Homelessness Among Acute Care Patients Within a Large Health Care System in Northern California.

The impacts of homelessness on health and health care access are detrimental. Intervention and efforts to improve outcomes and increase availability of affordable housing have mainly originated from the public health sector and government. The role that large community-based health systems may play has yet to be established. This study characterizes patients self-identified as homeless in acute care facilities in a large integrated health care system in Northern California to inform the development of collaborative interventions addressing unmet needs of this vulnerable population. The authors compared sociodemographic characteristics, clinical conditions, and health care utilization of individuals who did and did not self-identify as homeless and characterized their geographical distribution in relation to Sutter hospitals and homeless resources. Between July 1, 2019 and June 30, 2020, 5% (N = 20,259) of the acute care settings patients had evidence of homelessness, among which 51.1% age <45 years, 66.4% males, and 24% non-Hispanic Black. Patients experiencing homelessness had higher emergency department utilization and lower utilization of outpatient and urgent care services. Mental health conditions were more common among patients experiencing homelessness. More than half of the hospitals had >5% of patients who identified as homeless. Some hospitals with higher proportions of patients experiencing homelessness are not located near many shelter resources. By understanding patients who self-identify as homeless, it is possible to assess the role of the health system in addressing their unmet needs. Accurate identification is the first step for the health systems to develop and deliver better solutions through collaborations with nonprofit organizations, community partners, and government agencies.

Unusual outbreaks of curly top disease in processing tomato fields in northern California in 2021 and 2022 were caused by a rare strain of beet curly top virus and facilitated by extreme weather events.

In the western United States, curly top disease (CTD) is caused by beet curly top virus (BCTV). In California, CTD causes economic loss to processing tomato production in central and southern areas but, historically, not in the north. Here, we document unusual CTD outbreaks in processing tomato fields in the northern production area in 2021 and 2022, and show that these were caused by the rare spinach curly top strain (BCTV-SpCT). These outbreaks were associated with proximity of fields to foothills and unusually hot, dry, and windy spring weather conditions, possibly by altering migrations of the beet leafhopper (BLH) vector from locations with BCTV-SpCT reservoirs. Support for this hypothesis came from the failure to observe CTD outbreaks and BLH migrations in 2023, when spring weather conditions were cool and wet. Our results show the climate-induced emergence of a rare plant virus strain to cause an economically important disease in a new crop and location.

Screening Practices and Risk Factors for Co-Infection with Latent Tuberculosis and Hepatitis B Virus in an Integrated Healthcare System - California, 2008-2019.

BACKGROUND: Hepatitis B virus (HBV) and latent tuberculosis infection are associated with a significant global burden, but both are underdiagnosed and undertreated. We described the screening patterns and risk factors for co-infection with latent tuberculosis and HBV within a large healthcare system. METHODS: Using data from Kaiser Permanente Southern California during 2008-2019, we described HBV infections, defined as a positive HBV surface antigen, e-antigen, or DNA test, and latent tuberculosis, defined as a positive Mantoux tuberculin skin test or interferon-gamma release assay test. We estimated adjusted odds ratios (aOR) for co-infection among screened adults with either infection. RESULTS: Among 1997 HBV patients screened for latent tuberculosis, 23.1% were co-infected, and among 35,820 patients with latent tuberculosis screened for HBV, 1.3% were co-infected. Among HBV patients, co-infection risk was highest among Asians compared with White race/ethnicity (29.4% vs 5.7%, aOR 4.78; 95% confidence interval [CI], 2.75-8.31), and persons born in a high-incidence country compared with low-incidence countries (31.0% vs 6.6%; aOR 4.19; 95% CI, 2.61-6.73). For patients with latent tuberculosis, risk of co-infection was higher among Asian (aOR 9.99; 95% CI, 5.79-17.20), or Black race/ethnicity (aOR 3.33; 95% CI, 1.78-6.23) compared with White race/ethnicity. Persons born in high-incidence countries had elevated risk of co-infection compared with persons born in low-incidence countries (aOR 2.23; 95% CI, 1.42-3.50). However, Asians or persons born in high-incidence countries were screened at similar rates to other ethnicities or persons born in low-incidence countries. CONCLUSIONS: Latent tuberculosis risk is elevated among HBV patients, and vice versa. Risk of co-infection was highest among persons born in high-incidence countries and Asians. These findings support recent guidelines to increase HBV and tuberculosis screening, particularly among persons with either infection.

Associations between Changes in Food Acquisition Behaviors, Dietary Intake, and Bodyweight during the COVID-19 Pandemic among Low-Income Parents in California.

