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1. Case Ascertainment of Sickle Cell Disease Using Surveillance or Single Administrative Database... 2024

   https://ncsu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ba9swFBZr-zIYYzc2r13RYDBYcGdJji0_lnRlDxu7NHvZi5EVeTGMuLhJ_1n_386R5FvSQcdeTLCE7Oh8PjoX6TuEvJGKyyIqdBjHQoRxpstQKZGFBtyPQk-5EoXZCubctGdhbt3F_v6_RQv3QLh4VPYfxNsNCjfgNwgZriBmuN5J0DOF3CJXepzbv6gwZzuZYWjuzCVhJm57wMWmuTZYawg_6bqBnqtfv82IRRc3E6m1whVuYoc_MzBjVR_b89bs1wFH9rJLPyD1E_gPgxjDd2OunTqyAejJp5MOTXVTYTkW21ZfLqtulfi5rDc2WmuqPs21wVDwytEi9PuJfNCCx_2urUG27Pa4JBaXE1PHY3pinFbG42Hg2qUjte1IkDw--UAJM7-Eu_WcuSLKu0uFTVbj44RjqWNJEru6FVsM3L53vtN3jxzwNJOgXg9Ozz9_-dGbAJx5tmf3X3w63TJ9bQ8yNoh2vJzRDkNr9MwfkYfeW6GnDnWPyT2zekIeuCml7gTbU1IjROgIgbQuqUMgRQRSj0BqEUiHCKR1Qx0C6RiBtEUgtcMPEPiMzM8_zGcfQ1_HI9SCR-swEciBlMSKLcpYGl1GUulUiBLJ5rhJCpOAXcmmhQTvWU4TCU4L1zIqJU-hv3hBaKRktCgzli0ErDqlBhvKsCIuIw0uMUuTgLxrJzG_dDQtOWuZ7LdnPCBH7TTn_kO-yjm084yJNArI664ZdC0m0NTK1BvoI1mC9R-ECMhzJ57uabbaE2AtIG9RXv3Af32Nl3fueUju9x_REdlfNxvziuyjejwme-n827EH4B-UFKuC

   Reeves, Sarah L.; Horiuchi, Sophia; Zhou, Mei; Paulukonis, Susan...

   Public Health Reports (1974), Vol. 139, Issue 2, pp. 187 - 194.

   Objective: In the absence of access to surveillance system data, single-source administrative databases are often used to study health care utilization and health outcomes among people with sickle ... Read more

   Objective: In the absence of access to surveillance system data, single-source administrative databases are often used to study health care utilization and health outcomes among people with sickle cell disease (SCD). We compared the case definitions from single-source administrative databases with a surveillance case definition to identify people with SCD. Materials and Methods: We used data from Sickle Cell Data Collection programs in California and Georgia (2016-2018). The surveillance case definition for SCD developed for the Sickle Cell Data Collection programs uses multiple databases, including newborn screening, discharge databases, state Medicaid programs, vital records, and clinic data. Case definitions for SCD in single-source administrative databases varied by database (Medicaid and discharge) and years of data (1, 2, and 3 years). We calculated the proportion of people meeting the surveillance case definition for SCD that was captured by each single administrative database case definition for SCD, by birth cohort, sex, and Medicaid enrollment. Results: In California, 7117 people met the surveillance case definition of SCD from 2016 through 2018; 48% of this group was captured by the Medicaid case definition and 41% by the discharge case definition. In Georgia, 10 448 people met the surveillance case definition of SCD from 2016 through 2018; 45% of this group was captured by the Medicaid case definition and 51% by the discharge case definition. These proportions differed by years of data, birth cohort, and length of Medicaid enrollment. Practice Implications: The surveillance case definition identified twice as many people with SCD as the single-source administrative database definitions during the same period, but trade-offs exist in using single administrative databases for decisions on policy and program expansion for SCD. Read less

   Journal Article  |  Full Text Online

2. High Risk Behaviors but Low Injury-Related Mortality Among Hispanic Teens in Missouri 2016

   https://ncsu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwEB4VTpVQVSjQFLoyEkLiEDbx5HlEqAgkVipoOa_8ipq2GxC7q_59ZpxkYYFeuMaW7Yw9nvnG8wA4LJQsdKRNmCSIYVKaKlQKy9AR_NAmlQq1WzXmQNrHwninfaPrk-bv9KSpf3nfyvupGfZ-YsOfozO2ZBYYDddgLcekh-j99SvjLtMuhkjo5-lt0hcu40_8VEaSkivZyIJ1ChmviKXWM_EtnfO162Tv_yU7kXT-GT51uqQ4bde8CR9cswUbrSFOtPFFX-CWPTnETT37I7pciA8zoRdzcXX3T1w2v4mmofeIc1aMvC5Oerk45RpE4qKm-6ahwcaMdkXdiBHtE5vtt-H2_Mf47CLsaimEJsVsThugo1RWqbJO5s4Do9wqYj6jS6tjHVsCejK1pY11Qh_zxFbSqQI1WpQO8SuISBWRrcq4tEisXxkSZI56V5EhXBLnWQDHPQ0n922ujEncpxN_QfoAdjyRlx1lhlwcsAhgv6f6pGOn2YRgKCGBHNPy7eYSCZhhxMMeLJuJT_jxQzXubsFDZJzph5YQwG67h09zd4cggHxld5cdOAf3agsdTZ-LuzuKARzxOXi2pP_897d3T7EHH0lZy9o4yH1Ynz8s3HdY50iPAfHB-HrgC0cMPDc8AliEBro

   Yun, Shumei; Kayani, Noaman; Geiger, Sarah; Homan, Sherri; Wilson, Janet

   Public Health Reports (1974), Vol. 131, Issue 6, pp. 758 - 764.

