1
|
He Y, Wang X, Wang Z, Zhang P, Huang X, Yu M, Murphy JK, Michalak EE, Liu J, Yang T, Yang X, Fang Y, Lam RW, Chen J. Comparison of the Efficacy Between Standard Measurement-Base Care (MBC) and Enhanced MBC for Major Depressive Disorder: A Pilot Study. Neuropsychiatr Dis Treat 2024; 20:1465-1473. [PMID: 39100573 PMCID: PMC11296504 DOI: 10.2147/ndt.s468332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 07/15/2024] [Indexed: 08/06/2024] Open
Abstract
Purpose To validate the efficacy of enhanced measurement-based care against standard measurement-based care in patients with major depressive disorder. Patients and Methods In this pilot study of an ongoing multicenter cluster randomized controlled trails, 160 patients diagnosed with major depressive disorder were enrolled from 2 mental health centers, with a plan to include 12 centers in total. One hundred patients engaged in a six-month evaluation using a technology-enhanced measurement-based care tool, including assessments of clinical symptoms, side effects, and functionality at baseline, two months, four months and six months. Simultaneously, the remaining 60 patients underwent standard paper-based measurement-based care, utilizing the same set of scales over the same six-month period, with assessments at the same time points. Results Patients utilizing the enhanced measurement-based care tool demonstrated a significantly higher reduction rate in PHQ-9 scores compared to those using standard paper-based measurement-based care during the two-month follow-up. Additionally, a notable positive correlation was observed between the frequency of enhanced measurement-based care tool usage and the quality of life during the two-month follow-up. Conclusion Enhanced measurement-based care has the effect of reducing depressive symptoms. Our study emphasized that using enhanced measurement-based care via smartphones is a feasible tool for patients with major depressive disorder. Our future study, including results from additional research centers, may further validate the effectiveness of enhanced measurement-based care.
Collapse
Affiliation(s)
- Yuru He
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - Xing Wang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - Zuowei Wang
- Division of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai, People’s Republic of China
- Clinical Research Center for Mental Health, School of Medicine, Shanghai University, Shanghai, People’s Republic of China
| | - Ping Zhang
- Fengxian District Mental Health Center, Shanghai, People’s Republic of China
| | - Xiaojia Huang
- Division of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai, People’s Republic of China
- Clinical Research Center for Mental Health, School of Medicine, Shanghai University, Shanghai, People’s Republic of China
| | - Meihong Yu
- Fengxian District Mental Health Center, Shanghai, People’s Republic of China
| | - Jill K Murphy
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Erin E Michalak
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Jing Liu
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Tao Yang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - Xiaorui Yang
- Department of Psychology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Yiru Fang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, People’s Republic of China
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Jun Chen
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| |
Collapse
|
2
|
Pahwa M, McElroy SL, Priesmeyer R, Siegel G, Siegel P, Nuss S, Bowden CL, El-Mallakh RS. KIOS: A smartphone app for self-monitoring for patients with bipolar disorder. Bipolar Disord 2024; 26:84-92. [PMID: 37340215 PMCID: PMC10730767 DOI: 10.1111/bdi.13362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
OBJECTIVES This study examined the use of a self-monitoring/self-management smartphone application (app) for patients with bipolar disorder. The app was specifically designed with patient-centered computational software system based on concepts from nonlinear systems (chaos) theory. METHODS This was a randomized, active comparator study of use of the KIOS app compared to an existing free app that has high utilization rates known as eMoods, over 52 weeks, and performed in three academic centers. Patients were evaluated monthly utilizing the Bipolar Inventory of Symptoms Schedule (BISS). The primary outcome measure was the persistence of using the app over the year of the study. RESULTS Patients assigned to KIOS persisted in the study longer than those assigned to eMoods; 57 patients (87.70%) in the KIOS group versus 42 (73.69%) in the eMoods group completed the study (p = 0.03). By 52 weeks, significantly more of KIOS group (84.4%) versus eMoods group (54%) entered data into their programs (χ2 = 14.2, df = 1, p = 0.0002). Patient satisfaction for KIOS was greater (F = 5.21, df = 1, 108, p = 0.025) with a standardized effect size (Cohen's d) of 0.41. There was no difference in clinical outcome at the end of the study between the two groups. CONCLUSIONS This is the first randomized comparison study comparing two apps for the self-monitoring/self-management of bipolar disorder. The study revealed greater patient satisfaction and greater adherence to a patient-centered software program (KIOS) than a monitoring program that does not provide feedback (eMoods).
