Covering Kids & Families Evaluation: Lasting Legacies of Covering Kids & Families

Outlines results of a survey of Medicaid and State Children's Health Insurance Program officials in forty-six states on the impact of RWJF's initiative to increase outreach and enrollment, including grantees' strategies, effectiveness, and sustainability

Covering Kids & Families Evaluation: Sustaining the Effects of Covering Kids & Families on Policy Change

Presents results of a follow-up survey of Medicaid and State Children's Health Insurance Program officials to assess the policy and procedural changes shaped by Covering Kids & Families, RWJF's initiative to expand enrollment in these programs

Dynamics of Race, Culture and Key Indicators of Health in the Nation's 100 Largest Cities and Their Suburbs

Profiles the 2000 status of, and changes since 1990, in rates of health and health-related measures to identify patterns in race/ethnicity, foreign-born status, language use, poverty, income, low birth weight, teen births, prenatal care, and tuberculosis

Covering Kids & Families Evaluation: Public Coverage Versus No Coverage for Children: Perceptions and Experiences of Parents in Four Cities

Based on interviews, examines the perceptions and experiences that shape parents' decisions on enrolling their children in Medicaid and State Children's Health Insurance Programs. Considers remaining challenges, including language barriers

Development of an Antimicrobial Stewardship Intervention Using a Model of Actionable Feedback

We describe the development of an audit and feedback intervention to improve antibiotic prescribing in the neonatal intensive care unit (NICU) using a theoretical framework. Participants included attending physicians, neonatal fellows, pediatric residents, and nurse practitioners. The intervention was based on the “model of actionable feedback” which emphasizes that feedback should be timely, individualized, nonpunitive, and customized to be effective. We found that real-time feedback could not be provided for the parameters established in this study, as we had to collect and analyze numerous data elements to assess appropriate initiation and continuation of antibiotics and required longer intervals to examine trends in antibiotic use. We learned during focus groups that NICU clinicians strongly resisted assigning individual responsibility for antibiotic prescribing as they viewed this as a shared responsibility informed by each patient's laboratory data and clinical course. We were able to create a non-punitive atmosphere thanks to written informed consent from NICU attendings and assurance from leadership that prescribing practices would not be used to assess job performance. We provided customized, meaningful feedback integrating input from the participants. Adapting the principles of the “model of actionable feedback” to provide feedback for antimicrobial prescribing practices proved challenging in the NICU setting

Quality of Life in the Nation's 100 Largest Cities and Suburbs: New and Continuing Challenges for Improving Health and Well-Being

Examines the progress made in the largest U.S. cities and their suburbs in alleviating poverty, improving educational achievement, and reducing unemployment and violent crime from 1990 to 2000

The Changing Landscape of Hospital Capacity in Large Cities and Suburbs: Implications for the Safety Net in Metropolitan America

An analysis of trends in hospital use and capacity by ownership status and community poverty levels for large urban and suburban areas was undertaken to examine changes that may have important implications for the future of the hospital safety net in large metropolitan areas. Using data on general acute care hospitals located in the 100 largest cities and their suburbs for the years 1996, 1999, and 2002, we examined a number of measures of use and capacity, including staffed beds, admissions, outpatient and emergency department visits, trauma centers, and positron emission tomography scanners. Over the 6-year period, the number of for-profit, nonprofit, and public hospitals declined in both cities and suburbs, with public hospitals showing the largest percentage of decreases. By 2002, for-profit hospitals were responsible for more Medicaid admissions than public hospitals for the 100 largest cities combined. Public hospitals, however, maintained the longest Medicaid average length of stay. The proportion of urban hospital resources located in high poverty cities was slightly higher than the proportion of urban population living in high poverty cities. However, the results demonstrate for the first time, a highly disproportionate share of hospital resources and use among suburbs with a low poverty rate compared to suburbs with a high poverty rate. High poverty communities represented the greatest proportion of suburban population in 2000 but had the smallest proportion of hospital use and specialty care capacity, whereas the opposite was true of low poverty suburbs. The results raise questions about the effects of the expanding role of private hospitals as safety net providers, and have implications for poor residents in high poverty suburban areas, and for urban safety net hospitals that care for poor suburban residents in surrounding communities

Development of a neonatal adverse event severity scale through a Delphi consensus approach

Background: Assessment of the seriousness, expectedness and causality are necessary for any adverse event (AE) in a clinical trial. In addition, assessing AE severity helps determine the importance of the AE in the clinical setting. Standardisation of AE severity criteria could make safety information more reliable and comparable across trials. Although standardised AE severity scales have been developed in other research fields, they are not suitable for use in neonates. The development of an AE severity scale to facilitate the conduct and interpretation of neonatal clinical trials is therefore urgently needed. / Methods: A stepwise consensus process was undertaken within the International Neonatal Consortium (INC) with input from all relevant stakeholders. The consensus process included several rounds of surveys (based on a Delphi approach), face-to-face meetings and a pilot validation. / Results: Neonatal AE severity was classified by five grades (mild, moderate, severe, life threatening or death). AE severity in neonates was defined by the effect of the AE on age appropriate behaviour, basal physiological functions and care changes in response to the AE. Pilot validation of the generic criteria revealed κ=0.23 and guided further refinement. This generic scale was applied to 35 typical and common neonatal AEs resulting in the INC neonatal AE severity scale (NAESS) V.1.0, which is now publicly available. / Discussion: The INC NAESS is an ongoing effort that will be continuously updated. Future perspectives include further validation and the development of a training module for users

Development of a neonatal adverse event severity scale through a Delphi consensus approach

BACKGROUND: Assessment of the seriousness, expectedness and causality are necessary for any adverse event (AE) in a clinical trial. In addition, assessing AE severity helps determine the importance of the AE in the clinical setting. Standardisation of AE severity criteria could make safety information more reliable and comparable across trials. Although standardised AE severity scales have been developed in other research fields, they are not suitable for use in neonates. The development of an AE severity scale to facilitate the conduct and interpretation of neonatal clinical trials is therefore urgently needed. METHODS: A stepwise consensus process was undertaken within the International Neonatal Consortium (INC) with input from all relevant stakeholders. The consensus process included several rounds of surveys (based on a Delphi approach), face-to-face meetings and a pilot validation. RESULTS: Neonatal AE severity was classified by five grades (mild, moderate, severe, life threatening or death). AE severity in neonates was defined by the effect of the AE on age appropriate behaviour, basal physiological functions and care changes in response to the AE. Pilot validation of the generic criteria revealed κ=0.23 and guided further refinement. This generic scale was applied to 35 typical and common neonatal AEs resulting in the INC neonatal AE severity scale (NAESS) V.1.0, which is now publicly available. DISCUSSION: The INC NAESS is an ongoing effort that will be continuously updated. Future perspectives include further validation and the development of a training module for users.status: publishe