Evidence map›Paper›PMID 26684471›Full record

SynthesisHuman resources for health2015

Approaches to improving the contribution of the nursing and midwifery workforce to increasing universal access to primary health care for vulnerable populations: a systematic review.

A J Dawson, A M Nkowane, A Whelan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Human resources for health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
13.2field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  6. Internet of Things in Medical Education: A Systematic Mapping Review.Medical journal of the Islamic Republic of Iran · 2025
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  17. Delegating home visits in general practice: a realist review on the impact on GP workload and patient care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    Review
  18. Article
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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

3 authors at 2 institutions in 2 countries.

A J DawsonFaculty of Health, University of Technology Sydney (UTS) World Health Organization Collaborating Centre for Nursing, Midwifery and Health Development, Jones Street, Sydney, NSW, Australia. angela.dawson@uts.edu.au.
A M NkowaneHealth Workforce Department, World Health Organization, Geneva, Switzerland. nkowanemwansa@who.int.
A WhelanFaculty of Health, University of Technology Sydney (UTS) World Health Organization Collaborating Centre for Nursing, Midwifery and Health Development, Jones Street, Sydney, NSW, Australia. annakwhelan@gmail.com.
University of Technology Sydney · AUWorld Health Organization · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite considerable evidence showing the importance of the nursing and midwifery workforce, there are no systematic reviews outlining how these cadres are best supported to provide universal access and reduce health care disparities at the primary health care (PHC) level. This review aims to identify nursing and midwifery policy, staffing, education and training interventions, collaborative efforts and strategies that have improved the quantity, quality and relevance of the nursing and midwifery workforce leading to health improvements for vulnerable populations.

methodsWe undertook a structured search of bibliographic databases for peer-reviewed research literature using a focused review question and inclusion/exclusion criteria. The quality of retrieved papers was appraised using standard tools. The characteristics of screened papers were described, and a deductive qualitative content analysis methodology was applied to analyse the interventions and findings of included studies using a conceptual framework.

resultsThirty-six papers were included in the review, the majority (25) from high-income countries and nursing settings (32). Eleven papers defined leadership and governance approaches that had impacted upon the health outcomes of disadvantaged groups including policies at the national and state level that had led to an increased supply and coverage of nursing and midwifery staff and scope of practice. Twenty-seven papers outlined human resource management strategies to support the expansion of nurse's and midwives' roles that often involved task shifting and task sharing. These included approaches to managing staffing supply, distribution and skills mix; workloads; supervision; performance management; and remuneration, financial incentives and staffing costs. Education and training activities were described in 14 papers to assist nurses and midwives to perform new or expanded roles and prepare nurses for inclusive practice. This review identified collaboration between nurses and midwives and other health providers and organizations, across sectors, and with communities and individuals that resulted in improved health care and outcomes.

conclusionsThe findings of this review confirm the importance of a conceptual framework for understanding and planning leadership and governance approaches, management strategies and collaboration and education and training efforts to scale up and support nurses and midwives in existing or expanded roles to improve access to PHC for vulnerable populations.

Indexed as

Nurse's RoleCooperative BehaviorEducation, Nursing, ContinuingGlobal HealthHumansLeadershipMidwiferyNursingPrimary Health CareVulnerable Populations

Identifiers

PMID26684471
PMCPMC4683743
OpenAlexW2203251461

What OpenQuestion 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 OpenQuestion graph.