Trends in Adolescent Depression Screening Outcomes Over the COVID-19 Pandemic at a Large, Integrated Health Care System in Southern California.

PURPOSE: Little is known about changes in depression screening outcomes among adolescents in primary healthcare across the COVID-19 pandemic. We describe trends in depression screening outcomes within a large integrated health care system in Southern California. METHODS: Retrospective electronic health record data from preventative healthcare visits of 11-12-year-olds and 13-17-year-olds screened for depression from March 1, 2017, to August 31, 2022, were extracted in 6-month blocks. The percentages of screens meeting "threshold depression" were reported overall, and by sex, race or ethnicity, and median household income quintiles. We used Poisson regression to estimate rate ratios of threshold depression in 3 winter blocks (September to February) comparing lockdown (2020), reopening (2021) to a pre-COVID (2019) period, and reopening relative to lockdown. Disparities in trends by sex, race, or ethnicity and household income were tested using interaction terms. RESULTS: Of 735,333 visits with complete screening (183,550 for 11-12-year-olds and 551,783 for 13-17-year-olds), 4.6%, 6.5%, and 7.4% of 11-12-year-olds had "threshold depression" during winter blocks of pre-COVID, lockdown and reopening, respectively. The corresponding rates were 5.8%, 8.5%, and 9.8% for 13-17-year-olds. The rates were higher during lockdown and reopening relative to pre-COVID and higher during reopening relative to lockdown for both age groups (all p-values <.001). Trends differed by sex in both age groups (p-values <.001) and by race or ethnicity (p = .001) in the 13-17-year age group. DISCUSSION: Californian adolescents demonstrated an increase in threshold depression since COVID lockdown starting March 2020 with further increase observed during reopening in September 2021. Future studies are needed to determine the long-term trends.

Depression and Anxiety Among US Children and Young Adults.

Importance: Data from surveys show increased mental health disorders in youths. However, little is known about clinical diagnosis over time. Objective: To assess the incidence, prevalence, and changes from 2017 to 2021 for depression and anxiety diagnosed clinically among children, adolescents, and young adults and to identify potential disparities. Design, Setting, and Participants: This cohort study included approximately 1.7 million individuals aged 5 to 22 years in Southern California. Data were extracted from electronic medical records; International Statistical Classification of Diseases, Tenth Revision (ICD-10), codes were used to identify depression and/or anxiety diagnosis for each study year from January 1, 2017, to December 31, 2021. Rates were stratified by age, gender, race and ethnicity, estimated household income, weight status, and comorbidity history. Changes over time and association with these variables were assessed using Poisson regression. Data were analyzed between June 1, 2022, and November 29, 2023. Main Outcomes and Measures: Clinical diagnosis of (1) depression and (2) anxiety without a depression diagnosis using ICD-10 codes. Results: Among the 1.7 million participants, mean (SD) age was approximately 14 (5) years, and 51% were male. In terms of race and ethnicity for each study year, approximately 50% of participants were Hispanic; 8%, non-Hispanic Asian; 8%, non-Hispanic Black; and 23%, non-Hispanic White. From 2017 to 2021, depression diagnosis increased by 55.6% (from 1.35% to 2.10%) for incidence and 60.0% (from 2.55% to 4.08%) for prevalence; anxiety without depression diagnosis increased by 31.1% (from 1.77% to 2.32%) for incidence and 35.2% (from 3.13% to 4.22%) for prevalence (P < .001 for trend). The increases in rates were higher during the COVID-19 pandemic (2020-2021) than before the pandemic (2017-2019), except for depression incidence. Rates increased across all subgroups. Rates were highest for subgroups aged 14 to 17 and 18 to 22 years; female participants; those of non-Hispanic American Indian or Alaska Native, non-Hispanic White, or multiple races or ethnicities; and subgroups with higher household income, obesity (and underweight for anxiety without depression), or comorbidities. Among these factors, age was the most important factor for depression diagnosis, whereas weight status was the most important factor for anxiety without depression diagnosis. Conclusions and Relevance: This cohort study, using electronic medical record data from a large integrated health care system, found an increase in clinically diagnosed depression from 2017 to 2021, with a higher increase during the COVID-19 pandemic and higher rates in some subgroups. Equally important, this study identified high rates and an increase in clinical diagnosis of anxiety without a depression diagnosis. These results support the increased need in public health and health care effort to combat the mental health crisis in youths.

A Texting- and Internet-Based Self-Reporting System for Enhanced Vaccine Safety Surveillance With Insights From a Large Integrated Health Care System in the United States: Prospective Cohort Study.

