Skip to main content

Abstract

Objective:

Suicide rates among young people are rising. Health care visits provide opportunities for identification and intervention, yet studies have been limited by small or circumscribed samples. This study sought to expand the knowledge base by examining health care encounters and diagnoses among young people who later died by suicide.

Methods:

This case-control study examined diagnoses of mental and general medical disorders and health care utilization in the 30 and 365 days before suicide death in nine large U.S. health care systems. Data (years 2000–2015) from 445 suicide decedents ages 10–24 years were matched with data from 4,450 control group patients.

Results:

Suicide decedents were more likely to have at least one mental disorder diagnosis (51% vs. 16%; adjusted OR [AOR]=5.74, 95% CI=4.60–7.18) and had higher rates of nearly all mental health conditions. Substance use disorders were common (12%) and more likely (AOR=8.50, 95% CI=5.53–13.06) among suicide decedents. More than one in three (42%) suicide decedents had a health care visit in the month before death, and nearly all (88%) had a visit in the previous year.

Conclusions:

Despite the greater likelihood of suicide associated with mental disorder diagnoses, such disorders were present among only 51% of suicide decedents. High rates of health care utilization among suicide decedents indicate a need for improving identification of mental health conditions and suicide risk across the health care system. Increased substance use screening may help identify youths at high risk because substance use disorders were significantly more prevalent and likely among suicide decedents.

HIGHLIGHTS

Analyses of pooled 2000–2015 data from nine U.S. health systems found that only 51% of young people who died by suicide had a mental disorder diagnosis.
Nearly all diagnoses of mental and general medical conditions significantly differentiated young people who died by suicide from those who did not.
Alcohol and other substance use disorders were among the most prevalent diagnoses among suicide decedents.
Increased screening for high suicide risk and use of evidence-based prevention strategies across all areas of the health care system may help lower youth suicide rates.
Suicide among adolescents and young adults is a major public health concern, as rates continue to rise despite increased awareness. Among adolescents and young adults (hereafter referred to as young people), suicide is the second highest cause of death (1). Since 2007, a 56% increase has been noted in suicide deaths among young people ages 10–24 years (1). Concern over increasing suicide rates prompted the development of the National Strategy for Suicide Prevention (2), which focuses on suicide prevention as a core aspect of all health care services. Previous efforts to slow suicide rates have primarily focused on individuals with psychiatric diagnoses within behavioral health settings (3). The modifiable risk in this population, however, is low, given the relatively small volume of patients who have suicidal intent in these settings (2). Thus, general medical settings offer an opportunity to expand suicide prevention efforts and address this issue at scale, because most patients who are at increased suicide risk are seen in these settings prior to their death (4, 5).
Understanding health diagnoses and health care utilization among young people before suicide can help with identification and intervention efforts. To date, however, most studies of suicide risk have focused on adults, either exclusively (6, 7) or by combining adults and young people in analyses (4, 5, 8). The few studies that have examined health conditions and health care encounters among young suicide decedents have done so by using subpopulations or specific settings, including Medicaid enrollees (9), youths in the child welfare system (10), and young people in the emergency department (ED) (11, 12). This study sought to expand the knowledge base in this research area by examining these associations among young people ages 10–24 who died by suicide and a matched control group in nine large, geographically diverse health care systems. An investigation of diagnoses of mental and general medical disorders and health care utilization across an array of health care interactions provides an opportunity to identify more avenues to effectively implement suicide prevention measures catered to young people. We hypothesized that mental (including substance use) disorder diagnoses would be associated with increased risk for suicide. Given that nearly half of adults who die by suicide have a mental illness diagnosis, we expected that young people would show a similar prevalence rate. Finally, we anticipated that in the month and year before death, suicide decedents visited the health care system more often than did control group patients.

Methods

Study Sample

This case-control study was conducted within nine health care systems that are part of the Mental Health Research Network (MHRN), a consortium of 21 health systems providing care for >30 million patients across the United States. Participating health systems were Henry Ford Health, Kaiser Permanente Washington, Kaiser Permanente Northwest (Oregon and Washington), Kaiser Permanente Georgia, Kaiser Permanente Colorado, Kaiser Permanente Hawaii, HealthPartners (Minnesota), Essentia Health (Minnesota), and Harvard Pilgrim (Massachusetts). These health systems serve patients living in urban, suburban, and rural areas. Each provides comprehensive health care, including primary and specialty care, behavioral health care, and ED and urgent care. Participating health systems are also health plan membership owners, allowing data capture on nearly all health care utilization events within and outside the health system via the combination of electronic health records (EHRs) and insurance claims.
This study examined data from 445 young people ages 10–24 years who died by suicide between January 1, 2000, and September 30, 2015. Data from these youths were matched in a 1:10 ratio with data from 4,450 youths who did not die by suicide and who were chosen randomly on the basis of health system and membership period. Data were extracted from the year leading up to the date of death by suicide (index date or matched index date for control group patients). Participants were continuously enrolled in the health system insurance plan for at least 10 months of that year-long examination period.

