» Articles » PMID: 19364997

Impact of a Multifaceted Intervention on Cholesterol Management in Primary Care Practices: Guideline Adherence for Heart Health Randomized Trial

Overview
Journal Arch Intern Med
Specialty General Medicine
Date 2009 Apr 15
PMID 19364997
Citations 30
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Physician adherence to National Cholesterol Education Program clinical practice guidelines has been poor.

Methods: We recruited 68 primary care family and internal medicine practices; 66 were randomly allocated to a study arm; 5 practices withdrew, resulting in 29 receiving the Third Adult Treatment Panel (ATP III) intervention and 32 receiving an alternative intervention focused on the Seventh Report of the Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC-7). The ATP III providers received a personal digital assistant providing the Framingham risk scores and ATP III-recommended treatment. All practices received copies of each clinical practice guideline, an introductory lecture, 1 performance feedback report, and 4 visits for intervention-specific academic detailing. Data were abstracted at 61 practices from random samples of medical records of patients treated from June 1, 2001, through May 31, 2003 (baseline), and from May 1, 2004, through April 30, 2006 (follow-up). The proportion screened with subsequent appropriate decision making (primary outcome) was calculated. Generalized estimating equations were used to compare results by arm, accounting for clustering of patients within practices.

Results: We examined 5057 baseline and 3821 follow-up medical records. The screening rate for lipid levels increased from 43.6% to 49.0% (ATP III practices) and from 40.1% to 50.8% (control practices) (net difference, -5.3% [P = .22]). Appropriate management of lipid levels decreased slightly (73.4% to 72.3%) in ATP III practices and more markedly (79.7% to 68.9%) in control practices. The net change in appropriate management favored the intervention (+9.7%; 95% confidence interval [CI], 2.8%-16.6% [P < .01]). Appropriate drug prescription within 4 months decreased in both arms (38.8% to 24.8% in ATP III practices and 45.3% to 24.1% in control practices; net change, +7.2% [P = .37]) Overtreatment declined from 6.6% to 3.9% in ATP III and rose from 4.2% to 6.4% in control practices (net change, -4.9% [P = .01]).

Conclusions: A multifactor intervention including personal digital assistant-based decision support may improve primary care physician adherence to the ATP III guidelines. Trial Registration clinicaltrials.gov Identifier: NCT00224848.

Citing Articles

Exploring the content and delivery of feedback facilitation co-interventions: a systematic review.

Sykes M, Rosenberg-Yunger Z, Quigley M, Gupta L, Thomas O, Robinson L Implement Sci. 2024; 19(1):37.

PMID: 38807219 PMC: 11134935. DOI: 10.1186/s13012-024-01365-9.


Impact of Implementing a Dyslipidemia Management Guideline on Cholesterol Control for Secondary Prevention of Ischemic Heart Disease in Primary Care.

Forcadell Drago E, Dalmau Llorca M, Aguilar Martin C, Ferreira-Gonzalez I, Hernandez Rojas Z, Goncalves A Int J Environ Res Public Health. 2020; 17(22).

PMID: 33228008 PMC: 7699273. DOI: 10.3390/ijerph17228590.


Addressing low-value pharmacological prescribing in primary prevention of CVD through a structured evidence-based and theory-informed process for the design and testing of de-implementation strategies: the DE-imFAR study.

Sanchez A, Pijoan J, Pablo S, Mediavilla M, Sainz de Rozas R, Lekue I Implement Sci. 2020; 15(1):8.

PMID: 31969175 PMC: 6977270. DOI: 10.1186/s13012-020-0966-3.


The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis.

Groenhof T, Asselbergs F, Groenwold R, Grobbee D, Visseren F, Bots M BMC Med Inform Decis Mak. 2019; 19(1):108.

PMID: 31182084 PMC: 6558725. DOI: 10.1186/s12911-019-0824-x.


The use of external change agents to promote quality improvement and organizational change in healthcare organizations: a systematic review.

Alagoz E, Chih M, Hitchcock M, Brown R, Quanbeck A BMC Health Serv Res. 2018; 18(1):42.

PMID: 29370791 PMC: 5785888. DOI: 10.1186/s12913-018-2856-9.


References
1.
Wilson P, DAgostino R, Levy D, Belanger A, Silbershatz H, Kannel W . Prediction of coronary heart disease using risk factor categories. Circulation. 1998; 97(18):1837-47. DOI: 10.1161/01.cir.97.18.1837. View

2.
Grundy S, Cleeman J, Merz C, Brewer Jr H, Clark L, Hunninghake D . Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation. 2004; 110(2):227-39. DOI: 10.1161/01.CIR.0000133317.49796.0E. View

3.
Hoerger T, Bala M, Bray J, Wilcosky T, LaRosa J . Treatment patterns and distribution of low-density lipoprotein cholesterol levels in treatment-eligible United States adults. Am J Cardiol. 1998; 82(1):61-5. DOI: 10.1016/s0002-9149(98)00227-6. View

4.
Ornstein S, Jenkins R, Nietert P, Feifer C, Roylance L, Nemeth L . A multimethod quality improvement intervention to improve preventive cardiovascular care: a cluster randomized trial. Ann Intern Med. 2004; 141(7):523-32. DOI: 10.7326/0003-4819-141-7-200410050-00008. View

5.
Gonzales R, Steiner J, Lum A, Barrett Jr P . Decreasing antibiotic use in ambulatory practice: impact of a multidimensional intervention on the treatment of uncomplicated acute bronchitis in adults. JAMA. 1999; 281(16):1512-9. DOI: 10.1001/jama.281.16.1512. View