COVID-19 disrupted food access, potentially increasing nutritional risk and health inequities. This study aimed to describe and assess associations between changes in food/meal acquisition behaviors and relative changes in dietary intake and bodyweight from before to during the pandemic. Low-income parents (n = 1090) reported these changes by online survey in April-August 2021. Associations were assessed by multinomial logistic regression. Compared to those with no change, those who decreased supermarket shopping had greater odds of decreased fruit and vegetable (FV; OR[95%CI] = 2.4[1.4-4.1]) and increased salty snack intakes (OR[95%CI] = 1.7[1.0-2.8]). Those who decreased farmer's market shopping had greater odds of decreased FV intake (OR[95%CI] = 1.8[1.0-3.1]), increased bodyweight (OR[95%CI] = 1.7[1.1-2.6]), and increased SSB (OR[95%CI] = 1.9[1.1-3.2]) and sweets intakes (OR[95%CI] = 1.8[1.1-2.9]). Those who increased online food ordering had greater odds of increased sweets (OR[95%CI] = 1.7[1.1-2.8]), salty snacks (OR[95%CI] = 1.9[1.2-3.2]), and fast food (OR[95%CI] = 2.0[1.2-3.5]) intakes and bodyweight (OR[95%CI] = 1.8[1.1-2.9]). Those who increased healthy meal preparation had greater odds of increased FV intake (OR[95%CI] = 4.0[2.5-6.5]), decreased SSB (OR[95%CI] = 3.7[2.3-6.0]), sweets (OR[95%CI] = 2.7[1.6-4.4]), salty snacks (OR[95%CI] = 3.0[1.8-5]) and fast food intakes (OR[95%CI] = 2.8[1.7-4.6]) and bodyweight (OR[95%CI] = 2.2[1.2-4.0]). Interventions to address the potentially negative impacts of online food/meal shopping and support healthy home cooking may be needed to improve nutrition-related outcomes and reduce health disparities in the aftermath of the current pandemic and during future emergencies requiring similar restrictions.

Trends in firearm injury in a southern California health care system from 2010 to 2020.

BACKGROUND: Firearm injury is a significant public health concern in the United States. METHODS: Data on fatal and nonfatal firearm injuries were obtained from a cohort of N = 7,473,650 members of Kaiser Permanente Southern California, a large integrated healthcare system between 2010 and 2020. Age-adjusted rates of combined fatal and nonfatal firearm injury per 100,000 members were calculated by year, with the 2010 US census as the reference population. Trends were evaluated using Poisson or negative binomial regression. RESULTS: There was an increasing trend in overall firearm injuries between 2010 and 2020 among adults in this large integrated healthcare system (p < .0001), primarily driven by non-self-inflicted firearm injuries (p < .0001). Self-inflicted injuries decreased during this time (p = .01). Injuries among youth showed no significant change. CONCLUSION: There was an increasing trend in firearm injuries between 2010 and 2020 among adults in this large integrated healthcare system, primarily driven by non-self-inflicted firearm injuries; however, self-inflicted injuries decreased during this time. Injuries among youth showed no significant change.

Risk Factors for Not Completing a 2-Dose Primary Series of Messenger RNA COVID-19 Vaccination in a Large Health Care System in Southern California: Retrospective Cohort Study.