BACKGROUND: SMS text messaging- and internet-based self-reporting systems can supplement existing vaccine safety surveillance systems, but real-world participation patterns have not been assessed at scale. OBJECTIVE: This study aimed to describe the participation rates of a new SMS text messaging- and internet-based self-reporting system called the Kaiser Permanente Side Effect Monitor (KPSEM) within a large integrated health care system. METHODS: We conducted a prospective cohort study of Kaiser Permanente Southern California (KPSC) patients receiving a COVID-19 vaccination from April 23, 2021, to July 31, 2023. Patients received invitations through flyers, SMS text messages, emails, or patient health care portals. After consenting, patients received regular surveys to assess adverse events up to 5 weeks after each dose. Linkage with medical records provided demographic and clinical data. In this study, we describe KPSEM participation rates, defined as providing consent and completing at least 1 survey within 35 days of COVID-19 vaccination. RESULTS: Approximately, 8% (164,636/2,091,975) of all vaccinated patients provided consent and completed at least 1 survey within 35 days. The lowest participation rates were observed for parents of children aged 12-17 years (1349/152,928, 0.9% participation rate), and the highest participation was observed among older adults aged 61-70 years (39,844/329,487, 12.1%). Persons of non-Hispanic White race were more likely to participate compared with other races and ethnicities (13.1% vs 3.9%-7.5%, respectively; P<.001). In addition, patients residing in areas with a higher neighborhood deprivation index were less likely to participate (5.1%, 16,503/323,122 vs 10.8%, 38,084/352,939 in the highest vs lowest deprivation quintiles, respectively; P<.001). Invitations through the individual's Kaiser Permanente health care portal account and by SMS text message were associated with the highest participation rate (19.2%, 70,248/366,377 and 10.5%, 96,169/914,793, respectively), followed by email (19,464/396,912, 4.9%) and then QR codes on flyers (25,882/2,091,975, 1.2%). SMS text messaging-based surveys demonstrated the highest sustained daily response rates compared with internet-based surveys. CONCLUSIONS: This real-world prospective study demonstrated that a novel digital vaccine safety self-reporting system implemented through an integrated health care system can achieve high participation rates. Linkage with participants' electronic health records is another unique benefit of this surveillance system. We also identified lower participation among selected vulnerable populations, which may have implications when interpreting data collected from similar digital systems.

"We Need to Know These Things": Use Cases for Combined Social and Clinical Data Among Primary Care-Based Clinical and Social Care Providers.

INTRODUCTION/OBJECTIVES: Primary care organizations are increasingly collecting data on patients' social risks, bringing forth an unprecedented opportunity to present combined health and social data that clinical and social care providers could leverage to improve patient care and outcomes. Little is known, however, about how these data could be used and what combinations of specific data elements are most helpful. We explored how primary care staff who provide clinical or social care services view potential benefits of and use cases for combined patient-level clinical and social data. METHODS: We conducted qualitative interviews or focus groups with 39 social and clinical care providers representing 6 healthcare organizations in San Diego County, California. Interviews were transcribed and analyzed using a deductive thematic analysis approach. RESULTS: Overall, both clinical and social care providers noted the value of access to both types of data. Participants highlighted 3 benefits from integrating social and clinical data. The data could: (1) offer providers a more holistic view of patients' circumstances; (2) strengthen their ability to tailor care to patients' medical and social conditions concurrently; and (3) enhance coordination across care team members. Interviewees cited specific examples of ways social and clinical data could be paired to improve care. CONCLUSIONS: Social and clinical care providers alike envisioned multiple uses and benefits of accessing combined individual-level clinical and social data, highlighting the potential for practice and policy innovations to facilitate access and uptake of combined data. Future research should focus on ways to increase accessibility of cross-sector data and evaluate the impact of care informed by combined data on patient social and health outcomes.

Evaluation of Socioeconomic and Racial/Ethnic Disparities in All-Cause Mortality in Adolescents and Young Adults With Cancer.

BACKGROUND: Adolescent and young adult (AYA) patients with cancer have historically been understudied. Few studies have examined survival disparities associated with racial/ethnic and socioeconomic status (SES) and do not account for the influence of insurance status and access to care. We evaluated the association of SES and race/ethnicity with overall mortality for AYA patients who were members of an integrated health system with relatively equal access to care. METHODS: AYA patients diagnosed with the 15 most common cancer types during 2010 through 2018 at Kaiser Permanente Southern California were included. Neighborhood Deprivation Index (NDI) quartile (Q1: least deprived; Q4: most deprived) was used as a measure of SES. Mortality rate per 1,000 person-years was calculated for each racial/ethnic and NDI subgroup. Multivariable Cox model was used to estimate hazard ratios (HRs) for all-cause mortality adjusting for sex, age and stage at diagnosis, cancer type, race/ethnicity, and NDI. RESULTS: Data for 6,379 patients were tracked for a maximum of 10 years. Crude mortality rates were higher among non-White racial/ethnic patients compared with non-Hispanic (NH)-White patients. In the Cox model, Hispanic (HR, 1.31; P=.004) and NH-Black (HR, 1.34; P=.05) patients experienced significantly higher all-cause mortality risk compared with NH-White patients. Patients from more deprived neighborhoods had higher mortality risk. In the Cox model, there was no significant difference in all-cause mortality between Q1 and Q2 through Q4 (Q2: HR, 0.88; P=.26, Q3: HR, 0.94; P=.56, and Q4: HR, 0.95; P=.70). CONCLUSIONS: For AYAs with cancer with similar access to care, Hispanic and NH-Black patients have higher risk of all-cause mortality than NH-White patients, whereas no significant SES-associated survival disparities were observed. These findings warrant further investigation, awareness, and intervention to address inequities in cancer care among vulnerable populations.

