Literature DB >> 29443486

Effects on patients of variations in the implementation of a cardiometabolic risk intervention program in Montréal.

Marie-Ève Beauregard1, Sylvie Provost2,3,4, Raynald Pineault2,3,4,5, Dominique Grimard2, José Pérez2,3, Michel Fournier2.   

Abstract

INTRODUCTION: In 2011, the Agence de la santé et des services sociaux de Montréal (ASSSM), in partnership with the region's Centres de santé et de services sociaux (CSSS), coordinated the implementation of a program on cardiometabolic risk based on the Chronic Care Model. The program, intended for patients suffering from diabetes or hypertension, involved a series of individual follow-up appointments, group classes and exercise sessions. Our study assesses the impact on patient health outcomes of variations in the implementation of some aspects of the program among the six CSSSs taking part in the study.
METHODS: The evaluation was carried out using a quasi-experimental "before and after" design. Implementation variables were constructed based on data collected during the implementation analysis regarding resources, compliance with the clinical process set out in the regional program, the program experience and internal coordination within the care team. Differences in differences using propensity scores were calculated for HbA1c results, achieving the blood pressure (BP) target, and two lifestyle targets (exercise level and carbohydrate distribution) at the 6- and 12-month follow-ups, based on greater or lesser patient exposure to the implementation of various aspects of the program under study.
RESULTS: The results focus on 1185 patients for whom we had data at the 6-month follow- up and the 992 patients from the 12-month follow-up. The difference in differences analysis shows no clear association between the extent of implementation of the various aspects of the program under study and patient health outcomes.
CONCLUSION: The program produces effects on selected health indicators independent of variations in program implementation among the CSSSs taking part in the study. The results suggest that the effects of this type of program are more highly dependent on the delivery of interventions to patients than on the organizational aspects of its implementation.

Entities:  

Keywords:  chronic disease; diabetes; hypertension; primary health care

Mesh:

Year:  2018        PMID: 29443486      PMCID: PMC5833637          DOI: 10.24095/hpcdp.38.2.03

Source DB:  PubMed          Journal:  Health Promot Chronic Dis Prev Can        ISSN: 2368-738X            Impact factor:   3.240


  10 in total

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2.  The impact of comorbid chronic conditions on diabetes care.

Authors:  John D Piette; Eve A Kerr
Journal:  Diabetes Care       Date:  2006-03       Impact factor: 19.112

3.  Evidence on the Chronic Care Model in the new millennium.

Authors:  Katie Coleman; Brian T Austin; Cindy Brach; Edward H Wagner
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4.  A Review of Hot Deck Imputation for Survey Non-response.

Authors:  Rebecca R Andridge; Roderick J A Little
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5.  What is hemoglobin A1c? An analysis of glycated hemoglobins by electrospray ionization mass spectrometry.

Authors:  K P Peterson; J G Pavlovich; D Goldstein; R Little; J England; C M Peterson
Journal:  Clin Chem       Date:  1998-09       Impact factor: 8.327

6.  Improving primary care for patients with chronic illness: the chronic care model, Part 2.

Authors:  Thomas Bodenheimer; Edward H Wagner; Kevin Grumbach
Journal:  JAMA       Date:  2002-10-16       Impact factor: 56.272

7.  High blood pressure: why prevention and control are urgent and important: a 2014 fact sheet from the World Hypertension League and the International Society of Hypertension.

Authors:  Norm R C Campbell; Daniel T Lackland; Mark L Niebylski
Journal:  J Clin Hypertens (Greenwich)       Date:  2014-07-17       Impact factor: 3.738

8.  Evaluation of the implementation of an integrated primary care network for prevention and management of cardiometabolic risk in Montréal.

Authors:  Sylvie Provost; Raynald Pineault; Pierre Tousignant; Marjolaine Hamel; Roxane Borgès Da Silva
Journal:  BMC Fam Pract       Date:  2011-11-10       Impact factor: 2.497

Review 9.  Effectiveness of chronic care models: opportunities for improving healthcare practice and health outcomes: a systematic review.

Authors:  Carol Davy; Jonathan Bleasel; Hueiming Liu; Maria Tchan; Sharon Ponniah; Alex Brown
Journal:  BMC Health Serv Res       Date:  2015-05-10       Impact factor: 2.655

Review 10.  The chronic care model and diabetes management in US primary care settings: a systematic review.

Authors:  Michael Stellefson; Krishna Dipnarine; Christine Stopka
Journal:  Prev Chronic Dis       Date:  2013       Impact factor: 2.830

  10 in total

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