Data Source

All MHRN sites maintain a Virtual Data Warehouse (VDW), which has EHR and health insurance claims data, allowing for the capture of nearly all internal and external health care utilization (∼99%) (13, 14). VDW data on demographic characteristics, encounters, pharmacy fills, diagnoses, procedures, enrollment, and costs are organized into uniform data sets by using standardized variables and definitions across sites. The VDW also contains mortality data, including date and cause of death, which are derived from official government mortality records.
Individuals in this study who died by suicide were identified with ICD-10 codes X60–X84 and Y87.0. Data on health system encounters in the year prior to the index date were extracted, including the number of days before the index date. Encounters (categorized as ED or urgent care, inpatient care, primary care, or specialty care) were categorized as being associated with a mental illness diagnosis, any substance use disorder diagnosis, or neither. Diagnoses were captured with ICD-9-CM codes. Mental and substance use disorder diagnoses (i.e., alcohol, tobacco, or any drug use disorder) included codes 290–319. General medical conditions were chosen on the basis of their association with suicide (9, 10, 15) and their prevalence among youths, both generally and in our sample, which included asthma (493), back pain (720.0–724.9), epilepsy (345), and sleep disorders (291.82, 307.4, 327, and 780.5). Demographic data included age, binary sex as recorded in the EHR (representing legal sex and sex assigned at birth), and insurance type. Neighborhood income and education were calculated by using geocoded addresses and census block data. High poverty was defined as living in a census block in which >20% of households were below the poverty line for income. Low education was defined as living in a census block in which <25% of the residents have a college degree. Race-ethnicity data were not available for several sites before 2008 and were therefore not included in the study. Given possible confounding, we eliminated any diagnosis or encounter that occurred on the index date. This study was approved by the institutional review boards at each study site.

Statistical Analyses

We used chi-square statistics to examine differences in demographic variables. We then used conditional logistic regression to examine whether various diagnoses of mental and general medical disorders were associated with increased odds of suicide death. These models were run both unadjusted for any confounding variables and adjusted for both age and sex assigned at birth. We examined each individual diagnosis, as well as the odds of suicide death among individuals with any diagnosis of a mental disorder (including substance use disorder). We calculated the proportion of individuals engaging in the subtypes of encounters (i.e., outpatient specialty, inpatient, ED or urgent care, and primary care) by mental disorder diagnosis (not including substance use), substance use disorder diagnosis, or neither in the 30 and 365 days before the index date. Conditional logistic regression was used to estimate the odds of suicide death among the encounter subtypes at the two time points. Finally, we examined the odds of suicide death given past-year health system encounter frequency for each of the identified visit subtypes. Analyses of encounters were adjusted for age and sex assigned at birth. SAS, version 9.4 (16), was used for all analyses.

