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Geographic maldistribution of primary care for children.

ABSTRACT: This study examines growth in the primary care physician workforce for children and examines the geographic distribution of the workforce.National data were used to calculate the local per-capita supply of clinically active general pediatricians and family physicians, measured at the level of primary care service areas.Between 1996 and 2006, the general pediatrician and family physician workforces expanded by 51% and 35%, respectively, whereas the child population increased by only 9%. The 2006 per-capita supply varied by >600% across local primary care markets. Nearly 15 million children (20% of the US child population) lived in local markets with <710 children per child physician (average of 141 child physicians per 100 000 children), whereas another 15 million lived in areas with >4400 children per child physician (average of 22 child physicians per 100 000 children). In addition, almost 1 million children lived in areas with no local child physician. Nearly all 50 states had evidence of similar extremes of physician maldistribution.Undirected growth of the aggregate child physician workforce has resulted in profound maldistribution of physician resources. Accountability for public funding of physician training should include efforts to develop, to use, and to evaluate policies aimed at reducing disparities in geographic access to primary care physicians for children.

SUBMITTER: Shipman SA

PROVIDER: S-EPMC3010089 | biostudies-other | 2011 Jan

REPOSITORIES: biostudies-other

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Geographic maldistribution of primary care for children.

Shipman Scott A SA Lan Jia J Chang Chiang-Hua CH Goodman David C DC

Pediatrics 20101220 1

<h4>Objectives</h4>This study examines growth in the primary care physician workforce for children and examines the geographic distribution of the workforce.<h4>Methods</h4>National data were used to calculate the local per-capita supply of clinically active general pediatricians and family physicians, measured at the level of primary care service areas.<h4>Results</h4>Between 1996 and 2006, the general pediatrician and family physician workforces expanded by 51% and 35%, respectively, whereas t ...[more]

PMID: 21172992

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Project description:BackgroundThe Health Resources and Services Administration (HRSA), an agency within the U.S. Department of Health and Human Services (HHS), works to ensure accessible, quality, health care for the nation's underserved populations, especially those who are medically, economically, or geographically vulnerable. HRSA-designated primary care Health Professional Shortage Areas (pcHPSAs) provide a vital measure by which to identify underserved populations and prioritize locations and populations lacking access to adequate primary and preventive health care-the foundation for advancing health equity and maintaining health and wellness for individuals and populations. However, access to care is a complex, multifactorial issue that involves more than just the number of health care providers available, and pcHPSAs alone cannot fully characterize the distribution of medically, economically, and geographically vulnerable populations.Methods and findingsIn this county-level analysis, we used descriptive statistics and multiple correspondence analysis to assess how HRSA's pcHPSA designations align geographically with other established markers of medical, economic, and geographic vulnerability. Reflecting recognized social determinants of health (SDOH), markers included demographic characteristics, race and ethnicity, rates of low birth weight births, median household income, poverty, educational attainment, and rurality. Nationally, 96 percent of U.S. counties were either classified as whole county or partial county pcHPSAs or had one or more established markers of medical, economic, or geographic vulnerability in 2017, suggesting that at-risk populations were nearly ubiquitous throughout the nation. Primary care HPSA counties in HHS Regions 4 and 6 (largely lying within the southeastern and south central United States) had the most pervasive and complex patterns in population risk.ConclusionHHS Regions displayed unique signatures with respect to SDOH markers. Descriptive and analytic findings from our work may help inform health workforce and health care planning at all levels, and, by illustrating both the complexity of and differences in county-level population characteristics in pcHPSA counties, our findings may have relevance for strengthening the delivery of primary care and addressing social determinants of health in areas beset by provider shortages.

Project description:BACKGROUND AND OBJECTIVES:Pediatric CKD management focuses on limiting kidney injury, including avoiding nephrotoxic medications. Nephrotoxic medication prescription practices for children with CKD are unknown. Our objective was to determine the prevalence and rates of primary care prescriptions for potentially nephrotoxic medications in children with CKD versus without CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS:We conducted a retrospective, matched population-based cohort study of patients aged <18 years, registered at a general practice participating in the UK Clinical Practice Research Datalink (CPRD) from 1997 to 2017. Children with a clinical code indicating an incident diagnosis of CKD were matched 1:4 to patients without CKD on CKD diagnosis date, sex, age, CPRD practice, and number of general practitioner visits in the year before cohort entry. We calculated the prevalence and the rate of potentially nephrotoxic medication prescriptions throughout the follow-up period in patients with versus without CKD. Primary analyses included the following medication classes: aminoglycosides, antivirals, nonsteroidal anti-inflammatory drugs, salicylates, proton pump inhibitors, and immunomodulators. Secondary analyses used an expanded nephrotoxicity definition that also included, among others, angiotensin-converting enzyme inhibitors and angiotensin receptor blockers. Adjusted prescription rates were calculated using multivariable binomial regression. RESULTS:From 1,535,816 eligible patients, we identified 1018 incident CKD and 4072 non-CKD matches (mean age, 9.8 years [range, 1.1-17.9 years]; 52% male; mean follow-up time, 3.3 years). Overall, 26% of patients with and 15% of patients without CKD were prescribed one or more potentially nephrotoxic medication during follow-up. The overall rate of nephrotoxic medication prescriptions was 71 (95% confidence interval [95% CI], 55 to 93) prescriptions per 100 person-years in patients with CKD and eight (95% CI, 7 to 9) prescriptions per 100 person-years in patients without CKD (adjusted rate ratio, 4.1; 95% CI, 2.7 to 6.1). CONCLUSIONS:Potentially nephrotoxic medications are prescribed at high rates to children with CKD.

Project description:Background. Malaria control, and finally malaria elimination, requires the identification and targeting of residual foci or hotspots of transmission. However, the level of parasite mixing within and between geographical locations is likely to impact the effectiveness and durability of control interventions and thus should be taken into consideration when developing control programs. Methods. In order to determine the geographic-genetic patterns of Plasmodium falciparum parasite populations at a sub-national level in Kenya, we used the Sequenom platform to genotype 111 genome-wide distributed single nucleotide polymorphic (SNP) positions in 2486 isolates collected from children in 95 primary schools in western Kenya. We analysed these parasite genotypes for genetic structure using principal component analysis and assessed local and global clustering using statistical measures of spatial autocorrelation. We further examined the region for spatial barriers to parasite movement as well as directionality in the patterns of parasite movement. Results. We found no evidence of population structure and little evidence of spatial autocorrelation of parasite genotypes (correlation coefficients <0.03 among parasite pairs in distance classes of 1km, 2km and 5km; p value<0.01). An analysis of the geographical distribution of allele frequencies showed weak evidence of variation in distribution of alleles, with clusters representing a higher than expected number of samples with the major allele being identified for 5 SNPs. Furthermore, we found no evidence of the existence of spatial barriers to parasite movement within the region, but observed directional movement of parasites among schools in two separate sections of the region studied. Conclusions. Our findings illustrate a pattern of high parasite mixing within the study region. If this mixing is due to rapid gene flow, then "one-off" targeted interventions may not be currently effective at the sub-national scale in Western Kenya, due to the high parasite movement that is likely to lead to re-introduction of infection from surrounding regions. However repeated targeted interventions may reduce transmission in the surrounding regions.

Dataset Information

Geographic maldistribution of primary care for children.

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Geographic maldistribution of primary care for children.

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