02417233, on 12 December 2014. [ABSTRACT FROM AUTHOR]

Over 600,000 newborns in India died in their first month of life in 2017 despite large increases in access to maternal health services. We assess whether maternal and newborn health system quality in India is adequate for institutional delivery to reduce neonatal mortality. We identified recent births from the cross-sectional 2015–2016 National Family Health Survey and used reported content of antenatal care and immediate postpartum care averaged at the district level to characterize health system quality for maternity and newborn services. We used random effect logistic models to assess the relationship between institutional delivery and neonatal (death within the first 28 days of life) and early neonatal (death within 7 days of live births) mortality by quintile of district maternal and newborn health system quality. Three quarters of 191,963 births were in health facilities; 2% of newborns died within 28 days. District-level quality scores ranged from 40 to 90% of expected interventions. Institutional delivery was not protective against newborn mortality in the districts with poorest health system quality, but was associated with decreased mortality in districts with higher quality. Predicted neonatal mortality in the highest quintile of quality would be 0.018 (95% CI 0.010, 0.026) for home delivery and 0.010 (0.007, 0.013) for institutional delivery. Measurement of quality is limited by lack of data on quality of acute and referral care. Institutional delivery is associated with meaningful survival gains where quality of maternity services is higher. Addressing health system quality is an essential element of achieving the promise of increased access to maternal health services. [ABSTRACT FROM AUTHOR]

Over 600,000 newborns in India died in their first month of life in 2017 despite large increases in access to maternal health services. We assess whether maternal and newborn health system quality in India is adequate for institutional delivery to reduce neonatal mortality. We identified recent births from the cross-sectional 2015–2016 National Family Health Survey and used reported content of antenatal care and immediate postpartum care averaged at the district level to characterize health system quality for maternity and newborn services. We used random effect logistic models to assess the relationship between institutional delivery and neonatal (death within the first 28 days of life) and early neonatal (death within 7 days of live births) mortality by quintile of district maternal and newborn health system quality. Three quarters of 191,963 births were in health facilities; 2% of newborns died within 28 days. District-level quality scores ranged from 40 to 90% of expected interventions. Institutional delivery was not protective against newborn mortality in the districts with poorest health system quality, but was associated with decreased mortality in districts with higher quality. Predicted neonatal mortality in the highest quintile of quality would be 0.018 (95% CI 0.010, 0.026) for home delivery and 0.010 (0.007, 0.013) for institutional delivery. Measurement of quality is limited by lack of data on quality of acute and referral care. Institutional delivery is associated with meaningful survival gains where quality of maternity services is higher. Addressing health system quality is an essential element of achieving the promise of increased access to maternal health services. [ABSTRACT FROM AUTHOR]

Objective: High‐quality healthcare is essential to ensuring maternal and newborn survival. Efficient measurement requires knowing how long measures of quality provide consistent insight for intended uses. Methods: We used a repeated health facility assessment in Senegal to calculate structural and process quality of antenatal care (ANC), delivery and child health services in facilities assessed 2 years apart. We tested agreement of quality measures within facilities and regions. We estimated how much input‐adjusted and process quality‐adjusted coverage measures changed for each service when calculated using quality measurements from the same facilities measured 2 years apart. Results: Over 6 waves of continuous surveys, 628 paired assessments were completed. Changes at the facility level were substantial and often positive, but inconsistent. Structural quality measures were moderately correlated (0.40–0.69) within facilities over time, more so in hospitals; correlation was <0.20 for process measures based on direct observation of ANC and child visits. Most measures were more strongly correlated once averaged to regions; process quality of child services was not (−0.32). Median relative difference in national‐adjusted coverage estimates was 6.0%; differences in subnational estimates were largest for process quality of child services (19.6%). Conclusion: Continuous measures of structural quality demonstrated consistency at regional levels and in higher level facilities over 2 years; results for process measures were mixed. Direct observation of child visits provided inconsistent measures over time. For other measures, linking population data with health facility assessments from up to 2 years prior is likely to introduce modest measurement error in adjusted coverage estimates. [ABSTRACT FROM AUTHOR]

