Patients Living With Arterial Hypertension in Mexico: First Insights of The Mexican Registry of Arterial Hypertension (RIHTA Study)

BACKGROUND

Arterial hypertension is a significant cause of morbidity and mortality in Mexico. However, there is limited evidence to understand blood pressure management and cardiometabolic profiles. Here, we aim to assess the prevalence of controlled and uncontrolled blood pressure, as well as the prevalence of cardiometabolic risk factors among patients from the Mexican Registry of Arterial Hypertension (RIHTA).

METHODS

We conducted a cross-sectional analysis of participants living with arterial hypertension registered on RIHTA between December 2021 and April 2023. We used both the 2017 ACC/AHA and 2018 ESC/ESH thresholds to define controlled and uncontrolled arterial hypertension. We considered eleven cardiometabolic risk factors, which include overweight, obesity, central obesity, insulin resistance, diabetes, hypercholesterolemia, hypertriglyceridemia, low HDL-C, high LDL-C, low-eGFR, and high cardiovascular disease (CVD) risk.

RESULTS

In a sample of 5,590 participants (female: 61%, n = 3,393; median age: 64 [IQR: 56-72] years), the prevalence of uncontrolled hypertension varied significantly, depending on the definition (2017 ACC/AHA: 59.9%, 95% CI: 58.6-61.2 and 2018 ESC/ESH: 20.1%, 95% CI: 19.0-21.2). In the sample, 40.43% exhibited at least 5-6 risk factors, and 32.4% had 3-4 risk factors, chiefly abdominal obesity (83.4%, 95% CI: 82.4-84.4), high LDL-C (59.6%, 95% CI: 58.3-60.9), high CVD risk (57.9%, 95% CI: 56.6-59.2), high triglycerides (56.2%, 95% CI: 54.9-57.5), and low HDL-C (42.2%, 95% CI: 40.9-43.5).

CONCLUSIONS

There is a high prevalence of uncontrolled hypertension interlinked with a high burden of cardiometabolic comorbidities in Mexican adults living with arterial hypertension, underscoring the urgent need for targeted interventions and better healthcare policies to reduce the burden of the disease in our country.

Effective coverage of newborn postnatal care in Ethiopia: Measuring inequality and spatial distribution of quality-adjusted coverage

Neonatal health is a significant global public health concern, and the first two days of life are crucial for newborn survival. Most studies on newborn postnatal care have focused on crude coverage measures, which limit the evaluation of care quality. However, evidence suggests a shift towards emphasising effective coverage, which incorporates the quality of care when measuring intervention coverage. This research aimed to assess the effective coverage of newborn postnatal care in Ethiopia while also examining its inequalities and spatial distribution. The study used secondary data from the 2016 Ethiopian Demographic and Health Survey, which was a cross-sectional community-based study. A total weighted sample of 4169 women was used for analyses. We calculated crude coverage, which is the proportion who received a postnatal check within 48 hours of birth and quality-adjusted coverage (effective coverage), which is the proportion who received a postnatal check within 48 hours of birth and reported receipt of 6 or more contents of care provided by health care providers. Concentration index and concentration curves were used to estimate the socioeconomic-related inequalities in quality-adjusted newborn postnatal care. The spatial statistic was analysed by using Arc-GIS. The crude coverage of newborn postnatal care was found to be 13.2%, while the effective coverage was 9%. High-quality postnatal care was disproportionately concentrated among the rich. A spatial variation was found in quality-adjusted coverage of newborn postnatal care across regions. The findings suggest that there is a significant gap in the coverage and quality of postnatal care for newborns across regions in Ethiopia. The low rates of coverage and effective coverage, combined with the concentration of high-quality care among the rich and the spatial variation across regions, highlight the need for targeted interventions and policies to address the inequalities in access to high-quality postnatal care for newborns.

Evaluation of effective coverage for type 2 diabetes in Mexican primary care health information systems: a retrospective registry analysis

BACKGROUND

As the leading cause of disability and the fourth leading cause of premature death in Mexico, type 2 diabetes (T2D) represents a serious public health concern. The incidence of diabetes has increased dramatically in recent years, and data from the Mexican National Health and Nutrition Survey (ENSANUT) indicate that many people remain undiagnosed. Persistent socioeconomic health care barriers exacerbate this situation, as T2D morbidity and mortality are worsened in vulnerable populations, such as those without social security. We evaluated the performance of public primary health centers (PHCs) in T2D medical attention through the measure of effective coverage (EC, a combined measure of health care need, use, and quality) at national, state, health jurisdiction, and municipality levels.

