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Yanguela J, Pence BW, Udedi M, Banda JC, Kulisewa K, Zimba CC, Malava JK, Akiba C, Dussault JM, Morrison AM, Mphonda S, Hosseinipour MC, Gaynes BN, Wheeler SB. Implementation strategies to build mental health-care capacity in Malawi: a health-economic evaluation. Lancet Glob Health 2024; 12:e662-e671. [PMID: 38408461 PMCID: PMC10958395 DOI: 10.1016/s2214-109x(23)00597-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 02/28/2024]
Abstract
BACKGROUND Depression is a major contributor to morbidity and mortality in sub-Saharan Africa. Due to low system capacity, three in four patients with depression in sub-Saharan Africa go untreated. Despite this, little attention has been paid to the cost-effectiveness of implementation strategies to scale up evidence-based depression treatment in the region. In this study, we investigate the cost-effectiveness of two different implementation strategies to integrate the Friendship Bench approach and measurement-based care in non-communicable disease clinics in Malawi. METHODS The two implementation strategies tested in this study are part of a trial, in which ten clinics were randomly assigned (1:1) to a basic implementation package consisting of an internal coordinator acting as a champion (IC-only group) or to an enhanced package that complemented the basic package with quarterly external supervision, and audit and feedback of intervention delivery (IC + ES group). We included material costs, training costs, costs related to project-wide meetings, transportation and medication costs, time costs related to internal champion activities and depression screening or treatment, and costs of external supervision visits if applicable. Outcomes included the number of patients screened with the patient health questionnaire 2 (PHQ-2), cases of remitted depression at 3 and 12 months, and disability-adjusted life-years (DALYs) averted. We compared the cost-effectiveness of both packages to the status quo (ie, no intervention) using a micro-costing-informed decision-tree model. FINDINGS Relative to the status quo, IC + ES would be on average US$10 387 ($1349-$17 365) more expensive than IC-only but more effective in achieving remission and averting DALYs. The cost per additional remission would also be lower with IC + ES than IC-only at 3 months ($119 vs $223) and 12 months ($210 for IC + ES; IC-only dominated by the status quo at 12 months). Neither package would be cost-effective under the willingness-to-pay threshold of $65 per DALY averted currently used by the Malawian Ministry of Health. However, the IC + ES package would be cost-effective in relation to the commonly used threshold of three times per-capita gross domestic product per DALY averted. INTERPRETATION Investing in supporting champions might be an appropriate use of resources. Although not currently cost-effective by Malawian willingness-to-pay standards compared with the status quo, the IC + ES package would probably be a cost-effective way to build mental health-care capacity in resource-constrained settings in which decision makers use higher willingness-to-pay thresholds. FUNDING National Institute of Mental Health.
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Affiliation(s)
- Juan Yanguela
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Brian W Pence
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael Udedi
- Non-Communicable Diseases and Mental Health Division, Malawi Ministry of Health and Population, Department of Clinical Services, Lilongwe, Malawi
| | - Jonathan Chiwanda Banda
- Non-Communicable Diseases and Mental Health Division, Malawi Ministry of Health and Population, Department of Clinical Services, Lilongwe, Malawi
| | - Kazione Kulisewa
- Department of Mental Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | | | - Jullita K Malava
- Malawi Epidemiology and Intervention Research Unit, Chilumba, Karonga District, Malawi
| | | | | | - Abigail M Morrison
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Steve Mphonda
- University of North Carolina Project-Malawi, Lilongwe, Malawi
| | - Mina C Hosseinipour
- University of North Carolina Project-Malawi, Lilongwe, Malawi; Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Bradley N Gaynes
- Division of Global Mental Health, Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Stephanie B Wheeler
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
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Schneider BC, Veckenstedt R, Karamatskos E, Ahlf-Schumacher J, Gehlenborg J, Schultz J, Moritz S, Jelinek L. Efficacy and moderators of metacognitive training for depression in older adults (MCT-Silver): A randomized controlled trial. J Affect Disord 2024; 345:320-334. [PMID: 37865342 DOI: 10.1016/j.jad.2023.10.118] [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: 03/20/2023] [Revised: 09/28/2023] [Accepted: 10/16/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND Up to 79 % of older adults with depression do not receive treatments commensurate with guideline recommendations. Metacognitive Training-Silver (MCT-Silver) is a low-intensity group training, which aims to reduce depressive symptoms by targeting (meta)cognitive beliefs. METHODS A randomized controlled trial comparing MCT-Silver (n = 41) to cognitive remediation (n = 39) was conducted with older adults with major depressive disorder and/or dysthymia. Clinician-rated depression (Hamilton Depression Rating Scale [HDRS, primary outcome]), self-reported depression (Beck Depression Inventory-II [BDI-II]), negative cognitive beliefs, positive metacognitive beliefs, rumination, health status, quality of life, and neurocognitive functioning were assessed at baseline, eight weeks (post) and three months (follow-up). RESULTS Both groups demonstrated moderate to large reductions in depression. No superior effects of MCT-Silver on clinician-rated depression (HDRS) were detected. MCT-Silver led to greater reductions in self-reported depression and rumination at post- and follow-up. Despite this, scores at post- and follow-up assessments were similar for both groups. MCT-Silver's effect on depressive symptoms was moderated by baseline rumination, positive metacognitive beliefs and previous treatment experience. MCT-Silver was evaluated as superior according to patient appraisals. LIMITATIONS Conclusions are limited by divergent findings on measures of depression and that the study was conducted during the COVID-19 pandemic. CONCLUSIONS Whereas no superior effect of MCT-Silver was found for the primary outcome, there was a significant effect of MCT-Silver for self-reported depression and rumination. Patients endorsing rumination and positive metacognitive beliefs as well as those without previous psychological treatment may benefit more from MCT-Silver.
