Patterns of Health Care Utilization Before First Episode Psychosis in Racial and Ethnic Groups

Objective

To compare patterns of health care utilization associated with first presentation of psychosis among different racial and ethnic groups of patients.

Design

The study was a retrospective observational design.

Setting

The study was conducted in five health care systems in the western United States. All sites were also part of the National Institute of Mental Health-funded Mental Health Research Network (MHRN).

Participants

Patients (n = 852) were aged 15 - 59 years (average 26.9 ± 12.2 years), 45% women, and primarily non-Hispanic White (53%), with 16% Hispanic, 10% non-Hispanic Black, 6% Asian, 1% Native Hawaiian/Pacific Islander, 1% Native American/ Alaskan Native, and 12% unknown race/ethnicity.

Main Outcome Measures

Variables examined were patterns of health care utilization, type of comorbid mental health condition, and type of treatment received in the three years before first presentation of psychosis.

Methods

Data abstracted from electronic medical records and insurance claims data were organized into a research virtual data warehouse (VDW) and used for analysis.

Results

Compared with non-Hispanic Whites, Asian patients (16% vs 34%; P=.007) and non-Hispanic Black patients (20% vs 34%; P=.009) were less likely to have a visit with specialty mental health care before their first presentation of psychosis.

Conclusions

Early detection of first episode psychosis should start with wider screening for symptoms outside of any indicators for mental health conditions for non-Hispanic Black and Asian patients.

Diagnosed Mental Health Conditions and Risk of Suicide Mortality

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Improving pragmatic clinical trial design using real-world data

BACKGROUND

Pragmatic clinical trials often use automated data sources such as electronic health records, claims, or registries to identify eligible individuals and collect outcome information. A specific advantage that this automated data collection often yields is having data on potential participants when design decisions are being made. We outline how this data can be used to inform trial design.

METHODS

Our work is motivated by a pragmatic clinical trial evaluating the impact of suicide-prevention outreach interventions on fatal and non-fatal suicide attempts in the 18 months after randomization. We illustrate our recommended approaches for designing pragmatic clinical trials using historical data from the health systems participating in this study. Specifically, we illustrate how electronic health record data can be used to inform the selection of trial eligibility requirements, to estimate the distribution of participant characteristics over the course of the trial, and to conduct power and sample size calculations.

RESULTS

Data from 122,873 people with patient health questionnaire (PHQ) responses, recorded in their electronic health records between 1 July 2010 and 31 March 2012, were used to show that the suicide attempt rate in the 18 months following completion of the questionnaire varies by response to item nine of the PHQ. We estimated that the proportion of individuals with a prior recorded elevated PHQ (i.e. history of suicidal ideation) would decrease from approximately 50% at the beginning of a trial to about 5%, 50 weeks later. Using electronic health record data, we conducted simulations to estimate the power to detect a 25% reduction in suicide attempts. Simulation-based power calculations estimated that randomizing 8000 participants per randomization arm would allow 90% power to detect a 25% reduction in the suicide attempt rate in the intervention arm compared to usual care at an alpha rate of 0.05.

CONCLUSIONS

Historical data can be used to inform the design of pragmatic clinical trials, a strength of trials that use automated data collection for randomizing participants and assessing outcomes. In particular, realistic sample size calculations can be conducted using real-world data from the health systems in which the trial will be conducted. Data-informed trial design should yield more realistic estimates of statistical power and maximize efficiency of trial recruitment.

Self-Reported Suicidal Ideation as a Predictor of Suicidal Behavior Among Outpatients With Diagnoses of Psychotic Disorders

OBJECTIVE

Individuals with psychotic disorders are at high risk of suicidal behavior. The study examined whether response to item 9 of the Patient Health Questionnaire (PHQ-9), which asks about thoughts of death or self-harm, predicts suicidal behavior among outpatients with diagnoses of psychotic disorders.

METHODS

Electronic health records (EHRs) from seven large integrated health systems were used to identify all outpatient visits by adults with a diagnosis of schizophrenia spectrum psychosis or unspecified psychosis from January 1, 2009, to June 30, 2015, during which a PHQ-9 was completed (N=32,982 visits by 5,947 patients). Suicide attempts over the 90 days following each visit were ascertained from EHRs and insurance claims. Suicide deaths were ascertained from state death certificate files.