Social Risks and Health Care Use in Medically Complex Patients.

Importance: Integrated health care systems have initiated major investments to identify and address social risks, particularly for patients with multiple medical conditions. Objective: To evaluate the association of social risks with health care use among patients with complex multimorbidity. Design, Setting, and Participants: This longitudinal cohort study assessed Kaiser Permanente Northern California (KPNC) patients with (1) moderate medical complexity (defined by high comorbidity score, high risk of hospitalization, and/or prior emergency department [ED] admissions) and (2) high medical complexity (eg, meeting additional criteria, such as ≥7 medications and laboratory evidence of poor disease control). Exposure: Social risks (eg, requiring medical financial assistance and self-reported social barriers to care). Main Outcomes and Measures: Inpatient and outpatient health care use during 12 months of follow-up (January 15, 2023, to January 14, 2024). Results: The sample included 97 252 KPNC patients (mean [SD] age, 69.5 [16] years; 52.1% female; 10.6% Asian, 11.1% Black, 18.3% Hispanic, 54.6% White, and 5.5% other race or ethnicity [eg, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, multiracial, or unknown race]; and 8.8% insured by Medicaid), including 27 827 with moderate medical complexity (5074 [18.2%] with social risks) and 69 425 with high medical complexity (17 343 [25.0%] with social risks). In fully adjusted models, for moderate medical complexity, social risks were associated with higher odds of inpatient admissions (odds ratio [OR], 1.2; 95% CI, 1.1-1.4), ED visits (OR, 1.2; 95% CI, 1.1-1.3), and mental health visits (OR, 1.2; 95% CI, 1.1-1.3) vs individuals without social risks. Among individuals with high medical complexity, social risks were associated with higher odds of inpatient admissions (OR, 1.2; 95% CI, 1.1-1.2), ED visits (OR, 1.2; 95% CI, 1.1-1.2), and 30-day readmissions (OR, 1.2; 95% CI, 1.1-1.3) and higher odds of mental health visits (OR, 1.3; 95% CI, 1.2-1.3) vs individuals without social risks. Conclusions and relevance: In this cohort study of individuals with medical complexity, coexisting social risks were associated with substantial downstream health care use. Efforts to reduce use in individuals with complex medical comorbidity could include concurrent efforts to identify and reduce social risks.

Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach.

BACKGROUND: Valvular heart disease (VHD) is a leading cause of cardiovascular morbidity and mortality that poses a substantial health care and economic burden on health care systems. Administrative diagnostic codes for ascertaining VHD diagnosis are incomplete. OBJECTIVE: This study aimed to develop a natural language processing (NLP) algorithm to identify patients with aortic, mitral, tricuspid, and pulmonic valve stenosis and regurgitation from transthoracic echocardiography (TTE) reports within a large integrated health care system. METHODS: We used reports from echocardiograms performed in the Kaiser Permanente Southern California (KPSC) health care system between January 1, 2011, and December 31, 2022. Related terms/phrases of aortic, mitral, tricuspid, and pulmonic stenosis and regurgitation and their severities were compiled from the literature and enriched with input from clinicians. An NLP algorithm was iteratively developed and fine-trained via multiple rounds of chart review, followed by adjudication. The developed algorithm was applied to 200 annotated echocardiography reports to assess its performance and then the study echocardiography reports. RESULTS: A total of 1,225,270 TTE reports were extracted from KPSC electronic health records during the study period. In these reports, valve lesions identified included 111,300 (9.08%) aortic stenosis, 20,246 (1.65%) mitral stenosis, 397 (0.03%) tricuspid stenosis, 2585 (0.21%) pulmonic stenosis, 345,115 (28.17%) aortic regurgitation, 802,103 (65.46%) mitral regurgitation, 903,965 (73.78%) tricuspid regurgitation, and 286,903 (23.42%) pulmonic regurgitation. Among the valves, 50,507 (4.12%), 22,656 (1.85%), 1685 (0.14%), and 1767 (0.14%) were identified as prosthetic aortic valves, mitral valves, tricuspid valves, and pulmonic valves, respectively. Mild and moderate were the most common severity levels of heart valve stenosis, while trace and mild were the most common severity levels of regurgitation. Males had a higher frequency of aortic stenosis and all 4 valvular regurgitations, while females had more mitral, tricuspid, and pulmonic stenosis. Non-Hispanic Whites had the highest frequency of all 4 valvular stenosis and regurgitations. The distribution of valvular stenosis and regurgitation severity was similar across race/ethnicity groups. Frequencies of aortic stenosis, mitral stenosis, and regurgitation of all 4 heart valves increased with age. In TTE reports with stenosis detected, younger patients were more likely to have mild aortic stenosis, while older patients were more likely to have severe aortic stenosis. However, mitral stenosis was opposite (milder in older patients and more severe in younger patients). In TTE reports with regurgitation detected, younger patients had a higher frequency of severe/very severe aortic regurgitation. In comparison, older patients had higher frequencies of mild aortic regurgitation and severe mitral/tricuspid regurgitation. Validation of the NLP algorithm against the 200 annotated TTE reports showed excellent precision, recall, and F1-scores. CONCLUSIONS: The proposed computerized algorithm could effectively identify heart valve stenosis and regurgitation, as well as the severity of valvular involvement, with significant implications for pharmacoepidemiological studies and outcomes research.

