Decoding Suicide Decedent Profiles and Signs of Suicidal Intent Using Latent Class Analysis.

Importance: Suicide rates in the US increased by 35.6% from 2001 to 2021. Given that most individuals die on their first attempt, earlier detection and intervention are crucial. Understanding modifiable risk factors is key to effective prevention strategies. Objective: To identify distinct suicide profiles or classes, associated signs of suicidal intent, and patterns of modifiable risks for targeted prevention efforts. Design, Setting, and Participants: This cross-sectional study used data from the 2003-2020 National Violent Death Reporting System Restricted Access Database for 306 800 suicide decedents. Statistical analysis was performed from July 2022 to June 2023. Exposures: Suicide decedent profiles were determined using latent class analyses of available data on suicide circumstances, toxicology, and methods. Main Outcomes and Measures: Disclosure of recent intent, suicide note presence, and known psychotropic usage. Results: Among 306 800 suicide decedents (mean [SD] age, 46.3 [18.4] years; 239 627 males [78.1%] and 67 108 females [21.9%]), 5 profiles or classes were identified. The largest class, class 4 (97 175 [31.7%]), predominantly faced physical health challenges, followed by polysubstance problems in class 5 (58 803 [19.2%]), and crisis, alcohol-related, and intimate partner problems in class 3 (55 367 [18.0%]), mental health problems (class 2, 53 928 [17.6%]), and comorbid mental health and substance use disorders (class 1, 41 527 [13.5%]). Class 4 had the lowest rates of disclosing suicidal intent (13 952 [14.4%]) and leaving a suicide note (24 351 [25.1%]). Adjusting for covariates, compared with class 1, class 4 had the highest odds of not disclosing suicide intent (odds ratio [OR], 2.58; 95% CI, 2.51-2.66) and not leaving a suicide note (OR, 1.45; 95% CI, 1.41-1.49). Class 4 also had the lowest rates of all known psychiatric illnesses and psychotropic medications among all suicide profiles. Class 4 had more older adults (23 794 were aged 55-70 years [24.5%]; 20 100 aged ≥71 years [20.7%]), veterans (22 220 [22.9%]), widows (8633 [8.9%]), individuals with less than high school education (15 690 [16.1%]), and rural residents (23 966 [24.7%]). Conclusions and Relevance: This study identified 5 distinct suicide profiles, highlighting a need for tailored prevention strategies. Improving the detection and treatment of coexisting mental health conditions, substance and alcohol use disorders, and physical illnesses is paramount. The implementation of means restriction strategies plays a vital role in reducing suicide risks across most of the profiles, reinforcing the need for a multifaceted approach to suicide prevention.

Linguistic Disparities in Diabetes Care Quality in California Community Health Centers Before and During the COVID-19 Pandemic.

BACKGROUND: Disparities in diabetes care quality may have increased for patients with limited English language proficiency (LEP) compared to non-LEP patients during the COVID-19 pandemic. Changes in diabetes care quality for adult LEP and non-LEP patients of community health centers (CHCs) were examined from 2019 to 2020. METHODS: Adults with Type 2 diabetes (n = 15 965) of 88 CHC sites in California and with 1+ visit/year in 2019 and 2020 from OCHIN electronic health record data were included. Multivariable regression models estimated the association of LEP status and changes in diabetes care quality from 2019 to 2020, controlling for patient sociodemographic and clinical characteristics. Interaction terms (LEP × 2020) were used to estimate differential over time changes in (1) blood pressure screening, (2) blood pressure control (<140/90 mm Hg), and (3) hemoglobin A1c control (HbA1c <8%) for LEP versus non-LEP patients. RESULTS: LEP and non-LEP patients with diabetes had comparable blood pressure screening and control in 2019 and in 2020. LEP patients were less likely than non-LEP patients to have their HbA1c under control in 2019 (OR = 0.85, 95% CI = 0.77, 0.96, P = .006) and 2020 (OR = 0.83, 95% CI = 0.75, 0.92, P = .001). There were no differential changes in HbA1c control over time for LEP and non-LEP patients. DISCUSSION: Although LEP patients were less likely than non-LEP patients to have their HbA1c under control, CHCs maintained quality of care equally for LEP and non-LEP patients with diabetes during the early pandemic period.

White matter and literacy: A dynamic system in flux.

