scholarly journals Exploring prenatal outdoor air pollution, birth outcomes and neonatal health care utilization in a nationally representative sample

2013 ◽  
Vol 23 (3) ◽  
pp. 315-321 ◽  
Author(s):  
Leonardo Trasande ◽  
Kendrew Wong ◽  
Angkana Roy ◽  
David A Savitz ◽  
George Thurston
Keyword(s):  
Health Care ◽  
Air Pollution ◽  
Health Care Utilization ◽  
Birth Outcomes ◽  
Representative Sample ◽  
Care Utilization ◽  
Neonatal Health ◽  
Outdoor Air ◽  
Outdoor Air Pollution ◽  
Nationally Representative

scholarly journals A Comparison Between Subjective and Objective Methods of Predicting Health Care Expenses to Support Consumers’ Health Insurance Plan Choice

2018 ◽  
Vol 3 (1) ◽  
pp. 238146831878109 ◽  
Author(s):  
Mary C. Politi ◽  
Enbal Shacham ◽  
Abigail R. Barker ◽  
Nerissa George ◽  
Nageen Mir ◽  
...  
Keyword(s):  
Health Care ◽  
Health Insurance ◽  
Health Care Utilization ◽  
Subjective Health ◽  
Care Utilization ◽  
Insurance Plan ◽  
Health Insurance Plan ◽  
Subjective Health Status ◽  
Reported Health ◽  
Nationally Representative

Objective. Numerous electronic tools help consumers select health insurance plans based on their estimated health care utilization. However, the best way to personalize these tools is unknown. The purpose of this study was to compare two common methods of personalizing health insurance plan displays: 1) quantitative healthcare utilization predictions using nationally representative Medical Expenditure Panel Survey (MEPS) data and 2) subjective-health status predictions. We also explored their relations to self-reported health care utilization. Methods. Secondary data analysis was conducted with responses from 327 adults under age 65 considering health insurance enrollment in the Affordable Care Act (ACA) marketplace. Participants were asked to report their subjective health, health conditions, and demographic information. MEPS data were used to estimate predicted annual expenditures based on age, gender, and reported health conditions. Self-reported health care utilization was obtained for 120 participants at a 1-year follow-up. Results. MEPS-based predictions and subjective-health status were related ( P < 0.0001). However, MEPS-predicted ranges within subjective-health categories were large. Subjective health was a less reliable predictor of expenses among older adults (age × subjective health, P = 0.04). Neither significantly related to subsequent self-reported health care utilization ( P = 0.18, P = 0.92, respectively). Conclusions. Because MEPS data are nationally representative, they may approximate utilization better than subjective health, particularly among older adults. However, approximating health care utilization is difficult, especially among newly insured. Findings have implications for health insurance decision support tools that personalize plan displays based on cost estimates.

scholarly journals Pediatric Asthma Health Care Utilization, Viral Testing, and Air Pollution Changes During the COVID-19 Pandemic

2020 ◽  
Vol 8 (10) ◽  
pp. 3378-3387.e11 ◽  
Author(s):  
Kiara Taquechel ◽  
Avantika R. Diwadkar ◽  
Samir Sayed ◽  
Jesse W. Dudley ◽  
Robert W. Grundmeier ◽  
...  
Keyword(s):  
Health Care ◽  
Air Pollution ◽  
Health Care Utilization ◽  
Pediatric Asthma ◽  
Care Utilization ◽  
Viral Testing

scholarly journals Veterans’ Health Care Utilization in Department of Veterans Affairs Facilities Two to Twelve Years after Applying for PTSD Service Connection: Findings from a Nationally Representative Cohort

2019 ◽  
Author(s):  
Maureen Murdoch ◽  
Yvonne Jonk
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Care Utilization ◽  
Veterans Affairs ◽  
Care Utilization ◽  
Department Of Veterans Affairs ◽  
Disability Benefits ◽  
Outpatient Mental Health ◽  
Nationally Representative ◽  
Representative Cohort

Background: Critics fear that some Veterans use Department of Veterans Affairs (VA) mental health services solely to establish eligibility for posttraumatic stress disorder (PTSD) disability benefits, then drop out of treatment once their claim is approved. Objective: To examine the long-term effects of receiving VA disability benefits for PTSD on health care in the VA system. Methods: Using VA administrative data, we examined the health care utilization of a nationally representative cohort of former PTSD disability claimants. Veterans filed PTSD disability claims between 1994 and 1998. They returned mailed surveys between 1998 and 2000 (Time 1) and between 2004 and 2006 (Time 2). We examined their health care utilization for the 6 months before and after they received their surveys, comparing the health care use of successful claimants (SC+) to unsuccessful claimants (SC-). Results: Of the 3,337 Veterans in the cohort, 3,090 had at least one episode of care at a VA facility during the study period. Except for rehabilitative services, successful claimants were statistically significantly more likely to have used any outpatient VA service in the year centered on their Time 1 survey than were SC- Veterans (ps &lt; 0.001). At Time 2, SC+ Veterans were more likely than SC- Veterans to have used any outpatient mental health (p &lt; 0.001), primary care (p &lt; 0.01) or surgical care (p &lt; 0.05) services. Among those using any outpatient services at Time 2, the intensity of services used by SC+ and SC- Veterans was comparable (ps &gt;0.08). Hospitalizations were similar in the two groups during both time periods (ps &gt;0.11). From Time 1 to Time 2 (a period of 6 to 8 years), SC+ Veterans reduced the average number of mental health stops they made by 4.6 visits per year, whereas SC- Veterans reduced by 2.9 visits per year (p = 0.81). Conclusion: On net, more SC+ Veterans used outpatient mental health and other services than did SC- Veterans, and this effect persisted for up to 12 years after Veterans initially filed their claims. These data suggest that PTSD disability benefits facilitate access to and use of mental health and other care in the VA system.

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