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Applying the Chronic Care Model to I...
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Guzman, Martha.
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Applying the Chronic Care Model to Improve Prediabetes Screening.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Applying the Chronic Care Model to Improve Prediabetes Screening./
Author:
Guzman, Martha.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:
65 p.
Notes:
Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
Contained By:
Dissertations Abstracts International86-01B.
Subject:
Public health. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31483064
ISBN:
9798383559604
Applying the Chronic Care Model to Improve Prediabetes Screening.
Guzman, Martha.
Applying the Chronic Care Model to Improve Prediabetes Screening.
- Ann Arbor : ProQuest Dissertations & Theses, 2024 - 65 p.
Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
Thesis (D.N.P.)--California State University, Fresno, 2024.
There is growing evidence that prediabetes is more than just a precursor to type 2 diabetes mellitus (T2DM). It is a silent but serious medical condition that is linked with long-term damage to various tissues and organs. Since prediabetes often has no symptoms, patients and medical providers frequently underestimate its potential harmful effects. Unfortunately, the utilization of evidence-based practice (EBP) screening guidelines for prediabetes remains low. Through a quasi-experimental, mixed-method, quality improvement (QI) approach, this study evaluated the effects of the multicomponent chronic care model (CCM) interventions on provider prediabetes screening outcomes using the Center for Disease Control and Prevention/ American Diabetes Association (CDC/ADA) prediabetes risk test, and the new order set Z13.1. Study outcomes were measured by the frequency of prediabetes screening code Z13.1 documentation in the medical record for non-diabetic adults aged 18 to 75.This project was implemented over 2 months. During this period, the number of patients screened significantly increased. Four hundred and three non-diabetic patients received screening, and 159 were identified as at risk for prediabetes. Of the 159 patients, 136 were screened using the new Z13.1 order set. Out of 136 high-risk patients, 26 (19.1%) were diagnosed with prediabetes, and another 4 (2.9%) were diagnosed with T2DM. Prediabetes screening and detection can lower the risk of future comorbidities and associated complications. 
ISBN: 9798383559604Subjects--Topical Terms:
534748
Public health.
Subjects--Index Terms:
Chronic care model
Applying the Chronic Care Model to Improve Prediabetes Screening.
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There is growing evidence that prediabetes is more than just a precursor to type 2 diabetes mellitus (T2DM). It is a silent but serious medical condition that is linked with long-term damage to various tissues and organs. Since prediabetes often has no symptoms, patients and medical providers frequently underestimate its potential harmful effects. Unfortunately, the utilization of evidence-based practice (EBP) screening guidelines for prediabetes remains low. Through a quasi-experimental, mixed-method, quality improvement (QI) approach, this study evaluated the effects of the multicomponent chronic care model (CCM) interventions on provider prediabetes screening outcomes using the Center for Disease Control and Prevention/ American Diabetes Association (CDC/ADA) prediabetes risk test, and the new order set Z13.1. Study outcomes were measured by the frequency of prediabetes screening code Z13.1 documentation in the medical record for non-diabetic adults aged 18 to 75.This project was implemented over 2 months. During this period, the number of patients screened significantly increased. Four hundred and three non-diabetic patients received screening, and 159 were identified as at risk for prediabetes. Of the 159 patients, 136 were screened using the new Z13.1 order set. Out of 136 high-risk patients, 26 (19.1%) were diagnosed with prediabetes, and another 4 (2.9%) were diagnosed with T2DM. Prediabetes screening and detection can lower the risk of future comorbidities and associated complications. 
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31483064
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