Racial-Ethnic Differences in Receipt of Past-Year Health Care Services Among Suicide Decedents: A Case-Control Study.

OBJECTIVE: Suicide remains an urgent public health crisis. Although some sociodemographic characteristics are associated with greater suicide risk in the general population, it is unclear whether individuals utilizing health care in the United States have similar suicide incidence patterns. The authors examined whether race-ethnicity is associated with suicide death among patients seeking health care and investigated health care utilization patterns. METHODS: Data were collected from electronic health records and government mortality records for patients seeking health care across nine health care systems in the United States. Patients who died by suicide (N=1,935) were matched with patients in a control group (N=19,350) within each health care system. RESULTS: Patients who died by suicide were significantly more likely to be White, older, male, living in low-education areas, living in rural areas, or diagnosed as having mental health conditions or were significantly less likely to have commercial insurance (p<0.05). Among most racial-ethnic groups, those who died by suicide had a higher number of past-year mental health, primary care, and total health care visits; for American Indian/Alaska Native patients, the number of health care visits tended to be lower among suicide decedents. CONCLUSIONS: These findings suggest that higher past-year health care utilization was associated with increased likelihood of suicide death across several racial-ethnic groups. This observation underscores the need for identifying and managing suicide risk in health care settings, including outside of mental health visits, among most racial-ethnic groups.

Returning personalized, genetic health test results to individuals of African descent or ancestry in precision medicine research.

Today, many epidemiological studies and biobanks are offering to disclose individual genetic results to their participants, including the National Institutes of Health's All of Us Research Program. Returning hereditary disease risks and pharmacogenetic test results to study participants from racial/ethnic groups that are historically underrepresented in biomedical research poses specific challenges to those participants and the health system writ large. For example, individuals of African descent are underrepresented in research about drug-gene interactions and have a relatively higher proportion of variants of unknown significance, affecting their ability to take clinical action following return of results. In this brief report, we summarize studies published to date concerning the perspectives and/or attitudes of African Americans engaged in genetic research programs to anticipate factors in disclosure protocols that would minimize risks and maximize benefits. A thematic analysis of studies identified (n = 6) lends to themes centered on motivations to engage or disengage in the return of results and integrating research and care. Actionable strategies determined in reaction to these themes center on ensuring adequate system and health education support for participants and personalizing the process for participants engaging in return of results. Overall, we offer these themes and actionable strategies as early guidance to research programs, and provide recommendations to policy makers focused on fair and equitable return of genetic research results to underrepresented research participants.

Association Between Adverse Social Determinants of Health and Suicide Death.

OBJECTIVE: The aim of this study was to identify adverse social determinants of health (SDoH) International Statistical Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code prevalence among individuals who died by suicide and to examine associations between documented adverse SDoH and suicide. RESEARCH DESIGN: A case-control study using linked medical record, insurance claim, and mortality data from 2000 to 2015 obtained from 9 Mental Health Research Network-affiliated health systems. We included 3330 individuals who died by suicide and 333,000 randomly selected controls matched on index year and health system location. All individuals in the study (cases and controls) had at least 10 months of enrollment before the study index date. The index date for the study for each case and their matched controls was the suicide date for that given case. RESULTS: Adverse SDoH documentation was low; only 6.6% of cases had ≥1 documented adverse SDoH in the year before suicide. Any documented SDoH and several specific adverse SDoH categories were more frequent among cases than controls. Any documented adverse SDoH was associated with higher suicide odds [adjusted odds ratio (aOR)=2.76; 95% CI: 2.38-3.20], as was family alcoholism/drug addiction (aOR=18.23; 95% CI: 8.54-38.92), being an abuse victim/perpetrator (aOR=2.53; 95% CI: 1.99-3.21), other primary support group problems (aOR=1.91; 95% CI: 1.32-2.75), employment/occupational maladjustment problems (aOR=8.83; 95% CI: 5.62-13.87), housing/economic problems (aOR: 6.41; 95% CI: 4.47-9.19), legal problems (aOR=27.30; 95% CI: 12.35-60.33), and other psychosocial problems (aOR=2.58; 95% CI: 1.98-3.36). CONCLUSIONS: Although documented SDoH prevalence was low, several adverse SDoH were associated with increased suicide odds, supporting calls to increase SDoH documentation in medical records. This will improve understanding of SDoH prevalence and assist in identification and intervention among individuals at high suicide risk.

