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Tailored interventions to implement recommendations for elderly patients with depression in primary care: a study protocol for a pragmatic cluster randomised controlled trial

Overview of attention for article published in Trials, January 2014
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Title
Tailored interventions to implement recommendations for elderly patients with depression in primary care: a study protocol for a pragmatic cluster randomised controlled trial
Published in
Trials, January 2014
DOI 10.1186/1745-6215-15-16
Pubmed ID
Authors

Eivind Aakhus, Ingeborg Granlund, Jan Odgaard-Jensen, Michel Wensing, Andrew D Oxman, Signe A Flottorp

Abstract

The prevalence of depression is high and the elderly have an increased risk of developing chronic course. International data suggest that depression in the elderly is under-recognised, the latency before clinicians provide a treatment plan is longer and elderly patients with depression are not offered psychotherapy to the same degree as younger patients. Although recommendations for the treatment of elderly patients with depression exist, health-care professionals adhere to these recommendations to a limited degree only. We conducted a systematic review to identify recommendations for managing depression in the elderly and prioritised six recommendations. We identified and prioritised the determinants of practice related to the implementation of these recommendations in primary care, and subsequently discussed and prioritised interventions to address the identified determinants. The objective of this study is to evaluate the effectiveness of these tailored interventions for the six recommendations for the management of elderly patients with depression in primary care.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 19%
Student > Master 21 15%
Student > Bachelor 18 13%
Student > Ph. D. Student 17 12%
Student > Doctoral Student 10 7%
Other 21 15%
Unknown 27 19%
Readers by discipline Count As %
Medicine and Dentistry 34 24%
Psychology 31 22%
Nursing and Health Professions 15 11%
Social Sciences 7 5%
Business, Management and Accounting 3 2%
Other 20 14%
Unknown 31 22%