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31-08-2016

Value redefined for inflammatory bowel disease patients: a choice-based conjoint analysis of patients’ preferences

Auteurs: Welmoed K. van Deen, Dominic Nguyen, Natalie E. Duran, Ellen Kane, Martijn G. H. van Oijen, Daniel W. Hommes

Gepubliceerd in: Quality of Life Research | Uitgave 2/2017

Abstract

Purpose

Value-based healthcare is an upcoming field. The core idea is to evaluate care based on achieved outcomes divided by the costs. Unfortunately, the optimal way to evaluate outcomes is ill-defined. In this study, we aim to develop a single, preference based, outcome metric, which can be used to quantify overall health value in inflammatory bowel disease (IBD).

Methods

IBD patients filled out a choice-based conjoint (CBC) questionnaire in which patients chose preferable outcome scenarios with different levels of disease control (DC), quality of life (QoL), and productivity (Pr). A CBC analysis was performed to estimate the relative value of DC, QoL, and Pr. A patient-centered composite score was developed which was weighted based on the stated preferences.

Results

We included 210 IBD patients. Large differences in stated preferences were observed. Increases from low to intermediate outcome levels were valued more than increases from intermediate to high outcome levels. Overall, QoL was more important to patients than DC or Pr. Individual outcome scores were calculated based on the stated preferences. This score was significantly different from a score not weighted based on patient preferences in patients with active disease.

Conclusions

We showed the feasibility of creating a single outcome metric in IBD which incorporates patients’ values using a CBC. Because this metric changes significantly when weighted according to patients’ values, we propose that success in healthcare should be measured accordingly.

vorige artikel Long-term health status as measured by EQ-5D among patients with metastatic breast cancer: comparison of first-line oral S-1 and taxane therapies in the randomized phase III SELECT BC trial

volgende artikel Mapping painDETECT, a neuropathic pain screening tool, to the EuroQol (EQ-5D-3L)

Alleen toegankelijk voor geautoriseerde gebruikers

Porter, M. E., & Teisberg, E. O. (2004). Redefining competition in health care. Harvard Business Review, 82(6), 64–76. PubMed

de Lange, K. M., & Barrett, J. C. (2015). Understanding inflammatory bowel disease via immunogenetics. Journal of Autoimmunity. doi: 10.1016/j.jaut.2015.07.013. PubMed

van Deen, W. K., van Oijen, M. G., Myers, K. D., Centeno, A., Howard, W., Choi, J. M., et al. (2014). A nationwide 2010–2012 analysis of U.S. health care utilization in inflammatory bowel diseases. Inflammatory Bowel Diseases, 20(10), 1747–1753. doi: 10.1097/MIB.0000000000000139. CrossRefPubMed

Blumenthal, D., & Stremikis, K. (2013). Getting real about health care value. Harvard Business Review, Digital Article. https://hbr.org/2013/09/getting-real-about-health-care-value. Accessed 24 Aug 2016

American Gastroenterological Association. Performance Measures (2015). http://www.gastro.org/practice-management/quality/performance-measures. Accessed 14 October 2015.

Melmed, G. Y., & Siegel, C. A. (2013). Quality improvement in inflammatory bowel disease. Gastroenterol Hepatol (N Y), 9(5), 286–292.

Stacey, D., Legare, F., Col, N. F., Bennett, C. L., Barry, M. J., Eden, K. B., et al. (2014). Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews, 1, Cd001431. doi: 10.1002/14651858.CD001431.pub4.

US Department of Health and Human Services, Food and Drug Administration. Guidance for industry. Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims (December 2009).

Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194. doi: 10.1016/j.jclinepi.2010.04.011. CrossRefPubMedPubMedCentral

10.

van Deen, W. K., Esrailian, E., & Hommes, D. W. (2015). Value-based health care for inflammatory bowel diseases. Journal of Crohn’s and Colitis, 9(5), 421–427. doi: 10.1093/ecco-jcc/jjv036. CrossRefPubMed

11.

Bridges, J. F., Hauber, A. B., Marshall, D., Lloyd, A., Prosser, L. A., Regier, D. A., et al. (2011). Conjoint analysis applications in health–a checklist: A report of the ISPOR good research practices for conjoint analysis task force. Value Health, 14(4), 403–413. doi: 10.1016/j.jval.2010.11.013. CrossRefPubMed

12.

van Deen, W. K., van der Meulen-de Jong, A. E., Parekh, N. K., Muyshondt, Y., Kane, E., Eimers, L., et al. (2015). Su1230 remote monitoring of IBD disease activity using the Mobile Health Index (mHI): A validation study. Gastroenterology, 148(4), S-446. doi: 10.1016/S0016-5085(15)31501-8. CrossRef

13.

Sawtooth Software, CBC/HB v5, Software for hierarchical Bayes estimation for CBC data. Manual. [Updated June 11, 2013]. https://www.sawtoothsoftware.com/download/techpap/CBCHB_Manual.pdf. Accessed 12 February 2016.

14.

Orme, B. (2000). Hierarchical Bayes: Why all the attention? Quirk’s Marketing Research Review, 16, 58–63.

15.

Wittink, D. R. (2000). Predictive validity of conjoint analysis. In Proceedings of the Sawtooth Software Conference, Sequim, WA, March 2000 (Vol. 2000, pp. 221–237).

16.

Orme, B. (2010). Sample size issues for conjoint analysis. In B. Orme (Ed.), Getting started with conjoint analysis: Strategies for product design and pricing research. (2nd ed., pp. 57–66). Madison, WI: Research Publishers LLC.

17.

Craig, B. M., Reeve, B. B., Brown, P. M., Cella, D., Hays, R. D., Lipscomb, J., et al. (2014). US valuation of health outcomes measured using the PROMIS-29. Value in Health, 17(8), 846–853. doi: 10.1016/j.jval.2014.09.005. CrossRefPubMedPubMedCentral

18.

Devlin, N., Shah, K.K., Feng, Y., Mulhern, B. & van Hout, B. (2016) Valuing Health-Related Quality of Life: An EQ-5D-5L Value Set for England. OHE Research Paper. London: Office of Health Economics.

19.

Porter, M. E., Larsson, S., & Lee, T. H. (2016). Standardizing patient outcomes measurement. New England Journal of Medicine, 374(6), 504–506. doi: 10.1056/NEJMp1511701. CrossRefPubMed

20.

Wiering, B., de Boer, D., & Delnoij, D. (2016). Patient involvement in the development of patient-reported outcome measures: A scoping review. Health Expectations. doi: 10.1111/hex.12442. PubMed

21.

Wennberg, J. E., O’Connor, A. M., Collins, E. D., & Weinstein, J. N. (2007). Extending the P4P agenda, part 1: How medicare can improve patient decision making and reduce unnecessary care. Health Affairs (Millwood), 26(6), 1564–1574. doi: 10.1377/hlthaff.26.6.1564. CrossRef

Titel: Value redefined for inflammatory bowel disease patients: a choice-based conjoint analysis of patients’ preferences
Auteurs: Welmoed K. van Deen
Dominic Nguyen
Natalie E. Duran
Ellen Kane
Martijn G. H. van Oijen
Daniel W. Hommes
Publicatiedatum: 31-08-2016
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 2/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-016-1398-z

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