nach oben

Erschienen in:

01.10.2015

Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients

verfasst von: Roxanne E. Jensen, Arnold L. Potosky, Bryce B. Reeve, Elizabeth Hahn, David Cella, James Fries, Ashley Wilder Smith, Theresa H. M. Keegan, Xiao-Cheng Wu, Lisa Paddock, Carol M. Moinpour

Erschienen in: Quality of Life Research | Ausgabe 10/2015

Einloggen, um Zugang zu erhalten

Abstract

Purpose

To evaluate the validity of the Patient-Reported Outcomes Measurement Information System (PROMIS) physical function measures in a diverse, population-based cancer sample.

Methods

Cancer patients 6–13 months post-diagnosis (n = 4840) were recruited for the Measuring Your Health study. Participants were diagnosed between 2010 and 2013 with non-Hodgkin lymphoma or cancers of the colorectum, lung, breast, uterus, cervix, or prostate. Four PROMIS physical function short forms (4a, 6b, 10a, and 16) were evaluated for validity and reliability across age and race–ethnicity groups. Covariates included gender, marital status, education level, cancer site and stage, comorbidities, and functional status.

Results

PROMIS physical function short forms showed high internal consistency (Cronbach’s α = 0.92–0.96), convergent validity (fatigue, pain interference, FACT physical well-being all r ≥ 0.68), and discriminant validity (unrelated domains all r ≤ 0.3) across survey short forms, age, and race–ethnicity. Known-group differences by demographic, clinical, and functional characteristics performed as hypothesized. Ceiling effects for higher-functioning individuals were identified on most forms.

Conclusions

This study provides strong evidence that PROMIS physical function measures are valid and reliable in multiple race–ethnicity and age groups. Researchers selecting specific PROMIS short forms should consider the degree of functional disability in their patient population to ensure that length and content are tailored to limit response burden.

Ness, K. K., Wall, M. M., Oakes, J. M., Robison, L. L., & Gurney, J. G. (2006). Physical performance limitations and participation restrictions among cancer survivors: a population-based study. Annals of Epidemiology, 16(3), 197–205.CrossRefPubMed

Courneya, K. S., & Friedenreich, C. M. (2007). Physical activity and cancer control. Seminars in Oncology Nursing, 23(4), 242–252.CrossRefPubMed

Stafford, R. S., & Cyr, P. L. (1997). The impact of cancer on the physical function of the elderly and their utilization of health care. Cancer, 80(10), 1973–1980.CrossRefPubMed

Izano, M., Satariano, W. A., Hiatt, R. A., & Braithwaite, D. (2013). The impact of functional limitations on long-term outcomes among African-American and white women with breast cancer: a cohort study. BMJ Open, 3(10), e003232.PubMedCentralCrossRefPubMed

Cella, D. F., Tulsky, D. S., Gray, G., Sarafian, B., Linn, E., Bonomi, A., et al. (1993). The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. Journal of Clinical Oncology, 11(3), 570–579.PubMed

Ware, J. E, Jr, & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483.CrossRefPubMed

Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap cooperative group during its first two years. Medical Care, 45(5 Suppl 1), S3–S11.PubMedCentralCrossRefPubMed

DeWalt, D. A., Rothrock, N., Yount, S., & Stone, A. A. (2007). Evaluation of item candidates: The PROMIS qualitative item review. Medical Care, 45(5 Suppl 1), S12–S21.PubMedCentralCrossRefPubMed

Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45(5 Suppl 1), S22–S31.CrossRefPubMed

10.

Schag, C. C., Heinrich, R. L., & Ganz, P. A. (1984). Karnofsky performance status revisited: Reliability, validity, and guidelines. Journal of Clinical Oncology, 2(3), 187–193.PubMed

11.

Peus, D., Newcomb, N., & Hofer, S. (2013). Appraisal of the Karnofsky performance status and proposal of a simple algorithmic system for its evaluation. BMC Medical Informatics and Decision Making, 13(1), 72.PubMedCentralCrossRefPubMed

12.

Fries, J., Rose, M., & Krishnan, E. (2011). The PROMIS of better outcome assessment: responsiveness, floor and ceiling effects, and Internet administration. Journal of Rheumatology, 38(8), 1759–1764.CrossRefPubMed

13.

Stucki, G., Stucki, S., Bruhlmann, P., & Michel, B. A. (1995). Ceiling effects of the Health Assessment Questionnaire and its modified version in some ambulatory rheumatoid arthritis patients. Annals of the Rheumatic Diseases, 54(6), 461–465.PubMedCentralCrossRefPubMed

14.

Bruce, B., Fries, J. F., Ambrosini, D., Lingala, B., Gandek, B., Rose, M., & Ware, J. E, Jr. (2009). Better assessment of physical function: Item improvement is neglected but essential. Arthritis Research & Therapy, 11(6), R191.CrossRef

15.

Rose, M., Bjorner, J. B., Becker, J., Fries, J. F., & Ware, J. E. (2008). Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS). Journal of Clinical Epidemiology, 61(1), 17–33.CrossRefPubMed

16.