Results

The overall study population consisted of 4,895 individuals (case group, N=445; control group, N=4,450); 53% (N=2,588) were males, and the mean±SD age was 16.9±4.1 years. As shown in Table 1, the proportion of males among suicide decedents was significantly greater than in the control group. Age was also significantly associated with suicide death, with a greater proportion of young adults (ages ≥18) among suicide decedents. Patients living in census blocks with low education levels were significantly less likely to be suicide decedents. Insurance type and living in a higher-poverty census block were not significantly associated with suicide death. Data on insurance type were missing for 202 patients, and data for the poverty and education variables were missing for 156 and 1,430 patients, respectively; the two groups did not significantly differ on missingness for these variables. Comparing suicide decedents with and those without a mental or substance use disorder diagnosis, we found that those without such a diagnosis were more likely to be male (53%, N=186 of 349) than female (33%, N=32 of 96), but that they did not differ in other demographic characteristics from those with a substance use disorder diagnosis.
TABLE 1. Demographic characteristics of suicide decedents ages 10–24 years (N=445) and a matched control group (N=4,450)a
 Suicide decedentsControl group 
CharacteristicN%N%p
Male349782,23950<.001
Age in years    <.001
 10–131841,19727 
 14–17117261,37631 
 18–201353093021 
 ≥211753994721 
Insurance    .146
 Commercial390883,90288 
 Public2352145 
 Other (self-pay)1531493 
 Unknown1741854 
Low educationb139321,60237.030
High povertyc24830310.233
a
Data were missing for insurance type (N=202), education level (N=1,430), and poverty level (N=156).
b
Residence in a census block in which <25% of residents have a college degree.
c
Residence in a census block in which >20% of households are below the poverty line for income.
Table 2 provides information on unadjusted conditional regression results examining the association of diagnoses of mental and general medical disorders with the odds of suicide death. Just over half (51%) of suicide decedents had at least one mental disorder diagnosis. Depression (33%), anxiety (20%), substance use disorder (12%), and attention-deficit hyperactivity disorder (ADHD) (11%) were among the most common. Nearly all diagnoses were associated with greater odds of suicide death. Diagnoses associated with the largest ORs included suicidal ideation, psychotic disorders, alcohol use disorder, and any substance use disorder. After adjustment for age and sex assigned at birth, nearly all odds remained the same, with back pain becoming nonsignificant in the adjusted model.
TABLE 2. Prevalence and odds of mental and substance use disorders and general medical conditions among suicide decedents and individuals in a matched control groupa
 Suicide decedents (N=445)Control group (N=4,450)    
CharacteristicN%N%OR95% CIAOR95% CI
Any mental disorder diagnosisb22751701165.634.58–6.925.744.60–7.18
 Alcohol use disorder461040113.648.62–21.578.525.21–13.93
 Anxiety902023454.743.60–6.235.223.86–7.06
 Attention-deficit hyperactivity disorder511120252.711.96–3.752.852.01–4.05
 Autism613012.03.84–4.951.65.64–4.26
 Bipolar disorder2252918.054.55–14.258.654.68–15.97
 Conduct disorder2155414.142.45–6.985.723.25–10.06
 Depression1473330076.815.39–8.617.585.84–9.83
 Eating disorder12313<19.234.21–20.2316.116.93–37.46
 Psychotic disorder24516<116.528.53–32.0014.286.89–29.59
 Substance use disorderc551252111.787.91–17.548.505.53–13.06
 Suicidal ideation1747<124.2910.07–58.5627.3310.21–73.79
 Tobacco use disorder541211535.573.92–7.934.152.85–6.05
General medical condition        
 Asthma31727161.16.78–1.701.43.95–2.15
 Back pain42928561.531.09–2.151.33.93–1.91
 Epilepsy722113.331.42–7.844.681.86–11.76
 Sleep disorder2869323.302.11–5.163.752.30–6.12
a
ORs and adjusted ORs (AORs) were estimated with conditional logistic regression analyses; AORs were adjusted for age and for sex assigned at birth.
b
Includes all mental and substance use disorder diagnoses listed.
c
Substance use disorder includes all drug use disorders other than alcohol and tobacco.
