The impact of abortion bans on short-term housing needs.

OBJECTIVES: State-level abortion bans in the United States have created a complex legal landscape that forces many prospective patients to travel long distances to access abortion care. The financial strain and logistical difficulties associated with travelling out of state for abortion care may present an insurmountable barrier to some individuals, especially to those with limited resources. Tracking the impact of these abortion bans on travel and housing is crucial for understanding abortion access and economic changes following the Dobbs U.S. Supreme Court decision. STUDY DESIGN: This study used occupancy data from an average of 2,349,635 (standard deviation = 111,578) U.S. Airbnb listings each month from October 1st, 2020, through April 30th, 2023, to measure the impact of abortion bans on travel for abortion care and the resulting economic effects on regional economies. METHODS: The study used a synthetic difference-in-differences design to compare monthly-level occupancy rate data from 1-bedroom entire-place Airbnb rentals within a 30-min driving distance of abortion clinics in states with and without abortion bans. RESULTS: The study found a 1.4 percentage point decrease in occupancy rates of Airbnbs around abortion clinics in states where abortion bans were in effect, demonstrating reductions in Airbnb use in states with bans. In the 6-month period post Dobbs, this decrease translates to 16,548 fewer renters and a $1.87 million loss in revenue for 1-bedroom entire-place Airbnbs within a 30-min catchment area of abortion facilities in states with abortion restrictions. CONCLUSION: This novel use of Airbnb data provides a unique perspective on measuring demand for abortion and healthcare services and demonstrates the value of this data stream as a tool for understanding economic impacts of health policies.

A Standardized Donor Designation Ratio to Assess the Performance of Driver's License Agencies.

Evaluating Department of Motor Vehicles (DMV) locations based on the percent of patrons who register as donors does not account for individual characteristics that may influence willingness to donate. We reviewed the driver's licenses of 2997 randomly selected patients at an urban medical system to obtain donor designation, age, gender, and DMV location and linked patient addresses with census tract data on race, ethnicity, income, and education. We then developed a Standardized Donor Designation Ratio (SDDR) (ie, the observed number of donors at each DMV divided by the expected number of donors based on patient demographic characteristics). Overall, 1355 (45%) patients were designated as donors. Donor designation was independently associated with younger age, female gender, nonblack race, and higher income. Across 18 DMVs, the proportion of patients who were donors ranged from 30% to 68% and SDDRs ranged from 0.82 to 1.17. Among the 6 facilities in the lowest tertile by SDDR, 3 were in the lowest tertile by percent donation. In conclusion, there is a great deal of variation across DMVs in rates of organ donor designation. SDDRs that adjust for DMV patron characteristics are distinct measures that may more accurately describe the performance of DMVs in promoting organ donation.

Is Signature Size Associated With Organ Donor Designation on Driver's Licenses?

INTRODUCTION: Previous studies suggest that large signature size is associated with narcissistic characteristics. By contrast, organ donation is an indicator of altruism. Because altruism and narcissism may be viewed as opposites, we sought to determine if smaller signature size is associated with willingness to be an organ donor. METHODS: Using a cross-sectional study design, we reviewed the health records of 571 randomly selected primary care patients at a large urban safety-net medical system to obtain their demographic and medical characteristics. We also examined driver's licenses that were scanned into electronic health records as part of the patient registration process. We measured signature sizes and obtained the organ donor designation from these driver's licenses. RESULTS: Overall, 256 (45%) patients were designated as donors on their driver's licenses. Signature size averaged 113.3 mm(2) but varied greatly across patients (10th percentile 49.1 mm(2), 90th percentile 226.1 mm(2)). On multivariate analysis, donor designation was positively associated with age 18-34 years, non-black race, having private insurance, and not having any comorbid conditions. However, signature size was not associated with organ donor designation. CONCLUSIONS: Signature size is not associated with verified organ donor designation. Further work is needed to understand the relationship between personality types and willingness to be an organ donor.

Stability of Organ Donor Designations on Driver's Licenses.

BACKGROUND: Little is known about the stability of decisions that people make to be organ donors. We sought to determine the rate of stability of organ donor designations on driver's licenses. METHODS: With the use of a cross-sectional study design, we reviewed the health records of 2500 randomly selected primary-care patients at a large urban safety-net medical system to obtain their demographic and medical characteristics. We also examined the two most recent unique driver's licenses, state identification cards, or learner's permits that were scanned into electronic health records as part of the patient registration process. We obtained organ donor designations from these documents for each patient. RESULTS: Of all patients, 1174 (47%) had two driver's licenses, identification cards, or permits in their electronic medical records. The two documents were issued an average of 3.5 years apart. Overall, 114 (10%) patients had differing organ donor designations on their two documents. Among the 502 patients who were designated as organ donors on the first document, 32 (6%) were not designated as organ donors on the second document. Among the 672 patients who were not designated as organ donors on the first document, 82 (12%) were designated as organ donors on the second document. There was little relationship between stability of organ donor designations and patient demographic and medical characteristics. CONCLUSIONS: About 1 of every 10 patients changed their organ donor designation, but stability was not associated with any demographic or medical factors. Further work is needed to understand why individuals change their organ donor designation.

The Relationship Between Verified Organ Donor Designation and Patient Demographic and Medical Characteristics.

Previous studies on the correlates of organ donation consent have focused on self-reported willingness to donate and on self-reported medical suitability to donate. However, these may be subject to social desirability bias and inaccurate assessments of medical suitability. The authors sought to overcome these limitations by directly verifying donor designation on driver's licenses and by abstracting comorbid conditions from electronic health records. Using a cross-sectional study design, they reviewed the health records of 2070 randomly selected primary care patients at a large urban safety-net medical system to obtain demographic and medical characteristics. They also examined driver's licenses that were scanned into electronic health records as part of the patient registration process for donor designation. Overall, 943 (46%) patients were designated as a donor on their driver's license. On multivariate analysis, donor designation was positively associated with age 35-54 years, female sex, nonblack race, speaking English or Spanish, being employed, having private insurance, having an income >$45 000, and having fewer comorbid conditions. These demographic and medical characteristics resulted in patient subgroups with donor designation rates ranging from 21% to 75%. In conclusion, patient characteristics are strongly related to verified donor designation. Further work should tailor organ donation efforts to specific subgroups.