Skip to main content
Top
Gepubliceerd in: Quality of Life Research 6/2019

26-02-2019

Multidimensionality of the PROMIS self-efficacy measure for managing chronic conditions

Auteurs: Mi Jung Lee, Sergio Romero, Craig A. Velozo, Ann L. Gruber-Baldini, Lisa M. Shulman

Gepubliceerd in: Quality of Life Research | Uitgave 6/2019

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

Abstract

Purpose

This study investigated the PROMIS Self-Efficacy Measure for Managing Chronic Conditions (PROMIS-SE) domain distributions and examined the factor structure of the PROMIS-SE.

Methods

A total of 1087 individuals with chronic conditions participated in this study. PROMIS-SE’s item banks and two short forms (eight-item and four-item) measuring five behavioral domains (daily activities(DA), Emotions(EM), medications and treatments(MT), social interactions(SS), and Symptoms(SX)) were examined. PROMIS-SE’s T-score ranges and distributions were examined to identify domain metric distributions and confirmatory factor analysis (CFA) was conducted to test a multidimensional model fit to the PROMIS-SE.

Results

PROMIS-SE domains showed different T-score ranges and distributions for item banks and two short forms across all five domains. While PROMIS-SE EM demonstrated the highest T-scores (least negatively skewed), MT had the lowest T-scores (most negatively skewed) for all three forms. In general, respondents were more likely to achieve highest self-efficacy ratings (very confident) for domains DA, MT, and SS as compared to domains EM and SX. CFA confirmed that a multidimensional model adequately fit all three PROMIS-SE forms.

