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Applying the Chronic Care Model to Improve Prediabetes Screening.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Applying the Chronic Care Model to Improve Prediabetes Screening./
作者:	Guzman, Martha.
面頁冊數:	1 online resource (65 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
Contained By:	Dissertations Abstracts International86-01B.
標題:	Medicine. -
電子資源:	click for full text (PQDT)
ISBN:	9798383559604

Applying the Chronic Care Model to Improve Prediabetes Screening.
Guzman, Martha.

Applying the Chronic Care Model to Improve Prediabetes Screening. - 1 online resource (65 pages)

Source: Dissertations Abstracts International, Volume: 86-01, Section: B.

Thesis (D.N.P.)--California State University, Fresno, 2024.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798383559604Subjects--Topical Terms:

644133
Medicine.
Subjects--Index Terms:

Chronic care modelIndex Terms--Genre/Form:

554714
Electronic books.

Applying the Chronic Care Model to Improve Prediabetes Screening.
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504 $a Includes bibliographical references
520 $a 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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