Journal article
Patients' sense of responsibility to healthcare providers and its predictors: A national cross-sectional survey in China
PloS one, Vol.13(12), pp.e0207361-e0207361
2018
DOI: 10.1371/journal.pone.0207361
PMCID: PMC6281211
PMID: 30517118
Abstract
To evaluate patients' sense of responsibility to healthcare providers and to determine its predictors using on a national sample in China.
We conducted a national cross-sectional survey in China with a stratified cluster sample of patients treated in 77 hospitals between July 2014 and April 2015. Patients' sense of responsibility to healthcare providers was measured with four questions assessing patients' perceptions regarding their responsibilities to respect doctors, respect nurses, coordinate with health professionals, and comply with hospital rules. Predictors included patient sociodemographic characteristics and their past hospitalization experience.
Small proportions of respondents reported that they perceived having no responsibility to respect doctors (8.9%), respect nurses (7.9%), comply with hospital rules (6.7%), or coordinate with health professionals (6.3%). Multivariate regression analyses showed that the strongest predictor of patients' sense of responsibility to healthcare providers was patinets' trust in health professionals, followed by patients' education level. Familiarity with healthcare professionals and past hospitalization frequency were inversely associated with patients' sense of responsibility to healthcare providers.
Although only a small proportion of the patients reported feeling no or low sense of responsibility to healthcare providers, the lack of respect and collaboration from these patients can negatively affect patient-provider relationships. Healthcare administrators need to communicate clearly with the patients and the public about the role of patients and the limitations of medicine in order to instill a sense of patients' responsibility.
Details
- Title: Subtitle
- Patients' sense of responsibility to healthcare providers and its predictors: A national cross-sectional survey in China
- Creators
- Beizhu Ye - Huazhong University of Science and TechnologyXinzi Wang - International BaccalaureateFang Wang - Huazhong University of Science and TechnologyPing Zhang - Huazhong University of Science and TechnologyYao Cheng - Huazhong University of Science and TechnologyYi Sun - Huazhong University of Science and TechnologyHongwei Jiang - Huazhong University of Science and TechnologyHua Qin - Huazhong University of Science and TechnologyAiguo Liu - Huazhong University of Science and TechnologyYang Liu - Wuhan Union HospitalXi Zhu - University of IowaNaixing Zhang - Planning Commission (India)Yuan Liang - Huazhong University of Science and Technology
- Resource Type
- Journal article
- Publication Details
- PloS one, Vol.13(12), pp.e0207361-e0207361
- DOI
- 10.1371/journal.pone.0207361
- PMID
- 30517118
- PMCID
- PMC6281211
- NLM abbreviation
- PLoS One
- ISSN
- 1932-6203
- eISSN
- 1932-6203
- Grant note
- DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 71273098
- Language
- English
- Date published
- 2018
- Academic Unit
- Health Management and Policy
- Record Identifier
- 9984364425802771
Metrics
11 Record Views