Conclusion

Our results indicate that self-efficacy T-distributions are not consistent across domains (i.e., managing medications and treatments domain was more negatively skewed difficult than other domains), which is a requirement for making inter-domain comparisons. A multidimensional model could be used to enhance the PROMIS-SE’s estimate accuracy and clinical utility.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
go back to reference Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W H Freeman and Company. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W H Freeman and Company.
2.
go back to reference Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs: Prentice-Hall, Inc. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs: Prentice-Hall, Inc.
3.
go back to reference Strecher, V. J., McEvoy DeVellis, B., Becker, M. H., & Rosenstock, I. M. (1986). The role of self-efficacy in achieving health behavior change. Health Education Quarterly, 13(1), 73–92.CrossRef Strecher, V. J., McEvoy DeVellis, B., Becker, M. H., & Rosenstock, I. M. (1986). The role of self-efficacy in achieving health behavior change. Health Education Quarterly, 13(1), 73–92.CrossRef
4.
go back to reference McAuley, E., Konopack, J. F., Motl, R. W., Morris, K. S., Doerksen, S. E., & Rosengren, K. R. (2006). Physical activity and quality of life in older adults: Influence of health status and self-efficacy. Annals of Behavioral Medicine, 31(1), 99–103.CrossRef McAuley, E., Konopack, J. F., Motl, R. W., Morris, K. S., Doerksen, S. E., & Rosengren, K. R. (2006). Physical activity and quality of life in older adults: Influence of health status and self-efficacy. Annals of Behavioral Medicine, 31(1), 99–103.CrossRef
5.
go back to reference Tsay, S.-L., & Healstead, M. (2002). Self-care self-efficacy, depression, and quality of life among patients receiving hemodialysis in Taiwan. International Journal of Nursing Studies, 39(3), 245–251.CrossRef Tsay, S.-L., & Healstead, M. (2002). Self-care self-efficacy, depression, and quality of life among patients receiving hemodialysis in Taiwan. International Journal of Nursing Studies, 39(3), 245–251.CrossRef
6.
go back to reference Muris, P. (2002). Relationships between self-efficacy and symptoms of anxiety disorders and depression in a normal adolescent sample. Personality and Individual Differences, 32(2), 337–348.CrossRef Muris, P. (2002). Relationships between self-efficacy and symptoms of anxiety disorders and depression in a normal adolescent sample. Personality and Individual Differences, 32(2), 337–348.CrossRef
7.
go back to reference Meredith, P., Strong, J., & Feeney, J. A. (2006). Adult attachment, anxiety, and pain self-efficacy as predictors of pain intensity and disability. Pain, 123(1), 146–154.CrossRef Meredith, P., Strong, J., & Feeney, J. A. (2006). Adult attachment, anxiety, and pain self-efficacy as predictors of pain intensity and disability. Pain, 123(1), 146–154.CrossRef
8.
go back to reference Beckham, J. C., Burker, E. J., Burker, E. J., Feldman, M. E., & Costakis, M. J. (1997). Self-efficacy and adjustment in cancer patients: A preliminary report. Behavioral Medicine, 23(3), 138–142.CrossRef Beckham, J. C., Burker, E. J., Burker, E. J., Feldman, M. E., & Costakis, M. J. (1997). Self-efficacy and adjustment in cancer patients: A preliminary report. Behavioral Medicine, 23(3), 138–142.CrossRef
9.
go back to reference Siegert, R. J., & Levack, W. M. (2014). Rehabilitation goal setting: Theory, practice and evidence. Boca Raton: CRC Press.CrossRef Siegert, R. J., & Levack, W. M. (2014). Rehabilitation goal setting: Theory, practice and evidence. Boca Raton: CRC Press.CrossRef
10.
go back to reference Newman, S., Steed, E., & Mulligan, K. (2008). Chronic physical illness: Self-management and behavioural interventions. New York: McGraw-Hill Education (UK). Newman, S., Steed, E., & Mulligan, K. (2008). Chronic physical illness: Self-management and behavioural interventions. New York: McGraw-Hill Education (UK).
11.
go back to reference Lenz, E. R., & Shortridge-Baggett, L. M. (2002). Self-efficacy in nursing: Research and measurement perspectives. New York: Springer Publishing Company. Lenz, E. R., & Shortridge-Baggett, L. M. (2002). Self-efficacy in nursing: Research and measurement perspectives. New York: Springer Publishing Company.
12.
go back to reference Lorig, K., Chastain, R. L., Ung, E., Shoor, S., & Holman, H. R. (1989). Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis & Rheumatism: Official Journal of the American College of Rheumatology, 32(1), 37–44.CrossRef Lorig, K., Chastain, R. L., Ung, E., Shoor, S., & Holman, H. R. (1989). Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis & Rheumatism: Official Journal of the American College of Rheumatology, 32(1), 37–44.CrossRef
13.
go back to reference Rebok, G. W., & Balcerak, L. J. (1989). Memory self-efficacy and performance differences in young and old adults: The effect of mnemonic training. Developmental Psychology, 25(5), 714.CrossRef Rebok, G. W., & Balcerak, L. J. (1989). Memory self-efficacy and performance differences in young and old adults: The effect of mnemonic training. Developmental Psychology, 25(5), 714.CrossRef
14.
go back to reference Gruber-Baldini, A. L., Velozo, C., Romero, S., & Shulman, L. M. (2017). Validation of the PROMIS® measures of self-efficacy for managing chronic conditions. Quality of Life Research, 26(7), 1915–1924.CrossRef Gruber-Baldini, A. L., Velozo, C., Romero, S., & Shulman, L. M. (2017). Validation of the PROMIS® measures of self-efficacy for managing chronic conditions. Quality of Life Research, 26(7), 1915–1924.CrossRef
15.
go back to reference Hong, I., Velozo, C. A., Li, C.-Y., Romero, S., Gruber-Baldini, A. L., & Shulman, L. M. (2016). Assessment of the psychometrics of a PROMIS item bank: self-efficacy for managing daily activities. Quality of Life Research, 25(9), 2221–2232.CrossRef Hong, I., Velozo, C. A., Li, C.-Y., Romero, S., Gruber-Baldini, A. L., & Shulman, L. M. (2016). Assessment of the psychometrics of a PROMIS item bank: self-efficacy for managing daily activities. Quality of Life Research, 25(9), 2221–2232.CrossRef
16.
go back to reference Chang, C.-H., & Reeve, B. B. (2005). Item response theory and its applications to patient-reported outcomes measurement. Evaluation & the Health Professions, 28(3), 264–282.CrossRef Chang, C.-H., & Reeve, B. B. (2005). Item response theory and its applications to patient-reported outcomes measurement. Evaluation & the Health Professions, 28(3), 264–282.CrossRef