Background: Appropriate clinical management of malaria in children is critical for preventing progression to severe disease and for reducing the continued high burden of malaria mortality. This study aimed to assess the quality of care provided to children under 5 diagnosed with malaria across 9 sub-Saharan African countries.Methods and Findings: We used data from the Service Provision Assessment (SPA) survey. SPAs are nationally representative facility surveys capturing quality of sick-child care, facility readiness, and provider and patient characteristics. The data set contained 24,756 direct clinical observations of outpatient sick-child visits across 9 countries, including Uganda (2007), Rwanda (2007), Namibia (2009), Kenya (2010), Malawi (2013), Senegal (2013-2017), Ethiopia (2014), Tanzania (2015), and Democratic Republic of the Congo (2018). We assessed the proportion of children with a malaria diagnosis who received a blood test diagnosis and an appropriate antimalarial. We used multilevel logistic regression to assess facility and provider and patient characteristics associated with these outcomes. Subgroup analyses with the 2013-2018 country surveys only were conducted for all outcomes. Children observed were on average 20.5 months old and were most commonly diagnosed with respiratory infection (47.7%), malaria (29.7%), and/or gastrointestinal infection (19.7%). Among the 7,340 children with a malaria diagnosis, 32.5% (95% CI: 30.3%-34.7%) received both a blood-test-based diagnosis and an appropriate antimalarial. The proportion of children with a blood test diagnosis and an appropriate antimalarial ranged from 3.4% to 57.1% across countries. In the more recent surveys (2013-2018), 40.7% (95% CI: 37.7%-43.6%) of children with a malaria diagnosis received both a blood test diagnosis and appropriate antimalarial. Roughly 20% of children diagnosed with malaria received no antimalarial at all, and nearly 10% received oral artemisinin monotherapy, which is not recommended because of concerns regarding parasite resistance. Receipt of a blood test diagnosis and appropriate antimalarial was positively correlated with being seen at a facility with diagnostic equipment in stock (adjusted OR 3.67; 95% CI: 2.72-4.95) and, in the 2013-2018 subsample, with being seen at a facility with Artemisinin Combination Therapies (ACTs) in stock (adjusted OR 1.60; 95% CI:1.04-2.46). However, even if all children diagnosed with malaria were seen by a trained provider at a facility with diagnostics and medicines in stock, only a predicted 37.2% (95% CI: 34.2%-40.1%) would have received a blood test and appropriate antimalarial (44.4% for the 2013-2018 subsample). Study limitations include the lack of confirmed malaria test results for most survey years, the inability to distinguish between a diagnosis of uncomplicated or severe malaria, the absence of other relevant indicators of quality of care including dosing and examinations, and that only 9 countries were studied.Conclusions: In this study, we found that a majority of children diagnosed with malaria across the 9 surveyed sub-Saharan African countries did not receive recommended care. Clinical management is positively correlated with the stocking of essential commodities and is somewhat improved in more recent years, but important quality gaps remain in the countries studied. Continued reductions in malaria mortality will require a bigger push toward quality improvements in clinical care. [ABSTRACT FROM AUTHOR]

Hannah Leslie and colleagues of the High-Quality Health Commission discuss in an Editorial the findings from their report that detail the improvements needed to prevent declines in individuals' health as the scope and quality of health systems increase. Patient-centered care at the population level, improved utility of research products, and innovative reporting tools to help guide the development of new methods are key to improved global healthcare. [ABSTRACT FROM AUTHOR]

Background: Further improvements in population health in low- and middle-income countries demand high-quality care to address an increasingly complex burden of disease. Health facility surveys provide an important but costly source of information on readiness to provide care. To improve the efficiency of health system measurement, we applied unsupervised machine learning methods to assess the performance of the service readiness index (SRI) defined by the World Health Organization and compared it to empirically derived indices. Methods: We drew data from nationally representative Service Provision Assessment surveys conducted in 10 countries between 2007 and 2015. We extracted 649 items in domains such as infrastructure, medication, and management to calculate an index using all available information and classified facilities into quintiles. We compared three approaches against the full item set: the SRI, a new index based on sequential backward selection, and an enriched SRI that added empirically selected items to the SRI. We evaluated index performance with a cross-validated kappa statistic comparing classification using the candidate index against the 649-item index. Results: 9238 facilities were assessed. The 49-item SRI performed poorly against the index using all 649 items, with a kappa value of 0.35. New empirically derived indices with 50 and 100 items captured much more information, with cross-validated kappa statistics of 0.71 and 0.80, respectively. Items varied across the indices and in sensitivity analyses. A 100-item enriched SRI reliably captured the information from the full index: 83% of the facilities were classified into correct quintiles of service readiness based on the full index. Conclusion: A facility readiness measure developed by global health experts performed poorly in capturing the totality of readiness information collected during facility surveys. Using a machine learning approach with sequential selection and cross-validation to identify the most informative items dramatically improved performance. Such approaches can make assessment of health facility readiness more efficient. Further improvements in measurement will require identification of external criteria—such as patient outcomes—to guide and validate measure development. [ABSTRACT FROM AUTHOR]

Background: Understanding how social contexts shape HIV risk will facilitate development of effective prevention responses. Social cohesion, the trust and connectedness experienced in communities, has been associated with improved sexual health and HIV-related outcomes, but little research has been conducted in high prevalence settings.Methods: We conducted population-based surveys with adults 18-49 in high HIV prevalence districts in Mpumalanga (n = 2057) and North West Province (n = 1044), South Africa. Community social cohesion scores were calculated among the 70 clusters. We used multilevel logistic regression stratified by gender to assess individual- and group-level associations between social cohesion and HIV-related behaviors: recent HIV testing, heavy alcohol use, and concurrent sexual partnerships.Results: Group-level cohesion was protective in Mpumalanga, where perceived social cohesion was higher. For each unit increase in group cohesion, the odds of heavy drinking among men were reduced by 40% (95%CI 0.25, 0.65); the odds of women reporting concurrent sexual partnerships were reduced by 45% (95%CI 0.19, 1.04; p = 0.06); and the odds of reporting recent HIV testing were 1.6 and 1.9 times higher in men and women, respectively.Conclusions: We identified potential health benefits of cohesion across three HIV-related health behaviors in one region with higher overall evidence of group cohesion. There may be a minimum level of cohesion required to yield positive health effects. [ABSTRACT FROM AUTHOR]

