Evidence map›Paper›PMID 37148531›Full record

ArticlePharmacoEconomics2023

Measuring the Indirect Cost of Illness Using EQ-5D-5L While Accounting for Job Characteristics.

Beata Koń, Michał Jakubczyk

Abstract read
In one paragraph

Article in PharmacoEconomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Analysis of sickness absenteeism in a public university: a temporal statistical study.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Review
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

2 authors.

Beata KońDecision Analysis and Support Unit, SGH Warsaw School of Economics, Warsaw, Poland. konbeata@gmail.com.ORCID 0000-0003-2190-4546
Michał JakubczykDecision Analysis and Support Unit, SGH Warsaw School of Economics, Warsaw, Poland.ORCID 0000-0002-0006-6769

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe EQ-5D-5L questionnaire is used to measure treatment effects on the quality of life. For cost-utility analyses, EQ-5D-5L profiles are assigned numbers representing societal preferences (index weights). On the cost side, the indirect costs are frequently included: the value of product lost due to illness-related absences (absenteeism) or diminished productivity (presenteeism). The possibility to use EQ-5D data to estimate absenteeism and presenteeism (A&P) would be useful, if real-world data on A&P are lacking. However, beyond-health factors may also matter for A&P.

objectiveWe aimed to assess how A&P depend on the EQ-5D-5L profile, while accounting for job characteristics (e.g. remote or in-office).

methodsWe surveyed 756 employed Poles. Respondents reported their job characteristics and evaluated the impact of eight hypothetical EQ-5D-5L profiles on A&P (two blocks of states used). Econometric modelling was used to establish the determinants of A&P.

resultsBoth A&P increase with health problems as indicated across EQ-5D-5L dimensions (especially mobility and self-care), and this impact differs from the impact on index weight (e.g. pain/discomfort barely impact the A&P). The job characteristics mattered: absenteeism decreases in sedentary occupations and increases in those occupations performed remotely or requiring cooperation, while presenteeism increases in jobs performed remotely and decreases for those requiring creative thinking.

conclusionsThe entire EQ-5D-5L profile, not just index weights, should be used to estimate A&P. That job characteristics matter may be relevant in applications, as some diseases concentrate in specific subgroups.

Indexed as

Health StatusQuality of LifeCost of IllnessHumansPainPsychometricsSurveys and Questionnaires

Identifiers

PMID37148531
PMCPMC10163582

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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.