Cross-sectional studies have linked differences in white matter tissue properties to reading skills. However, past studies have reported a range of, sometimes conflicting, results. Some studies suggest that white matter properties act as individual-level traits predictive of reading skill, whereas others suggest that reading skill and white matter develop as a function of an individual's educational experience. In the present study, we tested two hypotheses: a) that diffusion properties of the white matter reflect stable brain characteristics that relate to stable individual differences in reading ability or b) that white matter is a dynamic system, linked with learning over time. To answer these questions, we examined the relationship between white matter and reading in a five-year longitudinal dataset and a series of large-scale, single-observation, cross-sectional datasets (N = 14,249 total participants). We find that gains in reading skill correspond to longitudinal changes in the white matter. However, in the cross-sectional datasets, we find no evidence for the hypothesis that individual differences in white matter predict reading skill. These findings highlight the link between dynamic processes in the white matter and learning.

Conjoint Analysis of Telemedicine Preferences for Hypertension Management Among Adult Patients.

Background: Telemedicine has been differentially utilized by different demographic groups during COVID-19, exacerbating inequities in health care. We conducted conjoint and latent class analyses to understand factors that shape patient preferences for hypertension management telemedicine appointments. Methods: We surveyed 320 adults, oversampling participants from households that earned <$50K per year (77.2%) and speak a language other than English at home (68.8%). We asked them to choose among 2 hypothetical appointments through 12 conjoint tasks measuring 6 attributes. Individual utilities for attributes were constructed using logit estimation, and latent classes were identified and compared by demographic and clinical characteristics. Results: Respondents preferred in-person visits (0.353, standard error [SE] = 0.039) and video appointments conducted through a secure patient portal (0.002, SE = 0.040). Respondents also preferred seeing a clinician with whom they have an established relationship (0.168, SE = 0.021). We found four latent classes: "in-person" (26.5% of participants) who strongly weighted in-person appointments, "cost conscious" (8.1%) who prioritized the lowest copay ($0 to $10), "expedited" (19.7%) who prioritized getting the earliest appointment possible (same/next day or at least within the next week), and "comprehensive" (45.6%) who had preferences for in-person care and telemedicine appointments through a secure portal, low copayments, and the ability to see a familiar clinician. Conclusions: Appointment preferences for hypertension management can be segmented into four groups that prioritize (1) in-person care, (2) low copayments, (3) expedited care, and (4) balanced preferences for in-person and telemedicine appointments. Evidence is needed to clarify whether aligning appointment offerings with patients' preferences can improve care quality, equity, and efficiency.

Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health.

Importance: Social determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health. Objective: To identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes. Design, Setting, and Participants: This population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states. Exposures: Eighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns. Main Outcomes and Measures: Associations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models. Results: Among 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (ß = 0.75; 95% CI, 0.14-1.37) and externalizing (ß = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health. Conclusions: This study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.

Collaborative Learning Among Health Care Organizations to Improve Quality and Advance Racial Equity.

Background: The study examined stakeholder experiences of a statewide learning collaborative, sponsored and led by Blue Cross Blue Shield of Massachusetts (BCBSMA) and facilitated by the Institute for Healthcare Improvement (IHI) to reduce racial and ethnic disparities in quality of care. Methods: Interviews of key stakeholders (n=44) were analyzed to assess experiences of collaborative learning and interventions to reduce racial and ethnic disparities in quality of care. The interviews included BCBSMA, IHI, provider groups, and external experts. Results: Breast cancer screening, colorectal cancer screening, hypertension management, and diabetes management were focal areas for reducing disparities. Collaborative learning methods involved expert coaching, group meetings, and sharing of best practices. Interventions tested included pharmacist-led medication management, strategies to improve the collection of race, ethnicity, and language (REaL) data, transportation access improvement, and community health worker approaches. Stakeholder experiences highlighted three themes: (1) the learning collaborative enabled the testing of interventions by provider groups, (2) infrastructure and pilot funding were foundational investments, but groups needed more resources than they initially anticipated, and (3) expertise in quality improvement and health equity were critical for the testing of interventions and groups anticipated needing this expertise into the future. Conclusions: BCBSMA's learning collaborative and intervention funding supported contracted providers in enhancing REaL data collection, implementing equity-focused interventions on a small scale, and evaluating their feasibility and impact. The collaborative facilitated learning among groups on innovative approaches for reducing racial disparities in quality. Concerns about sustainability underscore the importance of expertise for implementing initiatives to reduce racial and ethnic disparities.