BACKGROUND: COVID-19 vaccination is crucial in combating the COVID-19 pandemic. Messenger RNA COVID-19 vaccines were initially authorized as a 2-dose primary series and have been widely used in the United States; completing the 2-dose primary series offers protection against infection, severe illness, and death. Understanding the risk factors for not completing the 2-dose primary series is critical to evaluate COVID-19 vaccination programs and promote completion of the 2-dose primary series. OBJECTIVE: This study examined potential risk factors for not completing a 2-dose primary series of mRNA COVID-19 vaccination. METHODS: We conducted a retrospective cohort study among members aged ≥18 years from a large integrated health care system, Kaiser Permanente Southern California, from December 14, 2020, to June 30, 2022. Noncompletion of the 2-dose primary series was defined as not completing the second dose within 6 months after receipt of the first dose. Crude noncompletion rates were estimated overall and by demographic characteristics, health care use patterns, comorbidity, and community-level socioeconomic factors. A Poisson regression model was fit to examine associations of individual-level and community-level risk factors with noncompletion of the 2-dose primary series. RESULTS: Among 2.5 million recipients of ≥1 dose of mRNA COVID-19 vaccines, 3.3% (n=81,202) did not complete the second dose within 6 months. Members aged 25-44 years, 65-74 years, and ≥75 years were less likely to not complete the 2-dose primary series than those aged 18-24 years, while members aged 45-64 years were more likely to not complete the 2-dose primary series (adjusted risk ratio [aRR] 1.13, 95% CI 1.10-1.15). Male sex was associated with a higher risk of noncompletion (aRR 1.17, 95% CI 1.15-1.19). Hispanic and non-Hispanic Black race/ethnicity were associated with a lower risk of noncompletion (range aRR 0.78-0.91). Having Medicaid and prior influenza vaccination were associated with a higher risk of noncompletion. Having SARS-CoV-2 infection, experiencing an adverse event, or having an inpatient and emergency department visit during the minimum recommended dose intervals were associated with a higher risk of not completing the 2-dose primary series (aRR 1.98, 95% CI 1.85-2.12; 1.99, 95% CI 1.43-2.76; and 1.85, 95% CI 1.77-1.93, respectively). Those who received the first dose after June 30, 2021, were more likely to not complete the 2-dose primary series within 6 months of receipt of the first dose. CONCLUSIONS: Despite limitations such as being a single-site study and the inability to consider social factors such as employment and vaccine attitudes, our study identified several risk factors for not completing a 2-dose primary series of mRNA vaccination, including being male; having Medicaid coverage; and experiencing SARS-CoV-2 infection, adverse events, or inpatient and emergency department visits during the minimum recommended dose intervals. These findings can inform future efforts in developing effective strategies to enhance vaccination coverage and improve the completion rate of necessary doses.

Association between maternal prenatal cannabis use and missed child preventive care visits in an integrated health care delivery system in Northern California.

The periodicity of well-child visits recommended by the American Academy of Pediatrics emphasizes the importance of continuity of care in health management. Exposure to cannabis in utero has been associated with adverse development, and adherence to well-child visits is critical for earlier detection and intervention. To assess whether maternal prenatal cannabis use was associated with missed well-child visits in the first three years after birth we conducted a longitudinal cohort study in Kaiser Permanente Northern California of pregnant individuals and their children born between January 1, 2011 and December 31, 2018. Maternal prenatal cannabis use was defined as any self-reported cannabis use since becoming pregnant and/or a positive urine toxicology test for cannabis during pregnancy. Well-child visits were defined as an encounter for a well-child visit or physical exam and categorized into seven time periods from birth to 36 months. Modified Poisson regression models were conducted. Of the 168,589 eligible pregnancies, 3.4% screened positive for maternal prenatal cannabis use. Compared to no use, maternal prenatal cannabis use was associated with more missed well-child visits at every time period; (missed 12-month visit: adjusted relative risk (aRR): 1.43, 95%CI: 1.32-1.54; missed 3-year visit: aRR: 1.15, 95%CI: 1.11-1.20). Maternal prenatal cannabis use was also associated with missing two or more well-child visits through 36 months of age (35.8% among cannabis users vs. 23.0% among non-users, Χ2p < .001). Educating pregnant individuals who use cannabis on the importance of well-child visits may benefit children's health and development.

Structural Racism and Adolescent Mental Health Disparities in Northern California.