Table 3 shows the results of conditional logistic regressions that examined health care visit subtypes, adjusted for age and sex assigned at birth. Nearly half (42%) of youths in the group of suicide decedents made a health care visit in the month before suicide, and almost all (88%) made a visit within the previous year. Outpatient specialty and primary care visits were the most common and second most common visit type, respectively, in both groups. Visits associated with a mental disorder diagnosis were also common among suicide decedents, with 23% having such a visit in the month before suicide and almost half (48%) in the previous year. Significant group differences were observed for every visit subtype, with suicide decedents being more likely to have a specific encounter than were control group patients. The greatest discrepancies between groups for specific settings were for inpatient stays and ED or urgent care visits, with adjusted ORs ranging from 3.54 to 94.57.
TABLE 3. Frequency and odds of a health care visit 30 and 365 days before the index date among suicide decedents and individuals in a matched control groupa
 30 days before index date365 days before index date
 Suicide decedents (N=445)Control group (N=4,450)  Suicide decedents (N=445)Control group (N=4,450)  
Visit typeN%N%AOR95% CIN%N%AOR95% CI
Any visit188421,125252.652.13–3.29391883,755841.901.40–2.59
 Outpatient specialty14933977222.161.72–2.71377853,643821.711.29–2.27
 Inpatient481118<135.1718.84–65.669722125312.058.53–17.03
 Emergency department or urgent care3485816.864.21–11.1814232566133.542.79–4.51
 Primary care8419602141.781.35–2.34310703,084691.361.08–1.71
Visit with a mental disorder diagnosisb            
 Any visit1022317348.776.46–11.9121348671156.134.87–7.71
 Outpatient specialty821815847.595.48–10.5319444633145.594.44–7.04
 Inpatient2974<194.5731.67–282.44711639129.0817.81–47.49
 Emergency department or urgent care1643<160.2116.34–221.92591347116.1810.20–25.66
 Primary care3585218.535.24–13.881092435884.293.29–5.60
Visit with a substance use disorder diagnosis            
 Any visit35826110.506.05–18.25972214236.244.55–8.55
 Outpatient specialty1642116.293.16–12.53651511734.553.20–6.46
 Inpatient1432<147.159.90–224.6040918<117.709.46–33.14
 Emergency department or urgent care725<19.402.76–32.033684415.813.54–9.53
 Primary care619<15.561.84–16.772976923.422.11–5.55
a
Adjusted ORs (AORs) were estimated with conditional logistic regression analyses adjusted for age and for sex assigned at birth. Index date was the date of death by suicide or a matched index date for control group patients.
b
Does not include visits with substance use disorder diagnoses.
All health care visit subtypes were significantly more frequent among suicide decedents (Table 4). Young people who died by suicide made on average 11.4 total health care visits in the previous year, compared with 6.5 among the young people in the control group. Outpatient specialty visits were most common among both groups (suicide decedents, 8.1; control group, 4.7). Primary care visits were the second most common visit type: suicide decedents, 3.0; control group, 2.5. The mean number of visits with a mental disorder diagnosis was 4.0 and 0.9 among suicide decedents and control group patients, respectively.
TABLE 4. Frequencies and adjusted odds of care visits in the year before the index date among suicide decedents and individuals in a matched control groupa
 Suicide decedents (N=445)Control group (N=4,450)  
Visit typeN of visits (M)SDMedianN of visits (M)SDMedianAOR95% CI
Any visit11.415.976.59.941.041.03–1.04
 Outpatient specialty8.112.744.77.431.041.03–1.05
 Inpatient.41.10<.1.303.462.74–4.37
 Emergency department or urgent care.61.20.2.701.601.43–1.79
 Primary care3.04.122.53.711.061.03–1.08
Visit with a mental disorder diagnosisb        
 Any visit4.08.40.94.001.101.08–1.12
 Outpatient specialty3.27.30.83.701.101.08–1.12
 Inpatient.3.80<.1.208.145.54–11.96
 Emergency department or urgent care.2.70<.1.106.434.46–9.26
 Primary care.61.50.2.601.671.51–1.85
Visit with a substance use disorder diagnosis        
 Any visit1.58.60.11.801.101.06–1.14
 Outpatient specialty1.17.70<.11.601.081.04–1.12
 Inpatient.1.500.108.134.66–14.18
 Emergency department or urgent care.1.60<.1.103.182.18–4.63
 Primary care.1.50<.1.301.291.08–1.55
a
Adjusted ORs (AORs) were estimated with conditional logistic regression analyses adjusted for age and for sex assigned at birth. Index date was the date of death by suicide or a matched index date for control group patients.
b
Does not include visits with substance use disorder diagnoses.

