TY - JOUR

T1 - The distribution of diagnoses in a population of individuals on long-term sick leave

AU - Kæmpe, Katrine R

AU - Mortensen, Ole S

N1 - Articles published in the DMJ are “open access”. This means that the articles are distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits any non-commercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

PY - 2021

Y1 - 2021

N2 - INTRODUCTION: The aim of this study was to investigate the distribution of International Classification of Primary Care, second edition, (ICPC-2) diagnoses in a population of individuals on long-term sick leave. Furthermore, we wanted to test if the number of diagnoses varied between assessors.METHODS: The study population was comprised of people on sick leave aged 18-65 years attending rehabilitation appointments in Region Zealand in the period from 1 March to 31 August 2018. Five general practitioners assigned between one and three ICPC-2 diagnoses per subject. It was investigated whether there was independence between the doctors collecting the data.RESULTS: A total of 29 diagnostic categories were established, and the three most common conditions were back pain (9.8%), musculoskeletal disorders (8.6%) and depression (7.5%). During the data collection period, a primary ICPC-2 diagnosis was made in 743 subjects, a secondary diagnosis in 371 subjects (49.9%) and a tertiary diagnosis in 101 subjects (13.6%). No significant differences were found between the number of ICPC-2 diagnoses made by the five doctors (p = 0.49).CONCLUSIONS: The most common diagnoses were back conditions, musculoskeletal disorders and depression, and half of the study population had at least two diagnoses. The study shows that health professionals can assign ICPC-2 diagnoses for individuals on sick leave during rehabilitation sessions. This will give the municipalities the necessary knowledge to systematically track the development of diagnoses in order to plan individualised interventions.FUNDING: none.TRIAL REGISTRATION: not relevant.

AB - INTRODUCTION: The aim of this study was to investigate the distribution of International Classification of Primary Care, second edition, (ICPC-2) diagnoses in a population of individuals on long-term sick leave. Furthermore, we wanted to test if the number of diagnoses varied between assessors.METHODS: The study population was comprised of people on sick leave aged 18-65 years attending rehabilitation appointments in Region Zealand in the period from 1 March to 31 August 2018. Five general practitioners assigned between one and three ICPC-2 diagnoses per subject. It was investigated whether there was independence between the doctors collecting the data.RESULTS: A total of 29 diagnostic categories were established, and the three most common conditions were back pain (9.8%), musculoskeletal disorders (8.6%) and depression (7.5%). During the data collection period, a primary ICPC-2 diagnosis was made in 743 subjects, a secondary diagnosis in 371 subjects (49.9%) and a tertiary diagnosis in 101 subjects (13.6%). No significant differences were found between the number of ICPC-2 diagnoses made by the five doctors (p = 0.49).CONCLUSIONS: The most common diagnoses were back conditions, musculoskeletal disorders and depression, and half of the study population had at least two diagnoses. The study shows that health professionals can assign ICPC-2 diagnoses for individuals on sick leave during rehabilitation sessions. This will give the municipalities the necessary knowledge to systematically track the development of diagnoses in order to plan individualised interventions.FUNDING: none.TRIAL REGISTRATION: not relevant.

KW - Back Pain

KW - Humans

KW - Return to Work

KW - Sick Leave

KW - Time Factors

UR - https://ugeskriftet.dk/dmj/distribution-diagnoses-population-individuals-long-term-sick-leave

M3 - Journal article

C2 - 33543700

VL - 68

JO - Danish Medical Journal

JF - Danish Medical Journal

SN - 2245-1919

IS - 2

ER -