Evidence map›Paper›PMID 34313940›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2022

Predicting presenteeism using measures of health status.

Cheryl Jones, Katherine Payne, Alexander Thompson, Suzanne M M Verstappen

Abstract read
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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Cheryl JonesManchester Centre for Health Economics, The University of Manchester, 4.306, Jean McFarlane Building, Manchester, M13 9PL, UK. cheryl.jones@manchester.ac.uk.ORCID http://orcid.org/0000-0002-3024-225X
Katherine PayneManchester Centre for Health Economics, The University of Manchester, 4.306, Jean McFarlane Building, Manchester, M13 9PL, UK.ORCID http://orcid.org/0000-0002-3938-4350
Alexander ThompsonManchester Centre for Health Economics, The University of Manchester, 4.306, Jean McFarlane Building, Manchester, M13 9PL, UK.
Suzanne M M VerstappenArthritis Research UK Centre for Epidemiology, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID http://orcid.org/0000-0001-6181-0646

Funding

Arthritis Research UK 20665Medical Research Council 20665Versus Arthritis 20665
6 · The paper itself

Abstract

objectivesTo identify whether it is feasible to develop a mapping algorithm to predict presenteeism using multiattribute measures of health status.

methodsData were collected using a bespoke online survey in a purposive sample (n = 472) of working individuals with a self-reported diagnosis of Rheumatoid arthritis (RA). Survey respondents were recruited using an online panel company (ResearchNow). This study used data captured using two multiattribute measures of health status (EQ5D-5 level; SF6D) and a measure of presenteeism (WPAI, Work Productivity Activity Index). Statistical correlation between the WPAI and the two measures of health status (EQ5D-5 level; SF6D) was assessed using Spearman's rank correlation. Five regression models were estimated to quantify the relationship between WPAI and predict presenteeism using health status. The models were specified based in index and domain scores and included covariates (age; gender). Estimated and observed presenteeism were compared using tenfold cross-validation and evaluated using Root mean square error (RMSE).

resultsA strong and negative correlation was found between WPAI and: EQ5D-5 level and WPAI (r = - 0.64); SF6D (r =- 0.60). Two models, using ordinary least squares regression were identified as the best performing models specifying health status using: SF6D domains with age interacted with gender (RMSE = 1.7858); EQ5D-5 Level domains and age interacted with gender (RMSE = 1.7859).

conclusionsThis study provides indicative evidence that two existing measures of health status (SF6D and EQ5D-5L) have a quantifiable relationship with a measure of presenteeism (WPAI) for an exemplar application of working individuals with RA. A future study should assess the external validity of the proposed mapping algorithms.

Indexed as

AbsenteeismPresenteeismEfficiencyHealth StatusHumansQuality of LifeSurveys and QuestionnairesAutoimmuneHealth-related quality of lifeHealth statusMappingPredictionPresenteeism

Identifiers

PMID34313940
PMCPMC8847206

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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.