Evidence map›Paper›PMID 37963610›Full record

ArticleBMJ global health2023

Implementing maternal and newborn health quality of care standards in healthcare facilities to improve the adoption of respectful maternity care in Bangladesh, Ghana and Tanzania: a controlled before and after study.

Alexander Manu, Veronica Pingray, Sk Masum Billah, John Williams, Stella Kilima, Francis Yeji, Fatima Gohar, Priscilla Wobil, Farhana Karim, Projestine Muganyizi and 7 more

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

17 authors.

Alexander ManuEpidemiology and Disease Control, University of Ghana School of Public Health, Accra, Ghana.
Veronica PingrayMaternal, Newborn and Adolescents Health, UNICEF HQ consultant, New York, New York, USA vpingray@iecs.org.ar.ORCID 0000-0002-7889-2825
Sk Masum BillahMaternal and Child Health Division, ICDDRB, Dhaka, Bangladesh.ORCID 0000-0002-8690-6932
John WilliamsDepartment of Clinical Sciences, Dodowa Health Research Centre, Ghana Health Service, Accra, Ghana.
Stella KilimaResearch Publication and Documentation Section, National Institute for Medical Research, Dar es Salaam, United Republic of Tanzania.
Francis YejiPlanning, Policy, Monitoring, and Evaluation Division (PPMED), Ghana Health Service, HQ, Accra, Ghana.
Fatima GoharHealth Section, UNICEF Eastern and Southern Africa Regional Office, Nairobi, Kenya.
Priscilla WobilHealth, UNICEF Ghana, Accra, Ghana.
Farhana KarimMaternal and Child Health Division, ICDDRB, Dhaka, Bangladesh.
Projestine MuganyiziDepartment of Obstetrics & Gynaecology, University of Dar es Salaam Mbeya College of Health and Allied Sciences (UDSM MCHAS), Mbeya, United Republic of Tanzania.
Deus MogelaNational Blood Transfusion Unit, Ministry of Health, Social Development, Gender, Elderly and Children, Dar es Salaam, United Republic of Tanzania.
Shams El ArifeenMCHD, Icddr B, Dhaka, Bangladesh.
Maya VandenentHealth, UNICEF Bangladesh, Dhaka, Bangladesh.
Ziaul MatinHealth, UNICEF Bangladesh, Dhaka, Bangladesh.
Indeep JandaMaternal, Newborn and Adolescents Health, UNICEF, New York, New York, USA.
Nabila ZakaHealth, UNICEF Pakistan, Islamabad, Pakistan.
Tedbabe D HailegebrielHealth, UNICEF, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany women worldwide cannot access respectful maternity care (RMC). We assessed the effect of implementing maternal and newborn health (MNH) quality of care standards on RMC measures.

methodsWe used a facility-based controlled before and after design in 43 healthcare facilities in Bangladesh, Ghana and Tanzania. Interviews with women and health workers and observations of labour and childbirth were used for data collection. We estimated difference-in-differences to compare changes in RMC measures over time between groups.

results1827 women and 818 health workers were interviewed, and 1512 observations were performed. In Bangladesh, MNH quality of care standards reduced physical abuse (DiD -5.2;-9.0 to -1.4). The standards increased RMC training (DiD 59.0; 33.4 to 84.6) and the availability of policies and procedures for both addressing patient concerns (DiD 46.0; 4.7 to 87.4) and identifying/reporting abuse (DiD 45.9; 19.9 to 71.8). The control facilities showed greater improvements in communicating the delivery plan (DiD -33.8; -62.9 to -4.6). Other measures improved in both groups, except for satisfaction with hygiene. In Ghana, the intervention improved women's experiences. Providers allowed women to ask questions and express concerns (DiD 37.5; 5.9 to 69.0), considered concerns (DiD 14.9; 4.9 to 24.9), reduced verbal abuse (DiD -8.0; -12.1 to -3.8) and physical abuse (DiD -5.2; -11.4 to -0.9). More women reported they would choose the facility for another delivery (DiD 17.5; 5.5 to 29.4). In Tanzania, women in the intervention facilities reported improvements in privacy (DiD 24.2; 0.2 to 48.3). No other significant differences were observed due to improvements in both groups.

conclusionInstitutionalising care standards and creating an enabling environment for quality MNH care is feasible in low and middle-income countries and may facilitate the adoption of RMC.

Indexed as

Delivery, ObstetricMaternal Health ServicesBangladeshFemaleGhanaHealth WorkforceHumansInfant HealthInfant, NewbornParturitionPregnancyQuality of Health CareStandard of CareTanzaniaHealth services researchIntervention studyMaternal healthObstetricsPublic Health

Identifiers

PMID37963610
PMCPMC10649771

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.