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Handling Missing Data in Health Economics and Outcomes Research (HEOR): A Systematic Review and Practical Recommendations.

التفاصيل البيبلوغرافية
العنوان: Handling Missing Data in Health Economics and Outcomes Research (HEOR): A Systematic Review and Practical Recommendations.
المؤلفون: Mukherjee K; Philadelphia College of Osteopathic Medicine, Suwanee, GA, USA., Gunsoy NB; Abbvie Ltd., Vanwall Business Park, Maidenhead, UK., Kristy RM; Astellas Pharma, Northbrook, IL, USA., Cappelleri JC; Pfizer Inc., Groton, CT, USA., Roydhouse J; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia., Stephenson JJ; Carelon Research, Wilmington, DE, USA., Vanness DJ; Pennsylvania State University, University Park, PA, USA., Ramachandran S; University of Mississippi, University, MS, USA., Onwudiwe NC; Pharmaceutical Economics Consultants of America, Silver Spring, MD, USA., Pentakota SR; Rutgers New Jersey Medical School, Jersey City, NJ, USA., Karcher H; Novartis Pharma AG, Basel, Switzerland., Di Tanna GL; Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Stabile Piazzetta, Via Violino 11, 6928, Manno, Switzerland. gianluca.ditanna@supsi.ch.
المصدر: PharmacoEconomics [Pharmacoeconomics] 2023 Dec; Vol. 41 (12), pp. 1589-1601. Date of Electronic Publication: 2023 Jul 25.
نوع المنشور: Systematic Review
اللغة: English
بيانات الدورية: Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 9212404 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-2027 (Electronic) Linking ISSN: 11707690 NLM ISO Abbreviation: Pharmacoeconomics
أسماء مطبوعة: Publication: Auckland : Adis, Springer International
Original Publication: Auckland ; Philadelphia : Adis International, c1992-
مواضيع طبية MeSH: Research Design* , Outcome Assessment, Health Care*, Humans ; Data Interpretation, Statistical ; Bias ; Cost-Benefit Analysis
مستخلص: Background: Missing data in costs and/or health outcomes and in confounding variables can create bias in the inference of health economics and outcomes research studies, which in turn can lead to inappropriate policies. Most of the literature focuses on handling missing data in randomized controlled trials, which are not necessarily always the data used in health economics and outcomes research.
Objectives: We aimed to provide an overview on missing data issues and how to address incomplete data and report the findings of a systematic literature review of methods used to deal with missing data in health economics and outcomes research studies that focused on cost, utility, and patient-reported outcomes.
Methods: A systematic search of papers published in English language until the end of the year 2020 was carried out in PubMed. Studies using statistical methods to handle missing data for analyses of cost, utility, or patient-reported outcome data were included, as were reviews and guidance papers on handling missing data for those outcomes. The data extraction was conducted with a focus on the context of the study, the type of missing data, and the methods used to tackle missing data.
Results: From 1433 identified records, 40 papers were included. Thirteen studies were economic evaluations. Thirty studies used multiple imputation with 17 studies using multiple imputation by chained equation, while 15 studies used a complete-case analysis. Seventeen studies addressed missing cost data and 23 studies dealt with missing outcome data. Eleven studies reported a single method while 20 studies used multiple methods to address missing data.
Conclusions: Several health economics and outcomes research studies did not offer a justification of their approach of handling missing data and some used only a single method without a sensitivity analysis. This systematic literature review highlights the importance of considering the missingness mechanism and including sensitivity analyses when planning, analyzing, and reporting health economics and outcomes research studies.
(© 2023. The Author(s).)
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تواريخ الأحداث: Date Created: 20230725 Date Completed: 20231110 Latest Revision: 20231113
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC10635950
DOI: 10.1007/s40273-023-01297-0
PMID: 37490207
قاعدة البيانات: MEDLINE
الوصف
تدمد:1179-2027
DOI:10.1007/s40273-023-01297-0