Mental Health Research Network Research Articles

The care-less academy? Making space for parents and carers in higher education

Within Higher Education (HE) research there is increasing interest in the links between student identity, experience, and wellbeing, particularly in relation to minority student groups. One such group is Students with Caring Responsibilities (SCRs), consisting of both students who are carers and/or parents (including those students who undertake the role of carer and parent), who it has been suggested have been actively constructed as 'other' in academia (Moreau, 2016) such that their experiences and needs are not well understood. Indeed, HE has been described as a 'care-less' environment, characterised by competitive individualism within which students are assumed to be unencumbered by the responsibilities of care (Lynch, 2010; Moreau, 2016). This article details findings from a rapid evidence review and online survey of a UK research project titled Who Cares? funded by SMaRteN (the Student Mental Health Research Network). The project explored the challenges faced by SCRs with a focus on their wellbeing and was shaped by principles of co-design and collaboration and, resisting a deficit model approach, also highlights the strengths which SCRs bring to their studies and their institution. For universities to become truly inclusive, these strengths should be recognised, and ways found to empower SCRs to reshape the university into a 'care-full', not 'care-less', institution.

Factors associated with suicide mortality among reproductive age women: a case–control study

ABSTRACT Objective Examine demographic, psychosocial, pregnancy-related, and healthcare utilisation factors associated with suicide mortality among reproductive age women. Methods Data from nine health care systems in the Mental Health Research Network were included. A case–control study design was used in which 290 reproductive age women who died by suicide (cases) from 2000 to 2015 were matched with 2,900 reproductive age women from the same healthcare system who did not die by suicide (controls). Conditional logistic regression was used to analyse associations between patient characteristics and suicide. Results Women of reproductive age who died by suicide were more likely to have mental health (aOR = 7.08, 95% CI: 5.17, 9.71) or substance use disorders (aOR = 3.16, 95% CI: 2.19, 4.56) and to have visited the emergency department in the year prior to index date (aOR = 3.47, 95% CI: 2.50, 4.80). Non-Hispanic White women (aOR = 0.70, 95% CI: 0.51, 0.97) and perinatal (pregnant or postpartum) women were less likely to have died by suicide (aOR = 0.27, 95% CI: 0.13, 0.58). Conclusions Reproductive age women with mental health and/or substance use disorders, prior emergency department encounters, or who are of racial or ethnic minority status were at increased risk of suicide mortality and may benefit from routine screening and monitoring. Future research should further examine the relationship between pregnancy-related factors and suicide mortality.

Diagnosed Posttraumatic Stress Disorder and Other Trauma-Associated Stress Disorders and Risk for Suicide Mortality.

Strong evidence exists for posttraumatic stress disorder (PTSD) as a risk factor for suicidal thoughts and behaviors across diverse populations. However, few empirical studies have examined PTSD and other trauma-associated stress disorders as risk factors for suicide mortality among health system populations. This study aimed to assess trauma-associated stress diagnoses as risk factors for suicide mortality in a U.S. health system population. This case-control, matched-design study examined individuals who died by suicide between 2000 and 2015 and had received care from nine U.S. health systems affiliated with the Mental Health Research Network (N=3,330). Individuals who died by suicide were matched with individuals from the general health system population (N=333,000): 120 individuals with PTSD who died by suicide were matched with 1,592 control group members, 84 with acute reaction to stress were matched with 2,218 control individuals, and 331 with other stress reactions were matched with 8,174 control individuals. After analyses were adjusted for age and sex, individuals with any trauma-associated stress condition were more likely to have died by suicide. Risk was highest among individuals with PTSD (adjusted OR [AOR]=10.10, 95% CI=8.31-12.27), followed by those with other stress reactions (AOR=5.38, 95% CI=4.78-6.06) and those with acute reaction to stress (AOR=4.49, 95% CI=3.58-5.62). Patterns of risk remained the same when the analyses were adjusted for any comorbid psychiatric condition. All trauma-associated stress disorders are risk factors for suicide mortality, highlighting the importance of health system suicide prevention protocols that consider the full spectrum of traumatic stress diagnoses.

