Estimating the Prevalence of over- and Under-Reporting in HIV Testing, Status and Treatment in Rural Northeast South Africa: A Comparison of a Survey and Clinic Records.

We assess the accuracy of self-reported testing, HIV status, and treatment responses compared to clinical records in Ehlanzeni District, South Africa. We linked a 2018 population-based survey of adults 18-49 years old with clinical data at local primary healthcare facilities from 2014 to 2018. We calculated self-reported testing, HIV status, and treatment, and triangulated findings with clinic record data. We adjusted testing estimates for known gaps in HIV test documentation. Of 2089 survey participants, 1657 used a study facility and were eligible for analysis. Half of men and 84% of women reported an HIV test in the past year. One third of reported tests could be confirmed in clinic data within 1 year and an additional 13% within 2 years; these fractions increased to 57% and 22% respectively limiting to participants with a verified clinic file. After accounting for gaps in clinic documentation, we found that prevalence of recent HIV testing was closer to 15% among men and 51% in women. Estimated prevalence of known HIV was 16.2% based on self-report vs. 27.6% with clinic documentation. Relative to clinical records among confirmed clinic users, self report of HIV testing and of current treatment were highly sensitive but non-specific (sensitivity 95.5% and 98.8%, specificity 24.2% and 16.1% respectively), while self report of HIV status was highly specific but not sensitive (sensitivity 53.0%, specificity 99.3%). While clinical records are imperfect, survey-based measures should be interpreted with caution in this rural South African setting.

Population Preferences for Primary Care Models for Hypertension in Karnataka, India.

Importance: Hypertension contributes to more than 1.6 million deaths annually in India, with many individuals being unaware they have the condition or receiving inadequate treatment. Policy initiatives to strengthen disease detection and management through primary care services in India are not currently informed by population preferences. Objective: To quantify population preferences for attributes of public primary care services for hypertension. Design, Setting, and Participants: This cross-sectional study involved administration of a household survey to a population-based sample of adults with hypertension in the Bengaluru Nagara district (Bengaluru City; urban setting) and the Kolar district (rural setting) in the state of Karnataka, India, from June 22 to July 27, 2021. A discrete choice experiment was designed in which participants selected preferred primary care clinic attributes from hypothetical alternatives. Eligible participants were 30 years or older with a previous diagnosis of hypertension or with measured diastolic blood pressure of 90 mm Hg or higher or systolic blood pressure of 140 mm Hg or higher. A total of 1422 of 1927 individuals (73.8%) consented to receive initial screening, and 1150 (80.9%) were eligible for participation, with 1085 (94.3%) of those eligible completing the survey. Main Outcomes and Measures: Relative preference for health care service attributes and preference class derived from respondents selecting a preferred clinic scenario from 8 sets of hypothetical comparisons based on wait time, staff courtesy, clinician type, carefulness of clinical assessment, and availability of free medication. Results: Among 1085 adult respondents with hypertension, the mean (SD) age was 54.4 (11.2) years; 573 participants (52.8%) identified as female, and 918 (84.6%) had a previous diagnosis of hypertension. Overall preferences were for careful clinical assessment and consistent availability of free medication; 3 of 5 latent classes prioritized 1 or both of these attributes, accounting for 85.1% of all respondents. However, the largest class (52.4% of respondents) had weak preferences distributed across all attributes (largest relative utility for careful clinical assessment: ß = 0.13; 95% CI, 0.06-0.20; 36.4% preference share). Two small classes had strong preferences; 1 class (5.4% of respondents) prioritized shorter wait time (85.1% preference share; utility, ß = -3.04; 95% CI, -4.94 to -1.14); the posterior probability of membership in this class was higher among urban vs rural respondents (mean [SD], 0.09 [0.26] vs 0.02 [0.13]). The other class (9.5% of respondents) prioritized seeing a physician (the term doctor was used in the survey) rather than a nurse (66.2% preference share; utility, ß = 4.01; 95% CI, 2.76-5.25); the posterior probability of membership in this class was greater among rural vs urban respondents (mean [SD], 0.17 [0.35] vs 0.02 [0.10]). Conclusions and Relevance: In this study, stated population preferences suggested that consistent medication availability and quality of clinical assessment should be prioritized in primary care services in Karnataka, India. The heterogeneity observed in population preferences supports considering additional models of care, such as fast-track medication dispensing to reduce wait times in urban settings and physician-led services in rural areas.