The Impact of Prescribing Monitoring Policy on Drug Use and Expenditures in China: A Multi-center Interrupted Time Series Study.

BACKGROUND: A prescribing monitoring policy (PMP) was implemented in November 2015 in Anhui province, China, the first province to pilot this policy to manage the use and costs of select drugs based on their large prescription volumes and/ or costs in hospitals. This study evaluated the impact of PMP on the use and expenditures of different drugs in three tertiary hospitals in Anhui. METHODS: We obtained monthly drug use and expenditures data from three tertiary hospitals in Anhui (November 2014 through September 2017). An interrupted time series (ITS) design was used to estimate changes in defined daily doses (DDDs per month) and drug expenditures (dollars per month) of policy-targeted and non-targeted drugs after PMP implementation. Drugs were grouped based on whether they were recommended (recommended drugs) by any clinical guidelines or not (non-recommended drugs), or if they were potentially over-used (proton pump inhibitors, PPIs). RESULTS: After PMP, DDDs and costs of the targeted PPIs (omeprazole) declined while use of non-targeted PPIs increased correspondingly with overall sustained declines in total PPIs. The policy impact on recommended drugs varied based on whether the targeted drugs have appropriate alternatives. The DDDs and costs of recommended drugs that have readily accessible appropriate alternatives (atorvastatin) declined, which offset increases in its alternative non-target drugs (rosuvastatin), while there was no significant change in those recommended drugs that did not have appropriate alternative drugs (clopidogrel and ticagrelor). Finally, the DDDs and costs of non-recommended drugs decreased significantly. CONCLUSION: PMP policy impact was not the same across different drug groups. PMP did help contain the use and costs of potentially over-used drugs and non-recommended drugs. PMP did not seem to reduce the use of first-line therapeutic drugs recommended by clinical treatment guidelines, especially those lacking alternatives; such drugs are unlikely appropriate candidates for PMP.

An Assessment of Perspectives and Concerns Among Research Participants of Childbearing Age Regarding the Health-Relatedness of Data, Online Data Privacy, and Donating Data to Researchers: Survey Study.

BACKGROUND: The June 2022 US Supreme Court decision to ban abortion care in Dobbs v Jackson Women's Health Organization sparked ominous debate about the privacy and safety of women and families of childbearing age with digital footprints who actively engage in family planning, including abortion and miscarriage care. OBJECTIVE: To assess the perspectives of a subpopulation of research participants of childbearing age regarding the health-relatedness of their digital data, their concerns about the use and sharing of personal data online, and their concerns about donating data from various sources to researchers today or in the future. METHODS: An 18-item electronic survey was developed using Qualtrics and administered to adults (aged ≥18 years) registered in the ResearchMatch database in April 2021. Individuals were invited to participate in the survey regardless of health status, race, gender, or any other mutable or immutable characteristics. Descriptive statistical analyses were conducted using Microsoft Excel and manual queries (single layer, bottom-up topic modeling) and used to categorize illuminating quotes from free-text survey responses. RESULTS: A total of 470 participants initiated the survey and 402 completed and submitted the survey (for an 86% completion rate). Nearly half the participants (189/402, 47%) self-reported to be persons of childbearing age (18 to 50 years). Most participants of childbearing age agreed or strongly agreed that social media data, email data, text message data, Google search history data, online purchase history data, electronic medical record data, fitness tracker and wearable data, credit card statement data, and genetic data are health-related. Most participants disagreed or strongly disagreed that music streaming data, Yelp review and rating data, ride-sharing history data, tax records and other income history data, voting history data, and geolocation data are health-related. Most (164/189, 87%) participants were concerned about fraud or abuse based on their personal information, online companies and websites sharing information with other parties without consent, and online companies and websites using information for purposes that are not explicitly stated in their privacy policies. Free-text survey responses showed that participants were concerned about data use beyond scope of consent; exclusion from health care and insurance; government and corporate mistrust; and data confidentiality, security, and discretion. CONCLUSIONS: Our findings in light of Dobbs and other related events indicate there are opportunities to educate research participants about the health-relatedness of their digital data. Developing strategies and best privacy practices for discretion regarding digital-footprint data related to family planning should be a priority for companies, researchers, families, and other stakeholders.

Benefits, harms, and costs of newborn genetic screening for hypertrophic cardiomyopathy: Estimates from the PreEMPT model.