Cancer and psychiatric diagnoses in the year preceding suicide

Patients with cancer are known to be at increased risk for suicide but little is known about the interaction between cancer and psychiatric diagnoses, another well-documented risk factor. Electronic medical records from nine healthcare systems participating in the Mental Health Research Network were aggregated to form a retrospective case-control study, with ICD-9 codes used to identify diagnoses in the 1 year prior to death by suicide for cases (N= 3330) or matching index date for controls (N= 297,034). Conditional logistic regression was used to assess differences in cancer and psychiatric diagnoses between cases and controls, controlling for sex and age. Among patients without concurrent psychiatric diagnoses, cancer at disease sites with lower average 5-year survival rates were associated with significantly greater relative risk, while cancer disease sites with survival rates of >70% conferred no increased risk. Patients with most psychiatric diagnoses were at higher risk, however, there was no additional risk conferred to these patients by a concurrent cancer diagnosis. We found no evidence of a synergistic effect between cancer and psychiatric diagnoses. However, cancer patients with a concurrent psychiatric illness remain at the highest relative risk for suicide, regardless of cancer disease site, due to strong independent associations between psychiatric diagnoses and suicide. For patients without a concurrent psychiatric illness, cancer disease sites associated with worse prognoses appeared to confer greater suicide risk.

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.

Validating a predictive algorithm for suicide risk with Alaska Native populations.

The American Indian/Alaska Native (AI/AN) suicide rate in Alaska is twice the state rate and four times the U.S. rate. Healthcare systems need innovative methods of suicide risk detection. The Mental Health Research Network (MHRN) developed suicide risk prediction algorithms in a general U.S. We applied MHRN predictors and regression coefficients to electronic health records of AI/AN patients aged ≥13years with behavioral health diagnoses and primary care visits between October 1, 2016, and March 30, 2018. Logistic regression assessed model accuracy for predicting and stratifying risk for suicide attempt within 90days after a visit. We compared expected to observed risk and assessed model performance characteristics. 10,864 patients made 47,413 primary care visits. Suicide attempt occurred after 589 (1.2%) visits. Visits in the top 5% of predicted risk accounted for 40% of actual attempts. Among visits in the top 0.5% of predicted risk, 25.1% were followed by suicide attempt. The best fitting model had an AUC of 0.826 (95% CI: 0.809-0.843). The MHRN model accurately predicted suicide attempts among AI/AN patients. Future work should develop clinical and operational guidance for effective implementation of the model with this population.

Understanding TBI as a Risk Factor Versus a Means of Suicide Death Using Electronic Health Record Data

Objective The aim of this research was to examine predictors and characterize causes of suicide death in people with traumatic brain injury (TBI) and conduct sensitivity analyses with and without people whose first diagnosis of TBI occurred within 3 days of their suicide death. Methods This case-control study examined suicide risk for people with TBI in eight Mental Health Research Network–affiliated healthcare systems. Sample 1 included 61 persons with TBI who died by suicide and their 75 matched controls with TBI who did not die by suicide between January 1, 2000, and December 31, 2013. Sample 2 excluded the 34 persons with TBI whose first TBI diagnosis occurred within 3 days of their suicide death and their 46 matched controls. Descriptive statistics characterized the sample stratified by cases and controls, while conditional logistic regression models estimated the adjusted odds of suicide. Results Over half of suicide deaths occurred within 3 days of a person’s first diagnosis of TBI in the larger sample. After excluding these persons, people with TBI were 2.84 (95% confidence interval [CI]: 2.15–2.73) times more likely to die by suicide than were people without TBI. Among those with TBI, men were 16.39 times (95% CI: 1.89–142.15) more likely to die by suicide than were women. Conclusions Accounting for TBI as a potential consequence of suicide attenuates the association between TBI and suicide, but a robust association persists—especially among men. Ultimately, all people with TBI should be carefully screened and monitored for suicide risk. HIGHLIGHTS People with traumatic brain injury (TBI) were at considerably elevated risk for suicide death Men with TBI had significantly increased risk of suicide death compared to women with TBI TBI timing suggests confusion of risk factors for and consequences of suicide

Health Service Utilization Among Children and Adolescents with Posttraumatic Stress Disorder: A Case-Control Study.

