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dc.contributor.advisorBhattacharjee, Sandipan
dc.contributor.authorSun, Chongwoo
dc.contributor.authorGobin, Philippe
dc.date.accessioned2020-05-26T22:57:18Z
dc.date.available2020-05-26T22:57:18Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10150/641452
dc.descriptionClass of 2019 Abstract, and Posteren_US
dc.description.abstractSpecific Aims: Dementia, or neurocognitive disorder (NCD), is the deterioration of performance in mental function, and is a disease state only expected to become more prevalent in the coming decades. Depression is twice as likely to develop in this population and is also shown to increase the rate of decline in those with NCD. This study was designed to determine patterns and predictors of depression treatment in elderly dementia patients in the ambulatory care setting in the United States using the Anderson Behavioral Model (ABM) Methods: We conducted retrospective cross-sectional study design by using multiple years (2005–2015) of data from the National Ambulatory Medical Care Survey (NAMCS), an ongoing yearly survey administered by the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC). The NAMCS uses a multistage probability design to obtain systematic random weekly samples of patients from physicians across the nation using a Patient Record Form capable of recording up to three diagnoses codes and eight prescription medications for each visit. A weighted frequency for national prevalence values was generated from our data analysis. A multivariate regression analysis was completed to determine which predisposing, enabling, and need factors were significant determinants to the nature of antidepressant treatment. Main Results: A total of 655 (un-weighted) ambulatory visits by older adults with dementia and depression were recorded by National Ambulatory Medical Care Survey, or a national estimate of 14.46 million elderly patients visits with both NCD and depression. Predisposing factors such as race, age, sex, geographic region, and metro/non-metro; enabling factors such as insurance and physician specialty; and need factors such as new prescription drug, new patient, or reason for visit, or chronic disease states, were recorded. Multivariate analysis revealed gender, physician specialty, metro/non-metro, geographical region, and number of medications were significant determinants in how an elder NCD patient in the ambulatory setting receives treatment for depression. Conclusions: 62.89% of patients were treated for depression, with 61.45% of all patients receiving an antidepressant and 4.94% of patients receiving psychotherapy. Psychotherapy was utilized infrequently in this population, and SSRIs were the most common form of pharmacotherapy. This suggests this patient population is vulnerable to untreated depression and reveals a need for long-term studies investigating health outcomes in these patients.en_US
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectDementiaen_US
dc.subjectDepressionen_US
dc.subjectAmbulatory Careen_US
dc.subjectNeurocognitive Disordersen_US
dc.subjectAnderson Behavioral Modelen_US
dc.subjectCross-sectional studyen_US
dc.subject.meshDementiaen_US
dc.subject.meshDepressionen_US
dc.subject.meshAmbulatory Careen_US
dc.subject.meshNeurocognitive Disordersen_US
dc.subject.meshAgeden_US
dc.titlePatterns and Predictors of Depression Treatment among Older Adults with Dementia and Depression in Ambulatory Care Settings in the United Statesen_US
dc.typetexten_US
dc.contributor.departmentCollege of Pharmacy, The University of Arizonaen_US
dc.description.collectioninformationThis item is part of the Pharmacy Student Research Projects collection, made available by the College of Pharmacy and the University Libraries at the University of Arizona. For more information about items in this collection, please contact Jennifer Martin, Librarian and Clinical Instructor, Pharmacy Practice and Science, jenmartin@email.arizona.edu.en_US
refterms.dateFOA2020-05-26T22:57:20Z


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