Importance: Understanding how structural racism is associated with adolescent mental health is critical to advance health equity. Objective: To assess associations between neighborhood privilege, measured by the Index of Concentration at the Extremes (ICE) and adolescent depressive symptoms, suicidality, and related racial and ethnic disparities. Design, Setting, and Participants: This was a retrospective cohort study using electronic health records of adolescents aged 12 to 16 years who attended well-teen visits between 2017 and 2021. Kaiser Permanente Northern California is an integrated health care delivery system serving 4.6 million members. The cohort included 34 252 individuals born singleton at an affiliated facility from January 1, 2005, to December 31, 2009, and who had completed at least 1 mental health screener during a well-teen visit by November 23, 2021. Exposures: American Community Survey 2016 to 2021 5-year estimates were used to calculate ICE scores for adolescents' residential census tract at ages 10 to 11. Three ICE measures were used as proxies of structural racism: racial privilege (ICE-race and ethnicity; hereinafter ICE-race), economic privilege (ICE-income), and combined economic and racial privilege (ICE-income plus race and ethnicity; herinafter ICE-income plus race). ICE scores were categorized into quintiles based on California statewide distributions. Main Outcomes and Measures: Depressive symptoms and suicidality were assessed through self-report screeners during well-teen visits. Depressive symptoms were considered to be present if patients had a score on the Patient Health Questionnaire-2 of 3 or higher (the tool uses a Likert scale to determine the frequency [0 = not at all; 3 = nearly every day] that they had depressed mood and lack of pleasure in usual activities in the past 2 weeks; responses were summed and dichotomized). Results: Analyses included 34 252 adolescents (12-16 years of age; mean [SD] age, 13.7 [0.8] years; 17 557 [51.3%] male, 7284 [21.3%] Asian or Pacific Islander, 2587 [7.6%] Black], 9061 [26.5%] Hispanic, 75 [0.2%] American Indian or Indigenous, 12 176 [35.5%] White, and 3069 [9%] other or unknown). Risks of depressive symptoms and suicidality generally increased with each level of declining neighborhood privilege. Adjusted risk ratios comparing adolescents from neighborhoods with the least to most racial and economic privilege were 1.37 (95% CI, 1.20-1.55) for depressive symptoms and 1.59 (95% CI, 1.23-2.05) for suicidality. Racial disparities between Black and White youth and Hispanic and White youth decreased after adjusting for each ICE measure, and became nonsignificant in models adjusting for ICE-race and ICE-income plus race. Conclusions and Relevance: In this cohort study, lower neighborhood privilege was associated with greater risks of adolescent depressive symptoms and suicidality. Furthermore, adjusting for neighborhood privilege reduced mental health disparities affecting Black and Hispanic adolescents. These findings suggest that efforts to promote equity in adolescent mental health should extend beyond the clinical setting and consider the inequitable neighborhood contexts that are shaped by structural racism.

Dietary supplement adulteration - knowledge, attitudes, and practices of California health care professionals: A cross-sectional survey study.

OBJECTIVE: To assess knowledge, attitudes, and practices surrounding dietary supplements (DS) among California health care professionals (HCPs) and assess factors contributing to the frequency with which HCPs discuss DS with patients. METHODS: In this cross-sectional study, an online questionnaire was distributed to HCPs in California from December 2021-April 2022 via professional membership email listservs. RESULTS: Among 514 HCPs, overall knowledge of DS did not vary significantly by professional group, and 90% had received little to no DS education. Pharmacists (OR = 0.328, p = 0.0001) and those with less reported DS education (OR = 0.58, p = 0.0045; OR = 0.075, p = 0.0097) had a decreased likelihood of initiating conversations about DS more frequently. Females (OR = 2.5, p < 0.0001) and those with a higher knowledge score (OR = 1.2, p = 0.0297) had an increased likelihood of initiating conversations about DS more frequently. CONCLUSIONS: HCPs acknowledge the clinical significance of DS adulteration and would benefit from additional informational resources to reduce the adverse effects associated with adulterated supplements. PRACTICE IMPLICATIONS: HCPs initiate more conversations about DS use when they are more informed and will gain from staying up to date on DS-related information to encourage more patient communication.

Observed Improvement in Cognition During a Personalized Lifestyle Intervention in People with Cognitive Decline.

BACKGROUND: Alzheimer's disease (AD) is a chronic condition marked by progressive objective cognitive impairment (OCI). No monotherapy has substantially altered disease progression, suggesting the disease is multifactorial and may require a multimodal therapeutic approach. OBJECTIVE: We sought to determine if cognitive function in a sample with OCI would change in response to a multimodal, individualized care plan based on potential contributors to cognitive decline (e.g., nutritional status, infection, etc.). METHODS: Participants (n = 34) were recruited from the San Diego, CA area. The multimodal intervention included lifestyle changes (i.e., movement, diet, and stress management), nutraceutical support, and medications. It was delivered pragmatically over four clinical visits, and outcome measures were gathered at four study visits, occurring at baseline, one, three, and six months (primary endpoint). Study participants received weekly phone calls for nutrition support throughout study participation. Outcome measures included the Cambridge Brain Sciences (CBS) battery, and the Montreal Cognitive Assessment (MoCA). RESULTS: At 6 months, mean MoCA scores improved from 19.6±3.1 to 21.7±6.2 (p = 0.013). Significant improvement was observed in mean scores of the CBS memory domain [25.2 (SD 23.3) to 35.8 (SD 26.9); p < 0.01] and CBS overall composite cognition score [24.5 (SD 16.1) to 29.7 (SD 20.5); p = 0.02]. All CBS domains improved. CONCLUSION: Multiple measures of cognitive function improved after six months of intervention. Our results support the feasibility and impact of a multimodal, individualized treatment approach to OCI, warranting further research.

Dashboards as Mechanisms for Community Empowerment: Developing a Prototype for Child and Adolescent Well-being in California.

