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Quality of Life Research

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10-06-2020

Known-groups validity and responsiveness to change of the Patient Experience with Treatment and Self-management (PETS vs. 2.0): a patient-reported measure of treatment burden

Auteurs: David T. Eton, Minji K. Lee, Jennifer L. St. Sauver, Roger T. Anderson

Gepubliceerd in: Quality of Life Research | Uitgave 11/2020

Abstract

Purpose

The purpose of this study was to test the known-groups validity and responsiveness to change of the Patient Experience with Treatment and Self-management (PETS, vs. 2.0), a measure of treatment burden.

Methods

The PETS and other standard measures were mailed at baseline and 12-month follow-up to adults living with multiple chronic conditions in southeast Minnesota (USA). A sample of 365 people (mean age = 62.1 years) completed both surveys. Baseline, 12-month, and changes in PETS burden scores were examined. Clinical anchors used to test validity included number of diagnoses (2–4 vs. 5+), mental health diagnosis (yes/no), medication adherence and health literacy (suboptimal/optimal), and changes in self-efficacy, global physical, and global mental health (worsening/improving). Independent-samples t-tests were used to compare scores.

Results

PETS scales showed good internal consistency (αs ≥ 0.80). There were few differences across number of diagnoses, but having a mental health diagnosis was associated with higher baseline PETS burden scores (Ps < .05). Suboptimal medication adherence and health literacy over time were associated with worse 12-month PETS burden scores (Ps < .05). Compared with improvements, declines over time in self-efficacy, global physical health, and global mental health were each associated with worsening change scores on PETS impact summary, medical expenses, and bother due to medication reliance and medication side effects (Ps < .05).

Conclusion

Among multi-morbid adults, the PETS demonstrated evidence of known-groups validity and responsiveness to change across both objective (e.g., mental health diagnoses) and subjective anchors (e.g., changes in self-efficacy, global physical, and global mental health).

vorige artikel Validity and reliability of the Arabic version of the child perceptions questionnaire for 8–10-year-old children

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Alleen toegankelijk voor geautoriseerde gebruikers

Eton, D. T., Ramalho de Oliveira, D., Egginton, J. S., Ridgeway, J. L., Odell, L., May, C. R., et al. (2012). Building a measurement framework of burden of treatment in complex patients with chronic conditions: A qualitative study. Patient Related Outcome Measures, 3, 39–49. https://doi.org/10.2147/PROM.S34681.CrossRefPubMedPubMedCentral

Eton, D. T., Ridgeway, J. L., Egginton, J. S., Tiedje, K., Linzer, M., Boehm, D. H., et al. (2015). Finalizing a measurement framework for the burden of treatment in complex patients with chronic conditions. Patient Related Outcome Measures, 6, 117–126. https://doi.org/10.2147/PROM.S78955.CrossRefPubMedPubMedCentral

May, C., Montori, V. M., & Mair, F. S. (2009). We need minimally disruptive medicine. British Medical Journal, 339, b2803. https://doi.org/10.1136/bmj.b2803.CrossRefPubMed

May, C. R., Eton, D. T., Boehmer, K., Gallacher, K., Hunt, K., MacDonald, S., et al. (2014). Rethinking the patient: Using burden of treatment theory to understand the changing dynamics of illness. BMC Health Services Research, 14, 281. https://doi.org/10.1186/1472-6963-14-281.CrossRefPubMedPubMedCentral

Ortenblad, L., Meillier, L., & Jonsson, A. R. (2018). Multi-morbidity: A patient perspective on navigating the health care system and everyday life. Chronic Illness, 14(4), 271–282. https://doi.org/10.1177/1742395317731607.CrossRefPubMed

Salisbury, C., Johnson, L., Purdy, S., Valderas, J. M., & Montgomery, A. A. (2011). Epidemiology and impact of multimorbidity in primary care: A retrospective cohort study. British Journal of General Practice, 61(582), e12–21. https://doi.org/10.3399/bjgp11X548929.CrossRef

Eton, D. T., Yost, K. J., Lai, J. S., Ridgeway, J. L., Egginton, J. S., Rosedahl, J. K., et al. (2017). Development and validation of the patient experience with treatment and self-management (PETS): A patient-reported measure of treatment burden. Quality of Life Research, 26, 489–503. https://doi.org/10.1007/s11136-016-1397-0.CrossRefPubMed

Tran, V. T., Harrington, M., Montori, V. M., Barnes, C., Wicks, P., & Ravaud, P. (2014). Adaptation and validation of the Treatment Burden Questionnaire (TBQ) in English using an internet platform. BMC Medicine, 12, 109. https://doi.org/10.1186/1741-7015-12-109.CrossRefPubMedPubMedCentral

Haynes, R. B., McDonald, H. P., & Garg, A. X. (2002). Helping patients follow prescribed treatment: clinical applications. JAMA, 288(22), 2880–2883. https://doi.org/10.1001/jama.288.22.2880.CrossRefPubMed

10.