   Objective: Our objective was to examine racial/ethnic disparities in injury-related risk behaviors and deaths among teens in Missouri, with a focus on Hispanic people—the fastest-growing racial/eth... Read more

   Objective: Our objective was to examine racial/ethnic disparities in injury-related risk behaviors and deaths among teens in Missouri, with a focus on Hispanic people—the fastest-growing racial/ethnic group in the state. Methods: We used data from the 2013 Missouri Youth Risk Behavior Survey, which included 1616 students in grades 9 through 12 from 32 public and charter high schools. The overall response rate was 69%. We compared the prevalence of 10 injury-related risk behaviors among racial/ethnic groups and used multivariate logistic regression models to control for respondent age and sex. Using data from the 2000-2014 Missouri death records, we also compared injury-related death rates among racial/ethnic groups of teens aged 15 to 19 years. Results: Hispanic students had a significantly higher prevalence than non-Hispanic white students for 9 of 10 risk behaviors and a significantly higher prevalence than non-Hispanic black students for 6 of the 10 risk behaviors included in the study. However, Hispanic teens aged 15 to 19 years had a significantly lower death rate from suicide, homicide, and unintentional injury combined (39.8 per 100000 population, 95% confidence interval [CI], 32.2-48.5) when compared with their non-Hispanic white (54.3 per 100000 population, 95% CI, 52.3-54.6) or non-Hispanic black (94.1 per 100000 population, 95% CI, 87.9-100.3) counterparts. Conclusion: Injury-related risk behaviors were more prevalent among Hispanic students than non-Hispanic white or non-Hispanic black students. Further efforts are needed to understand risk behaviors among Hispanic teens to guide intervention efforts. Read less

   Journal Article  |  Full Text Online

3. Pediatricians and Screening for Obesity with Body Mass Index: Does Level of Training Matter? 2009

   https://ncsu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwEB7xuCChqjwKgRJ86AGpCpvEiZP0UlHYFUhdCdTtrVLkp0AqWUTgwL9nnNi7imgvXGNLSTwezzf2528AvpQ8LUUsZJRllEZZJU3EOa0ijemHkHnKqdDDzRzI_V2YjrQvxd1p8_f-tLm77biVD_dy5Hlio-vpecoqDHvxaBVWC5r5FN0vv2nilHZpRDH78TdlrMoSPrOPMEZa6iSu351mKLMVt-kgMPXcREuU5C2OlemLXPwLhb4lU3pGGHVBavIRPjh0Sc76v9iCFd1sw2a_NUf6G0c78GdRngOnRkt4o8gvaek3GMUIYljiigUQu0dLfszVC5kixCZXVljxG7mY65b8tFwjMjdk5kpMkGkn1Pl9F35PxrPzy8gVWYgkgrenKJWaKmMKhAESsUWumKGCFdIkQhmtRV7oiotU55mimqMLp1QzxUpM65iRIqH7QGJexspUSaUorglGYoTTichMLDFhSQoWwFc_tPVDL6JRJ15n_I1NAvjUjf6iK6IyhDFFEkA4MMeyg9VxK-MygENvn9q5YluXFpPmNMfW40Ur-pA9GOGNnj-3NSZNMcNVP4C93pbLr3STI4BiYOVFB6vOPWzBSdupdLtJGsCJnQ_L7_n_jx-8-yWHsNGfclka8WdYe3p81kewZm-BhOgjs5sQ1s8m4_Es7IpLhJ3HvAIeyxHF

   Hillman, Jennifer B.; Corathers, Sarah D.; Wilson, Stephen E.

   Public Health Reports (1974), Vol. 124, Issue 4, pp. 561 - 567.

   Objectives. Pediatric obesity is increasing at epidemic rates in industrialized nations. It is recommended that pediatricians screen all children annually with the use of body mass index (BMI). How... Read more

   Objectives. Pediatric obesity is increasing at epidemic rates in industrialized nations. It is recommended that pediatricians screen all children annually with the use of body mass index (BMI). However, it is unclear whether this recommendation is followed. This study sought to (1) determine the proportion of children screened for obesity with BMI, and (2) test whether attending physicians are more likely than resident physicians to document and plot BMI. Methods. We conducted a systematic review of medical records in an urban academic pediatric practice. Participants were children aged 5 to 11 years presenting for health care in 2004. We measured the proportion of subjects with documented and plotted BMI and compared results for attending and resident physicians. We used logistic regression analysis to determine factors associated with documentation of BMI. Results. Of 397 medical records reviewed, 59.7% contained the 2000 Centers for Disease Control and Prevention growth curve with BMI for age; 5.5% documented BMI, and 4.3% plotted BMI. Resident physicians were more likely to document (13.0% vs. 3.0%, p=0.0008) and plot (9.0% vs. 2.7%, p=0.0260) BMI compared with attending physicians. Children with a BMI ≥95% for age were more likely to have their BMI documented (odds ratio [OR] = 10.7, 95% confidence interval [CI] 3.7, 31.5) and plotted (OR=7.1, 95% CI 2.3, 21.6). Conclusion. We found the use of BMI to screen for childhood obesity very poor in this academic pediatric practice. Resident physicians were more likely to document and plot BMI than attending physicians. Read less

   Journal Article  |  Full Text Online

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