Background: It is increasingly apparent that access to healthcare without adequate quality of care is insufficient to improve population health outcomes. We assess whether the most commonly measured attribute of health facilities in low- and middle-income countries (LMICs)-the structural inputs to care-predicts the clinical quality of care provided to patients.Methods and Findings: Service Provision Assessments are nationally representative health facility surveys conducted by the Demographic and Health Survey Program with support from the US Agency for International Development. These surveys assess health system capacity in LMICs. We drew data from assessments conducted in 8 countries between 2007 and 2015: Haiti, Kenya, Malawi, Namibia, Rwanda, Senegal, Tanzania, and Uganda. The surveys included an audit of facility infrastructure and direct observation of family planning, antenatal care (ANC), sick-child care, and (in 2 countries) labor and delivery. To measure structural inputs, we constructed indices that measured World Health Organization-recommended amenities, equipment, and medications in each service. For clinical quality, we used data from direct observations of care to calculate providers' adherence to evidence-based care guidelines. We assessed the correlation between these metrics and used spline models to test for the presence of a minimum input threshold associated with good clinical quality. Inclusion criteria were met by 32,531 observations of care in 4,354 facilities. Facilities demonstrated moderate levels of infrastructure, ranging from 0.63 of 1 in sick-child care to 0.75 of 1 for family planning on average. Adherence to evidence-based guidelines was low, with an average of 37% adherence in sick-child care, 46% in family planning, 60% in labor and delivery, and 61% in ANC. Correlation between infrastructure and evidence-based care was low (median 0.20, range from -0.03 for family planning in Senegal to 0.40 for ANC in Tanzania). Facilities with similar infrastructure scores delivered care of widely varying quality in each service. We did not detect a minimum level of infrastructure that was reliably associated with higher quality of care delivered in any service. These findings rely on cross-sectional data, preventing assessment of relationships between structural inputs and clinical quality over time; measurement error may attenuate the estimated associations.Conclusion: Inputs to care are poorly correlated with provision of evidence-based care in these 4 clinical services. Healthcare workers in well-equipped facilities often provided poor care and vice versa. While it is important to have strong infrastructure, it should not be used as a measure of quality. Insight into health system quality requires measurement of processes and outcomes of care. [ABSTRACT FROM AUTHOR]

Objective To evaluate the service readiness of health facilities in Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Uganda and the United Republic of Tanzania. Methods Using existing data from service provision assessments of the health systems of the 10 study countries, we calculated a service readiness index for each of 8443 health facilities. This index represents the percentage availability of 50 items that the World Health Organization considers essential for providing health care. For our analysis we used 37-49 of the items on the list. We used linear regression to assess the independent explanatory power of four national and four facility-level characteristics on reported service readiness. Findings The mean values for the service readiness index were 77% for the 636 hospitals and 52% for the 7807 health centres/clinics. Deficiencies in medications and diagnostic capacity were particularly common. The readiness index varied more between hospitals and health centres/clinics in the same country than between them. There was weak correlation between national factors related to health financing and the readiness index. Conclusion Most health facilities in our study countries were insufficiently equipped to provide basic clinical care. If countries are to bolster health-system capacity towards achieving universal coverage, more attention needs to be given to within-country inequities. [ABSTRACT FROM AUTHOR]

Objective To develop a composite measure of primary care quality and apply it to Haiti's primary care system. Methods Using the Primary Health Care Performance Initiative's framework, we defined four domains of primary care service delivery: (i) accessible care; (ii) effective service delivery; (iii) management and organization; and (iv) primary care functions. We gave each primary care facility in Haiti a quality score for each domain and overall, with poor, fair and good quality indicated by scores of 0.00-0.49, 0.50-0.74 and 0.75-1.00, respectively. We quantified access and effective access to primary care as the proportions of the population within 5 km of any primary care facility and a good facility, respectively. Findings Of the 786 primary care facilities in Haiti in 2013, only 332 (43%) facilities were classified as good for accessible care. Fewer facilities were classified as good in the domains of effective service delivery (30; 4%), management and organization (91; 12%) and primary care functions (43; 5%). Although about 91% of the population lived within 5 km of a primary care facility, only an estimated 23% of the entire population -- including just 5% of the rural population -- had access to primary care of good quality. Conclusion Despite an extensive network of health facilities, a minority of Haitians had access to a primary care facility of good quality. Such facilities were especially scarce in rural areas. Similar systematic analyses of the quality of primary care could inform national efforts to strengthen health systems. [ABSTRACT FROM AUTHOR]

