Abstract
Objectives: Real world implementation of proactive screening and brief intervention in health care is threatened by high cost. Using e-health interventions and screening for multiple health risk factors may provide more efficiency. We describe methodological details of a proactive multipurpose health risk screening in health care settings and report on participation rates, participants' characteristics, and participation factors. Methods: Patients between 18 and 64 years from ambulatory practices and hospitals were proactively approached by study assistants at three sites for a computerized screening on harmful alcohol and tobacco consumption, depressive symptoms, insufficient fruit/vegetable consumption, physical inactivity and overweight. On the basis of their health risk pattern, a computerized algorithm allocated patients to one of five studies each of them addressing a psychiatric research question. Results: Among all eligible patients, 13,763 (86.5%) were screened. Younger age and being female predicted screening participation. Of those with complete data (n = 12,828), 82.9% reported at least two health risks and 34.0% were eligible for a study. Study participation ranged between 35.2% and 50.8%, and was associated with socio-demographics and problem severity. Conclusions: This study supports the use of systematic proactive screening for multiple health risks in health care settings as it is more resource-saving than single focused screening.
| Original language | English |
|---|---|
| Article number | e1760 |
| Journal | International Journal of Methods in Psychiatric Research |
| Volume | 28 |
| Issue number | 1 |
| ISSN | 1049-8931 |
| DOIs | |
| Publication status | Published - 03.2019 |
Funding
This study is embedded in the research consortium AERIAL (Addiction: Early Recognition and Intervention Across the Lifespan) of the Bundesministerium f?r Bildung und Forschung (German Federal Ministry of Education and Research, BMBF) within the Research Network on Mental Disorders (Forschungsnetz zu psychischen Erkrankungen), Grant No. 01EE1406F; 01EE1406E; 01EE1406H.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
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