dc.contributor.author | Vieth, Heather | |
dc.date.issued | 2021 | |
dc.description | Paper approved April 18, 2021 by the faculty of UMKC in partial fulfillment of the Doctor of Nursing Practice | |
dc.description.abstract | Depression is a prevalent problem globally and affects mental, emotional, and physical health.
Multiple studies have shown that unrecognized or untreated depression strongly correlates with
chronic illnesses. Understanding this phenomenon is crucial for appropriate and effective
screening and treatment for depressive disorder and the physical illness. Screening guidelines
must be put in place to improve the recognition of depression in primary care. This study
implemented an evidence-based screening and treatment program for adults with comorbid
depression and chronic illness, and then evaluated the program’s effectiveness. Unique
challenges were presented during this study, as the clinic closed before the initially planned end
of the study, cutting the study short by two months. There was also the challenge of assessing
depression during a pandemic, when quarantine measures were in place, causing many people to
be isolated. Many appointments were also conducted via telehealth, making an adequate
evaluation of depression difficult. There was an improvement in PHQ-9 scores, with a pre-intervention PHQ-9 mean score of 5.82 and a post-intervention PHQ-9 score of 4.64. Improving
depression treatment will help increase control of chronic illnesses and improve quality of life. | eng |
dc.identifier.uri | https://hdl.handle.net/10355/83423 | |
dc.publisher | University of Missouri -- Kansas City | eng |
dc.rights | Open Access (fully available) | |
dc.rights.holder | Copyright retained by author | |
dc.title | Implementing an Evidence-Based Depression Treatment Program for Adults with Comorbid Depression and Chronic Illness | eng |
dc.type | Paper | eng |
thesis.degree.discipline | Nursing (UMKC) | |
thesis.degree.grantor | University of Missouri--Kansas City | |
thesis.degree.level | Doctoral | |
thesis.degree.name | D.N.P. | |