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Ineffective transitional care programs for ensuring the continuation of care from acute settings to the home settings post discharge can result in rehospitalization of elderly patients with chronic diseases. Usually, transitional care should be time-sensitive, patient-centered services intended to ensure continuity of care and an efficient transition between health care

Ineffective transitional care programs for ensuring the continuation of care from acute settings to the home settings post discharge can result in rehospitalization of elderly patients with chronic diseases. Usually, transitional care should be time-sensitive, patient-centered services intended to ensure continuity of care and an efficient transition between health care settings or home. A patient centered transitional care program was implemented at an outpatient primary care facility to reduce readmission rates. Institutional Review Board approval was obtained.

Twenty adult patients with chronic diseases discharged from an acute setting were identified. A follow up phone call and/or a home visit within 24-72 hours post discharge was employed. The Care Transitions Measure (CTM®) and Medication Discrepancy Tool (MDT®) were utilized to identify quality of care of transition and medication discrepancies. A chart audit collected data on the age of participant, diagnosis for initial hospitalization, CTM score, home visit, and ED visits or re-hospitalizations after 30 days of discharge. The outcome indicated that transitional care within primary care utilizing evidence-based practices is beneficial in reducing readmission rates. A logistic regression showed model significance, p = .002, suggesting that the CTM score was effective for both telephone support (TS) and home visit (HV).

A correlation analysis showed that as age of participants increased, the CTM score decreased, indicating that older adults required more support. A significance p <.001, of a proportional test indicated that readmission rates after the intervention was lower. It is evident that providing a timely and effective transitional care intervention in a primary care setting can reduce hospital readmissions, improve symptom management and quality of life of adult patients with chronic diseases.

ContributorsAnnor, Wilhelmina Sagoe (Author) / Baker, Laurie (Thesis advisor)
Created2020-05-05
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Description
Loneliness and depression in older adults are under-recognized public health concerns that increase risks for all-cause mortality, medical morbidity, and rising healthcare costs. This quality improvement project assessed whether smartphone Mindfulness software mitigated self-reported feelings of loneliness and depression among community-dwelling older adults. Nine participants aged 65 and older, living

Loneliness and depression in older adults are under-recognized public health concerns that increase risks for all-cause mortality, medical morbidity, and rising healthcare costs. This quality improvement project assessed whether smartphone Mindfulness software mitigated self-reported feelings of loneliness and depression among community-dwelling older adults. Nine participants aged 65 and older, living at home, experiencing loneliness or depression, and owning a smartphone were recruited using newsletters and fliers. A short demographics questionnaire and two valid and reliable instruments, namely the University of California Los Angeles Loneliness Scale (UCLA V3) and Geriatric Depression Scale (GDS), were used in pre-intervention and four weeks post-intervention. Participants downloaded the UCLA Mindful app on their smartphones after attending a 20-minute Mindfulness education at a local church banquet room. Participants used the UCLA Mindful software twice weekly for ten minutes for four weeks. Of the nine participants, three completed the study. A two-tailed paired sample t-test and descriptive analysis were used to evaluate the efficacy of the UCLA Mindful smartphone software. The results of the two-tailed paired sample t-test were not statistically significant for the UCLA V3 Loneliness scale (p=.220) and GDS (p=.208) due to the small sample size. Although the results were negligible, participants nevertheless reported favorable impacts. Future research with a larger sample size is encouraged.
ContributorsMurdock, J. Kristine (Author) / Guthery, Ann (Thesis advisor) / College of Nursing and Health Innovation (Contributor)
Created2023-04-26