Evidence map›Paper›PMID 35669287›Full record

ArticleAsia-Pacific journal of oncology nursing2022

Psychometric properties of the persian version of the short-form survivor unmet needs survey (SF-SUNS) among patients with cancer.

Elahe Ramezanzade Tabriz, Monir Ramezani, Zahra Sadat Manzari, Jamshid Jamali, Abbas Heydari

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Elahe Ramezanzade TabrizDepartment of Medical Surgical Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Monir RamezaniNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Zahra Sadat ManzariNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Jamshid JamaliSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Abbas HeydariNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (χ 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.

Indexed as

Cancer patientsPsychometricsReliabilityUnmet needsValidity

Identifiers

PMID35669287
PMCPMC9166368

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