Pomiar i ocena absencji chorobowej pracujących: badanie przekrojowe w krajach Europy

Autor

DOI:

https://doi.org/10.18778/1508-2008.26.37

Słowa kluczowe:

absencja chorobowa pracowników, absenteizm, globalne miary absencji, międzynawowe porównania, zróżnicowanie regionalne, kraje Europy

Abstrakt

W artykule dokonano obszernej analizy absencji chorobowej pracowników w krajach Europy. W tym celu skonstruowano i przetestowano trzy miary absenteizmu: globalny wskaźnik absencji, wskaźnik częstości absencji i surowy absolutny wskaźnik absencji. Do obliczenia wskaźników wykorzystano dane pochodzące z baz mających otwarty dostęp, m.in. Eurostatu, OECD, WHO. W artykule uwzględniono długookresową trajektorię (1970–2020) oraz wpływ zróżnicowania regionalnego na absencję chorobową pracujących. Wykorzystując współczynniki korelacji i analizę wariancji, przetestowano odporność miar oraz przedstawiono ograniczenia proponowanego podejścia. Wyniki dowodzą, że proponowane wskaźniki stanowią unikalne narzędzie służące ocenie i monitorowaniu stanu absencji chorobowej w krajach europejskich. Co więcej, miary dają pewną elastyczność i możliwość ich stosowania w kontekście porównywalności i dostępności danych statycznych. Wybór indeksu powinien być jednak determinowany celem badań nad absencją chorobową, ze względu na zróżnicowany potencjał interpretacyjny i aplikacyjny mierników.

Pobrania

Brak dostępnych danych do wyświetlenia.

Bibliografia

Barmby, T.A., Ercolani, M.G., Treble, J.G. (2002), Sickness Absence: An International Comparison, “The Economic Journal”, 112 (480), pp. F315–F331, https://doi.org/10.1111/1468-0297.00046
Google Scholar DOI: https://doi.org/10.1111/1468-0297.00046

Bevan, S., Hayday, S. (2001), Costing Sickness Absence in the UK, https://www.employmentstudies.co.uk/system/files/resources/files/382.pdf (accessed: 19.09.2022).
Google Scholar

Billingsley, S. (2020), Sick leave absence and the relationship between intra‑generational social mobility and mortality: health selection in Sweden, “BMC Public Health”, 20, 8, https://doi.org/10.1186/s12889-019-8103-4
Google Scholar DOI: https://doi.org/10.1186/s12889-019-8103-4

Bishara, A.J., Hittner, J.B. (2012), Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches, “Psychological Methods”, 17 (3), pp. 399–417, https://doi.org/10.1037/a0028087
Google Scholar DOI: https://doi.org/10.1037/a0028087

Blomgren, J., Laaksonen, M., Perhoniemi, R. (2021), Changes in Unemployment Affect Sickness Absence and Disability Retirement Rates: A Municipality‑Level Panel Study, “International Journal Environmental Research Public Health”, 18 (12), 6359, https://doi.org/10.3390/ijerph18126359
Google Scholar DOI: https://doi.org/10.3390/ijerph18126359

Bryson, A., Dale‑Olsen, H. (2019), The Role of Employer‑provided Sick Pay in Britain and Norway, “Health and Labour Markets”, 47, pp. 227–252, https://doi.org/10.1108/S0147-912120190000047008
Google Scholar DOI: https://doi.org/10.1108/S0147-912120190000047008

Caverley, N., Cunningham, J.B., MacGregor, J.N. (2007), Sickness Presenteeism, Sickness Absenteeism, and Health Following Restructuring in a Public Service Organization, “Journal of Management Studies”, 44 (2), pp. 304–319, https://doi.org/10.1111/j.1467-6486.2007.00690.x
Google Scholar DOI: https://doi.org/10.1111/j.1467-6486.2007.00690.x

Chimed‑Ochir, O., Nagata, T., Nagata, M., Kajiki, S., Mori, K., Fujino, Y. (2019), Potential Work Time Lost Due Sickness Absence and Presence Among Japanese Workers, “Journal of Occupational and Environmental Medicine”, 61 (8), pp. 682–688, https://doi.org/10.1097/JOM.0000000000001646
Google Scholar DOI: https://doi.org/10.1097/JOM.0000000000001646

Cicei, C.C., Mohorea, L., Teodoru, A.A. (2013), Investigating Two Predictors of Sickness Presenteeism on a Romanian Sample. The Case of Performance‑Based Self‑Esteem and Overcommitment, “Procedia – Social and Behavioral Sciences”, 78, pp. 325–329, https://doi.org/10.1016/j.sbspro.2013.04.304
Google Scholar DOI: https://doi.org/10.1016/j.sbspro.2013.04.304

