Cited by 120Diabetes Management and EducationChronic Disease Management StrategiesPrimary Care and Health Outcomes

3-Year Follow-up of Clinical and Behavioral Improvements Following a Multifaceted Diabetes Care Intervention

Piatt, Gretchen A., Anderson, Robert M., Brooks, Maria M., Songer, Thomas, Siminerio, Linda M., Korytkowski, Mary M., Zgibor, Janice C.·2010·The Diabetes Educator

Abstract

PURPOSE: The purpose of this study was to determine if improvements observed in clinical, behavioral, and psychosocial outcomes measured at 12 months following a multifaceted diabetes care intervention were sustained at 3-year follow-up. METHODS: This study was a multilevel, nonblinded, cluster design, randomized controlled trial that took place in an underserved suburb of Pittsburgh, Pennsylvania, between 1999 and 2005. Eleven primary care practices, and their patients, were randomly assigned to 3 groups: chronic care model (CCM) intervention (n = 30), provider education only (PROV) (n = 38), and usual care (UC) (n = 51). Subjects were followed for 3 years. RESULTS: Improvements observed at 12-month follow-up in glycemic (-0.5%) and blood pressure control (-4.8 mm Hg), and the proportion of participants who self-monitor their blood glucose (86.7%-100%), were sustained at 3-year follow-up in the CCM group. Additional improvements occurred in non-HDLc levels in all study groups and quality of well-being scores in the CCM intervention group. All associations remained after controlling for medication treatment intensification. CONCLUSIONS: We have demonstrated that improvements in outcomes can be sustained over time following a multifaceted diabetes care intervention. Future research in this area is necessary to understand if improvements in outcomes can be sustained following diabetes self-management education (DSME) and what type of patient fares the best from multifaceted diabetes care interventions.

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Crossref · 10.1177/0145721710361388

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  • Diabetes self-management education and support interventions that included ongoing support were associated with better outcomes.

    “Better outcomes were reported for DSMES interventions that were more than 10 h over the course of 6-12 months (20), included ongoing support (14,32), were culturally (33)(34)(35) and age appropriate (36,37), were tailored to individual needs and preferences, addressed psychosocial issues, and incorporated behavioral strategies (15,26,38,39).”

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Authors
Piatt, G. A., Anderson, R. M., Brooks, M. M., Songer, T., Siminerio, L. M., Korytkowski, M. M., & Zgibor, J. C.
Affiliations
  • University of Pittsburgh (US)
  • University of Michigan (US)
Venue
The Diabetes Educator
Published
2010-03
Volume
36
Issue
2
Pages
301-309
ISSN
  • 0145-7217 (ISSN-L)
  • 1554-6063
OpenAlex
W2164127864
Cited by
120
References
17
Citations by year
2026: 1 · 2025: 1 · 2024: 5 · 2023: 8 · 2022: 8 · 2021: 10 · 2020: 5 · 2019: 7 · 2018: 9 · 2017: 9 · 2016: 7 · 2015: 13 · 2014: 11 · 2013: 8 · 2012: 7
FWCI
6.27
Type
journal article
Language
en
Open access
closed
Locations
  • The Science of Diabetes Self-Management and Care (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (NIH 5P60-DK020572)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
  • Health Sciences › Health Professions › General Health Professions › Primary Care and Health Outcomes
Keywords
Chronic Care Model, diabetes self-management education, glycemic control, blood pressure control, self-monitoring of blood glucose, non-HDL cholesterol, quality of well-being, provider education, primary care, underserved populations
MeSH terms
Aged, Blood Pressure, Diabetes Mellitus, Female, Follow-Up Studies, Glycated Hemoglobin, Humans, Interviews as Topic, Life Style, Male, Medically Underserved Area, Middle Aged, Patient Education as Topic, Pennsylvania, Self Care, Smoking, Time Factors, Blood Glucose Self-Monitoring, Cluster Analysis

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