John M. Neff

Family-Centered Care: Current Applications and Future Directions in Pediatric Health Care

Family-centered care (FCC) is a partnership approach to health care decision-making between the family and health care provider. FCC is considered the standard of pediatric health care by many clinical practices, hospitals, and health care groups. Despite widespread endorsement, FCC continues to be insufficiently implemented into clinical practice. In this paper we enumerate the core principles of FCC in pediatric health care, describe recent advances applying FCC principles to clinical practice, and propose an agenda for practitioners, hospitals, and health care groups to translate FCC into improved health outcomes, health care delivery, and health care system transformation.

Complications of Smallpox Vaccination

ALTHOUGH vaccination against smallpox has been practiced in the United States since 1800, little is known in this country regarding the frequency of resulting complications. Greenbergs1 review of ...

Hospital utilization and characteristics of patients experiencing recurrent readmissions within children's hospitals.

CONTEXT Early hospital readmission is emerging as an indicator of care quality. Some children with chronic illnesses may be readmitted on a recurrent basis, but there are limited data describing their rehospitalization patterns and impact. OBJECTIVES To describe the inpatient resource utilization, clinical characteristics, and admission reasons of patients recurrently readmitted to childrens hospitals. DESIGN, SETTING, AND PATIENTS Retrospective cohort analysis of 317,643 patients (n = 579,504 admissions) admitted to 37 US childrens hospitals in 2003 with follow-up through 2008. MAIN OUTCOME MEASURE Maximum number of readmissions experienced by each child within any 365-day interval during the 5-year follow-up period. RESULTS In the sample, 69,294 patients (21.8%) experienced at least 1 readmission within 365 days of a prior admission. Within a 365-day interval, 9237 patients (2.9%) experienced 4 or more readmissions; time between admissions was a median 37 days (interquartile range [IQR], 21-63). These patients accounted for 18.8% (109,155 admissions) of all admissions and 23.2% (

Smallpox Vaccination: A Review, Part II. Adverse Events

3.4 billion) of total inpatient charges for the study cohort during the entire follow-up period. Tests for trend indicated that as the number of readmissions increased from 0 to 4 or more, the prevalences increased for a complex chronic condition (from 22.3% [n = 55,382/248,349] to 89.0% [n = 8225/9237]; P < .001), technology assistance (from 5.3% [n = 13,163] to 52.6% [n = 4859]; P < .001), public insurance use (from 40.9% [n = 101,575] to 56.3% [n = 5202]; P < .001), and non-Hispanic black race (from 21.8% [n = 54,140] to 34.4% [n = 3181]; P < .001); and the prevalence decreased for readmissions associated with an ambulatory care-sensitive condition (from 23.1% [62,847/272,065] to 14.0% [15,282/109,155], P < .001). Of patients readmitted 4 or more times in a 365-day interval, 2633 (28.5%) were rehospitalized for a problem in the same organ system across all admissions during the interval. CONCLUSIONS Among a group of pediatric hospitals, 18.8% of admissions and 23.2% of inpatient charges were accounted for by the 2.9% of patients with frequent recurrent admissions. Many of these patients were rehospitalized recurrently for a problem in the same organ system.

Clinical Risk Groups (CRGs): A classification system for risk-adjusted capitation-based payment and health care management

Smallpox vaccination of health care workers, military personnel, and some first responders has begun in the United States in 2002-2003 as one aspect of biopreparedness. Full understanding of the spectrum of adverse events and of their cause, frequency, identification, prevention, and treatment is imperative. This article describes known and suspected adverse events occurring after smallpox vaccination.

Inpatient Growth and Resource Use in 28 Children's Hospitals: A Longitudinal, Multi-institutional Study

ObjectiveTo develop Clinical Risk Groups (CRGs), a claims-based classification system for risk adjustment that assigns each individual to a single mutually exclusive risk group based on historical clinical and demographic characteristics to predict future use of healthcare resources. Study Design/Data SourcesWe developed CRGs through a highly iterative process of extensive clinical hypothesis generation followed by evaluation and verification with computerized claims-based databases containing inpatient and ambulatory information from 3 sources: a 5% sample of Medicare enrollees for years 1991–1994, a privately insured population enrolled during the same time period, and a Medicaid population with 2 years of data. ResultsWe created a system of 269 hierarchically ranked, mutually exclusive base-risk groups (Base CRGs) based on the presence of chronic diseases and combinations of chronic diseases. We subdivided Base CRGs by levels of severity of illness to yield a total of 1075 groups. We evaluated the predictive performance of the full CRG model with R2 calculations and obtained values of 11.88 for a Medicare validation data set without adjusting predicted payments for persons who died in the prediction year, and 10.88 with a death adjustment. A concurrent analysis, using diagnostic information from the same year as expenditures, yielded an R2 of 42.75 for 1994. ConclusionCRGs performance is comparable to other risk adjustment systems. CRGs have the potential to provide risk adjustment for capitated payment systems and management systems that support care pathways and case management.

