Literature DB >> 25528003

Trends over 8 years in quality of diabetes care: results of the AMD Annals continuous quality improvement initiative.

Maria Chiara Rossi1, Riccardo Candido, Antonio Ceriello, Antonino Cimino, Paolo Di Bartolo, Carlo Giorda, Katherine Esposito, Giuseppe Lucisano, Marina Maggini, Edoardo Mannucci, Illidio Meloncelli, Antonio Nicolucci, Fabio Pellegrini, Marco Scardapane, Giacomo Vespasiani.   

Abstract

OBJECTIVE: Quality of care monitoring is a key strategy for health policy. In Italy, the AMD Annals continuous monitoring and quality improvement initiative has been in place since 2006. Results after 8 years are now available. RESEARCH DESIGN AND METHODS: Quality of diabetes care indicators during the years 2004-2011 were extracted from electronic medical records of 300 diabetes clinics. From 200,000 to 500,000 patients with type 2 diabetes were analyzed per year. Six process indicators, eight intermediate outcome indicators, seven indicators of treatment intensity/appropriateness, and a quality of care summary score (Q score) were evaluated. Previous studies documented that the risk of developing a new cardiovascular event was 80 % higher in patients with a Q score <15 and 20 % higher in those with a score between 15 and 25, as compared to those with a score >25.
RESULTS: The proportion of patients with HbA1c ≤7 %, LDL cholesterol <100 mg/dl, and blood pressure ≥140/90 mmHg increased by 4.8, 21.9, and 10.0 %, respectively. Process and treatment intensity/appropriateness indicators consistently improved. The proportion of patients with a Q score <15 decreased from 13.5 to 6.5 %, while those with a Q score >25 increased from 22.9 to 38.5 %.
CONCLUSIONS: AMD Annals document the progress in quality of diabetes care. Longitudinal improvements in Q score can translate into less cardiovascular events, with evident clinical and economic implications. AMD Annals represent a physician-led effort not requiring allocation of extra-economic resources, which is easy to implement and deeply rooted in routine clinical practice. They are a potential case model for other healthcare systems.

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Year:  2014        PMID: 25528003     DOI: 10.1007/s00592-014-0688-6

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  6 in total

1.  The complex interplay between clinical and person-centered diabetes outcomes in the two genders.

Authors:  Maria Chiara Rossi; Giuseppe Lucisano; Basilio Pintaudi; Angela Bulotta; Sandro Gentile; Marco Scardapane; Soren Eik Skovlund; Giacomo Vespasiani; Antonio Nicolucci
Journal:  Health Qual Life Outcomes       Date:  2017-02-21       Impact factor: 3.186

Review 2.  Quality improvement strategies at primary care level to reduce inequalities in diabetes care: an equity-oriented systematic review.

Authors:  Natalie Terens; Simona Vecchi; Anna Maria Bargagli; Nera Agabiti; Zuzana Mitrova; Laura Amato; Marina Davoli
Journal:  BMC Endocr Disord       Date:  2018-05-29       Impact factor: 2.763

3.  Nationwide Survey on Actual Interventions for Type 2 Diabetes by Japanese Practitioners (NSAID Study-1): Glycemic, Weight, and Blood Pressure Management.

Authors:  Keiko Arai; Tetsuo Nishikawa; Shohei Yuasa; Shin-Ichiro Shirabe; Yoko Matsuzawa; Shigeyuki Ohtsu; Koich Hirao; Hisao Mori
Journal:  Diabetes Ther       Date:  2020-05-22       Impact factor: 2.945

4.  Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists.

Authors:  Nicoletta Musacchio; Annalisa Giancaterini; Giacomo Guaita; Alessandro Ozzello; Maria A Pellegrini; Paola Ponzani; Giuseppina T Russo; Rita Zilich; Alberto de Micheli
Journal:  J Med Internet Res       Date:  2020-06-22       Impact factor: 5.428

5.  Gender-Disparities in Adults with Type 1 Diabetes: More Than a Quality of Care Issue. A Cross-Sectional Observational Study from the AMD Annals Initiative.

Authors:  Valeria Manicardi; Giuseppina Russo; Angela Napoli; Elisabetta Torlone; Patrizia Li Volsi; Carlo Bruno Giorda; Nicoletta Musacchio; Antonio Nicolucci; Concetta Suraci; Giuseppe Lucisano; Maria Chiara Rossi
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

6.  Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis.

Authors:  Carlo Bruno Giorda; Federico Pisani; Alberto De Micheli; Paola Ponzani; Giuseppina Russo; Giacomo Guaita; Rita Zilich; Nicoletta Musacchio
Journal:  BMJ Open Diabetes Res Care       Date:  2020-09
  6 in total

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