Prevalence, motivation, and outcomes of clinic transfer in a clinical cohort of people living with HIV in North West Province, South Africa.

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 ClinicalTrials.gov , NCT02417233, on 12 December 2014.

Understanding the factors that impact effective uptake and maintenance of HIV care programs in South African primary health care clinics.

BACKGROUND: There is an increasingly urgent gap in knowledge regarding the translation of effective HIV prevention and care programming into scaled clinical policy and practice. Challenges limiting the translation of efficacious programming into national policy include the paucity of proven efficacious programs that are reasonable for clinics to implement and the difficulty in moving a successful program from research trial to scaled programming. This study aims to bridge the divide between science and practice by exploring health care providers' views on what is needed to implement new HIV programs within existing HIV care. METHODS: We conducted 20 in-depth interviews with clinic managers and clinic program implementing staff and five key informant interviews with district health managers overseeing programming in the uMgungundlovu District of KwaZulu-Natal Province, South Africa. Qualitative data were analyzed using a template approach. A priori themes were used to construct templates of relevance, including current care context for HIV and past predictors of successful implementation. Data were coded and analyzed by these templates. RESULTS: Heath care providers identified three main factors that impact the integration of HIV programming into general clinical care: perceived benefits, resource availability, and clear communication. The perceived benefits of HIV programs hinged on the social validation of the program by early adopters. Wide program availability and improved convenience for providers and patients increased perceived benefit. Limited staffing capacity and a shortage of space were noted as resource constraints. Programs that specifically tackled these constraints through clinic decongestion were reported as being the most successful. Clear communication with all entities involved in clinic-based programs, some of which include external partners, was noted as central to maximizing program function and provider uptake. CONCLUSIONS: Amid the COVID-19 pandemic, new programs are continuously being developed for implementation at the primary health care level. A better understanding of the factors that facilitate and prevent programmatic success will improve public health outcomes. Implementation is likely to be most successful when programs capitalize on endorsements from early adopters, tackle resource constraints, and foster greater communication among partners responsible for implementation.

The road to recovery: an interrupted time series analysis of policy intervention to restore essential health services in Mexico during the COVID-19 pandemic.

Background: Recovery of health services disrupted by the COVID-19 pandemic represents a significant challenge in low- and middle-income countries. In April 2021, the Mexican Institute of Social Security (IMSS), which provides health care to 68.5 million people, launched the National Strategy for Health Services Recovery (Recovery policy). The study objective was to evaluate whether the Recovery policy addressed COVID-related declines in maternal, child health, and non-communicable diseases (NCDs) services. Methods: We analysed the data of 35 IMSS delegations from January 2019 to November 2021 on contraceptive visits, antenatal care consultations, deliveries, caesarean sections, sick children's consultations, child vaccination, breast and cervical cancer screening, diabetes and hypertension consultations, and control. We focused on the period before (April 2020 - March 2021) and during (April 2021 - November 2021) the Recovery policy and used an interrupted time series design and Poisson Generalized Estimating Equation models to estimate the association of this policy with service use and outcomes and change in their trends. Results: Despite the third wave of the pandemic in 2021, service utilization increased in the Recovery period, reaching (at minimum) 49% of pre-pandemic levels for sick children's consultations and (at maximum) 106% of pre-pandemic levels for breast cancer screenings. Evidence for the Recovery policy role was mixed: the policy was associated with increased facility deliveries (IRR = 1.15, 95%CI = 1.11-1.19) with a growing trend over time (IRR = 1.04, 95%CI = 1.03-1.05); antenatal care and child health services saw strong level effects but decrease over time. Additionally, the Recovery policy was associated with diabetes and hypertension control. Services recovery varied across delegations. Conclusions: Health service utilization and NCDs control demonstrated important gains in 2021, but evidence suggests the policy had inconsistent effects across services and decreasing impact over time. Further efforts to strengthen essential health services and ensure consistent recovery across delegations are warranted.

The association between institutional delivery and neonatal mortality based on the quality of maternal and newborn health system in India.

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.

Evaluating patient-reported outcome measures in Peru: a cross-sectional study of satisfaction and net promoter score using the 2016 EnSuSalud survey.

