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    Comparing the Health of Populations: Methods to Evaluate and Tailor Population Management Initiatives in the Netherlands.

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    Authors
    Hendrikx, Roy J P
    Drewes, Hanneke W
    Spreeuwenberg, Marieke
    Ruwaard, Dirk
    Baan, Caroline A
    Type
    Article
    Language
    en
    
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    Title
    Comparing the Health of Populations: Methods to Evaluate and Tailor Population Management Initiatives in the Netherlands.
    Published in
    Popul Health Manag 2018; 21(5):422-7
    Publiekssamenvatting
    Health care no longer focuses solely on patients and increasingly emphasizes regions and their populations. Strategies, such as population management (PM) initiatives, aim to improve population health and well-being by redesigning health care and community services. Hence, insight into population health is needed to tailor interventions and evaluate their effects. This study aims to assess whether population health differs between initiatives and to what extent demographic, personal, and lifestyle factors affect these differences. A population health survey that included the Short Form 12 version 2 (SF12, physical and mental health status), Patient Activation Measure 13 (PAM13), and demographic, personal, and lifestyle factors was administered in 9 Dutch PM initiatives. Potential confounders were determined by comparing these factors between PM initiatives using analyses of variance and chi-square tests. The influence of these potential confounders on the health outcomes was studied using multivariate linear regression. Age, education, origin, employment, body mass index, and smoking were identified as potential confounders for differences found between the 9 PM initiatives. Each had a noteworthy influence on all of the instruments' scores. Not all health differences between PM initiatives were explained, as the SF12 outcomes still differed between PM initiatives once corrected. For the PAM13, the differences were no longer significant. Demographic and lifestyle factors should be included in the evaluation of PM initiatives and population health differences found can be used to tailor initiatives. Other factors beyond health care (eg, air quality) should be considered to further refine the tailoring and evaluation of PM initiatives.
    DOI
    10.1089/pop.2017.0101
    PMID
    29091019
    URI
    http://hdl.handle.net/10029/621742
    ae974a485f413a2113503eed53cd6c53
    10.1089/pop.2017.0101
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