Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 10/2015

03-05-2015

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

Auteurs: 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

Gepubliceerd in: Quality of Life Research | Uitgave 10/2015

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

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.
vorige artikel A longitudinal assessment of the responsiveness of the ICECAP-A in a randomised controlled trial of a knee pain intervention
volgende artikel Does the COPD assessment test (CATTM) questionnaire produce similar results when self- or interviewer administered?
Literatuur
1.
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
2.
Courneya, K. S., & Friedenreich, C. M. (2007). Physical activity and cancer control. Seminars in Oncology Nursing, 23(4), 242–252.CrossRefPubMed
3.
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
4.
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
5.
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
6.
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
7.
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
8.
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
9.
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.
20.
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/​0739986387009200​5.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.
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.
Metagegevens
Titel
Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients
Auteurs
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
Publicatiedatum
03-05-2015
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 10/2015
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-015-0992-9

Andere artikelen Uitgave 10/2015

Quality of Life Research 10/2015 Naar de uitgave

OriginalPaper

Stressor experience negatively affects life satisfaction in adolescents: the positive role of sense of coherence

Brief Communication

Psychometric properties of the Chinese (Cantonese) versions of the KIDSCREEN health-related quality of life questionnaire

OriginalPaper

How to interpret multidimensional quality of life questionnaires for patients with schizophrenia?

OriginalPaper

Development of an Elderly Low Vision Quality of Life Questionnaire for less-developed areas of China

OriginalPaper

QUAlity of Life Assessment in Spina bifida for Adults (QUALAS-A): development and international validation of a novel health-related quality of life instrument

OriginalPaper

Communicating patient-reported outcome scores using graphic formats: results from a mixed-methods evaluation