BACKGROUND: Patient-reported measures attempt to quantify the value health services provide to users. Satisfaction is a common summative measure, but often has limited utility in identifying poor quality care. We compared satisfaction and the net promoter score (NPS), which was developed to help businesses quantify consumer sentiment, in a nationally representative survey in Peru. We aimed to compare NPS and satisfaction as individual ratings of care, assess the relationship of patient-reported experience ratings to these outcome measures and consider the utility of these measures as indicators of facility performance based on reliability within facilities and capacity to discriminate between facilities. METHODS: We analysed the 2016 National Survey on User Satisfaction of Health Services, a cross-sectional outpatient exit survey. We assessed ratings by patient characteristics and compared the distributions of satisfaction and NPS categories. We tested the association of patient-reported experience measures with each outcome using multilevel ordinal logistic regression. We used intraclass correlation (ICC) from these models to predict minimum sample for reliable assessment and compared patient-reported experience measures in facilities with average satisfaction but below or above average NPS. RESULTS: 13 434 individuals rated services at 184 facilities. Satisfaction (74% satisfied) and NPS (17% reported at least 9 out of 10) were largely concordant within individuals but weakly correlated (0.37). Ratings varied by individual factors such as age and visit purpose. Most domains of patient-reported experience were associated with both outcomes. Adjusted ICC was higher for NPS (0.26 vs 0.11), requiring a minimum of 7 (vs 20) respondents for adequate reliability. Within the 70% of facilities classified as average based on satisfaction, NPS-based classification revealed systematic differences in patient-reported experience measures. CONCLUSION: While satisfaction and NPS were broadly similar at an individual level, this evidence suggests NPS may be useful for benchmarking facility performance as part of national efforts in Peru and throughout Latin America to identify deficits in health service quality.

Stability of healthcare quality measures for maternal and child services: Analysis of the continuous service provision assessment of health facilities in Senegal, 2012-2018.

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.

Development of measures for assessing mistreatment of women during facility-based childbirth based on labour observations.

INTRODUCTION: Mistreatment of women during childbirth is increasingly recognised as a significant issue globally. Research and programmatic efforts targeting this phenomenon have been limited by a lack of validated measurement tools. This study aimed to develop a set of concise, valid and reliable multidimensional measures for mistreatment using labour observations applicable across multiple settings. METHODS: Data from continuous labour observations of 1974 women in Nigeria (n=407), Ghana (n=912) and Guinea (n=655) were used from the cross-sectional WHO's multicountry study 'How women are treated during facility-based childbirth' (2016-2018). Exploratory factor analysis was conducted to develop a scale measuring interpersonal abuse. Two indexes were developed through a modified Organisation for Economic Co-operation and Development approach for generating composite indexes. Measures were evaluated for performance, validity and internal reliability. RESULTS: Three mistreatment measures were developed: a 7-item Interpersonal Abuse Scale, a 3-item Exams & Procedures Index and a 12-item Unsupportive Birth Environment Index. Factor analysis results showed a consistent unidimensional factor structure for the Interpersonal Abuse Scale in all three countries based on factor loadings and interitem correlations, indicating good structural construct validity. The scale had a reliability coefficient of 0.71 in Nigeria and approached 0.60 in Ghana and Guinea. Low correlations (Spearman correlation range: -0.06-0.19; p≥0.05) between mistreatment measures supported our decision to develop three separate measures. Predictive criterion validation yielded mixed results across countries. Both items within measures and measure scores were internally consistent across countries; each item co-occurred with other items in a measure, and scores consistently distinguished between 'high' and 'low' mistreatment levels. CONCLUSION: The set of concise, comprehensive multidimensional measures of mistreatment can be used in future research and quality improvement initiatives targeting mistreatment to quantify burden, identify risk factors and determine its impact on health and well-being outcomes. Further validation and reliability testing of the measures in other contexts is needed.

Understanding the Factors that Impact Effective Uptake and Integration of Health Programs in South African Primary Health Care Clinics.