METHODS

This retrospective analysis used blinded data recorded during 2017 in the Non-communicable Diseases National Information System (SIC) and T2D prevalence reported in 2018 ENSANUT to evaluate the EC achieved. We included individuals ≥ 20 years old without social security who did not declare the use of private health care services. Each EC component (need, use, and quality) was estimated based on the Shengelia adapted framework. The Kruskal-Wallis test was applied to evaluate the associations among EC quintiles and demographics.

RESULTS

In 2017, 26.5 million individuals, aged ≥ 20 years, without social security, and without the use of private health care services, were under the care of 12,086 PHCs. The national prevalence of T2D was 10.3%, equivalent to 2.6 million people living with T2D in need of primary health care. Large contrasts were seen among EC components between and within Mexican states. We found that only 37.1% of the above individuals received health services at PHCs and of them, 25.8% improved their metabolic condition. The national EC was 9.3%, and the range (by health jurisdiction) was 0.2%-38.6%, representing a large geographic disparity in EC. We found an evident disconnect among need, utilization, and quality rates across the country.

CONCLUSIONS

Expansion and improvement of EC are urgently needed to address the growing number of people living with T2D in Mexico, particularly in states with vulnerable populations.

Effective coverage of diabetes and hypertension: an analysis of Thailand's national insurance database 2016-2019

OBJECTIVES

This study assesses effective coverage of diabetes and hypertension in Thailand during 2016-2019.

DESIGN

Mixed method, analysis of National health insurance database 2016-2019 and in-depth interviews.

SETTING

Beneficiaries of Universal Coverage Scheme residing outside Bangkok.

PARTICIPANTS

Quantitative analysis was performed by acquiring individual patient data of diabetes and hypertension cases in the Universal Coverage Scheme residing outside bangkok in 2016-2019. Qualitative analysis was conducted by in-depth interview of 85 multi-stakeholder key informants to identify challenges.

OUTCOMES

Estimate three indicators: detected need (diagnosed/total estimated cases), crude coverage (received health services/total estimated cases) and effective coverage (controlled/total estimated cases) were compared. Controlled diabetes was defined as haemoglobin A1C (HbA1C) below 7% and controlled hypertension as blood pressure below 140/90 mm Hg.

RESULTS

Estimated cases were 3.1-3.2 million for diabetes and 8.7-9.2 million for hypertension. For diabetes, all indicators have shown slow improvement between 2016 and 2019 (67.4%, 69.9%, 71.9% and 74.7% for detected need; 38.7%, 43.1%, 45.1% and 49.8% for crude coverage and 8.1%, 10.5%, 11.8% and 11.7% for effective coverage). For hypertension, the performance was poorer for detection (48.9%, 50.3%, 51.8% and 53.3%) and crude coverage (22.3%, 24.7%, 26.5% and 29.2%) but was better for effective coverage (11.3%, 13.2%, 15.1% and 15.7%) than diabetes. Results were better for the women and older age groups in both diseases. Complex interplays between supply and demand side were a key challenge. Database challenges also hamper regular assessment of effective coverage. Sensitivity analysis when using at least three annual visits shows slight improvement of effective coverage.

CONCLUSION

Effective coverage was low for both diseases, though improving in 2016-2019, especially among men and ัyounger populations. The increasing rate of effective coverage was significantly smaller than crude coverage. Health information systems limitation is a major barrier to comprehensive measurement. To maximise effective coverage, long-term actions should address primary prevention of non-communicable disease risk factors, while short-term actions focus on improving Chronic Care Model.

Universality of universal health coverage: A scoping review

BACKGROUND

The progress of Universal health coverage (UHC) is measured using tracer indicators of key interventions, which have been implemented in healthcare system. UHC is about population, comprehensive health services and financial coverage for equitable quality services and health outcome. There is dearth of evidence about the extent of the universality of UHC in terms of types of health services, its integrated definition (dimensions) and tracer indicators utilized in the measurement of UHC. Therefore, we mapped the existing literature to assess universality of UHC and summarize the challenges towards UHC.

METHODS

The checklist Preferred Reporting Items for Systematic reviews and Meta-analysis extension for Scoping Reviews was used. A systematic search was carried out in the Web of Science and PubMed databases. Hand searches were also conducted to find articles from Google Scholar, the World Bank Library, the World Health Organization Library, the United Nations Digital Library Collections, and Google. Article search date was between 20 October 2021 and 12 November 2021 and the most recent update was done on 03 March 2022. Articles on UHC coverage, financial risk protection, quality of care, and inequity were included. The Population, Concept, and Context framework was used to determine the eligibility of research questions. A stepwise approach was used to identify and select relevant studies, conduct data charting, collation and summarization, as well as report results. Simple descriptive statistics and narrative synthesis were used to present the findings.

