Measuring long-term exposure to wildfire PM2.5 in California: Time-varying inequities in environmental burden.

Wildfires have become more frequent and intense due to climate change and outdoor wildfire fine particulate matter (PM2.5) concentrations differ from relatively smoothly varying total PM2.5. Thus, we introduced a conceptual model for computing long-term wildfire PM2.5 and assessed disproportionate exposures among marginalized communities. We used monitoring data and statistical techniques to characterize annual wildfire PM2.5 exposure based on intermittent and extreme daily wildfire PM2.5 concentrations in California census tracts (2006 to 2020). Metrics included: 1) weeks with wildfire PM2.5 < 5 µg/m3; 2) days with non-zero wildfire PM2.5; 3) mean wildfire PM2.5 during peak exposure week; 4) smoke waves (≥2 consecutive days with <15 µg/m3 wildfire PM2.5); and 5) mean annual wildfire PM2.5 concentration. We classified tracts by their racial/ethnic composition and CalEnviroScreen (CES) score, an environmental and social vulnerability composite measure. We examined associations of CES and racial/ethnic composition with the wildfire PM2.5 metrics using mixed-effects models. Averaged 2006 to 2020, we detected little difference in exposure by CES score or racial/ethnic composition, except for non-Hispanic American Indian and Alaska Native populations, where a 1-SD increase was associated with higher exposure for 4/5 metrics. CES or racial/ethnic × year interaction term models revealed exposure disparities in some years. Compared to their California-wide representation, the exposed populations of non-Hispanic American Indian and Alaska Native (1.68×, 95% CI: 1.01 to 2.81), white (1.13×, 95% CI: 0.99 to 1.32), and multiracial (1.06×, 95% CI: 0.97 to 1.23) people were over-represented from 2006 to 2020. In conclusion, during our study period in California, we detected disproportionate long-term wildfire PM2.5 exposure for several racial/ethnic groups.

Determinants, Costs, and Consequences of Common Bile Duct Injury Requiring Operative Repair Among Privately Insured Individuals in the United States, 2003-2020.

Objective: Characterize the determinants, all-cause mortality risk, and healthcare costs associated with common bile duct injury (CBDI) following cholecystectomy in a contemporary patient population. Background: Retrospective cohort study using nationwide patient-level commercial and Medicare Advantage claims data, 2003-2019. Beneficiaries ≥18 years who underwent cholecystectomy were identified using Current Procedure Terminology (CPT) codes. CBDI was defined by a second surgical procedure for repair within one year of cholecystectomy. Methods: We estimated the association of common surgical indications and comorbidities with risk of CBDI using logistic regression; the association between CBDI and all-cause mortality using Cox proportional hazards regression; and calculated average healthcare costs associated with CBDI repair. Results: Among 769,782 individuals with cholecystectomy, we identified 894 with CBDI (0.1%). CBDI was inversely associated with biliary colic (odds ratio [OR] = 0.82; 95% confidence interval [CI]: 0.71-0.94) and obesity (OR = 0.70, 95% CI: 0.59-0.84), but positively associated with pancreas disease (OR = 2.16, 95% CI: 1.92-2.43) and chronic liver disease (OR = 1.25, 95% CI: 1.05-1.49). In fully adjusted Cox models, CBDI was associated with increased all-cause mortality risk (hazard ratio = 1.57, 95% CI: 1.38-1.79). The same-day CBDI repair was associated with the lowest mean overall costs, with the highest mean overall costs for repair within 1 to 3 months. Conclusions: In this retrospective cohort study, calculated rates of CBDI are substantially lower than in prior large studies, perhaps reflecting quality-improvement initiatives over the past two decades. Yet, CBDI remains associated with increased all-cause mortality risks and significant healthcare costs. Patient-level characteristics may be important determinants of CBDI and warrant ongoing examination in future research.

Wildfire smoke exposure and emergency department visits for headache: A case-crossover analysis in California, 2006-2020.