Leveraging the Adolescent Brain Cognitive Development Study to improve behavioral prediction from neuroimaging in smaller replication samples.

Magnetic resonance imaging (MRI) is a popular and useful non-invasive method to map patterns of brain structure and function to complex human traits. Recently published observations in multiple large scale studies cast doubt upon these prospects, particularly for prediction of cognitive traits from structural and resting state functional MRI, which seems to account for little behavioral variability. We leverage baseline data from thousands of children in the Adolescent Brain Cognitive DevelopmentSM (ABCD®) Study to inform the replication sample size required with both univariate and multivariate methods across different imaging modalities to detect reproducible brain-behavior associations. We demonstrate that by applying multivariate methods to high-dimensional brain imaging data, we can capture lower dimensional patterns of structural and functional brain architecture that correlate robustly with cognitive phenotypes and are reproducible with only 41 individuals in the replication sample for working memory-related functional MRI, and ~100 subjects for structural MRI. Even with 100 random re-samplings of 50 subjects in the discovery sample, prediction can be adequately powered with 98 subjects in the replication sample for multivariate prediction of cognition with working memory task functional MRI. These results point to an important role for neuroimaging in translational neurodevelopmental research and showcase how findings in large samples can inform reproducible brain-behavior associations in small sample sizes that are at the heart of many investigators' research programs and grants.

Hospital Characteristics Associated With Clinically Integrated Network Participation.

BACKGROUND: Increased integration of physician organizations and hospitals into health systems has not necessarily improved clinical integration or patient outcomes. However, federal regulators have issued favorable opinions for clinically integrated networks (CINs) as a way to pursue coordination between hospitals and physicians. Hospital organizational affiliations, including independent practice associations (IPA), physician-hospital organizations (PHOs), and accountable care organizations (ACOs), may support CIN participation. No empirical evidence, however, exists about factors associated with CIN participation. METHODS: Data from the 2019 American Hospital Association survey (n = 4405) were analyzed to quantify hospital CIN participation. Multivariable logistic regression models were estimated to examine whether IPA, PHO, and ACO affiliations were associated with CIN participation, controlling for market factors and hospital characteristics. RESULTS: In 2019, 34.6% of hospitals participated in a CIN. Larger, not-for-profit, and metropolitan hospitals were more likely to participate in CINs. In adjusted analyses, hospitals participating in CINs were more likely to have an IPA (9.5% points, P < 0.001), a PHO (6.1% points, P < 0.001), and ACO (19.3% points, P < 0.001) compared with hospitals not participating in a CIN. CONCLUSIONS: Over one-third of hospitals participate in a CIN, despite limited evidence about their effectiveness in delivering value. Results suggest that CIN participation may be a response to integrative norms. Future work should attempt to better define CIN participation and strive to disentangle overlapping organizational participation.

Shared Decision-making Lowers Medical Expenditures and the Effect Is Amplified in Racially-Ethnically Concordant Relationships.

BACKGROUND: Racial-ethnic disparities are pervasive in health care. One mechanism that may underlie disparities is variation in shared decision-making (SDM), which encompasses high-quality clinician-patient communication, including deliberative discussions about treatment options. OBJECTIVES: To determine whether SDM has causal effects on outcomes and whether these effects are stronger within racial-ethnic concordant clinician-patient relationships. RESEARCH DESIGN: We use instrumental variables to estimate the causal effect of SDM on outcomes. SUBJECTS: A total of 60,584 patients from the 2003-2017 Integrated Public Use Microdata Series Medical Expenditure Panel Survey. Years 2018 and 2019 were excluded due to changes in the Medical Expenditure Panel Survey that omitted essential parts of the SDM index. MEASURES: Our key variable of interest is the SDM index. Outcomes included total, outpatient, and drug expenditures; physical and mental health; and the utilization of inpatient and emergency services. RESULTS: SDM lowers annual total health expenditures for all racial-ethnic groups, but this effect is only moderated among Black patients seen by Black clinicians, more than doubling in size relative to Whites. A similar SDM moderation effect also occurs for both Black patients seen by Black clinicians and Hispanic patients seen by Hispanic clinicians with regard to annual outpatient expenditures. There was no significant effect of SDM on self-reported physical or mental health. CONCLUSIONS: High-quality SDM can reduce health expenditures without negatively impacting overall physical or mental health, supporting a business case for health care organizations and systems to improve racial-ethnic clinician-patient concordance for Black and Hispanic patients.

