Evidence map›Paper›PMID 40553408›Full record

SynthesisPharmacoEconomics - open2025

Including Productivity as an Element to Reflect Value of the Treatment: A Systematic Review of Published Health Economic Evaluations.

Hiroaki Mamiya, Kittima Wattanakamolkul, Nan Li, David Bin-Chia Wu, Mariko Hirozane, Ataru Igarashi

Abstract readSystematic Review
In one paragraph

Synthesis in PharmacoEconomics - open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hiroaki MamiyaDepartment of Pharmaceutical Sciences, International University of Health and Welfare, Narita city, Chiba, Japan.
Kittima WattanakamolkulValue, Evidence and Access Department, Integrated Market Access, Johnson and Johnson, Tokyo, Japan. KWattan1@ITS.JNJ.com.
Nan LiValue, Evidence and Access Department, Integrated Market Access, Johnson and Johnson, Tokyo, Japan.
David Bin-Chia WuAsia Pacific Regional Market Access, Johnson and Johnson, Singapore, Singapore.
Mariko HirozanePolicy Department, Integrated Market Access, Johnson and Johnson, Tokyo, Japan.
Ataru IgarashiDepartment of Health Economics and Outcomes Research, The University of Tokyo, Bunkyō, Tokyoō, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProductivity is utilised inconsistently in value assessment and poses methodological and conceptual challenges for estimation. This systematic literature review aims to understand how productivity gain/loss for patients and caregivers was measured in health economic evaluation, identify the preferred instruments to capture productivity gain/loss and assess their properties.

methodsA systematic literature review was conducted using PubMed, Ovid MEDLINE, Embase, Japan-specific (J-STAGE and Ichushi Web) and economic literature databases (Cost-Effectiveness Analysis (CEA) Registry, Paediatric Economic Database Evaluation (PEDE) and National Health Service Economic Evaluation Database (NHS EED)). Additional relevant data were identified using clinical trial registries and grey literature searches. Studies published between January 2021 and December 2023 which presented economic evaluations with outcomes relevant to productivity measures were included. Instruments were selected for practical relevance and frequent use in studies, while research-specific and single-study questionnaires were excluded.

resultsAmong 1431 published health economic evaluations with productivity in the assessment, 152 were included in this review. These studies were almost equally distributed over the 3-year period, with a slightly higher number in 2023 versus 2021 [54 (35.5%) versus 48 (31.6%)]. In total, 118/152 studies reported patient measures only, 14/152 reported caregiver measures only and 20/152 reported both patient and caregiver measures. Based on the inclusion criteria, 20 of the 88 identified instruments were further investigated in this review. The Work Productivity and Activity Impairment Questionnaire (WPAI) [23 (15.1%)], Institute for Medical Technology Assessment (iMTA) Productivity Cost Questionnaire (iPCQ) [23 (15.1%)] and Trimbos/iMTA Questionnaire for Costs associated with Psychiatric Illness​ (TIC-P) [(8 (5.3%)] were the most commonly used instruments. All three instruments were reported as valid and reliable. All three instruments reported absenteeism, presenteeism and overall work impairment. WPAI additionally included information on daily activity impairment. The human capital approach (n = 18) and the friction cost approach (n = 17) were utilised to assign monetary value to the lost productivity.

conclusionsThis review identified a significant number of health economic evaluations between 2021 and 2023, which included productivity loss in the assessment. Various instruments were used to measure productivity loss in these studies, while a few instruments were commonly used across studies. To ensure consistent measurement of productivity, it is crucial to establish a standard tailored to a country or region, considering differences across countries or regions. Furthermore, necessary adaptations should be made on the basis of the specific health intervention being studied. Last, maintaining transparency in all productivity evaluations is vital.

Identifiers

PMID40553408
PMCPMC12401843

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.