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Description

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
Skin and soft tissue infections (SSTIs) occur at higher rates within correctional facilities due to the increased risks that are inherent in this population. These infections present at various stages, requiring different treatment modalities and sometimes require complex treatment. Prompt and accurate recognition of SSTIs is crucial in selecting appropriate

Skin and soft tissue infections (SSTIs) occur at higher rates within correctional facilities due to the increased risks that are inherent in this population. These infections present at various stages, requiring different treatment modalities and sometimes require complex treatment. Prompt and accurate recognition of SSTIs is crucial in selecting appropriate treatment to decrease the possibility of treatment failure. Literature shows a correlation between diagnosis delay and increased time and overall cost of care related to delayed diagnosis of SSTIs. These findings support the implementation of an evidence-based project which aims to determine whether the utilization of an algorithm for SSTIs can be amplified through increased accessibility.
ContributorsResendiz-Casas, Adalivia (Author) / Baker, Laurie (Thesis advisor)
Created2019-04-29
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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
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Description
Purpose: To implement a non-pharmacologic approach to reduce anxiety in patients receiving radiation treatment.

Background and Significance: Anxiety is a prevalent health problem affecting up to 30% of the general population. Over 95% of radiation oncology patients report anxiety often related to not knowing what to expect during treatments. The current

Purpose: To implement a non-pharmacologic approach to reduce anxiety in patients receiving radiation treatment.

Background and Significance: Anxiety is a prevalent health problem affecting up to 30% of the general population. Over 95% of radiation oncology patients report anxiety often related to not knowing what to expect during treatments. The current guideline for management of anxiety is the use of benzodiazepines; which can impose a risk to patients. Evidence demonstrates virtual reality videos can be an effective non-pharmacologic approach to reduce anxiety..

Design: Observational cohort evidence based project.

Setting: Outpatient radiation oncology facility in the Southwest United States.

Sample: 40 patients who have not previously undergone radiation therapy, but have been prescribed radiation treatments for malignant or non malignant conditions.

Methods: Patients who had not previously undergone radiation treatments were identified based on chart review and consented for participation in the project. The patient's were assessed for both their general (trait) anxiety and situational (state) anxiety using The State Trait Anxiety inventory (STAI). They were then shown a virtual reality video that walked them through what they would experience during their radiation treatment. The patient's were re-administered the STAI questionnaire following the video to assess any change in anxiety levels.

Variables: Trait and State anxiety scores before and after the virtual reality video intervention.

Findings/Outcomes: A paired t-test was conducted to assess the data. There was a significant difference in the state anxiety scores pre intervention (m = 32.65, SD = 11.47) and post intervention (M = 25.50, SD 8.95), p =< 0.001.

Conclusions: The use of virtual reality videos was an effective non-pharmacological approach to reduce anxiety in patients receiving radiation treatment.

Implications for nursing: The results provide support for the use of a virtual reality intervention as a non-pharmacologic option to reduce anxiety for patients.
ContributorsColao, Deirdre (Author) / Baker, Laurie (Thesis advisor)
Created2017-05-02