17.
go back to reference Pincus, T., Swearingen, C., & Wolfe, F. (1999). Toward a multidimensional Health Assessment Questionnaire (MDHAQ): Assessment of advanced activities of daily living and psychological status in the patient-friendly health assessment questionnaire format. Arthritis & Rheumatology, 42(10), 2220–2230.CrossRef Pincus, T., Swearingen, C., & Wolfe, F. (1999). Toward a multidimensional Health Assessment Questionnaire (MDHAQ): Assessment of advanced activities of daily living and psychological status in the patient-friendly health assessment questionnaire format. Arthritis & Rheumatology, 42(10), 2220–2230.CrossRef
18.
go back to reference Gold, J. I., Mahrer, N. E., Yee, J., & Palermo, T. M. (2009). Pain, fatigue and health-related quality of life in children and adolescents with chronic pain. The Clinical Journal of Pain, 25(5), 407.CrossRef Gold, J. I., Mahrer, N. E., Yee, J., & Palermo, T. M. (2009). Pain, fatigue and health-related quality of life in children and adolescents with chronic pain. The Clinical Journal of Pain, 25(5), 407.CrossRef
19.
go back to reference Ketterlin-Geller, L. R., & Yovanoff, P. (2009). Diagnostic assessments in mathematics to support instructional decision making. Practical Assessment, Research & Evaluation, 14(16), 1–11. Ketterlin-Geller, L. R., & Yovanoff, P. (2009). Diagnostic assessments in mathematics to support instructional decision making. Practical Assessment, Research & Evaluation, 14(16), 1–11.
20.
go back to reference Cheng, Y.-Y., Wang, W.-C., & Ho, Y.-H. (2009). Multidimensional Rasch analysis of a psychological test with multiple subtests: A statistical solution for the bandwidth—fidelity dilemma. Educational and Psychological Measurement, 69(3), 369–388.CrossRef Cheng, Y.-Y., Wang, W.-C., & Ho, Y.-H. (2009). Multidimensional Rasch analysis of a psychological test with multiple subtests: A statistical solution for the bandwidth—fidelity dilemma. Educational and Psychological Measurement, 69(3), 369–388.CrossRef
21.
go back to reference Zhang, J. (2004). Comparison of unidimensional and multidimensional approaches to IRT parameter estimation. ETS Research Report Series, 2004(2), i-40. Zhang, J. (2004). Comparison of unidimensional and multidimensional approaches to IRT parameter estimation. ETS Research Report Series, 2004(2), i-40.
22.
go back to reference Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.CrossRef Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.CrossRef
23.
go back to reference Fayers, P. M. (2007). Applying item response theory and computer adaptive testing: The challenges for health outcomes assessment. Quality of Life Research, 16(S1), 187–194.CrossRef Fayers, P. M. (2007). Applying item response theory and computer adaptive testing: The challenges for health outcomes assessment. Quality of Life Research, 16(S1), 187–194.CrossRef
24.
go back to reference Petersen, M. A., Groenvold, M., Aaronson, N., Fayers, P., Sprangers, M., Bjorner, J. B., & for the European Organisation for Research and Treatment of Cancer Quality of Life Group (2006). Multidimensional computerized adaptive testing of the EORTC QLQ-C30: Basic developments and evaluations. Quality of Life Research, 15(3), 315–329.CrossRef Petersen, M. A., Groenvold, M., Aaronson, N., Fayers, P., Sprangers, M., Bjorner, J. B., & for the European Organisation for Research and Treatment of Cancer Quality of Life Group (2006). Multidimensional computerized adaptive testing of the EORTC QLQ-C30: Basic developments and evaluations. Quality of Life Research, 15(3), 315–329.CrossRef
25.
go back to reference Haley, S. M., Ni, P., Ludlow, L. H., & Fragala-Pinkham, M. A. (2006). Measurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory. Archives of Physical Medicine and Rehabilitation, 87(9), 1223–1229.CrossRef Haley, S. M., Ni, P., Ludlow, L. H., & Fragala-Pinkham, M. A. (2006). Measurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory. Archives of Physical Medicine and Rehabilitation, 87(9), 1223–1229.CrossRef
26.
go back to reference Haley, S. M., Ni, P., Dumas, H. M., Fragala-Pinkham, M. A., Hambleton, R. K., Montpetit, K., Bilodeau, N., Gorton, G.E., Watson, K., Tucker, C. A. (2009). Measuring global physical health in children with cerebral palsy: Illustration of a multidimensional bi-factor model and computerized adaptive testing. Quality of Life Research, 18(3), 359–370.CrossRef Haley, S. M., Ni, P., Dumas, H. M., Fragala-Pinkham, M. A., Hambleton, R. K., Montpetit, K., Bilodeau, N., Gorton, G.E., Watson, K., Tucker, C. A. (2009). Measuring global physical health in children with cerebral palsy: Illustration of a multidimensional bi-factor model and computerized adaptive testing. Quality of Life Research, 18(3), 359–370.CrossRef
27.
go back to reference Bass, M., Morris, S., & Neapolitan, R. (2015). Utilizing multidimensional computer adaptive testing to mitigate burden with patient reported outcomes. In AMIA Annual Symposium Proceedings (Vol. 2015, p. 320). American Medical Informatics Association. Bass, M., Morris, S., & Neapolitan, R. (2015). Utilizing multidimensional computer adaptive testing to mitigate burden with patient reported outcomes. In AMIA Annual Symposium Proceedings (Vol. 2015, p. 320). American Medical Informatics Association.
28.
go back to reference Ip, E. H. (2010). Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models. British Journal of Mathematical and Statistical Psychology, 63(2), 395–416.CrossRef Ip, E. H. (2010). Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models. British Journal of Mathematical and Statistical Psychology, 63(2), 395–416.CrossRef
29.
go back to reference Rupp, A. A., Templin, J., & Henson, R. A. (2010). Diagnostic Measurement: Theory, Methods, and Applications. New York: Guilford Press. Rupp, A. A., Templin, J., & Henson, R. A. (2010). Diagnostic Measurement: Theory, Methods, and Applications. New York: Guilford Press.
Metagegevens
Titel
Multidimensionality of the PROMIS self-efficacy measure for managing chronic conditions
Auteurs
Mi Jung Lee
Sergio Romero
Craig A. Velozo
Ann L. Gruber-Baldini
Lisa M. Shulman
Publicatiedatum
26-02-2019
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 6/2019
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-019-02116-w

Andere artikelen Uitgave 6/2019

Quality of Life Research 6/2019 Naar de uitgave