<p>The general problem is Native American tribes have high prevalence rates of diabetes. The specific problem is the failure of IHS sites to adopt EHR may cause health care providers to miss critical opportunities to improve screening and triage processes that result in quality improvement. The purpose of the quantitative correlational study was to explore a possible correlation between electronic health record use and reductions in diabetes co-morbidities. The study involved examining over 10 years of ex post facto data, with over one million patient encounters, from the Resource and Patient Management System database. Electronic health records containing key components such as clinical decision support with clinical reminders, evidence-based guidelines, template-driven protocols, and algorithmic modeling changes clinical provider behavior resulting in quality improvement. The study identifies the theoretical constructs from over 50 years of literature that converge to support quality improvement using electronic health records. Quality improvement theory and the unified theory of acceptance and use of technology were examined to explore relationships between process changes and behavioral modification. Results revealed a significant positive correlation between total blood pressure control screenings and the diagnosis of hypertension for fiscal years 2005 – 2009 <i>r</i>(4) = .947, <i>p</i> = .007. A significant positive correlation also existed between blood pressure control screenings with values >130/80 and diagnosis of hypertension for fiscal years 2005 – 2009 <i>r</i>(4) = .909, <i>p</i> = .016. The study concludes with a rejection of the posited null hypotheses, revealing a statistically significant correlation between use of a comprehensive electronic health record and health care quality improvement. </p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3570767 |
| Date | 09 August 2013 |
| Creators | Eller, James D. |
| Publisher | University of Phoenix |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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