CONTEXT: In recent years, stakeholders in public health have emphasized measuring young peoples' well-being as a more holistic and upstream approach to understanding their health and development. However, summarizing the available indicators of well-being in ways that strengthen ongoing policy and community efforts remains a challenge. PROGRAM: Our objective was to develop a measurement framework of young peoples' well-being that would be engaging and actionable to a broad and diverse set of stakeholders in California. IMPLEMENTATION: We began with a scan of the relevant literature documenting previous efforts to measure young peoples' well-being, both within the United States and internationally. Subsequently, we individually interviewed a set of key informants and then convened a multidisciplinary panel of experts to solicit feedback on our approach. Throughout this iterative and collaborative process, we developed and refined a measurement framework based on the information provided across these various sources. EVALUATION: Findings suggest data dashboards are a promising approach for presenting a parsimonious yet holistic picture of young peoples' well-being. Dashboards can highlight well-being's multidimensionality by categorizing indicators over different domains. Our framework organizes indicators over 5 types: child-centric, subjective well-being, contextual determinants, developmental, and equity-focused. The design and flexibility of dashboards can also highlight important gaps in data collection that are of interest to end users such as indicators not yet collected among the broader population. Furthermore, dashboards can include interactive features, such as selecting key data elements, that can help communities articulate priority areas for policy action, thereby generating momentum and enthusiasm for future iterations and improvements. DISCUSSION: Data dashboards are well suited for engaging a variety of stakeholders on complex multidimensional concepts such as young peoples' well-being. However, to fulfill their promise, they should be codesigned and codeveloped through an iterative process with the stakeholders and community members they intend to serve.

Bioanalytical and non-targeted mass spectrometric screening for contaminants of emerging concern in Southern California bight sediments.

Assessing the impact of chemical contaminants on aquatic ecosystem health remains challenging due to complex exposure scenarios and the myriad of impact metrics to consider. To expand the breadth of compounds monitored and evaluate the potential hazard of environmental mixtures, cell-based bioassays (estrogen receptor alpha (ERα) and aryl hydrocarbon receptor (AhR)) and non-targeted chemical analyses with high resolution mass spectrometry (NTA-HRMS) were used to assess the quality of ∼70 marine sediment samples collected from 5 distinct coastal and offshore habitats of the Southern California Bight. AhR responses (<0.12-4.5 ng TCDD/g dry weight) were more frequently detectable and more variable than for ERα (<0.1-0.5 ng E2/g dry weight). The range of AhR and ERα responses increased by habitat as follows: Channel Islands < Mid-shelf < Marinas < Ports < Estuaries. The narrow range and magnitude of ERα screening response suggested limited potential for estrogenic impacts across sediments from all 5 habitats. The AhR response was positively correlated with total PAH and PCB concentrations and corresponded with a chemical score index representing the severity of metal and organic contamination. NTA-HRMS fingerprints generated in positive electrospray ionization mode were clearly distinguishable among coastal vs. offshore samples, with the greatest chemical complexity (n = 982 features detected) observed in estuarine sediment from a highly urbanized watershed (Los Angeles River). The concordance and complementary nature of bioscreening and NTA-HRMS results indicates their utility as holistic proxies for sediment quality, and when analyzed in conjunction with routine targeted chemical monitoring, show promise in identifying unexpected contaminants and novel toxicants.

Identifying Predictors of Homelessness Among Adults in a Large Integrated Health System in Northern California.

Introduction Homelessness contributes to worsening health and increased health care costs. There is little published research that leverages rich electronic health record (EHR) data to predict future homelessness risk and inform interventions to address it. The authors' objective was to develop a model for predicting future homelessness using individual EHR and geographic data covariates. Methods This retrospective cohort study included 2,543,504 adult members (≥ 18 years old) from Kaiser Permanente Northern California and evaluated which covariates predicted a composite outcome of homelessness status (hospital discharge documentation of a homeless patient, medical diagnosis of homelessness, approved medical financial assistance application for homelessness, and/or "homeless/shelter" in address name). The predictors were measured in 2018-2019 and included prior diagnoses and demographic and geographic data. The outcome was measured in 2020. The cohort was split (70:30) into a derivation and validation set, and logistic regression was used to model the outcome. Results Homelessness prevalence was 0.35% in the overall sample. The final logistic regression model included 26 prior diagnoses, demographic, and geographic-level predictors. The regression model using the validation set had moderate sensitivity (80.4%) and specificity (83.2%) for predicting future cases of homelessness and achieved excellent classification properties (area under the curve of 0.891 [95% confidence interval = 0.884-0.897]). Discussion This prediction model can be used as an initial triage step to enhance screening and referral tools for identifying and addressing homelessness, which can improve health and reduce health care costs. Conclusions EHR data can be used to predict chance of homelessness at a population health level.

