The research, led by Abu Bakkar Siddique of the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), together with colleagues at NIPORT, the Bangladesh Bureau of Statistics and Johns Hopkins University Bloomberg School of Public Health, tackles a deceptively simple question with a technically sophisticated approach. Utilization statistics, the standard currency of maternal health monitoring, tell policymakers how many women use services but say nothing about whether those services can deliver safe care. A woman may reach a facility in time, but if that facility lacks trained staff, essential medicines, functioning equipment or clinical guidelines, the theoretical benefit of facility birth may never materialize. The study argues that this distinction matters enormously for a country whose celebrated decline in maternal mortality has recently stalled.

Methodologically, the team performed a cross-sectional analysis linking two independent national data systems: the Bangladesh Demographic and Health Surveys (BDHS) from 2014, 2017-18 and 2022, which interview households about where women delivered, and the Bangladesh Health Facility Surveys (BHFS) from the corresponding years, which audit facilities directly. Facility readiness was scored using tracer indicators spanning five domains: human resources, guidelines, equipment, diagnostics, and medicines and commodities. These are the structural ingredients that WHO and health systems researchers consider prerequisites for quality childbirth care, from skilled birth attendants and partographs to magnesium sulfate, oxytocic drugs and neonatal resuscitation equipment.

The linking procedure was ecological rather than individual. The researchers calculated weighted mean readiness scores for facilities by division, facility type and mode of delivery, then assigned each woman in the household survey a readiness score corresponding to the facilities in her area and the type of birth she reported. Readiness-adjusted coverage was then computed by multiplying each woman’s facility-delivery indicator by the corresponding readiness score and taking the survey-weighted population mean. In effect, the measure discounts crude coverage by the probability that the facility a woman used was structurally prepared. If half of women deliver in facilities but those facilities score only 50 percent on readiness, readiness-adjusted coverage is roughly a quarter, a far more honest picture of effective coverage.

The headline finding is the divergence between the two curves. Facility-delivery coverage gained 28 percentage points between 2014 and 2022, while readiness-adjusted coverage gained only 11, moving from roughly 22-23 percent to 33 percent. Because the numerator of progress was utilization rather than capacity, the absolute gap between the two measures more than doubled, from 14 to 32 percentage points. In plain terms, a rapidly growing fraction of Bangladeshi women are giving birth in settings that are not fully prepared for childbirth, and the study suggests this mismatch may help explain why maternal mortality reductions have slowed even as facility births surged.

What exactly is dragging readiness down? The 2022 data point to specific, actionable deficits: limited numbers of trained staff, scarcity of clinical guidelines, weak logistics systems and shortages of essential medicines. These are not exotic requirements but the basic plumbing of obstetric care. A facility without guidelines cannot standardize management of postpartum hemorrhage or pre-eclampsia; a facility without reliable supply chains cannot guarantee that oxytocin is available at three in the morning when a woman is bleeding. The readiness score, by aggregating tracer indicators across domains, exposes precisely which links in the chain are broken and where investment would translate most directly into safer deliveries.

The equity analysis is equally revealing. In 2022, readiness-adjusted coverage ranged from 22 percent among the poorest women to 44 percent among the wealthiest, a twofold disparity that mirrors and amplifies existing gradients in access, education and geography. The researchers also examined differences by residence and administrative division, finding that socioeconomic position remained a powerful determinant of whether a woman’s facility birth was backed by genuine readiness. This matters because the women least likely to reach a facility at all are also those most likely, when they do reach one, to encounter the weakest facilities, a compounding disadvantage that crude coverage statistics render invisible.

One of the study’s most consequential findings concerns the private sector. Private facilities accounted for 45 percent of all live births in Bangladesh by 2022, meaning nearly half of the country’s babies are now born in private institutions, yet the readiness of these facilities was generally lower than that of their public counterparts. This is a structural warning for health policy. Bangladesh’s facility-birth transition has been driven substantially by private-sector growth, often in urban and peri-urban areas, but the regulatory and quality-assurance architecture has not kept pace. If nearly half of births occur in facilities that are less prepared than public ones, the private boom may be inflating coverage statistics without delivering proportional gains in safety.

