1
|
Zhan D, Gregory EC, Humaira A, Wong H, Klonsky ED, Levit A, Ridgway L, Vila-Rodriguez F. Trajectories of suicidal ideation during rTMS for treatment-resistant depression. J Affect Disord 2024:S0165-0327(24)00845-0. [PMID: 38788857 DOI: 10.1016/j.jad.2024.05.109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/29/2024] [Accepted: 05/21/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND rTMS is a safe and effective intervention for treatment-resistant depression (TRD). However, there is limited data on its specific impact on suicidal ideation (SI), and the trajectory of SI over the treatment course. OBJECTIVE This open-label clinical trial investigated SI outcomes and trajectories in patients with TRD receiving low-frequency rTMS (LFR) to the right dorsolateral prefrontal cortex (DLPFC; N = 55). METHODS A latent class mixed-effect model was used to identify response trajectories for SI as well as core mood symptoms. Logistic regression analyses investigated risk factors associated with identified trajectories. RESULTS For each symptom domain, we identified two distinct trajectories during LFR, one tracking improvement (SI: n = 35, 60 %; mood: n = 29, 53 %) and the other tracking no improvement (SI: n = 20, 40 %; mood: n = 26, 47 %). Male sex, higher baseline anxiety, and higher baseline SI were risk factors for no improvement of SI; while higher baseline anxiety and benzodiazepine use were risk factors for no improvement of mood. Mediation analyses showed that anxiety was a risk factor for no improvement of SI and mood independent of benzodiazepine treatment. CONCLUSIONS This is the first study to investigate trajectories of response to LFR to the right DLPFC. SI and mood improved with LFR in most patients but the severity of anxiety symptoms was a factor of poor prognosis for both. Nuanced characterization of SI response to rTMS may lead to critical insights for individualized targeting strategies.
Collapse
Affiliation(s)
- Denghuang Zhan
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada; Centre for Advancing Health Outcomes, St Paul's Hospital, Vancouver, BC, Canada; School of Population & Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Elizabeth C Gregory
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Afifa Humaira
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Hubert Wong
- Centre for Advancing Health Outcomes, St Paul's Hospital, Vancouver, BC, Canada; School of Population & Public Health, University of British Columbia, Vancouver, BC, Canada
| | - E David Klonsky
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Alexander Levit
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Lisa Ridgway
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Fidel Vila-Rodriguez
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
| |
Collapse
|
2
|
Trombello JM, Kulikova A, Mayes TL, Nandy K, Carmody T, Bart G, Nunes EV, Schmitz J, Kalmin M, Shoptaw S, Trivedi MH. Psychometrics of the Concise Health Risk Tracking Self-Report (CHRT-SR 16) Assessment of Suicidality in a Sample of Adults with Moderate to Severe Methamphetamine Use Disorder: Findings from the ADAPT-2 Randomized Trial. Neuropsychiatr Dis Treat 2023; 19:1443-1454. [PMID: 37377462 PMCID: PMC10292610 DOI: 10.2147/ndt.s406909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/28/2023] [Indexed: 06/29/2023] Open
Abstract
Background The co-occurrence of suicidality and substance use disorders has been well established, but rating scales to examine suicidal behavior and risk are sparse among participants with substance use disorders. We examined the psychometric properties of the 16-item Concise Health Risk Tracking Scale - Self Report (CHRT-SR16) to measure suicidality among adults with moderate-to-severe methamphetamine use disorder. Methods Participants (n = 403) with moderate-to-severe methamphetamine use disorder completed the CHRT-SR16 as part of a randomized, double-blind, placebo-controlled pharmacotherapy trial. The CHRT-SR16 factor structure was assessed using confirmatory factor analysis (CFA). Internal consistency was estimated with coefficients alpha (α) and omega (ω), test-retest reliability with intraclass correlation coefficient (ICC) and standard error of measurement, and convergent validity using Spearman's ρ rank order correlation coefficient test between CHRT-SR16 factors and the Patient Health Questionnaire (PHQ-9). The analyses utilized baseline and week 1 data (for test-retest reliability only). Results CFA revealed a seven-factor model of Pessimism, Helplessness, Social Support, Despair, Impulsivity, Irritability, and Suicidal Thoughts as the best-fitting model. The CHRT-SR16 also exhibited strong internal consistency (α = 0.89; ω = 0.89), test-retest reliability (ICC = 0.78) and convergent validity with the PHQ-9 total score (ρ = 0.62). Conclusion The CHRT-SR16 showed strong psychometric properties in a sample of participants with primary methamphetamine use disorder. Clinicaltrialsgov Identifier NCT03078075.
