Evidence map›Paper›PMID 32414372›Full record

ArticleBMC health services research2020

Rethinking workforce planning for integrated care: using scenario analysis to facilitate policy development.

Gareth H Rees, Peter Crampton, Robin Gauld, Stephen MacDonell

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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2 · The registry

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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.

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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

4 authors.

Gareth H ReesESAN University, Alonso de Molina 1652, Monterrico Chico, Lima 33, Peru. grees@esan.edu.pe.ORCID http://orcid.org/0000-0002-8648-3626
Peter CramptonOtago Medical School and Centre for Health Systems and Technology, University of Otago, PO Box 56, Dunedin, 9054, New Zealand.
Robin GauldDean's Office, Otago Business School and Centre for Health Systems and Technology, University of Otago, PO Box 56, Dunedin, 9054, New Zealand.
Stephen MacDonellDepartment of Information Science and Centre for Health Systems and Technology, Otago Business School, University of Otago, PO Box 56, Dunedin, 9054, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA goal of health workforce planning is to have the most appropriate workforce available to meet prevailing needs. However, this is a difficult task when considering integrated care, as future workforces may require different numbers, roles and skill mixes than those at present. With this uncertainty and large variations in what constitutes integrated care, current health workforce policy and planning processes are poorly placed to respond. In order to address this issue, we present a scenario-based workforce planning approach.

methodsWe propose a novel mixed methods design, incorporating content analysis, scenario methods and scenario analysis through the use of a policy Delphi. The design prescribes that data be gathered from workforce documents and studies that are used to develop scenarios, which are then assessed by a panel of suitably qualified people. Assessment consists of evaluating scenario desirability, feasibility and validity and includes a process for indicating policy development opportunities.

resultsWe confirmed our method using data from New Zealand's Older Persons Health sector and its workforce. Three scenarios resulted, one that reflects a normative direction and two alternatives that reflect key sector workforce drivers and trends. One of these, based on alternative assumptions, was found to be more desirable by the policy Delphi panel. The panel also found a number of favourable policy proposals.

conclusionsThe method shows that through applying techniques that have been developed to accommodate uncertainty, health workforce planning can benefit when confronting issues associated with integrated care. The method contributes to overcoming significant weaknesses of present health workforce planning approaches by identifying a wider range of plausible futures and thematic kernels for policy development. The use of scenarios provides a means to contemplate future situations and provides opportunities for policy rehearsal and reflection.

Indexed as

AgedAged, 80 and overDelivery of Health Care, IntegratedHealth PlanningHealth PolicyHealth WorkforceHumansNew ZealandPolicy MakingHealth policyHealth workforce governanceHealth workforce planningIntegrated careMixed methodsNew ZealandScenario analysis

Identifiers

PMID32414372
PMCPMC7227104

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Registered trials

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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.