COVID-19 Policies, Pandemic Disruptions, and Changes in Child Mental Health and Sleep in the United States.

Importance: The adverse effects of COVID-19 containment policies disrupting child mental health and sleep have been debated. However, few current estimates correct biases of these potential effects. Objectives: To determine whether financial and school disruptions related to COVID-19 containment policies and unemployment rates were separately associated with perceived stress, sadness, positive affect, COVID-19-related worry, and sleep. Design, Setting, and Participants: This cohort study was based on the Adolescent Brain Cognitive Development Study COVID-19 Rapid Response Release and used data collected 5 times between May and December 2020. Indexes of state-level COVID-19 policies (restrictive, supportive) and county-level unemployment rates were used to plausibly address confounding biases through 2-stage limited information maximum likelihood instrumental variables analyses. Data from 6030 US children aged 10 to 13 years were included. Data analysis was conducted from May 2021 to January 2023. Exposures: Policy-induced financial disruptions (lost wages or work due to COVID-19 economic impact); policy-induced school disruptions (switches to online or partial in-person schooling). Main Outcomes and Measures: Perceived stress scale, National Institutes of Health (NIH)-Toolbox sadness, NIH-Toolbox positive affect, COVID-19-related worry, and sleep (latency, inertia, duration). Results: In this study, 6030 children were included in the mental health sample (weighted median [IQR] age, 13 [12-13] years; 2947 [48.9%] females, 273 [4.5%] Asian children, 461 [7.6%] Black children, 1167 [19.4%] Hispanic children, 3783 [62.7%] White children, 347 [5.7%] children of other or multiracial ethnicity). After imputing missing data, experiencing financial disruption was associated with a 205.2% [95% CI, 52.9%-509.0%] increase in stress, a 112.1% [95% CI, 22.2%-268.1%] increase in sadness, 32.9% [95% CI, 3.5%-53.4%] decrease in positive affect, and a 73.9 [95% CI, 13.2-134.7] percentage-point increase in moderate-to-extreme COVID-19-related worry. There was no association between school disruption and mental health. Neither school disruption nor financial disruption were associated with sleep. Conclusions and Relevance: To our knowledge, this study presents the first bias-corrected estimates linking COVID-19 policy-related financial disruptions with child mental health outcomes. School disruptions did not affect indices of children's mental health. These findings suggest public policy should consider the economic impact on families due to pandemic containment measures, in part to protect child mental health until vaccines and antiviral drugs become available.

Telehealth Use, Care Continuity, and Quality: Diabetes and Hypertension Care in Community Health Centers Before and During the COVID-19 Pandemic.

BACKGROUND: Community health centers (CHCs) pivoted to using telehealth to deliver chronic care during the coronavirus COVID-19 pandemic. While care continuity can improve care quality and patients' experiences, it is unclear whether telehealth supported this relationship. OBJECTIVE: We examine the association of care continuity with diabetes and hypertension care quality in CHCs before and during COVID-19 and the mediating effect of telehealth. RESEARCH DESIGN: This was a cohort study. PARTICIPANTS: Electronic health record data from 166 CHCs with n=20,792 patients with diabetes and/or hypertension with ≥2 encounters/year during 2019 and 2020. METHODS: Multivariable logistic regression models estimated the association of care continuity (Modified Modified Continuity Index; MMCI) with telehealth use and care processes. Generalized linear regression models estimated the association of MMCI and intermediate outcomes. Formal mediation analyses assessed whether telehealth mediated the association of MMCI with A1c testing during 2020. RESULTS: MMCI [2019: odds ratio (OR)=1.98, marginal effect=0.69, z=165.50, P<0.001; 2020: OR=1.50, marginal effect=0.63, z=147.73, P<0.001] and telehealth use (2019: OR=1.50, marginal effect=0.85, z=122.87, P<0.001; 2020: OR=10.00, marginal effect=0.90, z=155.57, P<0.001) were associated with higher odds of A1c testing. MMCI was associated with lower systolic (ß=-2.90, P<0.001) and diastolic blood pressure (ß=-1.44, P<0.001) in 2020, and lower A1c values (2019: ß=-0.57, P=0.007; 2020: ß=-0.45, P=0.008) in both years. In 2020, telehealth use mediated 38.7% of the relationship between MMCI and A1c testing. CONCLUSIONS: Higher care continuity is associated with telehealth use and A1c testing, and lower A1c and blood pressure. Telehealth use mediates the association of care continuity and A1c testing. Care continuity may facilitate telehealth use and resilient performance on process measures.

