Development and reliability and validity test of continuous nursing service demand scale for adult cancer survivors
Objective To develop the continuous nursing service demand scale for adult cancer survivors and test its reliability and va-lidity.Methods Guided by new humanistic need theory,the first draft of the scale was formed by reviewing the literature,conducting semi-structured interviews,Delphi expert correspondence and pre-survey.In June 2022,531 patients from seven tertiary class A hospitals in Yun-nan Province,Sichuan Province,He'nan Province,Hebei Province and Liaoning Province were selected for item analysis and exploratory factor analysis to form a formal scale.In August 2022,784 patients from six tertiary class A hospitals in Zhejiang Province,Yunnan Province,He'nan Province and Liaoning Province were selected to evaluate the structural validity and reliability of the scale.Results Continuous care needs scale for adult cancer survivors included 4 dimensions and 25 items,including symptom control/remission needs,health service needs,emo-tional and psychological needs and family/social support needs.The content validity of the scale was 0.940,and the content validity of each i-tem was 0.875～1.Four common factors were extracted by exploratory factor analysis,and the cumulative variance contribution rate was 64.619%.The confirmatory factor analysis scale model fitted well.The convergent validity was ideal.The average variance extraction(AVE)of each dimension was＞0.5,and the combination reliability(CR)was＞0.8.The discriminant validity of the scale was ideal,and there was a significant correlation between each dimension(P＜0.01).The correlation coefficient were all less than the corresponding AVE square root.The Cronbach's α coefficient was 0.945,the split-half reliability was 0.867,and the test-retest reliability was 0.726.Conclusion The con-tinuous care needs scale for adult cancer survivors has good reliability and validity,and can be used as a measurement tool for the continuing care needs of adult cancer survivors.
cancer survivorcontinuous carescale developmentreliabilityvalidity
NETL
NSTL
万方数据
维普