Patient-Reported Barriers to Treatment Initiation and Completion for Latent Tuberculosis Infection Among Patients Within a Large Integrated Health Care System in Southern California.

OBJECTIVE: More than 80% of active tuberculosis in the United States is due to reactivation of latent tuberculosis infection (LTBI), which can be prevented via screening and treatment. Treatment initiation and completion rates are low for patients with LTBI in the United States, and the barriers to successful treatment are poorly understood. DESIGN: We conducted semistructured qualitative interviews with 38 patients who were prescribed LTBI treatment (9 months isoniazid, 6 months rifampin, or 3 months rifamycin-isoniazid short-course combinations). We used purposeful sampling employing a maximum variation approach to obtain diverse perspectives of patients who did not initiate treatment, who did not complete treatment, and who completed treatment (n = 14, n = 16, and n = 8, respectively). Patients were asked about LTBI knowledge, experience regarding treatment, interactions with providers, and barriers they faced. Using a team coding model (2 coders/analysts), we developed deductively derived (a priori) codes based on our central research questions and inductively derived codes that emerged directly from the data. Analysis of our coding categories and relationships generated a hierarchy of key themes and subthemes. SETTING: Kaiser Permanente Southern California. PARTICIPANTS: Individuals 18 years or older who received a diagnosis of LTBI and prescribed treatment. MAIN OUTCOME MEASURES: LTBI knowledge, attitudes toward LTBI, attitudes toward LTBI treatment, attitudes toward providers, and explanation of barriers. RESULTS: Most patients reported having limited knowledge of LTBI. In addition to the duration of treatment, barriers to initiation and completion included perceived lack of support, uncomfortable side effects, and pervasive minimization of the positive impact of treatment on their health. Many patients felt there was little incentive to overcome barriers. CONCLUSIONS: Overall, patient experience with LTBI treatment initiation and completion could be improved with patient-centered treatment and more frequent follow-ups.

Association of Long-term Exposure to Particulate Air Pollution With Cardiovascular Events in California.

Importance: Long-term exposure to fine particulate air pollution (PM2.5) is a known risk factor for cardiovascular events, but controversy remains as to whether the current National Ambient Air Quality Standard (12 µg/m3 for 1-year mean PM2.5) is sufficiently protective. Objective: To evaluate the associations between long-term fine particulate air pollution and cardiovascular events using electronic health record and geocoded address data. Design, Setting, and Participants: This retrospective cohort study included adults in the Kaiser Permanente Northern California integrated health care system during 2007 to 2016 and followed for up to 10 years. Study participants had no prior stroke or acute myocardial infarction (AMI), and lived in Northern California for at least 1 year. Analyses were conducted January 2020 to December 2022. Exposure: Long-term exposure to PM2.5. Individual-level time-varying 1-year mean PM2.5 exposures for every study participant were updated monthly from baseline through the end of follow-up, accounting for address changes. Main Outcomes and Measures: Incident AMI, ischemic heart disease (IHD) mortality, and cardiovascular disease (CVD) mortality. Cox proportional hazards models were fit with age as time scale, adjusted for sex, race and ethnicity, socioeconomic status, smoking, body mass index, baseline comorbidities, and baseline medication use. Associations below the current regulation limit were also examined. Results: The study cohort included 3.7 million adults (mean [SD] age: 41.1 [17.2] years; 1 992 058 [52.5%] female, 20 205 [0.5%] American Indian or Alaskan Native, 714 043 [18.8%] Asian, 287 980 [7.6%] Black, 696 796 [18.4%] Hispanic, 174 261 [4.6%] multiracial, 1 904 793 [50.2%] White). There was a 12% (95% CI, 7%-18%) increased risk of incident AMI, a 21% (95% CI, 13%-30%) increased risk of IHD mortality, and an 8% (95% CI, 3%-13%) increased risk of CVD mortality associated with a 10 µg/m3 increase in 1-year mean PM2.5. PM2.5 exposure at moderate concentrations (10.0 to 11.9 µg/m3) was associated with increased risks of incident AMI (6% [95% CI, 3%-10%]) and IHD mortality (7% [95% CI, 2%-12%]) compared with low concentrations (less than 8 µg/m3). Conclusions and Relevance: In this study, long-term PM2.5 exposure at moderate concentrations was associated with increased risks of incident AMI, IHD mortality, and CVD mortality. This study's findings add to the evidence that the current regulatory standard is not sufficiently protective.