Collins, A.M., Cartwright, S., Cowlishaw, S. (2018), Sickness presenteeism and sickness absence over time: A UK employee perspective, “Work & Stress”, 32 (1), https://doi.org/10.1080/02678373.2017.1356396
Google Scholar DOI: https://doi.org/10.1080/02678373.2017.1356396

Csillag, M. (2019), The Incentive Effects of Sickness Absence Compensation – Analysis of a Natural Experiment in Eastern Europe, “Health and Labor Markets”, 47, pp. 195–225, https://doi.org/10.1108/S0147-912120190000047007
Google Scholar DOI: https://doi.org/10.1108/S0147-912120190000047007

Current Population Survey (2021), Labor Force Statistics from the Current Population Survey, https://www.bls.gov/cps/absences.htm (accessed: 12.09.2022).
Google Scholar

De Paola, M., Scoppa, V., Pupo, V. (2014), Absenteeism in the Italian Public Sector: The Effects of Changes in Sick Leave Policy, “Journal of Labor Economics”, 32 (2), pp. 337–360, https://doi.org/10.1086/674986
Google Scholar DOI: https://doi.org/10.1086/674986

European Commission (2022), Euro area and EU working days to build Calendar Adjustment Regressor, https://ec.europa.eu/eurostat/cros/content/euro‑area‑and‑eu‑working‑days‑build‑calendar‑adjustment‑regressor_en (accessed: 19.09.2022).
Google Scholar

Eurostat (2021), Absences from work – quarterly statistics, https://ec.europa.eu/eurostat/statistics‑explained/index.php?title=Archive:Absences_from_work_‑_quarterly_statistics (accessed: 19.09.2022).
Google Scholar

Eurostat (2022), EU labour force survey, https://ec.europa.eu/eurostat/web/microdata/european‑union‑labour‑force‑survey (accessed: 19.09.2022).
Google Scholar

Fischer, J.E., Genser, B., Nauroth, P., Litaker, D., Mauss, D. (2020), Estimating the potential reduction in future sickness absence from optimizing group‑level psychosocial work characteristics: a prospective, multicenter cohort study in German industrial settings, “Journal of Occupational Medicine and Toxicology”, 15, 33, https://doi.org/10.1186/s12995-020-00284‑x
Google Scholar DOI: https://doi.org/10.1186/s12995-020-00284-x

Garbiec, R. (2019), The Impact of Social Security Reform on the Financial Effectiveness of the Polish Social Security Administration, “Public Policy and Administration Review”, 7 (1), pp. 7–14, https://doi.org/10.15640/ppar.v7n1a2
Google Scholar DOI: https://doi.org/10.15640/ppar.v7n1a2

Gauthier, T.D. (2001), Detecting Trends Using Spearman’s Rank Correlation Coefficient, “Environmental Forensics”, 2 (4), pp. 359–362, https://doi.org/10.1006/enfo.2001.0061
Google Scholar DOI: https://doi.org/10.1006/enfo.2001.0061

Gimeno, D., Bültmann, U., Benavides, F.G., Alexanderson, K., Abma, F.I., Ubalde‑López, M., Roelen, C.A., Kjeldgård, L., Delclos, G.L. (2014), Cross‑national comparisons of sickness absence systems and statistics: towards common indicators, “European Journal of Public Health”, 24 (4), pp. 663–666, https://doi.org/10.1093/eurpub/cku070
Google Scholar DOI: https://doi.org/10.1093/eurpub/cku070

Havik, K., Mc Morrow, K., Orlandi, F., Planas, C., Raciborski, R., Röger, W., Rossi, A., Thum‑Thysen, A.V.V. (2014), The Production Function Methodology for Calculating Potential Growth Rates and Output Gaps, Brussels, “European Economy. Economic Papers”, 535.
Google Scholar

Hecke, T.V. (2012), Power study of anova versus Kruskal‑Wallis test, “Journal of Statistics and Management Systems”, 15, https://doi.org/10.1080/09720510.2012.10701623
Google Scholar DOI: https://doi.org/10.1080/09720510.2012.10701623

Hensing, G. (2010), The measurements of sickness absence – a theoretical perspective, “Norsk Epidemiologi”, 19 (2), https://doi.org/10.5324/nje.v19i2.584
Google Scholar DOI: https://doi.org/10.5324/nje.v19i2.584

Hill, J.J., Slade, M.D., Cantley, L., Vegso, S., Fiellin, M., Cullen, M.R. (2008), The Relationships Between Lost Work Time and Duration of Absence Spells: Proposal for a Payroll Driven Measure of Absenteeism , “Journal of Ocbetween Lost Work Time and Duration of Absence Spells: Proposal Cupational and Environmental Medicine”, 50 (7), pp. 840–851, https://doi.org/10.1097/JOM.0b013e31816b44dd
Google Scholar DOI: https://doi.org/10.1097/JOM.0b013e31816b44dd

