The study, published in BMC Health Services Research, examined three frontline services that anchor primary healthcare across low- and middle-income countries: antenatal care, family planning, and sick-child care. For each service, the research team constructed a structural readiness index ranging from zero to one, capturing the presence of essential equipment, commodities, laboratory capacity, and trained staff. The results showed moderate readiness across the board. Sick-child services averaged 0.51, antenatal care 0.54, and family planning 0.62. On paper, then, Ethiopian facilities were neither destitute nor exemplary; they possessed roughly half to two-thirds of the structural elements that international standards consider necessary for safe, effective service delivery.

What happened inside the consultation rooms told a much grimmer story. Trained observers watched clinicians work through real patient encounters and scored their adherence to national and international clinical guidelines. Providers completed, on average, only 22 percent of the recommended clinical steps for sick-child care and 24 percent for family planning. Antenatal care fared somewhat better at 47 percent, but even there, more than half of the evidence-based actions that should accompany every visit were simply skipped. These are not abstract metrics. A missed clinical step might mean failing to check a child’s vaccination status, not assessing danger signs in a pregnant woman, or omitting counseling on contraceptive side effects. Each omission represents a lost opportunity to prevent illness or death, and the aggregate picture is one of clinical practice falling dramatically short of what guidelines demand.

The most technically revealing finding concerns the relationship between the two quality domains. Using correlation analysis and restricted cubic splines, a flexible statistical method for detecting nonlinear associations, the researchers found that structural readiness predicted process quality only weakly. More striking was the dispersion: facilities with identical readiness scores varied enormously in how well their providers adhered to guidelines. Two clinics could boast the same equipment checklist and commodity availability, yet one might deliver 40 percent of recommended care steps while the other delivered barely 10. This scatter is the statistical signature of a system in which the binding constraint is not what facilities own but what providers do. Infrastructure, in other words, is a necessary but profoundly insufficient condition for good care.

The patient perspective added a third, equally dissonant layer. Between 27 and 39 percent of clients rated their overall service as excellent, a figure that might seem encouraging until it is juxtaposed with the observed clinical performance. Yet even among satisfied patients, trust was fragile: fewer than 40 percent expressed full confidence that the facility could deliver quality care if they became seriously ill the next day. That gap between satisfaction and confidence is analytically important. Patients may leave a visit pleased with how they were treated while still harboring deep doubts about the system’s capacity to handle a genuine emergency. Such conditional trust has consequences, potentially shaping decisions about where to seek care, whether to delay treatment, and whether to return at all.

So what actually drove those high patient ratings? The researchers turned to multivariable logistic regression, adjusting for a range of facility and client characteristics, and the answer was emphatically interpersonal. Shorter waiting times, respectful and clear communication from providers, and the availability of medicines were the dominant predictors of excellent quality ratings. Structural readiness and observed clinical process quality contributed little, if anything, to the odds of a patient awarding top marks. In a sense, patients were grading the encounter rather than the medicine: they noticed whether they were kept waiting, whether they were spoken to with dignity, and whether they walked away with the drugs they needed. The clinical content of the visit, largely invisible to them, barely registered.

This pattern exposes a fundamental measurement problem in global health. For decades, health systems in low- and middle-income countries have leaned on structural indicators, such as the WHO’s Service Availability and Readiness Assessment framework, as proxies for quality, largely because they are cheap and easy to collect through facility audits. The Ethiopian data demonstrate why that shortcut is dangerous. A facility can score well on every tracer item and still deliver care that ignores most of the clinical guideline. Conversely, a modestly equipped facility might house a clinician who practices meticulous, patient-centered medicine. If funders and ministries reward structural scores alone, they risk optimizing a metric that bears little relationship to health outcomes or to the experiences of the people the system exists to serve.

The findings arrive at a consequential moment. The Sustainable Development Goals have pushed governments to expand access aggressively, and Ethiopia has built one of the largest primary healthcare networks in sub-Saharan Africa. But the study’s authors frame the stakes plainly: expanding access without guaranteeing quality does not improve population health. Patients who reach a facility only to receive a fraction of recommended care have gained the illusion of coverage rather than its substance. The disconnect also carries a psychological dimension, because patients who sense respectful treatment may not realize that critical clinical steps were omitted, allowing substandard care to hide behind a pleasant bedside manner.