OBJECTIVE: To evaluate the association of short-term exposure to overall fine particulate matter of <2.5 µm (PM2.5 ) and wildfire-specific PM2.5 with emergency department (ED) visits for headache. BACKGROUND: Studies have reported associations between PM2.5 exposure and headache risk. As climate change drives longer and more intense wildfire seasons, wildfire PM2.5 may contribute to more frequent headaches. METHODS: Our study included adult Californian members (aged ≥18 years) of a large de-identified commercial and Medicare Advantage claims database from 2006 to 2020. We identified ED visits for primary headache disorders (subtypes: tension-type headache, migraine headache, cluster headache, and "other" primary headache). Claims included member age, sex, and residential zip code. We linked daily overall and wildfire-specific PM2.5 to residential zip code and conducted a time-stratified case-crossover analysis considering 7-day average PM2.5 concentrations, first for primary headache disorders combined, and then by headache subtype. RESULTS: Among 9898 unique individuals we identified 13,623 ED encounters for primary headache disorders. Migraine was the most frequently diagnosed headache (N = 5534/13,623 [47.6%]) followed by "other" primary headache (N = 6489/13,623 [40.6%]). For all primary headache ED diagnoses, we observed an association of 7-day average wildfire PM2.5 (odds ratio [OR] 1.17, 95% confidence interval [CI] 0.95-1.44 per 10 µg/m3 increase) and by subtype we observed increased odds of ED visits associated with 7-day average wildfire PM2.5 for tension-type headache (OR 1.42, 95% CI 0.91-2.22), "other" primary headache (OR 1.40, 95% CI 0.96-2.05), and cluster headache (OR 1.29, 95% CI 0.71-2.35), although these findings were not statistically significant under traditional null hypothesis testing. Overall PM2.5 was associated with tension-type headache (OR 1.29, 95% CI 1.03-1.62), but not migraine, cluster, or "other" primary headaches. CONCLUSIONS: Although imprecise, these results suggest short-term wildfire PM2.5 exposure may be associated with ED visits for headache. Patients, healthcare providers, and systems may need to respond to increased headache-related healthcare needs in the wake of wildfires and on poor air quality days.

State Cannabis Legalization and Psychosis-Related Health Care Utilization.

Importance: Psychosis is a hypothesized consequence of cannabis use. Legalization of cannabis could therefore be associated with an increase in rates of health care utilization for psychosis. Objective: To evaluate the association of state medical and recreational cannabis laws and commercialization with rates of psychosis-related health care utilization. Design, Setting, and Participants: Retrospective cohort design using state-level panel fixed effects to model within-state changes in monthly rates of psychosis-related health care claims as a function of state cannabis policy level, adjusting for time-varying state-level characteristics and state, year, and month fixed effects. Commercial and Medicare Advantage claims data for beneficiaries aged 16 years and older in all 50 US states and the District of Columbia, 2003 to 2017 were used. Data were analyzed from April 2021 to October 2022. Exposure: State cannabis legalization policies were measured for each state and month based on law type (medical or recreational) and degree of commercialization (presence or absence of retail outlets). Main Outcomes and Measures: Outcomes were rates of psychosis-related diagnoses and prescribed antipsychotics. Results: This study included 63 680 589 beneficiaries followed for 2 015 189 706 person-months. Women accounted for 51.8% of follow-up time with the majority of person-months recorded for those aged 65 years and older (77.3%) and among White beneficiaries (64.6%). Results from fully-adjusted models showed that, compared with no legalization policy, states with legalization policies experienced no statistically significant increase in rates of psychosis-related diagnoses (medical, no retail outlets: rate ratio [RR], 1.13; 95% CI, 0.97-1.36; medical, retail outlets: RR, 1.24; 95% CI, 0.96-1.61; recreational, no retail outlets: RR, 1.38; 95% CI, 0.93-2.04; recreational, retail outlets: RR, 1.39; 95% CI, 0.98-1.97) or prescribed antipsychotics (medical, no retail outlets RR, 1.00; 95% CI, 0.88-1.13; medical, retail outlets: RR, 1.01; 95% CI, 0.87-1.19; recreational, no retail outlets: RR, 1.13; 95% CI, 0.84-1.51; recreational, retail outlets: RR, 1.14; 95% CI, 0.89-1.45). In exploratory secondary analyses, rates of psychosis-related diagnoses increased significantly among men, people aged 55 to 64 years, and Asian beneficiaries in states with recreational policies compared with no policy. Conclusions and Relevance: In this retrospective cohort study of commercial and Medicare Advantage claims data, state medical and recreational cannabis policies were not associated with a statistically significant increase in rates of psychosis-related health outcomes. As states continue to introduce new cannabis policies, continued evaluation of psychosis as a potential consequence of state cannabis legalization may be informative.

