ABSTRACT
Global campaigns to control HIV, tuberculosis, malaria, and vaccine-preventable illnesses showed that large-scale impact can be achieved by using additional international financing to support selected, evidence-based, high-impact investment areas and to catalyse domestic resource mobilisation. Building on this paradigm, we make the case for targeting additional international funding for selected high-impact investments in primary health care. We have identified and costed a set of concrete, evidence-based investments that donors could support, which would be expected to have major impacts at an affordable cost. These investments are in: (1) individuals and communities empowered to engage in health decision making, (2) a new model of people-centred primary care, and (3) next generation community health workers. These three areas would be supported by strengthening two cross-cutting elements of national systems. The first is the digital tools and data that support facility, district, and national managers to improve processes, quality of care, and accountability across primary health care. The second is the educational, training, and supervisory systems needed to improve the quality of care. We estimate that with an additional international investment of between US$1·87 billion in a low-investment scenario and $3·85 billion in a high-investment scenario annually over the next 3 years, the international community could support the scale-up of this evidence-based package of investments in the 59 low-income and middle-income countries that are eligible for external financing from the World Bank Group's International Development Association.
Subject(s)
Global Health , Primary Health Care , Humans , Costs and Cost Analysis , Catalysis , Developing CountriesABSTRACT
BACKGROUND: Life expectancy initially improves rapidly with economic development but then tails off. Yet, at any level of economic development, some countries do better, and some worse, than expected - they either punch above or below their weight. Why this is the case has been previously researched but no full explanation of the complexity of this phenomenon is available. NEW RESEARCH NETWORK: In order to advance understanding, the newly formed Punching Above Their Weight Research Network has developed a model to frame future research. It provides for consideration of the following influences within a country: political and institutional context and history; economic and social policies; scope for democratic participation; extent of health promoting policies affecting socio-economic inequities; gender roles and power dynamics; the extent of civil society activity and disease burdens. CONCLUSION: Further research using this framework has considerable potential to advance effective policies to advance health and equity.
Subject(s)
Delivery of Health Care/legislation & jurisprudence , Delivery of Health Care/organization & administration , Health Equity/legislation & jurisprudence , Health Equity/organization & administration , Health Policy , Life Expectancy , HumansABSTRACT
OBJECTIVE: Public health interventions are often implemented at large scale, and their evaluation seems to be difficult because they are usually multiple and their pathways to effect are complex and subject to modification by contextual factors. We assessed whether controlling for rainfall-related variables altered estimates of the efficacy of a health programme in rural Rwanda and have a quantifiable effect on an intervention evaluation outcomes. METHODS: We conducted a retrospective quasi-experimental study using previously collected cross-sectional data from the 2005 and 2010 Rwanda Demographic and Health Surveys (DHS), 2010 DHS oversampled data, monthly rainfall data collected from meteorological stations over the same period, and modelled output of long-term rainfall averages, soil moisture, and rain water run-off. Difference-in-difference models were used. RESULTS: Rainfall factors confounded the PIH intervention impact evaluation. When we adjusted our estimates of programme effect by controlling for a variety of rainfall variables, several effectiveness estimates changed by 10% or more. The analyses that did not adjust for rainfall-related variables underestimated the intervention effect on the prevalence of ARI by 14.3%, fever by 52.4% and stunting by 10.2%. Conversely, the unadjusted analysis overestimated the intervention's effect on diarrhoea by 56.5% and wasting by 80%. CONCLUSION: Rainfall-related patterns have a quantifiable effect on programme evaluation results and highlighted the importance and complexity of controlling for contextual factors in quasi-experimental design evaluations.
