Michelle L. Mayer

Are We There Yet? Distance to Care and Relative Supply Among Pediatric Medical Subspecialties

OBJECTIVE. The objective of this study was to describe geographic proximity, quantify variation in supply, and estimate pediatric population increments that are needed to support providers across pediatric subspecialties. METHODS. Data from the American Board of Pediatrics and the Claritas Pop-Facts Database were used to calculate subspecialty-specific straight-line distances between each zip code and the nearest board-certified subspecialist. These data sources also were used to estimate the percentage of hospital referral regions with providers and calculate physician-to-population ratios for each of 16 pediatric medical subspecialties. Coefficients of variation for the ratios were used to assess intraspecialty variation in supply across markets. Estimates of the pediatric population that is needed to support an initial or additional physician in a market were generated using subspecialty-specific ordered logit analyses. RESULTS. The population-weighted average distance to a subspecialist ranged from 15 miles for neonatology to 78 miles for pediatric sports medicine. For most pediatric subspecialties, more than two thirds of children live within 40 miles of a certified physician. For 7 of 16 of pediatric subspecialties, fewer than one half of hospital referral regions have a provider. Coefficients of variation vary across subspecialties and are lowest for neonatology at 76% and greatest for pediatric sports medicine at 287%. Pediatric population thresholds likewise vary with a tendency toward lower thresholds for procedural specialties, such as cardiology and critical care medicine. CONCLUSIONS. The practice locations of pediatric subspecialists parallel the geographic distribution of children in the United States, yet many hospital referral regions lack pediatric subspecialists and coefficients of variation vary widely across subspecialties. These findings suggest that either the supply of pediatric subspecialists is inadequate, pediatric subspecialists are distributed inequitably, or the market for pediatric subspecialists is larger than the hospital referral regions. Furthermore, population thresholds for many cognitive pediatric subspecialties are high; the extent to which high thresholds reflect low disease prevalence versus other factors, such as inadequate reimbursement, is not established.

Unmet Need for Therapy Services, Assistive Devices, and Related Services: Data From the National Survey of Children With Special Health Care Needs

OBJECTIVE To estimate the prevalence of unmet needs for therapy services, vision and hearing care or aids, mobility aids, and communication aids and to investigate the association between predisposing, enabling, need, and environmental factors and unmet needs. METHODS Using the National Survey of Children with Special Health Care Needs, we generated national prevalence estimates and performed bivariate and logistic analyses, accounting for the complex survey design. RESULTS Nationally, the prevalence of unmet needs ranged from 5.8% among children with special health care needs (CSHCN) with a reported need for vision care or glasses to 24.7% among CSHCN with a reported need for communication aids. In logit analyses, CSHCN without insurance coverage were significantly more likely to have a reported unmet need for therapy services (adjusted odds ratio [OR]: 2.08, confidence interval [CI]: 1.39-3.12), vision care or glasses (OR: 3.94, CI: 2.64-5.86), and mobility aids (OR: 5.17, CI: 1.86-14.37). Children in families at or below 100% of the federal poverty level were significantly more likely to have a reported unmet need for vision care or glasses (OR: 4.51, CI: 2.86-7.12) and hearing aids or hearing care (OR: 3.61, CI: 1.70-7.65). For each of the services studied, more-severely limited children were significantly more likely to have an unmet need reported. CONCLUSION Our findings demonstrate that a minority of CSHCN have unmet needs for therapy services, assistive devices, and related services. Parents of children with more-severe ability limitations were more likely to report having unmet needs. Our findings highlight the importance of insurance coverage in ensuring access to therapy services, assistive devices, and related services.