RESULTS

Risk of suicide attempt within 90 days of an outpatient visit was .8% among patients reporting no thoughts of death or self-harm and 3.5% among those reporting such thoughts "nearly every day." Over 90 days of follow-up, 47% of suicide attempts occurred among those who reported any recent thoughts of death or self-harm at the sampled visit. Also, 59% of attempts occurred among those reporting thoughts of death or self-harm at the index visit or any visit in the prior year. The number of suicide deaths within 90 days (N=10) was too small to accurately assess the relationship between PHQ-9 item 9 response and subsequent suicide death.

CONCLUSIONS

Among outpatients with psychotic disorders, response to item 9 of the PHQ-9 accurately identified those at increased short-term risk of a suicide attempt.

The Mediating Effect of Sleep Disturbance on the Relationship Between Nonmalignant Chronic Pain and Suicide Death

IMPORTANCE

Few studies have examined the relationship between nonmalignant chronic pain (NMCP) and suicide death, and even fewer have specifically explored what role sleep disturbance might play in the association between NMCP and suicide death.

OBJECTIVE

To assess whether sleep disturbance mediates the relationship between NMCP and suicide death.

DESIGN

This case-control study included 2,674 individuals who died by suicide between 2000 and 2013 (cases) and 267,400 matched individuals (controls).

SETTING

Eight Mental Health Research Network (MHRN)-affiliated healthcare systems.

PARTICIPANTS

All cases and matched controls were health plan members for at least 10 months during the year prior to the index date.

MAIN OUTCOMES AND MEASURES

Sociodemographic data and diagnosis codes for NMCP and sleep disorders were extracted from the MHRN's Virtual Data Warehouse. Suicide mortality was identified using International Statistical Classification of Diseases and Related Health Problems (ICD)-10 codes from official government mortality records matched to health system records.

RESULTS

After accounting for covariates, there was a significant relationship between NMCP and sleep disturbance; those who were diagnosed with NMCP were more likely to develop subsequent sleep disturbance. Similarly, sleep disturbance was significantly associated with suicide death. Finally, a significant indirect effect of NMCP on suicide death, through sleep disturbance, and a nonsignificant direct effect of NMCP on suicide death provide support for a fully mediated model.

CONCLUSIONS AND RELEVANCE

There is a need for clinicians to screen for both sleep disturbance and suicidal ideation in NMCP patients and for health systems to implement more widespread behavioral treatments that address comorbid sleep problems and NMCP.

Frequency of use and perceived helpfulness of wellness strategies for bipolar and unipolar depression

BACKGROUND

The majority of research in mood disorders has focused on pharmacologic, psychotherapeutic, and brain stimulation interventions. Conversely, the utility of less structured interventions, such as lifestyle modifications or wellness strategies, has remained understudied. The objective of the current study is to evaluate the frequency of use and perceived helpfulness of wellness strategies for bipolar and unipolar depression.

METHODS

The Depression and Bipolar Support Alliance (DBSA) conducted an online survey asking participants about the use and helpfulness of wellness strategies.

RESULTS

In total, 896 participants completed the survey (unipolar depression [n = 447] and bipolar depression [n = 449]). Wellness strategies were used by 62% and 59% of individuals with bipolar and unipolar depression, respectively. Listening to music, socializing, and adequate sleep were commonly reported wellness strategies. The majority of participants reported wellness strategies to be helpful. Use of wellness strategies was associated with greater overall perceived treatment effectiveness (P < .0001) and greater subjective helpfulness of medications (P = .039), psychotherapy (P < .0001), and peer support groups (P < .0001).

CONCLUSIONS

Wellness strategies were commonly used by the majority of respondents. These strategies were subjectively helpful for most respondents and were associated with greater overall treatment effectiveness and increased helpfulness of medications, psychotherapy, and peer support groups. As such, wellness strategies should be considered while developing a holistic treatment plan for depression. Further research is needed to evaluate the antidepressant effects of specific wellness strategies to better understand the role of these interventions in the management of depression.