Subject(s)
Child Health , Confounding Factors, Epidemiologic , Health Services/standards , Outcome Assessment, Health Care , Public Health , Quality of Health Care , Rain , Adolescent , Adult , Child , Cross-Sectional Studies , Demography , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Program Evaluation , Retrospective Studies , Rural Population , Rwanda , Seasons , Young AdultABSTRACT
BACKGROUND: Diarrhea among children under 5 years of age has long been a major public health concern. Previous studies have suggested an association between rainfall and diarrhea. Here, we examined the association between Rwandan rainfall patterns and childhood diarrhea and the impact of household sanitation variables on this relationship. METHODS: We derived a series of rain-related variables in Rwanda based on daily rainfall measurements and hydrological models built from daily precipitation measurements collected between 2009 and 2011. Using these data and the 2010 Rwanda Demographic and Health Survey database, we measured the association between total monthly rainfall, monthly rainfall intensity, runoff water and anomalous rainfall and the occurrence of diarrhea in children under 5 years of age. RESULTS: Among the 8601 children under 5 years of age included in the survey, 13.2 % reported having diarrhea within the 2 weeks prior to the survey. We found that higher levels of runoff were protective against diarrhea compared to low levels among children who lived in households with unimproved toilet facilities (OR = 0.54, 95 % CI: [0.34, 0.87] for moderate runoff and OR = 0.50, 95 % CI: [0.29, 0.86] for high runoff) but had no impact among children in household with improved toilets. CONCLUSION: Our finding that children in households with unimproved toilets were less likely to report diarrhea during periods of high runoff highlights the vulnerabilities of those living without adequate sanitation to the negative health impacts of environmental events.
Subject(s)
Child Health , Diarrhea , Rain , Toilet Facilities , Water , Adult , Child, Preschool , Demography , Diarrhea/epidemiology , Family Characteristics , Female , Health Surveys , Humans , Infant , Male , Public Health , Rwanda/epidemiology , Sanitation , Toilet Facilities/standardsABSTRACT
More than 20 countries in Africa are scaling up performance-based financing (PBF), but its impact on equity in access to health services remains to be documented. This paper draws on evidence from Rwanda to examine the capacity of PBF to ensure equal access to key health interventions especially in rural areas where most of the poor live. Specifically, it focuses on maternal and child health services, distinguishing two wealth groups, and uses data from a rigorous impact evaluation. Difference-in-difference technique is used, and different model specifications are tested: control for unobserved heterogeneity and common random error using linear probability model, seemingly unrelated regression equations, and clustering and fixed effects. Results suggest that in Rwanda, PBF improved efficiency rather than equity for most health services. We find that PBF achieved efficiency gains by improving access to health services for those easier to reach, generally the relatively more affluent. It turns out to be less effective in reaching the poorest. Our results illustrate the advantages of rigorous randomized impact evaluation data as results published earlier using a nationally representative survey (Demographic and Health Survey) were not able to capture the pro-rich nature of the PBF scheme in Rwanda. Our paper advocates for building mechanisms targeting the vulnerable groups in PBF strategies. It also highlights the need to understand the impact of PBF together with the specific development of health insurance coverage and the organization of the health system.
Subject(s)
Child Health Services/organization & administration , Maternal Health Services/organization & administration , Reimbursement, Incentive , Rural Health Services/organization & administration , Child , Child Health Services/economics , Child Health Services/standards , Health Services Accessibility/economics , Health Services Accessibility/organization & administration , Humans , Maternal Health Services/economics , Maternal Health Services/standards , Poverty , Program Evaluation , Reimbursement, Incentive/economics , Reimbursement, Incentive/organization & administration , Rural Health Services/economics , Rural Health Services/standards , RwandaABSTRACT
BACKGROUND: Performance-based financing (PBF) strategies are promoted as a supply-side, results-based financing mechanism to improve primary health care. This study estimated the effects of Rwanda's PBF program on less-incentivized child health services and examined the differential program impact by household poverty. METHODS: Districts were allocated to intervention and comparison for PBF implementation in Rwanda. Using Demographic Health Survey data from 2005 to 2007-08, a community-level panel dataset of 5781 children less than 5 years of age from intervention and comparison districts was created. The impacts of PBF on reported childhood illness, facility care-seeking, and treatment received were estimated using a difference-in-differences model with community fixed effects. An interaction term between poverty and the program was estimated to identify the differential effect of PBF among children from poorer families. RESULTS: There was no measurable difference in estimated probability of reporting illness with diarrhea, fever or acute respiratory infections between the intervention and comparison groups. Seeking care at a facility for these illnesses increased over time, however no differential effect by PBF was seen. The estimated effect of PBF on receipt of treatment for poor children is 45 percentage points higher (p = 0.047) compared to the non-poor children seeking care for diarrhea or fever. CONCLUSIONS: PBF, a supply-side incentive program, improved the quality of treatment received by poor children conditional on patients seeking care, but it did not impact the propensity to seek care. These findings provide additional evidence that PBF incentivizes the critical role staff play in assuring quality services, but does little to influence consumer demand for these services. Efforts to improve child health need to address both supply and demand, with additional attention to barriers due to poverty if equity in service use is a concern.
