Evaluation of community health service institutions responsiveness in Henan Province:Key in-formant survey
10.3969/j.issn.1674-2982.2015.05.009
- VernacularTitle:关键知情人对河南省社区卫生服务机构反应性的评价研究
- Author:
Hui WU
;
Yuchun LI
;
Lin LIN
;
Yu DING
;
Weidong WU
- Publication Type:Journal Article
- Keywords:
Key informant;
Community medical institutions;
Responsiveness;
Fuzzy comprehensive evaluation
- From:
Chinese Journal of Health Policy
2015;(5):48-53
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the responsiveness of community health service institutions in Henan Province. Methods:This research collected information through questionnaire investigations. The object of the investigations is key informants familiar with community health service institutions. Various dimensions of responsiveness within Henan province community health service institutions are determined through a multiple-input pecking order graph. The fuzzy comprehen-sive evaluation method is used to evaluate the level of responsiveness. Responsiveness inequality index is used to measure the distribution of reactions. Results:A total of 431 valid key informants were surveyed. The various dimensions of the questionnaire of Cronbach alpha coefficient was greater than 0. 623;the total scale of the Cronbach alpha coefficient was 0. 850;the correlation coefficient of each dimension of test-retest reliability were greater than 0. 907. The levels of responsive-ness and distribution index were 8. 33 and 0. 2744, respectively;each dimension by order of importance:timely attention>dignity>infrastructure>communication>confidentiality >social support >selective >autonomy. Approximately 50% of key informants considered that vulnerable groups in community health service institutions were sometimes or often treated unfairly. Conclusion:Key informants considered the responsiveness level of overall higher community health service institu-tions in Henan Province was high, and the distribution of responsiveness was relative equilibrium. However, there is a large shortage of infrastructure, privacy protection, doctor-patient communication, etc.