Background: Quality of healthcare is an important determinant of future progress in global health. However, the distributional aspects of quality of care have received inadequate attention. We assessed whether high quality maternal care is equitably distributed by (1) mapping the quality of maternal care in facilities located in poorer versus wealthier areas of Kenya; and (2) comparing the quality of maternal care available to Kenyans in and not in poverty. Methods: We assessed three measures of maternal care quality: facility infrastructure and clinical quality of antenatal care and delivery care, using indicators from the 2010 Kenya Service Provision Assessment (SPA), a standardized facility survey with direct observation of maternal care provision. We calculated poverty of the area served by antenatal or delivery care facilities using the Multidimensional Poverty Index. We used regression analyses and non-parametric tests to assess differences in maternal care quality in facilities located in more and less impoverished areas. We estimated effective coverage with a minimum standard of care for the full population and those in poverty. Results: A total of 564 facilities offering at least one maternal care service were included in this analysis. Quality of maternal care was low, particularly clinical quality of antenatal and delivery care, which averaged 0.52 and 0.58 out of 1 respectively, compared to 0.68 for structural inputs to care. Maternal healthcare quality varied by poverty level: at the facility level, all quality metrics were lowest for the most impoverished areas and increased significantly with greater wealth. Population access to a minimum standard (≥0.75 of 1.00) of quality maternal care was both low and inequitable: only 17% of all women and 8% of impoverished women had access to minimally adequate delivery care. Conclusion: The quality of maternal care is low in Kenya, and care available to the impoverished is significantly worse than that for the better off. To achieve the national targets of maternal and neonatal mortality reduction, policy initiatives need to tackle low quality of care, starting with high-poverty areas. [ABSTRACT FROM AUTHOR]

Background: Ending preventable newborn deaths is a global health priority, but efforts to improve coverage of maternal and newborn care have not yielded expected gains in infant survival in many settings. One possible explanation is poor quality of clinical care. We assess facility quality and estimate the association of facility quality with neonatal mortality in Malawi.Methods and Findings: Data on facility infrastructure as well as processes of routine and basic emergency obstetric care for all facilities in the country were obtained from 2013 Malawi Service Provision Assessment. Birth location and mortality for children born in the preceding two years were obtained from the 2013-2014 Millennium Development Goals Endline Survey. Facilities were classified as higher quality if they ranked in the top 25% of delivery facilities based on an index of 25 predefined quality indicators. To address risk selection (sicker mothers choosing or being referred to higher-quality facilities), we employed instrumental variable (IV) analysis to estimate the association of facility quality of care with neonatal mortality. We used the difference between distance to the nearest facility and distance to a higher-quality delivery facility as the instrument. Four hundred sixty-seven of the 540 delivery facilities in Malawi, including 134 rated as higher quality, were linked to births in the population survey. The difference between higher- and lower-quality facilities was most pronounced in indicators of basic emergency obstetric care procedures. Higher-quality facilities were located a median distance of 3.3 km further from women than the nearest delivery facility and were more likely to be in urban areas. Among the 6,686 neonates analyzed, the overall neonatal mortality rate was 17 per 1,000 live births. Delivery in a higher-quality facility (top 25%) was associated with a 2.3 percentage point lower newborn mortality (95% confidence interval [CI] -0.046, 0.000, p-value 0.047). These results imply a newborn mortality rate of 28 per 1,000 births at low-quality facilities and of 5 per 1,000 births at the top 25% of facilities, accounting for maternal and newborn characteristics. This estimate applies to newborns whose mothers would switch from a lower-quality to a higher-quality facility if one were more accessible. Although we did not find an indication of unmeasured associations between the instrument and outcome, this remains a potential limitation of IV analysis.Conclusions: Poor quality of delivery facilities is associated with higher risk of newborn mortality in Malawi. A shift in focus from increasing utilization of delivery facilities to improving their quality is needed if global targets for further reductions in newborn mortality are to be achieved. [ABSTRACT FROM AUTHOR]

In-service training courses and supportive supervision of health workers are among the most common interventions to improve the quality of health care in low- and middle-income countries. Despite extensive investment from donors, evaluations of the long-term effect of these two interventions are scarce. We used nationally representative surveys of health systems in seven countries in sub-Saharan Africa to examine the association of in-service training and supervision with provider quality in antenatal and sick child care. The results of our analysis showed that observed quality of care was poor, with fewer than half of evidence-based actions completed by health workers, on average. In-service training and supervision were associated with quality of sick child care; they were associated with quality of antenatal care only when provided jointly. All associations were modest--at most, improvements related to interventions were equivalent to 2 additional provider actions out of the 18-40 actions expected per visit. In-service training and supportive supervision as delivered were not sufficient to meaningfully improve the quality of care in these countries. Greater attention to the quality of health professional education and national health system performance will be required to provide the standard of health care that patients deserve. [ABSTRACT FROM AUTHOR]