The Percentage of Patients Experiencing Financial Strain Depends on the Screening Measure: Evidence From a Cross-Sectional Survey of Adult Members of an Integrated Healthcare Delivery System.

OBJECTIVES: Financial strain has important consequences for patients, providers, and health care systems. However, there is currently no gold standard measure to screen for financial strain. This study compared the performance of 3 single-item screeners using a composite measure of financial strain as a "gold standard." METHODS: We conducted a secondary analysis of unweighted data from a 2021 survey of Kaiser Permanente Northern California health plan members comparing the percentages of adults who experienced financial strain based on 3 general single-item screeners, a screener specific to medical and dental health care use, and a composite financial strain measure. The study sample was comprised of 2734 non-Medicaid insured adults who answered all financial strain questions. Kappa statistics evaluating agreement of the 3 general screeners with the composite measure were calculated for the sample overall, by age group, and within age group, by 4 levels of income and 4 racial/ethnic subgroups. RESULTS: Among 947 adults aged 35 to 65, 30.7% had just enough money or not enough money to make ends meet, 23.3% had a somewhat hard or hard time paying for basics, 18.8% had trouble paying for ≥1 type of expense, 20.5% had delayed/used less medical/dental care, and 41.5% had experienced financial strain based on the composite measure. Among 1787 adults aged 66 to 85, the percentages who screened positive on these measures were 22.7%, 19.4%, 12.9%, 19.8%, and 34.4%, respectively. Across the sample, by income categories and racial/ethnic groups, the making ends meet screener identified higher percentages of adults experiencing financial strain and performed better when compared with the composite measure than the hard to pay for the very basics and trouble paying for expenses screeners. Overall, substantial decreases in the percentages of adults who screened positive on the financial strain measures were seen as level of income increased. Within income categories, middle-aged adults were more likely than older adults to have experienced financial strain based on the composite and general single-item screeners. CONCLUSIONS: As social risk screening becomes part of the standard of care, it will be important to assess how well different brief screeners for financial strain perform with diverse patient populations.

Impact of COVID-19 on myalgic encephalomyelitis/chronic fatigue syndrome-like illness prevalence: A cross-sectional survey.

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) can be triggered by infectious agents including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the impact of the coronavirus disease 2019 (COVID-19) pandemic on ME/CFS prevalence is not well characterized. METHODS: In this population-based cross-sectional study, we enrolled a stratified random sample of 9,825 adult participants in the Kaiser Permanente Northern California (KPNC) integrated health system from July to October 2022 to assess overall ME/CFS-like illness prevalence and the proportion that were identified following COVID-19 illness. We used medical record and survey data to estimate the prevalence of ME/CFS-like illness based on self-reported symptoms congruent with the 2015 Institute of Medicine ME/CFS criteria. History of COVID-19 was based on a positive SARS-CoV-2 nucleic acid amplification test or ICD-10 diagnosis code in the medical record, or self-report of prior COVID-19 on a survey. RESULTS: Of 2,745,374 adults in the eligible population, an estimated 45,892 (95% confidence interval [CI]: 32,869, 58,914) or 1.67% (CI 1.20%, 2.15%) had ME/CFS-like illness. Among those with ME/CFS-like illness, an estimated 14.12% (CI 3.64%, 24.6%) developed the illness after COVID-19. Among persons who had COVID-19, those with ME/CFS-like illness after COVID-19 were more likely to be unvaccinated and to have had COVID-19 before June 1, 2021. All persons with ME/CFS-like illness had significant impairment in physical, mental, emotional, social, and occupational functioning compared to persons without ME/CFS-like illness. CONCLUSIONS: In a large, integrated health system, 1.67% of adults had ME/CFS-like illness and 14.12% of all persons with ME/CFS-like illness developed it after COVID-19. Though COVID-19 did not substantially increase ME/CFS-like illness in the KPNC population during the study time period, ME/CFS-like illness nevertheless affects a notable portion of this population and is consistent with estimates of ME/CFS prevalence in other populations. Additional attention is needed to improve awareness, diagnosis, and treatment of ME/CFS.

