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1.
Health Aff (Millwood) ; 38(9): 1433-1441, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31479350

RESUMO

Improving population health requires a focus on neighborhoods with high rates of illness. We aimed to reduce hospital days for children from two high-morbidity, high-poverty neighborhoods in Cincinnati, Ohio, to narrow the gap between their neighborhoods and healthier ones. We also sought to use this population health improvement initiative to develop and refine a theory for how to narrow equity gaps across broader geographic areas. We relied upon quality improvement methods and a learning health system approach. Interventions included the optimization of chronic disease management; transitions in care; mitigation of social risk; and use of actionable, real-time data. The inpatient bed-day rate for the two target neighborhoods decreased by 18 percent from baseline (July 2012-June 2015) to the improvement phase (July 2015-June 2018). Hospitalizations decreased by 20 percent. There was no similar decrease in demographically comparable neighborhoods. We see the neighborhood as a relevant frame for achieving equity and building a multisector culture of health.


Assuntos
Hospitalização/tendências , Saúde da População , Características de Residência , Adolescente , Criança , Pré-Escolar , Humanos , Lactente , Ohio
2.
Health Aff (Millwood) ; 37(4): 551-559, 2018 04.
Artigo em Inglês | MEDLINE | ID: mdl-29608357

RESUMO

Building a culture of health in hospitals means more than participating in community partnerships. It also requires an enhanced capacity to recognize and respond to disparities in utilization patterns across populations. We identified all pediatric hospitalizations at Cincinnati Children's Hospital Medical Center, in the period 2011-16. Each hospitalized child's address was geocoded, allowing us to calculate inpatient bed-day rates for each census tract in Hamilton County, Ohio, across all causes and for specific conditions and pediatric subspecialties. We then divided the census tracts into quintiles based on their underlying rates of child poverty and calculated bed-day rates per quintile. Poorer communities disproportionately bore the burden of pediatric hospital days. If children from all of the county's census tracts spent the same amount of time in the hospital each year as those from the most affluent tracts, approximately twenty-two child-years of hospitalization time would be prevented. Of particular note were "hot spots" in high-poverty census tracts neighboring the hospital, where bed-day rates were more than double the county average. Hospitals that address disparities would benefit from a more comprehensive understanding of the culture of health-a culture that is more cohesive inside the hospital and builds bridges into the community.


Assuntos
Algoritmos , Mapeamento Geográfico , Disparidades nos Níveis de Saúde , Hospitalização/estatística & dados numéricos , Hospitais Pediátricos , Tempo de Internação/estatística & dados numéricos , Adolescente , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Ohio , Pobreza , Fatores Socioeconômicos
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