IES (2022), Report Summary. Measuring and Monitoring Absence from Work, https://www.employment‑studies.co.uk/report‑summaries/report‑summary‑measuring‑andmonitoring‑absence‑work (accessed: 19.09.2022).
Google Scholar

Janssens, H., Clays, E., De Clercq, B., De Bacquer, D., Braeckman, L. (2013), The Relation between Presenteeism and Different Types of Future Sickness Absence, “Journal of Occupational Health”, 55 (3), pp. 132–141, https://doi.org/10.1539/joh.12-0164‑OA
Google Scholar DOI: https://doi.org/10.1539/joh.12-0164-OA

Johns, G., Al Hajj, R. (2016), Frequency versus time lost measures of absenteeism: Is the voluntariness distinction an urban legend?, “Journal of Organizational Behavior”, 37 (3), pp. 456–479, https://doi.org/10.1002/job.2055
Google Scholar DOI: https://doi.org/10.1002/job.2055

Jurek, U. (2021), The situation on the labor market and sickness absence: a cyclical and seasonal approach, “Studia Prawno‑Ekonomiczne”, 120, pp. 197–219, https://doi.org/10.26485/SPE/2021/120/11
Google Scholar DOI: https://doi.org/10.26485/SPE/2021/120/11

Knies, S., Boonen, A., Candel, M., Evers, S., Severens, J. (2013), Compensation Mechanisms for Lost Productivity: A Comparison between Four European Countries, “Value in Health”, 16 (5), pp. 740–744, https://doi.org/10.1016/j.jval.2013.03.1624
Google Scholar DOI: https://doi.org/10.1016/j.jval.2013.03.1624

Kpolovie, P. (2016), Statistical Techniques for Advanced Research, New Owerri, Springfield Publishers Ltd.
Google Scholar

Kusideł, E., Striker, M. (2016), Sickness absence and unemployment in the labour market in Poland, “Polityka Społeczna”, 509 (8), pp. 6–10.
Google Scholar

Lar, L.A., Ogbeyi, O., Wudiri, Z. (2019), Absenteeism among staff of a state specialist hospital in Nigeria. International Research, “Journal of Medicine and Medical Sciences”, 7 (3), pp. 68–74, https://doi.org/10.30918/IRJMMS.73.19.038
Google Scholar DOI: https://doi.org/10.30918/IRJMMS.73.19.038

Lusinyan, L., Bonato, L. (2007), Work Absence in Europe, “IMF Staff Papers”, 54 (3), pp. 475–538, https://doi.org/10.1057/palgrave.imfsp.9450016
Google Scholar DOI: https://doi.org/10.1057/palgrave.imfsp.9450016

McDonald, J.H., Verrelli, B.C., Geyer, L.B. (1996), Lack of geographic variation in anonymous nuclear polymorphisms in the American oyster, Crassostrea virginica, “Molecular Biology and Evolution”, 13 (8), pp. 1114–1118, https://doi.org/10.1093/oxfordjournals.molbev.a025673
Google Scholar DOI: https://doi.org/10.1093/oxfordjournals.molbev.a025673

Mekonnen, T.H., Lamessa, S.K., Wami, S.D. (2019), Sickness‑related absenteeism and risk factors associated among flower farm industry workers in Bishoftu town, Southeast Ethiopia, 2018: a cross‑sectional study, “BMC Research Notes”, 12 (1), 181, https://doi.org/10.1186/s13104-019-4223-2
Google Scholar DOI: https://doi.org/10.1186/s13104-019-4223-2

Nowak, J., Emmermacher, A., Wendsche, J., Döbler, A.S., Wegge, J. (2022), Presenteeism and absenteeism in the manufacturing sector: A multilevel approach identifying underlying factors and relations to health, “Current Psychology”, 42, pp. 18641–18659, https://doi.org/10.1007/s12144-022-03013-1
Google Scholar DOI: https://doi.org/10.1007/s12144-022-03013-1

OECD (2007), Society at a Glance 2006: OECD Social Indicators, OECD Publishing, Paris.
Google Scholar

OECD (2008), Handbook on Constructing Composite Indicators: Methodology and User Guide, OECD Publishing, Paris.
Google Scholar

OECD (2022), Compensated Absence from Work Due to Illness. OECD Health Statistics 2022 Definitions, Sources and Methods, OECD Publishing, Paris.
Google Scholar

Ose, S.O., Kaspersen, S.L., Leinonen, T., Verstappen, S., Rijk, A. de, Spasova, S., Hultqvist, S., Nørup, I., Pálsson, J.R., Blume, A., Paternoga, M., Kalseth, J. (2022), Follow‑up regimes for sick‑listed employees: A comparison of nine north‑western European countries, “Health Policy”, 126 (7), pp. 619–631, https://doi.org/10.1016/j.healthpol.2022.05.002
Google Scholar DOI: https://doi.org/10.1016/j.healthpol.2022.05.002

