Literature DB >> 32887705

Impact of Quality Improvement (QI) Program on 5-Year Risk of Diabetes-Related Complications: A Simulation Study.

Hui Shao1, Vivian Fonseca2, Roy Furman3, Luigi Meneghini4, Lizheng Shi5.   

Abstract

OBJECTIVE: We successfully implemented the American Diabetes Association's (ADA) Diabetes INSIDE (INspiring System Improvement with Data-Driven Excellence) quality improvement (QI) program at a university hospital and safety-net health system (Tulane and Parkland), focused on system-wide improvement in poorly controlled type 2 diabetes (HbA1c >8.0% [64 mmol/mol]). In this study, we estimated the 5-year risk reduction in complications and mortality associated with the QI program. RESEARCH DESIGN AND METHODS: The QI implementation period was 1 year, followed by the postintervention period of 6 months to evaluate the impact of QI on clinical measures. We measured the differences between the baseline and postintervention clinical outcomes in 2,429 individuals with HbA1c >8% (64 mmol/mol) at baseline and used the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes model to project the 5-year risk reduction of diabetes-related complications under the assumption that intervention benefits persist over time. An alternative assumption that intervention benefits diminish by 30% every year was also tested.
RESULTS: The QI program was associated with reductions in HbA1c (-0.84%) and LDL cholesterol (LDL-C) (-5.94 mg/dL) among individuals with HbA1c level >8.0% (64 mmol/mol), with greater reduction in HbA1c (-1.67%) and LDL-C (-6.81 mg/dL) among those with HbA1c level >9.5% at baseline (all P < 0.05). The implementation of the Diabetes INSIDE QI program was associated with 5-year risk reductions in major adverse cardiovascular events (MACE) (relative risk [RR] 0.78 [95% CI 0.75-0.81]) and all-cause mortality (RR 0.83 [95% CI 0.82-0.85]) among individuals with baseline HbA1c level >8.0% (64 mmol/mol), and MACE (RR 0.60 [95% CI 0.56-0.65]) and all-cause mortality (RR 0.61 [95% CI 0.59-0.64]) among individuals with baseline HbA1c level >9.5% (80 mmol/mol). Sensitivity analysis also identified a substantially lower risk of diabetes-related complications and mortality associated with the QI program.
CONCLUSIONS: Our modeling results suggest that the ADA's Diabetes INSIDE QI program would benefit the patients and population by substantially reducing the 5-year risk of complications and mortality in individuals with diabetes.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 32887705      PMCID: PMC9162144          DOI: 10.2337/dc20-0465

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   17.152


  10 in total

1.  Introduction: Standards of Medical Care in Diabetes-2018.

Authors: 
Journal:  Diabetes Care       Date:  2018-01       Impact factor: 19.112

2.  3-year follow-up of clinical and behavioral improvements following a multifaceted diabetes care intervention: results of a randomized controlled trial.

Authors:  Gretchen A Piatt; Robert M Anderson; Maria M Brooks; Thomas Songer; Linda M Siminerio; Mary M Korytkowski; Janice C Zgibor
Journal:  Diabetes Educ       Date:  2010-03-03       Impact factor: 2.140

3.  Making Inroads in Addressing Population Health in Underserved Communities With Type 2 Diabetes.

Authors:  Luigi F Meneghini; Addie L Fortmann; Taylor L Clark; Kellie Rodriguez
Journal:  Diabetes Spectr       Date:  2019-11

4.  Diabetes INSIDE: Improving Population HbA1c Testing and Targets in Primary Care With a Quality Initiative.

Authors:  Roy E Furman; Timothy S Harlan; Lesley LeBlanc; Elise C Furman; Greg Liptak; Vivian A Fonseca
Journal:  Diabetes Care       Date:  2019-12-03       Impact factor: 19.112

5.  Current level of glycaemic control and its associated factors in patients with type 2 diabetes across Europe: data from the PANORAMA study.

Authors:  Pedro de Pablos-Velasco; Klaus G Parhofer; Clare Bradley; Eveline Eschwège; Linda Gönder-Frederick; Pierre Maheux; Ian Wood; Dominique Simon
Journal:  Clin Endocrinol (Oxf)       Date:  2013-05-06       Impact factor: 3.478

6.  Computer modeling of diabetes and its complications: a report on the Fifth Mount Hood challenge meeting.

Authors:  Andrew J Palmer; Philip Clarke; Alastair Gray; Jose Leal; Adam Lloyd; David Grant; James Palmer; Volker Foos; Mark Lamotte; William Hermann; Jacob Barhak; Michael Willis; Ruth Coleman; Ping Zhang; Phil McEwan; Jonathan Betz Brown; Ulf Gerdtham; Elbert Huang; Andrew Briggs; Katarina Steen Carlsson; William Valentine
Journal:  Value Health       Date:  2013-04-18       Impact factor: 5.725

7.  So what? Now what? Exploring, understanding and using the epistemologies that inform the improvement of healthcare.

Authors:  Paul Batalden; Frank Davidoff; Martin Marshall; Jo Bibby; Colin Pink
Journal:  BMJ Qual Saf       Date:  2011-04       Impact factor: 7.035

8.  Addressing Regional Differences in Diabetes Progression: Global Calibration for Diabetes Simulation Model.

Authors:  Hui Shao; Shuang Yang; Charles Stoecker; Vivian Fonseca; Dongzhe Hong; Lizheng Shi
Journal:  Value Health       Date:  2019-10-11       Impact factor: 5.101

Review 9.  Economic Evaluation of Quality Improvement Interventions Designed to Improve Glycemic Control in Diabetes: A Systematic Review and Weighted Regression Analysis.

Authors:  Teryl K Nuckols; Emmett Keeler; Laura J Anderson; Jonas Green; Sally C Morton; Brian J Doyle; Kanaka Shetty; Aziza Arifkhanova; Marika Booth; Roberta Shanman; Paul Shekelle
Journal:  Diabetes Care       Date:  2018-05       Impact factor: 17.152

10.  Novel Risk Engine for Diabetes Progression and Mortality in USA: Building, Relating, Assessing, and Validating Outcomes (BRAVO).

Authors:  Hui Shao; Vivian Fonseca; Charles Stoecker; Shuqian Liu; Lizheng Shi
Journal:  Pharmacoeconomics       Date:  2018-09       Impact factor: 4.558

  10 in total
  1 in total

1.  What Gets Measured Gets Improved-Setting Standards and Accreditation for Quality Improvement for Diabetes Services in Australia.

Authors:  Sofianos Andrikopoulos; Steven James; Natalie Wischer
Journal:  J Diabetes Sci Technol       Date:  2021-05-19
  1 in total

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