Racial Disparities in Severe Maternal Morbidity in an Integrated Health Care System, Southern California, 2008-2017.

OBJECTIVE: The study's objectives were to examine rates of severe maternal morbidity (SMM) over a 10-year period and assess racial/ethnic disparities in SMM among insured women in a large, integrated health care system in Southern California. METHODS: We included Kaiser Permanente Southern California (KPSC) health plan members who gave birth at ≥20 weeks' gestation in a KPSC-owned hospital during 2008-2017. An SMM case was defined as presence of one or more indicators of an SMM event during a birth hospitalization, identified using maternal electronic health records. Crude SMM rates/10,000 births were calculated by year and maternal race/ethnicity. Modified Poisson regression models were used to assess the association between race/ethnicity and SMM adjusted for other maternal demographics, pregnancy characteristics, and preexisting conditions. RESULTS: We identified 5,915 SMM cases among 335,310 births. Crude SMM rates increased from 94.7 per 10,000 in 2008 to 192.6 in 2015 and 249.5 in 2017. Non-Hispanic Black (adjusted risk ratio [aRR] 1.52; 95% confidence interval [CI] 1.37-1.69), Asian/Pacific Islander (aRR 1.29, 95% CI 1.18-1.41), and Hispanic (aRR 1.18, 95% CI 1.10-1.27) women had greater likelihood of SMM than non-Hispanic White women. After further adjusting for preexisting health conditions, differences in SMM by race/ethnicity remained. CONCLUSIONS: SMM rates increased during 2008-2017 and women of racial and ethnic minority groups, particularly non-Hispanic Black women, were more likely to experience an SMM event than non-Hispanic White women. Multilevel approaches to understanding structural and social factors that may be associated with racial and ethnic disparities in SMM are needed to develop and test effective interventions to reduce SMM.

Comparison of Blood Pressure Measurements from Clinical Practice and a Research Study At Kaiser Permanente Southern California.

BACKGROUND: Accurate blood pressure (BP) measurement is essential to identify and manage hypertension. Prior studies have reported a difference between BP measured in routine patient care and in research studies. We aimed to investigate the agreement between BP measured in routine care and research-grade BP in Kaiser Permanente Southern California, a large, integrated healthcare system with initiatives to standardize BP measurements during routine patient care visits. METHODS: We included adults ≥65 years old with hypertension, taking antihypertensive medication, and participating in the Ambulatory Blood Pressure in Older Adults (AMBROSIA) study in 2019-2021. Clinic BP from routine care visits was extracted from the electronic health record. Research-grade BP was obtained by trained AMBROSIA study staff via an automatic oscillometric device. The mean difference between routine care and research-grade BP, limits of agreement, and correlation were assessed. RESULTS: We included 309 participants (mean age 75 years; 54% female; 49% non-Hispanic white). Compared with measurements from routine care, mean research-grade systolic BP (SBP) was 0.1 mm Hg higher (95% CI: -1.5 to 1.8) and diastolic BP (DBP) was 0.4 mm Hg lower (95% CI: -1.6 to 0.7). Limits of agreement were -29 to 30 mm Hg for SBP and -21 to 20 mm Hg for DBP. The intraclass correlation coefficient was 0.42 (95% CI: 0.33 to 0.51) for SBP and 0.43 (95% CI: 0.34 to 0.52) for DBP. CONCLUSIONS: High within-person variation and moderate correlation were present between BP measured in routine care and following a research protocol suggesting the importance of standardized measurements.

Tobacco Smoking and Risk of SARS-CoV-2 Infection and Disease Severity Among Adults in an Integrated Healthcare System in California.

