Evidence map›Paper›PMID 25169062›Full record

ReviewPharmacoEconomics2015

Estimating productivity costs in health economic evaluations: a review of instruments and psychometric evidence.

Kenneth Tang

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
–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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A noticeable difference? Productivity costs related to paid and unpaid work in economic evaluations on expensive drugs.The European journal of health economics : HEPAC : health economics in prevention and care · 2016
    Pooled it
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  13. Productivity loss among people with early multiple sclerosis: A Canadian study.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022
    Article
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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

1 author.

Kenneth TangMobility Program Clinical Research Unit, Li Ka Shing Knowledge Institute of St. Michael's Hospital, 30 Bond Street, Toronto, ON, Canada, ken.tang@mail.utoronto.ca.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Health economic evaluations (i.e. cost-effectiveness appraisal of an intervention) are useful aids for decision makers responsible for the allocation of scarce healthcare resources. The relevance of including health-related productivity costs (or benefits) in these evaluations is increasingly recognized and, as such, reliable and valid instruments to quantify productivity costs are needed. Over the years, a number of work productivity instruments have emerged in the literature, along with a growing body of psychometric evidence. The overall aim of this paper is to provide a review of available instruments with potential for estimating health-related productivity costs. This included the Health and Labor Questionnaire, Health and Work Performance Questionnaire, Health-Related Productivity Questionnaire Diary, Productivity and Disease Questionnaire, Quantity and Quality method, Stanford Presenteeism Scale 13, Valuation of Lost Productivity, Work and Health Interview, Work Limitations Questionnaire, Work Productivity and Activity Impairment Questionnaire, and Work Productivity Short Inventory. Critical discussions on the instruments' overall strengths and limitations, applicability for health economic evaluations, as well as the methodological quality of existing psychometric evidence were provided. Lastly, a set of reflective questions were proposed for users to consider when selecting an instrument for health economic evaluations.

Indexed as

Decision MakingEconomics, MedicalSurveys and QuestionnairesCost-Benefit AnalysisDelivery of Health CareEfficiencyHumansPsychometrics

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.