PMID- 25769327
OWN - NLM
STAT- MEDLINE
DCOM- 20150929
LR  - 20191210
IS  - 1672-7347 (Print)
IS  - 1672-7347 (Linking)
VI  - 40
IP  - 2
DP  - 2015 Feb
TI  - [Localization of the assessment of chronic illness care and item evaluation].
PG  - 188-93
LID - 10.11817/j.issn.1672-7347.2015.02.012 [doi]
AB  - OBJECTIVE: To translate the English version of the assessment of chronic illness 
      care (ACIC) to Chinese, to conduct a trial in Hunan province and to develop a 
      Chinese version ACIC. METHODS: According to the WHO rules, we translated the 
      English version of the ACIC to Chinese and took the culture factor into account. 
      Three hundred and ninety persons, who engaged in the work of chronic disease 
      management in primary medical and health services in Hunan province, were 
      enrolled for this study. One hundred and eighty three valid questionnaires were 
      randomly selected. Six methods including discrete tendency method, good-poor 
      analysis, correlation analysis, stepwise regression analysis, Cronbach's alpha 
      coefficient and factor analysis were used for evaluation the questionnaire items. 
      RESULTS: The items in Chinese version ACIC showed as follows: 1) good 
      sensitivity. The standard deviation of each item was more than 2 and the P value 
      from the t test between the good and poor group was less than 0.001; 2) good 
      representation. The correlation coefficients range of each item with the total 
      score and each dimension score was 0.588-0.916; 3) high internal consistency. 
      Cronbach's alpha coefficient for the total scale was 0.975, and for each 
      dimension range was 0.854-0.936; 4) independent. Factor loadings were greater 
      than 0.40 entries, and factor loadings ranged from 0.487-0.798; 5) importance. 
      Stepwise regression analysis alpha(in)=0.01, alpha(out)=0.05) showed 34 items were kept 
      in the equation. CONCLUSION: Items of Chinese version ACIC retains ACIC 7 
      dimensions of 34 items in the original English version, which are sensitivity and 
      typical with the internal consistency, independence and importance.
FAU - Cui, Hongyan
AU  - Cui H
AD  - Department of Epidemiology and Health Statistics, School of Public Health, 
      Central South University, Changsha 410078, China.
FAU - Hu, Pingcheng
AU  - Hu P
FAU - Xu, Shuang
AU  - Xu S
FAU - Jeffrey, Fuller
AU  - Jeffrey F
FAU - Sun, Mei
AU  - Sun M
FAU - Li, Huayan
AU  - Li H
FAU - Feng, Hui
AU  - Feng H
LA  - chi
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Validation Study
PL  - China
TA  - Zhong Nan Da Xue Xue Bao Yi Xue Ban
JT  - Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. 
      Medical sciences
JID - 101230586
SB  - IM
MH  - China
MH  - *Chronic Disease
MH  - Factor Analysis, Statistical
MH  - Humans
MH  - Language
MH  - Regression Analysis
MH  - *Surveys and Questionnaires
EDAT- 2015/03/15 06:00
MHDA- 2015/09/30 06:00
CRDT- 2015/03/15 06:00
PHST- 2015/03/15 06:00 [entrez]
PHST- 2015/03/15 06:00 [pubmed]
PHST- 2015/09/30 06:00 [medline]
AID - 10.11817/j.issn.1672-7347.2015.02.012 [doi]
PST - ppublish
SO  - Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2015 Feb;40(2):188-93. doi: 
      10.11817/j.issn.1672-7347.2015.02.012.