Evaluation of Noncompletion Bias and Long-Term Adherence in a 10-Year Patient-Reported Outcome Monitoring Program in Clinical Routine

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TitreEvaluation of Noncompletion Bias and Long-Term Adherence in a 10-Year Patient-Reported Outcome Monitoring Program in Clinical Routine
Type de publicationJournal Article
Year of Publication2017
AuteursGamper EMaria, Nerich V, Sztankay M, Martini C, Giesinger JM, Scarpa L, Buxbaum S, Jeller M, Holzner B, Virgolini I
JournalVALUE IN HEALTH
Volume20
Pagination610-617
Date PublishedAPR
Type of ArticleArticle
ISSN1098-3015
Mots-clésclinical routine, Evaluation, mode of assessment, patient reported outcomes
Résumé

Background: Currently there is little knowledge on real-life sustain ability of routine patient-reported outcome (PRO) measurement and the representativeness of collected data. Objectives: The investigation of routine PRO with regard to noncompletion bias and long-term adher- ence, considering the potential impact of mode of assessment (MOA) (paper-pencil vs. electronic PRO [ePRO]) and patient characteristics. Methods: At our department, routine PRO measurement in oncological patients is being done since 2005 using different MOA (paper-pencil assessment until 2011 and ePRO assessment from 2011 onward). We analyzed two different patient groups: patients eligible in both periods (both-MOA group) and patients eligible in only one period (one-MOA group). The primary outcome was PRO noncompletion (100% missing questionnaires). The secondary outcome was poor PRO adherence (>20% missing questionnaires). Multivariate logistic regression models were developed, testing the impact of MOA and patient characteristics on the outcomes in the different patient groups. Results: Data from 1484 eligible patients were included in the analyses. Most of the patients could be included in PRO assessment at least once. PRO noncompletion rates were clearly higher during paper-pencil assessment (odds ratios between 2.72 and 4.31), as were poor PRO adherence rates (odd ratio 2.23). Analyses of potential bias by patient characteristics showed that male patients had a higher risk of poor adherence. Other factors with significant impact were age, country, and cancer diagnosis, but results were indecisive. Conclusions: ePRO increased the feasibility of our clinical routine PRO data for retrospective analyses by increasing completion rates. In general, potential completion bias regarding certain patient characteristics requires attention before generalizing results to the respective populations. Copyright (C) 2017, International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc.

DOI10.1016/j.jval.2017.01.009