Trial reportThe Lancet. Digital health2022
A digital health registry with clinical decision support for improving quality of antenatal care in Palestine (eRegQual): a pragmatic, cluster-randomised, controlled, superiority trial.
Trial report in The Lancet. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care.The Cochrane database of systematic reviews · 2025Pooled it
- The mHealth clinical decision-making tools for maternal and perinatal health care in Sub-Saharan Africa: A systematic review.PloS one · 2025Pooled it
- Prediction of maternal and infant outcomes from longitudinal electronic health records with a mother-child AI agent.Nature medicine · 2026Article
- The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low- and middle-income countries and remote areas.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Article
- Challenges for a Maternal-Care Health Recommender System in Indonesia: Formative Preimplementation Qualitative Study.JMIR formative research · 2026Article
- Virtual medicine: medical AI in human health and diseases.Military Medical Research · 2026Review
- Integrated Digital Decision-Making Systems in Maternal Nursing and Maternity Care: A Scoping Review.Journal of multidisciplinary healthcare · 2026Review
- Obstetric and neonatal emergencies are still global health issues.Case reports in women's health · 2025Article
- Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewers.BMC medical research methodology · 2025Article
- A smartphone application as a promising tool for large-scale collection of participant data on fertility treatment.Scientific reports · 2025Article
- Digitization in nursing processes and the use of clinical decision support systems: do they improve perinatal indicators?BMC pregnancy and childbirth · 2025Article
- Workload in antenatal care before and after implementation of an electronic decision support system: an observed time-motion study of healthcare providers in Nepal.BMC medical informatics and decision making · 2025Observational
- A scoping review of digital technologies in antenatal care: recent progress and applications of digital technologies.BMC pregnancy and childbirth · 2025Article
- Evaluation of The Utilization of The iPosyandu Application in Enhancing Midwives' Competence in Early Pregnancy Detection Services: Mixed Methods Study.International journal of women's health · 2025Article
- The Safe Assessment Form to Evaluate Risks ('SAFER') chart - a clinical practice evaluation study following introduction of electronic risk identification in pregnancies in Scotland.NIHR open research · 2025Article
- Clinical decision support systems for maternity care: a systematic review and meta-analysis.EClinicalMedicine · 2024Article
- Mapping the Role of Digital Health Interventions to Enhance Effective Coverage of Antenatal Care: A Scoping Review.Journal of multidisciplinary healthcare · 2024Article
- Development of measles-rubella surveillance health information system in the working area of health center tanjung selor, bulungan district.Journal of public health in Africa · 2023Article
- Pregnant women's perceptions of antenatal care and utilisation of digital health tools in Magu District, Tanzania: a qualitative study.Sexual and reproductive health matters · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth worker compliance with clinical guidelines is enhanced by digital clinical decision support at the point of care. The Palestinian public health system is implementing a digital maternal and child health eRegistry with clinical decision support. We aimed to compare the quality of antenatal care between clinics using the eRegistry and those using paper-based records.
methodsThe eRegQual cluster-randomised controlled trial was done in primary health-care clinics offering routine antenatal care in the West Bank, Palestine. The intervention was the eRegistry with clinical decision support for antenatal care, implemented in District Health Information Systems 2 (DHIS2) Tracker software. 133 clinics forming 120 clusters were included and randomised; clusters were randomly assigned (1:1) to either the control (paper-based documentation) or intervention (eRegistry with clinical decision support) groups. The primary process outcomes were appropriate screening and management of anaemia, hypertension, and diabetes during pregnancy and foetal growth monitoring. The primary health outcome at delivery was a composite of moderate or severe anaemia; severe hypertension; large-for-gestational-age baby; malpresentation and small-for-gestational-age baby undetected before delivery. Data were analysed with mixed-effects logistic regression, accounting for clustering within clinics and pregnancies as appropriate. This trial is registered with the ISRCTN registry (ISRCTN18008445).
findingsBetween Jan 15 and Sept 15, 2017, 3219 pregnant women received care in the intervention clinics (n=60 clusters) and 3148 pregnant women received care in the control primary health-care clinics (n=59 clusters). Compared with the control group, the intervention led to higher guideline adherence for screening and management of anaemia (1535 [28·9%] of 5320 vs 2297 [44·3%] of 5182; adjusted odds ratio [OR] 1·88 [95% CI 1·52-2·32]), hypertension (7555 [94·7%] of 7982 vs 7314 [96·6%] of 7569; adjusted OR 1·62 [95% CI 1·29-2·05]), and gestational diabetes (1726 (39·7%) of 4348 vs 2189 (50·7%) of 4321; adjusted OR 1·45 [95% CI 1·14-1·83]) at eligible antenatal contacts. Only 599 (9·4%) of 6367 women attended the full antenatal care schedule, and better care provision did not translate to fewer adverse health outcomes in the intervention clusters (700 cases; 21·7%) compared to the control clusters (688 cases; 21·9%; adjusted OR 0·99; 95% CI 0·87-1·12).
interpretationClinical decision support for antenatal care in the eRegistry was superior for most process outcomes but had no effect on the adverse health outcomes. The improvements in process outcomes strengthen the evidence for the WHO guideline for digital client tracking with clinical decision support in lower-middle-income settings. Digital health interventions to address gaps in attendance might help achieve effective coverage of antenatal care.
fundingEuropean Research Council and Research Council of Norway. TRANSLATION: For the Arabic translation of the abstract see Supplementary Materials section.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.