Effects of insurance status on children's access to specialty care: a systematic review of the literature

BackgroundThe current climate of rising health care costs has led many health insurance programs to limit benefits, which may be problematic for children needing specialty care. Findings from pediatric primary care may not transfer to pediatric specialty care because pediatric specialists are often located in academic medical centers where institutional rules determine accepted insurance. Furthermore, coverage for pediatric specialty care may vary more widely due to systematic differences in inclusion on preferred provider lists, lack of availability in staff model HMOs, and requirements for referral. Our objective was to review the literature on the effects of insurance status on childrens access to specialty care.MethodsWe conducted a systematic review of original research published between January 1, 1992 and July 31, 2006. Searches were performed using Pubmed.ResultsOf 30 articles identified, the majority use number of specialty visits or referrals to measure access. Uninsured children have poorer access to specialty care than insured children. Children with public coverage have better access to specialty care than uninsured children, but poorer access compared to privately insured children. Findings on the effects of managed care are mixed.ConclusionInsurance coverage is clearly an important factor in childrens access to specialty care. However, we cannot determine the structure of insurance that leads to the best use of appropriate, quality care by children. Research about specific characteristics of health plans and effects on health outcomes is needed to determine a structure of insurance coverage that provides optimal access to specialty care for children.

Health Status and Health Care Expenditures in a Nationally Representative Sample: How Do Overweight and Healthy-Weight Children Compare?

OBJECTIVE. Childhood overweight is epidemic in the United States. Although limited, previous studies suggest that overweight children have chronic health problems. A more complete understanding of the effect of overweight on childrens health requires a nationally representative, population-based sample. Our objective was to examine whether overweight children have (1) more chronic conditions, (2) poorer health, and (3) greater health care expenditures than healthy-weight children. PATIENTS AND METHODS. This was a cross-sectional study of children aged 6 to 17 years participating in 1 of 2 nationally representative surveys of civilian, noninstitutionalized Americans, the 2001–2002 National Health and Nutrition Examination Survey and 2002 Medical Expenditure Panel Survey. The main outcome measures were prevalence of dyslipidemia, hyperglycemia, and hypertension; self-reported health status; and health care expenditures. RESULTS. Overweight children, compared with healthy-weight children, have significantly increased risk for high total cholesterol levels (15.7% vs 7.2%), high low-density lipoprotein (11.4% vs 7.7%) or borderline low-density lipoprotein cholesterol levels (20.2% vs 12.5%), low high-density lipoprotein cholesterol levels (15.5% vs 3.0%), high triglyceride levels (6.7% vs 2.1%), high fasting glucose levels (2.9% vs 0.0%), high glycohemoglobin levels (3.7% vs 0.5%), and high systolic blood pressure (9.0% vs 1.6%). Overweight children, compared with healthy-weight children, demonstrate significantly lower prevalence of excellent health (National Health and Nutrition Examination Survey: 36.5% vs 53.3%; Medical Expenditure Panel Survey: 42.8% vs 55.6%). These differences persist in multiple regression models that control for potential confounders. In adjusted analyses, expenditures were comparable between overweight and healthy-weight children. CONCLUSIONS. Our data demonstrate that overweight children have more chronic conditions and poorer health but have health care expenditures that are no greater than those for healthy-weight children. Addressing the health care needs of overweight children may prevent the development of chronic conditions and improve health status. These findings demonstrate the need to more thoroughly consider whether (1) overweight children have appropriate access to care, (2) physicians fully recognize the impact of overweight, and (3) physicians have resources to address overweight.

Effectiveness of a multicomponent self-management program in at-risk, school-aged children with asthma.

