Observational studyBMJ open2019
Implementation of an individual patient prospective database of hospital births in Sri Lanka and its use for improving quality of care.
Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 22 citations in OpenAlex.
- Vulnerable newborn types: analysis of subnational, population-based birth cohorts for 541 285 live births in 23 countries, 2000-2021.BJOG : an international journal of obstetrics and gynaecology · 2025Article
- Development and evaluation of an online cardiotocography course tailored to LMIC settings: a feasibility study conducted in a tertiary care hospital in Sri Lanka.BMC research notes · 2025Article
- A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research.Journal of biomedical physics & engineering · 2024Article
- Review
- Outcomes of induction versus spontaneous onset of labour at 40 and 41 GW: findings from a prospective database, Sri Lanka.BMC pregnancy and childbirth · 2022Article
- Baseline assessment of the WHO/UNICEF/UNFPA maternal and newborn quality-of-care standards around childbirth: Results from an intermediate hospital, northeast Namibia.Frontiers in pediatrics · 2022Article
- Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study.BMJ open · 2021Article
- Article
- Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.PloS one · 2020Article
- Observational
- Nutritional services for children in Beira, Mozambique: a study reporting on participatory use of data to generate quality improvement recommendations.BMJ open quality · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
objectivesThis study was aimed at piloting a prospective individual patient database on hospital deliveries in Colombo, Sri Lanka, and at exploring its use for developing recommendations for improving quality of care (QoC).
designObservational study.
settingDe Soysa Maternity Hospital, the largest referral hospital for maternity care in Sri Lanka. DATA COLLECTION AND ANALYSIS: From July 2015 to June 2017, 150 variables were collected for each delivery using a standardised form and entered into a database. Data were analysed every 8 months, and the results made available to local staff. Outcomes of the study included: technical problems; data completeness; data accuracy; key database findings; and use of data.
results7504 deliveries were recorded. No technical problem was reported. Data completeness exceeded that of other existing hospital recording systems. Less than 1% data were missing for maternal variables and less than 3% for newborn variables. Mistakes in data collection and entry occurred in 0.01% and 0.09% of maternal and newborn data, respectively. Key QoC indicators identified in comparison with international standards were: relatively low maternal mortality (0.053%); relatively high maternal near-miss cases (3.4%); high rate of induction of labour (24.6%), caesarean section (30.0%) and episiotomy (56.1%); relatively high rate of preterm births (9.4%); low birthweight rate (16.5%); stillbirth (0.97%); and of total deaths in newborn (1.98%). Based on key indicators identified, a list of recommendations was developed, including the use checklists to standardise case management, training, clinical audits and more information for patients. A list of lessons learnt with the implementation of the data collection system was also drawn.
conclusionsThe study shows that the implemented system of data collection can produce a large quantity of reliable information. Most importantly, this experience provides an example on how database findings can be used for discussing hospital practices, identifying gaps and to agree on recommendations for improving QoC.
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Identifiers
What OpenQuestion holds
Registered trials
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.