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

Articles

Page Path: HOME > J Korean Acad Nurs > Volume 40(4); 2010 > Article

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

24 Views
0 Download
5 Scopus

prev next

Full Article

Download PDF

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

REFERENCES

1. Cancer facts and figures. American Cancer Society. 2005;Retrieved December 2, 2009. from http://www.cancer.org.
2. Bonevski B, Sanson-Fisher R, Girgis A, Burton L, Cook P, Boyes A. Evaluation of an instrument to assess the needs of patients with cancer. Cancer. 2000;88:217–225.Article PubMed
3. Brink PJ, Wood MJ. Advanced design in nursing research. 1998;2nd ed. Thousand Oaks, CA, Sage.
4. Fayer PM, Machin D. Quality of life assessment, analysis, and interpretation. 2001;Chichester, West Sussex, UK, Wiley.
5. Foot G, Sanson-Fisher R. Measuring the unmet needs of people living with cancer. Cancer Forum. 1995;19:131–135.
6. alloway S, Graydon J, Harrison D, Evans-Boyden B, Palmer-Wickham S, Burlein-Hall S, et al. Information needs of women with a recent diagnosis of breast cancer: Development and initial testing of a tool. Journal of Advanced Nursing. 1997;25:1175–1183.Article PubMed PDF
7. Heather G. Acquiring dependence and independence: Atheoretical orientation. Journal of Genetic Psychology. 1955;81:277–291.
8. Hodgkinson K, Butow GE, Hunt S, Pendlebury KM, Hobbs SK, Wain G. The development and evaluation of a measure to assess cancer survivors' unmet supportive care needs. Psycho-Oncology. 2007;16:796–804.Article PubMed
9. Holmes CA, Warelow PJ. Culture, needs and nursing: A critical theory approach. Journal of Advanced Nursing. 1997;25:463–470.Article PubMed
10. ughes LC, Hodgson NA, Muller P, Robibson LA, Mc-Corkle R. Information needs of elderly postsurgical cancer patients during the transition from hospital to home. Journal of Nursing Scholarship. 2000;32:25–30.Article PubMed
11. Larsson IL, Jönsson C, Olsson AC, Gard G, Johansson K. Women's experience of physical activity following breast cancer treatment. Scandinavia Journal of Caring Science. 2008;22:422–429.Article
12. Lee EH, Choi J, Lim H, Seo M, Kim HC. Development and test of an information needs scale for outpatientsundergoing chemotherapy. Cancer Research and Treatment. 2002;34:97–103.Article PubMed
13. Lee EH, Chun M, Wang HJ, Lim HY, Choi JH. Multidimensional constructs of the EORTC quality of life questionnaire (QLQ-C30) in Korean cancer patients with heterogeneous diagnosis. Cancer Research and Treatment. 2005;37:148–156.PubMed PMC
14. Lee EH, Oh YT, Moon SM, Lee HJ, Cho SY, Kim HJ. Survey for needs of patients with cancer. 2008;12;Suwon, Korea, edited report: 20080305846.
15. Liss PE. Health care needs: Meaning and measurement. 1993;Avebury, Aldershot.
16. Luker KA, Beaver K, Leinster SJ, Owens RG. Information needs and sources of information for women with breast cancer: A follow-up study. Journal of Advanced Nursing. 1996;23:478–495.
17. Lynn MR. Determination and qualification of content validity. Nursing Research. 1986;35:382–385.PubMed
18. cHorney CA, Ware JE, Raczek AE. The MOS 36-item short from survey (SF-36): II. Psychometric and clinical tests of validation in measuring physical and mental health constructs. Medical Care. 1993;31:247–263.Article PubMed
19. Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, Carbone PP. Toxicity and response criteria of the eastern cooperative oncology group. American Journal of Clinical Oncology. 1982;5:649–655.Article PubMed
20. Oxford University. The new Oxford Dictionary of English. 1999;Oxford, Oxford University Press.
21. Pett MA, Lackey NR, Sullivan JJ. Making sense of factor analysis. 2003;Thousand Oaks, Sage.
22. Sanson-Fisher R, Girgis A, Boyes A, Bonevski B, Burton L, Cook P. The unmet supportive care needs of patients with cancer. Cancer. 2000;88:226–236.Article PubMed
23. Seedhouse D. Fortress NHS: A philosophical review of the national health service. 1994;Chichester, Jone Wiley and Sons.
24. Tabachnick BG, Fidell LS. Using multivariate statistics. 1996;3rd ed. New York, NY, Harper Collins.
25. Van Der Molen B. Relating information needs to the cancer experience: Themes from six cancer narratives. European Journal of Cancer Care. 2000;9:48–54.PubMed
26. Ware JE, Gandek B. Methods for testing data quality, scaling assessments and reliability: The IQOLA project approach. Journal of Clinical Epidemiology. 1998;51:945–952.Article PubMed
27. Ware JE, Josinski M, Gandek B. SF-36® Health survey: Manual & interpretation guide. 2000;Lincoln, Rhode Island, Quali-Metric.
28. Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 health survey: Manual and institute. 1993;Boston, MA, The Health Institute, New England Medical Center.
29. Wen KY, Gustafson DH. Needs assessment for cancer patients and their families. Health Quality of Life Outcomes. 2004;2:1–12.PubMed PMC
30. Wilson SE, Anderson MR, Meischke H. Meeting the needs of rural breast cancer survivors: What still needs to be done? Journal of Women's Health and Gender-Based Medicine. 2000;9:667–677.Article
31. Yi MS, Lee EO, Park YS, Choi KJ, Noh DY. A descriptive study on educational and counselling needs of breast cancer patients based on the treatment stages. Journal of Korean Oncology Nursing. 2003;3:5–14.

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

Citations

Citations to this article as recorded by

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

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

XML Download

Figure

We recommend

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