Collapse
Affiliation(s)
- Joseph M Trombello
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Alexandra Kulikova
- Department of Educational Psychology, University of North Texas, Denton, TX, USA
| | - Taryn L Mayes
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Karabi Nandy
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Thomas Carmody
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Gavin Bart
- Department of Medicine, University of Minnesota, Hennepin County Medical Center, Minneapolis, MN, USA
| | - Edward V Nunes
- Department of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NY, USA
| | - Joy Schmitz
- Faillace Department of Psychiatry and Behavioral Sciences, University of Texas (UT Health) at Houston, Houston, TX, USA
| | - Mariah Kalmin
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Steven Shoptaw
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Madhukar H Trivedi
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|
3
|
Tong Y, Yin Y, Conner KR, Zhao L, Wang Y, Wang X, Conwell Y. Predictive value of suicidal risk assessment using data from China's largest suicide prevention hotline. J Affect Disord 2023; 329:141-148. [PMID: 36842651 DOI: 10.1016/j.jad.2023.02.095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 02/10/2023] [Accepted: 02/20/2023] [Indexed: 02/26/2023]
Abstract
BACKGROUND Suicide hotlines are widely used, with potential for identification of callers at especially high risk. METHODS This prospective study was conducted at the largest psychological support hotline in China. From 2015 to 2017, all distressed callers were consecutively included and assessed, using a standardized scale consisting of 12 elements, yielding scores of high risk (8-16), moderate risk (4-7), and low risk (0-3) for suicidal act. All high-risk and half of moderate- and low-risk callers were scheduled for a 12-month follow-up. Main outcomes were suicidal acts (nonlethal attempt, death) over follow-up. RESULTS Of 21,346 fully assessed callers, 5822, 11,791, and 3733 were classified as high-, moderate-, or low-risk for suicidal acts, with 8869 callers (4076 high-, 3258 moderate-, and 1535 low-risk) followed up over 12 months. Over follow-up, 802 (9.0 %) callers attempted suicide or died by suicide. The high-risk callers (15.1 %) had 3-fold higher risk for subsequent suicidal acts than moderate- (5.1 %) and 12-fold higher risk than low-risk callers (1.3 %). The weighted sensitivity, specificity, and positive predictive value of high risk scores were 56.4 %, 74.9 %, and 14.4 %. LIMITATIONS Assessed callers with different risk levels were followed disproportionally. CONCLUSIONS Suicidal risk assessment during a hotline call is both feasible and predictive of risk, guiding resource allocation to higher risk callers.
Collapse
Affiliation(s)
- Yongsheng Tong
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China; WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China; Peking University Huilongguan Clinical Medical School, Beijing, China.
