Demographic Predictors of the Perceived Likelihood of Hiring a Health Care Advocate
| Autor: | Lauren E. McKinley, Charles Van Liew, Terry A. Cronan, Mathew M. Mansoor, Symone A. McKinnon |
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| Rok vydání: | 2017 |
| Předmět: |
Estimation
business.industry 030503 health policy & services Maximum likelihood General Medicine Variance (accounting) Structural equation modeling 03 medical and health sciences Social support 0302 clinical medicine Health care 030212 general & internal medicine 0305 other medical science business Psychology Demography |
| Zdroj: | Californian Journal of Health Promotion. 15:59-67 |
| ISSN: | 1545-8725 |
| DOI: | 10.32398/cjhp.v15i3.1909 |
| Popis: | Background and Significance: The field of health care advocacy developed in response to the growing complexity of the health care system. A Health Care Advocate (HCA) is a trained professional who can help patients navigate the health care system. In the present study we investigated the effects of social support, number of people with whom individuals reside, gender, age, income, and race on the perceived likelihood of hiring an HCA for oneself. Method: Nine hundred and eighty-seven adults (Mage = 45.48 years, SD = 17.33 years, 55.4% female) were randomly selected and asked to complete a questionnaire. To explore the relationships of the perceived likelihood of hiring an HCA, path-analytic models using full-information maximum likelihood (FIML) estimation were tested, using Stata 12.1. Results: The model fit well statistically, ? 2 (5, N = 987) = 8.50, p = 0.131, and descriptively, CFI = 0.999, RMSEA = 0.027, pclose = 0.891, CD = 0.205. Conclusion: Overall, the model accounted for 4.30% of the variance in Hire HCA. More research is needed to better understand the role of an HCA in our complex and everchanging health care system. |
| Databáze: | OpenAIRE |
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