Trauma exposure is widely prevalent, with more than 60% of adolescents having experienced at least 1 traumatic event and a third of those at high risk to develop posttraumatic stress disorder (PTSD). Data are scarce and out of date on the services children and adolescents with PTSD receive, impeding efforts to improve care and outcomes. This study examines health service use for a large and diverse sample of children and adolescents with and without a diagnosis of PTSD. Using a matched case-control study, we gathered information from 4 large health care systems participating in the Mental Health Research Network. Data from each site's electronic medical records on diagnoses, health care encounters, and demographics were analyzed. Nine hundred fifty-five 4- to 18-year-olds with a diagnosis of PTSD were identified and matched on a 1:5 ratio to 4770 controls. We compared cases with controls on frequency of service use in outpatient primary care, medical specialty care, acute care, and mental health care. We also assessed psychotropic medication use. Children and adolescents diagnosed with PTSD used nearly all physical and mental health service categories at a higher rate than controls. However, one-third of children and adolescents did not receive even 1 outpatient mental health visit (36.86%) during the year-long sampling window. Our findings suggest that children and adolescents diagnosed with PTSD may have unmet mental health needs. They are high utilizers of health services overall, but lower utilizers of the sectors that may be most helpful in resolving their symptoms.

Connecting Research and Practice: Implementation of Suicide Prevention Strategies in Learning Health Care Systems.

The health care systems affiliated with the Mental Health Research Network strive to be learning health care systems that identify and address evidence gaps of importance to clinicians, patients, and funders. This column describes how research guides clinical care and clinical care guides research in the area of suicide prevention as well as some of the challenges of conducting embedded research.

Weighing the Association Between BMI Change and Suicide Mortality.

Suicide rates continue to rise, necessitating the identification of risk factors. Obesity and suicide mortality rates have been examined, but associations among weight change, death by suicide, and depression among adults in the United States remain unclear. Data from 387 people who died by suicide in 2000-2015 with a recorded body mass index (BMI) in the first and second 6 months preceding their death ("index date") were extracted from the Mental Health Research Network. Each person was matched with five people in a control group (comprising individuals who did not die by suicide) by age, sex, index year, and health care site (N=1,935). People who died by suicide were predominantly male (71%), White (69%), and middle aged (mean age=57 years) and had a depression diagnosis (55%) and chronic health issues (57%) (corresponding results for the control group: 71% male, 66% White, 14% with depression diagnosis, and 43% with chronic health issues; mean age=56 years). Change in BMI within the year before the index date statistically significantly differed between those who died by suicide (mean change=-0.72±2.42 kg/m2) and the control group (mean change=0.06±4.99 kg/m2) (p<0.001, Cohen's d=0.17). A one-unit BMI decrease was associated with increased risk for suicide after adjustment for demographic characteristics, mental disorders, and Charlson comorbidity score (adjusted odds ratio=1.11, 95% confidence interval=1.05-1.18, p<0.001). For those without depression, a BMI change was significantly associated with suicide (p<0.001). An increased suicide mortality rate was associated with weight loss in the year before a suicide after analyses accounted for general and mental health indicators.

Estimates of Workload Associated With Suicide Risk Alerts After Implementation of Risk-Prediction Model

This cohort study attempts to validate the Mental Health Research Network suicide risk–prediction model and estimate associated workloads.

Same proof, different pudding: comparative views of New Zealand child psychiatrists, child psychologists and child psychotherapists regarding a proposed national child and adolescent research network.