RESULTS

Forty-seven papers were included in the final review. One-fourth of the articles (25.5%) were from the African region and 29.8% were from lower-middle-income countries. More than half of the articles (54.1%) followed a quantitative research approach. Of included articles, coverage was assessed by 53.2% of articles; financial risk protection by 27.7%, inequity by 25.5% and quality by 6.4% of the articles as the main research objectives or mentioned in result section. Most (42.5%) of articles investigated health promotion and 2.1% palliation and rehabilitation services. Policy and healthcare level and cross-cutting barriers of UHC were identified. Financing, leadership/governance, inequity, weak regulation and supervision mechanism, and poverty were most repeated policy level barriers. Poor quality health services and inadequate health workforce were the common barriers from health sector challenges. Lack of common understanding on UHC was frequently mentioned as a cross-cutting barrier.

CONCLUSIONS

The review showed that majority of the articles were from the African region. Methodologically, quantitative research design was more frequently used to investigate UHC. Palliation and rehabilitation health care services need attention in the monitoring and evaluation of UHC progress. It is also noteworthy to focus on quality and inequity of health services. The study implies that urgent action on the identified policy, health system and cross-cutting barriers is required to achieve UHC.

Evaluations of effective coverage of maternal and child health services: A systematic review

Conventionally used coverage measures do not reflect the quality of care. Effective coverage (EC) assesses the extent to which health care services deliver potential health gains to the population by integrating concepts of utilization, need and quality. We aimed to conduct a systematic review of studies evaluating EC of maternal and child health services, quality measurement strategies and disparities across wealth quantiles. A systematic search was performed in six electronic databases [MEDLINE, EMBASE, Cumulative Index of Nursing and Allied Health (CINAHL), Scopus, Web of Science and Maternity and Infant Care] and grey literature. We also undertook a hand search of references. We developed search terms having no restrictions based on publication period, country or language. We included studies which reported EC estimates based on the World Health Organization framework of measuring EC. Twenty-seven studies, all from low- and middle-income settings (49 countries), met the criteria and were included in the narrative synthesis of the results. Maternal and child health intervention(s) and programme(s) were assessed either at an individual level or as an aggregated measure of health system performance or both. The EC ranged from 0% for post-partum care to 95% for breastfeeding. When crude coverage measures were adjusted to account for the quality of care, the EC values turned lower. The gap between crude coverage and EC was as high as 86%, and it signified a low quality of care. The assessment of the quality of care addressed structural, process and outcome domains individually or combined. The wealthiest 20% had higher EC of services than the poorest 20%, an inequitable distribution of coverage. More efforts are needed to improve the quality of maternal and child health services and to eliminate the disparities. Moreover, considering multiple dimensions of quality and the use of standard measurements are recommended to monitor coverage effectively.

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.

Evidence for an expanded hypertension care cascade in low- and middle-income countries: a scoping review

Background

With nearly 90% of annual hypertension-related deaths occurring in low- and middle-income countries (LMICs), there is an urgent need to measure the coverage of health services that effectively manage hypertension. However, there is little agreement on how to define effective coverage and the existing hypertension care cascade (hypertension prevalence, percent aware, percent treated, and percent controlled) does not account for the quality of care received by patients. This study reviews definitions of effective coverage and service quality for hypertension management services and proposes an expanded hypertension care cascade to improve measurement of health systems performance.

Methods

A systematic scoping review of literature published in six electronic databases between January 2000 and October 2020 identified studies that defined effective coverage of hypertension management services or integrated dimensions of service quality into population-based estimates of hypertension management in LMICs. Findings informed an expanded hypertension care cascade from which quality-adjusted service coverage can be calculated to approximate effective coverage.

Results

The review identified 18 relevant studies, including 6 that defined effective coverage for hypertension management services and 12 that reported a measure of service quality in a population-based study. Based on commonly reported barriers to hypertension management, new steps on the proposed expanded care cascade include (i) population screened, (ii) population linked to quality care, and (iii) population adhering to prescribed treatment.

Conclusion

There is little consensus on the definition of effective coverage of hypertension management services, and most studies do not describe the quality of hypertension management services provided to populations. Incorporating aspects of service quality to the hypertension care cascade allows for the calculation of quality-adjusted coverage of relevant services, enabling an appropriate measurement of health systems performance through effective coverage.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08190-0.

A rapid systematic review and evidence synthesis of effective coverage measures and cascades for childbirth, newborn and child health in low- and middle-income countries

BACKGROUND

Effective coverage measures aim to estimate the proportion of a population in need of a service that received a positive health outcome. In 2020, the Effective Coverage Think Tank Group recommended using a 'coverage cascade' for maternal, newborn, child and adolescent health and nutrition (MNCAHN), which organises components of effective coverage in a stepwise fashion, with each step accounting for different aspects of quality of care (QoC), applied at the population level. The cascade outlines six steps that increase the likelihood that the population in need experience the intended health benefit: 1) the population in need (target population) who contact a health service; 2) that has the inputs available to deliver the service; 3) who receive the health service; 4) according to quality standards; 5) and adhere to prescribed medication(s) or health workers instructions; and 6) experience the expected health outcome. We examined how effective coverage of life-saving interventions from childbirth to children aged nine has been defined and assessed which steps of the cascade are captured by existing measures.

METHODS

We undertook a rapid systematic review. Seven scientific literature databases were searched covering the period from May 1, 2017 to July, 8 2021. Reference lists from reviews published in 2018 and 2019 were examined to identify studies published prior to May 2017. Eligible studies reported population-level contact coverage measures adjusted for at least one dimension of QoC.

RESULTS

Based on these two search approaches this review includes literature published from 2010 to 2021. From 16 662 records reviewed, 33 studies were included, reporting 64 effective coverage measures. The most frequently examined measures were for childbirth and immediate newborn care (n = 24). No studies examined measures among children aged five to nine years. Definitions of effective coverage varied across studies. Key sources of variability included (i) whether a single effective coverage measure was reported for a package of interventions or separate measures were calculated for each intervention; (ii) the number and type of coverage cascade steps applied to adjust for QoC; and (iii) the individual items included in the effective coverage definition and the methods used to generate a composite quality measure.

CONCLUSION

In the MNCAHN literature there is substantial heterogeneity in both definitions and construction of effective coverage, limiting the comparability of measures over time and place. Current measurement approaches are not closely aligned with the proposed cascade. For widespread adoption, there is a need for greater standardisation of indicator definitions and transparency in reporting, so governments can use these measures to improve investments in MNACHN and implement life-saving health policies and programs.

Operationalising effective coverage measurement of facility based childbirth in Gombe State; a comparison of data sources

Estimating effective coverage of childbirth care requires linking population based data sources to health facility data. For effective coverage to gain widespread adoption there is a need to focus on the feasibility of constructing these measures using data typically available to decision makers in low resource settings. We estimated effective coverage of childbirth care in Gombe State, northeast Nigeria, using two different combinations of facility data sources and examined their strengths and limitations for decision makers. Effective coverage captures information on four steps: access, facility inputs, receipt of interventions and process quality. We linked data from the 2018 Nigerian Demographic and Health Survey (NDHS) to two sources of health facility data: (1) comprehensive health facility survey data generated by a research project; and (2) District Health Information Software 2 (DHIS2). For each combination of data sources, we examined which steps were feasible to calculate, the size of the drop in coverage between steps and the resulting estimate of effective coverage. Analysis included 822 women with a recent live birth, 30% of whom attended a facility for childbirth. Effective coverage was low: 2% based on the project data and less than 1% using the DHIS2. Linking project data with NDHS, it was feasible to measure all four steps; using DHIS2 it was possible to estimate three steps: no data was available to measure process quality. The provision of high quality care is suboptimal in this high mortality setting where access and facility readiness to provide care, crucial foundations to the provision of high quality of care, have not yet been met. This study demonstrates that partial effective coverage measures can be constructed from routine data combined with nationally representative surveys. Advocacy to include process of care indicators in facility summary reports could optimise this data source for decision making.

Survival in influenza virus-related pneumonia by viral subtype: 2016-2020

BACKGROUND

Influenza remains a common cause of morbidity and mortality worldwide, and viral subtype-related differences in disease outcomes have been documented.

OBJECTIVE

To characterize the survival experience of adult inpatients with influenza virus-associated pneumonia by viral subtype during five consecutive flu seasons.

METHOD

We performed a retrospective cohort study; data from 4,678 adults were analyzed using the Kaplan-Meier method. A multivariate Cox proportional hazard regression model was fitted.

