Our study examines the causal effect of rural hospital closures on nearby hospitals\' nurse staffing levels and health care utilization. We use data from the 2014-2019 American Hospital Association Survey on nurse staffing level outcomes including licensed practical or vocational nurses (LPNs), registered nurses (RNs), and advanced practice nurses (APNs); and health care utilization outcomes, including inpatient and outpatient surgical operations and emergency department (ED) visits. Using propensity score matching and difference-in-differences (DID) methods, we find that rural hospital closures lead to an average increase of 37.3% in the number of nurses in nearby rural hospitals during the 4 years following the closure. This increase is found across all categories of nurses, including LPNs, RNs, and APNs. We also find a substantial increase in the provision of inpatient and outpatient surgical operations but there is no change in ED visits. We do not find any effects for nearby urban hospitals. Our study suggests that a large proportion of the nursing workforce relocates to nearby hospitals after a rural hospital closure, which mitigates the negative consequences of such closures and allows these nearby hospitals to provide a larger volume of highly profitable services.

To evidence the impact of air pollution on the health of urban populations, several studies use natural experiments that shift commuting from public transport to cars (or vice-versa). However, as public transport use declines, reduced interpersonal contact may lead to slower virus spread and thus lower respiratory morbidity. Using a difference-in-differences strategy, we show that respiratory hospitalisations are both positively affected by air pollution and negatively affected by viral spread following partial unavailability of public transport due to strikes in the ten most populated French cities during the period 2010-2015. Our results are in line with studies in other countries that have found a significant increase in urgent respiratory hospitalisations following a public transport strike, most likely due to car pollution, but we also find a detectable interaction with viral spread, which should not be overlooked when interpreting these studies.

What happens when the findings of a prominent medical study are overturned? Using a medical trial on breech births, we estimate the effect of the reversal of such a medical study on physician choices and infant health outcomes. Using the United States Birth Certificate Records from 1995 to 2010, we employ a difference-in-differences estimator for C-sections, low Apgar, and low birth weight measures. We find that the reversal of a multi-site, high profile, randomized control trial on the appropriate delivery of term breech births, the Term Breech Trial, led to a 15%-23% decline in C-sections for such births at a time when the overall trend in C-sections was rising. We find our largest estimated effects amongst traditionally disadvantaged groups (i.e., non-white, and minimal education). However, we do not find that such a change in practice had significant impacts on infant health. Contrary to prior studies, we find that physicians updated their beliefs quickly, and do indeed adjust to new medical research, particularly young physicians, prior to mandatory policy or professional guidelines.

OBJECTIVE: Among the provisions within the Affordable Care Act (ACA), expanding Medicaid was arguably the greatest contributor to increasing access to care. For over a decade, researchers have investigated how Medicaid expansion impacted cancer outcomes. Over this same decade, statistical theory illuminated how state-based policy research could be compromised by invalid inference. After reviewing the literature to identify the inference strategies of state-based cancer registry Medicaid expansion research, this study aimed to assess how inference decisions could change the interpretation of Medicaid expansion\'s impact on staging, treatment, and mortality in cancer patients.
METHODS: Cancer case data (2000-2019) was obtained from the Surveillance, Epidemiology, End Results (SEER) programme. Cases included all cancer sites combined, top 10 cancer sites combined, and three screening amenable cancers (colorectal, female breast, female cervical).
METHODS: A Difference-in-Differences design estimated the association between Medicaid expansion and four binary outcomes: distant stage, initiating treatment >1 month after diagnosis, no surgery recommendation, and death. Three inference techniques were compared: (1) traditional, (2) cluster, and (3) Wild Cluster Bootstrap.
METHODS: Data was accessed via SEER*Stat.
RESULTS: Estimating standard errors via traditional inference would suggest that Medicaid expansion was associated with delayed treatment initiation and surgery recommendations. Traditional and clustered inference also suggested that Medicaid expansion reduced mortality. Inference using Wild Cluster Bootstrap techniques never rejected the null hypotheses.
CONCLUSIONS: This study reiterates the importance of explicit inference. Future state-based, cancer policy research can be improved by incorporating emerging techniques. These findings warrant caution when interpreting prior SEER research reporting significant effects of Medicaid expansion on cancer outcomes, especially studies that did not explicitly define their inference strategy.

Federal authorities banned nursing home visitation in the early days of the coronavirus disease 2019 (COVID-19) pandemic. However, there was growing concern that physical isolation may have unintended harms on nursing home residents. Thus, nursing homes and policymakers faced a tradeoff between minimizing COVID-19 outbreaks and limiting the unintended harms. Between June 2020 and January 2021, 17 states implemented Essential Caregiver policies (ECPs) allowing nursing home visitation by designated family members or friends under controlled circumstances. Using the Nursing Home COVID-19 Public File and other relevant data, we analyze the effects of ECPs on deaths among nursing home residents. We exploit variation in the existence of ECPs across states and over time, finding that these policies effectively reduce both non-COVID-19 and COVID-19 deaths, resulting in a decrease in total deaths. These effects are larger for states that implemented policies mandatorily or without restrictions, indicating a dose-response relationship. These policies reduce non-COVID-19 deaths in facilities with higher quality or staffing levels, while reducing COVID-19 deaths in facilities with lower quality or staffing levels. Our findings support the use and expansion of ECPs to balance resident safety and the need for social interaction and informal care during future pandemics.