Discussion

In this large, geographically diverse sample of young people seeking care in nine large U.S. health systems, mental and general medical disorders were common among suicide decedents. Depression, anxiety, ADHD, and substance use disorders were the most common among those with a behavioral health diagnosis, highlighting targets for suicide prevention. Of note, nearly half (49%) of suicide decedents lacked a recorded psychiatric diagnosis in the year prior to death, a finding consistent with recent national reports for U.S. adults (17, 18). Health care visits were also common among suicide decedents; more than one in three (42%) of young people who died by suicide had a health care visit in the month before their death and nearly all (88%) in the previous year, highlighting missed opportunities for providers to intervene in order to reduce suicide risk.
Our results indicated that nearly all mental disorders distinguished young people who died by suicide from those who did not, an observation largely consistent with case-control (912) and other studies of psychiatric risk factors for suicide-related behavior among youths (1921). Alcohol and other substance use disorders were the most prevalent disorders among the suicide decedents, and the case-control comparisons produced some of the highest ORs for these conditions. Previous studies have reported similar results (9, 10), indicating that increased substance use screening may have a substantial positive effect on suicide prevention. A notable exception among mental disorders in this study was autism, with no significant difference in this diagnosis between the two groups. However, youths with conditions meeting ICD-9 diagnostic criteria for autism have a wide range of cognitive and adaptive abilities, ranging from individuals who are unable to verbally communicate to those who are extremely gifted and live independently. The inability to control for this variation may explain the lack of group differences.
Epilepsy and sleep disorders were also significantly associated with increased risk for suicide death. Previous research has noted relationships between suicide-related behavior and chronic general medical disorders (9, 10), with mixed findings for asthma (9, 10, 22). Epilepsy, however, has a long-standing association with suicide-related behaviors (23, 24), including among young people (9, 10, 22). Previous investigations have also noted that sleep disturbances and insomnia have resulted in increased suicidal ideation (25), suicide attempts (26), and deaths (15) among young people. Although more evidence exists linking sleep problems to both suicidal ideation and suicide attempts, the literature on suicide deaths among those with sleep disorders is limited to psychological autopsy (15). Our study advances the field by reporting on documented sleep disorders among young suicide decedents.
The health care utilization findings indicated that young people who died by suicide were more likely than their counterparts in the control group to make health care visits in the year before the index date. Our results are similar to those from a recent study of young Medicaid enrollees in which 45% had a health care encounter in the month before death (9) (42% had an encounter in this study). Our findings are also similar to those in the previous study (9) in that outpatient visits were the most utilized by suicide decedents while also being associated with the smallest relative odds of suicide. As noted elsewhere (5), such findings underscore the challenge in providing suicide prevention across all areas of care that include high-volume, lower-odds settings (i.e., outpatient settings) and lower-volume, high-risk settings (i.e., inpatient or ED).
After inpatient stays, use of ED or urgent care was associated with the greatest relative risk for suicide death, particularly when the patient had a mental or substance use disorder diagnosis. ED visits have been found to be common in the year before death by suicide among young people (27); of note, studies indicate that suicide risk screening is feasible in the ED setting (28), and patients newly identified as being at high risk could be linked to further services. For a substantial proportion of youths, the ED is the only point of health care contact (29), making it an essential setting to enact prevention efforts. In the year before dying by suicide, young people had roughly four specialty care visits that were not associated with a mental or substance use disorder diagnosis. Specialty outpatient visits were the most common of all visits, with youths in the group of suicide decedents averaging more than eight visits in the previous year. Brief screeners are feasible to implement in this setting (30, 31) and may have substantial impact, given the high frequency of such visits by suicide decedents.
The Joint Commission’s recent patient safety goals (32) recommend suicide risk screening in all health care settings. Patients, however, require follow-up connection to evidence-based services to bend the curve on increasing suicide rates. The Zero Suicide initiative provides a range of evidence-based approaches that are specific to addressing suicide and can be implemented in a variety of settings (33). Integrated systems can leverage the continuum of Zero Suicide elements, with screening, transition across care settings, and treatment approaches, such as dialectical behavior therapy and collaborative assessment and management of suicidality (34). Specialty care, primary care, and EDs—settings that may have less capacity for comprehensive service packages—can utilize Zero Suicide strategies that are effective and less resource intensive, such as safety planning (35), caring contacts (36), and reduction of lethal means (37).
Given the strong association of mental disorders with suicide death, it is important to recognize the lack of such diagnoses among half of the suicide decedents. Although suicide can be the result of acute stressors that are not precipitated by a psychiatric diagnosis, many of these young people may have had unrecognized conditions that increased suicide risk. Among suicide decedents, those without a documented mental health condition were more likely to be male, mirroring population-level data (38); however, suicide decedents without a mental health condition were similar to those with a mental health condition on other demographic factors. The rise in persistent feelings of sadness and hopelessness among young people (39) necessitates identification of mental health difficulties in all care pathways, such that youths can receive appropriate services before they make a suicide attempt. Many of the mental health conditions linked to increased suicide risk have associated screening instruments that are brief (40, 41) and may be easily implemented across settings.
Although these findings move the field forward by providing information on health care visits and diagnoses in a large and geographically diverse sample of young people, we note some limitations. The EHR data available for this study did not include information on race and ethnicity. Given the recent escalation of suicidal ideation, suicide attempt, and death among African American youths and youths from other racial and ethnic minority groups (42, 43), examination of subgroup patterns is essential. We did not have information about this sample on gender identity or sexual orientation, which are factors associated with suicide risk (44). Indeed, more recent work by our group has highlighted the association between suicide attempts and transgender and gender-diverse individuals (45). We did not have adequate representation of young people who were uninsured or on Medicaid, compared with their prevalence in national samples; these individuals may have different patterns of health diagnoses and care utilization, compared with those in this study. Although our sample was diverse in many ways, our results may not generalize to other states or to populations with other insurance types. The age range included in our study was broad and may represent different biological, social, or medical risk factors for suicide; however, this range is of practical importance given the eligible age range for several national youth suicide prevention efforts. Funding for this study ended before recent increases in suicide-related behaviors among youths (39, 46), which are of critical concern. Finally, we did not have information on previous suicide attempts or trauma, known risk factors for future suicide-related behavior.