Subject(s)
Child Health Services/economics , Financing, Government , Patient Acceptance of Health Care , Primary Health Care/economics , Reimbursement, Incentive , Acute Disease , Adult , Child , Child, Preschool , Diarrhea , Female , Fever , Health Surveys , Humans , Male , Poverty , Rwanda , Young AdultABSTRACT
Community health workers (CHWs) collect data for routine services, surveys and research in their communities. However, quality of these data is largely unknown. Utilizing poor quality data can result in inefficient resource use, misinformation about system gaps, and poor program management and effectiveness. This study aims to measure CHW data accuracy, defined as agreement between household registers compared to household member interview and client records in one district in Eastern province, Rwanda. We used cluster-lot quality assurance sampling to randomly sample six CHWs per cell and six households per CHW. We classified cells as having 'poor' or 'good' accuracy for household registers for five indicators, calculating point estimates of percent of households with accurate data by health center. We evaluated 204 CHW registers and 1,224 households for accuracy across 34 cells in southern Kayonza. Point estimates across health centers ranged from 79 to 100% for individual indicators and 61 to 72% for the composite indicator. Recording error appeared random for all but the widely under-reported number of women on modern family planning method. Overall, accuracy was largely 'good' across cells, with varying results by indicator. Program managers should identify optimum thresholds for 'good' data quality and interventions to reach them according to data use. Decreasing variability and improving quality will facilitate potential of these routinely-collected data to be more meaningful for community health program management. We encourage further studies assessing CHW data quality and the impact training, supervision and other strategies have on improving it.
Subject(s)
Community Health Workers/organization & administration , Data Collection/standards , Family , Needs Assessment/standards , Public Health Surveillance/methods , Adolescent , Adult , Child, Preschool , Community Health Centers/statistics & numerical data , Community Health Workers/standards , Family Planning Services/statistics & numerical data , Female , Humans , Infant , Infant, Newborn , Lot Quality Assurance Sampling , Male , Middle Aged , Rwanda , Young AdultABSTRACT
BACKGROUND: We report levels and determinants of attrition in Rwanda, one of the few African countries with universal ART access. METHODS: We analyzed data abstracted from health facility records of a nationally representative sample of adults [≥ 18 years] who initiated ART 6, 12, and 18 months prior to data collection; and collected facility characteristics with a health facility assessment questionnaire. Weighted proportions and rates of attrition [loss to follow-up or death] were calculated, and patient- and health facility-level factors associated with attrition examined using Cox proportional hazard models. RESULTS: 1678 adults initiated ART 6, 12 and 18 months prior to data collection, with 1508 person-years [PY] on ART. Attrition was 6.8% [95% confidence interval [CI] 6.0-7.8]: 2.9% [2.4-3.5] recorded deaths and 3.9% [3.4-4.5] lost to follow-up. Population attrition rate was 7.5/100 PY [6.1-9.3]. Adjusted hazard ratio [aHR] for attrition was 4.2 [3.0-5.7] among adults enrolled from in-patient wards [vs 2.2 [1.6-3.0] from PMTCT, ref: VCT]. Compared to adults who initiated ART 18 months earlier, aHR for adults who initiated ART 12 and 6 months earlier was 1.8 [1.3-2.5] and 1.3 [0.9-1.9] respectively. Male aHR was 1.4 [1.0-1.8]. AHR of adults enrolled at urban health facilities was 1.4 [1.1-1.8, ref: rural health facilities]. AHR for adults with CD4+ ≥ 200 cells/µL vs <200 cells/µL was 0.8 [0.6-1.0]; and adults attending facilities with performance-based financing since 2004-2006 [vs. 2007-2008] had aHR 0.8 [0.6-0.9]. CONCLUSIONS: Attrition was low in the Rwandan national program. The above patient and facility correlates of attrition can be the focus of interventions to sustain high retention.
