Improving Regional Blood Pressure Control: a Positive Deviance Tiered Intensity Approach.


Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
06 2021
Historique:
received: 24 05 2020
accepted: 15 12 2020
pubmed: 28 1 2021
medline: 29 6 2021
entrez: 27 1 2021
Statut: ppublish

Résumé

Accelerated translation of real-world interventions for hypertension management is critical to improving cardiovascular outcomes and reducing disparities. To determine whether a positive deviance approach would improve blood pressure (BP) control across diverse health systems. Quality improvement study using 1-year cross sections of electronic health record data over 5 years (2013-2017). Adults ≥ 18 with hypertension with two visits in 2 years with at least one primary care visit in the last year (N = 114,950 at baseline) to a primary care practice in Better Health Partnership, a regional health improvement collaborative. Identification of a "positive deviant" and dissemination of this system's best practices for control of hypertension (i.e., accurate/repeat BP measurement; timely follow-up; outreach; standard treatment algorithm; and communication curriculum) using 3 different intensities (low: Learning Collaborative events describing the best practices; moderate: Learning Collaborative events plus consultation when requested; and high: Learning Collaborative events plus practice coaching). We used a weighted linear model to estimate the pre- to post-intervention average change in BP control (< 140/90 mmHg) for 35 continuously participating clinics. BP control post-intervention improved by 7.6% [95% confidence interval (CI) 6.0-9.1], from 67% in 2013 to 74% in 2017. Subgroups with the greatest absolute improvement in BP control included Medicaid (12.0%, CI 10.5-13.5), Hispanic (10.5%, 95% CI 8.4-12.5), and African American (9.0%, 95% CI 7.7-10.4). Implementation intensity was associated with improvement in BP control (high: 14.9%, 95% CI 0.2-19.5; moderate: 5.2%, 95% CI 0.8-9.5; low: 0.2%, 95% CI-3.9 to 4.3). Employing a positive deviance approach can accelerate translation of real-world best practices into care across diverse health systems in the context of a regional health improvement collaborative (RHIC). Using this approach within RHICs nationwide could translate to meaningful improvements in cardiovascular morbidity and mortality.

Sections du résumé

BACKGROUND
Accelerated translation of real-world interventions for hypertension management is critical to improving cardiovascular outcomes and reducing disparities.
OBJECTIVE
To determine whether a positive deviance approach would improve blood pressure (BP) control across diverse health systems.
DESIGN
Quality improvement study using 1-year cross sections of electronic health record data over 5 years (2013-2017).
PARTICIPANTS
Adults ≥ 18 with hypertension with two visits in 2 years with at least one primary care visit in the last year (N = 114,950 at baseline) to a primary care practice in Better Health Partnership, a regional health improvement collaborative.
INTERVENTIONS
Identification of a "positive deviant" and dissemination of this system's best practices for control of hypertension (i.e., accurate/repeat BP measurement; timely follow-up; outreach; standard treatment algorithm; and communication curriculum) using 3 different intensities (low: Learning Collaborative events describing the best practices; moderate: Learning Collaborative events plus consultation when requested; and high: Learning Collaborative events plus practice coaching).
MAIN MEASURES
We used a weighted linear model to estimate the pre- to post-intervention average change in BP control (< 140/90 mmHg) for 35 continuously participating clinics.
KEY RESULTS
BP control post-intervention improved by 7.6% [95% confidence interval (CI) 6.0-9.1], from 67% in 2013 to 74% in 2017. Subgroups with the greatest absolute improvement in BP control included Medicaid (12.0%, CI 10.5-13.5), Hispanic (10.5%, 95% CI 8.4-12.5), and African American (9.0%, 95% CI 7.7-10.4). Implementation intensity was associated with improvement in BP control (high: 14.9%, 95% CI 0.2-19.5; moderate: 5.2%, 95% CI 0.8-9.5; low: 0.2%, 95% CI-3.9 to 4.3).
CONCLUSIONS
Employing a positive deviance approach can accelerate translation of real-world best practices into care across diverse health systems in the context of a regional health improvement collaborative (RHIC). Using this approach within RHICs nationwide could translate to meaningful improvements in cardiovascular morbidity and mortality.