Vijan, S., Hayward, R. A., Ronis, D. L., & Hofer, T. P. (2005). Brief report: the burden of diabetes therapy: implications for the design of effective patient-centered treatment regimens. Journal of General Internal Medicine, 20(5), 479–482. https://doi.org/10.1111/j.1525-1497.2005.0117.x.CrossRefPubMedPubMedCentral

11.

Boyd, C. M., Wolff, J. L., Giovannetti, E., Reider, L., Weiss, C., Xue, Q. L., et al. (2014). Healthcare task difficulty among older adults with multimorbidity. Medical Care, 52(Suppl 3), S118–125. https://doi.org/10.1097/MLR.0b013e3182a977da.CrossRefPubMedPubMedCentral

12.

Duncan, P., Murphy, M., Man, M. S., Chaplin, K., Gaunt, D., & Salisbury, C. (2018). Development and validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ). British Medical Journal Open, 8(4), e019413. https://doi.org/10.1136/bmjopen-2017-019413.CrossRef

13.

Dobler, C. C., Harb, N., Maguire, C. A., Armour, C. L., Coleman, C., & Murad, M. H. (2018). Treatment burden should be included in clinical practice guidelines. British Medical Journal, 363, k4065. https://doi.org/10.1136/bmj.k4065.CrossRefPubMed

14.

Tran, V. T., Montori, V. M., Eton, D. T., Baruch, D., Falissard, B., & Ravaud, P. (2012). Development and description of measurement properties of an instrument to assess treatment burden among patients with multiple chronic conditions. BMC Medicine, 10, 68. https://doi.org/10.1186/1741-7015-10-68.CrossRefPubMedPubMedCentral

15.

Mohammed, M. A., Moles, R. J., Hilmer, S. N., Kouladjian O'Donnel, L., & Chen, T. F. (2018). Development and validation of an instrument for measuring the burden of medicine on functioning and well-being: The Medication-Related Burden Quality of Life (MRB-QoL) tool. British Medical Journal Open, 8(1), e018880. https://doi.org/10.1136/bmjopen-2017-018880.CrossRef

16.

Rogers, E. A., Yost, K. J., Rosedahl, J. K., Linzer, M., Boehm, D. H., Thakur, A., et al. (2017). Validating the patient experience with treatment and self-management (PETS), a patient-reported measure of treatment burden, in people with diabetes. Patient Related Outcome Measures, 8, 143–156. https://doi.org/10.2147/PROM.S140851.CrossRefPubMedPubMedCentral

17.

Rocca, W. A., Yawn, B. P., St Sauver, J. L., Grossardt, B. R., & Melton, L. J., 3rd. (2012). History of the Rochester Epidemiology Project: Half a century of medical records linkage in a US population. Mayo Clinic Proceedings, 87(12), 1202–1213. https://doi.org/10.1016/j.mayocp.2012.08.012.CrossRefPubMedPubMedCentral

18.

St Sauver, J. L., Grossardt, B. R., Yawn, B. P., Melton, L. J., 3rd, Pankratz, J. J., Brue, S. M., et al. (2012). Data resource profile: The Rochester Epidemiology Project (REP) medical records-linkage system. International Journal of Epidemiology, 41(6), 1614–1624. https://doi.org/10.1093/ije/dys195.CrossRefPubMedPubMedCentral

19.

Goodman, R. A., Posner, S. F., Huang, E. S., Parekh, A. K., & Koh, H. K. (2013). Defining and measuring chronic conditions: Imperatives for research, policy, program, and practice. Preventing Chronic Disease, 10, E66. https://doi.org/10.5888/pcd10.120239.CrossRefPubMedPubMedCentral

20.

U.S. Department of Health and Human Services. (2010). Multiple chronic conditions—A strategic framework: Optimum health and quality of life for individuals with multiple chronic conditions. Washington, DC: U.S. Department of Health and Human Services.

21.

Schoenthaler, A., Montague, E., Baier Manwell, L., Brown, R., Schwartz, M. D., & Linzer, M. (2014). Patient-physician racial/ethnic concordance and blood pressure control: the role of trust and medication adherence. Ethnicity & Health, 19(5), 565–578. https://doi.org/10.1080/13557858.2013.857764.CrossRef

22.