The technical approach also carries lessons for global measurement. Coverage indicators enshrined in the Sustainable Development Goal framework, including skilled birth attendance and institutional delivery, measure contact, not capability. The readiness-adjusted coverage metric demonstrated here offers a template that other countries with paired household and facility surveys could adopt, converting two parallel data streams into a single effective-coverage estimate. The authors argue that such equity-focused readiness measures should be incorporated into routine monitoring, so that health ministries track not only whether utilization is rising but whether the system behind that utilization is keeping up. The BDHS and BHFS pairing in Bangladesh, conducted in corresponding survey years, made the analysis possible; few countries have maintained both series with comparable rigor.

The study’s implications converge on a clear prescription. Bangladesh does not primarily need more women in facilities; it needs the facilities those women already reach to be staffed, supplied, equipped and guided to deliver safe care. Strengthening essential facility inputs, particularly in the private sector where readiness lags, and embedding readiness metrics in routine health information systems could ensure that the utilization gains of the past decade are converted into mortality reductions. As the authors conclude, the increase in facility-based delivery has outpaced improvement in readiness-adjusted coverage, and closing that widening gap is now the central challenge for maternal health in Bangladesh. For a country that has already proved it can move millions of births into facilities, the next transformation, making those facilities genuinely ready, is both the harder and the more urgent task.

Subject of Research: Readiness-adjusted coverage of facility-based childbirth in Bangladesh using linked household and health facility survey data

Article Title: Measuring readiness-adjusted coverage for facility delivery using health facility and household surveys in Bangladesh, 2014, 2017, and 2022

Article References: Siddique, A. B., Saha, A., Modasser, R. B., Ashiquzzaman, Hossain, A. T., Mamun, M. H., Zahirul Islam, S. M., Sakib, S. J., Lucky, N., Mostofa, M. M., Mehjabin, M., Chakraborty, A., Hossen, M. A., Wilson, E., Akseer, N., Amouzou, A., Ahmed, A., Arifeen, S. E., & Rahman, A. E. (2026). Measuring readiness-adjusted coverage for facility delivery using health facility and household surveys in Bangladesh, 2014, 2017, and 2022. BMC Health Services Research. https://doi.org/10.1186/s12913-026-15810-6

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15810-6

Keywords: Bangladesh, facility delivery, readiness-adjusted coverage, maternal health, health facility readiness, health surveys, health equity, private health sector, DHS, health services research, maternal mortality, effective coverage

The research team, led by Augustino Hellar of Prime Health Initiative Tanzania together with collaborators from the Tanzanian Ministry of Health, Jhpiego, and regional authorities, took advantage of an unusual opportunity: a complete census of antenatal care delivery rather than a sample. Between January 2023 and August 2024, all 5,936 pregnant women who enrolled in group antenatal care, often abbreviated G-ANC, across six public health facilities in Geita Region were included in the analysis. These facilities spanned the typical tiers of the Tanzanian health system, comprising two dispensaries, two health centers, and two district hospitals. The women were organized into 149 group cohorts, a model in which small groups of expectant mothers attend antenatal sessions together, combining clinical assessment with peer learning and discussion.

Group antenatal care has attracted growing interest across low- and middle-income countries because it promises to improve both the experience and the quality of care. Instead of the traditional one-on-one consultation, women in a G-ANC cohort meet repeatedly with the same facilitators and peers, which proponents argue increases satisfaction, knowledge retention, and retention in care. Tanzania’s Mlinde Mama Project embedded this model into routine government services rather than running it as a standalone research intervention, which is precisely what makes the new findings valuable. When a model moves from a carefully resourced pilot into the everyday machinery of a health system, its performance becomes a test of the system itself.

The headline numbers from the analysis were genuinely encouraging. Coverage of four or more antenatal care visits ranged from 90.2 to 95.0 percent across the six facilities, facility-based delivery ranged from 94.1 to 97.7 percent, and malaria testing reached 91.5 to 95.5 percent of enrolled women. Blood pressure monitoring was recorded for every single participant at every facility, a perfect 100 percent. These figures suggest that the group care model, when integrated into routine services, can achieve and sustain very high levels of service utilization, confirming that the attendance half of the maternal health equation is being solved at these sites.

