Evidence map›Paper›PMID 40018221›Full record

ArticleBMJ public health2024

Do current maternal health staffing and bed occupancy benchmarks work in practice? Results from a simulation model.

Rebecca F Baggaley, Giorgia Gon, Said Mohammed Ali, Salma Abdi Mahmoud, Farhat Jowhar, Carolin Vegvari

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Rebecca F BaggaleyDepartment of Population Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0002-4688-3924
Giorgia GonDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-9741-7712
Said Mohammed AliDepartment of Public Health Laboratory-Ivo de Carneri (PHL-IdC), Public Health Laboratory, Chake Chake, Tanzania, United Republic of.
Salma Abdi MahmoudThe State University of Zanzibar, Zanzibar, Tanzania, United Republic of.
Farhat JowharIntegrated Reproductive and Child Health Program, Zanzibar Ministry of Health, Zanzibar, Tanzania, United Republic of.
Carolin VegvariDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: The WHO has issued the global target of reducing maternal mortality rates by two-thirds of 2010 baseline levels by 2030. In low-income settings, high birth rates and a relative lack of medical resources mean that an efficient use of resources and skilled staff is important in ensuring quality of intrapartum and postpartum care. Methods: We use a stochastic, individual-based model to explore whether WHO resourcing benchmarks are sufficient to ensure consistent quality of care. We simulate all deliveries occurring in a region over a year, with date and time of presentation of each woman delivering at a facility assigned at random. Each woman stays in the delivery room for an assigned duration before her delivery, then moves to the maternity ward, followed by discharge. We explore the potential impact of seasonality of births on our findings and then apply the model to a real-world setting using 2014 data from Emergency Obstetric Care (EmOC) facilities in Zanzibar, United Republic of Tanzania. Results: We find that small EmOCs are frequently empty, while larger EmOCs are at risk of temporarily falling below minimum recommended staff-to-patient ratios. Similarly for Zanzibar, capacity of EmOCs in terms of beds is rarely exceeded. Where over-capacity occurs, it is generally smaller, basic EmOCs (BEmOCs) that are affected. In contrast, capacity in terms of staffing (skilled birth attendants:women in labour ratio) is exceeded almost 50% of the time in larger Comprehensive EmOCs (CEmOCs). Conclusions: Our findings suggest that increasing staffing levels of CEmOCs while maintaining fewer small BEmOCs may improve quality of care (by increasing the staff-to-patient ratio for the most frequently used facilities), provided that timely access to EmOCs for all women can still be guaranteed. Alternatively, BEmOCs may need to be upgraded to ensure that women trust and choose these facilities for giving birth, thus relieving pressure on CEmOCs.

Indexed as

community healthepidemiologypublic healthstatistics and numerical data

Identifiers

PMID40018221
PMCPMC11816098

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.