Stakeholder-informed pragmatic trial protocol of the TabCAT-BHA for the detection of cognitive impairment in primary care.

BACKGROUND: Cognitive impairment and dementia are frequently under-recognized. Health system strategies anchored in primary care are essential to address gaps in timely, comprehensive diagnosis. The goal of this paper is to describe the adaptation of a tablet-based brain health assessment (TabCAT-BHA) intervention and the study protocol to test its effectiveness in improving the detection of cognitive impairment, including dementia. METHODS: This mixed-methods, pragmatic, cluster randomized, hybrid effectiveness-implementation trial is being conducted in two 18-month waves with 26 Kaiser Permanente Southern California primary care clinics, with 13 serving as intervention clinics and 13 as usual care clinics. Patients 65 years and older with memory concerns (n ~ 180,000) receiving care at the 26 clinics will be included in the analyses. Primary care clinics are provided the following practice supports as part of the TabCAT-BHA intervention: brief education and training on neurocognitive disorders and study workflows; digital tools to assess cognitive function and support clinician decision making and documentation; and registered nurse support during the work-up and post-diagnosis periods for primary care providers, patients, and families. The intervention was adapted based on engagement with multiple levels of clinical and operational leaders in the healthcare system. Effectiveness outcomes include rates of cognitive impairment diagnosis in primary care and rates of completed standardized cognitive assessments and specialist referrals with incident diagnoses. Implementation outcomes include acceptability-appropriateness-feasibility, adoption, and fidelity. RESULTS: We identified seven themes organized by system-, provider-, and patient-level domains that were used to adapt the TabCAT-BHA intervention. Accordingly, changes were made to the provider education, diagnostic work-up, and post-diagnostic support. Results will be reported in fall of 2027. CONCLUSIONS: Our engagement with multiple primary and specialty care clinical and operational leaders to adapt the TabCAT-BHA intervention to these primary care clinics has informed the protocol to evaluate the intervention's effectiveness for improving the detection of cognitive impairment, including dementia, in an integrated healthcare system. TRIAL REGISTATION: Clinicaltrials.gov: NCT06090578 (registered 10/24/23).

Trends in Gonorrhea and Chlamydia Testing and Infections Across the COVID-19 Pandemic in Adolescents and Young Adults in an Integrated Health System.

PURPOSE: The COVID-19 pandemic impacted testing and incidence of sexually transmitted infections (STIs), with some studies showing uneven effects across sociodemographic groups. We aim to determine whether rates of gonorrhea and chlamydia testing and infections were affected by the pandemic, overall and by subgroups, defined by sociodemographic factors and comorbidities. METHODS: We conducted a retrospective cohort study from January 1, 2016, through December 31, 2022, among adolescents and young adults ages 15-29 years within Kaiser Permanente Northern California (KPNC). We determined the rate of testing for gonorrhea/chlamydia, and the incident rates of infections before and during the COVID-19 pandemic by sociodemographic factors. We compared incidence rates of gonorrhea/chlamydia testing and infection before and during the pandemic using Poisson regression. RESULTS: Gonorrhea/chlamydia testing during the pandemic was 19% lower than prepandemic baseline. Testing among Black patients was 1.8-fold higher than White patients. Black patients had 5.5 and 3.6-fold higher rate of gonorrhea and chlamydia infections, respectively, compared with White patients. Patients living in more deprived neighborhoods also had higher rates of infection compared to those in the least deprived neighborhoods. In multivariable analyses stratified by the period before and during the COVID-19 pandemic, there were no significant differences in the incidence rate ratios of testing or infections for any specific sociodemographic factor. DISCUSSION: STI testing in adolescents and young adults dropped dramatically after the start of the pandemic and has not recovered to its prior levels. Preexisting disparities in STI testing and infections were not exacerbated by the pandemic.

The landscape of use of NCCN-guideline chemotherapy regimens in stage I-IIIA breast cancer in an integrated healthcare delivery system.