Introduction : There is an increasingly urgent gap in knowledge regarding the translation of effective HIV prevention and care programming into scaled clinical policy and practice. Challenges limiting the translation of efficacious programming into national policy include both the paucity of proven efficacious programs that are reasonable for clinics to implement and the difficulty in moving a successful program from research trial to scaled programming. This study aims to bridge the divide between science and practice by exploring health care providers’ views on what is needed to integrate of HIV programming into clinic systems. Methods : We conducted 20 in-depth interviews with clinic managers and clinic program implementing staff and 5 key informant interviews with district health managers overseeing programming in the uMgungundlovu District of KwaZulu-Natal Province, South Africa. Qualitative data were analyzed using a template approach. A priori themes were used to construct templates of relevance including current care context for HIV and past predictors of successful implementation. Data were coded and analyzed in accordance with these templates. Results : Heath care providers identified three main factors that impact integration of HIV programming into general clinical care: perceived benefits, resource availability, and clear communication. The perceived benefits of HIV programs hinged on the social validation of the program by early adopters. Wide program availability and improved convenience for providers and patients increased perceived benefit. Limited staffing capacity and a shortage of space were noted as resource constraints. Programs that specifically tackled these constraints through, for example clinic decongestion, were reported as being the most successful. Clear communication with all entities involved in clinic-based programs, some of which include external partners, was noted as central to maximizing program function and provider uptake. Conclusions : Amid the COVID-19 pandemic, new programs are already being developed for implementation at the primary health care level. A better understanding of the factors which both facilitate and prevent programmatic success will improve public health outcomes. Implementation is likely to be most successful when programs capitalize on endorsements from early adopters, tackle resource constraints, and foster greater communication among partners responsible for implementation.

Methodological considerations for linking household and healthcare provider data for estimating effective coverage: a systematic review.

OBJECTIVE: To assess existing knowledge related to methodological considerations for linking population-based surveys and health facility data to generate effective coverage estimates. Effective coverage estimates the proportion of individuals in need of an intervention who receive it with sufficient quality to achieve health benefit. DESIGN: Systematic review of available literature. DATA SOURCES: Medline, Carolina Population Health Center and Demographic and Health Survey publications and handsearch of related or referenced works of all articles included in full text review. The search included publications from 1 January 2000 to 29 March 2021. ELIGIBILITY CRITERIA: Publications explicitly evaluating (1) the suitability of data, (2) the implications of the design of existing data sources and (3) the impact of choice of method for combining datasets to obtain linked coverage estimates. RESULTS: Of 3805 papers reviewed, 70 publications addressed relevant issues. Limited data suggest household surveys can be used to identify sources of care, but their validity in estimating intervention need was variable. Methods for collecting provider data and constructing quality indices were diverse and presented limitations. There was little empirical data supporting an association between structural, process and outcome quality. Few studies addressed the influence of the design of common data sources on linking analyses, including imprecise household geographical information system data, provider sampling design and estimate stability. The most consistent evidence suggested under certain conditions, combining data based on geographical proximity or administrative catchment (ecological linking) produced similar estimates to linking based on the specific provider utilised (exact match linking). CONCLUSIONS: Linking household and healthcare provider data can leverage existing data sources to generate more informative estimates of intervention coverage and care. However, existing evidence on methods for linking data for effective coverage estimation are variable and numerous methodological questions remain. There is need for additional research to develop evidence-based, standardised best practices for these analyses.

Health Care Providers' Challenges to High-Quality HIV Care and Antiretroviral Treatment Retention in Rural South Africa.

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.

Health care provider time in public primary care facilities in Lima, Peru: a cross-sectional time motion study.

BACKGROUND: In Peru, a majority of individuals bypass primary care facilities even for routine services. Efforts to strengthen primary care must be informed by understanding of current practice. We conducted a time motion assessment in primary care facilities in Lima with the goals of assessing the feasibility of this method in an urban health care setting in Latin America and of providing policy makers with empirical evidence on the use of health care provider time in primary care. METHODS: This cross-sectional continuous observation time motion study took place from July - September 2019. We used two-stage sampling to draw a sample of shifts for doctors, nurses, and midwives in primary health facilities and applied the Work Observation Method by Activity Timing tool to capture type and duration of provider activities over a 6-h shift. We summarized time spent on patient care, paper and electronic record-keeping, and non-work (personal and inactive) activities across provider cadres. Observations are weighted by inverse probability of selection. RESULTS: Two hundred seventy-five providers were sampled from 60 facilities; 20% could not be observed due to provider absence (2% schedule error, 8% schedule change, 10% failure to appear). One hundred seventy-four of the 220 identified providers consented (79.1%) and were observed for a total of 898 h of provider time comprising 30,312 unique tasks. Outpatient shifts included substantial time on patient interaction (110, 82, and 130 min for doctors, nurses, and midwives respectively) and on paper records (132, 97, and 141 min) on average. Across all shifts, 1 in 6 h was spent inactive or on personal activities. Two thirds of midwives used computers compared to half of nurses and one third of doctors. CONCLUSIONS: The time motion study is a feasible method to capture primary care operations in Latin American countries and inform health system strengthening. In the case of Lima, absenteeism undermines health worker availability in primary care facilities, and inactive time further erodes health workforce availability. Productive time is divided between patient-facing activities and a substantial burden of paper-based record keeping for clinical and administrative purposes. Electronic health records remain incompletely integrated within routine care, particularly beyond midwifery.