Subject(s)
Anti-HIV Agents/therapeutic use , HIV Infections/drug therapy , Health Services Accessibility , Adolescent , Adult , Africa , CD4 Lymphocyte Count , Female , HIV Infections/mortality , Health Facilities , Humans , Lost to Follow-Up , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies , Rural Population , Rwanda/epidemiology , Urban Population , Young AdultABSTRACT
BACKGROUND: Integrated into the work in health systems strengthening (HSS) is a growing focus on the importance of ensuring quality of the services delivered and systems which support them. Understanding how to define and measure quality in the different key World Health Organization building blocks is critical to providing the information needed to address gaps and identify models for replication. DESCRIPTION OF APPROACHES: We describe the approaches to defining and improving quality across the five country programs funded through the Doris Duke Charitable Foundation African Health Initiative. While each program has independently developed and implemented country-specific approaches to strengthening health systems, they all included quality of services and systems as a core principle. We describe the differences and similarities across the programs in defining and improving quality as an embedded process essential for HSS to achieve the goal of improved population health. The programs measured quality across most or all of the six WHO building blocks, with specific areas of overlap in improving quality falling into four main categories: 1) defining and measuring quality; 2) ensuring data quality, and building capacity for data use for decision making and response to quality measurements; 3) strengthened supportive supervision and/or mentoring; and 4) operational research to understand the factors associated with observed variation in quality. CONCLUSIONS: Learning the value and challenges of these approaches to measuring and improving quality across the key components of HSS as the projects continue their work will help inform similar efforts both now and in the future to ensure quality across the critical components of a health system and the impact on population health.
Subject(s)
Delivery of Health Care/standards , Quality Improvement/organization & administration , Africa , Capacity Building , Goals , Information Management , Mentors , Program Development , Quality Improvement/economics , Quality Indicators, Health Care , VaccinesABSTRACT
BACKGROUND: Nationally, health in Rwanda has been improving since 2000, with considerable improvement since 2005. Despite improvements, rural areas continue to lag behind urban sectors with regard to key health outcomes. Partners In Health (PIH) has been supporting the Rwanda Ministry of Health (MOH) in two rural districts in Rwanda since 2005. Since 2009, the MOH and PIH have spearheaded a health systems strengthening (HSS) intervention in these districts as part of the Rwanda Population Health Implementation and Training (PHIT) Partnership. The partnership is guided by the belief that HSS interventions should be comprehensive, integrated, responsive to local conditions, and address health care access, cost, and quality. The PHIT Partnership represents a collaboration between the MOH and PIH, with support from the National University of Rwanda School of Public Health, the National Institute of Statistics, Harvard Medical School, and Brigham and Women's Hospital. DESCRIPTION OF INTERVENTION: The PHIT Partnership's health systems support aligns with the World Health Organization's six health systems building blocks. HSS activities focus across all levels of the health system - community, health center, hospital, and district leadership - to improve health care access, quality, delivery, and health outcomes. Interventions are concentrated on three main areas: targeted support for health facilities, quality improvement initiatives, and a strengthened network of community health workers. EVALUATION DESIGN: The impact of activities will be assessed using population-level outcomes data collected through oversampling of the demographic and health survey (DHS) in the intervention districts. The overall impact evaluation is complemented by an analysis of trends in facility health care utilization. A comprehensive costing project captures the total expenditures and financial inputs of the health care system to determine the cost of systems improvement. Targeted evaluations and operational research pieces focus on specific programmatic components, supported by partnership-supported work to build in-country research capacity. DISCUSSION: Building on early successes, the work of the Rwanda PHIT Partnership approach to HSS has already seen noticeable increases in facility capacity and quality of care. The rigorous planned evaluation of the Partnership's HSS activities will contribute to global knowledge about intervention methodology, cost, and population health impact.
