Diana Guertler1,2, Anne Moehring1,2, Kristian Krause1, Sandra Eck3, Anil Batra3, Jean-François Chenot4, Jennis Freyer-Adam2,5, Sabina Ulbricht1,2, Hans-Jürgen Rumpf6, Gallus Bischof6, Ulrich John1,2, Christian Meyer1,2. 1. Institute of Social Medicine and Prevention, University Medicine Greifswald, Greifswald, Germany. 2. DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany. 3. Department of Psychiatry and Psychotherapy, University Hospital of Tübingen, Tübingen, Germany. 4. Institute for Community Medicine, Section Family Medicine, University Medicine Greifswald, Greifswald, Germany. 5. Institute for Medical Psychology, University Medicine Greifswald, Greifswald, Germany. 6. Department of Psychiatry and Psychotherapy, Research Group S:TEP, University of Lübeck, Lübeck, Germany.
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.
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.
Authors: Lawrence J Fine; G Stephane Philogene; Robert Gramling; Elliot J Coups; Sarbajit Sinha Journal: Am J Prev Med Date: 2004-08 Impact factor: 5.043
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Authors: Jennis Freyer-Adam; Florian Noetzel; Sophie Baumann; Ali Alexander Aghdassi; Ulrike Siewert-Markus; Beate Gaertner; Ulrich John Journal: BMC Public Health Date: 2019-11-29 Impact factor: 3.295