Institution
Ohio Department of Health
Government•Columbus, Ohio, United States•
About: Ohio Department of Health is a government organization based out in Columbus, Ohio, United States. It is known for research contribution in the topics: Population & Public health. The organization has 308 authors who have published 354 publications receiving 14493 citations.
Topics: Population, Public health, Outbreak, Health care, Mental health
Papers published on a yearly basis
Papers
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TL;DR: Use of a $10 CVS gift card incentive in place of a prepaid phone card can positively impact African American response in PRAMS.
Abstract: Since 2005, the Ohio Pregnancy Risk Assessment Monitoring System (PRAMS) has used a prepaid phone card incentive in an effort to increase survey response. Although Ohio PRAMS has generally achieved an overall response rate of 70%, African American participation has been significantly lower, a persistent problem documented by other PRAMS states. We examined the effect of a gift card incentive compared to the standard phone card on African American response. Sampled women in the African American stratum of Ohio PRAMS were randomly assigned to either the experimental (n = 276) or control (n = 274) incentive ($10 CVS gift card or 30-min prepaid phone card, respectively). Response rates were calculated for the total number of sampled African American women during the study period. Partial or full completion of the survey instrument by mail or phone was considered a response. Logistic regression was used to identify independent predictors of response. Variables examined included age, education, ethnicity, marital status, smoking status, birth weight, Women Infants and Children (WIC) enrollment, prenatal care, parity, and incentive assignment. The overall unweighted response rate was significantly higher in the experimental group (60.5 vs. 48.5%, P = .002). Maternal and infant characteristics were similar between groups. Logistic regression modeling revealed that having more than 12 years of education (OR = 2.46, 1.56–3.89), gift card incentive (OR = 1.46, 1.02–2.10), and enrollment in WIC (OR = 1.57, 1.05–2.35) were independent predictors of increased survey response. Use of a $10 CVS gift card incentive in place of a prepaid phone card can positively impact African American response in PRAMS.
14 citations
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TL;DR: Targeting higher risk schools to reach higher risk children is a practical and effective approach for increasing sealant prevalence through S-BSPs.
Abstract: Objectives To assess the effect of various school-level Free and Reduced Price Meal Program (FRPMP) enrollment-based risk thresholds on the ability of school-based sealant programs (S-BSPs) to reach higher risk children. Methods We used data from a statewide third grade oral health survey to compare: a) prevalence of dental caries for higher-risk children, using three different sets of child risk criteria based on social determinants; and b) dental caries and other access-related indicators for children at higher-risk schools based on four FRPMP-based thresholds (> or = 60 percent of children FRPMP-enrolled, > or = 50 percent, > or = 40 percent, > or = 30 percent). In addition, we used school enrollment and FRPMP enrollment data to compare the percentages of eligible schools and of higher-risk children resulting from the various thresholds. Results The prevalence of caries experiences and untreated caries were not significantly different for higher risk children categorized by the respective child caries risk criteria. Regardless of school-level risk threshold, children at higher risk schools were more likely to have caries experience, untreated caries, and no recent dental visit and less likely to have private dental insurance than children at lower risk schools. For these measures, children at higher risk schools were similar to each other regardless of risk threshold and were similar to higher risk children at all schools. The number of additional higher risk children per additional higher risk school showed a large decline between the 40-49 percent and 30-39 percent FRPMP enrollment tiers. Conclusions Targeting higher risk schools to reach higher risk children is a practical and effective approach for increasing sealant prevalence through S-BSPs.
13 citations
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TL;DR: Health care providers giving care to women with GDM history have varying perceptions of their roles, however, there was agreement on resources needed to improve care.
Abstract: To identify perceived roles with regard to care for women with gestational diabetes mellitus (GDM) history and resources for improving care among women with a history of GDM from the perspective of obstetrician/gynecologists (OB/GYNs), certified nurse midwives (CNM), family practitioners, and internists. In 2010, a survey was sent to a random sample of OB/GYNs, CNM, family practitioners, and internists (n = 2,375) in Ohio to assess knowledge, attitudes, and postpartum practices regarding diabetes prevention for women with a history of GDM. A total of 904 practitioners completed the survey (46 %). Over 70 % of CNMs strongly agreed it is part of their job to help women with GDM history improve diet and increase exercise, compared with 60 % of family practitioners/internists and 55 % of OB/GYNs (p < 0.001). More OB/GYNs and CNMs identified a need for more local nutrition specialists and patient education materials, compared with family practitioners/ internists. Between 60 and 70 % of OB/GYNs and CNMs reported lifestyle modification programs and corresponding reimbursement would better support them to provide improved care. Health care providers giving care to women with GDM history have varying perceptions of their roles, however, there was agreement on resources needed to improve care.
13 citations
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TL;DR: In this article, the authors examined the impact of the national public health emergency for COVID-19 (declared on March 14, 2020) on trends in ED encounters for suspected opioid overdose.
13 citations
Authors
Showing all 310 results
Name | H-index | Papers | Citations |
---|---|---|---|
Arthur Reingold | 93 | 327 | 37653 |
Shelley M. Zansky | 43 | 90 | 7099 |
Lee Friedman | 41 | 106 | 6860 |
Peter F. Buckley | 38 | 145 | 7124 |
Jennifer Bogner | 38 | 118 | 5403 |
Reena Oza-Frank | 21 | 75 | 1774 |
Luis F. Ramirez | 21 | 34 | 2224 |
Tammy L. Bannerman | 20 | 25 | 5709 |
Rod Moore | 17 | 34 | 1437 |
John D. Paulson | 17 | 32 | 786 |
Mary DiOrio | 16 | 22 | 1091 |
Edmond A. Hooker | 16 | 58 | 668 |
Ellen Salehi | 15 | 22 | 1648 |
Paul F. Granello | 14 | 32 | 530 |
Laurie M Billing | 14 | 29 | 2407 |