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Affiliation(s)
- Brooke C Schneider
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.
| | - Ruth Veckenstedt
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Evangelos Karamatskos
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Jana Ahlf-Schumacher
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Josefine Gehlenborg
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Josephine Schultz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Lena Jelinek
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
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Li X, Yi X, Lu L, Wang H, Zheng Y, Han M, Wang Q. TSFFM: Depression detection based on latent association of facial and body expressions. Comput Biol Med 2024; 168:107805. [PMID: 38064845 DOI: 10.1016/j.compbiomed.2023.107805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 01/10/2024]
Abstract
Depression is a prevalent mental disorder worldwide. Early screening and treatment are crucial in preventing the progression of the illness. Existing emotion-based depression recognition methods primarily rely on facial expressions, while body expressions as a means of emotional expression have been overlooked. To aid in the identification of depression, we recruited 156 participants for an emotional stimulation experiment, gathering data on facial and body expressions. Our analysis revealed notable distinctions in facial and body expressions between the case group and the control group and a synergistic relationship between these variables. Hence, we propose a two-stream feature fusion model (TSFFM) that integrates facial and body features. The central component of TSFFM is the Fusion and Extraction (FE) module. In contrast to conventional methods such as feature concatenation and decision fusion, our approach, FE, places a greater emphasis on in-depth analysis during the feature extraction and fusion processes. Firstly, within FE, we carry out local enhancement of facial and body features, employing an embedded attention mechanism, eliminating the need for original image segmentation and the use of multiple feature extractors. Secondly, FE conducts the extraction of temporal features to better capture the dynamic aspects of expression patterns. Finally, we retain and fuse informative data from different temporal and spatial features to support the ultimate decision. TSFFM achieves an Accuracy and F1-score of 0.896 and 0.896 on the depression emotional stimulus dataset, respectively. On the AVEC2014 dataset, TSFFM achieves MAE and RMSE values of 5.749 and 7.909, respectively. Furthermore, TSFFM has undergone testing on additional public datasets to showcase the effectiveness of the FE module.
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Affiliation(s)
- Xingyun Li
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China
| | - Xinyu Yi
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China
| | - Lin Lu
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China
| | - Hao Wang
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China
| | - Yunshao Zheng
- Shandong Mental Health Center, Shandong University, Jinan, China
| | - Mengmeng Han
- Advanced Technology Research Institute, Beijing Institute of Technology, Jinan, China
| | - Qingxiang Wang
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Mental Health Center, Shandong University, Jinan, China; Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China.
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Yimer TM, Chan GCK, Belete H, Hides L, Leung J. Treatment-seeking behavior and barriers to mental health service utilization for depressive symptoms and hazardous drinking: The role of religious and traditional healers in mental healthcare of Northwest Ethiopia. Glob Ment Health (Camb) 2023; 10:e92. [PMID: 38179466 PMCID: PMC10765018 DOI: 10.1017/gmh.2023.88] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 11/24/2023] [Accepted: 12/13/2023] [Indexed: 01/06/2024] Open
Abstract
Understanding mental healthcare seeking and associated factors is essential for planning mental health services. This study aimed to assess treatment seeking and barriers to care for depressive symptoms and hazardous drinking in a community sample of Northwest Ethiopia. A cross-sectional study was conducted to screen 1,728 participants for depressive symptoms (n = 414) and hazardous drinking (n = 155). Participants were asked whether they had sought mental healthcare. We also assessed the barriers to seeking mental healthcare. Logistic regression was used to identify associated factors. Among people with depressive symptoms, 14.3%, 15.5%, and 19.6% sought treatment from healthcare settings, non-healthcare settings, or any sources, respectively. Religious places (39.5%) were the most helpful treatment sources. People with low levels of internalized stigma (adj OR = 3.00 [1.41, 6.42]) and positive attitudes towards mental illness (adj OR = 2.84 [1.33, 6.07]) were nearly threefold more likely to seek depression treatment. No participants with hazardous drinking sought treatment from healthcare settings, and only 1.3% had sought help from families/friends. Over 97% of participants with depressive symptoms and hazardous drinking reported at least one barrier to treatment-seeking from a healthcare setting. Religious and traditional healers were as important as healthcare settings for treatment-seeking.
