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Mylene Lagarde - One of the best experts on this subject based on the ideXlab platform.

  • Cost-effectiveness analysis of Human Resources Policy interventions to address the shortage of nurses in rural South Africa.
    Social science & medicine (1982), 2012
    Co-Authors: Mylene Lagarde, Duane Blaauw, John Cairns
    Abstract:

    Recent Policy recommendations have called for increased research efforts to inform the design of cost-effective interventions to address the shortage of health workers in rural areas. This paper takes forward the recent use of Discrete Choice Experiments to assess the effects of potential incentives to attract nurses to rural areas. The analysis relies on data collected in South Africa between August and November 2008. Effectiveness measures derived from Discrete Choice Experiments are combined in a Markov model to derive the long-term effects of policies, and costs are evaluated with secondary data. Measures involving the selection of more nursing students who are more likely to accept positions in rural areas are shown to be the most cost-effective interventions. If such policies could not be implemented, the next best options are to offer preferential access to specialist training to nurses willing to work in rural areas.

  • Modelling Human Resources policies with Markov models: an illustration with the South African nursing labour market
    Health care management science, 2011
    Co-Authors: Mylene Lagarde, John Cairns
    Abstract:

    This article proposes a modelling framework to simulate and assess the immediate and long-term effects of Policy interventions to attract and retain nurses in rural areas. Specifically, we use a Markov model to model the dynamics of movements of health care workers in a professional labour market. A model is developed to simulate the movements of South African nurses between different segments of the labour market over time. The model builds upon a series of assumptions that are stated in details, and uses predictions generated by discrete choice experiments. The results demonstrate the ability of Markov models to model the effects of Human Resources Policy interventions in the short and long run. They highlight the effects of time on the effectiveness of some potential Policy interventions, whose immediate positive effects can be eroded as different adverse effects appear. Despite its complexity, this innovative method provides a transparent and useful tool to inform the design of policies to address rural staff shortages.

  • a review of the application and contribution of discrete choice experiments to inform Human Resources Policy interventions
    Human Resources for Health, 2009
    Co-Authors: Mylene Lagarde, Duane Blaauw
    Abstract:

    Although the factors influencing the shortage and maldistribution of health workers have been well-documented by cross-sectional surveys, there is less evidence on the relative determinants of health workers' job choices, or on the effects of policies designed to address these Human Resources problems. Recently, a few studies have adopted an innovative approach to studying the determinants of health workers' job preferences. In the absence of longitudinal datasets to analyse the decisions that health workers have actually made, authors have drawn on methods from marketing research and transport economics and used Discrete Choice Experiments to analyse stated preferences of health care providers for different job characteristics.

  • A review of the application and contribution of discrete choice experiments to inform Human Resources Policy interventions
    Human resources for health, 2009
    Co-Authors: Mylene Lagarde, Duane Blaauw
    Abstract:

    Although the factors influencing the shortage and maldistribution of health workers have been well-documented by cross-sectional surveys, there is less evidence on the relative determinants of health workers' job choices, or on the effects of policies designed to address these Human Resources problems. Recently, a few studies have adopted an innovative approach to studying the determinants of health workers' job preferences. In the absence of longitudinal datasets to analyse the decisions that health workers have actually made, authors have drawn on methods from marketing research and transport economics and used Discrete Choice Experiments to analyse stated preferences of health care providers for different job characteristics. We carried out a literature review of studies using discrete choice experiments to investigate Human Resources issues related to health workers, both in developed and developing countries. Several economic and health systems bibliographic databases were used, and contacts were made with practitioners in the field to identify published and grey literature. Ten studies were found that used discrete choice experiments to investigate the job preferences of health care providers. The use of discrete choice experiments techniques enabled researchers to determine the relative importance of different factors influencing health workers' choices. The studies showed that non-pecuniary incentives are significant determinants, sometimes more powerful than financial ones. The identified studies also emphasized the importance of investigating the preferences of different subgroups of health workers. Discrete choice experiments are a valuable tool for informing decision-makers on how to design strategies to address Human Resources problems. As they are relatively quick and cheap survey instruments, discrete choice experiments present various advantages for informing policies in developing countries, where longitudinal labour market data are seldom available. Yet they are complex research instruments requiring expertise in a number of different areas. Therefore it is essential that researchers also understand the potential limitations of discrete choice experiment methods.

Duane Blaauw - One of the best experts on this subject based on the ideXlab platform.

  • Cost-effectiveness analysis of Human Resources Policy interventions to address the shortage of nurses in rural South Africa.
    Social science & medicine (1982), 2012
    Co-Authors: Mylene Lagarde, Duane Blaauw, John Cairns
    Abstract:

    Recent Policy recommendations have called for increased research efforts to inform the design of cost-effective interventions to address the shortage of health workers in rural areas. This paper takes forward the recent use of Discrete Choice Experiments to assess the effects of potential incentives to attract nurses to rural areas. The analysis relies on data collected in South Africa between August and November 2008. Effectiveness measures derived from Discrete Choice Experiments are combined in a Markov model to derive the long-term effects of policies, and costs are evaluated with secondary data. Measures involving the selection of more nursing students who are more likely to accept positions in rural areas are shown to be the most cost-effective interventions. If such policies could not be implemented, the next best options are to offer preferential access to specialist training to nurses willing to work in rural areas.