PURPOSE: Population newborn genetic screening for hypertrophic cardiomyopathy (HCM) is feasible, however its benefits, harms, and cost-effectiveness are uncertain. METHODS: We developed a microsimulation model to simulate a US birth cohort of 3.7 million newborns. Those identified with pathogenic/likely pathogenic variants associated with increased risk of HCM underwent surveillance and recommended treatment, whereas in usual care, individuals with family histories of HCM underwent surveillance. RESULTS: In a cohort of 3.7 million newborns, newborn genetic screening would reduce HCM-related deaths through age 20 years by 44 (95% uncertainty interval [UI] = 10-103) however increase the numbers of children undergoing surveillance by 8127 (95% UI = 6308-9664). Compared with usual care, newborn genetic screening costs $267,000 per life year saved (95% UI, $106,000 to $919,000 per life year saved). CONCLUSION: Newborn genetic screening for HCM could prevent deaths but at a high cost and would require many healthy children to undergo surveillance. This study shows how modeling can provide insights into the tradeoffs between benefits and costs that will need to be considered as newborn genetic screening is more widely adopted.

Detecting and distinguishing indicators of risk for suicide using clinical records.

Health systems are essential for suicide risk detection. Most efforts target people with mental health (MH) diagnoses, but this only represents half of the people who die by suicide. This study seeks to discover and validate health indicators of suicide death among those with, and without, MH diagnoses. This case-control study used statistical modeling with health record data on diagnoses, procedures, and encounters. The study included 3,195 individuals who died by suicide from 2000 to 2015 and 249,092 randomly selected matched controls, who were age 18+ and affiliated with nine Mental Health Research Network affiliated health systems. Of the 202 indicators studied, 170 (84%) were associated with suicide in the discovery cohort, with 148 (86%) of those in the validation cohort. Malignant cancer diagnoses were risk factors for suicide in those without MH diagnoses, and multiple individual psychiatric-related indicators were unique to the MH subgroup. Protective effects across MH-stratified models included diagnoses of benign neoplasms, respiratory infections, and utilization of reproductive services. MH-stratified latent class models validated five subgroups with distinct patterns of indicators in both those with and without MH. The highest risk groups were characterized via high utilization with multiple healthcare concerns in both groups. The lowest risk groups were characterized as predominantly young, female, and high utilizers of preventive services. Healthcare data include many indicators of suicide risk for those with and without MH diagnoses, which may be used to support the identification and understanding of risk as well as targeting of prevention in health systems.

High-Deductible Health Plans Paired With Health Savings Accounts Increased Medication Cost Burden Among Individuals With Bipolar Disorder.

Objective: High-deductible health plans paired with health savings accounts (HSA-HDHPs) require substantial out-of-pocket spending for most services, including medications. We examined effects of HSA-HDHPs on medication out-of-pocket spending and use among people with bipolar disorder.Methods: This quasi-experimental study used claims data for January 2003 through December 2014. We studied a national sample of 348 members with bipolar disorder (defined based on International Classification of Diseases, 9th Revision), aged 12 to 64 years, who were continuously enrolled for 1 year in a low-deductible plan (≤ $500) then 1 year in an HSA-HDHP (≥ $1,000) after an employer-mandated switch. HSA-HDHP members were matched to 4,087 contemporaneous controls who remained in low-deductible plans. Outcome measures included out-of-pocket spending and use of bipolar disorder medications, non-bipolar psychotropics, and all other medications.Results: Mean pre-to-post out-of-pocket spending per person for bipolar disorder medications increased by 149.7% among HSA-HDHP versus control members (95% confidence interval [CI], 109.9% to 189.5%). Specifically, out-of-pocket spending increased for antipsychotics (220.9% [95% CI, 150.0% to 291.8%]) and anticonvulsants (109.6% [95% CI, 67.3% to 152.0%]). Both higher-income and lower-income HSA-HDHP members experienced increases in out-of-pocket spending for bipolar disorder medications (135.2% [95% CI, 86.4% to 184.0%] and 164.5% [95% CI, 100.9% to 228.1%], respectively). We did not detect statistically significant changes in use of bipolar disorder medications, non-bipolar psychotropics, or all other medications in this study population of HSA-HDHP members.Conclusions: HSA-HDHP members with bipolar disorder experienced substantial increases in out-of-pocket burdens for medications essential for their functioning and well-being. Although HSA-HDHPs were not associated with detectable reductions in medication use, high out-of-pocket costs could cause financial strain for lower-income enrollees.