Frontline work and racial disparities in social and economic pandemic stressors during the first COVID-19 surge.

OBJECTIVE: To assess the magnitude of racial-ethnic disparities in pandemic-related social stressors and examine frontline work's moderating relationship on these stressors. DATA SOURCES: Employed Californians' responses to the Institute for Governmental Studies (IGS) poll from April 16-20, 2020, were analyzed. The Pandemic Stressor Scale (PSS) assessed the extent to which respondents experienced or anticipated problems resulting from the inability to pay for basic necessities, job instability, lacking paid sick leave, unavailability of childcare, and reduced wages or work hours due to COVID-19. STUDY DESIGN: Mixed-effects generalized linear models estimated (1) racial-ethnic disparities in pandemic stressors among workers during the first COVID-19 surge, adjusting for covariates, and (2) tested the interaction between race-ethnicity and frontline worker status, which includes a subset of essential workers who must perform their job on-site, to assess differential associations of frontline work by race-ethnicity. DATA COLLECTION: The IGS poll data from employed workers (n = 4795) were linked to the 2018 Centers for Disease Control and Prevention Social Vulnerability Index at the zip code level (N = 1068). PRINCIPAL FINDINGS: The average PSS score was 37.34 (SD = 30.49). Whites had the lowest PSS score (29.88, SD = 26.52), and Latinxs had the highest (50.74, SD = 32.61). In adjusted analyses, Black frontline workers reported more pandemic-related stressors than White frontline workers (PSS = 47.73 vs. 36.96, p < 0.001). Latinxs reported more pandemic stressors irrespective of frontline worker status. However, the 5.09-point difference between Latinx frontline and non-frontline workers was not statistically different from the 4.6-point disparity between White frontline and non-frontline workers. CONCLUSION: Latinx workers and Black frontline workers disproportionately reported pandemic-related stressors. To reduce stress on frontline workers during crises, worker protections like paid sick leave, universal access to childcare, and improved job security are needed, particularly for those disproportionately affected by structural inequities, such as racially minoritized populations.

Moving suicide prevention upstream by understanding the effect of flourishing on suicidal ideation in midlife: an instrumental variable approach.

Prior research has examined the association between flourishing and suicidal ideation, but it is unknown whether this association is causal. Understanding the causality between flourishing and suicidal ideation is important for clinicians and policymakers to determine the value of innovative suicide prevention programs by improving flourishing in at-risk groups. Using a linked nationwide longitudinal sample of 1619 middle-aged adults (mean age 53, 53% female, 88% White) from the National Survey of Midlife Development in the United States (MIDUS), this retrospective cohort study aims to assess the causal relationship between flourishing and suicidal ideation among middle-aged adults in the US. Flourishing is a theory-informed 13-scale index covering three domains: emotional, psychological, and social well-being. Suicidal ideation was self-reported in a follow-up interview conducted after measuring flourishing. We estimated instrumental variable models to examine the potential causal relationship between flourishing and suicidal ideation. High-level flourishing (binary) was reported by 486 (30.0%) individuals, and was associated with an 18.6% reduction in any suicidal ideation (binary) (95% CI, - 29.3- - 8.0). Using alternative measures, a one standard deviation increase in flourishing (z-score) was associated with a 0.518 (95% CI, 0.069, 0.968) standard deviation decrease in suicidal ideation (z-score). Our results suggest that prevention programs that increase flourishing in midlife should result in meaningful reductions in suicide risk. Strengthening population-level collaboration between policymakers, clinical practitioners, and non-medical partners to promote flourishing can support our collective ability to reduce suicide risks across social, economic, and other structural circumstances.

Impact of a selective narrow network with comprehensive patient navigation on access, utilization, expenditures, and enrollee experiences.

