Evidence map›Paper›PMID 35113912›Full record

ArticlePloS one2022

Integrating quantitative and qualitative approaches to assess wintertime illness-related absenteeism and its direct and indirect costs among the private sector in Ulaanbaatar.

Mandukhai Ganbat, Nasantogtokh Erdenebileg, Chuluunbileg Batbold, Saruultuya Nergui, Ron Anderson, Clarence Wigfall, Narantsetseg Amarsanaa, Alex Heikens, Moiltmaa Sarantuya, David Warburton

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 5 institutions in 2 countries.

Mandukhai GanbatDepartment of Epidemiology and Biostatistics, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0002-9000-0463
Nasantogtokh ErdenebilegSchool of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Chuluunbileg BatboldSchool of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0002-7900-974X
Saruultuya NerguiSchool of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Ron AndersonSchool of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Clarence WigfallDepartment of Applied Social Psychology, Claremont Graduate University, Claremont, California, United States of America.
Narantsetseg AmarsanaaDepartment of Accounting, Mandakh University, Ulaanbaatar, Mongolia.
Alex HeikensUnited Nations Children Fund, Ulaanbaatar, Mongolia.
Moiltmaa SarantuyaUnited Nations Children Fund, Ulaanbaatar, Mongolia.
David WarburtonDepartment of Surgery, Children's Hospital Los Angeles, University of Southern California, Los Angeles, California, United States of America.
Mongolian National University of Medical Sciences · MNClaremont Graduate University · USMongolian National University · MNUlaanbaatar International University · MNUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Causes for employee absenteeism vary. The commonest cause of work absenteeism is "illness-related." Mongolia's capital city, Ulaanbaatar, experiences high employee absenteeism during the winter than during other seasons due to the combination of extreme cold and extreme air pollution. We identified direct and indirect costs of absenteeism attributed to air pollution among private-sector employees in Ulaanbaatar. Using a purposive sampling design, we obtained questionnaire data for 1,330 employees working for private-sector companies spanning six economic sectors. We conducted 26 employee focus groups and 20 individual employer in-depth interviews. We used both quantitative and qualitative instruments to characterize the direct and indirect costs of absence due to illnesses attributed to severe air pollution during wintertime. Female employees and employees with a young child at home were more likely to be absent. Respiratory diseases accounted for the majority of reported air pollution-related illnesses. All participants perceived that air pollution adversely affected their health. Individual employee direct costs related to absence totaled 875,000 MNT ($307.10) for an average of three instances of three-day illness-related absences during the winter. This sum included diagnostic and doctor visit-related, medication costs and hospitalization costs. Non-healthcare-related direct cost (transportation) per absence was 50,000₮ ($17.60). Individual indirect costs included the value of lost wages for the typical 3-day absence, amounting to 120,000₮ ($42.10). These total costs to employees, therefore, may amount to as much as 10% of annual income. The majority of sick absences were unpaid. Overall, the cost of wintertime absences is substantial and fell disproportionately on female employees with young children.

Indexed as

AbsenteeismCost of IllnessHealth Care CostsSeasonsAdultChildCross-Sectional StudiesEmploymentFemaleHumansMaleMongoliaPrivate SectorQualitative ResearchSick Leave

Identifiers

PMID35113912
PMCPMC8812901
OpenAlexW4210557419

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.