Identifiants

pubmed: 33501526
doi: 10.1007/s11606-020-06480-z
pii: 10.1007/s11606-020-06480-z
pmc: PMC8175516
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1591-1597

Subventions

Organisme : CDC HHS
ID : DP14-1419PPHF14
Pays : United States

Références

JAMA Intern Med. 2018 Jun 1;178(6):858-860
pubmed: 29710186
Fam Pract. 2012 Oct;29(5):503-10
pubmed: 22234552
Med Care. 2006 Jul;44(7):646-57
pubmed: 16799359
Circulation. 2016 Jan 26;133(4):447-54
pubmed: 26811276
Cochrane Database Syst Rev. 2010 Mar 17;(3):CD005182
pubmed: 20238338
NCHS Data Brief. 2013 Oct;(133):1-8
pubmed: 24171916
BMC Health Serv Res. 2019 Sep 14;19(1):663
pubmed: 31521159
JAMA. 2000 Apr 19;283(15):1967-75
pubmed: 10789664
Am Heart J. 2011 Dec;162(6):981-987.e9
pubmed: 22137070
Health Aff (Millwood). 2018 Feb;37(2):266-274
pubmed: 29401005
N Engl J Med. 2015 Nov 26;373(22):2103-16
pubmed: 26551272
JAMA. 2013 Aug 21;310(7):699-705
pubmed: 23989679
BMJ Qual Saf. 2020 Mar;29(3):225-231
pubmed: 31473665
J Gen Intern Med. 2018 Dec;33(12):2027-2029
pubmed: 30066115
Implement Sci. 2009 May 08;4:25
pubmed: 19426507
BMJ. 2004 Nov 13;329(7475):1177-9
pubmed: 15539680
Hypertension. 2018 Jun;71(6):e13-e115
pubmed: 29133356
J Gen Intern Med. 2018 Nov;33(11):1968-1977
pubmed: 30066117
Health Aff (Millwood). 2015 Jul;34(7):1121-30
pubmed: 26153306

Auteurs

Shari D Bolen (SD)

Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA. sdb73@case.edu.
Better Health Partnership, Cleveland, OH, USA. sdb73@case.edu.
Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA. sdb73@case.edu.
Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA. sdb73@case.edu.

Thomas E Love (TE)

Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Better Health Partnership, Cleveland, OH, USA.
Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.

Douglas Einstadter (D)

Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Better Health Partnership, Cleveland, OH, USA.
Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.

Jonathan Lever (J)

Better Health Partnership, Cleveland, OH, USA.

Steven Lewis (S)

Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.

Harry Persaud (H)

Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.

Jordan Fiegl (J)

Department of Data Science and Analytics, University Hospitals, Cleveland, OH, USA.

Rujia Liu (R)

Medpace Inc., Cincinnati, OH, USA.

Wanda Ali-Matlock (W)

Better Health Partnership, Cleveland, OH, USA.

David Bar-Shain (D)

Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Better Health Partnership, Cleveland, OH, USA.
Department of Pediatrics, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.

Aleece Caron (A)

Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.

James Misak (J)

Department of Family Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.

Todd Wagner (T)

Signature Health, Mentor, OH, USA.

Erick Kauffman (E)

Neighborhood Family Practice, Cleveland, OH, USA.

Lloyd Cook (L)

Medical Mutual, Cleveland, OH, USA.

Christopher Hebert (C)

Mercy Health, Cincinnati, OH, USA.

Suzanne White (S)

Northeast Ohio Neighborhood Health Services, Inc., Cleveland, OH, USA.

Nana Kobaivanova (N)

The Cleveland Clinic, Cleveland, OH, USA.

Randall Cebul (R)

Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
Better Health Partnership, Cleveland, OH, USA.
Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH