Eun-Hyun Lee; Seongmi Moon; Soo-Yeon Cho; Young Taek Oh; Mison Chun; Sung Hwan Kim; Jae-Sung Kim; Hye Kyung Kim

doi:10.4040/jkan.2010.40.4.551

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Original Article
Psychometric Evaluation of a Need Scale for Cancer Patients Undergoing Follow-up Care: Eun-Hyun Lee, Seongmi Moon, Soo-Yeon Cho, Young Taek Oh, Mison Chun, Sung Hwan Kim, Jae-Sung Kim, Hye Kyung Kim; Journal of Korean Academy of Nursing 2010;40(4):551-560.
DOI: https://doi.org/10.4040/jkan.2010.40.4.551
Published online: August 31, 2010

¹Associate Professor, Graduate School of Public Health, Ajou University, Suwon, Korea.

²Assistant Professor, Nursing Science University of Ulsan, Ulsan, Korea.

³MPH, Graduate School of Public Health, Ajou University, Suwon, Korea.

⁴Professor, School of Medicine, Ajou University, Suwon, Korea.

⁵Associate Professor, St. Vincent's Hospital, Catholic University, Suwon, Korea.

⁶Professor, Seoul National University Bundang Hospital, Seongnam, Korea.

⁷Director, Suwon Yeongtong-gu Health Center, Suwon, Korea.

Address reprint requests to: Lee, Eun-Hyun. Graduate School of Public Health, Ajou University, San 5 Woncheon-dong, Yeongtong-gu, Suwon 443-721, Korea. Tel: 82-31-219-5296, Fax: 82-31-219-5084, ehlee@ajou.ac.kr

• Received: January 21, 2010 • Accepted: August 16, 2010

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Abstract
REFERENCES

Abstract

Purpose
The purpose of this present study was to develop and evaluate the psychometric properties of a needs scale for patients with cancer undergoing follow-up care (NS-C).
Methods
A preliminary NS-C of 48 was derived from literature reviews and in-depth interviews with patients with cancer. Content validation of the items was established by oncology physicians and nurses. Each item was scored on a five-point Likert scale. The preliminary NS-C and Eastern Cooperative Oncology Group (ECOG) performance status questionnaires were administered to 873 patients with cancer recruited from three university hospitals. The data were analyzed using factor analysis, multidimensional scaling analysis, ANOVA, Pearson correlation coefficients, and Cronbach's alpha.
Results
From the factor analysis, 25 significant items in six subscales were derived. The subscales were named physical symptoms, diet and exercise, support, relationship with health professionals, treatment/prognosis, and keeping mind under control. The NS-C also established item convergent and discriminant validity, and known-groups validity. Cronbach's alpha of the subscales ranged from .90 to .92.
Conclusion
This study suggests that the NS-C is an easy, reliable and valid instrument to measure the needs of patients with cancer. Health professionals may use the NS-C for patients with cancer both in practice and research.
Keywords: Oncology; Need; Reliability; Validity

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Figure 1

Positioning map by multidimensional scale analysis of items from 24 to 28.

Table 1

Characteristics of Participants in Interviews, (N=30)

Table 2

Characteristics of Participants for Psychometric Evaluation, (N=873)

Table 3

Frequencies and Percentages of Missing Values and Factor Loadings

Criterion value of loading>.50.

a Kaiser-Meyer-Olkin (KMO)=.94, Bartlett's test of sphericity=23,296.07, p<.001; ^bKaiser-Meyer-Olkin (KMO)=.93, Bartlett's test of sphericity=19,846.11, p<.001; ^cKaiser-Meyer-Olkin (KMO)=.93, Bartlett's test of sphericity=18,941.00, p<.001; ^dKaiser-Meyer-Olkin (KMO)=.92, Bartlett's test of sphericity=6,233.51, p<.001.

Table 4

Inter-subscale Correlations and Reliability Coefficients of Each Subscale

^*p<.001.

( )=Cronabch's alpha of each subscale; PS=physical symptoms; DE=diet and exercise; S=support; RHP=relationship with health professionals; TP=treatment and prognosis; KMC=keeping mind under control.

Table 5

Multitrait/Multi-Item Matrix (Correlation Matrix Corrected for Overlap) for Item Convergent and Item Discriminant

PS=physical symptoms; DE=diet and exercise; S=support; RHP=relationship with health professionals; TP=treatment and prognosis; KMC=keeping mind under control. Standard error of a correlation coefficient=1 divided by the square root of the sample.

Figure & Data

REFERENCES

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Psychometric Evaluation of a Need Scale for Cancer Patients Undergoing Follow-up Care

J Korean Acad Nurs. 2010;40(4):551-560. Published online August 31, 2010

DOI: https://doi.org/10.4040/jkan.2010.40.4.551

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Psychometric Evaluation of a Need Scale for Cancer Patients Undergoing Follow-up Care

Figure 1 Positioning map by multidimensional scale analysis of items from 24 to 28.

Figure 1

Psychometric Evaluation of a Need Scale for Cancer Patients Undergoing Follow-up Care

Table 1

Characteristics of Participants in Interviews, (N=30)

Table 2

Characteristics of Participants for Psychometric Evaluation, (N=873)

Table 3

Frequencies and Percentages of Missing Values and Factor Loadings

Criterion value of loading>.50.

Table 4

Inter-subscale Correlations and Reliability Coefficients of Each Subscale

^*p<.001.

( )=Cronabch's alpha of each subscale; PS=physical symptoms; DE=diet and exercise; S=support; RHP=relationship with health professionals; TP=treatment and prognosis; KMC=keeping mind under control.

Table 5

Multitrait/Multi-Item Matrix (Correlation Matrix Corrected for Overlap) for Item Convergent and Item Discriminant

Table 1 Characteristics of Participants in Interviews, (N=30)

Table 2 Characteristics of Participants for Psychometric Evaluation, (N=873)

Table 3 Frequencies and Percentages of Missing Values and Factor Loadings

Criterion value of loading>.50.

Table 4 Inter-subscale Correlations and Reliability Coefficients of Each Subscale

^*p<.001.

( )=Cronabch's alpha of each subscale; PS=physical symptoms; DE=diet and exercise; S=support; RHP=relationship with health professionals; TP=treatment and prognosis; KMC=keeping mind under control.

Table 5 Multitrait/Multi-Item Matrix (Correlation Matrix Corrected for Overlap) for Item Convergent and Item Discriminant