Retention strategies and interventions for health workers in rural and remote areas: a systematic review protocol

被引:8
|
作者
Hines, Sonia [1 ,2 ]
Wakerman, John [3 ]
Carey, Timothy A. [1 ,2 ]
Russell, Deborah [2 ]
Humphreys, John [4 ]
机构
[1] Flinders Univ S Australia, Ctr Remote Hlth, Alice Springs, NT, Australia
[2] Flinders Univ S Australia, Flinders Northern Terr, Alice Springs, NT, Australia
[3] Menzies Sch Hlth Res, Alice Springs, NT, Australia
[4] Monash Univ, Sch Rural Hlth, Bendigo, Australia
关键词
Health workforce; incentives; remote; retention; rural; NEW-ZEALAND; INCENTIVES;
D O I
10.11124/JBISRIR-2017-004009
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective: The objective of the current review is to examine the association between exposure to strategies or interventions to retain health workers in rural and remote areas of high-income countries and improved retention rates. Introduction: Attracting and retaining sufficient healthcare staff to provide adequate services for residents of rural and remote areas is an international problem. High-income countries have specific challenges in staffing remote and rural areas; despite the majority of the population clustering in large cities, a significant number of communities are in rural, remote or frontier areas which may be perceived as less attractive locations in which to live and work. Inclusion criteria: The review will consider studies that include health workers in high-income countries where participants have been exposed to interventions, support measures or incentive programs to increase retention or workforce length of employment or reduce turnover for health workers in rural and remote areas. Analytical observational studies, case-control studies, analytical cross-sectional studies, descriptive observational study designs, and descriptive cross-sectional studies published from 2010 will be eligible for inclusion. Methods: We will use the JBI methodology for reviews of risk and etiology. A range of databases will be searched. Two reviewers will screen, critically appraise eligible articles, and extract data from included studies. Data synthesis will be conducted, where feasible, with RevMan 5.3.5. A random effects model will be used to conduct meta-analyses. We will assess the certainty of the findings using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach.
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页码:87 / 96
页数:10
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