Collapse
Affiliation(s)
- Mehak Pahwa
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
| | - Susan L. McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio
| | - Richard Priesmeyer
- Jurica Professor of Management, Department of Management and Marketing, St Mary’s University, San Antonio, Texas
| | - Gregg Siegel
- Biomedical Development Corporation, San Antonio, Texas
| | | | - Sharon Nuss
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
| | - Charles L Bowden
- Deceased, previously Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Rif S. El-Mallakh
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
| |
Collapse
|
3
|
Faurholt-Jepsen M, Busk J, Tønning ML, Bardram JE, Frost M, Vinberg M, Kessing LV. Irritability in bipolar disorder and unipolar disorder measured daily using smartphone-based data: An exploratory post hoc study. Acta Psychiatr Scand 2023; 147:593-602. [PMID: 37094823 DOI: 10.1111/acps.13558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/06/2023] [Accepted: 04/10/2023] [Indexed: 04/26/2023]
Abstract
OBJECTIVE To investigate (i) the proportions of time with irritability and (ii) the association between irritability and affective symptoms and functioning, stress, and quality of life in patients with bipolar disorder (BD) and unipolar depressive disorder (UD). METHODS A total of 316 patients with BD and 58 patients with UD provided self-reported once-a-day data on irritability and other affective symptoms using smartphones for a total of 64,129 days with observations. Questionnaires on perceived stress and quality of life and clinical evaluations of functioning were collected multiple times during the study. RESULTS During a depressive state, patients with UD spent a significantly higher proportion of time with presence of irritability (83.10%) as compared with patients with BD (70.27%) (p = 0.045). Irritability was associated with lower mood, activity level and sleep duration and with increased stress and anxiety level, in both patient groups (p-values<0.008). Increased irritability was associated with impaired functioning and increased perceived stress (p-values<0.024). In addition, in patients with UD, increased irritability was associated with decreased quality of life (p = 0.002). The results were not altered when adjusting for psychopharmacological treatments. CONCLUSIONS Irritability is an important part of the symptomatology in affective disorders. Clinicians could have focus on symptoms of irritability in both patients with BD and UD during their course of illness. Future studies investigating treatment effects on irritability would be interesting.
Collapse
Affiliation(s)
- Maria Faurholt-Jepsen
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Frederiksberg hospital, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Busk
- Department of Energy Conversion and Storage, Technical University of Denmark, Lyngby, Denmark
| | - Morten Lindberg Tønning
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Frederiksberg hospital, Frederiksberg, Denmark
| | - Jakob Eyvind Bardram
- Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | | | - Maj Vinberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Psychiatric Center Northern Zealand, Hilleroed, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Frederiksberg hospital, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
4
|
Singh L, Ahmed Pihlgren S, Holmes EA, Moulds ML. Using a daily diary for monitoring intrusive memories of trauma: A translational data synthesis study exploring convergent validity. Int J Methods Psychiatr Res 2023; 32:e1936. [PMID: 35976618 PMCID: PMC9976599 DOI: 10.1002/mpr.1936] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 06/16/2022] [Accepted: 08/01/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Intrusive memories are a core feature of posttraumatic stress disorder and have transdiagnostic relevance across mental disorders. Establishing flexible methods to monitor intrusions, including patterns and characteristics, is a key challenge. A daily diary has been developed in experimental settings to provide symptom count data, without the need for retrospective self-report over extended time periods (e.g., 1 week, 1 month). We conducted an exploratory, pre-registered data synthesis investigating convergence between the diary and questionnaire measures of intrusive symptoms long used in clinical practice (Impact of Event Scale, IES, and revised version, IES-R, Intrusion subscale). RESULTS Utilising datasets using the daily diary from 11 studies (4 real-world trauma studies, seven analogue trauma studies; total N = 578), we found significant positive associations between the diary and IES/IES-R Intrusion subscale. Exploratory analyses indicated that the magnitude of this association was stronger for the IES (vs. the IES-R), and in individuals with real-world (vs. analogue) trauma. CONCLUSION This study provides first evidence of convergent validity of a daily diary for monitoring intrusions with a widely used questionnaire. A diary may be a more flexible methodology to obtain information about intrusions (frequency, characteristics, triggers, content), relative to questionnaires which rely on retrospective reporting of symptoms over extended timeframes. We discuss potential benefits of daily monitoring of intrusions in clinical and research contexts.