Conclusions

The findings of this study suggest that young people frequently utilize health care services in the year before death by suicide. Diagnoses of general medical and mental disorders were strongly associated with suicide death and warrant frequent screening, especially given the unknown proportion of youths who may have undiagnosed conditions that increase suicide risk. Previsit mental health screening in ambulatory settings may be feasible and may detect the largest sample of youths with unrecognized disorders. Reliable and brief suicide risk screeners also make it possible in myriad settings to identify those without a mental health condition (31, 47). Data indicate that technology-based approaches (48) and improved clinical pathways (49) may limit the impact of such screening and intervention on clinical workflow and may promote widespread suicide prevention. This comprehensive approach casts the widest net to triage youths into appropriate mental health or suicide-specific intervention services.

References

1.
Curtin SC, Heron MP: Death Rates Due to Suicide and Homicide Among Persons Aged 10–24: United States, 2000–2017. NCHS Data Brief 352. Hyattsville, MD, National Center for Health Statistics, 2019
2.
2012 National Strategy for Suicide Prevention: Goals and Objectives for Action. Washington, DC, US Department of Health and Human Services, Office of the Surgeon General, and National Action Alliance for Suicide Prevention, 2012
3.
McDowell AK, Lineberry TW, Bostwick JM: Practical suicide-risk management for the busy primary care physician. Mayo Clin Proc 2011; 86:792–800
4.
Ahmedani BK, Simon GE, Stewart C, et al: Health care contacts in the year before suicide death. J Gen Intern Med 2014; 29:870–877
5.
Ahmedani BK, Westphal J, Autio K, et al: Variation in patterns of health care before suicide: a population case-control study. Prev Med 2019; 127:105796
6.
Ilgen MA, Conner KR, Roeder KM, et al: Patterns of treatment utilization before suicide among male veterans with substance use disorders. Am J Public Health 2012; 102(suppl 1):S88–S92
7.
Fontanella CA, Warner LA, Hiance-Steelesmith DL, et al: Service use in the month and year prior to suicide among adults enrolled in Ohio Medicaid. Psychiatr Serv 2017; 68:674–680
8.
Schou Pedersen H, Fenger-Grøn M, Bech BH, et al: Frequency of health care utilization in the year prior to completed suicide: a Danish nationwide matched comparative study. PLoS One 2019; 14:e0214605
9.
Fontanella CA, Warner LA, Steelesmith D, et al: Clinical profiles and health services patterns of Medicaid-enrolled youths who died by suicide. JAMA Pediatr 2020; 174:470–477
10.
Ruch DA, Steelesmith DL, Warner LA, et al: Health services use by children in the welfare system who died by suicide. Pediatrics 2021; 147:e2020011585
11.
Rhodes AE, Sinyor M, Boyle MH, et al: Emergency department presentations and youth suicide: a case-control study. Can J Psychiatry 2019; 64:88–97
12.
Goldman-Mellor S, Kwan K, Boyajian J, et al: Predictors of self-harm emergency department visits in adolescents: a statewide longitudinal study. Gen Hosp Psychiatry 2019; 56:28–35
13.
Hornbrook MC, Hart G, Ellis JL, et al: Building a virtual cancer research organization. J Natl Cancer Inst Monogr 2005; 35:12–25
14.
Go AS, Magid DJ, Wells B, et al: The Cardiovascular Research Network: a new paradigm for cardiovascular quality and outcomes research. Circ Cardiovasc Qual Outcomes 2008; 1:138–147
15.
Goldstein TR, Bridge JA, Brent DA: Sleep disturbance preceding completed suicide in adolescents. J Consult Clin Psychol 2008; 76:84–91
16.
SAS, Version 9.4. Cary, NC, SAS Institute, 2013
17.
Fowler KA, Kaplan MS, Stone DM, et al: Suicide among males across the lifespan: an analysis of differences by known mental health status. Am J Prev Med 2022; 63:419–422
18.
Stone DM, Simon TR, Fowler KA, et al: Vital signs: trends in state suicide rates—United States, 1999–2016 and circumstances contributing to suicide—27 states, 2015. MMWR Morb Mortal Wkly Rep 2018; 67:617–624
19.
Nock MK, Green JG, Hwang I, et al: Prevalence, correlates, and treatment of lifetime suicidal behavior among adolescents: results from the National Comorbidity Survey Replication Adolescent Supplement. JAMA Psychiatry 2013; 70:300–310
20.
Kelleher I, Corcoran P, Keeley H, et al: Psychotic symptoms and population risk for suicide attempt: a prospective cohort study. JAMA Psychiatry 2013; 70:940–948
21.
Schilling EA, Aseltine RH, Jr, Glanovsky JL, et al: Adolescent alcohol use, suicidal ideation, and suicide attempts. J Adolesc Health 2009; 44:335–341
22.
Christiansen E, Stenager E: Risk for attempted suicide in children and youths after contact with somatic hospitals: a Danish register based nested case-control study. J Epidemiol Community Health 2012; 66:247–253
23.
