Dataset Information

Cross-border utilization of health care: evidence from a population-based study in south Texas.

ABSTRACT:

Objective

To assess the prevalence of health care utilization in Mexico by Texas border residents and to identify the main contributing factors to their cross-border utilization of health care services.

Data and methods

This study used primary data from a population-based telephone survey that was conducted in the whole Texas border area in 2008. The survey included responses from 1,405 adults. Multivariate logistic regression models were estimated to determine predictors of utilizing a wide range of health care services in Mexico.

Principal findings

Forty-nine percent of the sample reported having ever purchased medications in Mexico, followed by 41 percent for dentist visits, 37.3 percent for doctor visits, and 6.7 percent for inpatient care. The most significant predictors of health care utilization in Mexico were lack of U.S. health insurance coverage, dissatisfaction with the quality of U.S. health care, and poor self-rated health status.

Conclusions

The high prevalence of use of health care services in Mexico by Texas border residents is suggestive of unmet needs in health care on the U.S. side of the border. Addressing these unmet needs calls for a binational approach to improve the affordability, accessibility, and quality of health care in the U.S.-Mexico border region.

SUBMITTER: Su D

PROVIDER: S-EPMC3097406 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Publications

Cross-border utilization of health care: evidence from a population-based study in south Texas.

Su Dejun D Richardson Chad C Wen Ming M Pagán José A JA

Health services research 20101215 3

<h4>Objective</h4>To assess the prevalence of health care utilization in Mexico by Texas border residents and to identify the main contributing factors to their cross-border utilization of health care services.<h4>Data and methods</h4>This study used primary data from a population-based telephone survey that was conducted in the whole Texas border area in 2008. The survey included responses from 1,405 adults. Multivariate logistic regression models were estimated to determine predictors of utili ...[more]

PMID: 21158855

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Project description:BackgroundThe effect of the rapid scale-up of vertical antiretroviral treatment (ART) programs for HIV in sub-Saharan Africa on the overall health system is under intense debate. Some have argued that these programs have reduced access for people suffering from diseases unrelated to HIV because ART programs have drained human and physical resources from other parts of the health system; others have claimed that the investments through ART programs have strengthened the general health system and the population health impacts of ART have freed up health care capacity for the treatment of diseases that are not related to HIV. To establish the population-level impact of ART programs on health care utilization in the public-sector health system, we compared trends in health care utilization among HIV-infected people receiving and not receiving ART with HIV-uninfected people during a period of rapid ART scale-up.Methods and findingsWe used data from the Wellcome Trust Africa Centre for Population Health, which annually elicited information on health care utilization from all surveillance participants over the period 2009-2012 (N = 32,319). We determined trends in hospitalization, and public-sector and private-sector primary health care (PHC) clinic visits for HIV-infected and -uninfected people over a time period of rapid ART scale-up (2009-2012) in this community. We regressed health care utilization on HIV status and ART status in different calendar years, controlling for sex, age, and area of residence. The proportion of people who reported to have visited a public-sector primary health care (PHC) clinic in the last 6 months increased significantly over the period 2009-2012, for both HIV-infected people (from 59% to 67%; p<0.001), and HIV-uninfected people (from 41% to 47%; p<0.001). In contrast, the proportion of HIV-infected people visiting a private-sector PHC clinic declined from 22% to 12% (p<0.001) and hospitalization rates declined from 128 to 82 per 1000 PY (p<0.001). For HIV-uninfected people, the proportion visiting a private-sector PHC clinic declined from 16% to 9%, and hospitalization rates declined from 78 to 44 per 1000 PY (p<0.001). After controlling for potential confounding factors, all trends remained of similar magnitude and significance.ConclusionsOur results indicate that the ART scale-up in this high HIV prevalence community has shifted health care utilization from hospitals and private-sector primary care to public-sector primary care. Remarkably, this shift is observed for both HIV-infected and -uninfected populations, supporting and extending hypotheses of 'therapeutic citizenship' whereby HIV-infected patients receiving ART facilitate primary care access for family and community members. One explanation of our findings is that ART has improved the capacity or quality of primary care in this community and, as a consequence, increasingly met overall health care needs at the primary care level rather than at the secondary level. Future research needs to confirm this causal interpretation of our findings using qualitative work to understand causal mechanisms or quasi-experimental quantitative studies to increase the strength of causal inference.

Project description:ImportanceHurricanes and flooding can interrupt health care utilization. Understanding the magnitude and duration of interruptions, as well as how they vary according to hazard exposure, race, and income, are important for identifying populations in need of greater retention in care.ObjectiveTo determine how the differential exposure to Hurricane Harvey in August 2017 is associated with changes in utilization of Veterans Health Administration health care.Design, setting, and participantsThis is a retrospective cohort analysis of primary care practitioner (PCP) visits, emergency department visits, and inpatient admissions in the Veterans Health Administration among Texas veterans residing in counties impacted by Hurricane Harvey from 2016 to 2018. Data analysis was performed from September 2020 to May 2021.ExposuresResidential flooding after Hurricane Harvey.Main outcomes and measuresInterrupted time series analysis measured changes in health care utilization over time, stratified by residential flood exposure, race, and income.ResultsOf the 99 858 patients in the cohort, 89 931 (90.06%) were male, and their median (range) age was 58 (21 to 102) years. Compared with veterans in nonflooded areas, veterans living in flooded areas were more likely to be Black (24 715 veterans [33.80%] vs 4237 veterans [15.85%]) and low-income (14 895 veterans [20.37%] vs 4853 veterans [18.15%]). Rates of PCP visits decreased by 49.78% (95% CI, -64.52% to -35.15%) for veterans in flooded areas and by 45.89% (95% CI, -61.93% to -29.91%) for veterans in nonflooded areas and did not rebound until more than 8 weeks after the hurricane. Rates of PCP visits in flooded areas remained lower than expected for 11 weeks among White veterans (-6.99%; 95% CI, -14.36% to 0.81%) and for 13 weeks among racial minority veterans (-7.22%; 95% CI, -14.11% to 0.30%). Low-income veterans, regardless of flood status, experienced greater suppression of PCP visits in the 8 weeks following the hurricane (-13.72%; 95% CI, -20.51% to -6.68%) compared with their wealthier counterparts (-9.63%; 95% CI, -16.74% to -2.26%).Conclusions and relevanceThese findings suggest that flood disasters such as Hurricane Harvey may be associated with declines in health care utilization that differ according to flood status, race, and income strata. Patients most exposed to the disaster also had the greatest delay or nonreceipt of care.

Dataset Information

Cross-border utilization of health care: evidence from a population-based study in south Texas.

Objective

Data and methods

Principal findings

Conclusions

Publications

Cross-border utilization of health care: evidence from a population-based study in south Texas.

Similar Datasets

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