This study was undertaken to evaluate the views of New Zealand clinicians regarding a proposed national child and adolescent mental health research network. Child psychiatrists, child psychologists and child psychotherapists were invited to participate in an electronic survey describing their previous experience of research, current interest in research, barriers to undertaking research and interest in a national research network. Responses were received from child psychiatrists (N = 33), child psychologists (N = 58) and child psychotherapists (N = 8), many of whom were clinicians and few of whom were researchers. Although most clinicians were interested in participating in future research, areas of interest differed between clinical groups. Clinician barriers to research included lack of time, lack of confidence and lack of research skills. Researcher barriers included lack of funding, time and administrative support. All groups were supportive of the development of a national research network. Despite some different areas of interest, there appears to be sufficient combined support from New Zealand child psychiatrists, child psychologists and child psychotherapists to pursue the establishment of a national child and adolescent mental health research network.

Substance use disorders and risk of suicide in a general US population: a case control study

BackgroundPrior research suggests that substance use disorders (SUDs) are associated with risk of suicide mortality, but most previous work has been conducted among Veterans Health Administration patients. Few studies have examined the relationship between SUDs and suicide mortality in general populations. Our study estimates the association of SUDs with suicide mortality in a general US population of men and women who receive care across eight integrated health systems.MethodsWe conducted a case–control study using electronic health records and claims data from eight integrated health systems of the Mental Health Research Network. Participants were 2674 men and women who died by suicide between 2000–2013 and 267,400 matched controls. The main outcome was suicide mortality, assessed using data from the health systems and confirmed by state death data systems. Demographic and diagnostic data on substance use disorders and other health conditions were obtained from each health system. First, we compared descriptive statistics for cases and controls, including age, gender, income, and education. Next, we compared the rate of each substance use disorder category for cases and controls. Finally, we used conditional logistic regression models to estimate unadjusted and adjusted odds of suicide associated with each substance use disorder category.ResultsAll categories of substance use disorders were associated with increased risk of suicide mortality. Adjusted odds ratios ranged from 2.0 (CI 1.7, 2.3) for patients with tobacco use disorder only to 11.2 (CI 8.0, 15.6) for patients with multiple alcohol, drug, and tobacco use disorders. Substance use disorders were associated with increased relative risk of suicide for both women and men across all categories, but the relative risk was more pronounced in women.ConclusionsSubstance use disorders are associated with significant risk of suicide mortality, especially for women, even after controlling for other important risk factors. Experiencing multiple substance use disorders is particularly risky. These findings suggest increased suicide risk screening and prevention efforts for individuals with substance use disorders are needed.

Chronic pain diagnoses and opioid dispensings among insured individuals with serious mental illness

BackgroundIndividuals with major depressive disorder (MDD) and bipolar disorder (BD) have particularly high rates of chronic non-cancer pain (CNCP) and are also more likely to receive prescription opioids for their pain. However, there have been no known studies published to date that have examined opioid treatment patterns among individuals with schizophrenia.MethodsUsing electronic medical record data across 13 Mental Health Research Network sites, individuals with diagnoses of MDD (N = 65,750), BD (N = 38,117) or schizophrenia or schizoaffective disorder (N = 12,916) were identified and matched on age, sex and Medicare status to controls with no documented mental illness. CNCP diagnoses and prescription opioid medication dispensings were extracted for the matched samples. Multivariate analyses were conducted to evaluate (1) the odds of receiving a pain-related diagnosis and (2) the odds of receiving opioids, by separate mental illness diagnosis category compared with matched controls, controlling for age, sex, Medicare status, race/ethnicity, income, medical comorbidities, healthcare utilization and chronic pain diagnoses.ResultsMultivariable models indicated that having a MDD (OR = 1.90; 95% CI = 1.85–1.95) or BD (OR = 1.71; 95% CI = 1.66–1.77) diagnosis was associated with increased odds of a CNCP diagnosis after controlling for age, sex, race, income, medical comorbidities and healthcare utilization. By contrast, having a schizophrenia diagnosis was associated with decreased odds of receiving a chronic pain diagnosis (OR = 0.86; 95% CI = 0.82–0.90). Having a MDD (OR = 2.59; 95% CI = 2.44–2.75) or BD (OR = 2.12; 95% CI = 1.97–2.28) diagnosis was associated with increased odds of receiving chronic opioid medications, even after controlling for age, sex, race, income, medical comorbidities, healthcare utilization and chronic pain diagnosis; having a schizophrenia diagnosis was not associated with receiving chronic opioid medications.ConclusionsIndividuals with serious mental illness, who are most at risk for developing opioid-related problems, continue to be prescribed opioids more often than their peers without mental illness. Mental health clinicians may be particularly well-suited to lead pain assessment and management efforts for these patients. Future research is needed to evaluate the effectiveness of involving mental health clinicians in these efforts.