Christensen J, Vestergaard M, Mortensen PB, et al: Epilepsy and risk of suicide: a population-based case-control study. Lancet Neurol 2007; 6:693–698
24.
Abraham N, Buvanaswari P, Rathakrishnan R, et al: A meta-analysis of the rates of suicide ideation, attempts and deaths in people with epilepsy. Int J Environ Res Public Health 2019; 16:1451
25.
McKnight-Eily LR, Eaton DK, Lowry R, et al: Relationships between hours of sleep and health-risk behaviors in US adolescent students. Prev Med 2011; 53:271–273
26.
Wong MM, Brower KJ: The prospective relationship between sleep problems and suicidal behavior in the National Longitudinal Study of Adolescent Health. J Psychiatr Res 2012; 46:953–959
27.
Rhodes AE, Khan S, Boyle MH, et al: Sex differences in suicides among children and youth: the potential impact of help-seeking behaviour. Can J Psychiatry 2013; 58:274–282
28.
Ballard ED, Cwik M, Van Eck K, et al: Identification of at-risk youth by suicide screening in a pediatric emergency department. Prev Sci 2017; 18:174–182
29.
Wilson KM, Klein JD: Adolescents who use the emergency department as their usual source of care. Arch Pediatr Adolesc Med 2000; 154:361–365
30.
Lois BH, Urban TH, Wong C, et al: Integrating suicide risk screening into pediatric ambulatory subspecialty care. Pediatr Qual Saf 2020; 5:e310
31.
Aguinaldo LD, Sullivant S, Lanzillo EC, et al: Validation of the Ask Suicide-Screening Questions (ASQ) with youth in outpatient specialty and primary care clinics. Gen Hosp Psychiatry 2021; 68:52–58
32.
National Patient Safety Goal for Suicide Prevention. Oakbrook Terrace, IL, Joint Commission, 2018. https://www.jointcommission.org/-/media/tjc/documents/standards/r3-reports/r3_18_suicide_prevention_hap_bhc_cah_11_4_19_final1.pdf
33.
Zero Suicide Toolkit. Waltham, MA, Zero Suicide Institute of the Education Development Center, 2021. https://zerosuicide.edc.org/toolkit. Accessed Oct 13, 2022
34.
Brown GK, Jager-Hyman S: Evidence-based psychotherapies for suicide prevention: future directions. Am J Prev Med 2014; 47(suppl 2):S186–S194
35.
Stanley B, Brown GK: Safety Planning Intervention: a brief intervention to mitigate suicide risk. Cogn Behav Pract 2012; 19:256–264
36.
Miller IW, Camargo CA, Arias SA, et al: Suicide prevention in an emergency department population: the ED-SAFE study. JAMA Psychiatry 2017; 74:563–570
37.
Johnson RM, Frank EM, Ciocca M, et al: Training mental healthcare providers to reduce at-risk patients’ access to lethal means of suicide: evaluation of the CALM Project. Arch Suicide Res 2011; 15:259–264
38.
Campbell OLK, Bann D, Patalay P: The gender gap in adolescent mental health: a cross-national investigation of 566,829 adolescents across 73 countries. SSM Popul Health 2021; 13:100742
39.
Youth Risk Behavior Survey: Data Summary and Trends Report 2009–2019. Atlanta, Centers for Disease Control and Prevention, 2019. https://www.cdc.gov/healthyyouth/data/yrbs/pdf/YRBSDataSummaryTrendsReport2019-508.pdf
40.
Staples LG, Dear BF, Gandy M, et al: Psychometric properties and clinical utility of brief measures of depression, anxiety, and general distress: the PHQ-2, GAD-2, and K-6. Gen Hosp Psychiatry 2019; 56:13–18
41.
Levy S, Weiss R, Sherritt L, et al: An electronic screen for triaging adolescent substance use by risk levels. JAMA Pediatr 2014; 168:822–828
42.
Ramchand R, Gordon JA, Pearson JL: Trends in suicide rates by race and ethnicity in the United States. JAMA Netw Open 2021; 4:e2111563
43.
Ring the Alarm: The Crisis of Black Youth Suicide in America. Washington, DC, Congressional Black Caucus, Emergency Taskforce on Black Youth Suicide and Mental Health, 2019. https://theactionalliance.org/sites/default/files/ring_the_alarm-_the_crisis_of_black_youth_suicide_in_america_copy.pdf
44.
Kann L, Olsen EOM, McManus T, et al: Sexual identity, sex of sexual contacts, and health-related behaviors among students in grades 9–12—United States and selected sites, 2015. MMWR Surveill Summ 2016; 65:1–202
45.
Mak J, Shires DA, Zhang Q, et al: Suicide attempts among a cohort of transgender and gender diverse people. Am J Prev Med 2020; 59:570–577
46.
Jones SE, Ethier KA, Hertz M, et al: Mental health, suicidality, and connectedness among high school students during the COVID-19 pandemic—Adolescent Behaviors and Experiences Survey, United States, January–June 2021. MMWR Suppl 2022; 71:16–21
47.
Horowitz LM, Bridge JA, Teach SJ, et al: Ask Suicide-Screening Questions (ASQ): a brief instrument for the pediatric emergency department. Arch Pediatr Adolesc Med 2012; 166:1170–1176
48.
Etter DJ, McCord A, Ouyang F, et al: Suicide screening in primary care: use of an electronic screener to assess suicidality and improve provider follow-up for adolescents. J Adolesc Health 2018; 62:191–197
49.
Brahmbhatt K, Kurtz BP, Afzal KI, et al: Suicide risk screening in pediatric hospitals: clinical pathways to address a global health crisis. Psychosomatics 2019; 60:1–9

