Evidence map›Paper›PMID 29955476›Full record

ArticleThe mental health clinician2016

Factors to assess depression in homebound older adults.

Jennifer E Thomas, Robin J Jacobs, Joshua Caballero, Raymond L Ownby, Elizabeth M Lessmann, Kayla Mallare, Mark Adler

Abstract read
In one paragraph

Article in The mental health clinician, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jennifer E ThomasAssistant Professor, School of Pharmacy, Husson University, Bangor, Maine.
Robin J JacobsAssociate Professor, College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, Florida.
Joshua CaballeroAssociate Professor, College of Pharmacy, Nova Southeastern University, Fort Lauderdale, Florida, jcaballe@nova.edu.
Raymond L OwnbyProfessor, College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, Florida.
Elizabeth M LessmannPharmacy Resident, Baylor St Luke's Medical Center, Houston, Texas.
Kayla MallarePharmacy Student, College of Pharmacy, Nova Southeastern University, Fort Lauderdale, Florida.
Mark AdlerExecutive Director, Broward Meals on Wheels, Plantation, Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe number of homebound older adults is expected to increase as the elderly population grows. Many homebound older persons may be at high risk for depression, which has been associated with adverse health outcomes. The objective of this study was to identify selected factors that may predict depression in the homebound older population.

methodsData from 340 homebound adults, aged 65 and older who were enrolled in Broward Meals on Wheels and who participated in a telephone survey were analyzed. Participants were asked to report demographic information, health status, medication-taking behaviors, mental health, and life satisfaction. Multiple regression analysis was used to identify predictors of depressed mood in this sample of older adults.

resultsThe majority of the sample (aged 65-95 years; mean, 77 years) were female (76.5%), white (77.1%), and living alone (52.6%). Multivariate modeling indicated that difficulty remembering the number of prescribed medications to be taken, feeling DISCUSSION: Multiple factors related to medication use were identified that may contribute to higher levels of depressed mood in homebound older adults. These factors found in our study may be used to create a screening model to be used by pharmacists to identify homebound older adults who would benefit from further assessment for depression.

Indexed as

depressionelderlygeriatricshomeboundolder adults

Identifiers

PMID29955476
PMCPMC6007589

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