Comparison of the Children With Special Health Care Needs Screener to the Questionnaire for Identifying Children With Chronic Conditions—Revised

OBJECTIVE To compare inpatient resource use trends for healthy children and children with chronic health conditions of varying degrees of medical complexity. DESIGN Retrospective cohort analysis. SETTING Twenty-eight US childrens hospitals. PATIENTS A total of 1 526 051 unique patients hospitalized from January 1, 2004, through December 31, 2009, who were assigned to 1 of 5 chronic condition groups using 3Ms Clinical Risk Group software. INTERVENTION None. MAIN OUTCOME MEASURES Trends in the number of patients, hospitalizations, hospital days, and charges analyzed with linear regression. RESULTS Between 2004 and 2009, hospitals experienced a greater increase in the number of children hospitalized with vs without a chronic condition (19.2% vs 13.7% cumulative increase, P < .001). The greatest cumulative increase (32.5%) was attributable to children with a significant chronic condition affecting 2 or more body systems, who accounted for 19.2% (n = 63 203) of patients, 27.2% (n = 111 685) of hospital discharges, 48.9% (n = 1.1 million) of hospital days, and 53.2% (

Identifying and Classifying Children With Chronic Conditions Using Administrative Data With the Clinical Risk Group Classification System

9.2 billion) of hospital charges in 2009. These children had a higher percentage of Medicaid use (56.5% vs 49.7%; P < .001) compared with children without a chronic condition. Cerebral palsy (9179 [14.6%]) and asthma (13 708 [21.8%]) were the most common primary diagnosis and comorbidity, respectively, observed among these patients. CONCLUSIONS Patients with a chronic condition increasingly used more resources in a group of childrens hospitals than patients without a chronic condition. The greatest growth was observed in hospitalized children with chronic conditions affecting 2 or more body systems. Childrens hospitals must ensure that their inpatient care systems and payment structures are equipped to meet the protean needs of this important population of children.

Children With Medical Complexity And Medicaid: Spending And Cost Savings

BACKGROUND The Children with Special Health Care Needs (CSHCN) Screener is an instrument to identify CSHCN, one that is based on parent-reported consequences experienced by children with ongoing health conditions. Information about how this instrument compares to other methods for identifying CSHCN is important for current and future uses of the CSHCN Screener. RESEARCH OBJECTIVES The goal of this study was to assess the level of agreement between the CSHCN Screener and the Questionnaire for Identifying Children With Chronic Conditions--Revised (QuICCC-R) and to describe the characteristics of children in whom these methods do not agree. METHODS The CSHCN Screener and the QuICCC-R were administered to 2 samples: a random sample of parents of children under age 18 years through the first pretest of the National CSHCN Survey (n = 2420) and a random sample of children under age 14 years enrolled in a managed care health plan (n = 497). Information on specific conditions and needs for health services were collected for children identified by one or both instruments in the national sample. Data from the administrative data-based Clinical Risk Groups (CRGs) were collected for all children in the health plan sample. The proportions of children identified with the CSHCN Screener and the QuICCC-R were compared, the level of agreement between these 2 methods was assessed, and the health service needs of children identified by the QuICCC-R but not the CSHCN Screener were evaluated. RESULTS In both study samples, the CSHCN Screener agreed with the QuICCC-R approximately 9 out of 10 times on whether or not a child was identified as having a special health care need. Compared to the CSHCN Screener, the QuICCC-R identified an additional 7.6% and 8.5% of children as having special health care needs in the national and health plan samples, respectively. Compared to children identified by the QuICCC-R only, the odds were 12 times greater that children identified by both the CSHCN Screener and the QuICCC-R needed health care services, 6 times greater that parents named a specific chronic health condition, and 9 times greater that children were identified with a chronic condition using the CRG algorithm. Study design and purposeful differences in question design or content account for most cases in which children are not identified by the CSHCN Screener but are identified using the QuICCC-R. CONCLUSIONS The brief CSHCN Screener exhibits a high level of agreement with the longer QuICCC-R instrument. Whereas nearly all children identified by the CSHCN Screener are also identified by the QuICCC-R, the QuICCC-R classifies a higher proportion of children as having special health care needs.

Smallpox Vaccination: A Review, Part I. Background, Vaccination Technique, Normal Vaccination and Revaccination, and Expected Normal Reactions

OBJECTIVE To identify and categorize children with chronic health conditions using administrative data. METHODS The Clinical Risk Groups (CRGs) system is used to classify children, aged 0-18 years, in a mid-sized health plan into mutually exclusive categories and severity groups. Enrollees are categorized into 9 health status groups--healthy, significant acute, and 7 chronic conditions--and are then stratified by severity. Utilization is examined by category and severity level based on eligibility and claims files for calendar year 1999. Only children enrolled for at least 6 months (newborns at least 3 months) are included. RESULTS This analysis of 34544 children classifies 85.2% as healthy, including 19.6% with no claims; 5.2% with a significant acute illness; 4.6% with a minor chronic condition; and 4.9% with a moderate to catastrophic chronic condition. The average number of unique medical care encounters per child increases by chronic condition category and by severity level. Compared to national prevalence norms for selected conditions, CRGs do well in identifying patients who have conditions that require interaction with the health care system. CONCLUSIONS CRGs are a useful tool for identifying, classifying, and stratifying children with chronic health conditions. Enrollees can be grouped into categories for patient tracking, case management, and utilization.