Factors Influencing Participation in Biospecimen Research among Parents of Youth with Mental Health Conditions

Introduction: Biospecimens are tools that have the potential to improve early identification and treatment for autism spectrum disorders (ASD) and bipolar disorders (BPD). Unfortunately, most biobanks lack racial/ethnic diversity. One challenge to including a diverse sample of youth is recruiting and engaging families. Objective: We sought to better understand facilitators and barriers to participation in biospecimen research among a diverse group of parents of youth with ASD and BPD. Methods: The current study involved 3 Mental Health Research Network sites. At each site, parents participated in an interview that explored attitudes and beliefs about genetic research. Interviews were audio-recorded, and audio files were transcribed and coded using content analysis. Results: A total of 58 interviews were conducted. Four challenges emerged: (1) contacting and engaging potential research participants, (2) motivating potential participants to read recruitment and consent materials, (3) motivating participation in research, in general, and (4) motivating participation in research involving biospecimen donation, specifically. Conclusions: Participants were eager to participate as long as the research process involved trust, clarity, and flexibility. Future research involving youth with mental health conditions would benefit from implementing multimodal strategies for recruitment and data collection and sharing knowledge gained by the research with study participants.

Association between suicide death and concordance with benzodiazepine treatment guidelines for anxiety and sleep disorders

ObjectiveGuidelines for management of anxiety and sleep disorders emphasize antidepressant medications and/or psychotherapy as first/second-line and benzodiazepines as third-line treatments. We evaluated the association between suicide death and concordance with benzodiazepine guidelines. MethodsRetrospective case-control study of patients with anxiety and/or sleep disorders from health systems across 8 U.S. states within the Mental Health Research Network. Suicide death cases were matched to controls on year and health system. Appropriate benzodiazepine prescribing defined as: no monotherapy, no long duration, and/or age < 65 years. The association between guideline concordance and suicide death was evaluated, adjusting for diagnostic and treatment covariates. ResultsSample included 6960 patients with anxiety disorders (2363 filled benzodiazepine) and 6215 with sleep disorders (1237 filled benzodiazepine). Benzodiazepine guideline concordance was associated with reduced odds for suicide in patients with anxiety disorders (OR = 0.611, 95% CI = 0.392–0.953, p = 0.03) and was driven by shorter duration of benzodiazepine use with concomitant psychotherapy or antidepressant medication. The association of benzodiazepine guideline concordance with suicide death did not meet statistical significance in the sleep disorder group (OR = 0.413, 95% CI = 0.154–1.11, p = 0.08). ConclusionsWe found reduced odds for suicide in those with anxiety disorders who filled benzodiazepines in short-moderate duration with concomitant psychotherapy or antidepressant treatment.

Generalizing the Value of Ongoing Assessments of Suicidal Ideation or Behavior for Estimating the Risk of Subsequent Suicide Attempts

In analyses conducted for program planning, the Veterans Health Administration evaluated associations between self-reports of suicidal ideation and behavior using the Columbia Scale obtained on two occasions separated by three months and clinical or administrative records of suicide attempts over the subsequent three months., Combining information from the two assessments improved prediction of suicidal behavior and found that risk was greater when ideation was reported on both assessments, than when it was first reported at follow-up. The absence of reported ideation at the second assessment was not associated with a clinically relevant reduction in risk. These findings confirm recent reports from the Mental Health Research Network (MHRN).