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services
Psychiatric Services
Pages: 566 - 573
PubMed: 36349497

History

Received: 14 March 2022
Revision received: 5 July 2022
Revision received: 10 August 2022
Accepted: 12 September 2022
Published online: 9 November 2022
Published in print: June 01, 2023

Keywords

  1. Adolescents
  2. Mental illness
  3. Alcohol and drug abuse
  4. Electronic health record
  5. Suicide
  6. Self-harm

Authors

Details

Jordan M. Braciszewski, Ph.D. [email protected]
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Ana Lanier, B.A.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Hsueh-Han Yeh, Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Kelsey Sala-Hamrick, Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Gregory E. Simon, M.D., M.P.H.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Rebecca C. Rossom, M.D., M.S.C.R.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Frances L. Lynch, Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Stephen C. Waring, D.V.M., Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Christine Y. Lu, Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Ashli A. Owen-Smith, Ph.D., S.M.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Arne Beck, Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Yihe G. Daida, Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Melissa Maye, Ph.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Cathrine Frank, M.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Melissa Hendriks, M.D.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Nina Fabian, D.O.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).
Brian K. Ahmedani, Ph.D., L.M.S.W.
Center for Health Policy and Health Services Research (Braciszewski, Yeh, Maye, Ahmedani) and Department of Psychiatry (Braciszewski, Frank, Hendriks, Fabian, Ahmedani), Henry Ford Health, Detroit; School of Medicine, Wayne State University, Detroit (Lanier); Michigan Public Health Institute, Okemos (Sala-Hamrick); Health Research Institute, Kaiser Permanente Washington, Seattle (Simon); HealthPartners Institute, Bloomington, Minnesota (Rossom); Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon (Lynch); Essentia Institute of Rural Health, Essentia Health, Duluth, Minnesota (Waring); Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Lu); Center for Research and Evaluation, Kaiser Permanente Georgia, and School of Public Health, Georgia State University, Atlanta (Owen-Smith); Institute for Health Research, Kaiser Permanente Colorado, Aurora (Beck); Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu (Daida).

Notes

Send correspondence to Dr. Braciszewski ([email protected]).
Data from this study were presented at the annual (virtual) meeting of the Health Care Systems Research Network, May 11–12, 2021.

Competing Interests

Dr. Lynch reports receipt of grant funding from Janssen Scientific Affairs. The other authors report no financial relationships with commercial interests.

Funding Information

This study was supported by NIMH (awards R01 MH-103539 and U19 MH-121738).

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

There are no citations for this item

View Options

View options

PDF/ePub

View PDF/ePub

Get Access

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - Psychiatric Services

PPV Articles - Psychiatric Services

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share