Evidence map›Paper›PMID 28289676›Full record

ArticleFrontiers in public health2017

Disability, Work Absenteeism, Sickness Benefits, and Cancer in Selected European OECD Countries-Forecasts to 2020.

Mihajlo Jakovljevic, Christina Malmose-Stapelfeldt, Olivera Milovanovic, Nemanja Rancic, Dubravko Bokonjic

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Causes of Sickness Absenteeism in Europe-Analysis from an Intercountry and Gender Perspective.International journal of environmental research and public health · 2021
    Article
  7. Occupation and Sickness Absence in the Different Autonomous Communities of Spain.International journal of environmental research and public health · 2021
    Article
  8. Observational
  9. Assessment of Cancer Care Costs in Disease-Specific Cancer Care Pathways.International journal of environmental research and public health · 2020
    Article
  10. Oncological Diseases and Social Costs Considerations on Undertaken Health Policy Interventions.International journal of environmental research and public health · 2020
    Article
  11. Review
  12. Article
  13. Article
  14. Article
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

5 authors at 3 institutions in 2 countries.

Mihajlo JakovljevicHealth Economics and Pharmacoeconomics, Faculty of Medical Sciences, University of Kragujevac , Kragujevac , Serbia.
Christina Malmose-StapelfeldtDepartment of Public Health, The University of Aarhus , Aarhus , Denmark.
Olivera MilovanovicFaculty of Medical Sciences, Department of Pharmacy, University of Kragujevac , Kragujevac , Serbia.
Nemanja RancicFaculty of Medicine of the Military Medical Academy, University of Defence , Belgrade , Serbia.
Dubravko BokonjicFaculty of Medicine of the Military Medical Academy, University of Defence , Belgrade , Serbia.
University of Defence · RSUniversity of Kragujevac · RSAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisability either due to illness, aging, or both causes remains an essential contributor shaping European labor markets. Ability of modern day welfare states to compensate an impaired work ability and absenteeism arising from incapacity is very diverse. The aims of this study were to establish and explain intercountry differences among selected European OECD countries and to provide forecasts of future work absenteeism and expenditures on wage replacement benefits.

methodsTwo major public registries, European health for all database and Organization for Economic Co-operation and Development database (OECD Health Data), were coupled to form a joint database on 12 core indicators. These were related to disability, work absenteeism, and sickness benefits in European OECD countries. Time horizon 1989-2013 was observed. Forecasting analysis was done on mean values of all data for each single variable for all observed countries in a single year. Trends were predicted on a selected time horizon based on the mean value, in our case, 7 years up to 2020. For this purpose, ARIMA prediction model was applied, and its significance was assessed using Ljung-Box Q test.

resultsOur forecasts based on ARIMA modeling of available data indicate that up to 2020, most European countries will experience downfall of absenteeism from work due to illness. The number of citizens receiving social/disability benefits and the number being compensated due to health-related absence from work will decline. As opposed to these trends, cancer morbidity may become the top ranked disability driver as hospital discharge diagnoses. Concerning development is the anticipated bold growth of hospital discharge frequencies due to cancer across the region. This effectively means that part of these savings on social support expenditure shall effectively be spent to combat strong cancer morbidity as the major driver of disability.

conclusionWe have clearly growing work load for the national health systems attributable to the clinical oncology acting as the major disability contributor. This effectively means that large share of these savings on public expenditure shall effectively be spent to combat strong cancer morbidity. On another side, we have all signs of falling societal responsibility toward the citizens suffering from diverse kinds of incapacity or impaired working ability and independence. Citizens suffering from any of these causes are likely to experience progressively less social support and publicly funded care and work support compared to the golden welfare era of previous decades.

Indexed as

absenteeismcancerdisabilityEuropeOECDsickness benefitwork

Identifiers

PMID28289676
PMCPMC5327442
OpenAlexW2594847909

What Socratic 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 Socratic graph.