Diabetes Microvascular Disease Diagnosis and Treatment After High-Deductible Health Plan Enrollment.

OBJECTIVE: The Affordable Care Act mandates that primary preventive services have no out-of-pocket costs but does not exempt secondary prevention from out-of-pocket costs. Most commercially insured patients with diabetes have high-deductible health plans (HDHPs) that subject key microvascular disease-related services to high out-of-pocket costs. Brief treatment delays can significantly worsen microvascular disease outcomes. RESEARCH DESIGN AND METHODS: This cohort study used a large national commercial (and Medicare Advantage) health insurance claims data set to examine matched groups before and after an insurance design change. The study group included 50,790 patients with diabetes who were continuously enrolled in low-deductible (≤$500) health plans during a baseline year, followed by up to 4 years in high-deductible (≥$1,000) plans after an employer-mandated switch. HDHPs had low out-of-pocket costs for nephropathy screening but not retinopathy screening. A matched control group included 335,178 patients with diabetes who were contemporaneously enrolled in low-deductible plans. Measures included time to first detected microvascular disease screening, severe microvascular disease diagnosis, vision loss diagnosis/treatment, and renal function loss diagnosis/treatment. RESULTS: HDHP enrollment was associated with relative delays in retinopathy screening (0.7 months [95% CI 0.4, 1.0]), severe retinopathy diagnosis (2.9 months [0.5, 5.3]), and vision loss diagnosis/treatment (3.8 months [1.2, 6.3]). Nephropathy-associated measures did not change to a statistically significant degree among HDHP members relative to control subjects at follow-up. CONCLUSIONS: People with diabetes in HDHPs experienced delayed retinopathy diagnosis and vision loss diagnosis/treatment of up to 3.8 months compared with low-deductible plan enrollees. Findings raise concerns about visual health among HDHP members and call attention to discrepancies in Affordable Care Act cost sharing exemptions.

Economic Evaluation of Universal Lynch Syndrome Screening Protocols among Newly Diagnosed Patients with Colorectal Cancer.

We conducted an updated economic evaluation, from a healthcare system perspective, to compare the relative effectiveness and efficiency of eight Lynch syndrome (LS) screening protocols among newly diagnosed colorectal cancer (CRC) patients. We developed decision analytic models for a hypothetical cohort of 1000 patients. Model assumptions and parameter values were based on literature and expert opinion. All costs were in 2018 USD. For identifying LS cases, the direct germline sequencing (DGS) protocol provided the best performance (sensitivity 99.90%, 99.57-99.93%; specificity 99.50%, 97.28-99.85%), followed by the tumor sequencing to germline sequencing (TSGS) protocol (sensitivity, 99.42%, 96.55-99.63%; specificity, 96.58%, 96.46-96.60%). The immunohistochemistry (IHC) protocol was most efficient at $20,082 per LS case identified, compared to microsatellite instability (MSI) ($22,988), DGS ($31,365), and TSGS ($104,394) protocols. Adding double-somatic testing to IHC and MSI protocols did not change sensitivity and specificity, increased costs by 6% and 3.5%, respectively, but reduced unexplained cases by 70% and 50%, respectively. DGS would be as efficient as the IHC protocol when the cost of germline sequencing declines under $368 indicating DGS could be an efficient option in the near future. Until then, IHC and MSI protocols with double-somatic testing would be the optimal choices.

Impact of High-Deductible Health Plans on Medication Use Among Individuals With Bipolar Disorder.

OBJECTIVE: High-deductible health plans (HDHPs) require substantial out-of-pocket spending for most services, although medications may be subject to traditional copayment arrangements. This study examined effects of HDHPs on medication out-of-pocket spending and use and quality of care among individuals with bipolar disorder. METHODS: This quasi-experimental study used claims data (2003-2014) for a national sample of 3,532 members with bipolar disorder, ages 12-64, continuously enrolled for 1 year in a low-deductible plan (≤$500) and then for 1 year in an HDHP (≥$1,000) after an employer-mandated switch. HDHP members were matched to 18,923 contemporaneous individuals in low-deductible plans (control group). Outcome measures were out-of-pocket spending and use of bipolar disorder medications, psychotropics for other disorders, and all other medications and appropriate laboratory monitoring for psychotropics. RESULTS: Relative to the control group, annual out-of-pocket spending per person for bipolar disorder medications increased 20.8% among HDHP members (95% confidence interval [CI]=14.9%-26.7%), and the absolute increase was $36 (95% CI=$25.9-$45.2). Specifically, out-of-pocket spending increased for antipsychotics (27.1%; 95% CI=17.4%-36.7%) and anticonvulsants (19.2%; 95% CI=11.9%-26.6%) but remained stable for lithium (-3.7%; 95% CI=-12.2% to 4.8%). No statistically significant changes were detected in use of bipolar disorder medications, other psychotropics, or all other medications or in appropriate laboratory monitoring for bipolar disorder medications. CONCLUSIONS: HDHP members with bipolar disorder experienced a moderate increase in out-of-pocket spending for medications but preserved bipolar disorder medication use. Findings may reflect individuals' perceptions of the importance of these medications for their functioning and well-being.