The policy implications cut in two directions at once. The authors are careful not to dismiss infrastructure: equipment, medicines, water, and electricity remain essential preconditions for any functional health system, and their absence makes good care impossible. But the data argue that infrastructure investment, pursued alone, has hit a ceiling. Quality improvement efforts must now directly target what happens in the clinical encounter, through strategies such as supportive supervision, clinical mentoring, guideline-based job aids, and feedback on observed practice. Simultaneously, the strong influence of waiting time, communication, and medicine availability on patient trust suggests that service organization and supply chains deserve attention not merely as logistics problems but as core determinants of whether people believe in their health system.

For a global health community increasingly focused on measuring quality rather than assuming it, the Ethiopian study offers a rare and valuable trifecta: nationally representative scope, three independent measurement approaches, and a consistent statistical story. Its message is likely to resonate far beyond Ethiopia’s borders, because the reliance on structural proxies is a global habit, not a local one. The clinics of Addis Ababa and the rural health posts of the southern regions have delivered a lesson that applies wherever health systems are judged by their inventories rather than their practice: a building can be ready for care, but readiness does not perform the care. People do, and it is their hands, their words, and their adherence to evidence that ultimately determine whether a visit to the clinic heals or merely happens.

Subject of Research: Relationships between health facility structural readiness, clinical process quality, and client-reported care experience in Ethiopia

Article Title: Does health facility infrastructure predict performance? Disconnects between service readiness, process quality, and client experience in Ethiopia

Article References: Tollera, G., Lemlem, A., Berhanu, K., Alemu, A., Girmay, A. M., & Tadele, A. (2026). Does health facility infrastructure predict performance? Disconnects between service readiness, process quality, and client experience in Ethiopia. BMC Health Services Research. https://doi.org/10.1186/s12913-026-15578-9

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15578-9

Keywords: Ethiopia, health facility readiness, quality of care, process quality, client experience, service provision assessment, antenatal care, family planning, sick-child care, health systems, WHO tracer indicators, patient satisfaction

The study, led by Lindsay M. Mallick of the University of Maryland and Avenir Health, together with colleagues at USAID in Addis Ababa, is notable for the analytical framework it applies. Rather than relying on the traditional, narrow measures of quality that health surveys have used for decades—such as whether a clinic has running water or whether a nurse asked a certain screening question—the team adopted the High-Quality Health Systems framework. This framework, developed by global health researchers to push beyond fragmented quality metrics, treats quality as a property of the entire system rather than of individual checklist items. It organizes measurement into three interlocking domains: Competent Systems, Evidence-based Care, and Positive User Experience, each of which captures a different dimension of what patients actually experience when they seek care.

To operationalize the framework, the researchers constructed 98 distinct quality indicators spanning family planning, antenatal care, and sick child services. Each indicator was scored, and the results were scaled from 0 to 100 percent, with the score interpreted as the percentage of applicable quality standard indicators that a facility met. The indicators deliberately span multiple levels of the health system. Structural readiness inputs capture the equipment, medicines, trained staff, and infrastructure available at a facility. Service delivery processes capture what providers actually do during consultations—whether they take histories, perform examinations, counsel patients correctly, and follow clinical guidelines. Client-centered outcomes capture whether patients leave with the knowledge they need, feel respected, and intend to return or follow medical advice. This multilevel design matters because a facility can look well equipped on paper while still delivering clinically poor care, or vice versa.

The headline finding is a stark imbalance across the three domains. Nationally, facilities scored lowest on Evidence-based Care, meeting just 32 percent of standards in that domain. Competent Systems scored 51 percent and Positive User Experience 50 percent. That gap is the study’s central warning. Ethiopia’s health system has invested heavily in the foundations of care—buildings, commodities, staffing, and community outreach—and those investments show up in the Competent Systems score. Patients also generally report respectful treatment, reflected in the user experience score. But the actual clinical content of care, the moment when a provider must apply the correct evidence to the correct patient, lags far behind. The authors conclude that provider adherence to clinical standards is the single most important target for quality improvement efforts in the country.

The technical implications of a 32 percent score on evidence-based care are profound. In antenatal care, low scores in this domain can mean that dangerous conditions such as hypertensive disorders, anemia, or infections are not being detected even when women attend the recommended number of visits. In sick child services, missed clinical steps can mean that pneumonia, malaria, or dehydration is not correctly classified, with direct consequences for child survival. In family planning, inadequate counseling and screening can affect both safety and continuation rates. Ethiopia’s own health statistics reinforce the urgency: while maternal and child mortality have fallen substantially over the past two decades, progress toward the Sustainable Development Goal targets has been inadequate, and declines in neonatal mortality have stalled. The study argues that these stalled declines are precisely the signal that access alone has reached its limits and that quality must now drive further gains.

