Evidence map›Paper›PMID 32787852›Full record

ArticleBMC health services research2020

Labour and delivery ward register data availability, quality, and utility - Every Newborn - birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries.

Louise Tina Day, Georgia R Gore-Langton, Ahmed Ehsanur Rahman, Omkar Basnet, Josephine Shabani, Tazeen Tahsina, Asmita Poudel, Kizito Shirima, Shafiqul Ameen, Ashish K C and 29 more

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Review
  2. Article
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  4. Observational
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  14. Review
  15. Article
  16. Birthweight: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021
    Observational
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  18. Observational
  19. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

39 authors.

Louise Tina Day *Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK. louise-tina.day@lshtm.ac.uk.
Georgia R Gore-Langton *Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-7392-3127
Ahmed Ehsanur RahmanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Omkar BasnetGolden Community, Lalitpur, Nepal.
Josephine ShabaniDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Tazeen TahsinaMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Asmita PoudelGolden Community, Lalitpur, Nepal.
Kizito ShirimaDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Shafiqul AmeenMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Ashish K CDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Nahya SalimDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Sojib Bin ZamanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Donat ShambaDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Hannah BlencoweMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK.
Harriet RuysenMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK.
Shams El ArifeenMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Dorothy BoggsMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-5380-2785
Vladimir S GordeevMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK.
Qazi Sadeq-Ur RahmanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Tanvir HossainMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Elisha JoshiLifeLine Nepal, Baneshwor, Kathmandu, Nepal.
Sabu ThapaGolden Community, Lalitpur, Nepal.
Rajendra Prasad PoudelYagiten Pvt Ltd, Kathmandu, Nepal.
Durga PoudelYagiten Pvt Ltd, Kathmandu, Nepal.
Priyanka ChaudharyGolden Community, Lalitpur, Nepal.
Rabina KarkiGolden Community, Lalitpur, Nepal.
Bibek ChitrakarGolden Community, Lalitpur, Nepal.
Namala MkopiMuhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania.
Anna WisikoDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Alodear Patrick KitendeDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Marystella Revocatus ShiratiDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Christostomus ChingaloDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Amina Omari SemhandoMuhimbili National Hospital (MNH), Dar es Salaam, Tanzania.
Cleopatra MteiMuhimbili National Hospital (MNH), Dar es Salaam, Tanzania.
Victoria MwenisongoleTemeke Regional Referral Hospital, Dar es Salaam, Tanzania.
John Mathias BakuzaDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Japhet KomboDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Godfrey MbarukuDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Joy E LawnMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCountries with the highest burden of maternal and newborn deaths and stillbirths often have little information on these deaths. Since over 81% of births worldwide now occur in facilities, using routine facility data could reduce this data gap. We assessed the availability, quality, and utility of routine labour and delivery ward register data in five hospitals in Bangladesh, Nepal, and Tanzania. This paper forms the baseline register assessment for the Every Newborn-Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study.

methodsWe extracted 21 data elements from routine hospital labour ward registers, useful to calculate selected maternal and newborn health (MNH) indicators. The study sites were five public hospitals during a one-year period (2016-17). We measured 1) availability: completeness of data elements by register design, 2) data quality: implausibility, internal consistency, and heaping of birthweight and explored 3) utility by calculating selected MNH indicators using the available data.

resultsData were extracted for 20,075 births. Register design was different between the five hospitals with 10-17 of the 21 selected MNH data elements available. More data were available for health outcomes than interventions. Nearly all available data elements were > 95% complete in four of the five hospitals and implausible values were rare. Data elements captured in specific columns were 85.2% highly complete compared to 25.0% captured in non-specific columns. Birthweight data were less complete for stillbirths than live births at two hospitals, and significant heaping was found in all sites, especially at 2500g and 3000g. All five hospitals recorded count data required to calculate impact indicators including; stillbirth rate, low birthweight rate, Caesarean section rate, and mortality rates.

conclusionsData needed to calculate MNH indicators are mostly available and highly complete in EN-BIRTH study hospital routine labour ward registers in Bangladesh, Nepal and Tanzania. Register designs need to include interventions for coverage measurement. There is potential to improve data quality if Health Management Information Systems utilization with feedback loops can be strengthened. Routine health facility data could contribute to reduce the coverage and impact data gap around the time of birth.

Indexed as

Data AccuracyDelivery RoomsBangladeshFemaleHumansInfant, NewbornNepalPregnancyRegistriesTanzaniaBirthHospitalIndicatorsMaternalMeasurementNewbornRegistersRoutine Health Management Information SystemsStillbirth

Identifiers

PMID32787852
PMCPMC7422224

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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.