Kamran Baig1, Mary Shaw-Ridley2, Oscar J Munoz3. 1. Texas A&M University, Center for the Study of Health Disparities, College Station, TX 77840, USA. Electronic address: kbaig82@gmail.com. 2. Texas A&M University, Center for the Study of Health Disparities, College Station, TX 77840, USA. Electronic address: marshaw@fiu.edu. 3. Texas A&M University, Center for Housing and Urban Development, 9350 S. Presa, Ste.110, San Antonio, TX 78223, USA. Electronic address: omunoz@arch.tamu.edu.
Abstract
BACKGROUND: Colonias are sub standardized and unincorporated areas located along the US-Mexico border, with severely lacking infrastructure. Residents have poor health and limited availability, accessibility and/or utilization of healthcare services in the region. METHODS: Using 2006-2007 community needs assessment (CNA) surveys collected by the Center for Housing and Urban Development of Texas A&M University, 410 randomly selected surveys from Hidalgo County, Texas were analyzed. Descriptive and spatial analyses were performed and Odds ratio (OR) was calculated. RESULTS: Out of 410 surveys, 333 were geo-coded to identify areas most in need of dental and vision care. Two hospitals existed within 5 miles radius of the mean centers for the two areas. Distance to health care facility was not statistically predictive of the need of dental care OR=0.96 (95% CI=0.855-1.078, p value=0.492) and vision care OR=1.083 (95% CI=0.968-1.212, p value=0.164). CONCLUSION: Integrating spatial analysis and CNA enhances planning to improve service accessibility and utilization in underserved areas.
BACKGROUND: Colonias are sub standardized and unincorporated areas located along the US-Mexico border, with severely lacking infrastructure. Residents have poor health and limited availability, accessibility and/or utilization of healthcare services in the region. METHODS: Using 2006-2007 community needs assessment (CNA) surveys collected by the Center for Housing and Urban Development of Texas A&M University, 410 randomly selected surveys from Hidalgo County, Texas were analyzed. Descriptive and spatial analyses were performed and Odds ratio (OR) was calculated. RESULTS: Out of 410 surveys, 333 were geo-coded to identify areas most in need of dental and vision care. Two hospitals existed within 5 miles radius of the mean centers for the two areas. Distance to health care facility was not statistically predictive of the need of dental care OR=0.96 (95% CI=0.855-1.078, p value=0.492) and vision care OR=1.083 (95% CI=0.968-1.212, p value=0.164). CONCLUSION: Integrating spatial analysis and CNA enhances planning to improve service accessibility and utilization in underserved areas.
Authors: George A Mensah; Richard S Cooper; Anna Maria Siega-Riz; Lisa A Cooper; Justin D Smith; C Hendricks Brown; John M Westfall; Elizabeth O Ofili; LeShawndra N Price; Sonia Arteaga; Melissa C Green Parker; Cheryl R Nelson; Bradley J Newsome; Nicole Redmond; Rebecca A Roper; Bettina M Beech; Jada L Brooks; Debra Furr-Holden; Samson Y Gebreab; Wayne H Giles; Regina Smith James; Tené T Lewis; Ali H Mokdad; Kari D Moore; Joseph E Ravenell; Al Richmond; Nancy E Schoenberg; Mario Sims; Gopal K Singh; Anne E Sumner; Roberto P Treviño; Karriem S Watson; M Larissa Avilés-Santa; Jared P Reis; Charlotte A Pratt; Michael M Engelgau; David C Goff; Eliseo J Pérez-Stable Journal: Circ Res Date: 2018-01-19 Impact factor: 17.367
Authors: Ulrike Stentzel; Jeanette Bahr; Daniel Fredrich; Jens Piegsa; Wolfgang Hoffmann; Neeltje van den Berg Journal: BMC Health Serv Res Date: 2018-05-03 Impact factor: 2.655