Palme, M., Persson, M. (2020), Sick Pay Insurance and Sickness Absence: Some European Cross‐Country Observations and a Review of Previous Research, “Journal of Economic Surveys”, 34 (1), pp. 85–108, http://doi.org/10.1111/joes.12351
Google Scholar DOI: https://doi.org/10.1111/joes.12351

Prasad, D.K., Puttaswamy, M. (2017), Community Based, Cross Sectional Study on Sickness Absenteeism among Agriculture Workers in Ramanagara District, Karnataka, “Scholars Journal of Applied Medical Sciences (SJAMS)”, 5 (3C), pp. 912–919
Google Scholar

Qin, P., Agerbo, E., Westergård‑Nielsen, N., Eriksson, T., Mortensen, P.B. (2000), Gender differences in risk factors for suicide in Denmark, “The British Journal of Psychiatry”, 177 (6), pp. 546–550, https://doi.org/10.1192/bjp.177.6.546
Google Scholar DOI: https://doi.org/10.1192/bjp.177.6.546

Reuter, M., Dragano, N., Wahrendorf, M. (2020), Working while sick in context of regional unemployment: a Europe‑wide cross‑sectional study, “Journal of Epidemiology and Community Health”, 75 (6), http://doi.org/10.1136/jech-2020-214888
Google Scholar DOI: https://doi.org/10.1136/jech-2020-214888

Ropponen, A., Wang, M., Narusyte, J., Kärkkäinen, S., Blom, V., Svedberg, P. (2021), The role of sickness absence diagnosis for the risk of future inpatient‑ or specialized outpatient care in a Swedish population‑based twin sample, “BMC Public Health”, 21 (1), 957, https://doi.org/10.1186/s12889-021-10942-2
Google Scholar DOI: https://doi.org/10.1186/s12889-021-10942-2

Scheil‑Adlung, X., Sandner, L. (2010), The Case for Paid Sick Leave: World Health Report, “Background Paper”, No. 9, World Health Organization, 30, https://www.who.int/publications/m/item/the‑case‑for‑paid‑sick‑leave (accessed: 12.09.2022).
Google Scholar

Scoppa, V., Vuri, D. (2014), Absenteeism, unemployment and employment protection legislation: evidence from Italy, “IZA Journal of Labor Economics”, 3, https://doi.org/10.1186/2193-8997-3-3
Google Scholar DOI: https://doi.org/10.1186/2193-8997-3-3

Sumanen, H., Pietiläinen, O., Lahelma, E., Rahkonen, O. (2017), Short sickness absence and subsequent sickness absence due to mental disorders – a follow‑up study among municipal employees, “BMC Public Health”, 17 (1), 15, https://doi.org/10.1186/s12889-016-3951-7
Google Scholar DOI: https://doi.org/10.1186/s12889-016-3951-7

The Ministry of Familiy, Labour and Social Policy (1998), Act Of 13 October 1998 On The Social Insurance System, https://www.ilo.org/dyn/natlex/natlex4.detail?p_lang=en&p_isn=52428 (accessed: 25.09.2023)
Google Scholar

Vahtera, J., Pentti, J., Kivimäki, M. (2004), Sickness absence as a predictor of mortality among male and female employees, “Journal of Epidemiology and Community Health”, 58, https://doi.org/10.1136/jech.2003.011817
Google Scholar DOI: https://doi.org/10.1136/jech.2003.011817

Weik, M.H. (2000), Time Stamp. In: Computer Science and Communications Dictionary, Springer, Boston, https://doi.org/10.1007/1-4020-0613-6_19677
Google Scholar DOI: https://doi.org/10.1007/1-4020-0613-6_19677

Whitaker, S.C. (2001), The management of sickness absence, “Occupational and Environmental Medicine”, 58 (6), https://doi.org/10.1136/oem.58.6.420
Google Scholar DOI: https://doi.org/10.1136/oem.58.6.420

World Bank (2022), How are aggregate growth rates computed for National Accounts series?, https://datahelpdesk.worldbank.org/knowledgebase/articles/114952‑how‑are‑aggregate‑growth‑rates‑computed‑for‑nation (accessed: 12.09.2022).
Google Scholar

World Health Organization (2022), European Health for All database (HFA‑DB), https://gateway.euro.who.int/en/datasets/european‑health‑for‑all‑database/ (accessed: 19.09.2022).
Google Scholar

Opublikowane

2023-12-27

Jak cytować

Antczak, E., & Miszczyńska, K. M. (2023). Pomiar i ocena absencji chorobowej pracujących: badanie przekrojowe w krajach Europy. Comparative Economic Research. Central and Eastern Europe, 26(4), 187–211. https://doi.org/10.18778/1508-2008.26.37

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