In March of 2017 Utah announced its intent to lower the legal blood alcohol content (BAC) for driving from 0.08 to 0.05 g/dL. However, this change did not take effect until 2019. We employ a difference-in- differences strategy on Utah counties using neighboring states as controls to test whether this policy change significantly affected the number of traffic accidents or the severity of those accidents. Results show the policy appears to temporarily decrease the total number of accidents, limited primarily to property damage- only accidents. We believe these results may be partially explained by drivers who, after the policy is enacted, avoid reporting property damage-only accidents if possible. Using insurance claims data, we show there is no corresponding fall in insurance claims or payouts suggesting that the fall in total accidents likely comes from under-reporting.

BACKGROUND: The aim of this population-based registry study was to examine the impact of cancer on employment outcomes in adolescent and young adult (AYA) survivors and their partners and associated sociodemographic and clinical characteristics.
METHODS: A total of 2456 AYA cancer patients, diagnosed in 2013 and aged 18 through 39 years old, were selected from the Netherlands Cancer Registry and linked to employment data from Statistics Netherlands, from which 1252 partners of AYAs could be identified. For both patients and their partners, a control group with same age, migration background, and sex was selected. The impact (i.e., causal effect) was estimated by implementing a doubly robust difference-in-differences method, from 3 years before to 5 years after cancer diagnosis.
RESULTS: Patients suffered a reduced employment probability (3.8 percentage points) and number of hours worked when employed (3.8%). This effect was larger for females, and individuals with a migration background, high tumor stage, or diagnosed with a central nervous system tumor/hematologic malignancy. In regard to employment, no significant effect could be found for the patients\' partners, although a 5.5 percentage-point increase in employment probability was found in partners who were either unemployed or worked fewer than 400 hours.
CONCLUSIONS: A cancer diagnosis significantly affects employment outcomes of AYA patients with cancer. Patients at risk should have access to services such as job counseling to help them return into society in the best possible way. No objective impact on partners\' employment outcomes was found; however, subjective well-being was not taken into account.
CONCLUSIONS: This study estimated the causal effect of a cancer diagnosis on employment outcomes. Adolescent and young adult cancer survivors face a reduction in both employment probability and the number of hours worked when employed. Partners that were unemployed or worked the least number of hours a year before diagnosis had a 5.5 percentage-point increased employment probability, but for other partners effects are small.

Background Air pollution has been recognized as an untraditional risk factor for myocardial infarction (MI). However, the MI risk attributable to long-term exposure to fine particulate matter ≤2.5 μm in aerodynamic diameter (PM2.5) is unclear, especially in younger populations, and few studies have represented the general population or had power to examine comorbidities. Methods and Results We applied the difference-in-differences approach to estimate the relationship between annual PM2.5 exposure and hospitalizations for MI among US residents and further identified potential susceptible subpopulations. All hospital admissions for MI in 10 US states over the period 2002 to 2016 were obtained from the Healthcare Cost and Utilization Project State Inpatient Database. In total, 1 914 684 MI hospital admissions from 8106 zip codes were included in this study. We observed a 1.35% (95% CI, 1.11-1.59) increase in MI hospitalization rate for 1-μg/m3 increase in annual PM2.5 exposure. The estimate was robust to adjustment for surface pressure, relative humidity, and copollutants. In the population exposed to ≤12 μg/m3, there was a larger increment of 2.17% (95% CI, 1.79-2.56) in hospitalization rate associated with 1-μg/m3 increase in PM2.5. Young people (0-34 years of age) and elderly people (≥75 years of age) were the 2 most susceptible age groups. Residents living in more densely populated or poorer areas and individuals with comorbidities were observed to be at a greater risk. Conclusions This study indicates long-term residential exposure to PM2.5 could increase risk of MI among the general US population, people with comorbidities, and poorer individuals. The association persists below current standards.

OBJECTIVE: To investigate the relationship between legalization of Sunday alcohol sales and alcohol consumption in the United States.
METHODS: State-level per capita consumption of beer, wine and spirits was analyzed using difference-in-differences econometric methods.
METHODS: United States.
METHODS: Five treatment states that repealed their laws restricting Sunday alcohol sales during 1990-2007 and 12 control states that retained their Sunday alcohol laws during the same period.
METHODS: Outcome measures are state-level per capita consumption of overall alcohol, beer, wine and spirits.
RESULTS: Among the states that legalized Sunday sales of alcoholic beverages, Delaware, Pennsylvania and New Mexico experienced significant increases in overall alcohol consumption (P < 0.05). However, the effect of the legalization of Sunday alcohol sales in Massachusetts and Rhode Island on per capita alcohol consumption was insignificant (P = 0.964 and P = 0.367).
CONCLUSIONS: Three out of five states in the United States that repealed their laws restricting Sunday sale of alcoholic beverages during 1990-2007 experienced significant increases in per capita alcohol consumption. This finding implies that increased alcohol availability leads to an increase in alcohol consumption.