Literature DB >> 21154090

Factors associated with Americans' ratings of health care quality: what do they tell us about the raters and the health care system?

Wen-Ying Sylvia Chou1, Lin Chun Wang, Lila J Finney Rutten, Richard P Moser, Bradford W Hesse.   

Abstract

Consumer satisfaction ratings of health care quality represent a commonly used measure of health care performance. Identifying factors associated with ratings will help us understand the relative influence of individuals' sociodemographic and health characteristics on satisfaction level, thus informing policy making and clinical practice. Existing research has yielded mixed results on key predictors of consumer ratings. Using nationally representative data, this study aims to identify factors associated with Americans' ratings of health care quality. Data from 2008 Health Information National Trends Survey (HINTS) were analyzed using weighted multinomial logistic regressions to estimate consumer ratings. Predictor variables included demographics, health status, care access, and attitude and perceptions about health. Overall ratings were positively skewed; 70% of respondents rated care as "excellent" or "very good." Minority race, psychological distress, not having had cancer, not having a regular health care provider, not having health insurance, lacking confidence in self-care, and avoidance of doctors were significantly associated with lower ratings. The study identifies the psychosocial characteristics associated with lower consumer ratings. The results highlight the importance of using multiple approaches to assess quality of care, including considering patient characteristics, and contribute to the evidence base for evaluating overall quality of care at the dawn of health care reform.

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Year:  2010        PMID: 21154090     DOI: 10.1080/10810730.2010.522692

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  7 in total

1.  Picking up the pace: changes in method and frame for the health information national trends survey (2011-2014).

Authors:  Lila J Finney Rutten; Terisa Davis; Ellen Burke Beckjord; Kelly Blake; Richard P Moser; Bradford W Hesse
Journal:  J Health Commun       Date:  2012

2.  Patient Centered Medical Home Care Among Near-Old and Older Race/Ethnic Minorities in the US: Findings from the Medical Expenditures Panel Survey.

Authors:  Wassim Tarraf; Gail Jensen; Hector M González
Journal:  J Immigr Minor Health       Date:  2017-12

3.  Race, income, and education: associations with patient and family ratings of end-of-life care and communication provided by physicians-in-training.

Authors:  Ann C Long; Ruth A Engelberg; Lois Downey; Erin K Kross; Lynn F Reinke; Laura Cecere Feemster; Danae Dotolo; Dee W Ford; Anthony L Back; J Randall Curtis
Journal:  J Palliat Med       Date:  2014-03-04       Impact factor: 2.947

4.  Assessment of Discordance Between Physicians and Family Members Regarding Prognosis in Patients With Severe Acute Brain Injury.

Authors:  Whitney A Kiker; Rachel Rutz Voumard; Leah I B Andrews; Robert G Holloway; Lyndia C Brumback; Ruth A Engelberg; J Randall Curtis; Claire J Creutzfeldt
Journal:  JAMA Netw Open       Date:  2021-10-01

5.  An integrative model of patients' perceived value of healthcare service quality in North Cyprus.

Authors:  Mert Sanıl; Fehiman Eminer
Journal:  Arch Public Health       Date:  2021-12-20

6.  Access to Electronic Personal Health Records Among Patients With Multiple Chronic Conditions: A Secondary Data Analysis.

Authors:  Alexandra J Greenberg; Angela L Falisi; Lila J Finney Rutten; Wen-Ying Sylvia Chou; Vaishali Patel; Richard P Moser; Bradford W Hesse
Journal:  J Med Internet Res       Date:  2017-06-02       Impact factor: 7.076

7.  Patient experience of hospital care in China: major findings from the Chinese Patient Experience Questionnaire Survey (2016-2018).

Authors:  Guangyu Hu; Yin Chen; Qiannan Liu; Shichao Wu; Jing Guo; Shiyang Liu; Zijuan Wang; Pengyu Zhao; Jing Sun; Linlin Hu; Huixuan Zhou; Li Luo; Ying Mao; Jack Needleman; Jing Ma; Yuanli Liu
Journal:  BMJ Open       Date:  2019-09-20       Impact factor: 2.692

  7 in total

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