BACKGROUND Improving asthma knowledge and self-management is a common focus of asthma educational programs, but most programs have had little influence on morbidity outcomes. We developed a novel multiple-component intervention that included the use of an asthma education video game intended to promote adoption of asthma self-management behaviors and appropriate asthma care. OBJECTIVE To determine the effectiveness of an asthma education video game in reducing morbidity among high-risk, school-aged children with asthma. METHODS We enrolled 119 children aged 5 to 12 years from low-income, urban areas in and around San Francisco, CA, and San Jose, CA. Children with moderate-to-severe asthma and parental reports of significant asthma health care utilization were randomized to participate in the disease management intervention or to receive their usual care (control group). Patients were evaluated for clinical and quality-of-life outcomes at weeks 8, 32, and 52 of the study. RESULTS Compared with controls, the intervention group had significant improvements in the physical domain (P = .04 and P = .01 at 32 and 52 weeks, respectively) and social activity domain (P = .02 and P = .05 at 32 and 52 weeks, respectively) of asthma quality of life on the Child Health Survey for Asthma and child (P = .02 at 8 weeks) and parent (P = .04 and .004 at 32 and 52 weeks, respectively) asthma self-management knowledge. There were no significant differences between groups on clinical outcome variables. CONCLUSIONS A multicomponent educational, behavioral, and medical intervention targeted at high-risk, inner-city children with asthma can improve asthma knowledge and quality of life.

Using BMI to Determine Cardiovascular Risk in Childhood: How Do the BMI Cutoffs Fare?

OBJECTIVE: Although adverse health outcomes are increased among children with BMI above the 85th (overweight) and 95th (obese) percentiles, previous studies have not clearly defined the BMI percentile at which adverse health outcomes begin to increase. We examined whether the existing BMI percentile cutoffs are optimal for defining increased risk for dyslipidemia, dysglycemia, and hypertension. METHODS: This was a cross-sectional analysis of the National Health and Nutrition Examination Survey from 2001 to 2006. Studied were 8216 children aged 6 to 17 years, representative of the US population. BMI was calculated by using measured height and weight and converted to percentiles for age in months and gender. Outcome measures (dyslipidemia, dysglycemia, and hypertension) were based on laboratory and physical examination results; these were analyzed as both continuous and categorical outcomes. RESULTS: Significant increases for total cholesterol values and prevalence of abnormal cholesterol begin at the 80th percentile. Significant increases in glycohemoglobin values and prevalence of abnormal values begin at the 99th percentile. Consistent significant increases in the prevalence of high or borderline systolic blood pressure begin at the 90th percentile. CONCLUSIONS: Intervening for overweight children and their health requires clinical interventions that target the right children. On the basis of our data, a judicious approach to screening could include consideration of lipid screening for children beginning at the 80th percentile but for dysglycemia at the 99th percentile. Current definitions of overweight and obese may be more useful for general recognition of potential health problems and discussions with parents and children about the need to address childhood obesity.

Effect of an Evidence-Based Hand Washing Policy on Hand Washing Rates and False-Positive Coagulase Negative Staphylococcus Blood and Cerebrospinal Fluid Culture Rates in a Level III NICU

OBJECTIVE: To determine the effect of implementing an evidence-based hand washing policy on between-patient hand washing compliance and on blood and cerebrospinal fluid (CSF) culture rates in a level III neonatal intensive care unit (NICU).METHODS: An evidence-based hand washing policy, supported by an intensive education program, was introduced in a regional NICU. A total of 2009 preintervention neonates (16,168 patient days) over 17 months were compared to 676 postintervention neonates (5779 patient days) over 6 months. Hand washing compliance and rates of blood and CSF cultures yielding coagulase negative staphylococci (CONS) were compared before and after intervention.RESULTS: Compliance with appropriate between-patient hand washing improved (from 47.4% to 85.4%, p=0.001) after the hand washing policy was introduced. The rate of cultures positive for CONS declined from 6.1±2.3 to 3.2±1.6 per 1000 patient days (p=0.005). Most of this reduction was attributable to a reduction in false-positive cultures, from 4.2±2.4 to 1.9±1.8 per 1000 patient days (p=0.042), but there was a trend toward decreased true-positive cultures (from 2.1±1.2 to 1.2±1.0 per 1000 patient days, p=0.074) as well. Potential confounders and demographics factors were similar between the control and intervention subjects.CONCLUSION: Implementation of an evidence-based hand washing policy resulted in a significant increase in hand washing compliance and a significant decrease in false-positive coagulase negative staphylococcal blood and CSF culture rates. Exploratory data analysis revealed a possible effect on true-positive coagulase negative staphylococcal blood and CSF culture rates, but these results need to be confirmed in future studies.

