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Impact of a Population Health Management Intervention on Disparities in Cardiovascular Disease Control.
James, Aisha; Berkowitz, Seth A; Ashburner, Jeffrey M; Chang, Yuchiao; Horn, Daniel M; O'Keefe, Sandra M; Atlas, Steven J.
Afiliação
  • James A; Harvard/Massachusetts General Hospital Medicine-Pediatrics Residency Program, Boston, MA, USA.
  • Berkowitz SA; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA. saberkowitz@partners.org.
  • Ashburner JM; Harvard Medical School, Boston, MA, USA. saberkowitz@partners.org.
  • Chang Y; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Horn DM; Harvard Medical School, Boston, MA, USA.
  • O'Keefe SM; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Atlas SJ; Harvard Medical School, Boston, MA, USA.
J Gen Intern Med ; 33(4): 463-470, 2018 04.
Article em En | MEDLINE | ID: mdl-29313223
ABSTRACT

BACKGROUND:

Healthcare systems use population health management programs to improve the quality of cardiovascular disease care. Adding a dedicated population health coordinator (PHC) who identifies and reaches out to patients not meeting cardiovascular care goals to these programs may help reduce disparities in cardiovascular care.

OBJECTIVE:

To determine whether a program that used PHCs decreased racial/ethnic disparities in LDL cholesterol and blood pressure (BP) control.

DESIGN:

Retrospective difference-in-difference analysis.

PARTICIPANTS:

Twelve thousdand five hundred fifty-five primary care patients with cardiovascular disease (cohort for LDL analysis) and 41,183 with hypertension (cohort for BP analysis). INTERVENTION From July 1, 2014-December 31, 2014, 18 practices used an information technology (IT) system to identify patients not meeting LDL and BP goals; 8 practices also received a PHC. We examined whether having the PHC plus IT system, compared with having the IT system alone, decreased racial/ethnic disparities, using difference-in-difference analysis of data collected before and after program implementation. MAIN

MEASURES:

Meeting guideline concordant LDL and BP goals. KEY

RESULTS:

At baseline, there were racial/ethnic disparities in meeting LDL (p = 0.007) and BP (p = 0.0003) goals. Comparing practices with and without a PHC, and accounting for pre-intervention LDL control, non-Hispanic white patients in PHC practices had improved odds of LDL control (OR 1.20 95% CI 1.09-1.32) compared with those in non-PHC practices. Non-Hispanic black (OR 1.15 95% CI 0.80-1.65) and Hispanic (OR 1.29 95% CI 0.66-2.53) patients saw similar, but non-significant, improvements in LDL control. For BP control, non-Hispanic white patients in PHC practices (versus non-PHC) improved (OR 1.13 95% CI 1.05-1.22). Non-Hispanic black patients (OR 1.17 95% CI 0.94-1.45) saw similar, but non-statistically significant, improvements in BP control, but Hispanic (OR 0.90 95% CI 0.59-1.36) patients did not. Interaction testing confirmed that disparities did not decrease (p = 0.73 for LDL and p = 0.69 for BP).

CONCLUSIONS:

The population health management intervention did not decrease disparities. Further efforts should explicitly target improving both healthcare equity and quality. Clinical Trials # NCT02812303 ( ClinicalTrials.gov ).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Doenças Cardiovasculares / Disparidades em Assistência à Saúde / Gestão da Saúde da População Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Doenças Cardiovasculares / Disparidades em Assistência à Saúde / Gestão da Saúde da População Idioma: En Ano de publicação: 2018 Tipo de documento: Article