Estimating the global impact of poor quality of care on maternal and neonatal outcomes in 81 low- and middle-income countries: A modeling study

Author summaryWhy was this study done? In low- and middle-income countries, health systems struggle to provide high-quality medical care to pregnant women and their newborns in need. Delivery of key health interventions is critical to save lives and prevent morbidity and mortality in high-burden settings. The impact of extant or poor quality of care at a population level is poorly understood, and quantifying the benefits of improving quality among those already seeking or accessing care would be a critical first step for prioritization. What did the researchers do and find? To examine the global impact of improvement in the quality of care, we used a linking approach, which combines health facility and population-level survey data to estimate baseline for a subset of important evidence-based interventions. Intervention coverage trends were modeled in 81 countries by setting current levels of reported utilization as the final country-specific targets for 2020. If those seeking medical attention arrived at facilities reimagined with adequate resources and receive high-quality care, our systematic tally indicates that almost one quarter of the maternal deaths, neonatal deaths, and stillbirths would be preventable during the period 2016-2020 if the gaps in quality of care were eliminated. What do these findings mean? Countries and current health systems are far from ensuring that skilled providers with adequate supplies are providing timely and appropriate healthcare to existing populations in need. Our analysis of potential gains quantifies the consequences of these missed opportunities, ranging from the prenatal to postnatal periods. Bolstering the quality of care is an essential checkpoint because efforts to increase utilization will rely on the same health systems where vulnerable populations are presently accessing care. With greater attention focused on tracking country-level progress, more data will hopefully become available to effectively monitor changes in coverage for key maternal and neonatal interventions. As these parameters or inputs are better defined, modeling can contribute to the body of knowledge by offering an informed approach to examine quality of care gaps so that better strategies can be developed to improve health among mothers and their children seeking care in this context. Background In low-resource settings where disease burdens remain high and many health facilities lack essentials such as drugs or commodities, functional equipment, and trained personnel, poor quality of care often results and the impact can be profound. In this paper, we systematically quantify the potential gain of addressing quality of care globally using country-level data about antenatal, childbirth, and postnatal care interventions. Methods and findings In this study, we created deterministic models to project health outcomes if quality of care was addressed in a representative sample of 81 low- and middle-income countries (LMICs). First, available data from health facility surveys (e.g., Service Provision Assessment [SPA] and Service Availability and Readiness Assessment [SARA]) conducted 2007-2016 were linked to household surveys (e.g., Demographic and Health Surveys [DHS] and Multiple Indicator Cluster Surveys [MICS]) to estimate baseline coverage for a core subset of 19 maternal and newborn health interventions. Next, models were constructed with the Lives Saved Tool (LiST) using country-specific baseline levels in countries with a linked dataset (n = 17) and sample medians applied as a proxy in countries without linked data. Lastly, these 2016 starting baseline levels were raised to reach targets in 2020 as endline based upon country-specific utilization (e.g., proportion of women who attended 4+ antenatal visits, percentage of births delivered in a health facility) from the latest DHS or MICS population-based reports. Our findings indicate that if high-quality health systems could effectively deliver this subset of evidence-based interventions to mothers and their newborns who are already seeking care, there would be an estimated 28% decrease in maternal deaths, 28% decrease in neonatal deaths, and 22% fewer stillbirths compared to a scenario without any change or improvement in quality of care. Totals of 86,000 (range, 77,800-92,400) maternal and 0.67 million (range, 0.59 million-0.75 million) neonatal lives could be saved, and 0.52 million (range, 0.48 million-0.55 million) stillbirths could be prevented across the 81 countries in the calendar year 2020 when adequate quality care is provided at current levels of utilization. Limitations include the paucity of data to individually assess quality of care for each intervention in all LMICs and the necessary assumption that quality of care being provided among the subset of countries with linked datasets is comparable or representative of LMICs overall. Conclusions Our findings suggest that efforts to close the quality gap would still produce substantial benefits at current levels of access or utilization. With estimated mortality rate declines of 21%-32% on average, gains from this first step would be significant if quality was improved for selected antenatal, intrapartum, and postnatal interventions to benefit pregnant women and newborns seeking care. Interventions provided at or around the time of childbirth are most critical and accounted for 64% of the impact overall estimated in this quality improvement analysis.