Tabriz ER, Ramezani M, Manzari ZS, Jamali J, Heydari A. Psychometric Properties of the Persian Version of the Short-Form Survivor Unmet Needs Survey (SF-SUNS) among Cancer Patients.
Asia Pac J Oncol Nurs 2022;
9:100074. [PMID:
35669287 PMCID:
PMC9166368 DOI:
10.1016/j.apjon.2022.100074]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 04/20/2022] [Indexed: 11/28/2022] Open
Abstract
Objective
Accurate identification of the unmet needs of patients with cancer and with a valid and reliable scale leads to the improvement of planning and implementation of nursing care. Thus, this study aims to translate the Short-Form Survivor Unmet Needs Survey (SF-SUNS) into Persian and to assess the psychometric properties of the Persian version among patients with cancer in Iran.
Methods
This study was conducted by methodological design. The translation of SF-SUNS was performed by translation protocol of the Quality of Life Assessment. Qualitative assessment of the face validity was conducted through cognitive interview and content validity was assessed through expert panel. This study used a convenience sampling method for 757 patients with cancer referring to Omid and Imam Reza hospitals in Mashhad, Iran. To determine the construct validity, confirmatory factor analysis and convergent validity were employed. Cronbach's alpha and intraclass correlation coefficient were calculated for reliability.
Results
Total score of unmet needs was 2.20 ± 0.73, which indicates the average level of unmet needs in patients with cancer. Content validity ratio and content validity index scores were 0.88 and 0.91, respectively, Cronbach's alpha coefficient was 0.89, and intraclass correlation coefficient was 0.91. Based on confirmatory factor analysis, goodness-of-fit indices confirmed the model fit (χ2/df = 4.43, GFI = 0.90, TLI/NNFI = 0.91, CFI = 0.90, RMSEA = 0.067). In the subscale of unmet work and financial needs, 4 items had a factor loading lower than 0.4, which were omitted from the Persian version. The results revealed a significant difference in the unmet needs and quality of life of patients with cancer (P < 0.001).
Conclusions
The Persian version of SF-SUNS has desirable psychometric properties. It can be used to design and assess interventions to improve the quality of caring, cancer management, and as well as interaction between patients and healthcare providers.
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