How do HEOR studies handle missing data?

That is the questioned answered in a paper by Mukherjee et al. (2023). The authors define an “HEOR study” for this paper as …real-world evidence studies that conducted a secondary/post-hoc analysis using randomized controlled trial (RCT) data, and a within-trial cost-utility analysis in which the outcome of interest was costs or PROs including preference-based utilities…

Dealing with missing data

If you are doing a cost-effectiveness analysis (CEA) that relies on clinical trial data, what should you do if there is missing data in the trial? A paper by Faria et al. (2014) helps to provide the answer. The first question is, how are the data missing. There are a few options for defining this…

Do pharmaceuticals improve quality of life? A Bayesian answer to the question when there is missing data

Let’s say we are interested in determining whether a particular treatment improves quality of life. Common measures of quality of life include EQ-5D, SF-12, and SF-36, among others. However, a systematic review of 237 randomized controlled trials found that only 43% collected SF-12 or SF-36 measures. If you are measuring a treatment’s effect on quality…

How Missing Data affects Physicians’ P4P Bonuses

Pay-for-performance programs often offer bonuses (or penalties) for physicians, hospitals and other providers based on the quality of care patients receive.  Measuring quality of care, however, is often difficult.  For chronic conditions, for instance, many patients eligible for outcome measures may be lost to follow-up.  This issue can potentially affect provider evaluations and bonus payments.…