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

Quarto
R
Academia
publication
health economics
Authors
Affiliations

Alexina J Mason

London School of Hygiene and Tropical Medicine

Gianluca Baio

University College London

Published

June 1, 2017

Abstract

Cost-effectiveness analyses (CEAs) alongside randomised controlled trials (RCTs) are increasingly designed …

Keywords

Missing Data, Economic Evaluations, Literature Review

Abstract

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

   

Citation

BibTeX citation:
@online{gabrio2017,
  author = {Gabrio, Andrea and J Mason, Alexina and Baio, Gianluca},
  title = {Handling {Missing} {Data} in {Within-Trial}
    {Cost-Effectiveness} {Analysis:} {A} {Review} with {Future}
    {Recommendations}},
  volume = {1},
  number = {2},
  date = {2017-06-01},
  url = {https://link.springer.com/article/10.1007/s41669-017-0015-6},
  doi = {10.1007/s41669-017-0015-6},
  langid = {en},
  abstract = {{[}Cost-effectiveness analyses (CEAs) alongside randomised
    controlled trials (RCTs) are increasingly designed
    ...{]}\{style=“font-size: 85\%”\}}
}
For attribution, please cite this work as:
Gabrio, Andrea, Alexina J Mason, and Gianluca Baio. 2017. “Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future Recommendations.” Pharmacoeconomics-Open. June 1, 2017. https://doi.org/10.1007/s41669-017-0015-6.