| | - Yi Yin
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China; WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China; Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Kenneth R Conner
- Department of Emergency Medicine, University of Rochester Medical Center, Rochester, NY, USA; Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Liting Zhao
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China; WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China
| | - Yuehua Wang
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China; WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China
| | - Xuelian Wang
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China; WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China; Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| |
Collapse
|
4
|
Landrum KR, Akiba CF, Pence BW, Akello H, Chikalimba H, Dussault JM, Hosseinipour MC, Kanzoole K, Kulisewa K, Malava JK, Udedi M, Zimba CC, Gaynes BN. Assessing suicidality during the SARS-CoV-2 pandemic: Lessons learned from adaptation and implementation of a telephone-based suicide risk assessment and response protocol in Malawi. PLoS One 2023; 18:e0281711. [PMID: 36930620 PMCID: PMC10022777 DOI: 10.1371/journal.pone.0281711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 01/26/2023] [Indexed: 03/18/2023] Open
Abstract
The SARS-CoV-2 pandemic led to the rapid transition of many research studies from in-person to telephone follow-up globally. For mental health research in low-income settings, tele-follow-up raises unique safety concerns due to the potential of identifying suicide risk in participants who cannot be immediately referred to in-person care. We developed and iteratively adapted a telephone-delivered protocol designed to follow a positive suicide risk assessment (SRA) screening. We describe the development and implementation of this SRA protocol during follow-up of a cohort of adults with depression in Malawi enrolled in the Sub-Saharan Africa Regional Partnership for Mental Health Capacity Building (SHARP) randomized control trial during the COVID-19 era. We assess protocol feasibility and performance, describe challenges and lessons learned during protocol development, and discuss how this protocol may function as a model for use in other settings. Transition from in-person to telephone SRAs was feasible and identified participants with suicidal ideation (SI). Follow-up protocol monitoring indicated a 100% resolution rate of SI in cases following the SRA during this period, indicating that this was an effective strategy for monitoring SI virtually. Over 2% of participants monitored by phone screened positive for SI in the first six months of protocol implementation. Most were passive risk (73%). There were no suicides or suicide attempts during the study period. Barriers to implementation included use of a contact person for participants without personal phones, intermittent network problems, and pre-paid phone plans delaying follow-up. Delays in follow-up due to challenges with reaching contact persons, intermittent network problems, and pre-paid phone plans should be considered in future adaptations. Future directions include validation studies for use of this protocol in its existing context. This protocol was successful at identifying suicide risk levels and providing research assistants and participants with structured follow-up and referral plans. The protocol can serve as a model for virtual SRA development and is currently being adapted for use in other contexts.
Collapse
Affiliation(s)
- Kelsey R. Landrum
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Christopher F. Akiba
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Brian W. Pence
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | | | | | - Josée M. Dussault
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Mina C. Hosseinipour
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | | | - Kazione Kulisewa
- Department of Psychiatry and Mental Health, Kamuzu University of Health, Blantyre, Malawi
| | | | - Michael Udedi
- Noncommunicable Disease and Mental Health Unit, Malawi Ministry of Health, Lilongwe, Malawi
| | | | - Bradley N. Gaynes
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| |
Collapse
|
5
|
Nandy K, Rush AJ, Carmody TJ, Mayes TL, Trivedi MH. The 9-item Concise Health Risk Tracking - Self-Report (CHRT-SR 9) measure of suicidal risk: Performance in adult primary care patients. Front Psychiatry 2023; 14:1014766. [PMID: 36865066 PMCID: PMC9971953 DOI: 10.3389/fpsyt.2023.1014766] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/23/2023] [Indexed: 02/16/2023] Open
Abstract
PURPOSE To evaluate the psychometric properties of a 9-item Concise Health Risk Tracking Self-Report (or CHRT-SR9) to assess suicidal risk in adult primary care outpatients. METHODS Overall, 369 adults completed the original 14-item version of CHRT-SR at baseline and within 4 months thereafter, from which the CHRT-SR9 was extracted using multigroup confirmatory factor analysis. Measurement invariance (across age and sex) and classical test theory characteristics of the CHRT-SR9 were evaluated. Concurrent validity was assessed by comparing CHRT-SR9 responses to those of the suicide item in the Patient Health Questionnaire (PHQ-9), both cross-sectionally and as a change measure over time. RESULTS Confirmatory factor analysis identified the CHRT-SR9 as the optimal solution. Factors included pessimism, helplessness, despair (2 items each) and suicidal thoughts (3 items). Measurement invariance held across sex and age groups, indicating that mean differences among sub-groups were real and not attributable to measurement bias. Classical test theory revealed acceptable item-total correlations overall (0.57-0.79) and internal consistency (Spearman-Brown from 0.76 to 0.90). Concurrent validity analyses revealed that the CHRT-SR9 can measure both improvement and worsening of suicidality over time. A PHQ-9 response of 0, 1, 2, and 3 on the suicide item corresponded to 7.82 (5.53), 16.80 (4.99), 20.71 (5.36), and 25.95 (7.30) (mean and SD) on CHRT-SR9 total score, respectively. CONCLUSION The CHRT-SR9 is a brief self-report evaluating suicidality with excellent psychometric properties that is sensitive to change over time.