  • a review of the application and contribution of discrete choice experiments to inform Human Resources Policy interventions
    Human Resources for Health, 2009
    Co-Authors: Mylene Lagarde, Duane Blaauw
    Abstract:

    Although the factors influencing the shortage and maldistribution of health workers have been well-documented by cross-sectional surveys, there is less evidence on the relative determinants of health workers' job choices, or on the effects of policies designed to address these Human Resources problems. Recently, a few studies have adopted an innovative approach to studying the determinants of health workers' job preferences. In the absence of longitudinal datasets to analyse the decisions that health workers have actually made, authors have drawn on methods from marketing research and transport economics and used Discrete Choice Experiments to analyse stated preferences of health care providers for different job characteristics.

  • A review of the application and contribution of discrete choice experiments to inform Human Resources Policy interventions
    Human resources for health, 2009
    Co-Authors: Mylene Lagarde, Duane Blaauw
    Abstract:

    Although the factors influencing the shortage and maldistribution of health workers have been well-documented by cross-sectional surveys, there is less evidence on the relative determinants of health workers' job choices, or on the effects of policies designed to address these Human Resources problems. Recently, a few studies have adopted an innovative approach to studying the determinants of health workers' job preferences. In the absence of longitudinal datasets to analyse the decisions that health workers have actually made, authors have drawn on methods from marketing research and transport economics and used Discrete Choice Experiments to analyse stated preferences of health care providers for different job characteristics. We carried out a literature review of studies using discrete choice experiments to investigate Human Resources issues related to health workers, both in developed and developing countries. Several economic and health systems bibliographic databases were used, and contacts were made with practitioners in the field to identify published and grey literature. Ten studies were found that used discrete choice experiments to investigate the job preferences of health care providers. The use of discrete choice experiments techniques enabled researchers to determine the relative importance of different factors influencing health workers' choices. The studies showed that non-pecuniary incentives are significant determinants, sometimes more powerful than financial ones. The identified studies also emphasized the importance of investigating the preferences of different subgroups of health workers. Discrete choice experiments are a valuable tool for informing decision-makers on how to design strategies to address Human Resources problems. As they are relatively quick and cheap survey instruments, discrete choice experiments present various advantages for informing policies in developing countries, where longitudinal labour market data are seldom available. Yet they are complex research instruments requiring expertise in a number of different areas. Therefore it is essential that researchers also understand the potential limitations of discrete choice experiment methods.

John Cairns - One of the best experts on this subject based on the ideXlab platform.

  • Cost-effectiveness analysis of Human Resources Policy interventions to address the shortage of nurses in rural South Africa.
    Social science & medicine (1982), 2012
    Co-Authors: Mylene Lagarde, Duane Blaauw, John Cairns
    Abstract:

    Recent Policy recommendations have called for increased research efforts to inform the design of cost-effective interventions to address the shortage of health workers in rural areas. This paper takes forward the recent use of Discrete Choice Experiments to assess the effects of potential incentives to attract nurses to rural areas. The analysis relies on data collected in South Africa between August and November 2008. Effectiveness measures derived from Discrete Choice Experiments are combined in a Markov model to derive the long-term effects of policies, and costs are evaluated with secondary data. Measures involving the selection of more nursing students who are more likely to accept positions in rural areas are shown to be the most cost-effective interventions. If such policies could not be implemented, the next best options are to offer preferential access to specialist training to nurses willing to work in rural areas.

  • Modelling Human Resources policies with Markov models: an illustration with the South African nursing labour market
    Health care management science, 2011
    Co-Authors: Mylene Lagarde, John Cairns
    Abstract:

    This article proposes a modelling framework to simulate and assess the immediate and long-term effects of Policy interventions to attract and retain nurses in rural areas. Specifically, we use a Markov model to model the dynamics of movements of health care workers in a professional labour market. A model is developed to simulate the movements of South African nurses between different segments of the labour market over time. The model builds upon a series of assumptions that are stated in details, and uses predictions generated by discrete choice experiments. The results demonstrate the ability of Markov models to model the effects of Human Resources Policy interventions in the short and long run. They highlight the effects of time on the effectiveness of some potential Policy interventions, whose immediate positive effects can be eroded as different adverse effects appear. Despite its complexity, this innovative method provides a transparent and useful tool to inform the design of policies to address rural staff shortages.

Banchuk-petrosova E. V. - One of the best experts on this subject based on the ideXlab platform.

  • GENERAL DESCRIPTION OF PERSONNEL Policy SECURITY SECTOR LEADING COUNTRIES
    Management Science, 2014
    Co-Authors: Banchuk-petrosova E. V.
    Abstract:

    The article discusses the contents of the security sector personnel policies of the leading countries of the world. The features of formation and implementation of personnel policies of the security sector of the leading countries of the world. Revealed strategic priorities of security sector personnel policies of the leading countries of the world. The factors that determine the characteristics of the Human Resources Policy of the security sector in the leading countries of the world.

Cynthia Ozeki - One of the best experts on this subject based on the ideXlab platform.

  • work family conflict policies and the job life satisfaction relationship a review and directions for organizational behavior Human Resources research
    Journal of Applied Psychology, 1998
    Co-Authors: Ellen Ernst Kossek, Cynthia Ozeki
    Abstract:

    This review examines the relationship among work-family (w-f) conflict, policies, and job and life satisfaction. The meta-analytic results show that regardless of the type of measure used (bidirectional w-f conflict, work to family, family to work), a consistent negative relationship exists among all forms of w-f conflict and job-life satisfaction. This relationship was slightly less strong for family to work conflict. Although confidence intervals overlap, the relationship between job-life satisfaction and w-f conflict may be stronger for women than men. Future research should strive for greater consistency and construct development of measures, examination of how sample composition influences findings, and increased integration of Human Resources Policy and role conflict perspectives, including whether a positive relationship between w-f policies and satisfaction is mediated by w-f conflict.