African American Nurses' Perspectives on Genomic Medicine Research.

Background: There is a lack of African American (AA) community engagement in genomic medicine research. Recent popular interest in the experience of AAs, such as that of Henrietta Lacks, has perhaps prompted interest in research on how AA nurses can provide strategies to better engage AA communities in genomic medicine research. Methods: The authors conducted one-on-one semi-structured interviews with 11 National Black Nurses Association (NBNA) chapter leaders from 8 different US states, representing 782 NBNA members. Results: Our results quantified NBNA chapter leader agreement on known themes from the literature, captured newly emerging themes, and produced a set of actionable strategies to help overcome barriers to AA engagement in genomic medicine research that fall under 6 themes: (1) engagement, support, information dissemination, and implementation recommendations in general and to address health disparities; (2) addressing language barriers; (3) addressing research implementation barriers; (4) getting physicians to participate; (5) overcoming privacy concerns; and (6) nursing education recommendations. Conclusions: Actionable strategies presented herein can help researchers better engage AA communities in genomic medicine research.

Universal newborn genetic screening for pediatric cancer predisposition syndromes: model-based insights.

PURPOSE: Genetic testing for pediatric cancer predisposition syndromes (CPS) could augment newborn screening programs, but with uncertain benefits and costs. METHODS: We developed a simulation model to evaluate universal screening for a CPS panel. Cohorts of US newborns were simulated under universal screening versus usual care. Using data from clinical studies, ClinVar, and gnomAD, the presence of pathogenic/likely pathogenic (P/LP) variants in RET, RB1, TP53, DICER1, SUFU, PTCH1, SMARCB1, WT1, APC, ALK, and PHOX2B were assigned at birth. Newborns with identified variants underwent guideline surveillance. Survival benefit was modeled via reductions in advanced disease, cancer deaths, and treatment-related late mortality, assuming 100% adherence. RESULTS: Among 3.7 million newborns, under usual care, 1,803 developed a CPS malignancy before age 20. With universal screening, 13.3% were identified at birth as at-risk due to P/LP variant detection and underwent surveillance, resulting in a 53.5% decrease in cancer deaths in P/LP heterozygotes and a 7.8% decrease among the entire cohort before age 20. Given a test cost of $55, universal screening cost $244,860 per life-year gained; with a $20 test, the cost fell to $99,430 per life-year gained. CONCLUSION: Population-based genetic testing of newborns may reduce mortality associated with pediatric cancers and could be cost-effective as sequencing costs decline.

Integrating Stakeholder Engagement With Claims-Based Research on Health Insurance Design and Bipolar Disorder.

Researchers increasingly recognize that stakeholder involvement enhances research relevance and validity. However, reports of patient engagement in research that relies on administrative records data are rare. The authors' collaborative project combined quantitative and qualitative studies of costs and access to care among U.S. adults with employer-sponsored insurance. The authors analyzed insurance claims to estimate the impacts on enrollee costs and utilization after patients with bipolar disorder were switched from traditional coverage to high-deductible health plans. In parallel, in-depth interviews explored people's experiences accessing treatment for bipolar disorder. Academic investigators on the research team partnered with the Depression and Bipolar Support Alliance (DBSA), a national advocacy organization for people with mood disorders. Detailed personal stories from DBSA-recruited volunteers informed and complemented the claims analyses. Several DBSA audience forums and a stakeholder advisor panel contributed regular feedback on study issues. These multiple engagement modes drew inputs of varying intensity from diverse community segments. Efforts to include new voices must acknowledge individuals' distinct interests and barriers to research participation. Strong engagement leadership roles ensure productive communication between researchers and stakeholders. The involvement of people with direct experience of care is especially necessary in research that uses secondary data. Longitudinal, adaptable partnerships enable colearning and higher-quality research that captures the manifold dimensions of patient experiences.