PURPOSE: The National Comprehensive Cancer Network (NCCN) guidelines recommend a variety of drug combinations with specific administration schedules for the treatment of early-stage breast cancer, allowing physicians to deliver treatments recognizing individual patient complexities, including comorbidities, and patient-physician preference. While use of guideline regimens has shifted over time, there is little data to describe changes in how treatment for early-stage breast cancer has evolved over time. METHODS: In a cohort of 34,109 women treated for stage I-IIIA breast cancer between 2006-2019 at Kaiser Permanente Northern California and Kaiser Permanente Washington, we present the changes in chemotherapy regimens over time, and explore use of NCCN-guideline regimens (GR), guideline regimens used when said regimens were not included in guidelines, referred to as time-discordant regimens (TDR), and non-guideline regimens (NGR). Results are presented by drug combination and over time. RESULTS: Among 12,506 women receiving chemotherapy, 77.4% (n = 9681) received GRs, 9.1% (n = 1140) received TDRs, and 13.5% (n = 1685) received NGRs. In 2006, AC-T (cyclophosphamide-doxorubicin, paclitaxel) was the most common regimen, with TC (cyclophosphamide-docetaxel) becoming the most prevalent by 2019. NGRs were more common in cyclophosphamide-methotrexate-5-fluorouracil (CMF); cyclophosphamide-doxorubicin-paclitaxel-trastuzumab (ACTH); and paclitaxel-trastuzumab (TH). The use of GR has increased over time (p-trend < 0.001), while use of NGR (both in terms of administration schedule and drug combination) and TDR have decreased, although patterns vary by drug combination. CONCLUSION: Chemotherapy delivery has changed markedly over time, with a move toward more use of GR. These data are important for understanding the landscape of chemotherapy delivery in community healthcare settings.

Changes in Prenatal Cannabis Use Among Pregnant Individuals From 2012 to 2022.

This population-based cross-sectional study analyzed electronic health record data of pregnant individuals in an integrated health care delivery system in California to examine changes in prenatal cannabis use through self-report and urine toxicology testing during standard prenatal care between 2012 (n=33,546) and 2022 (n=43,415), and to test whether trends differed by race and ethnicity or age. The prevalence of prenatal cannabis use increased from 5.5% (95% CI, 5.3-5.8%) in 2012 to 9.0% (95% CI, 8.7-9.2%) in 2022 (adjusted prevalence ratio [aPR] 1.82, 95% CI, 1.72-1.92), with similar increases by toxicology test (aPR 1.70, 95% CI, 1.60-1.81) and self-report (aPR 2.12, 95% CI, 1.95-2.30). The increase in prevalence varied significantly across racial and ethnic and age groups, with the highest prevalence among Black individuals and those aged 13-24 across years. Although rates increased more slowly among groups with the highest prevalence of use, disparities persisted over time.

Accelerated competency-based education in primary care (ACE-PC): a 3-year UC Davis and Kaiser permanente partnership to meet California's primary care physician workforce needs.

PROBLEM: Our nation faces an urgent need for more primary care (PC) physicians, yet interest in PC careers is dwindling. Students from underrepresented in medicine (UIM) backgrounds are more likely to choose PC and practice in underserved areas yet their representation has declined. Accelerated PC programs have the potential to address workforce needs, lower educational debt, and diversify the physician workforce to advance health equity. APPROACH: With support from Kaiser Permanente Northern California (KPNC) and the American Medical Association's Accelerating Change in Medical Education initiative, University of California School of Medicine (UC Davis) implemented the Accelerated Competency-based Education in Primary Care (ACE-PC) program - a six-year pathway from medical school to residency for students committed to health equity and careers in family medicine or PC-internal medicine. ACE-PC accepts 6-10 students per year using the same holistic admissions process as the 4-year MD program with an additional panel interview that includes affiliated residency program faculty from UC Davis and KPNC. The undergraduate curriculum features: PC continuity clinic with a single preceptor throughout medical school; a 9-month longitudinal integrated clerkship; supportive PC faculty and culture; markedly reduced student debt with full-tuition scholarships; weekly PC didactics; and clinical rotations in affiliated residency programs with the opportunity to match into specific ACE-PC residency tracks. OUTCOMES: Since 2014, 70 students have matriculated to ACE-PC, 71% from UIM groups, 64% are first-generation college students. Of the graduates, 48% have entered residency in family medicine and 52% in PC-internal medicine. In 2020, the first graduates entered the PC workforce; all are practicing in California, including 66% at federally qualified health centers, key providers of underserved care.

Cancer stage and consideration of cannabis use among adult cancer survivors in Southern California.

BACKGROUND: The benefits of cannabis in symptom management among cancer survivors are widely acknowledged; however, patterns of cannabis use by cancer stage at diagnosis are unknown. METHODS: Here, we examined the association between cancer stage at diagnosis and consideration of cannabis use since diagnosis. We analyzed cross-sectional survey data from 954 cancer survivors, weighted to be representative of a National Cancer Institute-Designated Comprehensive Cancer Center's patient population. We used survey-weighted multivariable logistic regression to examine the association between cancer stage at diagnosis (advanced [III/IV] versus non-advanced [I/II]) and consideration of cannabis use (yes versus no) since diagnosis. RESULTS: Sixty percent of the population was diagnosed with non-advanced stages of cancer, and 42% had considered using cannabis since diagnosis. The odds of consideration of cannabis use were 63% higher (odds ratio = 1.63, 95% confidence interval = 1.06 to 2.49) among cancer survivors diagnosed at stages III/IV than among those diagnosed at stages I/II. CONCLUSION: Cancer stage may be a predictor of consideration of cannabis use after diagnosis.