Alcohol use contributes to morbidity and mortality in developing countries by increasing the risk of trauma and disease, including alcohol dependence. Limited research addresses determinants of alcohol use beyond the individual level in sub-Saharan Africa. We test the association of community collective efficacy and alcohol outlet density with young men's drinking in a cross-sectional, locally representative survey conducted in rural northeast South Africa. Informal social control and cohesion show protective associations with men's heavy drinking, while alcohol outlet density is associated with more potential problem drinking. These findings provide initial support for intervening at the community level to promote alcohol reduction. [ABSTRACT FROM AUTHOR]

Alcohol use contributes to morbidity and mortality in developing countries by increasing the risk of trauma and disease, including alcohol dependence. Limited research addresses determinants of alcohol use beyond the individual level in sub-Saharan Africa. We test the association of community collective efficacy and alcohol outlet density with young men's drinking in a cross-sectional, locally representative survey conducted in rural northeast South Africa. Informal social control and cohesion show protective associations with men's heavy drinking, while alcohol outlet density is associated with more potential problem drinking. These findings provide initial support for intervening at the community level to promote alcohol reduction. [ABSTRACT FROM AUTHOR]

Objective: To demonstrate the application of causal inference methods to observational data in the obstetrics and gynecology field, particularly causal modeling and semi-parametric estimation. Background: Human immunodeficiency virus (HIV)-positive women are at increased risk for cervical cancer and its treatable precursors. Determining whether potential risk factors such as hormonal contraception are true causes is critical for informing public health strategies as longevity increases among HIV-positive women in developing countries. Methods: We developed a causal model of the factors related to combined oral contraceptive (COC) use and cervical intraepithelial neoplasia 2 or greater (CIN2+) and modified the model to fit the observed data, drawn from women in a cervical cancer screening program at HIV clinics in Kenya. Assumptions required for substantiation of a causal relationship were assessed. We estimated the population-level association using semi-parametric methods: g-computation, inverse probability of treatment weighting, and targeted maximum likelihood estimation. Results: We identified 2 plausible causal paths from COC use to CIN2+: via HPV infection and via increased disease progression. Study data enabled estimation of the latter only with strong assumptions of no unmeasured confounding. Of 2,519 women under 50 screened per protocol, 219 (8.7%) were diagnosed with CIN2+. Marginal modeling suggested a 2.9% (95% confidence interval 0.1%, 6.9%) increase in prevalence of CIN2+ if all women under 50 were exposed to COC; the significance of this association was sensitive to method of estimation and exposure misclassification. Conclusion: Use of causal modeling enabled clear representation of the causal relationship of interest and the assumptions required to estimate that relationship from the observed data. Semi-parametric estimation methods provided flexibility and reduced reliance on correct model form. Although selected results suggest an increased prevalence of CIN2+ associated with COC, evidence is insufficient to conclude causality. Priority areas for future studies to better satisfy causal criteria are identified. [ABSTRACT FROM AUTHOR]

Background: Expanding coverage of primary healthcare services such as antenatal care and vaccinations is a global health priority; however, many Haitians do not utilize these services. One reason may be that the population avoids low quality health facilities. We examined how facility infrastructure and the quality of primary health care service delivery were associated with community utilization of primary health care services in Haiti.Methods: We constructed two composite measures of quality for all Haitian facilities using the 2013 Service Provision Assessment survey. We geographically linked population clusters from the Demographic and Health Surveys to nearby facilities offering primary health care services. We assessed the cross-sectional association between quality and utilization of four primary care services: antenatal care, postnatal care, vaccinations and sick child care, as well as one more complex service: facility delivery.Results: Facilities performed poorly on both measures of quality, scoring 0.55 and 0.58 out of 1 on infrastructure and service delivery quality respectively. In rural areas, utilization of several primary cares services (antenatal care, postnatal care, and vaccination) was associated with both infrastructure and quality of service delivery, with stronger associations for service delivery. Facility delivery was associated with infrastructure quality, and there was no association for sick child care. In urban areas, care utilization was not associated with either quality measure.Conclusions: Poor quality of care may deter utilization of beneficial primary health care services in rural areas of Haiti. Improving health service quality may offer an opportunity not only to improve health outcomes for patients, but also to expand coverage of key primary health care services. [ABSTRACT FROM AUTHOR]