Experiences of health care costs among people with employer-sponsored insurance and bipolar disorder.

BACKGROUND: Cost-sharing disproportionately affects people with chronic illnesses needing more care. Our qualitative study examined lived experiences navigating insurance benefits and treatment for bipolar disorder, which requires ongoing access to behavioral specialists and psychotropic medications. METHODS: Forty semi-structured telephone interviews with individuals with bipolar disorder and employer-sponsored health insurance, or their family caregivers, explored health care needs, coverage details, out-of-pocket (OOP) costs, and perspectives on value. An iterative analytic approach identified salient themes. RESULTS: Most individuals in our sample faced an annual insurance deductible, from $350-$10,000. OOP costs for specialist visits ranged from $0-$450 and for monthly psychotropic medications from $0-$1650. Acute episodes and care for comorbidities, including medication side effects, added to cost burdens. Medication nonadherence due to OOP costs was rare; respondents frequently pointed to the necessity of medications: "whatever it takes to get those"; "it's a life or death situation." Respondents also prioritized visits to psychiatrist prescribers, though visits were maximally spaced because of cost. Psychotherapy was often deemed unaffordable and forgone, despite perceived need. Interviewees cited limited networks and high out-of-network costs as barriers to specialists. Cost-sharing sometimes led to debt, skimping on nonbehavioral care or other necessities, exacerbated or prolonged mood symptoms, and stress at home. LIMITATIONS: Volunteer respondents may not fully represent the target population. CONCLUSIONS: Many people with bipolar disorder in US employer-sponsored plans experience undertreatment, hardship, and adverse health consequences due to high cost-sharing. More nuanced insurance benefit designs should accommodate the needs of individuals with complex conditions.

The Complex Cancer Care Coverage Environment - What is the Role of Legislation? A Case Study from Massachusetts.

Over the past decades, anti-cancer treatments have evolved rapidly from cytotoxic chemotherapies to targeted therapies including oral targeted medications and injectable immuno-oncology and cell therapies. New anti-cancer medications come to markets at increasingly high prices, and health insurance coverage is crucial for patient access to these therapies. State laws are intended to facilitate insurance coverage of anti-cancer therapies.Using Massachusetts as a case study, we identified five current cancer coverage state laws and interviewed experts on their perceptions of the relevance of the laws and how well they meet the current needs of cancer care given rapid changes in therapies. Interviewees emphasized that cancer therapies, as compared to many other therapeutic areas, are unique because insurance legislation targets their coverage. They identified the oral chemotherapy parity law as contributing to increasing treatment costs in commercial insurance. For commercial insurers, coverage mandates combined with the realities of new cancer medications - including high prices and often limited evidence of efficacy at approval - compound a difficult situation. Respondents recommended policy approaches to address this challenging coverage environment, including the implementation of closed formularies, the use of cost-effectiveness studies to guide coverage decisions, and the application of value-based pricing concepts. Given the evolution of cancer therapeutics, it may be time to evaluate the benefits and challenges of cancer coverage mandates.

Association Between Switching to a High-Deductible Health Plan and Major Cardiovascular Outcomes.

Importance: Most people with commercial health insurance in the US have high-deductible plans, but the association of such plans with major health outcomes is unknown. Objective: To describe the association between enrollment in high-deductible health plans and the risk of major adverse cardiovascular outcomes. Design, Setting, and Participants: This cohort study examined matched groups before and after an insurance design change. Data were from a large national commercial (and Medicare Advantage) health insurance claims data set that included members enrolled between January 1, 2003, and December 31, 2014. The study group included 156 962 individuals with risk factors for cardiovascular disease who were continuously enrolled in low-deductible (≤$500) health plans during a baseline year followed by up to 4 years in high-deductible (≥$1000) plans with typical value-based features after an employer-mandated switch. The matched control group included 1 467 758 individuals with the same risk factors who were contemporaneously enrolled in low-deductible plans. Data were analyzed from December 2017 to March 2020. Exposures: Employer-mandated transition to a high-deductible health plan. Main Outcomes and Measures: Time to first major adverse cardiovascular event defined as myocardial infarction or stroke. Results: The study group included 156 962 individuals and the control group included 1 467 758 individuals; the mean age of members was 53 years (SD: high-deductible group, 6.7 years; control group, 6.9 years), 47% were female, and approximately 48% lived in low-income neighborhoods. First major adverse cardiovascular events among high-deductible health plan members did not differ relative to controls at follow-up vs baseline (adjusted hazard ratio, 1.00; 95% CI, 0.89-1.13). Findings were similar among subgroups with diabetes (adjusted hazard ratio, 0.93; 95% CI, 0.75-1.16) and with other cardiovascular risk factors (adjusted hazard ratio, 0.93; 95% CI, 0.81-1.07). Conclusions and Relevance: Mandated enrollment in high-deductible health plans with typical value-based features was not associated with increased risk of major adverse cardiovascular events.

