Literature DB >> 25157013

Adoption of cardiovascular risk reduction guidelines: a cluster-randomized trial.

Kenneth A LaBresh1, Adolfo J Ariza2, Suzanne Lazorick3, Robert D Furberg4, Lauren Whetstone5, Connie Hobbs4, Janet de Jesus6, Ilse G Salinas7, Randall H Bender4, Helen J Binns8.   

Abstract

BACKGROUND AND OBJECTIVES: Cardiovascular disease (CVD) and underlying atherosclerosis begin in childhood and are related to CVD risk factors. This study evaluates tools and strategies to enhance adoption of new CVD risk reduction guidelines for children.
METHODS: Thirty-two practices, recruited and supported by 2 primary care research networks, were cluster randomized to a multifaceted controlled intervention. Practices were compared with guideline-based individual and composite measures for BMI, blood pressure (BP), and tobacco. Composite measures were constructed by summing the numerators and denominators of individual measures. Preintervention and postintervention measures were assessed by medical record review of children ages 3 to 11 years. Changes in measures (pre-post and intervention versus control) were compared.
RESULTS: The intervention group BP composite improved by 29.5%, increasing from 49.7% to 79.2%, compared with the control group (49.5% to 49.6%; P < .001). Intervention group BP interpretation improved by 61.1% (from 0.2% to 61.3%), compared with the control group (0.4% to 0.6%; P < .001). The assessment of tobacco exposure or use for 5- to 11-year-olds in the intervention group improved by 30.3% (from 3.4% to 49.1%) versus the control group (0.6% to 21.4%) (P = .042). No significant change was seen in the BMI or tobacco composites measures. The overall composite of 9 measures improved by 13.4% (from 48.2% to 69.8%) for the intervention group versus the control group (47.4% to 55.2%) (P = .01).
CONCLUSIONS: Significant improvement was demonstrated in the overall composite measure, the composite measure of BP, and tobacco assessment and advice for children aged 5 to 11 years.
Copyright © 2014 by the American Academy of Pediatrics.

Entities:  

Keywords:  cardiovascular disorders; children; cluster randomized trial; guideline implementation; prevention; quality improvement

Mesh:

Year:  2014        PMID: 25157013      PMCID: PMC4144001          DOI: 10.1542/peds.2014-0876

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  30 in total

Review 1.  Why don't physicians follow clinical practice guidelines? A framework for improvement.

Authors:  M D Cabana; C S Rand; N R Powe; A W Wu; M H Wilson; P A Abboud; H R Rubin
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

2.  Tools, teamwork, and tenacity: an examination of family practice office system influences on preventive service delivery.

Authors:  Richard M Carpiano; Susan A Flocke; Scott H Frank; Kurt C Stange
Journal:  Prev Med       Date:  2003-02       Impact factor: 4.018

3.  Principles of educational outreach ('academic detailing') to improve clinical decision making.

Authors:  S B Soumerai; J Avorn
Journal:  JAMA       Date:  1990-01-26       Impact factor: 56.272

4.  Blood pressure and echocardiographic measures in children: the Bogalusa Heart Study.

Authors:  G L Burke; R A Arcilla; W S Culpepper; L S Webber; Y K Chiang; G S Berenson
Journal:  Circulation       Date:  1987-01       Impact factor: 29.690

5.  Evaluating the effectiveness of 2 educational interventions in family practice.

Authors:  A E Borgiel; J I Williams; D A Davis; E V Dunn; N Hobbs; B Hutchison; C R Wilson; J Jensen; J J O'Neil; M J Bass
Journal:  CMAJ       Date:  1999-10-19       Impact factor: 8.262

6.  Improving the prevention, early recognition, and treatment of pediatric obesity by primary care physicians.

Authors:  Paul C Young; Sandra DeBry; W Daniel Jackson; Julie Metos; Elizabeth Joy; Mark Templeman; Chuck Norlin
Journal:  Clin Pediatr (Phila)       Date:  2010-10       Impact factor: 1.168

7.  Implementation of the NHLBI integrated guidelines for cardiovascular health and risk reduction in children and adolescents: rationale and study design for young hearts, strong starts, a cluster-randomized trial targeting body mass index, blood pressure, and tobacco.

Authors:  Kenneth A LaBresh; Suzanne Lazorick; Adolfo J Ariza; Robert D Furberg; Lauren Whetstone; Connie Hobbs; Janet de Jesus; Randall H Bender; Ilse G Salinas; Helen J Binns
Journal:  Contemp Clin Trials       Date:  2013-12-01       Impact factor: 2.226

8.  The impact of the preventive medical message on intention to change behavior.

Authors:  Stéphanie Frileux; María Teresa Muñoz Sastre; Etienne Mullet; Paul Clay Sorum
Journal:  Patient Educ Couns       Date:  2004-01

9.  Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study.

Authors:  G S Berenson; S R Srinivasan; W Bao; W P Newman; R E Tracy; W A Wattigney
Journal:  N Engl J Med       Date:  1998-06-04       Impact factor: 91.245

10.  The effects of hypertension on cognitive function in children and adolescents.

Authors:  Stephen D Cha; Hiren P Patel; David S Hains; John D Mahan
Journal:  Int J Pediatr       Date:  2012-02-28
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  5 in total

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Authors:  Tamara Brown; Theresa Hm Moore; Lee Hooper; Yang Gao; Amir Zayegh; Sharea Ijaz; Martha Elwenspoek; Sophie C Foxen; Lucia Magee; Claire O'Malley; Elizabeth Waters; Carolyn D Summerbell
Journal:  Cochrane Database Syst Rev       Date:  2019-07-23

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3.  Usability Testing and Adaptation of the Pediatric Cardiovascular Risk Reduction Clinical Decision Support Tool.

Authors:  Pamela A Williams; Robert D Furberg; Jacqueline E Bagwell; Kenneth A LaBresh
Journal:  JMIR Hum Factors       Date:  2016-06-21

4.  A Mobile Clinical Decision Support Tool for Pediatric Cardiovascular Risk-Reduction Clinical Practice Guidelines: Development and Description.

Authors:  Robert D Furberg; Pamela Williams; Jacqueline Bagwell; Kenneth LaBresh
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-07       Impact factor: 4.773

5.  Content, Usability, and Utilization of Plain Language in Breast Cancer Mobile Phone Apps: A Systematic Analysis.

Authors:  Tamar Ginossar; Sayyed Fawad Ali Shah; Andrew J West; Joshua M Bentley; Charlene A Caburnay; Matthew W Kreuter; Anita Y Kinney
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-13       Impact factor: 4.773

  5 in total

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