Factors That Impact Treatment Decisions: Results From an Online Survey of Individuals With Bipolar and Unipolar Depression

Objective

To identify patient-reported factors that influence medication treatment decisions among individuals with bipolar and unipolar depression.

Methods

The Depression and Bipolar Support Alliance (DBSA) conducted an online survey February 2016 to April 2016 asking participants about factors that influence treatment decisions (eg, starting and stopping specific medications).

Results

In total, 896 participants completed the survey (49.9% unipolar depression [n = 447] and 50.1% bipolar depression [n = 449]). The majority of respondents reported several previous medication trials. The most frequently reported factors impacting treatment decisions were side effects, doctor recommendations, cost, and how quickly the treatment will begin to work. The most common reason for changing treatments was ineffectiveness in the unipolar depression group and side effects in the bipolar depression group. Weight gain was the side effect that most commonly led respondents to discontinue a medication. When respondents currently using medications versus respondents not using medications were compared, doctor recommendations were more likely to be influential for those taking medications (P < .0001). Conversely, cost (P = .008) and impact on pregnancy/lactation (P = .045) were more likely to impact treatment decisions in participants not currently taking medications. Current medication use was associated with increased rates of perceived treatment effectiveness (P < .0001).

Conclusions

Side effects, doctor recommendations, cost, and rapidity of antidepressant effects were determined to be particularly important factors in making treatment decisions, with doctor recommendations being more influential for medication users and cost being more influential for participants not using medications. These findings highlight the importance of patient-centered factors in adjudicating treatment decisions.

Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records

OBJECTIVE

The authors sought to develop and validate models using electronic health records to predict suicide attempt and suicide death following an outpatient visit.

METHOD

Across seven health systems, 2,960,929 patients age 13 or older (mean age, 46 years; 62% female) made 10,275,853 specialty mental health visits and 9,685,206 primary care visits with mental health diagnoses between Jan. 1, 2009, and June 30, 2015. Health system records and state death certificate data identified suicide attempts (N=24,133) and suicide deaths (N=1,240) over 90 days following each visit. Potential predictors included 313 demographic and clinical characteristics extracted from records for up to 5 years before each visit: prior suicide attempts, mental health and substance use diagnoses, medical diagnoses, psychiatric medications dispensed, inpatient or emergency department care, and routinely administered depression questionnaires. Logistic regression models predicting suicide attempt and death were developed using penalized LASSO (least absolute shrinkage and selection operator) variable selection in a random sample of 65% of the visits and validated in the remaining 35%.

RESULTS

Mental health specialty visits with risk scores in the top 5% accounted for 43% of subsequent suicide attempts and 48% of suicide deaths. Of patients scoring in the top 5%, 5.4% attempted suicide and 0.26% died by suicide within 90 days. C-statistics (equivalent to area under the curve) for prediction of suicide attempt and suicide death were 0.851 (95% CI=0.848, 0.853) and 0.861 (95% CI=0.848, 0.875), respectively. Primary care visits with scores in the top 5% accounted for 48% of subsequent suicide attempts and 43% of suicide deaths. C-statistics for prediction of suicide attempt and suicide death were 0.853 (95% CI=0.849, 0.857) and 0.833 (95% CI=0.813, 0.853), respectively.

CONCLUSIONS

Prediction models incorporating both health record data and responses to self-report questionnaires substantially outperform existing suicide risk prediction tools.

General Medical, Mental Health, and Demographic Risk Factors Associated With Suicide by Firearm Compared With Other Means

OBJECTIVE

Mitigation of suicide risk by reducing access to lethal means, such as firearms and potentially lethal medications, is a highly recommended practice. To better understand groups of patients at risk of suicide in medical settings, the authors compared demographic and clinical risk factors between patients who died by suicide by using firearms or other means with matched patients who did not die by suicide (control group).

