In an effort to reduce hospital 30-day readmissions a Transitional Care Coach Program (TCCP) was developed in 2014 at a Southwest Urban Medical Center. The CDC Framework for Program Evaluation (2012) applies insight and experience gained from past program experience to effect change in practice and improve patient outcomes. The evaluation seeks to determine TCCP utilization, to assess its impact on 30-day readmission rates for high-risk patients, to inform stakeholders of a viable follow-up program, and to determine evidence-based interventions for program improvement. This TCCP program evaluation describes characteristics of patients who participated in the program, assesses whether interventions were delivered as intended, and determines if interventions reduced hospital 30-day readmission rates compared to readmission rates prior to program implementation. Descriptive statistics are used to describe the patient population, health status, and program utilization. For the diagnoses of acute myocardial infarction (AMI), chronic obstructive pulmonary disease (COPD), heart failure (HF), and pneumonia (PNA), Chi-square test analyses were performed to compare 30-day readmission rates of the TCCP participants and readmission rates for this medical center for the time period prior to program implementation. The primary finding of this program evaluation is an overall numerical decrease in hospital readmission rate by 3% compared to the baseline data. Although the change (a decrease) was in the desired direction, the degree of change was not statistically significant based on pooled data. A statistically significant decrease was observed only for the AMI diagnosis. However, as any decrease in readmissions decreases the financial burden to both the organization and the patient, the TCCP appears to have had a positive impact. It is recommended that a renewed TCCP be conducted to allow for (1) an increased timespan for data collection, (2) an increased number of medical categories assessed to allow for more non-parametric statistical analysis (e.g. adding categories of Total Joint Replacement and Sepsis diagnoses), (3) tracking of number of days to readmittance to allow for improvement to be measured and analyzed beyond a single dichotomous category. Evidence-based recommendations have been made to continue and improve interventions that further reduce hospital readmissions.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/625569 |
| Date | January 2017 |
| Creators | Hocutt, Peggy Lynn, Hocutt, Peggy Lynn |
| Contributors | Pacheco, Christy L., Pacheco, Christy L., Carlisle, Heather L., Anderson, Chrys |
| Publisher | The University of Arizona. |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Electronic Dissertation |
| Rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. |
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