Effect of high-deductible insurance on health care use in bipolar disorder.

OBJECTIVES: To determine the impact of high-deductible health plans (HDHPs) on health care use among individuals with bipolar disorder. STUDY DESIGN: Interrupted time series with propensity score-matched control group design, using a national health insurer's claims data set with medical, pharmacy, and enrollment data. METHODS: The intervention group was composed of 2862 members with bipolar disorder who were enrolled for 1 year in a low-deductible (≤$500) plan and then 1 year in an HDHP (≥$1000) after an employer-mandated switch. HDHP members were propensity score matched 1:3 to contemporaneous controls in low-deductible plans. The main outcomes included out-of-pocket spending per health care service, mental health-related outpatient visits (subclassified as visits to nonpsychiatrist mental health providers and to psychiatrists), emergency department (ED) visits, and hospitalizations. RESULTS: Mean pre- to post-index date out-of-pocket spending per visit on all mental health office visits, nonpsychiatrist mental health provider visits, and psychiatrist visits increased by 21.9% (95% CI, 15.1%-28.6%), 33.8% (95% CI, 2.0%-65.5%), and 17.8% (95% CI, 12.2%-23.4%), respectively, among HDHP vs control members. The HDHP group experienced a -4.6% (95% CI, -11.7% to 2.5%) pre- to post change in mental health outpatient visits relative to controls, a -10.9% (95% CI, -20.6% to -1.3%) reduction in nonpsychiatrist mental health provider visits, and unchanged psychiatrist visits. ED visits and hospitalizations were also unchanged. CONCLUSIONS: After a mandated switch to HDHPs, members with bipolar disorder experienced an 11% decline in visits to nonpsychiatrist mental health providers but unchanged psychiatrist visits, ED visits, and hospitalizations. HDHPs do not appear to have a "blunt instrument" effect on health care use in bipolar disorder; rather, patients might make trade-offs to preserve important care.

Integrating public preferences into national reimbursement decisions: a descriptive comparison of approaches in Belgium and New Zealand.

BACKGROUND: Public health care payer organizations face increasing pressures to make transparent and sustainable coverage decisions about ever more expensive prescription drugs, suggesting a need for public engagement in coverage decisions. However, little is known about countries' approaches to integrating public preferences in existing funding decisions. The aim of this study was to describe how Belgium and New Zealand used deliberative processes to engage the public and to identify lessons learned from these countries' approaches. METHODS: To describe two countries' deliberative processes, we first reviewed key country policy documents and then conducted semi-structured interviews with five leaders of the processes from Belgium and New Zealand. We assessed each country's rationales for and approaches to engaging the public in pharmaceutical coverage decisions and identified lessons learned. We used qualitative content analysis of the interviews to describe key themes and subthemes. RESULTS: In both countries, the national public payer organization initiated and led the process of integrating public preferences into national coverage decision making. Reimbursement criteria considered outdated and changing societal expectations prompted the change. Both countries chose a deliberative process of public engagement with a multi-year commitment of many stakeholders to develop new reimbursement processes. Both countries' new reimbursement processes put a stronger emphasis on quality of life, the separation of individual versus societal perspectives, and the importance of final reimbursement decisions being taken in context rather than based largely on cost-effectiveness thresholds. CONCLUSIONS: To face the growing financial pressure of sustainable funding of medicines, Belgium's and New Zealand's public payers have developed processes to engage the public in defining the reimbursement system's priorities. Although these countries differ in context and geographic location, they came up with overlapping lessons learnt which include the need for 1) political commitment to initiate change, 2) broad involvement of all stakeholders, and 3) commitment of all to engage in a long-term process. To evaluate these changes, further research is required to understand how coverage decisions in systems with and without public engagement differ.