Background: Antibiotic resistance is a major threat to global health. Although detailed information about antibiotic use in high-income countries is available, little is known regarding the use of antibiotics and cumulative exposure to antibiotics in low-income and middle-income countries (LMICs). We aimed to quantify antibiotic exposure in children younger than 5 years in LMICs.Methods: We did a cross-sectional study in sick children younger than 5 years who attended a health-care facility in eight LMICs (Haiti, Kenya, Malawi, Namibia, Nepal, Senegal, Tanzania, and Uganda) between May, 2006, and December, 2016. Demographic and Health Surveys were used to estimate the cumulative number of illnesses related to a fever or cough and the cumulative number of visits to a health-care facility because of these illnesses for each country. We also used clinical observation data from nationally representative health-care facility-based Service Provision Assessment (SPA) surveys to estimate the proportion of children who were prescribed an antibiotic during a visit to a health-care facility and the number of antibiotic prescriptions issued that were unrelated to fever or respiratory problems. By combining these estimates, and using bootstrap analysis to compute uncertainty intervals, we estimated cumulative antibiotic exposure in children from birth up to age 5 years in each LMIC.Findings: From SPA surveys, we identified 22 519 clinical observations of children younger than 5 years who visited a health-care facility because of an illness between July, 2007, and December, 2016. From DHS surveys, we identified 68 826 children younger than 5 years who visited a health-care facility between May, 2006, and November, 2016. 85·4% of health-care facility visits were related to either a fever or cough. Antibiotics were prescribed to 80·5% of children diagnosed with respiratory illness, 50·1% with diarrhoea, and 28·3% with malaria. The mean number of antibiotic prescriptions issued to children between birth and age 5 years across the eight LMICs was 24·5 (95% CI 22·6-26·7), ranging from 7·1 (6·3-7·9) in Senegal to 59·1 (54·1-64·6) in Uganda.Interpretation: Between birth and age 5 years, children in LMICs are prescribed a remarkably high number of antibiotics. A large proportion of these prescriptions appear to be unnecessary. National and local efforts to reduce unnecessary prescription of antibiotics to children would likely improve both patient wellbeing (in terms of preventing side-effects) and reduce the global threat of antimicrobial resistance.Funding: None. [ABSTRACT FROM AUTHOR]

Background: Despite the substantial attention to primary care (PC), few studies have addressed the relationship between patients' experience with PC and their health status in low-and middle-income countries. This study aimed to (1) test the association between overall patient-centered PC experience (OPCE) and self-rated health (SRH) and (2) identify specific features of patient-centered PC associated with better SRH (i.e., excellent or very good SRH) in 6 Latin American and Caribbean countries.Methods and Findings: We conducted a secondary analysis of a 2013 public opinion cross-sectional survey on perceptions and experiences with healthcare systems in Brazil, Colombia, El Salvador, Jamaica, Mexico, and Panama; the data were nationally representative for urban populations. We analyzed 9 features of patient-centered PC. We calculated OPCE score as the arithmetic mean of the PC features. OPCE score ranged from 0 to 1, where 0 meant that the participant did not have any of the 9 patient-centered PC experiences, while 1 meant that he/she reported having all these experiences. After testing for interaction on the additive scale, we analyzed countries pooled for aim 1, with an interaction term for Mexico, and each country separately for aim 2. We used multiple Poisson regression models double-weighted by survey and inverse probability weights to deal with the survey design and missing data. The study included 6,100 participants. The percentage of participants with excellent or very good SRH ranged from 29.5% in Mexico to 52.4% in Jamaica. OPCE was associated with reporting excellent or very good SRH in all countries: adjusting for socio-demographic and health covariates, patients with an OPCE score of 1 in Brazil, Colombia, El Salvador, Jamaica, and Panama were more likely to report excellent or very good SRH than those with a score of 0 (adjusted prevalence ratio [aPR] 1.61, 95% CI 1.37-1.90, p < 0.001); in Mexico, this association was even stronger (aPR 4.27, 95% CI 2.34-7.81, p < 0.001). The specific features of patient-centered PC associated with better SRH differed by country. The perception that PC providers solve most health problems was associated with excellent or very good SRH in Colombia (aPR 1.38, 95% CI 1.01-1.91, p = 0.046) and Jamaica (aPR 1.21, 95% CI 1.02-1.43, p = 0.030). Having a provider who knows relevant medical history was positively associated with better SRH in Mexico (aPR 1.47, 95% CI 1.03-2.12, p = 0.036) but was negatively associated with better SRH in Brazil (aPR 0.71, 95% CI 0.56-0.89, p = 0.003). Finally, easy contact with PC facility (Mexico: aPR 1.35, 95% CI 1.04-1.74, p = 0.023), coordination of care (Mexico: aPR 1.53, 95% CI 1.19-1.98, p = 0.001), and opportunity to ask questions (Brazil: aPR 1.42, 95% CI 1.11-1.83, p = 0.006) were each associated with better SRH. The main study limitation consists in the analysis being of cross-sectional data, which does not allow making causal inferences or identifying the direction of the association between the variables.Conclusions: Overall, a higher OPCE score was associated with better SRH in these 6 Latin American and Caribbean countries; associations between specific characteristics of patient-centered PC and SRH differed by country. The findings underscore the importance of high-quality, patient-centered PC as a path to improved population health. [ABSTRACT FROM AUTHOR]