Heterogeneity in the effect of type 2 diabetes on dementia incidence in a diverse cohort of Asian American and non-Latino White older adults.

Dementia incidence is lower among Asian Americans than among Whites, despite higher prevalence of type 2 diabetes, a well-known dementia risk factor. Determinants of dementia, including type 2 diabetes, have rarely been studied in Asian Americans. We followed 4846 Chinese, 4129 Filipino, 2784 Japanese, 820 South Asian, and 123 360 non-Latino White members of a California-based integrated health-care delivery system from 2002 to 2020. We estimated dementia incidence rates by race/ethnicity and type 2 diabetes status, and we fitted Cox proportional hazards and Aalen additive hazards models for the effect of type 2 diabetes (assessed 5 years before baseline) on age of dementia diagnosis, controlling for sex/gender, educational attainment, nativity, height, race/ethnicity, and a race/ethnicity × diabetes interaction. Type 2 diabetes was associated with higher dementia incidence in Whites (hazard ratio [HR] = 1.46; 95% CI, 1.40-1.52). Compared with Whites, the estimated effect of diabetes was larger in South Asians (HR = 2.26; 95% CI, 1.48-3.44), slightly smaller in Chinese (HR = 1.32; 95% CI, 1.08-1.62) and Filipino (HR = 1.31; 95% CI, 1.08-1.60) individuals, and similar in Japanese individuals (HR = 1.44; 95% CI, 1.15-1.81). Heterogeneity in this association across Asian subgroups may be related to type 2 diabetes severity. Understanding this heterogeneity may inform prevention strategies to prevent dementia for all racial and ethnic groups.

Representativeness of Patients With Lung Cancer in an Integrated Health Care Delivery System.

INTRODUCTION: Observational research is important for understanding the real-world benefits of advancements in lung cancer care. Integrated health care systems, such as Kaiser Permanente Northern California, have extensive electronic health records suitable for such research, but the generalizability of their populations is often questioned. METHODS: Leveraging data from the California Cancer Registry, the authors compared distributions of demographic and clinical characteristics, in addition to neighborhood and environmental conditions, between patients diagnosed with lung cancer from 2015 through 2019 at Kaiser Permanente Northern California, National Cancer Institute-designated cancer centers (NCICCs), and all other non-NCICC hospitals within the same catchment area. RESULTS: Of 20,178 included patients, 30% were from Kaiser Permanente Northern California, 8% from NCICCs, and 62% from other non-NCICC hospitals. Compared to NCICC patients, Kaiser Permanente Northern California patients were more similar to other non-NCICC patients on most characteristics. Compared to other non-NCICC patients, Kaiser Permanente Northern California patients were slightly older, more likely to be female, and less likely to be Hispanic or Asian/Pacific Islander and to reside in lower socioeconomic status (SES) neighborhoods. In contrast, NCICC patients were younger, less likely to be female or from non-Asian/Pacific Islander minoritized racial groups, and more likely to present with early-stage disease and adenocarcinoma and to reside in neighborhoods with higher SES and lower air pollution than Kaiser Permanente Northern California or other non-NCICC patients. DISCUSSION: Patients from Kaiser Permanente Northern California, compared to NCICCs, are more broadly representative of the underlying patient population with lung cancer. CONCLUSION: Research using electronic health record data from integrated health care systems can contribute generalizable real-world evidence to benchmark and improve lung cancer care.

Hepatocellular Carcinoma in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Importance: In the US, hepatocellular carcinoma (HCC) has been the most rapidly increasing cancer since 1980, and metabolic dysfunction-associated steatotic liver disease (MASLD) is expected to soon become the leading cause of HCC. Objective: To develop a prediction model for HCC incidence in a cohort of patients with MASLD. Design, Setting, and Participants: This prognostic study was conducted among patients aged at least 18 years with MASLD, identified using diagnosis of MASLD using International Classification of Diseases, Ninth Revision (ICD-9) or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes; natural language processing of radiology imaging report text, which identified patients who had imaging evidence of MASLD but had not been formally diagnosed; or the Dallas Steatosis Index, a risk equation that identifies individuals likely to have MASLD with good precision. Patients were enrolled from Kaiser Permanente Northern California, an integrated health delivery system with more than 4.6 million members, with study entry between January 2009 and December 2018, and follow-up until HCC development, death, or study termination on September 30, 2021. Statistical analysis was performed during February 2023 and January 2024. Exposure: Data were extracted from the electronic health record and included 18 routinely measured factors associated with MASLD. Main Outcome and Measures: The cohort was split (70:30) into derivation and internal validation sets; extreme gradient boosting was used to model HCC incidence. HCC risk was divided into 3 categories, with the cumulative estimated probability of HCC 0.05% or less classified as low risk; 0.05% to 0.09%, medium risk; and 0.1% or greater, high risk. Results: A total of 1 811 461 patients (median age [IQR] at baseline, 52 [41-63] years; 982 300 [54.2%] female) participated in the study. During a median (range) follow-up of 9.3 (5.8-12.4) years, 946 patients developed HCC, for an incidence rate of 0.065 per 1000 person-years. The model achieved an area under the curve of 0.899 (95% CI, 0.882-0.916) in the validation set. At the medium-risk threshold, the model had a sensitivity of 87.5%, specificity of 81.4%, and a number needed to screen of 406. At the high-risk threshold, the model had a sensitivity of 78.4%, a specificity of 90.1%, and a number needed to screen of 241. Conclusions and Relevance: This prognostic study of more than 1.8 million patients with MASLD used electronic health record data to develop a prediction model to discriminate between individuals with and without incident HCC with good precision. This model could serve as a starting point to identify patients with MASLD who may need intervention and/or HCC surveillance.