Diagnosed Mental Health Conditions and Risk of Suicide Mortality

Although mental health conditions are risk factors for suicide, limited data are available on suicide mortality associated with specific mental health conditions in the U.S. population. This study aimed to fill this gap. This study used a case-control design. Patients in the case group were those who died by suicide between 2000 and 2013 and who were patients in eight health care systems in the Mental Health Research Network (N=2,674). Each was matched with 100 general population patients from the same system (N=267,400). Diagnostic codes for five mental health conditions in the year before death were obtained from medical records: anxiety disorders, attention deficit-hyperactivity disorder (ADHD), bipolar disorder, depressive disorders, and schizophrenia spectrum disorder. Among patients in the case group, 51.3% had a recorded psychiatric diagnosis in the year before death, compared with 12.7% of control group patients. Risk of suicide mortality was highest among those with schizophrenia spectrum disorder, after adjustment for age and sociodemographic characteristics (adjusted odds ratio [AOR]=15.0) followed by bipolar disorder (AOR=13.2), depressive disorders (AOR=7.2), anxiety disorders (AOR=5.8), and ADHD (AOR=2.4). The risk of suicide death among those with a diagnosed bipolar disorder was higher in women than men. Half of those who died by suicide had at least one diagnosed mental health condition in the year before death, and most mental health conditions were associated with an increased risk of suicide. Findings suggest the importance of suicide screening and providing an approach to improve awareness of mental health conditions.

Transforming youth mental health care in a semi-urban and rural region of Canada: A service description of ACCESS Open Minds Chatham-Kent.

AimThis study describes how mental health services for youth are being transformed within the context of a semi‐urban and rural region of Canada (Chatham‐Kent, Ontario), based on the framework of ACCESS Open Minds (ACCESS OM), a pan‐Canadian youth mental health research and evaluation network.MethodsTransformation has focused on the five key objectives of ACCESS OM, namely early identification, rapid access, appropriate care, continuity of care, and youth and family engagement. A community mapping process was conducted at the beginning of the transformation to help develop a comprehensive inventory of services, identify challenges and optimize partnerships to address the five key objectives.ResultsThe following strategies represent key elements in the transformation: coordination and partnerships between hospital, community and voluntary organizations, as well as different sectors of the community (e.g., Child and Youth Services, Education, Community Safety and Correctional Services, CSCS); working with local champions (e.g., Youth Diversion Officer and the Mental Health and Addictions Nurse in the school sectors); establishing a youth‐friendly space in a central part of the community, where services are co‐located and operate within an open‐concept design; training of ACCESS Clinicians to conduct an initial assessment; engaging youth and family in service‐level recruitment, planning, daily operations, and evaluation, including hiring of youth and family peer navigators; and, engaging the community through awareness and educational events.ConclusionsThe success of this transformation needs to be measured on various outcome parameters, but it is notable that neighbouring communities are already beginning to implement a similar model.

Impact of ICD-10-CM Transition on Mental Health Diagnoses Recording.

Objective:This study examines the impact of the transition from ICD-9-CM to ICD-10-CM diagnosis coding on the recording of mental health disorders in electronic health records (EHRs) and claims data in ten large health systems. We present rates of these diagnoses across two years spanning the October 2015 transition.Methods:Mental health diagnoses were identified from claims and EHR data at ten health care systems in the Mental Health Research Network (MHRN). Corresponding ICD-9-CM and ICD-10-CM codes were compiled and monthly rates of people receiving these diagnoses were calculated for one year before and after the coding transition.Results:For seven of eight diagnostic categories, monthly rates were comparable during the year before and the year after the ICD-10-CM transition. In the remaining category, psychosis excluding schizophrenia spectrum disorders, aggregate monthly rates of decreased markedly with the ICD-10-CM transition, from 48 to 33 per 100,000. We propose that the change is due to features of General Equivalence Mappings (GEMS) embedded in the EHR.Conclusions:For most mental health conditions, the transition to ICD-10-CM appears to have had minimal impact. The decrease seen for psychosis diagnoses in these health systems is likely due to changes associated with EHR implementation of ICD-10-CM coding rather than an actual change in disease prevalence. It is important to consider the impact of the ICD-10-CM transition for all diagnostic criteria used in research studies, quality measurement, and financial analysis during this interval.