Collapse
Affiliation(s)
- Laura Singh
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Swedish Collegium for Advanced Study, Uppsala, Sweden
| | | | - Emily A Holmes
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Michelle L Moulds
- School of Psychology, UNSW Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
5
|
Psychometric Evaluation of The Irritability Scale-Initial Version in Chinese Cancer Patients. Nurs Res 2023; 72:49-57. [PMID: 35997690 DOI: 10.1097/nnr.0000000000000615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Irritability is a common experience of depressed Chinese patients but is understudied and poorly measured. OBJECTIVE We aimed to assess psychometric properties of a new measure of irritability in Chinese cancer patients across the social and political spectrum. METHODS The Irritability Scale-Initial Version (TISi) was translated into Chinese and tested in two samples of Chinese cancer patients undergoing treatments: 52 patients in Beijing, China, between 2018 and 2019 and 65 patients in Taipei, Taiwan, in 2020. RESULTS The Chinese version of TISi demonstrated high internal consistency, high reliability based on the split-half method in the two samples, and satisfactory discriminant validity using the Chinese version of the 17-item Hamilton Rating Scale for Depression and the seven-item depression subscale of the Hospital Anxiety and Depression Scale in the Beijing sample. A confirmatory factor analysis produced factor loadings in both samples, which resembled a sample of American cancer patients. Three TISi items were loaded more highly on the physical instead of the original behavioral subscale in the Beijing sample. A possible influence of cultures was explained. CONCLUSION The Chinese version of TISi has satisfactory psychometric properties for assessing the level of irritability in Chinese cancer patients. Future large-sample studies are needed to further determine TISi's factorial structure, test-retest reliability, sensitivity to change, and predictive validity for depression in Chinese cancer patients.
Collapse
|
6
|
Chiauzzi E, Wicks P. Beyond the Therapist's Office: Merging Measurement-Based Care and Digital Medicine in the Real World. Digit Biomark 2021; 5:176-182. [PMID: 34723070 PMCID: PMC8460973 DOI: 10.1159/000517748] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 06/04/2021] [Indexed: 12/26/2022] Open
Abstract
This viewpoint focuses on the ways in which digital medicine and measurement-based care can be utilized in tandem to promote better assessment, patient engagement, and an improved quality of psychiatric care. To date, there has been an underutilization of digital measurement in psychiatry, and there is little discussion of the feedback and patient engagement process in digital medicine. Measurement-based care is a recognized evidence-based strategy that engages patients in an understanding of their outcome data. When implemented as designed, providers review the scores and trends in outcome immediately and then provide feedback to their patients. However, the process is typically confined to office visits, which does not provide a complete picture of a patient's progress and functioning. The process is labor intensive, even with digital feedback systems, but the integration of passive metrics obtained through wearables and apps can supplement office-based observations. This enhanced measurement-based care process can provide a picture of real-world patient functioning through passive metrics (activity, sleep, etc.). This can potentially engage patients more in their health data and involve a critically needed therapeutic alliance component in digital medicine.
Collapse
Affiliation(s)
| | - Paul Wicks
- Wicks Digital Health, Ltd., Lichfield, United Kingdom
| |
Collapse
|
7
|
Chan EC, Sun Y, Aitchison KJ, Sivapalan S. Mobile App-Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review. JMIR Form Res 2021; 5:e13770. [PMID: 33416510 PMCID: PMC7822726 DOI: 10.2196/13770] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 01/13/2020] [Accepted: 10/02/2020] [Indexed: 01/21/2023] Open
Abstract
Background Bipolar disorder is a chronic, progressive illness characterized by recurrent episodes of mania and depression. Self-report scales have historically played a significant role in the monitoring of bipolar symptoms. However, these tools rely on episodic memory, which can be unreliable and do not allow the clinician to monitor brief episodic symptoms or the course of symptoms over shorter periods of time. Mobile app–based questionnaires have been suggested as a tool to improve monitoring of patients with bipolar disorder. Objective This paper aims to determine the feasibility and validity of mobile app–based self-report questionnaires. Methods We performed a systematic review of the literature according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The PubMed, PsycInfo, Web of Science, Ovid MEDLINE, and EMBASE databases were searched for papers published in English that assessed adherence to and the validity of mobile app–based self-report questionnaires. Relevant studies published from database creation to May 22, 2020, were identified, and results examining the validity of and rates of adherence to app-based self-report questionnaires are reported. Results A total of 13 records were identified for inclusion in this review. Of these studies, 4 assessed the concurrent validity of mobile app–based self-report tools, with the majority of findings indicating significant associations between data collected using these tools and the Young Mania Rating Scale, Hamilton Depression Rating Scale-17, or Montgomery-Åsberg Depression Rating Scale (P<.001 to P=.24). Three studies comparing the variability or range of symptoms between patients with bipolar disorder and healthy controls suggested that these data are capable of differentiating between known groups. Two studies demonstrated statistically significant associations between data collected via mobile app–based self-report tools and instruments assessing other clinically important factors. Adherence rates varied across the studies examined. However, good adherence rates (>70%) were observed in all but 1 study using a once-daily assessment. There was a wide range of adherence rates observed in studies using twice-daily assessments (42%-95%). Conclusions These findings suggest that mobile app–based self-report tools are valid in the assessment of symptoms of mania and depression in euthymic patients with bipolar disorder. Data collected using these tools appear to differ between patients with bipolar disorder and healthy controls and are significantly associated with other clinically important measures. It is unclear at this time whether these tools can be used to detect acute episodes of mania or depression in patients with bipolar disorder. Adherence data indicate that patients with bipolar disorder show good adherence to self-report assessments administered daily for the duration of the study periods evaluated.
