Cited by 326Psoriasis: Treatment and PathogenesisPatient-Provider Communication in HealthcareEconomic and Environmental Valuation

Outcomes associated with matching patients' treatment preferences to physicians' recommendations: study methodology

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Umar, Nasir, Litaker, David, Schaarschmidt, Marthe-Lisa, Peitsch, Wiebke K, Schmieder, Astrid, Terris, Darcey D·2012·BMC Health Services Research

Abstract

BACKGROUND: Patients often express strong preferences for the forms of treatment available for their disease. Incorporating these preferences into the process of treatment decision-making might improve patients' adherence to treatment, contributing to better outcomes. We describe the methodology used in a study aiming to assess treatment outcomes when patients' preferences for treatment are closely matched to recommended treatments. METHOD: Participants included patients with moderate and severe psoriasis attending outpatient dermatology clinics at the University Medical Centre Mannheim, University of Heidelberg, Germany. A self-administered online survey used conjoint analysis to measure participants' preferences for psoriasis treatment options at the initial study visit. Physicians' treatment recommendations were abstracted from each participant's medical records. The Preference Matching Index (PMI), a measure of concordance between the participant's preferences for treatment and the physician's recommended treatment, was determined for each participant at t(1) (initial study visit). A clinical outcome measure, the Psoriasis Area and Severity Index, and two participant-derived outcomes assessing treatment satisfaction and health related quality of life were employed at t(1), t(2) (twelve weeks post-t(1)) and t(3) (twelve weeks post-t(2)). Change in outcomes was assessed using repeated measures analysis of variance. The association between participants' PMI scores at t(1) and outcomes at t(2) and t(3) was evaluated using multivariate regressions analysis. DISCUSSION: We describe methods for capturing concordance between patients' treatment preferences and recommended treatment and for assessing its association with specific treatment outcomes. The methods are intended to promote the incorporation of patients' preferences in treatment decision-making, enhance treatment satisfaction, and improve treatment effectiveness through greater adherence.

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Authors
Umar, N., Litaker, D., Schaarschmidt, M.-L., Peitsch, W. K., Schmieder, A., & Terris, D. D.
Affiliations
  • Heidelberg University (DE)
  • University of Georgia (US)
Corresponding author
Umar, Nasir
Venue
BMC Health Services Research
Published
2012-01-03
Volume
12
Issue
1
Pages
1-1
ISSN
1472-6963 (ISSN-L)
OpenAlex
W2159132475
Cited by
326
References
26
Citations by year
2026: 6 · 2025: 21 · 2024: 10 · 2023: 16 · 2022: 21 · 2021: 43 · 2020: 33 · 2019: 29 · 2018: 30 · 2017: 40 · 2016: 29 · 2015: 20 · 2014: 17 · 2013: 10 · 2012: 1
FWCI
6.69
Type
journal article
Language
en
Open access
Locations
  • BMC Health Services Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Universität Mannheim
  • Universitätsmedizin Mannheim
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
Keywords
patient treatment preferences, preference matching, psoriasis, conjoint analysis, treatment satisfaction, health-related quality of life, Psoriasis Area and Severity Index, medication adherence, shared decision-making, patient-centered care
MeSH terms
Adult, Ambulatory Care, Female, Germany, Health Services Research, Humans, Male, Patient Compliance, Practice Patterns, Physicians', Prospective Studies, Psoriasis, Quality of Life, Surveys and Questionnaires, Regression Analysis, Research Design, Severity of Illness Index, Treatment Outcome, Patient-Centered Care, Patient Preference

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