Related Experiment Video
Updated: Jun 22, 2026

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Effects of a Person-Centered eHealth Intervention for Patients on Sick Leave Due to Common Mental Disorders (PROMISE
Matilda Cederberg1,2, Sara Alsén1,2, Lilas Ali1,2,3
1Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Background:
Sick leave due to common mental disorders (CMDs) is a public health problem in several countries, including Sweden. Given that symptom relief does not necessarily correspond to return to work, health care interventions focusing on factors that have proven important to influence the return to work process, such as self-efficacy, are warranted. Self-efficacy is also a central concept in person-centered care.
Objective:
The aim of this study is to evaluate the effects of a person-centered eHealth intervention for patients on sick leave due to CMDs.
Methods:
A randomized controlled trial of 209 patients allocated to either a control group (107/209, 51.2%) or an intervention group (102/209, 48.8%) was conducted. The control group received usual care, whereas the intervention group received usual care with the addition of a person-centered eHealth intervention. The intervention was built on person-centered care principles and consisted of telephone support and a web-based platform. The primary outcome was a composite score of changes in general self-efficacy (GSE) and level of sick leave at the 6-month follow-up. An intention-to-treat analysis included all participants, and a per-protocol analysis consisted of those using both the telephone support and the web-based platform.
Results:
At the 3-month follow-up, in the intention-to-treat analysis, more patients in the intervention group improved on the composite score than those in the control group (20/102, 19.6%, vs 10/107, 9.3%; odds ratio [OR] 2.37, 95% CI 1.05-5.34; P=.04). At the 6-month follow-up, the difference was no longer significant between the groups (31/100, 31%, vs 25/107, 23.4%; OR 1.47, 95% CI 0.80-2.73; P=.22). In the per-protocol analysis, a significant difference was observed between the intervention and control groups at the 3-month follow-up (18/85, 21.2%, vs 10/107, 9.3%; OR 2.6, 95% CI 1.13-6.00; P=.02) but not at 6 months (30/84, 35.7%, vs 25/107, 23.4%; OR 1.8, 95% CI 0.97-3.43; P=.06). Changes in GSE drove the effects in the composite score, but the intervention did not affect the level of sick leave.
Conclusions:
A person-centered eHealth intervention for patients on sick leave due to CMDs improved GSE but did not affect the level of sick leave.
Trial Registration:
ClinicalTrials.gov NCT03404583; https://clinicaltrials.gov/ct2/show/NCT03404583.
More Related Videos
Related Concept Videos
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results from...
Patient-centered Care
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...