Collapse
Affiliation(s)
- Eric C Chan
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Yuting Sun
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | | | | |
Collapse
|
8
|
Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals. Eur Child Adolesc Psychiatry 2021; 30:1209-1221. [PMID: 32743692 PMCID: PMC8310852 DOI: 10.1007/s00787-020-01611-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 07/27/2020] [Indexed: 02/07/2023]
Abstract
Diagnostic evaluations and early interventions of patients with bipolar disorder (BD) rely on clinical evaluations. Smartphones have been proposed to facilitate continuous and fine-grained self-monitoring of symptoms. The present study aimed to (1) validate daily smartphone-based self-monitored mood, activity, and sleep, against validated questionnaires and clinical ratings in young patients with newly diagnosed BD, unaffected relatives (UR), and healthy controls persons (HC); (2) investigate differences in daily smartphone-based self-monitored mood, activity, and sleep in young patients with newly diagnosed BD, UR, and HC; (3) investigate associations between self-monitored mood and self-monitored activity and sleep, respectively, in young patients with newly diagnosed BD. 105 young patients with newly diagnosed BD, 24 UR and 77 HC self-monitored 2 to 1077 days (median [IQR] = 65 [17.5-112.5]). There was a statistically significantly negative association between the mood item on Hamilton Depression Rating Scale (HAMD) and smartphone-based self-monitored mood (B = - 0.76, 95% CI - 0.91; - 0.63, p < 0.001) and between psychomotor item on HAMD and self-monitored activity (B = - 0.44, 95% CI - 0.63; - 0.25, p < 0.001). Smartphone-based self-monitored mood differed between young patients with newly diagnosed BD and HC (p < 0.001), and between UR and HC (p = 0.008) and was positively associated with smartphone-based self-reported activity (p < 0.001) and sleep duration (p < 0.001). The findings support the potential of smartphone-based self-monitoring of mood and activity as part of a biomarker for young patients with BD and UR. Smartphone-based self-monitored mood is better to discriminate between young patients with newly diagnosed BD and HC, and between UR and HC, compared with smartphone-based activity and sleep.Trial registration clinicaltrials.gov NCT0288826.
Collapse
|
9
|
McIntyre RS, Berk M, Brietzke E, Goldstein BI, López-Jaramillo C, Kessing LV, Malhi GS, Nierenberg AA, Rosenblat JD, Majeed A, Vieta E, Vinberg M, Young AH, Mansur RB. Bipolar disorders. Lancet 2020; 396:1841-1856. [PMID: 33278937 DOI: 10.1016/s0140-6736(20)31544-0] [Citation(s) in RCA: 393] [Impact Index Per Article: 98.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 06/11/2020] [Accepted: 07/07/2020] [Indexed: 12/17/2022]
Abstract
Bipolar disorders are a complex group of severe and chronic disorders that includes bipolar I disorder, defined by the presence of a syndromal, manic episode, and bipolar II disorder, defined by the presence of a syndromal, hypomanic episode and a major depressive episode. Bipolar disorders substantially reduce psychosocial functioning and are associated with a loss of approximately 10-20 potential years of life. The mortality gap between populations with bipolar disorders and the general population is principally a result of excess deaths from cardiovascular disease and suicide. Bipolar disorder has a high heritability (approximately 70%). Bipolar disorders share genetic risk alleles with other mental and medical disorders. Bipolar I has a closer genetic association with schizophrenia relative to bipolar II, which has a closer genetic association with major depressive disorder. Although the pathogenesis of bipolar disorders is unknown, implicated processes include disturbances in neuronal-glial plasticity, monoaminergic signalling, inflammatory homoeostasis, cellular metabolic pathways, and mitochondrial function. The high prevalence of childhood maltreatment in people with bipolar disorders and the association between childhood maltreatment and a more complex presentation of bipolar disorder (eg, one including suicidality) highlight the role of adverse environmental exposures on the presentation of bipolar disorders. Although mania defines bipolar I disorder, depressive episodes and symptoms dominate the longitudinal course of, and disproportionately account for morbidity and mortality in, bipolar disorders. Lithium is the gold standard mood-stabilising agent for the treatment of people with bipolar disorders, and has antimanic, antidepressant, and anti-suicide effects. Although antipsychotics are effective in treating mania, few antipsychotics have proven to be effective in bipolar depression. Divalproex and carbamazepine are effective in the treatment of acute mania and lamotrigine is effective at treating and preventing bipolar depression. Antidepressants are widely prescribed for