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Research Article

Prevention of sickness absence through early identification and rehabilitation of at-risk patients with musculoskeletal disorders (PREVSAM): short term effects of a randomised controlled trial in primary care

ORCID Icon, ORCID Icon, ORCID Icon, , , ORCID Icon & ORCID Icon show all
Received 02 Nov 2023, Accepted 11 Apr 2024, Published online: 13 May 2024

Figures & data

Table 1. The PREVSAM model’s components and differences towards treatment as usual within primary care rehabilitation.

Figure 1. Flow chart of participants’ enrolment and allocation.

A flow chart showing the process from enrolment to final cases in the analyses.
Figure 1. Flow chart of participants’ enrolment and allocation.

Table 2. Baseline demographics regarding sex, place of birth, marital status/living situation, and age.

Table 3. Baseline demographics regarding education level, occupation, and income.

Table 4. ICD-10 diagnoses reported by the team members in the PREVSAM group and in TAU.

Table 5. Comparison of proportions of patients remaining in full- and part time work (no registered sickness benefit days) between the PREVSAM group and TAU.

Table 6. Comparisons of registered sickness benefit days between the PREVSAM group and TAU.

Table 7. Comparison of proportion of patients with self-reported sickness absence between the PREVSAM group and TAU.

Table 8. Comparison of self-reported sickness absence days between the PREVSAM group and TAU.

Figure 2. Mean self-reported sick days per week for the PREVSAM and TAU groups.

Shows two lines representing PREVSAM respectively TAU regarding weekly mean of self-reported sick days per week.
Figure 2. Mean self-reported sick days per week for the PREVSAM and TAU groups.

Table 9. Differences in patient-reported health outcomes within and between groups.

Data availability statement

The data are available on reasonable request.