Trends and inequities in the diagnosis and treatment of poststroke depression: a retrospective cohort study of privately insured patients in the USA, 2003-2020.

BACKGROUND: Depression is a common neuropsychiatric consequence of stroke, but there is little empiric evidence regarding clinical diagnosis and management of poststroke depression. METHODS: Retrospective cohort study among 831 471 privately insured patients with first stroke in the USA from 2003 to 2020. We identified diagnoses of poststroke depression using codes from the International Classification of Diseases. We identified treatment based on prescriptions for antidepressants. We used Cox proportional hazards regression analysis to examine rates of poststroke depression diagnosis by gender, age and race/ethnicity. Among individuals who received a diagnosis of poststroke depression, we estimated treatment rates by gender, race/ethnicity and age using negative binomial regression analysis. RESULTS: Annual diagnosis and treatment rates for poststroke depression increased from 2003 to 2020 (both p for trend<0.001). Diagnosis rates were higher in women than men (HR 1.53, 95% CI 1.51 to 1.55), lower among members of racial/ethnic minorities (vs white patients: Asian HR 0.63, 95% CI 0.60 to 0.66; Black HR 0.76, 95% CI 0.74 to 0.78; Hispanic HR 0.88, 95% CI 0.86 to 0.90) and varied by age. Among individuals diagnosed with poststroke depression, 69.8% were prescribed an antidepressant. Rates of treatment were higher in women vs men (rate ratio, RR=1.19, 95% CI: 1.17 to 1.21), lower among members of racial/ethnic minorities (vs white patients: Asian RR 0.85, 95% CI 0.80 to 0.90; Black RR 0.92, 95% CI 0.89 to 0.94; Hispanic RR 0.96, 95% CI 0.93 to 0.99) and higher among older patients. CONCLUSIONS: In this insured population, we identify potential inequities in clinical management of poststroke depression by gender, race/ethnicity and age that may reflect barriers other than access to healthcare.

Inequities in paid parental leave across industry and occupational class: Drivers and simulated policy remedies.

Introduction: Paid family leave (PFL) has the potential to reduce persistent health disparities. This study aims to characterize differences in access to paid leave by industry sector and occupational class. Methods: The Bay Area Parental Leave Survey of Mothers included respondents 18 years of age or older who worked in the San Francisco Bay Area and gave birth from 2016 to 2017. Using linear probability models, we examined differences in five separate measures of PFL by industry sector and occupational class. We extended our regression analysis to simulate the full pay equivalent (FPE) weeks of leave that would have been taken under hypothetical scenarios of increased uptake and wage replacement rates. Results: Our study included 806 women in private for-profit or non-profit jobs. In fully adjusted models, blue-collar workers were 10.9% less likely to take 12 weeks of paid parental leave versus white-collar workers (95% CI: -25.9, 4.1). Respondents were 19.2% less likely receive 100% of their regular pay if they worked in education and health services (-29.1, -9.3) and 17.0% less likely if they worked in leisure and hospitality (-29.5, -4.4) versus respondents in professional and financial services. Respondents in leisure and hospitality reported 1.6 fewer FPE weeks of leave versus respondents in professional and financial services (-2.73, -0.42) and blue-collar respondents reported an average of 1.5 fewer FPE weeks versus white-collar workers (-2.66, -0.42). In our simulation analysis, when we manipulated rates of uptake for paid leave, the disparities in FPE by industry sector and occupational class were eliminated. Conclusion: We observed substantial inequities in access to paid leave by industry sector and occupational class. These findings underscore the potential importance of universal PFL programs with universal benefits to reduce clear inequities that persist within the labor market today.

African American Unemployment and the Disparity in Periviable Births.

Periviable infants (i.e., born before 26 complete weeks of gestation) represent fewer than .5% of births in the US but account for 40% of infant mortality and 20% of billed hospital obstetric costs. African American women contribute about 14% of live births in the US, but these include nearly a third of the country's periviable births. Consistent with theory and with periviable births among other race/ethnicity groups, males predominate among African American periviable births in stressed populations. We test the hypothesis that the disparity in periviable male births among African American and non-Hispanic white populations responds to the African American unemployment rate because that indicator not only traces, but also contributes to, the prevalence of stress in the population. We use time-series methods that control for autocorrelation including secular trends, seasonality, and the tendency to remain elevated or depressed after high or low values. The racial disparity in male periviable birth increases by 4.45% for each percentage point increase in the unemployment rate of African Americans above its expected value. We infer that unemployment-a population stressor over which our institutions exercise considerable control-affects the disparity between African American and non-Hispanic white periviable births in the US.