Clinician care priorities and practices in the fourth trimester: perspective from a California survey.

BACKGROUND: Professional societies such as the American College of Obstetricians and Gynecologists (ACOG) promote the idea that postpartum care is an ongoing process where there is adequate opportunity to provide services and support. Nonetheless, in practice, the guidelines ask clinicians to perform more clinical responsibilities than they might be able to do with limited time and resources. METHODS: We conducted an online survey among practicing obstetric clinicians (obstetrician/gynecologists (OB/GYNs), midwives, and family medicine doctors) in California about their priorities and care practices for the first postpartum visit and explored how they prioritize multiple clinical responsibilities within existing time and resources. Between September 2023 and February 2024, 174 out of 229 eligible participants completed the survey, a 76% response rate. From a list of care components, we used descriptive statistics to identify those that were highly prioritized by most clinicians and those that were considered a priority by very few and examined the alignment between prioritized components and recommended care practices. RESULTS: Clinicians were highly invested in the care components that they rated as most important, indicating that they always check these components or assess them when they perceive patient need. Depression and anxiety, breast health/breast feeding issues, vaginal birth complications and family planning counseling were highly ranked components by all clinicians. In contrast, clinicians more often did not assess those care components that infrequently ranked highly among the priority listing, consisting mainly of social drivers of health such as screening and counseling for intimate partner violence, working conditions and food/housing insecurity. In both instances, we found little discordance between priorities and care practices. However, OB/GYNs and midwives differed in some care components that they prioritized highly. CONCLUSIONS: While there is growing understanding of how important professional society recommendations are for maternal-infant health, clinicians face barriers completing all recommendations, especially those components related to social drivers of health. However, what the clinicians do prioritize highly, they are likely to perform. Now that Medi-Cal (Medicaid) insurance is available in California for up to 12 months postpartum, there is a need to understand what care clinicians provide and what gaps remain.

Gender and Age Differences in the Evaluation and Clinical Outcomes of Patients with Palpitations.

BACKGROUND: Palpitations represent a common clinic complaint. OBJECTIVE: To explore gender and age differences in the evaluation and outcomes of patients with palpitations in outpatient settings. DESIGN/PARTICIPANTS: This is a retrospective observational study of 58,543 patients with no known structural cardiac disease or arrythmias presenting to primary care and cardiology clinics in an integrated health system in California with palpitations between January 2017 and December 2021. The primary and secondary endpoints were hospitalization for arrhythmia and all-cause mortality at 1 year. Multivariable logistic regression models evaluated the association between gender, age, and outcomes. RESULTS: Men and women were equally as likely to be started on beta-blockers (adjusted OR 0.96, 95% CI 0.90-1.02) and evaluated with electrocardiograms (adjusted OR 0.95, 95% CI 0.90-1.01) and cardiac monitors (adjusted OR 1.04, 95% CI 0.99-1.08). Patients who completed Holter or event monitors had a lower rate of hospitalization for cardiovascular disease at 1 year than those without (2.3% vs. 2.7%, p = 0.001). At 1 year, women had a lower risk of all-cause mortality (adjusted OR 0.47, 95% CI 0.35-0.64) and hospitalization for atrial fibrillation (adjusted OR 0.47, 95% CI 0.30-0.72) and arrhythmias (adjusted OR 0.73, 95% CI 0.58-0.91) compared to men. Among older women and men (≥ 80 years), there was no significant difference in 1-year all-cause mortality (adjusted OR 0.57, 95% CI 0.29-1.12), hospitalization for atrial fibrillation (adjusted OR 0.58, 95% CI 0.17-1.97), or arrhythmias (adjusted OR 1.15, 95% CI 0.12-11.07). CONCLUSIONS: There were no gender differences in referrals for cardiac monitoring or prescriptions for beta-blockers. Women had a better prognosis with a lower risk of hospitalization for arrhythmias and death at 1 year compared to men. However, 1-year risks for mortality and hospitalization for arrythmias among older women were comparable to those of older men, underscoring the importance of considering age and gender in managing patients with palpitations.