Rationale Community mobilization approaches (CMAs) are increasingly becoming key components of health programming. However, CMAs have been ill defined and poorly evaluated, largely due to the lack of measurement tools to assess mobilization processes and impact. Objective We developed the Community Mobilization Measure (CMM), composed of a set of scales to measure mobilization domains hypothesized to operate at the community-level. The six domains include: shared concerns, critical consciousness, leadership, collective action, social cohesion, and organizations and networks. We also included the domain of social control to explore synergies with the related construct of collective efficacy. Method A survey instrument was developed and pilot tested, then revised and administered to 1181 young people, aged 18–35, in a community-based survey in rural South Africa. Item response modeling and exploratory factor analyses were conducted to assess model fit, dimensionality, reliability, and validity. Results Results indicate the seven-dimensional model, with linked domains but no higher order construct, fit the data best. Internal consistency reliability of the factors was strong, with ρ values ranging from 0.81 to 0.93. Six of seven scales were sufficiently correlated to represent linked concepts that comprise community mobilization; social control was less related to the other components. At the village level, CMM sub-scales were correlated with other metrics of village social capital and integrity, providing initial evidence of higher-level validity, however additional evaluation of the measure at the community-level is needed. Conclusion This is the first effort to develop and validate a comprehensive measure for community mobilization. The CMM was designed as an evaluation tool for health programming and should facilitate a more nuanced understanding of mechanisms of change associated with CM, ultimately making mobilizing approaches more effective. [ABSTRACT FROM AUTHOR]

Objective To determine the optimal strategy for cervical cancer screening in women with human immunodeficiency virus (HIV) infection by comparing two strategies: visual inspection of the cervix with acetic acid (VIA) and VIA followed immediately by visual inspection with Lugol's iodine (VIA/VILI) in women with a positive VIA result. Methods Data from a cervical cancer screening programme embedded in two HIV clinic sites in western Kenya were evaluated. Women at a central site underwent VIA, while women at a peripheral site underwent VIA/VILI. All women positive for cervical intraepithelial neoplasia grade 2 or worse (CIN 2+) on VIA and/or VILI had a confirmatory colposcopy, with a biopsy if necessary. Overall test positivity, positive predictive value (PPV) and the CIN 2+ detection rate were calculated for the two screening methods, with biopsy being the gold standard. Findings Between October 2007 and October 2010, 2338 women were screened with VIA and 1124 with VIA/VILI. In the VIA group, 26.4% of the women tested positive for CIN 2+; in the VIA/VILI group, 21.7% tested positive (P < 0.01). Histologically confirmed CIN 2+ was detected in 8.9% and 7.8% (P = 0.27) of women in the VIA and VIA/VILI groups, respectively. The PPV of VIA for biopsy-confirmed CIN 2+ in a single round of screening was 35.2%, compared with 38.2% for VIA/VILI (P = 0.41). Conclusion The absence of any differences between VIA and VIA/VILI in detection rates or PPV for CIN 2+ suggests that VIA, an easy testing procedure, can be used alone as a cervical cancer screening strategy in low-income settings. [ABSTRACT FROM AUTHOR]

Provision of high-quality HIV care is challenging, especially in rural primary care clinics in high HIV burden settings. We aimed to better understand the main challenges to quality HIV care provision and retention in antiretroviral treatment (ART) programs in rural South Africa from the health care providers' perspective. We conducted semi-structured qualitative interviews with 23 providers from nine rural clinics. Using thematic and framework analysis, we found that providers and patients face a set of complex and intertwined barriers at the structural, programmatic, and individual levels. More specifically, analyses revealed that their challenges are primarily structural (i.e., health system- and microeconomic context-specific) and programmatic (i.e., clinic- and provider-specific) in nature. We highlight the linkages that providers draw between the challenges they face, the motivation to do their job, the quality of the care they provide, and patients' dissatisfaction with the care they receive, all potentially resulting in poor retention in care. [ABSTRACT FROM AUTHOR]

Hannah Leslie and co-authors discuss priorities in individual countries for health system reform. [ABSTRACT FROM AUTHOR]

Objective: Describe content of clinical care for sick children in low-resource settings.Data Sources: Nationally representative health facility surveys in Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Tanzania, and Uganda from 2007 to 2015.Study Design: Clinical visits by sick children under 5 years were observed and caregivers interviewed. We describe duration and content of the care in the visit and estimate associations between increased content and caregiver knowledge and satisfaction.Principal Findings: The median duration of 15,444 observations was 8 minutes; providers performed 8.4 of a maximum 24 clinical actions per visit. Content of care was minimally greater for severely ill children. Each additional clinical action was associated with 2 percent higher caregiver knowledge.Conclusions: Consultations for children in nine lower-income countries are brief and limited. A greater number of clinical actions was associated with caregiver knowledge and satisfaction. [ABSTRACT FROM AUTHOR]

Objective To analyse factors affecting variations in the observed quality of antenatal and sick-child care in primary-care facilities in seven African countries. Methods We pooled nationally representative data from service provision assessment surveys of health facilities in Kenya, Malawi, Namibia, Rwanda, Senegal, Uganda and the United Republic of Tanzania (survey year range: 2006-2014). Based on World Health Organization protocols, we created indices of process quality for antenatal care (first visits) and for sick-child visits. We assessed national, facility, provider and patient factors that might explain variations in quality of care, using separate multilevel regression models of quality for each service. Findings Data were available for 2594 and 11 402 observations of clinical consultations for antenatal care and sick children, respectively. Overall, health-care providers performed a mean of 62.2% (interquartile range, IQR: 50.0 to 75.0) of eight recommended antenatal care actions and 54.5% (IQR: 33.3 to 66.7) of nine sick-child care actions at observed visits. Quality of antenatal care was higher in better-staffed and -equipped facilities and lower for physicians and clinical officers than nurses. Experienced providers and those in better-managed facilities provided higher quality sick-child care, with no differences between physicians and nurses or between better- and less-equipped clinics. Private facilities outperformed public facilities. Country differences were more influential in explaining variance in quality than all other factors combined. Conclusion The quality of two essential primary-care services for women and children was weak and varied across and within the countries. Analysis of reasons for variations in quality could identify strategies for improving care. [ABSTRACT FROM AUTHOR]