METHODS

In a case-control study in 2016 from eight health care systems within the Mental Health Research Network, 2,674 suicide cases from 2010-2013 were matched to a control group (N=267,400). The association between suicide by firearm or other means and medical record information on demographic characteristics, general medical disorders, and mental disorders was assessed.

RESULTS

The odds of having a mental disorder were higher among cases of suicide involving a method other than a firearm. Fourteen general medical disorders were associated with statistically significant (p<.001) greater odds of suicide by firearm, including traumatic brain injury (TBI) (odds ratio [OR]=23.53), epilepsy (OR=3.17), psychogenic pain (OR=2.82), migraine (OR=2.35), and stroke (OR=2.20). Fifteen general medical disorders were associated with statistically significant (p<.001) greater odds of suicide by other means, with particularly high odds for TBI (OR=7.74), epilepsy (OR=3.28), HIV/AIDS (OR=6.03), and migraine (OR=3.17).

CONCLUSIONS

Medical providers should consider targeting suicide risk screening for patients with any mental disorder, TBI, epilepsy, HIV, psychogenic pain, stroke, and migraine. When suicide risk is detected, counseling on reducing access to lethal means should include both firearms and other means for at-risk groups.

Care Pathways Before First Diagnosis of a Psychotic Disorder in Adolescents and Young Adults

OBJECTIVE

The authors sought to describe patterns of health care use prior to first diagnosis of a psychotic disorder in a population-based sample.

METHOD

Electronic health records and insurance claims from five large integrated health systems were used to identify 624 patients 15-29 years old who received a first diagnosis of a psychotic disorder in any care setting and to record health services received, diagnoses assigned, and medications dispensed during the previous 36 months. Patterns of utilization were compared between patients receiving a first diagnosis of a psychotic disorder and matched samples of general health system members and members receiving a first diagnosis of unipolar depression.

RESULTS

During the year before a first psychotic disorder diagnosis, 29% of patients had mental health specialty outpatient care, 8% had mental health inpatient care, 24% had emergency department mental health care, 29% made a primary care visit with a mental health diagnosis, and 60% received at least one mental health diagnosis (including substance use disorders). Compared with patients receiving a first diagnosis of unipolar depression, those with a first diagnosis of a psychotic disorder were modestly more likely to use all types of health services and were specifically more likely to use mental health inpatient care (odds ratio=2.96, 95% CI=1.97-4.43) and mental health emergency department care (rate ratio=3.74, 95% CI=3.39-4.53).

CONCLUSIONS

Most patients receiving a first diagnosis of a psychotic disorder had some indication of mental health care need during the previous year. General use of primary care or mental health services, however, does not clearly distinguish people who later receive a diagnosis of a psychotic disorder from those who later receive a diagnosis of unipolar depression. Use of inpatient or emergency department mental health care is a more specific indicator of risk.

Mortality Rates After the First Diagnosis of Psychotic Disorder in Adolescents and Young Adults

IMPORTANCE

Individuals with psychotic disorders have increased mortality, and recent research suggests a marked increase shortly after diagnosis.

OBJECTIVE

To use population-based data to examine overall and cause-specific mortality after first diagnosis of a psychotic disorder.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used records from 5 integrated health systems that serve more than 8 million members in 5 states. Members aged 16 through 30 years who received a first lifetime diagnosis of a psychotic disorder from September 30, 2009, through September 30, 2015, and 2 comparison groups matched for age, sex, health system, and year of diagnosis were selected from all members making an outpatient visit (general outpatient group) and from all receiving a first diagnosis of unipolar depression (unipolar depression group).

EXPOSURES

First recorded diagnosis of schizophrenia, schizoaffective disorder, mood disorder with psychotic symptoms, or other psychotic disorder in any outpatient, emergency department, or inpatient setting.

MAIN OUTCOMES AND MEASURES

Death within 3 years after the index diagnosis or visit date, ascertained from health system electronic health records, insurance claims, and state mortality records.