Effective coverage of nutrition interventions across the continuum of care in Bangladesh: insights from nationwide cross-sectional household and health facility surveys.

INTRODUCTION: Improving the impact of nutrition interventions requires adequate measurement of both reach and quality of interventions, but limited evidence exists on advancing coverage measurement. We adjusted contact-based coverage estimates, taking into consideration the inputs required to deliver quality nutrition services, to calculate input-adjusted coverage of nutrition interventions across the continuum of care from pregnancy through early childhood in Bangladesh. METHODS: We used data from the 2014 Bangladesh Demographic and Health Surveys to assess use of maternal and child health services and the 2014 Service Provision Assessment to determine facility readiness to deliver nutrition interventions. Service readiness captured availability of nutrition-specific inputs (including human resources and training, equipment, diagnostics and medicines). Contact coverage was combined with service readiness to create a measure of input-adjusted coverage at the national and regional levels, across place of residence, and by maternal education and household socioeconomic quintiles. RESULTS: Contact coverage varied from 28% for attending at least four ANC visits to 38% for institutional delivery, 35% for child growth monitoring and 81% for sick child care. Facilities demonstrated incomplete readiness for nutrition interventions, ranging from 48% to 51% across services. Nutrition input-adjusted coverage was suboptimal (18% for ANC, 23% for institutional delivery, 20% for child growth monitoring and 52% for sick child care) and varied between regions within the country. Inequalities in input-adjusted coverage were large during ANC and institutional delivery (14-17 percentage points (pp) between urban and rural areas, 15 pp between low and high education, and 28-34 pp between highest and lowest wealth quintiles) and less variable for sick child care (<2 pp). CONCLUSION: Nutrition input-adjusted coverage was suboptimal and varied subnationally and across the continuum of care in Bangladesh. Special efforts are needed to improve the reach as well as the quality of health and nutrition services to achieve the Sustainable Development Goals.

Providers' definitions of quality and barriers to providing quality care: a qualitative study in rural Mpumalanga Province, South Africa.

Background: South Africa requires high-quality primary health care (PHC) to retain patients and optimize outcomes. While prior research has identified implementation challenges within the PHC system, there is less understanding of how providers define quality, their perceptions of barriers to providing quality care, and how they overcome these barriers. This study assesses provider views on quality at primary care clinics in a rural sub-district of Mpumalanga Province. Methods: We conducted in-depth interviews with providers in early 2019 on the value of quality metrics for providers and patients, what indicators they would use to assess clinic performance, and barriers and facilitators of delivering care. Interviews were conducted in Shangaan, audio-recorded, and translated into English. A deductive approach was used to develop a provisional coding schema, which was then refined using an inductive approach in response to patterns and themes emerging from the data. Results: Twenty-three providers were interviewed (83% female, 65% professional nurses). Providers did not give a single standard definition of quality care. Clinic structure and resources emerged as a key issue, as providers linked deficiencies in infrastructure and support to deficits in care delivery. Providers identified mitigating strategies including informal coordination across clinics to address medication and equipment shortages. Common across the providers' discussion was poor communication between the district, PHC supervisors, and implementers at the facility level. Conclusion: Providers connected deficits in quality of care to inadequate infrastructure and insufficient support from district and provincial authorities; mitigating strategies across clinics could only partially address these deficits. The existence of a national quality measurement program was not broadly reflected in providers' views on quality care. These findings underscore the need for effective district and national approaches to support individual facilities, accompanied by feedback methods designed with input from frontline service providers.

Disruption in essential health services in Mexico during COVID-19: an interrupted time series analysis of health information system data.

