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Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Published on: September 30, 2020

Rehabilitation time before disability pension.

Morten Støver¹, Kristine Pape, Roar Johnsen

¹Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, MTFS, 7491, Trondheim, Norway. Morten.Stover@ntnu.no

BMC Health Services Research

|November 1, 2012

Summary

This summary is machine-generated.

Younger individuals and those facing unemployment have longer rehabilitation periods before receiving a disability pension. Municipalities show minimal variance in rehabilitation time, suggesting systemic factors influence these extended durations.

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Area of Science:

Social Sciences
Public Health
Rehabilitation Medicine

Background:

Disability pension decisions follow extensive medical evaluations and rehabilitation efforts.
Understanding factors influencing rehabilitation duration is crucial for policy and support.

Purpose of the Study:

To investigate associations between individual characteristics and local office factors with rehabilitation time prior to disability pension.
To quantify municipality variance in rehabilitation duration.

Main Methods:

Multilevel regression analysis of rehabilitation time (log-transformed).
Study cohort: 2,533 individuals aged 40-42 receiving disability pensions over 18 years.

Main Results:

Rehabilitation time varied significantly (30-5,508 days).
Younger age and unemployment periods correlated with longer rehabilitation.
Baseline health, sex, and education showed moderate to minor associations.
Municipality of residence accounted for only ~2% of variance in rehabilitation time.

Conclusions:

Younger individuals and those anticipating unemployment face higher thresholds for disability pensions, necessitating longer rehabilitation.
Extended rehabilitation for psychiatric disorders may indicate gaps in understanding work capacity and tailored programs.