RESULTS

A total of 11 713 members with first diagnosis of a psychotic disorder (6976 [59.6%] men and 4737 [40.4%] women; 2368 [20.2%] aged 16-17 and 9345 [79.8%] aged 18-30 years) were matched to 35 576 outpatient service users and 23 415 members with a first diagnosis of unipolar depression. During the year after the first diagnosis, all-cause mortality was 54.6 (95% CI, 41.3-68.0) per 10 000 in the psychotic disorder group compared with 20.5 (95% CI, 14.7-26.3) per 10 000 in the unipolar depression group and 6.7 (95% CI, 4.0-9.4) per 10 000 in the general outpatient group. After adjustment for race, ethnicity, and preexisting chronic medical conditions, the relative hazard of death in the psychotic disorder group compared with the general outpatient group was 34.93 (95% CI, 8.19-149.10) for self-inflicted injury or poisoning and 4.67 (95% CI, 2.01-10.86) for other type of injury or poisoning. Risk of death due to heart disease or diabetes did not differ significantly between the psychotic disorder and the general outpatient groups (hazard ratio, 0.78; 95% CI, 0.15-3.96). Between the first and third years after diagnosis, all-cause mortality in the psychotic disorder group decreased from 54.6 to 27.1 per 10 000 persons and injury and poisoning mortality decreased from 30.6 to 15.1 per 10 000 persons. Both rates, however, remained 3 times as high as in the general outpatient group (9.0 per 10 000 for all causes; 4.8 per 10 000 for injury or poisoning).

CONCLUSIONS AND RELEVANCE

Increases in early mortality underscore the importance of systematic intervention for young persons experiencing the first onset of psychosis. Clinicians should attend to the elevated suicide risk after the first diagnosis a psychotic disorder.

Dermatologic Conditions and Risk of Suicide: A Case-Control Study

BACKGROUND

Patients diagnosed with skin conditions have a higher risk of comorbid psychiatric conditions and suicide-related outcomes such as suicidal ideations and behaviors. There is paucity of evidence in the US general population about the risk of suicide death in patients with dermatologic conditions.

METHODS

We conducted a retrospective case-control study to investigate the risk of suicide death in patients receiving care for dermatologic conditions. This study involved 8 US health systems. A total of 2674 individuals who died by suicide (cases) were matched with 267,400 general population control individuals.

RESULTS

After adjusting for age, sex, and any mental health or substance use condition, we did not find an association between death by suicide and any skin condition including conditions where clinicians are generally concerned about the risk such as acne (adjusted odds ratio [aOR] = 1.04, p = 0.814), atopic dermatitis (aOR = 0.77, p = 0.28), and psoriasis (aOR = 0.91, p = 0.64).

CONCLUSION

This case-control study provides no evidence of increased risk of death by suicide in individuals with major skin disorders in the US general population.

Does Patient Adherence to Antidepressant Medication Actually Vary Between Physicians?

OBJECTIVE

Previous research and improvement efforts have presumed that patients' nonadherence to antidepressant medication reflects physicians' quality of care. We used population-based health records to examine whether adherence to antidepressant medication actually varies between prescribing physicians.

METHODS

Electronic health records and insurance claims data from 5 integrated health systems in Washington, Idaho, Minnesota, Colorado, Hawaii, and California were used to identify 150,318 adults starting new episodes of antidepressant treatment for depression between January 1, 2010, and December 31, 2012. Early adherence was defined as any refill or dispensing of antidepressant medication in the 180 days following an initial antidepressant prescription. Patient-level demographic and clinical characteristics potentially associated with adherence were identified from health system records.

RESULTS

Average probability of early adherence was 82% for psychiatrists and 74% for primary care physicians. Among individual physicians, the range of raw or unadjusted early adherence rates (5th to 95th percentiles) was from 33% to 100% for psychiatrists and from 0% to 100% for primary care physicians. After accounting for sampling variation and case mix differences, the range of adjusted early adherence rates (5th to 95th percentiles) was from 72% to 78% for psychiatrists and from 64% to 69% for primary care physicians.

CONCLUSIONS

After accounting for sampling variation and case mix differences, early adherence to antidepressant medication varies minimally among prescribing physicians. Early discontinuation of antidepressant treatment is not an appropriate measure of individual physician performance, and efforts to improve adherence should emphasize system-level interventions rather than the performance of individual physicians.