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Prev Chronic Dis ; 17: E08, 2020 01 23.
Artigo em Inglês | MEDLINE | ID: mdl-31971896

RESUMO

INTRODUCTION: Evidence-based interventions (referral, team-based care, self-management, and self-monitoring) for chronic disease management are well documented and widely used by Federally Qualified Health Centers (FQHCs). However, how these interventions are implemented varies substantially. METHODS: The Illinois Health Information Systems Survey was deployed to 49 FQHCs. Responses were grouped into 4 distinct policies, systems, and processes (P/S/P) categories: internal policies/workflows, huddles (brief meetings), electronic health record alerts/tracking tools, and case manager/coordinator interaction. Responses were then direct-matched to the 2016 Health Resources and Services and Administration Uniform Data System clinical quality indicator (QI) percent scores. Descriptive statistics were generated and level of significance (P < .05) was tested for hypertension and type 2 diabetes mellitus. RESULTS: The total number of P/S/Ps in place for hypertension ranged from 0 to 13 (mean, 6.9) and 0 to 8 for diabetes (mean, 5.1). Meeting or exceeding the national mean QI percent score for controlled blood pressure (62.4%) was significant among FQHCs with 9 or more P/S/Ps compared with those with 8 or fewer P/S/Ps. A positive association in clinical QI percent score was found among organizations that had 3 or more P/S/Ps (for all 4 intervention areas), although none were significant. CONCLUSION: An assessment of the types of P/S/Ps used to implement evidence-based interventions for hypertension and diabetes management is a first in Illinois. Initial results support some relationship between the number of P/S/Ps implemented and clinical QI percent score for both hypertension and diabetes.


Assuntos
Diabetes Mellitus Tipo 2/terapia , Hipertensão/terapia , Provedores de Redes de Segurança/estatística & dados numéricos , Pressão Sanguínea , Medicina Baseada em Evidências , Hemoglobinas Glicadas , Controle Glicêmico/estatística & dados numéricos , Humanos , Illinois , Inquéritos e Questionários
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