OBJECTIVE: To examine the effect of enrollee switching from a broad-network accountable care organization (ACO) health maintenance organization (HMO) to a "high performance" ACO-HMO with a selective narrow network and comprehensive patient navigation system on access, utilization, expenditures, and enrollee experiences. DATA SOURCES: Secondary administrative data were obtained for 2016-2020, and primary interview and survey data in 2021. STUDY DESIGN: Fixed-effects instrumental variable analyses of administrative data and regression analyses of survey data. Outcomes included access, utilization, expenditures, and enrollee experience. Background information was gathered via interviews. DATA COLLECTION/EXTRACTION METHODS: We obtained medical expenditure/enrollment and access data on continuously enrolled members in a broad-network ACO-HMO (n = 24,555), a subset of those who switched to a high-performance ACO-HMO in 2018 (n = 7664); interviews of organizational leaders (n = 13); and an enrollee survey (n = 512). PRINCIPAL FINDINGS: Health care effectiveness data and information Set (HEDIS) access measures were not different across plans. However, annual utilization dropped by 15.5 percentage points (95% CI: 18.1, 12.9) more in the high-performance ACO-HMO, with relative annual expenditures declining by $1251 (95% CI: $1461, $1042) per person per year. High-performance ACO-HMO enrollees were 10.1 percentage points (95% CI 0.001, 0.201) more likely to access primary care usually or always as soon as needed and 11.2 percentage points (95% CI 0.007, 0.217) more likely to access specialty care usually or always as soon as needed. Plan satisfaction was 7.1 percentage points (95% CI: -0.001, 0.138) higher in the high-performance ACO-HMO. Interviewees noted the comprehensive patient navigation system was designed to ensure patients remained in the narrow network to receive care. CONCLUSIONS: ACO and HMO contracts with selective narrow networks supported by comprehensive patient navigation can reduce expenditures and improve specialty access and patient satisfaction compared to broad-network plans that lack these features. Payers should consider implementing narrow networks with comprehensive support systems.

The effect of social network strain on suicidal ideation among middle-aged adults with adverse childhood experiences in the US: A twelve-year nationwide study.

Objective: Building on literature that measured the association between social network strain (SNS) and suicidal ideation using conventional regression analyses, we examined the effect of SNS, due to adverse childhood experiences (ACEs), on suicidal ideation using instrumental variables (IV) to eliminate the potential biases that may have occurred in earlier studies due to residual confounding. Methods: This retrospective cohort study linked longitudinal data from the National Survey of Midlife Development in the United States (MIDUS) Refresher Biomarker Project (2012-2016), the MIDUS Refresher Project (2011-2014), the MIDUS 2 Biomarker Project (2004-2009), and the MIDUS 2 Project (2004-2006). Participants completed a phone interview, self-administered survey, and biomarker data collection. Exposure indicators included self-reported suicidal ideation, ACEs, and SNS from family, spouse, and friends. IV analysis was used to evaluate the continuous local average treatment effect of SNS on suicidal ideation when SNS only varied due to variation in ACEs. Results: Our sample included 1703 middle-aged adults (52.9% females), which were followed up for 12 years. An IV probit model controlling for sociodemographic characteristics found a one-standard-deviation reduction in SNS reduced suicidal ideation by 22.6% (p < 0.01). A comprehensively controlled IV probit model found that a one-standard-deviation reduction in SNS is associated with a 21.4% (p = 0.05) decrease in suicidal ideation. Conclusions: The causal pathway from SNS (due to ACEs) to suicidal ideation among middle-aged adults was established using IV analysis in this large-scale longitudinal study. The magnitude of this effect is sufficient to warrant the development of programs to improve social network relationships among family, friends, and spouses/partners. Suicide prevention programs addressing SNS may significantly reduce suicidal ideation among middle-aged Americans who have experienced ACEs.

Do aggregate, multimodal structural neuroimaging measures replicate regional developmental differences observed in highly cited cellular histological studies?

Influential investigations of postmortem human brain tissue showed regional differences in tissue properties at early phases of development, such as between prefrontal and primary sensory cortical regions. Large-scale neuroimaging studies enable characterization of age-related trajectories with much denser sampling of cortical regions, assessment ages, and demographic variables than postmortem tissue analyses, but no single imaging measure perfectly captures what is measured with histology. Using publicly available data from the Pediatric Imaging, Neurocognition, and Genetics (PING) study, including 951 participants with ages ranging from 3 to 21 years, we characterized cortical regional variability in developmental trajectories of multimodal brain imaging measures. Multivariate analyses integrated morphometric and microstructural cortical surface measures. To replicate foundational histological work showing delayed synapse elimination in middle frontal gyrus relative to primary sensory areas, we tested whether developmental trajectories differ between prefrontal and visual or auditory cortex. We extended this to a whole-cortex analysis of interregional differences, producing cortical parcellations with maximally different developmental trajectories. Consistent with the general conclusions of postmortem analyses, our imaging results suggest that prefrontal regions show a protracted period of greater developmental change; however, they also illustrate the challenges of drawing conclusions about the relative maturational phases of different brain regions.