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Affiliation(s)
- Tesfa Mekonen Yimer
- School of Psychology, The University of Queensland, Brisbane, Australia
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia
- Psychiatry Department, Bahir Dar University, Bahir Dar, Ethiopia
| | - Gary CK Chan
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia
| | - Habte Belete
- School of Psychology, The University of Queensland, Brisbane, Australia
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia
- Psychiatry Department, Bahir Dar University, Bahir Dar, Ethiopia
| | - Leanne Hides
- School of Psychology, The University of Queensland, Brisbane, Australia
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia
| | - Janni Leung
- School of Psychology, The University of Queensland, Brisbane, Australia
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia
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Lopes RT, da Rocha GC, Svacina MA, Meyer B, Šipka D, Berger T. Effectiveness of an Internet-Based Self-Guided Program to Treat Depression in a Sample of Brazilian Users: Randomized Controlled Trial. JMIR Form Res 2023; 7:e46326. [PMID: 37590052 PMCID: PMC10472176 DOI: 10.2196/46326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/24/2023] [Accepted: 06/14/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND Depression is undertreated in Brazil. Deprexis is a self-guided internet-based program used to treat depressive symptoms based on empirically supported integrative and cognitive behavioral therapy. Evidence from a meta-analysis supports Deprexis' efficacy in German-speaking countries and the United States, but no study has been conducted using this program in countries with low literacy rates and large social disparities. Furthermore, few studies have investigated whether internet-based interventions ameliorate the psychological processes that might underlie depressive symptomatology, such as low perceived self-efficacy. OBJECTIVE The main objective of this study was to replicate in Brazil previously reported effects of Deprexis on depressive symptom reduction. Therefore, the main research question was whether Deprexis is effective in reducing depressive symptoms and the general psychological state in Brazilian users with moderate and severe depression in comparison with a control group that does not receive access to Deprexis. A secondary research question was whether the use of Deprexis affects perceptions of self-efficacy. METHODS We interviewed 312 participants recruited over the internet and randomized 189 participants with moderate to severe depression (according to the Patient Health Questionnaire-9 and a semistructured interview) to an intervention condition (treatment as usual plus immediate access to Deprexis for 90 days, n=94) or to a control condition (treatment as usual and delayed access to Deprexis, after 8 weeks, n=95). RESULTS Participants from the immediate access group logged in at Deprexis an average of 14.81 (SD 12.16) times. The intention-to-treat analysis using a linear mixed model showed that participants who received Deprexis improved significantly more than participants assigned to the delayed access control group on the primary depression self-assessment measure (Patient Health Questionnaire-9; Cohen d=0.80; P<.001) and secondary outcomes, such as general psychological state measure (Clinical Outcome in Routine Evaluation-Outcome Measurement; Cohen d=0.82; P<.001) and the perceived self-efficacy measure (Cohen d=0.63; P<.001). The intention-to-treat analyses showed that 21% (20/94) of the participants achieved remission compared with 7% (7/95) in the control group (P<.001). The deterioration rates were lower in the immediate access control group. The dropout rate was high, but no differences in demographic and clinical variables were found. Participants reported a medium to high level of satisfaction with Deprexis. CONCLUSIONS These results replicate previous findings by showing that Deprexis can facilitate symptomatic improvement over 3 months in depressed samples of Brazilian users. From a public health perspective, this is important information to expand the reach of internet-based interventions for those who really need them, especially in countries with less access to mental health care. This extends previous research by showing significant effects on perceived self-efficacy. TRIAL REGISTRATION Registro Brasileiro de Ensaios Clíncos (ReBec) RBR-6kk3bx UTN U1111-1212-8998; https://ensaiosclinicos.gov.br/rg/RBR-6kk3bx/. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1590/1516-4446-2019-0582.