Collapse
Affiliation(s)
- Karabi Nandy
- Peter O'Donnell School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX, United States.,Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - A John Rush
- Curbstone Consultant LLC., Santa Fe, NM, United States.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States.,Department of Psychiatry, Duke-National University of Singapore, Singapore, Singapore
| | - Thomas J Carmody
- Peter O'Donnell School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX, United States.,Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Taryn L Mayes
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Madhukar H Trivedi
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| |
Collapse
|
6
|
Suicidality as a Predictor of Overdose among Patients with Substance Use Disorders. J Clin Med 2022; 11:jcm11216400. [DOI: 10.3390/jcm11216400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/22/2022] [Accepted: 10/23/2022] [Indexed: 11/16/2022] Open
Abstract
Increasing rates of overdose and overdose deaths are a significant public health problem. Research has examined co-occurring mental health conditions, including suicidality, as a risk factor for intentional and unintentional overdose among individuals with substance use disorder (SUD). However, this research has been limited to single site studies of self-reported outcomes. The current research evaluated suicidality as a predictor of overdose events in 2541 participants who use substances enrolled across eight multi-site clinical trials completed within the National Drug Abuse Treatment Clinical Trials Network between 2012 to 2021. The trials assessed baseline suicidality with the Concise Health Risk Tracking Self-Report (CHRT-SR). Overdose events were determined by reports of adverse events, cause of death, or hospitalization due to substance overdose, and verified through a rigorous adjudication process. Multivariate logistic regression was performed to assess continuous CHRT-SR score as a predictor of overdose, controlling for covariates. CHRT-SR score was associated with overdose events (p = 0.03) during the trial; the likelihood of overdose increased as continuous CHRT score increased (OR 1.02). Participants with lifetime heroin use were more likely to overdose (OR 3.08). Response to the marked rise in overdose deaths should integrate suicide risk reduction as part of prevention strategies.
Collapse
|
7
|
Nandy K, Rush AJ, Carmody TJ, Kulikova A, Mayes TL, Emslie G, Trivedi MH. The Concise Health Risk Tracking - Self-Report (CHRT-SR)-A measure of suicidal risk: Performance in adolescent outpatients. Int J Methods Psychiatr Res 2022:e1944. [PMID: 36217566 DOI: 10.1002/mpr.1944] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 08/12/2022] [Accepted: 08/20/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES The Concise Health Risk Tracking Self-Report (CHRT-SR) assesses the risk of suicidal behavior. We report its psychometric properties in a representative sample of adolescent outpatients. METHODS A sample (n = 657) of adolescents (<18 years of age) in primary or psychiatric care completed the 14-item version of CHRT-SR at both baseline and within 3 months. To identify an optimal brief solution for the scale, we evaluated the factor structure of CHRT-SR using multigroup confirmatory factor analysis, and testing measurement invariance across age and gender. The item response theory and classical test theory characteristics of the optimal solution were evaluated. Concurrent validity (both cross-sectional and as a change measure over time) of the optimal solution was assessed by comparing it to another suicide measure. RESULTS Confirmatory factor analysis identified the 9-item CHRT-SR (CHRT-SR9 ) as the optimal solution. Classical test theory and item response theory indicated excellent fit. Concurrent validity analyses revealed that it can measure both improvement/worsening of suicidality over time. CONCLUSION The CHRT-SR9 is a brief self-report with excellent psychometric properties in a sample of adolescents that is sensitive to changes in suicidality over time. Its performance in other populations and ability to predict future suicidal events deserves study.
