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1.
Health Serv Res ; 55(6): 944-953, 2020 12.
Artículo en Inglés | MEDLINE | ID: mdl-33047340

RESUMEN

OBJECTIVE: To assess the effect of dissemination and implementation of an intervention consisting of practice facilitation and a risk-stratified, population management dashboard on cardiovascular risk reduction for patients at high risk in small, primary care practices. STUDY SETTING: A total of 219 small primary care practices (≤10 clinicians per site) across North Carolina with primary data collection from electronic health records (EHRs) from the fourth quarter of 2015 through the second quarter of 2018. STUDY DESIGN: We performed a stepped-wedge, stratified, cluster randomized trial of a one-year intervention consisting of practice facilitation utilizing quality improvement techniques coupled with a cardiovascular dashboard that included lists of risk-stratified adults, aged 40-79 years and their unmet treatment opportunities. The primary outcome was change in 10-Year ASCVD Risk score among all patients with a baseline score ≥10 percent from baseline to 3 months postintervention. DATA COLLECTION/ EXTRACTION METHODS: Data extracts were securely transferred from practices on a nightly basis from their EHR to the research team registry. PRINCIPLE FINDINGS: ASCVD risk scores were assessed on 437 556 patients and 146 826 had a calculated 10-year risk ≥10 percent. The mean baseline risk was 23.4 percent (SD ± 12.6 percent). Postintervention, the absolute risk reduction was 6.3 percent (95% CI 6.3, 6.4). Models considering calendar time and stepped-wedge controls revealed most of the improvement (4.0 of 6.3 percent) was attributable to the intervention and not secular trends. In multivariate analysis, male gender, age >65 years, low-income (<$40 000), and Black race (P < .001 for all variables) were each associated with greater risk reductions. CONCLUSION: A risk-stratified, population management dashboard combined with practice facilitation led to substantial reductions of 10-year ASCVD risk for patients at high risk. Similar approaches could lead to effective dissemination and implementation of other new evidence, especially in rural and other under-resourced practices. Registration: ClinicalTrials.Gov 15-0479.


Asunto(s)
Enfermedades Cardiovasculares/prevención & control , Factores de Riesgo de Enfermedad Cardiaca , Atención Primaria de Salud/organización & administración , Mejoramiento de la Calidad/organización & administración , Adulto , Factores de Edad , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , North Carolina , Atención Primaria de Salud/normas , Factores de Riesgo , Conducta de Reducción del Riesgo , Factores Sexuales , Factores Socioeconómicos , Factores de Tiempo
2.
BMC Health Serv Res ; 20(1): 695, 2020 Jul 28.
Artículo en Inglés | MEDLINE | ID: mdl-32723386

RESUMEN

BACKGROUND: Practice facilitation is a promising strategy to enhance care processes and outcomes in primary care settings. It requires that practices and their facilitators engage as teams to drive improvement. In this analysis, we explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month practice facilitation intervention focused on implementing cardiovascular prevention activities in practice. Understanding factors associated with greater engagement with facilitators in practice-based quality improvement can assist practice facilitation programs with planning and resource allocation. METHODS: One hundred thirty-six ambulatory care small to medium sized primary care practices that participated in the EvidenceNow initiative's NC Cooperative, named Heart Health Now (HHN), fit the eligibility criteria for this analysis. We explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month intervention using a retrospective cohort design that included baseline survey data, monthly practice activity implementation data and information about facilitator's experience. Generalized linear mixed-effects models (GLMMs) identified variables associated with greater odds of team engagement using an ordinal scale for level of team engagement. RESULTS: Among our practice cohort, over half were clinician-owned and 27% were Federally Qualified Health Centers. The mean number of clinicians was 4.9 (SD 4.2) and approximately 40% of practices were in Medically Underserved Areas (MUA). GLMMs identified a best fit model. The Model presented as odd ratios and 95% confidence intervals suggests greater odds ratios of higher team engagement with greater practice QI leadership 17.31 (5.24-57.19), [0.00], and practice location in a MUA 7.25 (1.8-29.20), [0.005]. No facilitator characteristics were independently associated with greater engagement. CONCLUSIONS: Our analysis provides information for practice facilitation stakeholders to consider when considering which practices may be more amendable to embracing facilitation services.


Asunto(s)
Atención Primaria de Salud/normas , Mejoramiento de la Calidad , Enfermedades Cardiovasculares/prevención & control , Humanos , Grupo de Atención al Paciente/normas , Estudios Retrospectivos
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