Liu, H., Cella, D., Gershon, R., Shen, J., Morales, L. S., Riley, W., & Hays, R. D. (2010). Representativeness of the Patient-Reported Outcomes Measurement Information System Internet panel. Journal of Clinical Epidemiology, 63(11), 1169–1178.PubMedCentralCrossRefPubMed

17.

Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.

18.

Eremenco, S. L., Cella, D., & Arnold, B. J. (2005). A comprehensive method for the translation and cross-cultural validation of health status questionnaires. Evaluation & The Health Professions, 28(2), 212–232.CrossRef

19.

U.S. Census Bureau, U.S. Department of Commerce, & Economics and Statistics Administration. Overview of Race and Hispanic Origin. (2010). 2010 Census briefs. Issued March 2011. http://www.census.gov/prod/cen2010/briefs/c2010br-02.pdf. Accessed July 2, 2014

20.

Assessment Center. Instruments available for use in Assessment Center. (2014). Retrieved August 14, 2014, from http://www.assessmentcenter.net/documents/instrumentLibrary.pdf

21.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). New York: McGraw-Hill.

22.

Peterman, A. H., Fitchett, G., Brady, M. J., Hernandez, L., & Cella, D. (2002). Measuring spiritual well-being in people with cancer: The functional assessment of chronic illness therapy–Spiritual Well-being Scale (FACIT-Sp). Annals of Behavioral Medicine, 24(1), 49–58.CrossRefPubMed

23.

Ware, J. E., Jr., Davies-Avery, A., & Stewart, A. L. (1978). The measurement and meaning of patient satisfaction. Health & Medical Care Services Review, 1(1), 3–15.

24.

Marin, G., Sabogal, F., Marin, B. V., Otero-Sabogal, R., & Perez-Stable, E. J. (1987). Development of a short acculturation scale for Hispanics. Hispanic Journal of Behavioral Sciences, 9(2), 183–205. doi:10.1177/07399863870092005.CrossRef

25.

Oken, M. M., Creech, R. H., Tormey, D. C., Horton, J., Davis, T. E., McFadden, E. T., & Carbone, P. P. (1982). Toxicity and response criteria of the Eastern Cooperative Oncology Group. American Journal of Clinical Oncology, 5(6), 649–655.CrossRefPubMed

26.

Nunnally, J. (1978). Psychometric theory. New York: McGraw-Hill.

27.

Yost, K. J., Eton, D. T., Garcia, S. F., & Cella, D. (2011). Minimally important differences were estimated for six Patient-Reported Outcomes Measurement Information System-Cancer scales in advanced-stage cancer patients. Journal of Clinical Epidemiology, 64(5), 507–516.PubMedCentralCrossRefPubMed

28.

Fries, J. F., Krishnan, E., Rose, M., Lingala, B., & Bruce, B. (2011). Improved responsiveness and reduced sample size requirements of PROMIS physical function scales with item response theory. Arthritis Research & Therapy, 13(5), R147.CrossRef

29.

Hung, M., Baumhauer, J. F., Latt, L. D., Saltzman, C. L., SooHoo, N. F., Hunt, K. J., … Ankle Outcomes Research N. (2013). Validation of PROMIS (R) Physical Function computerized adaptive tests for orthopaedic foot and ankle outcome research. Clinical Orthopaedics and Related Research, 471(11), 3466–3474.PubMedCentralCrossRefPubMed

30.

Rose, M., Bjorner, J. B., Gandek, B., Bruce, B., Fries, J. F., & Ware, J. E, Jr. (2014). The PROMIS physical function item bank was calibrated to a standardized metric and shown to improve measurement efficiency. Journal of Clinical Epidemiology, 67(5), 516–526.PubMedCentralCrossRefPubMed

31.

Bruce, B., Fries, J., Lingala, B., Hussain, Y. N., & Krishnan, E. (2013). Development and assessment of floor and ceiling items for the PROMIS physical function item bank. Arthritis Research & Therapy, 15(5), R144.CrossRef

32.

Fries, J. F., Lingala, B., Siemons, L., Glas, C. A., Cella, D., Hussain, Y. N., … Krishnan, E. (2014). Extending the floor and the ceiling for assessment of physical function. Arthritis & Rheumatology, 66(5), 1378–1387.CrossRef

33.

PROMIS (Patient-Reported Outcomes Measurement Information System). PROMIS Adult Profile Instruments. (2014). http://www.assessmentcenter.net/documents/PROMIS%20Profile%20Scoring%20Manual.pdf. Accessed July 2, 2014

34.

Arora, N. K., Reeve, B. B., Hays, R. D., Clauser, S. B., & Oakley-Girvan, I. (2011). Assessment of quality of cancer-related follow-up care from the cancer survivor’s perspective. Journal of Clinical Oncology, 29(10), 1280–1289.PubMedCentralCrossRefPubMed

35.

Catalano, P. J., Ayanian, J. Z., Weeks, J. C., Kahn, K. L., Landrum, M. B., Zaslavsky, A. M., … Cancer Care Outcomes Research Surveillance, C. (2013). Representativeness of participants in the cancer care outcomes research and surveillance consortium relative to the surveillance, epidemiology, and end results program. Medical Care, 51(2), e9–15.PubMedCentralCrossRefPubMed

36.

Harlan, L. C., Lynch, C. F., Keegan, T. H., Hamilton, A. S., Wu, X. C., Kato, I., West, M. M., Cress, R. D., Schwartz, S. M., Smith, A. W., Deapen, D., Stringer, S. M., Potosky, A. L., & Group, A. H. S. C. (2011). Recruitment and follow-up of adolescent and young adult cancer survivors: The AYA HOPE Study. Journal of Cancer Survivorship, 5(3), 305–314.

37.

Paz, S. H., Spritzer, K. L., Morales, L. S., & Hays, R. D. (2013). Age-related Differential Item Functioning for the Patient-Reported Outcomes Information System (PROMIS(R)) Physical Functioning Items. Prim Health Care, 3(131).

38.

McCabe, R. M., Grutsch, J. F., Nutakki, S. B., Braun, D. P., & Markman, M. (2014). Can quality of life assessments differentiate heterogeneous cancer patients? PLoS One, 9(6), e99445.

39.

Reeve, B. B., Potosky, A. L., Smith, A. W., Han, P. K., Hays, R. D., Davis, W. W., et al. (2009). Impact of cancer on health-related quality of life of older Americans. Journal of the National Cancer Institute, 101(12), 860–868.

40.

Rosenfeld, B., Roth, A. J., Gandhi, S., & Penson, D. (2004). Differences in health-related quality of life of prostate cancer patients based on stage of cancer. Psycho-Oncology, 13(11), 800–807.

41.

Ganz, P. A., Rowland, J. H., Meyerowitz, B. E., & Desmond, K. A. (1998). Impact of different adjuvant therapy strategies on quality of life in breast cancer survivors. Recent Results in Cancer Research, 152, 396–411.

42.

Hile, E. S., Fitzgerald, G. K., & Studenski, S. A. (2010). Persistent mobility disability after neurotoxic chemotherapy. Physical Therapy, 90(11), 1649–1657.

43.

Smith, A. M., Villareal, M., Bernstein, D. I., & Swikert, D. J. (2012). Asthma in the elderly: Risk factors and impact on physical function. Annals of Allergy, Asthma & Immunology, 108(5), 305–310.

44.

Eisner, M. D., Blanc, P. D., Yelin, E. H., Sidney, S., Katz, P. P., Ackerson, L., et al. (2008). COPD as a systemic disease: Impact on physical functional limitations. American Journal of Medicine, 121(9), 789–796.

45.

Dominick, K. L., Ahern, F. M., Gold, C. H., & Heller, D. A. (2004). Health-related quality of life among older adults with arthritis. Health and Quality of Life Outcomes, 2, 5.

46.

Silver, J. K., Baima, J., & Mayer, R. S. (2013). Impairment-driven cancer rehabilitation: An essential component of quality care and survivorship. CA: A Cancer Journal for Clinicians, 63(5), 295–317.

47.

Fortin, M., Bravo, G., Hudon, C., Lapointe, L., Almirall, J., Dubois, M. F., & Vanasse, A. (2006). Relationship between multimorbidity and health-related quality of life of patients in primary care. Quality of Life Research, 15(1), 83–91.

48.

Speck, R. M., Courneya, K. S., Masse, L. C., Duval, S., & Schmitz, K. H. (2010). An update of controlled physical activity trials in cancer survivors: A systematic review and meta-analysis. Journal of Cancer Survivorship, 4(2), 87–100.

Titel: Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients
verfasst von: Roxanne E. Jensen
Arnold L. Potosky
Bryce B. Reeve
Elizabeth Hahn
David Cella
James Fries
Ashley Wilder Smith
Theresa H. M. Keegan
Xiao-Cheng Wu
Lisa Paddock
Carol M. Moinpour
Publikationsdatum: 01.10.2015
Verlag: Springer International Publishing
Erschienen in: Quality of Life Research / Ausgabe 10/2015
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-015-0992-9

Klimawandel und Gesundheit: Was Sie in der Hausarztpraxis wissen müssen und tun können

Springer Medizin

Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients

Abstract

Purpose

Methods

Results

Conclusions

Klimawandel und Gesundheit: Was Sie in der Hausarztpraxis wissen müssen und tun können

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 10/2015

Establishing a common metric for self-reported pain: linking BPI Pain Interference and SF-36 Bodily Pain Subscale scores to the PROMIS Pain Interference metric

Psychometric properties of Functional Assessment of Cancer Therapy-Prostate (FACT-P) in Chinese patients with prostate cancer

Quality of life changes in patients undergoing treatment for hepatocellular carcinoma

Validity of EQ-5D in general population of Taiwan: results of the 2009 National Health Interview and Drug Abuse Survey of Taiwan

Factors associated with the quality of life of Korean COPD patients as measured by the EQ-5D

The concept of physical limitations in knee osteoarthritis: as viewed by patients and health professionals