Health-related productivity of the Hungarian population. A cross-sectional survey
Autor: | Péntek M; Egészségügyi Közgazdaságtan Tanszék,Budapesti Corvinus Egyetem, Budapest., Beretzky Z; Egészségügyi Közgazdaságtan Tanszék,Budapesti Corvinus Egyetem, Budapest.; Gazdálkodástani Doktori Iskola,Budapesti Corvinus Egyetem, Budapest., Brodszky V; Egészségügyi Közgazdaságtan Tanszék,Budapesti Corvinus Egyetem, Budapest., Szabó JA; Általános Orvostudományi Kar, I. Gyermekgyógyászati Klinika,Semmelweis Egyetem, Budapest., Kovács L; Élettani Szabályozások Kutatóközpont,Óbudai Egyetem, Budapest., Kincses Á; Központi Statisztikai Hivatal, Budapest., Baji P; Egészségügyi Közgazdaságtan Tanszék,Budapesti Corvinus Egyetem, Budapest., Zrubka Z; Egészségügyi Közgazdaságtan Tanszék,Budapesti Corvinus Egyetem, Budapest., Rencz F; Egészségügyi Közgazdaságtan Tanszék,Budapesti Corvinus Egyetem, Budapest.; Prémium Posztdoktori Kutatói Program,Magyar Tudományos Akadémia, Budapest., Gulácsi L; Egészségügyi Közgazdaságtan Tanszék,Budapesti Corvinus Egyetem, Budapest. |
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Jazyk: | maďarština |
Zdroj: | Orvosi hetilap [Orv Hetil] 2020 Sep; Vol. 161 (36), pp. 1522-1533. |
DOI: | 10.1556/650.2020.31798 |
Abstrakt: | Introduction: Health disorders may affect negatively work productivity of individuals, leading to absence from work (absenteeism) and/or decreased functioning in the workplace (presenteeism). Aim: To assess the health-related work productivity of the adult population in Hungary by the Work Productivity and Activity Impairment questionnaire (WPAI). Method: A cross-sectional survey was performed in 2019 involving a sample (n = 2023) representative for the adult population of Hungary. Socio-demographic characteristics were recorded. Health-related productivity of the participants was assessed by the WPAI questionnaire, health status was measured by the EQ-5D-3L measurement tool and the Minimum European Health Module (MEHM). Statistical Analyses: Descriptive statistics were performed, subgroups were compared by Mann-Whitney and Kruskal-Wallis tests. Spearman's rank correlation was applied to analyze the relationship between WPAI, age and EQ-5D-3L index score. Results: Among those in a paid job (n = 1194, 59%), altogether 70 respondents (6%) were absent from work during the week before the survey, which resulted in an average 1.9 (SD = 8.5) work hours loss per week. Presenteeism occurred in 166 (14%) cases. The average absenteeism was 3.6%, presenteeism was 4.4%, and activity impairment in the total sample was 9.5%. Absenteeism did not correlate with age and did not differ significantly across socio-demographic subgroups. Presenteeism was the highest among actively working retired people, disability pensioners and part-time employees. Presenteeism correlated moderately (r = -0.379), absenteeism weakly (r = -0.113) with EQ-5D-3L index. Correlation was significant between activity impairment and age (r = 0.412) as well as the EQ-5D-3L index score (r = -0.592). All WPAI items showed significant worsening across MEHM status levels. Conclusion: This is the first study in Hungary to present population reference values with the WPAI. Productivity loss due to presenteeism deserves special attention from the employers as well as from decision makers in the labour, health and social sectors. Orv Hetil. 2020; 161(36): 1522-1533. |
Databáze: | MEDLINE |
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