1. Measuring, Analyzing, and Presenting Work Productivity Loss in Randomized Controlled Trials: A Scoping Review.
- Author
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Zhang, Wei, Tocher, Paige, L'Heureux, Jacynthe, Sou, Julie, and Sun, Huiying
- Subjects
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LABOR productivity , *RANDOMIZED controlled trials , *EMPLOYMENT changes , *SKEWNESS (Probability theory) , *GAUSSIAN distribution - Abstract
This study aimed to conduct a scoping review of randomized controlled trials (RCTs) and investigate which work productivity loss outcomes were measured in these RCTs, how each outcome was measured and analyzed, and how the results for each outcome were presented. A systematic search was conducted from January 2010 to April 2020 from 2 databases: PubMed and Cochrane Central Register of Controlled Trials. Data on country, study population, disease focus, sample size, work productivity loss outcomes measured (absenteeism, presenteeism, employment status changes), and methods used to measure, report, and analyze each work productivity loss outcome were extracted and analyzed. We found 435 studies measuring absenteeism or presenteeism, of which 155 studies (35.6%) measured both absenteeism and presenteeism and were included in our final review. Only 9 studies also measured employment status changes. The most used questionnaire was the Work Productivity and Activity Impairment Questionnaire. The analysis of absenteeism and presenteeism data was mostly done using regression models (n = 98, n = 98, respectively) for which a normal distribution was assumed (n = 77, n = 89, respectively). Absenteeism results were most often presented in time whereas presenteeism was commonly presented using a percent scale or score. There is a lack of consensus on how to measure, analyze, and present work productivity loss outcomes in RCTs published in the past 10 years. The diversity of measurement, analysis, and presentation methods used in RCTs may make comparability challenging. There is a need for guidelines providing recommendations to standardize the comprehensiveness and the appropriateness of methods used to measure, analyze, and report work productivity loss in RCTs. • Increasingly, randomized controlled trials (RCTs) are incorporating work productivity loss as a patient-centered outcome. Previous literature has focused on assessing measurement properties of various questionnaires used to measure work productivity loss. Nevertheless, little is known about current research practices in terms of which work productivity loss outcomes are measured (absenteeism, presenteeism, and employment status changes) and how they are measured, analyzed, and presented in RCTs among broader populations including employees, patients, and caregivers. • We found 435 studies measuring absenteeism or presenteeism. Among them, 155 (35.6%) measured both, and only 9 studies also measured employment status changes. The most used questionnaire was the Work Productivity and Activity Impairment Questionnaire. Despite their skewed distribution with many zeros, absenteeism and presenteeism were commonly analyzed with models that assume they follow a normal distribution. Absenteeism results were most often presented in time, whereas presenteeism was commonly presented using a percent scale or score. • RCTs are measuring work productivity loss as a patient-centered outcome or a cost component for economic evaluations. The results of RCTs and economic evaluations are critical in informing healthcare decision makers for their funding decisions. Our review suggests that most RCTs partially measured work productivity loss and may not analyze the data with statistically appropriate methods, which may result in reporting underestimated loss and biased treatment effects. The diverse methods used in RCTs make comparability challenging. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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