Chew, L. D., Griffin, J. M., Partin, M. R., Noorbaloochi, S., Grill, J. P., Snyder, A., et al. (2008). Validation of screening questions for limited health literacy in a large VA outpatient population. Journal of General Internal Medicine, 23(5), 561–566. https://doi.org/10.1007/s11606-008-0520-5.CrossRefPubMedPubMedCentral

23.

Hays, R. D., Bjorner, J. B., Revicki, D. A., Spritzer, K. L., & Cella, D. (2009). Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items. Quality of life Research, 18(7), 873–880. https://doi.org/10.1007/s11136-009-9496-9.CrossRefPubMedPubMedCentral

24.

Wallston, K. A., Osborn, C. Y., Wagner, L. J., & Hilker, K. A. (2011). The Perceived Medical Condition Self-Management Scale applied to persons with HIV/AIDS. Journal of Health Psychology, 16(1), 109–115. https://doi.org/10.1177/1359105310367832.CrossRefPubMed

25.

Wild, M. G., Wallston, K. A., Green, J. A., Beach, L. B., Umeukeje, E., Wright Nunes, J. A., et al. (2017). The Perceived Medical Condition Self-Management Scale can be applied to patients with chronic kidney disease. Kidney International, 92(4), 972–978. https://doi.org/10.1016/j.kint.2017.03.018.CrossRefPubMedPubMedCentral

26.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.

27.

Frost, M. H., Reeve, B. B., Liepa, A. M., Stauffer, J. W., & Hays, R. D. (2007). What is sufficient evidence for the reliability and validity of patient-reported outcome measures? Value in Health, 10(Suppl 2), S94–S105. https://doi.org/10.1111/j.1524-4733.2007.00272.x.CrossRefPubMed

28.

Eton, D. T., Anderson, R. T., Cohn, W. F., Kennedy, E. M., St Sauver, J. L., Bucknell, B. J., et al. (2019). Risk factors for poor health-related quality of life in cancer survivors with multiple chronic conditions: Exploring the role of treatment burden as a mediator. Patient Related Outcome Measures, 10, 89–99. https://doi.org/10.2147/PROM.S191480.CrossRefPubMedPubMedCentral

29.

Gibbons, C. J., Kenning, C., Coventry, P. A., Bee, P., Bundy, C., Fisher, L., et al. (2013). Development of a multimorbidity illness perceptions scale (MULTIPleS). PLoS ONE, 8(12), e81852. https://doi.org/10.1371/journal.pone.0081852.CrossRefPubMedPubMedCentral

30.

Schwartz, C. E., Zhang, J., Michael, W., Eton, D. T., & Rapkin, B. D. (2018). Reserve-building activities attenuate treatment burden in chronic illness: The mediating role of appraisal and social support. Health Psychology Open, 5(1), 2055102918773440. https://doi.org/10.1177/2055102918773440.CrossRefPubMedPubMedCentral

31.

Song, M. K., Paul, S., Plantinga, L., Henry, C., & Turberville-Trujillo, L. (2019). Social networks of self-care and perceived treatment burden among patients on in-center hemodialysis. Kidney Medicine, 1(3), 97–103. https://doi.org/10.1016/j.xkme.2019.04.001.CrossRefPubMedPubMedCentral

32.

Ridgeway, J. L., Egginton, J. S., Tiedje, K., Linzer, M., Boehm, D., Poplau, S., et al. (2014). Factors that lessen the burden of treatment in complex patients with chronic conditions: a qualitative study. Patient Preference and Adherence, 8, 339–351. https://doi.org/10.2147/PPA.S58014.CrossRefPubMedPubMedCentral

33.

Gallacher, K., May, C. R., Montori, V. M., & Mair, F. S. (2011). Understanding patients' experiences of treatment burden in chronic heart failure using normalization process theory. Annals of Family Medicine, 9(3), 235–243.CrossRefPubMedPubMedCentral

34.

Sav, A., Kendall, E., McMillan, S. S., Kelly, F., Whitty, J. A., King, M. A., et al. (2013). 'You say treatment, I say hard work': Treatment burden among people with chronic illness and their carers in Australia. Health & Social Care in the Community, 21(6), 665–674. https://doi.org/10.1111/hsc.12052.CrossRef

Titel: Known-groups validity and responsiveness to change of the Patient Experience with Treatment and Self-management (PETS vs. 2.0): a patient-reported measure of treatment burden
Auteurs: David T. Eton
Minji K. Lee
Jennifer L. St. Sauver
Roger T. Anderson
Publicatiedatum: 10-06-2020
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 11/2020
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-020-02546-x

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Abstract

Purpose

Methods

Results

Conclusion

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