Dongjuan Xu1,2, Jie Gao1, Liqin Chen3, Huanyu Mou1, Xiaorong Wang4, Jiying Ling5, Kefang Wang6. 1. School of Nursing, Shandong University, No. 44, Wenhua Xi Road, Jinan, 250012, Shandong, China. 2. School of Nursing, Purdue University, West Lafayette, IN, USA. 3. Department of Nursing Care, Henan Vocational College of Nursing, Anyang, Henan, China. 4. Department of Gerontology, Jinan Central Hospital, Jinan, Shandong, China. 5. College of Nursing, Michigan State University, East Lansing, MI, USA. 6. School of Nursing, Shandong University, No. 44, Wenhua Xi Road, Jinan, 250012, Shandong, China. wangkf@sdu.edu.cn.
Abstract
OBJECTIVE: To develop and validate a quality of life (QOL) questionnaire for nursing home (NH) residents in mainland China. METHODS: A cross-sectional study including a development sample (n = 176) and validation sample (n = 371) of NH residents aged 60 and older was conducted between 2015 and 2016 in Jinan, Shandong Province, China. Resident interviews, literature reviews, expert panels, and pilot studies were used to identify QOL domains and items pertinent to NH life. Exploratory and confirmatory factor analysis were used to develop and validate a QOL questionnaire. Reliability (internal consistency, spilt-half reliability, and test-retest reliability) and validity (construct and criterion validity) were evaluated for the questionnaire. RESULTS: The self-report Chinese NH QOL questionnaire had 9 domains and 38 items including physical health (4 items), food enjoyment (6 items), security (3 items), environmental comfort (5 items), autonomy (2 items), meaningful activity (3 items), interrelationship (6 items), family relationships (3 items), and mood (6 items). The nine-factor model was confirmed with the following fit indices: χ2/df = 1.872, root mean square error of approximation = 0.049, comparative fit index = 0.913, and Tucker-Lewis index = 0.903. The 38-item NH QOL questionnaire showed satisfactory construct validity, criterion validity, internal consistency (Cronbach's alpha = 0.89, spilt-half reliability = 0.73, test-retest reliability = 0.76). CONCLUSIONS: The NH QOL questionnaire appears to be a reliable and valid instrument and should be incorporated into a set of quality measures for use with NH residents in mainland China.
OBJECTIVE: To develop and validate a quality of life (QOL) questionnaire for nursing home (NH) residents in mainland China. METHODS: A cross-sectional study including a development sample (n = 176) and validation sample (n = 371) of NH residents aged 60 and older was conducted between 2015 and 2016 in Jinan, Shandong Province, China. Resident interviews, literature reviews, expert panels, and pilot studies were used to identify QOL domains and items pertinent to NH life. Exploratory and confirmatory factor analysis were used to develop and validate a QOL questionnaire. Reliability (internal consistency, spilt-half reliability, and test-retest reliability) and validity (construct and criterion validity) were evaluated for the questionnaire. RESULTS: The self-report Chinese NH QOL questionnaire had 9 domains and 38 items including physical health (4 items), food enjoyment (6 items), security (3 items), environmental comfort (5 items), autonomy (2 items), meaningful activity (3 items), interrelationship (6 items), family relationships (3 items), and mood (6 items). The nine-factor model was confirmed with the following fit indices: χ2/df = 1.872, root mean square error of approximation = 0.049, comparative fit index = 0.913, and Tucker-Lewis index = 0.903. The 38-item NH QOL questionnaire showed satisfactory construct validity, criterion validity, internal consistency (Cronbach's alpha = 0.89, spilt-half reliability = 0.73, test-retest reliability = 0.76). CONCLUSIONS: The NH QOL questionnaire appears to be a reliable and valid instrument and should be incorporated into a set of quality measures for use with NH residents in mainland China.
Keywords:
Instrument development; Nursing home; Quality of life; Reliability; Validity
Authors: Jane L Givens; Richard N Jones; Kathleen M Mazor; Holly G Prigerson; Susan L Mitchell Journal: J Am Med Dir Assoc Date: 2015-05-01 Impact factor: 4.669
Authors: Lawrence S Honig; Bruno Vellas; Michael Woodward; Mercè Boada; Roger Bullock; Michael Borrie; Klaus Hager; Niels Andreasen; Elio Scarpini; Hong Liu-Seifert; Michael Case; Robert A Dean; Ann Hake; Karen Sundell; Vicki Poole Hoffmann; Christopher Carlson; Rashna Khanna; Mark Mintun; Ronald DeMattos; Katherine J Selzler; Eric Siemers Journal: N Engl J Med Date: 2018-01-25 Impact factor: 91.245