Beneath the national averages, the study documents deep geographic disparities that amount to two different health systems operating within one country. Addis Ababa, the capital, often scored highest across domains and subdomains, benefiting from denser infrastructure, better-resourced facilities, and a more specialized workforce. By contrast, the Somali and Gambella regions consistently lagged behind on most measures. These are regions with dispersed populations, difficult terrain, chronic workforce shortages, and historically lower investment, and the pattern of their scores suggests that the quality gap compounds the access gap: the places where it is hardest to reach a facility are also the places where the facility, once reached, is least likely to deliver standards-based care. The authors argue that concerted efforts to address these regional disparities in service provision are essential if continued progress and equitable access to high-quality healthcare are to be achieved.

Facility type produced equally revealing patterns. Hospitals and health centers, which sit higher in Ethiopia’s referral hierarchy and employ more highly trained clinicians, scored highest overall and across the three domains. Health posts and other rural facilities—the frontline of the system, staffed largely by community-level health extension workers—scored lower on most measures. Yet the analysis uncovered an important exception that the authors highlight as a genuine strength: rural health posts outperformed on the Competent Systems subdomains of Continuity and Integration and Population and Health Management. These are the functions that depend on knowing a community over time—tracking households, following up on mothers and children, coordinating referrals, and managing population-level health information. The result reflects the reach of Ethiopia’s community health strategy, one of the largest and longest-running community health worker programs in Africa, which has embedded health extension workers in villages nationwide.

This nuance carries a strategic lesson for policymakers, not only in Ethiopia but across low- and middle-income countries pursuing universal health coverage. The High-Quality Health Systems framework reveals that different tiers of the system excel at different functions. Frontline community facilities are indispensable for continuity, integration, and population health management, but they cannot substitute for the clinical competence concentrated in hospitals and health centers. A quality strategy therefore cannot be uniform. Strengthening evidence-based care will require targeted clinical training, supervision, mentorship, and decision support aimed at the specific steps providers are missing, while preserving and reinforcing the community-level strengths that make the system resilient. The study’s descriptive design—reporting scores by region, facility type, managing authority, and urban-rural setting—was explicitly intended to inform such programmatic decisions, including how scarce resources for quality improvement should be allocated.

The methodological rigor of the underlying data adds weight to the findings. The Ethiopia Service Provision Assessment is a nationally representative facility survey that combines direct observation of consultations with facility audits and client exit interviews, allowing researchers to measure what facilities have, what providers do, and what patients experience within a single design. The study’s protocols were reviewed and approved by the ICF Institutional Review Board and the Ethiopian Public Health Institute’s Institutional Review Board, with written informed consent from all participants, and the analysis used de-identified microdata under approved data use agreements. The research was partially funded by the U.S. Agency for International Development and the Government of Ethiopia under The DHS Program. Because the article is open access, the full indicator-level results are available to Ethiopian health authorities and to researchers in other countries facing the same transition.

Ultimately, the study reframes a question that many health systems are now confronting as they approach the 2030 Sustainable Development Goal deadline. Expanding access was, in many respects, the easier problem: it could be solved with construction, recruitment, and logistics. Ensuring quality is a systems problem that touches clinical training, accountability, incentives, data use, and the everyday behavior of hundreds of thousands of health workers. Ethiopia’s 46 percent national score is not a verdict on two decades of investment—those investments saved lives and built one of Africa’s most extensive primary care networks. It is, instead, a measurement of the distance remaining between having a health system and having a high-quality one. The authors’ message is that the tools to close that distance now exist: a validated framework, nationally representative data, and a clear map of where the gaps lie. What remains is the political and financial commitment to act on the evidence, region by region and clinic by clinic.

Subject of Research: Assessment of primary health care quality in Ethiopia using the High-Quality Health Systems framework

Article Title: Moving from expanding access to ensuring quality: lessons from the high-quality health systems framework in Ethiopia

Article References: Mallick, L. M., Thompson, S., Mussema, Y., & Girma, F. (2026). Moving from expanding access to ensuring quality: lessons from the high-quality health systems framework in Ethiopia. BMC Health Services Research. https://doi.org/10.1186/s12913-026-15629-1

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15629-1

Keywords: Ethiopia, health systems, quality of care, primary health care, High-Quality Health Systems framework, Service Provision Assessment, antenatal care, family planning, sick child care, health equity, evidence-based care, community health workers