Working: The Role of Occupational Epidemiology.

The coronavirus disease 2019 (COVID-19) pandemic has redemonstrated the importance of work as a determinant of health. During the pandemic, extant disparities were accentuated as the workforce was divided into the roughly 50% who could safely work from home and those who could not. With the spotlight on work, one might wonder where all the occupational epidemiologists have gone. To answer, we point to diminished research support and more limited workplace access that have led many epidemiologists to shift away from a focus on workers toward other vulnerable populations. Here we build on the renewed interest in work as a driver of health and inequality during the pandemic to highlight contributions of occupational epidemiology to public health. We consider: 1) etiological studies of chronic disease based on employment records to define cohorts and reconstruct long-term exposure; 2) studies of hypothetical interventions that are particularly appropriate for evaluating potential regulations to reduce workplace exposures; and 3) studies of disparities that take advantage of work as a potential source of social stratification and economic opportunity. As we have learned during the COVID-19 pandemic, workplaces can become venues for public health messaging and delivering interventions to enumerated populations of adults. By starting with COVID-19 prevention policies for the workplace, we have a chance to better protect public health.

Does the Implementation of Reference Pricing Result in Reduced Utilization? Evidence From Inpatient and Outpatient Procedures.

Reference pricing (RP) is an insurance design that can be used to incentivize patients to use low-price settings. While RP is not intended to affect overall utilization, it could unintentionally reduce utilization. We examined whether utilization was reduced when a large employer adopted RP for selected elective surgeries, including inpatient joint replacement surgery and outpatient cataract surgery, colonoscopy, and arthroscopic surgery. Data included a treatment group subject to RP implementation and a comparison group that was not. We applied autoregressive integrated moving average analysis as comparison-population interrupted time-series analysis to determine whether there were procedure reductions following RP implementation. We find no evidence of short-term decreases (within 3 months of RP implementation). However, we find very modest declines of approximately 14 (20%) fewer arthroscopic knee surgeries 6 months after RP implementation and 129 (17.2%) fewer colonoscopies 8 months after RP implementation. There were no declines in the other procedures examined.

Anomalously warm weather and acute care visits in patients with multiple sclerosis: A retrospective study of privately insured individuals in the US.

BACKGROUND: As the global climate changes in response to anthropogenic greenhouse gas emissions, weather and temperature are expected to become increasingly variable. Although heat sensitivity is a recognized clinical feature of multiple sclerosis (MS), a chronic demyelinating disorder of the central nervous system, few studies have examined the implications of climate change for patients with this disease. METHODS AND FINDINGS: We conducted a retrospective cohort study of individuals with MS ages 18-64 years in a nationwide United States patient-level commercial and Medicare Advantage claims database from 2003 to 2017. We defined anomalously warm weather as any month in which local average temperatures exceeded the long-term average by ≥1.5°C. We estimated the association between anomalously warm weather and MS-related inpatient, outpatient, and emergency department visits using generalized log-linear models. From 75,395,334 individuals, we identified 106,225 with MS. The majority were women (76.6%) aged 36-55 years (59.0%). Anomalously warm weather was associated with increased risk for emergency department visits (risk ratio [RR] = 1.043, 95% CI: 1.025-1.063) and inpatient visits (RR = 1.032, 95% CI: 1.010-1.054). There was limited evidence of an association between anomalously warm weather and MS-related outpatient visits (RR = 1.010, 95% CI: 1.005-1.015). Estimates were similar for men and women, strongest among older individuals, and exhibited substantial variation by season, region, and climate zone. Limitations of the present study include the absence of key individual-level measures of socioeconomic position (i.e., race/ethnicity, occupational status, and housing quality) that may determine where individuals live-and therefore the extent of their exposure to anomalously warm weather-as well as their propensity to seek treatment for neurologic symptoms. CONCLUSIONS: Our findings suggest that as global temperatures rise, individuals with MS may represent a particularly susceptible subpopulation, a finding with implications for both healthcare providers and systems.