But the picture changed sharply when the researchers looked beyond utilization to what clinicians actually delivered during those visits. Coverage of three or more doses of intermittent preventive treatment for malaria in pregnancy, the standard sulfadoxine-pyrimethamine regimen known as IPTp3+, ranged from 60.1 percent at the lowest-performing facility to 86.3 percent at the best, a gap of more than 26 percentage points for an intervention that protects both mother and fetus from a potentially devastating infection. Iron and folate supplementation, a cornerstone of prenatal nutrition, ranged from 75.0 to 92.7 percent. Most striking were the diagnostic services: HIV and syphilis testing coverage spanned from 59.9 to 95.0 percent, and urine testing, which screens for conditions such as pre-eclampsia risk and urinary tract infections, ranged from a troubling 30.1 percent to 62.7 percent. In other words, at one facility fewer than one in three women received a urine test that guidelines recommend for all.

To synthesize these differences, the team calculated a composite facility performance score as the mean coverage across nine selected indicators. The scores ranged from 80.1 to 91.9 percent, with Bwanga Health Center ranking highest and Butengorumasa Dispensary lowest. Health centers demonstrated the strongest overall performance across most indicators, outperforming both the smaller dispensaries and, in several respects, the district hospitals. Statistical testing using Pearson’s chi-square confirmed that the variation in coverage of the nine composite indicators across facilities was significant, with p-values below 0.05, meaning the differences were unlikely to be products of chance.

The pattern of variation carries important technical implications for how maternal health programs are monitored. Attendance-based metrics, such as the proportion of women completing four antenatal visits, are the traditional currency of maternal health surveillance because they are easy to measure and track. Yet the Geita data demonstrate that these metrics can mask profound differences in effective coverage, the proportion of the population actually receiving the interventions they need. A woman can attend every scheduled session and still leave without syphilis screening, without her full course of malaria prophylaxis, or without anemia assessment. Effective coverage, a concept increasingly emphasized by global health measurement initiatives, requires looking at what happens inside the consultation, not merely whether the consultation occurred.

Why would facilities within the same region, operating under the same national guidelines and implementing the same group care model, diverge so widely? The study did not formally test explanatory mechanisms, but the structure of the findings offers clues. Interventions requiring reliable supply chains, such as sulfadoxine-pyrimethamine for malaria prophylaxis and rapid diagnostic tests for HIV and syphilis, showed the largest gaps, while interventions depending only on clinical skill and a blood pressure cuff achieved universal coverage. This suggests that stock-outs, laboratory capacity, and equipment availability, rather than staff knowledge or patient demand, may drive much of the variation. Facility tier also mattered, with health centers occupying a sweet spot of sufficient resources without the patient volumes and staffing pressures that may strain larger district hospitals.

The authors argue that their findings support a shift in how antenatal programs are managed: facility-level performance monitoring should track the content of care alongside attendance, supported by supportive supervision and continuous quality improvement cycles. Because the analysis drew on routinely collected implementation data rather than a bespoke research dataset, the approach is inherently scalable; health managers could, in principle, reproduce these composite scorecards using existing health management information systems. The study also carries a caution about interpretation, since it reflects a single region and a program supported by external funding from the Gates Foundation, and the authors note that the published version is an early-release article subject to further editorial refinement.

For the global maternal health community, the message from Geita is both sobering and actionable. Tanzania has made substantial progress in getting pregnant women into contact with the health system, and the near-universal blood pressure monitoring and delivery coverage documented here show that the system can perform at scale. The unfinished agenda is consistency: ensuring that the woman at the lowest-performing dispensary receives the same malaria prophylaxis, the same syphilis test, and the same urine screening as the woman at the best-performing health center. Closing that gap does not require new medical discoveries, only the disciplined application of measurement, supervision, and supply chain management to interventions that are already proven, affordable, and sitting on national guidelines waiting to be delivered.

Subject of Research: Facility-level variation in the delivery of essential antenatal care interventions during routine group antenatal care implementation in Tanzania

Article Title: Beyond attendance: facility-level variations in the delivery of essential antenatal care interventions during routine group antenatal care implementation in Tanzania: a secondary analysis

Article References: Beyond attendance: facility-level variations in the delivery of essential antenatal care interventions during routine group antenatal care implementation in Tanzania: a secondary analysis. (n.d.). https://doi.org/10.1186/s12913-026-15769-4

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15769-4

Keywords: antenatal care, group antenatal care, Tanzania, maternal health, effective coverage, health facility performance, quality of care, malaria in pregnancy, IPTp, health services research, implementation science, Geita Region