Subject(s)
Community Networks , Delivery of Health Care, Integrated/standards , Quality Improvement/organization & administration , Adolescent , Adult , Delivery of Health Care, Integrated/economics , Female , Humans , Male , Middle Aged , Outcome Assessment, Health Care , Program Development , Rural Health Services , Rwanda , Young AdultABSTRACT
BACKGROUND: Evidence about the best methods with which to accelerate progress towards achieving the Millennium Development Goals is urgently needed. We assessed the effect of performance-based payment of health-care providers (payment for performance; P4P) on use and quality of child and maternal care services in health-care facilities in Rwanda. METHODS: 166 facilities were randomly assigned at the district level either to begin P4P funding between June, 2006, and October, 2006 (intervention group; n=80), or to continue with the traditional input-based funding until 23 months after study baseline (control group; n=86). Randomisation was done by coin toss. We surveyed facilities and 2158 households at baseline and after 23 months. The main outcome measures were prenatal care visits and institutional deliveries, quality of prenatal care, and child preventive care visits and immunisation. We isolated the incentive effect from the resource effect by increasing comparison facilities' input-based budgets by the average P4P payments made to the treatment facilities. We estimated a multivariate regression specification of the difference-in-difference model in which an individual's outcome is regressed against a dummy variable, indicating whether the facility received P4P that year, a facility-fixed effect, a year indicator, and a series of individual and household characteristics. FINDINGS: Our model estimated that facilities in the intervention group had a 23% increase in the number of institutional deliveries and increases in the number of preventive care visits by children aged 23 months or younger (56%) and aged between 24 months and 59 months (132%). No improvements were seen in the number of women completing four prenatal care visits or of children receiving full immunisation schedules. We also estimate an increase of 0·157 standard deviations (95% CI 0·026-0·289) in prenatal quality as measured by compliance with Rwandan prenatal care clinical practice guidelines. INTERPRETATION: The P4P scheme in Rwanda had the greatest effect on those services that had the highest payment rates and needed the least effort from the service provider. P4P financial performance incentives can improve both the use and quality of maternal and child health services, and could be a useful intervention to accelerate progress towards Millennium Development Goals for maternal and child health. FUNDING: World Bank's Bank-Netherlands Partnership Program and Spanish Impact Evaluation Fund, the British Economic and Social Research Council, Government of Rwanda, and Global Development Network.
Subject(s)
Child Health Services , Developing Countries , Maternal Health Services , Quality of Health Care , Reimbursement, Incentive , Adult , Child Health Services/economics , Child Health Services/statistics & numerical data , Child, Preschool , Delivery, Obstetric/economics , Delivery, Obstetric/statistics & numerical data , Female , Health Facilities/economics , Health Facilities/statistics & numerical data , Humans , Infant , Maternal Health Services/economics , Maternal Health Services/statistics & numerical data , Outcome Assessment, Health Care , Pregnancy , Prenatal Care , Preventive Health Services/economics , Preventive Health Services/statistics & numerical data , Quality Indicators, Health Care , RwandaABSTRACT
From 2000 to 2010, Rwanda implemented comprehensive health sector reforms to strengthen the public health system, with the aim of reducing maternal and newborn deaths in line with Millennium Development Goal 5, among many other improvements in national health. Based on a systematic review of the literature, national policy documents and three Demographic & Health Surveys (2000, 2005 and 2010), this paper describes the reforms and the policies they were based on, and provides data on the extent of Rwanda's progress in expanding the coverage of four key women's health services. Progress took place in 2000-2005 and became more rapid after 2006, mostly in rural areas, when the national facility-based childbirth policy, performance-based financing, and community-based health insurance were scaled up. Between 2006 and 2010, the following increases in coverage took place as compared to 2000-2005, particularly in rural areas, where most poor women live: births with skilled attendance (77% increase vs. 26%), institutional delivery (146% increase vs. 8%), and contraceptive prevalence (351% increase vs. 150%). The primary factors in these improvements were increases in the health workforce and their skills, performance-based financing, community-based health insurance, and better leadership and governance. Further research is needed to determine the impact of these changes on health outcomes in women and children.
Subject(s)
Health Care Reform/organization & administration , Health Services Accessibility/organization & administration , Maternal Health Services/organization & administration , Public Health Administration/methods , Contraception/statistics & numerical data , Developing Countries , Female , Financing, Government , Health Policy , Health Services Accessibility/economics , Health Workforce/organization & administration , Humans , Maternal Health Services/economics , Residence Characteristics , RwandaABSTRACT
PURPOSE: To relate the intuitive weight of harm by commission and harm by omission in therapeutic decisions for pulmonary tuberculosis, and to compare it with a weight based on probabilities. METHODS: Clinicians were asked for an estimation of probabilities related with the outcome of treated and nontreated pulmonary tuberculosis and for the toll of wrong decisions. Three ratios of the weight of forgoing a treatment in false-negative patients against the weight of treating false-positives were calculated. The first was based on intuitive estimations, whereas the second and third were based on calculated, either through intuitive estimations of probabilities or through literature data. The association between experience and the difference between the intuitive and the calculated ratios was assessed. RESULTS: Eighty-one participants from Ecuador, Laos, Nepal, and Rwanda responded. The ratio of intuitive weights was 2.0 (interquartile range [IQR], 1.0-4.0) and the ratio of calculated weights based on intuitive probabilities was 64 (IQR, 25.0-169.6; P < 0.001). The ratio of calculated weight based on literature probabilities was 30 (IQR, 17.9-59.2). No association (R(2) = 0.03) was found between experience and accuracy in estimating the weight of errors. CONCLUSION: The weight of a false negative is more important than the weight of a false positive for therapeutic decisions in pulmonary tuberculosis. The ratio of the intuitively estimated weights was much lower than the calculation based on intuitively estimated influencing factors. Clinicians were accurate in estimating probabilities but failed to incorporate them into therapeutic decisions.