Disparities in Geographic Access to Pediatric Subspecialty Care

Purpose: To identify correlates of geographic access to pediatric medical subspecialists in the United States and identify characteristics of populations at risk for poor geographic access. Methods: Geographic access was operationalized as distance to care. Using data from the American Board of Pediatrics and the Claritas’ Pop-Facts Database, the straight-line distance between each zip code in the United States and the nearest subspecialist was calculated for each pediatric subspecialty using zip code centroids. Using 16 specialty-specific, random-effects multiple regression models, zip code characteristics associated with being farther from a subspecialty provider were identified. Results: Under-18 population, metropolitan status, and presence of a nearby teaching facility were associated with shorter distances to care across pediatric subspecialties. The proportion of the population below the federal poverty level was positively associated with greater distances to care. Zip codes in the Mountain and West North Central regions, likewise, were significantly farther from pediatric subspecialists, even when statistically controlling for other factors. Conclusions: Pediatric populations at risk for poor geographic access to pediatric subspecialty care include those who reside in zip codes with high concentrations of poverty, in rural and small metropolitan areas, and in the Mountain and West North Central regions. The extent to which these distances create barriers to receipt of care is not established.

The Effects of Rural Residence and Other Social Vulnerabilities on Subjective Measures of Unmet Need

To determine whether self-reports of unmet need are biased measures of access to health care, the authors examine the relationship between rural residence and perceived need for physician services. They perform logistic regression analyses to examine the likelihood of reporting a need for routine preventive care and/or specialty care using data from the National Survey of Children with Special Health Care Needs. Even after controlling for factors known to be associated with evaluated need, parents of rural children were less likely to report a need for routine or specialty services. Poor children, those whose mothers had less education, and those who were uninsured in the previous year were also less likely to perceive a need for physician services. Findings suggest that rural residence and other social vulnerabilities are associated with decreased perception of need, which may bias subjective measurements of unmet need for these populations.

Distance to care and relative supply among pediatric surgical subspecialties

BACKGROUND/PURPOSE The aim of this study is to describe geographic proximity to and quantify relative supply of 7 pediatric surgical specialties in the United States. METHODS Data from the 2005 American Medical Association Physician Masterfile and the Claritas Pop-Facts Database were used to calculate subspecialty-specific, population-weighted, straight-line distances between each zip code centroid and the nearest provider. These same data sources were used to calculate the percentage of hospital referral regions with a provider, the percentage of the younger than 18 years population living within selected distances of providers, and provider-to-population ratios for each of the pediatric surgical subspecialties. Further, we calculated the correlation between practice locations and childrens hospitals offering pediatric surgical services. RESULTS Across pediatric surgical specialties, average distances to the nearest provider ranged from 27.1 miles for pediatric surgery to 100.9 miles for pediatric cardiothoracic surgery. The average population-weighted distance to a provider was less than 30 miles for pediatric surgery and pediatric ophthalmology only. For 5 of the 7 pediatric surgical specialties studied, approximately one quarter of the younger than 18 years population lives more than 1-hour drive from a provider. Provider-to-younger than 18 years population ratios range across hospital referral region from 0.04 per 100,000 for pediatric cardiothoracic surgery to 0.97 per 100,000 for pediatric surgery. The correlation between pediatric surgeons and childrens hospitals offering services was 0.72. CONCLUSIONS Although the practice locations of pediatric surgical subspecialties parallel the geographic distribution of children in the United States, large percentages of the younger than 18 years population must travel long distance to receive care from these providers. Large coefficients of variation reveal substantial maldistribution. These findings lay the groundwork for workforce assessments of the pediatric surgical subspecialties and underscore the need for future studies that assess access barriers for children in need of surgical care.