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.

Association of patient engagement strategies with utilisation and spending for musculoskeletal problems in the USA: a cross-sectional analysis of Medicare patients and physician practices.

OBJECTIVE: Musculoskeletal problems like hip and knee osteoarthritis and low-back pain are preference sensitive conditions. Patient engagement strategies (PES), such as shared decision-making and motivational interviewing, can help align patients' preferences with treatment options and potentially reduce spending. We assess the association of physician practice-level adoption of PES with utilisation and spending. DESIGN: Cross-sectional study in which patients were matched across low, moderate and high levels of PES via coarsened exact matching. SETTING: Primary and secondary care in 2190 physician practices. PARTICIPANTS: 39 336 hip, 48 362 knee and 67 940 low-back patients who were Medicare beneficiaries were matched to the 2017-2018 National Survey of Healthcare Organizations and Systems. PRIMARY AND SECONDARY OUTCOME MEASURES: Total hip replacement (THR), total knee replacement (TKR), 1-2 level posterior lumbar fusion (LF), total annual spending, components of total annual spending. RESULTS: Total annual spending for patients with musculoskeletal problems did not differ for practices with low versus moderate PES, low versus high PES or moderate versus high PES, but spending was significantly lower in some categories for practices with relatively higher PES adoption. For hospital-owned and health system-owned practices, the ORs of receiving LF were 0.632 (95% CI 0.396 to 1.009) for patients attributed to practices with high PES compared with patients attributed to practices with moderate PES. For independent practices, the odds of receiving THR were 1.403 (95% CI 1.035 to 1.902) for patients attributed to practices with moderate PES compared with patients attributed to practices with low PES. CONCLUSIONS: Practice-level adoption of PES for patients with musculoskeletal problems was generally not associated with total spending. PES, however, may steer patients toward evidence-based treatments. Opportunities for overall spending reduction exist as indicated by the variation in the subcomponents of total spending by PES adoption.

Price Differences To Insurers For Infused Cancer Drugs In Hospital Outpatient Departments And Physician Offices.

The prices paid in 2019 by Blue Cross Blue Shield health plans in hospital outpatient departments were double those paid in physician offices for biologics, chemotherapies, and other infused cancer drugs (99-104 percent higher) and for infused hormonal therapies (68 percent higher). Had these plans excluded hospital clinics from their networks, channeling all of the infusions to physician offices, they would have saved $1.28 billion per year, or 26 percent of what they actually paid. Had they relied on cost-sharing incentives to channel infusions to physician offices-with either uniform 20 percent coinsurance or reference pricing-they would have realized savings but increased the financial burden on patients who received care at the higher-price hospital clinics. Under 20 percent coinsurance, patients' payment obligations for care at hospital clinics would have exceeded those for care in physician offices by a median of 67 percent for biologics, 72 percent for chemotherapies, 87 percent for hormonal therapies, and 75 percent for other cancer drugs. Large savings are potentially available to commercial insurers from shifting cancer infusion care to nonhospital settings, but cost-sharing burdens could become very high for patients.

Understanding the distributional impacts of health insurance reform: Evidence from a consumer cost-sharing program.

We examine the heterogeneous effects of reference pricing, a health insurance reform introduced by the California Public Employees' Retirement System (CalPERS), on the distribution of spending by patients and insurers. Using medical claims data for CalPERS and a comparison group not subject to reference pricing, we use the changes-in-changes approach to estimate the quantile treatment effects of the program across different medical procedures. We find that the quantile treatment effects vary across the patient spending distributions, with a range of positive and negative estimates of the QTE, depending on the medical procedure considered. However, across all procedures, the insurer's spending distributions tend to shift left, with the largest reductions occurring in the right-tail of the spending distributions. These effects are not captured by mean estimates but have important policy implications.