Subject(s)
Decision Making , Tuberculosis, Pulmonary/drug therapy , False Negative Reactions , Humans , ProbabilityABSTRACT
PURPOSE: The diagnosis of tuberculosis remains controversial between clinicians and public health officers. Public health officials fear to treat too many patients; clinicians fear that truly diseased will be denied treatment. We wondered whether an analysis of the treatment threshold could help making the often intuitive decision to treat smear-negative cases more evidence based. METHODS: Eighteen clinicians and 10 public health specialists were asked for an intuitive estimate of their treatment threshold for tuberculosis and of key determinant factors for this threshold: the magnitude and subjective weight of mortality and morbidity due to both the disease and the treatment and risk and cost of the latter. With these factors, the authors calculated treatment thresholds and compared them to the intuitive thresholds of the interviewees. A prescriptive threshold was calculated based on literature data, omitting cost and subjective factors. RESULTS: The median overall intuitive treatment threshold was 52.5%, the calculated 11.9%, and the prescriptive 2.7%. For 2 factors, public health officers provided significantly lower values than clinicians: cost of treatment (median = 20 dollars v. 300 dollars; U = 2.5; P = 0.0002); cost of life (median = 500 dollars v. 5000 dollars; U = 17.5; P = 0.009). CONCLUSION: These results suggest that clinicians and public health officers estimate wrongly the threshold even when using their own subjective estimate of influencing factors. Omitting treatment cost and subjective weight of provoked harm can result in a very low threshold. Sound training in threshold principles and providing tools to correctly assess data might help in making better decisions in tuberculosis in developing countries.
Subject(s)
Tuberculosis/drug therapy , Health Care Costs , Humans , Rwanda , Sputum/microbiology , Tuberculosis/economicsABSTRACT
BACKGROUND: Evaluations of health systems strengthening (HSS) interventions using observational data are rarely used for causal inference due to limited data availability. Routinely collected national data allow use of quasi-experimental designs such as interrupted time series (ITS). Rwanda has invested in a robust electronic health management information system (HMIS) that captures monthly healthcare utilization data. We used ITS to evaluate impact of an HSS intervention to improve primary health care facility readiness on health service utilization in two rural districts of Rwanda. METHODS: We used controlled ITS analysis to compare changes in healthcare utilization at health centers (HC) that received the intervention (n = 13) to propensity score matched non-intervention health centers in Rwanda (n = 86) from January 2008 to December 2012. HC support included infrastructure renovation, salary support, medical equipment, referral network strengthening, and clinical training. Baseline quarterly mean outpatient visit rates and population density were used to model propensity scores. The intervention began in May 2010 and was implemented over a twelve-month period. We used monthly healthcare utilization data from the national Rwandan HMIS to study changes in the (1) number of facility deliveries per 10,000 women, (2) number of referrals for high risk pregnancy per 100,000 women, and (3) the number of outpatient visits performed per 1,000 catchment population. RESULTS: PHIT HC experienced significantly higher monthly delivery rates post-HSS during the April-June season than comparison (3.19/10,000, 95% CI: [0.27, 6.10]). In 2010, this represented a 13% relative increase, and in 2011, this represented a 23% relative increase. The post-HSS change in monthly rate of high-risk pregnancies referred increased slightly in intervention compared to control HC (0.03/10,000, 95% CI: [-0.007, 0.06]). There was a small immediate post-HSS increase in outpatient visit rates in intervention compared to control HC (6.64/1,000, 95% CI: [-13.52, 26.81]). CONCLUSION: We failed to find strong evidence of post-HSS increases in outpatient visit rates or referral rates at health centers, which could be explained by small sample size and high baseline nation-wide health service coverage. However, our findings demonstrate that high quality routinely collected health facility data combined with ITS can be used for rigorous policy evaluation in resource-limited settings.