Collapse
Affiliation(s)
- Karabi Nandy
- Division of Biostatistics, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - A John Rush
- Curbstone Consultant LLC, Santa Fe, New Mexico, USA.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA.,Duke-National University of Singapore, Singapore, Singapore
| | - Thomas J Carmody
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Alexandra Kulikova
- Department of Educational Psychology, University of North Texas, Denton, Texas, USA
| | - Taryn L Mayes
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Graham Emslie
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| |
Collapse
|
8
|
Trombello JM, Killian MO, Grannemann BD, Rush AJ, Mayes TL, Parsey RV, McInnis M, Jha MK, Ali A, McGrath PJ, Adams P, Oquendo MA, Weissman MM, Carmody TJ, Trivedi MH. The Concise Health Risk Tracking-Self Report: Psychometrics within a placebo-controlled antidepressant trial among depressed outpatients. J Psychopharmacol 2019; 33:185-193. [PMID: 30652941 PMCID: PMC6379122 DOI: 10.1177/0269881118817156] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND/AIMS While substantial prior research has evaluated the psychometric properties of the 12-item Concise Health Risk Tracking-Self Report (CHRT-SR12), a measure of suicide propensity and suicidal thoughts, no prior research has investigated its factor structure, sensitivity to change over time, and other psychometric properties in a placebo-controlled trial of antidepressant medication, nor determined whether symptoms change throughout treatment. METHODS Participants in the multi-site Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study ( n=278) provided data to evaluate the factor structure and sensitivity to change over time of the CHRT-SR12 through eight weeks of a clinical trial in which participants received either placebo or antidepressant medication (sertraline). RESULTS/OUTCOMES Factor analysis confirmed two factors: propensity (comprised of first-order factors including pessimism, helplessness, social support, and despair) and suicidal thoughts. Internal consistency (α's ranged from 0.69-0.92) and external validity were both acceptable, with the total score and propensity factor scores significantly correlated with total scores and single-item suicidal-thoughts scores on the self-report Quick Inventory of Depressive Symptoms and the clinician-rated 17-item Hamilton Rating Scale for Depression. Through analyzing CHRT-SR12 changes over eight treatment weeks, the total score and both the factors decreased regardless of baseline suicidal thoughts. Change in clinician-rated suicidal thoughts was reflected by change in both the total score and propensity factor score. CONCLUSIONS/INTERPRETATION These results confirm the reliability, validity, and applicability of the CHRT-SR12 to a placebo-controlled clinical trial of depressed outpatients receiving antidepressant medication.
Collapse
Affiliation(s)
- Joseph M Trombello
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Michael O Killian
- 2 College of Social Work, Florida State University, Tallahassee, FL, USA
| | - Bruce D Grannemann
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Augustus John Rush
- 3 Department of Psychiatry, Duke Medical School, Durham, NC, USA.,5 Duke-National University of Singapore, Singapore
| | - Taryn L Mayes
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ramin V Parsey
- 6 Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| | - Melvin McInnis
- 7 Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Manish K Jha
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Aasia Ali
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Patrick J McGrath
- 8 Department of Psychiatry, Columbia University, New York, NY USA.,9 New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY USA
| | - Phil Adams
- 9 New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY USA
| | - Maria A Oquendo
- 10 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Myrna M Weissman
- 8 Department of Psychiatry, Columbia University, New York, NY USA.,9 New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY USA
| | - Thomas J Carmody
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Madhukar H Trivedi
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|