Evidence map›Paper›PMID 31196188›Full record

ArticleHuman resources for health2019

A dynamic, multi-professional, needs-based simulation model to inform human resources for health planning.

Adrian MacKenzie, Gail Tomblin Murphy, Rick Audas

Abstract read
In one paragraph

Article in Human resources for health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. Methods and Tools Used to Estimate the Shortages of Medical Staff in European Countries-Scoping Review.International journal of environmental research and public health · 2023
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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.

Adrian MacKenzieDivision of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada. adrian.mackenzie@dal.ca.
Gail Tomblin MurphyWHO/PAHO Collaborating Centre on Health Workforce Planning and Research, Dalhousie University, Halifax, Canada.
Rick AudasDivision of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.

Funding

CSRD VA 1
6 · The paper itself

Abstract

backgroundAs population health needs become more complex, addressing those needs increasingly requires the knowledge, skills, and judgment of multiple types of human resources for health (HRH) working interdependently. A growing emphasis on team-delivered health care is evident in several jurisdictions, including those in Canada. However, the most commonly used HRH planning models across Canada and other countries lack the capacity to plan for more than one type of HRH in an integrated manner. The purpose of this paper is to present a dynamic, multi-professional, needs-based simulation model to inform HRH planning and demonstrate the importance of two of its parameters-division of work and clinical focus-which have received comparatively little attention in HRH research to date.

methodsThe model estimates HRH requirements by combining features of two previously published needs-based approaches to HRH planning-a dynamic approach designed to plan for a single type of HRH at a time and a multi-professional approach designed to compare HRH supply with requirements at a single point in time. The supplies of different types of HRH are estimated using a stock-and-flow approach.

resultsThe model makes explicit two planning parameters-the division of work across different types of HRH, and the degree of clinical focus among individual types of HRH-which have previously received little attention in the HRH literature. Examples of the impacts of these parameters on HRH planning scenarios are provided to illustrate how failure to account for them may over- or under-estimate the size of any gaps between the supply of and requirements for HRH.

conclusionThis paper presents a dynamic, multi-professional, needs-based simulation model which can be used to inform HRH planning in different contexts. To facilitate its application by readers, this includes the definition of each parameter and specification of the mathematical relationships between them.

Indexed as

Health PlanningHealth Services Needs and DemandModels, OrganizationalCanadaHealth PersonnelHumansWorkforceHealth human resourcesHealth servicesHealth workforceHHRHRHHuman resources for healthMulti-professionalPlanning

Identifiers

PMID31196188
PMCPMC6567915

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.