Evidence map›Paper›PMID 37009093›Full record

ArticleFrontiers in global women's health2023

Metrics for maternity unit staffing in low resource settings: Scoping review and proposed core indicator.

William Stones, Anjali Nair

Open access · goldFull text readScoping Review
In one paragraph

Article in Frontiers in global women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Causes of stillbirths at Kgapane hospital, Limpopo province.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
  3. Neonatal death audits at Kgapane Hospital, Limpopo province.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2023
    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

2 authors at 2 institutions in 2 countries.

William StonesCentre for Reproductive Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Anjali NairHeilbrunn Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, NY, United States.
Columbia University · USKamuzu Central Hospital · MW

Funding

Gates Foundation INV-001363
6 · The paper itself

Abstract

Background: The lack of usable indicators and benchmarks for staffing of maternity units in health facilities has constrained planning and effective program implementation for emergency obstetric and newborn care (EmONC) globally. Objectives: To identify potential indicator(s) and benchmarks for EmONC facility staffing that might be applicable in low resource settings, we undertook a scoping review before proceeding to develop a proposed set of indicators. Eligibility criteria: Population: women attending health facilities for care around the time of delivery and their newborns. Concept: reports of mandated norms or actual staffing levels in health facilities. Context: studies conducted in healthcare facilities of any type that undertake delivery and newborn care and those from any geographic setting in both public and private sector facilities. Sources of evidence and charting: Searches were limited to material published since 2000 in English or French, using Pubmed and a purposive search of national Ministry of Health, non-governmental organization and UN agency websites for relevant documents. A template for data extraction was designed. Results: Data extraction was undertaken from 59 papers and reports including 29 descriptive journal articles, 17 national Ministry of Health documents, 5 Health Care Professional Association (HCPA) documents, two each of journal policy recommendation and comparative studies, one UN Agency document and 3 systematic reviews. Calculation or modelling of staffing ratios was based on delivery, admission or inpatient numbers in 34 reports, with 15 using facility designation as the basis for staffing norms. Other ratios were based on bed numbers or population metrics. Conclusions: Taken together, the findings point to a need for staffing norms for delivery and newborn care that reflect numbers and competencies of staff physically present on each shift. A Core indicator is proposed, "Monthly mean delivery unit staffing ratio" calculated as number of annual births/365/monthly average shift staff census.

Indexed as

childbirthEMONCfacilityhuman resources for healthmidwiferystaffing adequacy

Identifiers

PMID37009093
PMCPMC10050730
OpenAlexW4324377012

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read41
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 OpenQuestion graph.