Language-Related Disparities in Pain Management in the Post-Anesthesia Care Unit for Children Undergoing Laparoscopic Appendectomy.

Race and ethnicity are associated with disparities in pain management in children. While low English language proficiency is correlated with minority race/ethnicity in the United States, it is less frequently explored in the study of health disparities. We therefore investigated whether English language proficiency influenced pain management in the post-anesthesia care unit (PACU) in a cohort of children who underwent laparoscopic appendectomy at our pediatric hospital in San Francisco. Our primary exposure was English language proficiency, and our primary outcome was administration of any opioid medication in the PACU. Secondary outcomes included the amount of opioid administered in the PACU and whether any pain score was recorded during the patient's recovery period. Statistical analysis included adjusting for demographic covariates including race in estimating the effect of language proficiency on these outcomes. In our cohort of 257 pediatric patients, 57 (22.2%) had low English proficiency (LEP). While LEP and English proficient (EP) patients received the same amount of opioid medication intraoperatively, in multivariable analysis, LEP patients had more than double the odds of receiving any opioid in the PACU (OR 2.45, 95% CI 1.22-4.92). LEP patients received more oral morphine equivalents (OME) than EP patients (1.64 OME/kg, CI 0.67-3.84), and they also had almost double the odds of having no pain score recorded during their PACU recovery period (OR 1.93, CI 0.79-4.73), although the precision of these estimates was limited by small sample size. Subgroup analysis showed that children over the age of 5 years, who were presumably more verbal and would therefore undergo verbal pain assessments, had over triple the odds of having no recorded pain score (OR 3.23, CI 1.48-7.06). In summary, English language proficiency may affect the management of children's pain in the perioperative setting. The etiology of this language-related disparity is likely multifactorial and should be investigated further.

Among Low-Income Women In San Francisco, Low Awareness Of Paid Parental Leave Benefits Inhibits Take-Up.

Paid family leave policies have the potential to reduce health disparities, yet access to paid leave remains limited and unevenly distributed in the United States. Using California administrative claims data, we examined the impact of the San Francisco Paid Parental Leave Ordinance, the first in the US to provide parental leave with full pay. We found that the law increased parental leave uptake in San Francisco by 13 percent among fathers, but there was little change in leave among mothers. Data from a survey of mothers suggest that the limited impact may be partly a result of low understanding of benefits. Lower-income mothers reported even less knowledge of their maternity leave benefits than other mothers, and fewer than 2 percent of lower-income mothers had accurate information about the policy. The San Francisco policy also excludes small employers, which further limits its reach among low-income workers. A simpler universal policy may be more effective in expanding parental leave among vulnerable workers.

Smoke-Free or Not: Attitudes Toward Indoor Smoke-Free Policies Among Permanent Supportive Housing Residents.

PURPOSE: Interventions for tobacco dependence are most effective when combined with smoke-free policies, yet such policies are rare in permanent supportive housing (PSH) for formerly homeless adults. We aimed to provide in-depth analysis of attitudes and barriers to and facilitators of implementing smoke-free policies in PSH. APPROACH: Current smokers living in PSH completed a questionnaire and participated in in-depth, semistructured interviews on smoking history, attitudes toward smoke-free policies, and perceived barriers to cessation. SETTING: We collaborated with 6 San Francisco Bay Area PSH agencies. PARTICIPANTS: Thirty-six residents in PSH. METHODS: Interviews, conducted by trained interviewers, were digitally recorded, transcribed, and analyzed using content analysis methods. Participants were recruited until we reached thematic saturation, or no new themes emerged from the interviews. RESULTS: Over half of participants (52.8%, n = 19) reported depression, and 97.2% (n = 35) reported current substance use. Support for indoor smoking bans in living areas was modest (33.1%), although most residents anticipated cutting down (61%) and reported they would not move because of a smoking ban (77.8%). There was interest in quitting smoking, although co-use of tobacco with other substances was a major barrier. CONCLUSION: This study is the first to explore attitudes toward smoke-free policies in PSH. We found that residents in PSH support smoke-free policies and consider them feasible if implementation processes are sound. Our findings underscore the need to address barriers to adopting smoke-free policies and accessing smoking cessation services. In particular, interventions must address the co-use of tobacco with other substances and the impact of smoking on financial and housing stability.