Background: HIV testing uptake in South Africa is below optimal levels. Community mobilization (CM) may increase and sustain demand for HIV testing, however, little rigorous evidence exists regarding the effect of CM interventions on HIV testing and the mechanisms of action. Methods: We implemented a theory-driven CM intervention in 11 of 22 randomly-selected villages in rural Mpumalanga Province. Cross-sectional surveys including a community mobilization measure were conducted before (n = 1181) and after (n = 1175) a 2-year intervention (2012-2014). We assessed community-level intervention effects on reported HIV testing using multilevel logistic models. We used structural equation models to explore individual-level effects, specifically whether intervention assignment and individual intervention exposure were associated with HIV testing through community mobilization. Results: Reported testing increased equally in both control and intervention sites: the intervention effect was null in primary analyses. However, the hypothesized pathway, CM, was associated with higher HIV testing in the intervention communities. Every standard deviation increase in village CM score was associated with increased odds of reported HIV testing in intervention village participants (odds ratio: 2.6, P = ,0.001) but not control village participants (odds ratio: 1.2, P = 0.53). Structural equation models demonstrate that the intervention affected HIV testing uptake through the individual intervention exposure received and higher personal mobilization scores. Conclusions: There was no evidence of community-wide gains in HIV testing due to the intervention. However, a significant intervention effect on HIV testing was noted in residents who were personally exposed to the intervention and who evidenced higher community mobilization. Research is needed to understand whether CM interventions can be diffused within communities over time. [ABSTRACT FROM AUTHOR]

Background: The clinical effects and potential benefits of nutrition supplementation interventions for persons living with HIV remain largely unreported, despite awareness of the multifaceted relationship between HIV infection and nutrition. We therefore examined descriptive characteristics and nutritional outcomes of the Food by Prescription (FBP) nutrition supplementation program in Nyanza Province, Kenya. Methods: Demographic, health, and anthropometric data were gathered from a retrospective cohort of 1,017 non-pregnant adult patients who enrolled into the FBP program at a Family AIDS Care and Education Services (FACES) site in Nyanza Province between July 2009 and July 2011. Our primary outcome was FBP treatment success defined as attainment of BMI>20, and we used Cox proportional hazards to assess socio-demographic and clinical correlates of FBP treatment success. Results: Mean body mass index was 16.4 upon enrollment into the FBP program. On average, FBP clients gained 2.01 kg in weight and 0.73 kg/m2 in BMI over follow-up (mean 100 days), with the greatest gains among the most severely undernourished (BMI <16) clients (p<0.001). Only 13.1% of clients attained a BMI>20, though 44.5% achieved a BMI increase ≥0.5. Greater BMI at baseline, younger age, male gender, and not requiring highly active antiretroviral therapy (HAART) were associated with a higher rate of attainment of BMI>20. Conclusion: This study reports significant gains in weight and BMI among patients enrolled in the FBP program, though only a minority of patients achieved stated programmatic goals of BMI>20. Future research should include well-designed prospective studies that examine retention, exit reasons, mortality outcomes, and long-term sustainability of nutrition supplementation programs for persons living with HIV. [ABSTRACT FROM AUTHOR]

HIV departments within Kenyan health facilities are usually better staffed and equipped than departments offering non-HIV services. Integration of HIV services into primary care may address this issue of skewed resource allocation. Between 2008 and 2010, we piloted a system of integrating HIV services into primary care in rural Kenya. Before integration, we conducted a survey among returning adults >18-year old attending the HIV clinic. We then integrated HIV and primary care services. Three and twelve months after integration, we administered the same questionnaires to a sample of returning adults attending the integrated clinic. Changes in patient responses were assessed using truncated linear regression and logistic regression. At 12 months after integration, respondents were more likely to be satisfied with reception services (adjusted odds ratio, aOR 2.71,95% CI 1.32-5.56), HIV education (aOR 3.28, 95% CI 1.92-6.83), and wait time (aOR 1.97 95% CI 1.03-3.76). Men's comfort with receiving care at an integrated clinic did not change (aOR = 0.46 95% CI 0.06-3.86). Women were more likely to express discomfort after integration (aOR 3.37 95% CI 1.33-8.52). Integration of HIV services into primary care services was associated with significant increases in patient satisfaction in certain domains, with no negative effect on satisfaction. [ABSTRACT FROM AUTHOR]