RESULTS

The overall in-hospital mortality rate was 25.0 per 1,000 hospital days. The survival probabilities from pneumonia patients went from 93.4% (95% CI 92.6-94.1%) by day three to 43.3% (95% CI 39.2-47.4%) by day 30 from hospital admission. In general, the lowest survival rates were observed in patients with AH1N1 infection. In multiple models, after adjusting for comorbidities and when compared with A non-subtyped virus, pneumonia patients with AH3N2 or B strains had a significantly decreased risk of a non-favorable disease outcome. The association of other strains was not significant.

CONCLUSIONS

Our findings suggest that the survival of inpatients with influenza virus-associated pneumonia varies according to the pathogenic viral subtype; the lowest survival rates were observed in patients with AH1N1 infection. This effect was independent of the patients' gender, age, and the analyzed underlying health conditions.

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.

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.

Acute Lymphoblastic Leukaemia Survival in Children Covered by Seguro Popular in Mexico: A National Comprehensive Analysis 2005-2017

The aim of the study was to measure survival of children with acute lymphoblastic leukemia (ALL) under Mexico's public health insurance for the population treated under Seguro Popular. A retrospective cohort study using claims data from Mexico's Seguro Popular program, covering cancer treatment from 2005 to 2015 was conducted. Overall 5-year national and state-specific survival for children with ALL across Mexico who initiated cancer treatment under this program was estimated. From 2005 to 2015, 8,977 children with ALL initiated treatment under Seguro Popular. Under this financing scheme, the annual number of treated children doubled from 535 in 2005 to 1,070 in 2015. The estimates for 5-year overall survival of 61.8% (95%CI 60.8, 62.9) remained constant over time. We observed wide gaps in risk-standardized 5-year overall survival among states ranging from 74.7% to 43.7%. We found a higher risk of mortality for children who received treatment in a non-pediatric specialty hospital (Hazards Ratio, HR = 1.18; 95%CI 1.09, 1.26), facilities without a pediatric oncology/hematology specialist (HR = 2.17; 95%CI 1.62, 2.90), and hospitals with low patient volume (HR = 1.22; 95%CI 1.13, 1.32). In a decade Mexico's Seguro Popular doubled access to ALL treatment for covered children and by 2015 financed the vast majority of estimated ALL cases for that population. While some progress in ALL survival may have been achieved, nationwide 5-year overall survival did not improve over time and did not achieve levels found in comparable countries. Our results provide lessons for Mexico's evolving health system and for countries moving toward universal health coverage.

Temporal trends in coverage, quality and equity of maternal and child health services in Rwanda, 2000-2015

INTRODUCTION

Achieving the maternal and child health (MCH)-related Sustainable Development Goals (SDG) will require equitable and effective (quality-adjusted) coverage of recommended health interventions in low- and middle-income countries. We assessed effective coverage and equity of MCH services in Rwanda in the Millennium Development Goal (MDG) era to help guide policy decisions to improve equitable health gains in the SDG era and beyond.

METHODS

Using four rounds of Rwanda demographic and health surveys conducted from 2000 to 2015, we identified coverage and quality indicators for five MCH services: antenatal care (ANC), delivery care, and care for child diarrhoea, suspected pneumonia and fever. We calculated crude coverage and quality in each survey and used these to estimate effective coverage. The effective coverage should be regarded as an upper bound because there were few available quality measures. We also described equity in effective coverage of these five MCH services over time across the wealth index, area of residence and maternal education using equiplots.

RESULTS

A total of 48 910 women aged 15-49 years and 33 429 children under 5 years were included across the four survey rounds. In 2015, average effective coverage was 33.2% (range 19.9%-44.2%) across all five MCH services, 30.1% (range 19.9%-40.2%) for maternal health services (average of ANC and delivery) and 35.3% (range 27.3%-44.2%) for sick child care (diarrhoea, pneumonia and fever). This is in contrast to crude coverage which averaged 56.5% (range 43.6%-90.7%) across all five MCH services, 67.3% (range 43.9%-90.7%) for maternal health services and 49.2% (range 43.6%-53.9%) for sick child care. Between 2010 and 2015 effective coverage increased by 154.2% (range 127.3%-170.0%) for maternal health services and by 27.4% (range 4.2%-79.6%) for sick child care. These increases were associated with widening socioeconomic inequalities in effective coverage for maternal health services, and narrowing inequalities in effective coverage for sick child care.

CONCLUSION

While effective coverage of common MCH services generally improved in the MDG era, it still lagged substantially behind crude coverage for the same services due to low-quality care. Overall, effective coverage of MCH services remained suboptimal and inequitable. Policies should focus on improving effective coverage of these services and reducing inequities.