ArticlePharmacoEconomics2025
Scoping Review of Productivity-Adjusted Life Years (PALYs): Methods, Applications and Policy Implications.
Article in PharmacoEconomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Societal and Economic Impact of Informal Caregiving for Musculoskeletal Conditions: A Productivity-Adjusted Life Year (PALY) Study.Journal of occupational rehabilitation · 2026Article
- The Health and Productivity Impact of Thyroid Diseases Among Working-Age Women in Western Europe.International journal of women's health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo understand the application of productivity-adjusted life years (PALYs) as an outcome measure across various disease contexts.
methodsWe conducted a scoping review of studies published between 2018 and April 2025 that utilised PALYs to illustrate their potential applications and identify methodological approaches that have been applied. Using a citation-based search, we selected studies that applied PALYs to quantify societal health burdens in specific diseases or contexts. Extracted data included health conditions, country, timeframe, model type, outcomes, productivity index components, gross domestic product and sensitivity analysis. Findings were summarised through narrative synthesis.
resultsA total of 41 studies conducted between 2018 and 2025 were reviewed, including chronic diseases such as diabetes and cardiovascular diseases, as well as environmental factors. Conditions such as breast cancer, leukaemia, kidney disease, mental health, knee osteoarthritis, epilepsy and sleep apnoea had the lowest productivity indices. Most of these studies originated from high-income countries (n = 27), followed by upper-middle-income (n = 10), and lower-middle-income (n = 4) settings. Life table models were the most common methodological approach adopted (n = 26), followed by dynamic models (n = 10). Studies focused on disease prevention (n = 21) outnumbered those addressing disease management (n = 18). Most studies accounted for both absenteeism and presenteeism (n = 30). Estimates of productivity loss per person using gross domestic product ranged from US$1137 to AU$217,983 annually.
conclusionsPALYs have been utilised in diverse diseases and contexts, highlighting their utility in measuring societal health impacts. However, adding unpaid and informal work makes burden estimates more accurate. The increasing emphasis on prevention indicates a strategic change in health policy and economic assessment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.