bipolar disorders despite a paucity of compelling evidence for their short-term or long-term efficacy. Moreover, antidepressant prescription in bipolar disorder is associated, in many cases, with mood destabilisation, especially during maintenance treatment. Unfortunately, effective pharmacological treatments for bipolar disorders are not universally available, particularly in low-income and middle-income countries. Targeting medical and psychiatric comorbidity, integrating adjunctive psychosocial treatments, and involving caregivers have been shown to improve health outcomes for people with bipolar disorders. The aim of this Seminar, which is intended mainly for primary care physicians, is to provide an overview of diagnostic, pathogenetic, and treatment considerations in bipolar disorders. Towards the foregoing aim, we review and synthesise evidence on the epidemiology, mechanisms, screening, and treatment of bipolar disorders.
Collapse
Affiliation(s)
- Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Department of Pharmacology, University of Toronto, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada.
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation Strategic Research Centre, School of Medicine, Deakin University, Melbourne, VIC, Australia; Mental Health Drug and Alcohol Services, Barwon Health, Geelong, VIC, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia; Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health, Melbourne, VIC, Australia; Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Elisa Brietzke
- Department of Psychiatry, Adult Division, Kingston General Hospital, Kingston, ON, Canada; Department of Psychiatry, Queen's University School of Medicine, Queen's University, Kingston, ON, Canada; Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Benjamin I Goldstein
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Carlos López-Jaramillo
- Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín, Colombia; Mood Disorders Program, Hospital Universitario San Vicente Fundación, Medellín, Colombia
| | - Lars Vedel Kessing
- Copenhagen Affective Disorders Research Centre, Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark; Department of Psychiatry, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gin S Malhi
- Discipline of Psychiatry, Northern Clinical School, University of Sydney, Sydney, NSW, Australia; Department of Academic Psychiatry, Northern Sydney Local Health District, Sydney, Australia
| | | | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Amna Majeed
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Eduard Vieta
- Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Maj Vinberg
- Department of Psychiatry, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Psychiatric Research Unit, Psychiatric Centre North Zealand, Hillerød, Denmark
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London and South London and Maudsley National Health Service Foundation Trust, Bethlem Royal Hospital, London, UK
| | - Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
10
|
Wisiewski H, Torous J. Digital navigators to implement smartphone and digital tools in care. Acta Psychiatr Scand 2020; 141:350-355. [PMID: 31930477 PMCID: PMC7928068 DOI: 10.1111/acps.13149] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/08/2020] [Indexed: 12/12/2022]
Abstract
While smartphone apps and other digital health tools have the clear potential to increase both quality of and access to care, actual successful implementation remains limited. Challenges often encountered in seeking to use apps in care include selecting safe/effective tools, spending clinical time troubleshooting technology instead of discussing health matters, and lack of time to check and review constant streams of data these digital tools can produce. In this 'From Research to Clinical Practice' piece, we focus on how a new care team member, the digital navigator, can help overcome these barriers through conducting evidence-based app evaluation to help in selecting the right apps, troubleshooting technology outside of visits to improve the therapeutic alliance during, and finally summarizing digital data to facilitate clinical care that focus on actionable data.
Collapse
Affiliation(s)
- Hannah Wisiewski
- Division of Digital Psychiatry. Department of Psychiatry. Beth Israel Deaconess Medical Center. Harvard Medical School. Boston, MA, 02446
| | - John Torous
- Division of Digital Psychiatry. Department of Psychiatry. Beth Israel Deaconess Medical Center. Harvard Medical School. Boston, MA, 02446
| |
Collapse
|
11
|
Torous J. Measuring progress in measurement-based care with smartphone tools. Acta Psychiatr Scand 2019; 140:293-294. [PMID: 31535365 DOI: 10.1111/acps.13093] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/18/2019] [Indexed: 12/14/2022]
Affiliation(s)
- J Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| |
Collapse
|