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1.
J Public Health Manag Pract ; 27(Suppl 6): S235-S241, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34559740

RESUMEN

CONTEXT: Released by the US Department of Health and Human Services (HHS) every decade since 1980, Healthy People identifies science-based objectives with targets to monitor progress and motivate and focus action. Healthy People 2030 is the current iteration of the Healthy People initiative. PROGRAM: Healthy People 2030 includes 3 sets of measures-Healthy People 2030 objectives, Leading Health Indicators (LHIs), and Overall Health and Well-being Measures (OHMs). Collectively, these components of Healthy People 2030 drive progress toward the initiative's vision of "a society in which all people can achieve their full potential for health and well-being across the life span." IMPLEMENTATION: The Healthy People 2030 LHIs and OHMs were developed with input from multiple subject matter experts and launched in December 2020. Designed as an entry point for users interested in improving the health of their communities and selected for their ability to improve health and well-being, the LHIs will be assessed annually. As broad, global outcome measures of overall health and well-being, the OHMs will be assessed at least 3 times before 2030. EVALUATION: The 23 LHIs are a subset of Healthy People 2030 core objectives that have been selected to drive action toward improved health and well-being. LHIs are intended to help organizations, communities, and states across the nation focus resources and efforts to improve the health and well-being of all people. The OHMs include 8 broad, global outcome measures of overall health and well-being that help assess progress toward the Healthy People 2030 vision. The Healthy People 2030 OHMs include the addition of a measure of overall well-being. DISCUSSION: Together with the Healthy People 2030 objectives, the LHIs and OHMs provide a plan of action to improve the health and well-being of the nation through a framework for assessing progress, addressing health disparities and social determinants of health, and advancing health equity.


Asunto(s)
Equidad en Salud , Estado de Salud , Humanos , Sociedades
2.
Artículo en Inglés | MEDLINE | ID: mdl-34065186

RESUMEN

The article, COVID-19 Medical Vulnerability Indicators: Predictive Local Data Model for Equity in Public Health Decision-Making (2021), is an important contribution to identifying and prioritizing the needs of Los Angeles' public healthcare in responding to the COVID-19 pandemic crisis [...].


Asunto(s)
COVID-19 , Salud Pública , Toma de Decisiones , Humanos , Los Angeles , Pandemias , Asignación de Recursos , SARS-CoV-2
4.
Annu Rev Public Health ; 31: 271-81 4 p folliwng 281, 2010.
Artículo en Inglés | MEDLINE | ID: mdl-20070194

RESUMEN

Healthy People 2010 is a comprehensive framework for improving the health of Americans, built on the foundation of several decades of predecessor initiatives. Its two overarching goals, to "[i]ncrease the quality and years of healthy life" and "[e]liminate health disparities," subsume 28 focus areas and comprise 955 objectives and subobjectives. This review evaluates progress toward meeting the Healthy People 2010 program's challenging agenda in the context of leading health indicator (LHI) measures, developed by the Department of Health and Human Services (DHHS), augmented by additional objectives for a total of 31 measures. Our evaluation of progress includes analysis of changes in objective values, including progress toward Healthy People 2010 targets, where appropriate, and analysis of changes in disparities. The Healthy People 2010 LHI measures suggest that although some progress has been made, there is much work to be done toward the Healthy People 2010 targets and both overarching goals.


Asunto(s)
Disparidades en el Estado de Salud , Indicadores de Salud , Programas Gente Sana , Adolescente , Adulto , Femenino , Humanos , Masculino , Objetivos Organizacionales , Evaluación de Programas y Proyectos de Salud/estadística & datos numéricos , Adulto Joven
5.
Pediatrics ; 123 Suppl 3: S131-45, 2009 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-19221156

RESUMEN

Centers for Disease Control and Prevention data were used to describe 1980-2007 trends among children 0 to 17 years of age and recent patterns according to gender, race, and age. Asthma period prevalence increased by 4.6% per year from 1980 to 1996. New measures introduced in 1997 show a plateau at historically high levels; 9.1% of US children (6.7 million) currently had asthma in 2007. Ambulatory care visit rates fluctuated during the 1990 s, whereas emergency department visits and hospitalization rates decreased slightly. Asthma-related death rates increased through the middle 1990 s but decreased after 1999. Recent data showed higher prevalence among older children (11-17 years), but the highest rates of asthma-related health care use were among the youngest children (0-4 years). After controlling for racial differences in prevalence, disparities in adverse outcomes remained; among children with asthma, non-Hispanic black children had greater risks for emergency department visits and death, compared with non-Hispanic white children. For hospitalizations, for which Hispanic ethnicity data were not available, black children had greater risk than white children. However, nonemergency ambulatory care use was lower for non-Hispanic black children. Although the large increases in childhood asthma prevalence have abated, the burden remains large. Potentially avoidable adverse outcomes and racial disparities continue to present challenges. These findings suggest the need for sustained asthma prevention and control efforts for children.


Asunto(s)
Asma/epidemiología , Asma/prevención & control , Adolescente , Distribución por Edad , Factores de Edad , Atención Ambulatoria/estadística & datos numéricos , Centers for Disease Control and Prevention, U.S. , Niño , Preescolar , Manejo de la Enfermedad , Servicio de Urgencia en Hospital/estadística & datos numéricos , Femenino , Necesidades y Demandas de Servicios de Salud , Encuestas Epidemiológicas , Disparidades en Atención de Salud , Hospitalización/estadística & datos numéricos , Hospitalización/tendencias , Humanos , Lactante , Recién Nacido , Masculino , Grupos Minoritarios , Prevalencia , Salud Pública , Grupos Raciales/estadística & datos numéricos , Medición de Riesgo , Factores de Riesgo , Factores Sexuales , Estados Unidos/epidemiología
7.
Cancer Causes Control ; 17(7): 861-9, 2006 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-16841254

RESUMEN

Cancer information and surveillance, historically conducted with manual data collection and submission, are viewed increasingly as inherently dependent on the effective application of information science. One challenge is to use information technology (IT) in a manner that improves cancer-related decision-making and ultimately the quality of care that is offered to patients with cancer. In this article we begin by envisioning a future view of IT-supported surveillance and care that can be made available for application in cancer and its management. We then ask what barriers need to be overcome and what forces are at work that may help us in our efforts to effect the necessary changes. Our future vision for surveillance and information, although appealing and widely shared, requires major cultural change, financial investment, and logistical planning. Competition in the medical marketplace, coupled with fiscal pressures affecting providers and health systems, suggests that leadership for regional and national coordination will need to come from elsewhere-and likely from governments.


Asunto(s)
Atención a la Salud/tendencias , Informática Médica/tendencias , Informática en Salud Pública/tendencias , Técnicas de Apoyo para la Decisión , Atención a la Salud/organización & administración , Atención a la Salud/normas , Humanos , Informática Médica/organización & administración , Informática Médica/normas , Informática en Salud Pública/organización & administración , Informática en Salud Pública/normas , Calidad de la Atención de Salud/organización & administración , Calidad de la Atención de Salud/normas , Calidad de la Atención de Salud/tendencias
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