INTRODUCTION: The relationship between tobacco smoking status and SARS-CoV-2 infection and coronavirus disease 2019 (COVID-19) severity is highly debated. We conducted a retrospective cohort study of >2.4 million adults in a large healthcare system to evaluate whether smoking is associated with SARS-CoV-2 infection and disease severity. AIMS AND METHODS: This retrospective cohort study of 2,427,293 adults in KPNC from March 5, 2020 (baseline) to December 31, 2020 (pre-vaccine) included smoking status (current, former, never), socio-demographics, and comorbidities from the electronic health record. SARS-CoV-2 infection (identified by a positive PCR test) and COVID-19 severity (hospitalization, ICU admission or death ≤ 30 days of COVID-19 diagnosis) were estimated in time-to-event analyses using Cox proportional hazard regression models adjusting for covariates. Secondary analyses examined COVID-19 severity among patients with COVID-19 using logistic regression. RESULTS: During the study, 44,270 patients had SARS-CoV-2 infection. Current smoking was associated with lower adjusted rates of SARS-CoV-2 infection (aHR = 0.64 95% CI: 0.61-0.67), COVID-19-related hospitalization (aHR = 0.48 95% CI: 0.40-0.58), ICU admission (aHR = 0.62 95% CI: 0.42-0.87), and death (aHR = 0.52 95% CI: 0.27-0.89) than never-smoking. Former smoking was associated with a lower adjusted rate of SARS-CoV-2 infection (aHR = 0.96 95% CI: 0.94-0.99) and higher adjusted rates of hospitalization (aHR = 1.10 95% CI: 1.03-1.08) and death (aHR = 1.32 95% CI: 1.11-1.56) than never-smoking. Logistic regression analyses among patients with COVID-19 found lower odds of hospitalization for current versus never-smoking and higher odds of hospitalization and death for former versus never-smoking. CONCLUSIONS: In the largest US study to date on smoking and COVID-19, current and former smoking showed lower risk of SARS-CoV-2 infection than never-smoking, while a history of smoking was associated with higher risk of severe COVID-19. IMPLICATIONS: In this cohort study of 2.4 million adults, adjusting for socio-demographics and medical comorbidities, current tobacco smoking was associated with a lower risk of both SARS-CoV-2 infection and severe COVID-19 illness compared to never-smoking. A history of smoking was associated with a slightly lower risk of SARS-CoV-2 infection and a modestly higher risk of severe COVID-19 illness compared to never-smoking. The lower observed COVID-19 risk for current versus never-smoking deserves further investigation. Results support prioritizing individuals with smoking-related comorbidities for vaccine outreach and treatments as they become available.

Neighborhood disadvantage and dementia incidence in a cohort of Asian American and non-Latino White older adults in Northern California.

INTRODUCTION: Some evidence suggests that neighborhood socioeconomic disadvantage is associated with dementia-related outcomes. However, prior research is predominantly among non-Latino Whites. METHODS: We evaluated the association between neighborhood disadvantage (Area Deprivation Index [ADI]) and dementia incidence in Asian American (n = 18,103) and non-Latino White (n = 149,385) members of a Northern California integrated health care delivery system aged 60 to 89 at baseline. Race/ethnicity-specific Cox proportional hazards models adjusted for individual-level age, sex, socioeconomic measures, and block group population density estimated hazard ratios (HRs) for dementia. RESULTS: Among non-Latino Whites, ADI was associated with dementia incidence (most vs. least disadvantaged ADI quintile HR = 1.09, 95% confidence interval [CI] = 1.02-1.15). Among Asian Americans, associations were close to null (e.g., most vs. least disadvantaged ADI quintile HR = 1.01, 95% CI = 0.85-1.21). DISCUSSION: ADI was associated with dementia incidence among non-Latino Whites but not Asian Americans. Understanding the potentially different mechanisms driving dementia incidence in these groups could inform dementia prevention efforts.

Disparities in melanoma-specific mortality by race/ethnicity, socioeconomic status, and health care systems.

BACKGROUND: Despite encouraging trends in survival, sociodemographic inequalities persist among patients with melanoma. OBJECTIVE: We sought to quantify the effect of race/ethnicity, socioeconomic status, and health care systems on melanoma-specific mortality within an insured population of patients. METHODS: Using a retrospective cohort study, we identified insured adults diagnosed with Stage I to IV melanoma from January 1, 2009, to December 31, 2014, followed through 2017, from the California Cancer Registry. We compared melanoma-specific mortality between insured patients diagnosed within the largest vertically integrated health care system in California, Kaiser Permanente Southern California, and insured patients with other private insurance (OPI). RESULTS: Our cohort included 14,614 adults diagnosed with melanoma. Multivariable analyses demonstrated that race/ethnicity was not associated with survival disparities, while socioeconomic status was a strong predictor of melanoma-specific mortality, particularly for those with OPI. For example, hazard ratios demonstrate that the poorest patients with OPI have a 70% increased risk of dying from their melanoma compared to their wealthiest counterparts, while the poorest patients in Kaiser Permanente Southern California have no increased risk. LIMITATIONS: Our main limitation includes inadequate data for certain racial/ethnic groups, such as Native Americans. CONCLUSIONS: Our findings underscore the persistence of socioeconomic disparities within an insured population, specifically among those in non-integrated health care systems.