INTRODUCTION: The COVID-19 pandemic has disrupted health systems around the world. The objectives of this study are to estimate the overall effect of the pandemic on essential health service use and outcomes in Mexico, describe observed and predicted trends in services over 24 months, and to estimate the number of visits lost through December 2020. METHODS: We used health information system data for January 2019 to December 2020 from the Mexican Institute of Social Security (IMSS), which provides health services for more than half of Mexico's population-65 million people. Our analysis includes nine indicators of service use and three outcome indicators for reproductive, maternal and child health and non-communicable disease services. We used an interrupted time series design and linear generalised estimating equation models to estimate the change in service use and outcomes from April to December 2020. Estimates were expressed using average marginal effects on the risk ratio scale. RESULTS: The study found that across nine health services, an estimated 8.74 million patient visits were lost in Mexico. This included a decline of over two thirds for breast and cervical cancer screenings (79% and 68%, respectively), over half for sick child visits and female contraceptive services, approximately one-third for childhood vaccinations, diabetes, hypertension and antenatal care consultations, and a decline of 10% for deliveries performed at IMSS. In terms of patient outcomes, the proportion of patients with diabetes and hypertension with controlled conditions declined by 22% and 17%, respectively. Caesarean section rate did not change. CONCLUSION: Significant disruptions in health services show that the pandemic has strained the resilience of the Mexican health system and calls for urgent efforts to resume essential services and plan for catching up on missed preventive care even as the COVID-19 crisis continues in Mexico.

Measuring Organizational Readiness for Implementing Change in Primary Care Facilities in Rural Bushbuckridge, South Africa.

Meaningful gains in health outcomes require successful implementation of evidence-based interventions. Organizations such as health facilities must be ready to implement efficacious interventions, but tools to measure organizational readiness have rarely been validated outside of high-income settings. We conducted a pilot study of the organizational readiness to implement change (ORIC) measure in public primary care facilities serving Bushbuckridge Municipality in South Africa in early 2019. We administered the 10-item ORIC to 54 nurses and lay counsellors in 9 facilities to gauge readiness to implement the national Central Chronic Medicine Dispensing and Distribution (CCMDD) programme intended to declutter busy health facilities. We used exploratory factor analysis (EFA) to identify factor structure. We used Cronbach alpha and intraclass correlation (ICC) to assess reliability at the individual and facility levels. To assess validity, we drew on existing data from routine clinic monitoring and a 2018 quality assessment to test the correlation of ORIC with facility resources, value of CCMDD programme, and better programme uptake and service quality. Six items from the ORIC loaded onto a single factor with Cronbach's alpha of 0.82 and ICC of 0.23. While facility ORIC score was not correlated with implementation of CCMDD, higher scores were correlated with facility resources, perceived value of the CCMDD program, patient satisfaction with wait time, and greater linkage to care following positive HIV testing. The study is limited by measuring ORIC after programme implementation. The findings support the relevance of ORIC, but identify a need for greater adaptation and validation of the measure.

Quality of clinical management of children diagnosed with malaria: A cross-sectional assessment in 9 sub-Saharan African countries between 2007-2018.

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.

Quality of clinical assessment and child mortality: a three-country cross-sectional study.

This analysis describes specific gaps in the quality of health care in Central Africa and assesses the association between quality of clinical care and mortality at age 2-59 months. Regionally representative facility and household surveys for the Democratic Republic of the Congo, Cameroon and Central African Republic were collected between 2012 and 2016. These data are novel in linking facilities with households in their catchment area. Compliance with diagnostic and danger sign protocols during sick-child visits was observed by trained assessors. We computed facility- and district-level compliance indicators for patients aged 2-59 months and used multivariate multi-level logistic regression models to estimate the association between clinical assessment quality and mortality at age 2-59 months in the catchment areas of the observed facilities. A total of 13 618 live births were analysed and 1818 sick-child visits were directly observed and used to rate 643 facilities. Eight percent of observed visits complied with 80% of basic diagnostic protocols, and 13% of visits fully adhered to select general danger sign protocols. A 10% greater compliance with diagnostic protocols was associated with a 14.1% (adjusted odds ratio (aOR) 95% CI: 0.025-0.244) reduction in the odds of mortality at age 2-59 months; a 10% greater compliance with select general danger sign protocols was associated with a 15.3% (aOR 95% CI: 0.058-0.237) reduction in the same odds. The results of this article suggest that compliance with recommended clinical protocols remains poor in many settings and improvements in mortality at age 2-59 months could be possible if compliance were improved.