Subject(s)
Health Facilities , Interrupted Time Series Analysis , Patient Acceptance of Health Care , Primary Health Care/organization & administration , Rural Health Services/organization & administration , Electronic Health Records , Female , Health Resources , Health Services Research , Humans , Least-Squares Analysis , Outpatients , Pregnancy , Pregnancy, High-Risk , Prenatal Care/organization & administration , Rwanda , Sample Size , Social SupportABSTRACT
By the end of 2014, an estimated 8.5 million men had undergone voluntary medical male circumcision (VMMC) for HIV prevention in 14 priority countries in eastern and southern Africa, representing more than 40% of the global target. However, demand, especially among men most at risk for HIV infection, remains a barrier to realizing the program's full scale and potential impact. We analyzed current demand generation interventions for VMMC by reviewing the available literature and reporting on field visits to programs in 7 priority countries. We present our findings and recommendations using a framework with 4 components: insight development; intervention design; implementation and coordination to achieve scale; and measurement, learning, and evaluation. Most program strategies lacked comprehensive insight development; formative research usually comprised general acceptability studies. Demand generation interventions varied across the countries, from advocacy with community leaders and community mobilization to use of interpersonal communication, mid- and mass media, and new technologies. Some shortcomings in intervention design included using general instead of tailored messaging, focusing solely on the HIV preventive benefits of VMMC, and rolling out individual interventions to address specific barriers rather than a holistic package. Interventions have often been scaled-up without first being evaluated for effectiveness and cost-effectiveness. We recommend national programs create coordinated demand generation interventions, based on insights from multiple disciplines, tailored to the needs and aspirations of defined subsets of the target population, rather than focused exclusively on HIV prevention goals. Programs should implement a comprehensive intervention package with multiple messages and channels, strengthened through continuous monitoring. These insights may be broadly applicable to other programs where voluntary behavior change is essential to achieving public health benefits.
Subject(s)
Circumcision, Male , HIV Infections/prevention & control , Patient Acceptance of Health Care , Voluntary Programs , Africa, Eastern , Africa, Southern , Cost-Benefit Analysis , Health Services Needs and Demand , Humans , Male , National Health Programs , Public Health , Sexual BehaviorABSTRACT
BACKGROUND: While Rwanda has achieved impressive gains in contraceptive coverage, unmet need for family planning is high, and barriers to accessing quality reproductive health services remain. Few studies in Rwanda have qualitatively investigated factors that contribute to family planning use, barriers to care, and quality of services from the community perspective. METHODS: We undertook a qualitative study of community perceptions of reproductive health and family planning in Rwanda's southern Kayonza district, which has the country's highest total fertility rate. From October 2011 to December 2012, we conducted interviews with randomly selected male and female community members (nâ=â96), community health workers (nâ=â48), and health facility nurses (nâ=â15), representing all 8 health centers' catchment areas in the overall catchment area of the district's Rwinkwavu Hospital. We then carried out a directed content analysis to identify key themes and triangulate findings across methods and informant groups. RESULTS: Key themes emerged across interviews surrounding: (1) fertility beliefs: participants recognized the benefits of family planning but often desired larger families for cultural and historical reasons; (2) social pressures and gender roles: young and unmarried women faced significant stigma and husbands exerted decision-making power, but many husbands did not have a good understanding of family planning because they perceived it as a woman's matter; (3) barriers to accessing high-quality services: out-of-pocket costs, stock-outs, limited method choice, and long waiting times but short consultations at facilities were common complaints; (4) side effects: poor management and rumors and fears of side effects affected contraceptive use. These themes recurred throughout many participant narratives and influenced reproductive health decision making, including enrollment and retention in family planning programs. CONCLUSIONS: As Rwanda continues to refine its family planning policies and programs, it will be critical to address community perceptions around fertility and desired family size, health worker shortages, and stock-outs, as well as to engage men and boys, improve training and mentorship of health workers to provide quality services, and clarify and enforce national policies about payment for services at the local level.