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1.
Prev Chronic Dis ; 17: E08, 2020 01 23.
Artículo en Inglés | MEDLINE | ID: mdl-31971896

RESUMEN

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.


Asunto(s)
Diabetes Mellitus Tipo 2/terapia , Hipertensión/terapia , Proveedores de Redes de Seguridad/estadística & datos numéricos , Presión Sanguínea , Medicina Basada en la Evidencia , Hemoglobina Glucada , Control Glucémico/estadística & datos numéricos , Humanos , Illinois , Encuestas y Cuestionarios
3.
Prev Chronic Dis ; 11: E165, 2014 Sep 25.
Artículo en Inglés | MEDLINE | ID: mdl-25254983

RESUMEN

Market research data complement traditional epidemiologic data by allowing users to examine health behavior and patterns by census block or census tract. Market research data can identify products and behaviors that align or do not align with public health program goals. Illinois is a recipient of an award from the Directors of Health Promotion and Education to use industry market research data collected by The Nielsen Company for public health purposes. Illinois creates customized community profiles using market research data on tobacco use characteristics to describe the demographics, habits, and media preferences of smokers in certain locations. Local agencies use profiles to plan and target marketing initiatives, reach disparate groups within overall community populations, and restructure program objectives and policy initiatives. Local market research data provide detailed information on the characteristics of smokers, allowing Illinois communities to design public health programs without having to collect data on their own.


Asunto(s)
Enfermedad Crónica/prevención & control , Mercadotecnía/estadística & datos numéricos , Administración en Salud Pública/estadística & datos numéricos , Humanos , Illinois/epidemiología , Estilo de Vida , Nicotiana
4.
Am J Health Promot ; 34(6): 608-613, 2020 07.
Artículo en Inglés | MEDLINE | ID: mdl-32133865

RESUMEN

PURPOSE: The objective of this study was to examine frequent mental distress (FMD) by demographics, chronic conditions, and health risk factors among Illinois adults. DESIGN: Descriptive analyses included χ2 and pairwise t tests to examine how FMD status differed by selected characteristics and Cox proportional hazards regression analysis to examine the association between FMD and chronic conditions and risk factors. SETTING: Illinois Behavioral Risk Factor Surveillance System, 2011 to 2017 (n = 37 312). PARTICIPANTS: Adults who self-report FMD (n = 3455) were included. MEASURES: Prevalence of high blood pressure, coronary heart disease, chronic obstructive pulmonary disease, arthritis, asthma, high blood cholesterol, cancer, kidney disease, stroke, diabetes, weight status, physical activity status, smoking status, and drinking status. RESULTS: A significantly higher FMD prevalence was found among females (11.7%; 95% confidence interval [CI]: 11.1-12.4), non-Hispanic blacks (13.4, 95% CI: 11.9-15.0), adults with less than a high school degree (14.4%; 95% CI: 12.6-16.3), adults with an annual income of less than $15 000 (21.4%; 95% CI: 19.4-23.5), and adults with a disability (23.3%, 95% CI: 21.9-24.7). Adjusted prevalence of FMD was significantly higher among adults for 8 of 10 chronic conditions and 4 of 5 health risk factors studied. CONCLUSIONS: Social stigmas related to depression and anxiety may lead to the underreporting of FMD. Chronic disease management programs in Illinois should consider integrating mental health services.


Asunto(s)
Enfermedad Crónica , Conductas Relacionadas con la Salud , Adulto , Sistema de Vigilancia de Factor de Riesgo Conductual , Enfermedad Crónica/epidemiología , Femenino , Humanos , Illinois/epidemiología , Masculino , Prevalencia , Estados Unidos
6.
J Am Med Inform Assoc ; 21(1): 132-8, 2014.
Artículo en Inglés | MEDLINE | ID: mdl-23744788

RESUMEN

OBJECTIVE: Increasing use of electronic health records (EHRs) provides new opportunities for public health surveillance. During the 2009 influenza A (H1N1) virus pandemic, we developed a new EHR-based influenza-like illness (ILI) surveillance system designed to be resource sparing, rapidly scalable, and flexible. 4 weeks after the first pandemic case, ILI data from Indian Health Service (IHS) facilities were being analyzed. MATERIALS AND METHODS: The system defines ILI as a patient visit containing either an influenza-specific International Classification of Disease, V.9 (ICD-9) code or one or more of 24 ILI-related ICD-9 codes plus a documented temperature ≥100°F. EHR-based data are uploaded nightly. To validate results, ILI visits identified by the new system were compared to ILI visits found by medical record review, and the new system's results were compared with those of the traditional US ILI Surveillance Network. RESULTS: The system monitored ILI activity at an average of 60% of the 269 IHS electronic health databases. EHR-based surveillance detected ILI visits with a sensitivity of 96.4% and a specificity of 97.8% based on chart review (N=2375) of visits at two facilities in September 2009. At the peak of the pandemic (week 41, October 17, 2009), the median time from an ILI visit to data transmission was 6 days, with a mode of 1 day. DISCUSSION: EHR-based ILI surveillance was accurate, timely, occurred at the majority of IHS facilities nationwide, and provided useful information for decision makers. EHRs thus offer the opportunity to transform public health surveillance.


Asunto(s)
Registros Electrónicos de Salud , Indígenas Norteamericanos , Subtipo H1N1 del Virus de la Influenza A , Gripe Humana/etnología , Inuk , Pandemias , Vigilancia en Salud Pública/métodos , Humanos , Estados Unidos/epidemiología
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