Reference 5, which reads: 5. Manca P, Palmer S. Handling missing values in cost effectiveness analyses that use data from cluster randomized trials. Appl Health Econ Health Policy. 2006;4:65–75. Should read: 5. Manca A, Palmer S. Handling missing data in patientlevel cost-effectiveness analysis alongside randomised clinical trials. Appl Health Econ Health Policy. 2005;4:65–75

Baio, Gianluca

Gabrio, Andrea

Mason, Alexina J

Cost-effectiveness analyses (CEAs) alongside randomised controlled trials (RCTs) are increasingly designed to collect resource use and preference-based health status data for the purpose of healthcare technology assessment. However, because of the way these measures are collected, they are prone to missing data, which can ultimately affect the decision of whether an intervention is good value for money. We examine how missing cost and effect outcome data are handled in RCT-based CEAs, complementing a previous review (covering 2003-2009, 88 articles) with a new systematic review (2009-2015, 81 articles) focussing on two different perspectives. First, we provide guidelines on how the information about missingness and related methods should be presented to improve the reporting and handling of missing data. We propose to address this issue by means of a quality evaluation scheme, providing a structured approach that can be used to guide the collection of information, elicitation of the assumptions, choice of methods and considerations of possible limitations of the given missingness problem. Second, we review the description of the missing data, the statistical methods used to deal with them and the quality of the judgement underpinning the choice of these methods. Our review shows that missing data in within-RCT CEAs are still often inadequately handled and the overall level of information provided to support the chosen methods is rarely satisfactory

LSHTM Research Online

Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future Recommendations.

Andrea Gabrio

Alexina J. Mason

Gianluca Baio

Springer - Publisher Connector

Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future Recommendations

ERRATUMErratum to: Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future RecommendationsAndrea Gabrio1 • Alexina J. Mason2 • Gianluca Baio1Published online: 8 May 2017 The Author(s) 2017. This article is an open access publicationErratum to: PharmacoEconomics OpenDOI 10.1007/s41669-017-0015-6Reference 5, which reads:5. Manca P, Palmer S. Handling missing values in costeffectiveness analyses that use data from cluster random-ized trials. Appl Health Econ Health Policy. 2006;4:65–75.Should read:5. Manca A, Palmer S. Handling missing data in patient-level cost-effectiveness analysis alongside randomisedclinical trials. Appl Health Econ Health Policy.2005;4:65–75.Open Access This article is distributed under the terms of theCreative Commons Attribution-NonCommercial 4.0 InternationalLicense (http://creativecommons.org/licenses/by-nc/4.0/), which per-mits any noncommercial use, distribution, and reproduction in anymedium, provided you give appropriate credit to the original author(s)and the source, provide a link to the Creative Commons license, andindicate if changes were made.The online version of the original article can be found underdoi:10.1007/s41669-017-0015-6.& Andrea Gabrioandrea.gabrio.15@ucl.ac.uk1 Department of Statistical Science, University CollegeLondon, 1–19 Torrington Place, London WC1E 7HB, UK2 Department of Health Services Research and Policy, LondonSchool of Hygiene and Tropical Medicine, 15–17 TavistockPlace, London WC1H 9SH, UKPharmacoEconomics Open (2017) 1:143DOI 10.1007/s41669-017-0029-0