NDLI: Updating and prospective validation of a prognostic model for high sickness absence

Content Provider	Springer Nature Link
Author	Roelen, C. A. M. Heymans, M. W. Twisk, J. W. R. Rhenen, W. Pallesen, S. Bjorvatn, B. Moen, B. E. Magerøy, N.
Copyright Year	2014
Abstract	To further develop and validate a Dutch prognostic model for high sickness absence (SA).Three-wave longitudinal cohort study of 2,059 Norwegian nurses. The Dutch prognostic model was used to predict high SA among Norwegian nurses at wave 2. Subsequently, the model was updated by adding person-related (age, gender, marital status, children at home, and coping strategies), health-related (BMI, physical activity, smoking, and caffeine and alcohol intake), and work-related (job satisfaction, job demands, decision latitude, social support at work, and both work-to-family and family-to-work spillover) variables. The updated model was then prospectively validated for predictions at wave 3.1,557 (77 %) nurses had complete data at wave 2 and 1,342 (65 %) at wave 3. The risk of high SA was under-estimated by the Dutch model, but discrimination between high-risk and low-risk nurses was fair after re-calibration to the Norwegian data. Gender, marital status, BMI, physical activity, smoking, alcohol intake, job satisfaction, job demands, decision latitude, support at the workplace, and work-to-family spillover were identified as potential predictors of high SA. However, these predictors did not improve the model’s discriminative ability, which remained fair at wave 3.The prognostic model correctly identifies 73 % of Norwegian nurses at risk of high SA, although additional predictors are needed before the model can be used to screen working populations for risk of high SA.
Starting Page	113
Ending Page	122
Page Count	10
File Format	PDF
ISSN	03400131
Journal	International Archives of Occupational and Environmental Health
Volume Number	88
Issue Number	1
e-ISSN	14321246
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-03-25
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Absenteeism External validation Healthcare Integrated discrimination improvement Prediction model Temporal validation Environmental Health Rehabilitation Occupational Medicine/Industrial Medicine
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Long-term sickness absence in a working population: development and validation of a risk prediction model in a large Dutch prospective cohort

Emotional dissonance and sickness absence: a prospective study of employees working with clients

Psychological symptoms and subsequent sickness absence

Risk reclassification analysis investigating the added value of fatigue to sickness absence predictions

Psychosocial work conditions and registered sickness absence: a 3-year prospective cohort study among office employees

A prospective cohort study on musculoskeletal risk factors for long-term sickness absence among healthcare workers in eldercare

External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up

Associations of multisite pain with healthcare utilization, sickness absence and restrictions at work

Coping and sickness absence

Updating and prospective validation of a prognostic model for high sickness absence

Similar Documents

Long-term sickness absence in a working population: development and validation of a risk prediction model in a large Dutch prospective cohort

Emotional dissonance and sickness absence: a prospective study of employees working with clients

Psychological symptoms and subsequent sickness absence

Risk reclassification analysis investigating the added value of fatigue to sickness absence predictions

Psychosocial work conditions and registered sickness absence: a 3-year prospective cohort study among office employees

A prospective cohort study on musculoskeletal risk factors for long-term sickness absence among healthcare workers in eldercare

External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up

Associations of multisite pain with healthcare utilization, sickness absence and restrictions at work

Coping and sickness absence

Updating and prospective validation of a prognostic model for high sickness absence