Five Mosses New to Tarrant County, Texas

1977 ◽  
Vol 22 (1) ◽  
pp. 136 ◽  
Author(s):  
Charles R. Gardner ◽  
Archibald W. Hopkins
Keyword(s):  
Tarrant County

The Mexican Free-Tailed Bat in Tarrant County, Texas

1948 ◽  
Vol 29 (4) ◽  
pp. 418-419
Author(s):  
F. W. Miller
Keyword(s):  
Tarrant County

Parental risk perception and influenza vaccination of children in daycare centres

2013 ◽  
Vol 142 (1) ◽  
pp. 134-141 ◽  
Author(s):  
T. N. OFFUTT-POWELL ◽  
R. P. OJHA ◽  
R. QUALLS-HAMPTON ◽  
S. STONECIPHER ◽  
K. P. SINGH ◽  
...  
Keyword(s):  
Risk Perception ◽  
Influenza Vaccination ◽  
Profile Likelihood ◽  
Conditional Logistic Regression ◽  
Healthy Children ◽  
Physician Recommendation ◽  
Tarrant County ◽  
Paper Survey ◽  
High Level ◽  
The Relationship

SUMMARYLittle information is available about perceptions of influenza vaccination of parents with healthy children in daycare. Therefore, we systematically explored the relationship between parental risk perception and influenza vaccination in children attending daycare. We distributed a self-administered paper survey to parents of children aged 6–59 months attending licensed daycare centres in Tarrant County, Texas. We used conditional logistic regression with penalized conditional likelihood to estimate odds ratios (ORs) and 95% profile likelihood confidence limits (PL) for parental risk-perception factors and influenza vaccination. A high level of parental prevention behaviours (OR 9·1, 95% PL 3·2, 31) and physician recommendation (OR 8·2, 95% PL 2·7, 30) had the highest magnitudes of association with influenza vaccination of healthy children in daycare. Our results provide evidence about critical determinants of influenza vaccination of healthy children in daycare, which could help inform public health interventions aimed at increasing influenza vaccination coverage in this population.

Frequency of Hospital Use Before and After Home-Delivery Meal by Meals On Wheels, of Tarrant County, Texas

2017 ◽  
Vol 22 (4) ◽  
pp. 519-525 ◽  
Author(s):  
Jinmyoung Cho ◽  
J. L. Thorud ◽  
S. Marishak-Simon ◽  
L. Hammack ◽  
A. B. Stevens
Keyword(s):  
Home Delivery ◽  
Tarrant County ◽  
Meals On Wheels ◽  
Before And After ◽  
Hospital Use

scholarly journals Sociodemographic and Health-Related Characteristics of a Safety-Net Patient Population

2019 ◽  
Author(s):  
Afiba Manza-Azele Agovi ◽  
Ifedioranma Anikpo ◽  
Matthew J. Cvitanovich ◽  
Lu Yan ◽  
Tzu-Chun Chu ◽  
...  
Keyword(s):  
Mental Health ◽  
General Population ◽  
Chronic Conditions ◽  
Patient Characteristics ◽  
Safety Net ◽  
Cross Sectional ◽  
Tarrant County ◽  
Healthcare Needs ◽  
Urban Safety ◽  
Health Related

Abstract Background Safety-net health systems are an important source of healthcare for underserved or vulnerable individuals, but definitions of safety-net institutions are largely based on patient characteristics. Some definitions may not accurately identify such institutions. Therefore, we aimed to describe the characteristics of urban safety-net patients in Texas and compare the distribution of morbidities between safety-net and general population patients. Methods We used hospital claims data from the Dallas-Fort Worth Hospital Council Foundation to create a cross-sectional cohort. Eligible patients were aged ≥18 years and Tarrant County residents in 2018. Patients were divided into two groups for comparison. The first group represented patients with hospital claims from JPS Health Network (i.e. safety-net population). The second group represented all patients with hospital claims in Tarrant County (i.e. general population). We estimated frequencies of patient characteristics. In addition, we estimated overall and payor-stratified standardized morbidity ratios (SMRs) adjusted for age, gender, and race/ethnicity to compare the prevalence of common chronic diseases between safety-net patients and patients in the general population. Results Our study population comprised 459,827 patients, of whom 74,323 (16%) were safety-net patients. Patients aged ≥65 years comprised 23% of the general population and 11% of the safety-net population. Non-Hispanic Whites comprised 52% of the general population and 29% of safety-net patients. A larger proportion of safety-net patients were uninsured compared with general population patients (safety-net: 54%; general population: 25%), but Medicaid distribution was less discrepant (safety-net: 9%; general population: 7%). Medicare was the primary payor for 24% of general population patients and 14% of safety-net patients. Safety-net patients had relative excesses of mental health and chronic conditions ranging between 5% and 230% for all selected conditions except dementia/Alzheimer’s. The patterns for payor-stratified SMRs were consistent with the overall results. Conclusions We observed considerable sociodemographic diversity and a high burden of mental health and chronic conditions among safety-net patients, which may support understanding the healthcare needs of safety-net populations. Our findings raise questions about definitions of safety-net institutions based on Medicaid distribution alone and the transportability of findings from studies in which safety-net populations are unrepresented.

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