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Eder J, Dom G, Gorwood P, Kärkkäinen H, Decraene A, Kumpf U, Beezhold J, Samochowiec J, Kurimay T, Gaebel W, De Picker L, Falkai P. Improving mental health care in depression: A call for action. Eur Psychiatry 2023; 66:e65. [PMID: 37534402 PMCID: PMC10486253 DOI: 10.1192/j.eurpsy.2023.2434] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 06/20/2023] [Accepted: 06/29/2023] [Indexed: 08/04/2023] Open
Abstract
Depressive disorders have one of the highest disability-adjusted life years (DALYs) of all medical conditions, which led the European Psychiatric Association to propose a policy paper, pinpointing their unmet health care and research needs. The first part focuses on what can be currently done to improve the care of patients with depression, and then discuss future trends for research and healthcare. Through the narration of clinical cases, the different points are illustrated. The necessary political framework is formulated, to implement such changes to fundamentally improve psychiatric care. The group of European Psychiatrist Association (EPA) experts insist on the need for (1) increased awareness of mental illness in primary care settings, (2) the development of novel (biological) markers, (3) the rapid implementation of machine learning (supporting diagnostics, prognostics, and therapeutics), (4) the generalized use of electronic devices and apps into everyday treatment, (5) the development of the new generation of treatment options, such as plasticity-promoting agents, and (6) the importance of comprehensive recovery approach. At a political level, the group also proposed four priorities, the need to (1) increase the use of open science, (2) implement reasonable data protection laws, (3) establish ethical electronic health records, and (4) enable better healthcare research and saving resources.
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Affiliation(s)
- Julia Eder
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Graduate Program “POKAL - Predictors and Outcomes in Primary Care Depression Care” (DFG-GrK 2621), Munich, Germany
| | - Geert Dom
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Philip Gorwood
- Université Paris Cité, GHU Paris (Sainte Anne hospital, CMME) & INSERM UMR1266, Paris, France
| | - Hikka Kärkkäinen
- Global Alliance of Mental Illness Advocacy Networks-Europe, Brussels, Belgium
| | - Andre Decraene
- EUFAMI, the European Organisation representing Families of persons affected by severe Mental Ill Health, Leuven, Belgium
| | - Ulrike Kumpf
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Julian Beezhold
- Norfolk and Suffolk NHS Foundation Trust, Norwich, UK, University of East Anglia, Norwich, UK
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | - Tamas Kurimay
- North-Central Buda Center, New Saint John Hospital and Outpatient Clinic, Buda Family Centered Mental Health Centre, Department of Psychiatry and Psychiatric Rehabilitation, Teaching Department of Semmelweis University, Budapest, Hungary
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-University, Düsseldorf, WHO Collaborating Centre DEU-131, Germany
| | - Livia De Picker
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Graduate Program “POKAL - Predictors and Outcomes in Primary Care Depression Care” (DFG-GrK 2621), Munich, Germany
- Max-Planck Institute of Psychiatry, Munich, Germany
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Keeler AR, Nydegger LA, Crano WD. Combatting negative bias: a mental contrasting and implementation intentions online intervention to increase help-seeking among individuals with elevated depressive symptomatology. Front Psychol 2023; 14:1145969. [PMID: 37397325 PMCID: PMC10310967 DOI: 10.3389/fpsyg.2023.1145969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 05/16/2023] [Indexed: 07/04/2023] Open
Abstract
Background There are many reasons why individuals with depression may not seek help. Among those with elevated depressive symptomatology, some previous interventions aimed at increasing help-seeking have unintentionally decreased help-seeking intentions. Beck's cognitive theory of depression posits that individuals with elevated depressive symptomatology process information differently from those without depression (i.e., increased cognitive errors, negative bias); potentially explaining the iatrogenic results of previous interventions. Mental contrasting and implementation intentions (MCII; a self-regulatory strategy) interventions have successfully influenced physical and mental health behaviors. However, MCII has not been used specifically for initiating help-seeking for depression. The goal of this research was to ascertain whether an online MCII intervention could increase actual help-seeking or the intention to seek help for depression. Method Two online randomized pre-post experiments were conducted to measure the primary outcome measures 2 weeks post-intervention (Study 1 collected Summer 2019: information-only control ["C"], help-seeking MCII intervention ["HS"], and comparison MCII intervention ["E"]; Study 2 collected Winter 2020: "C" and "HS"). At Time 1, adults recruited from MTurk had a minimum Beck Depression Inventory (BDI-II) score of 14 (mild depressive symptoms) and were not seeking professional help. Results Study 1 (N = 74) indicated that the intervention was feasible, provided preliminary support, and clarified intervention components for Study 2. Study 2 (N = 224) indicated that the HS group reported greater intentions to seek help and actual help-seeking than the C group. Proportionally, actual help-seeking was more likely among individuals who received the HS intervention and either did not perceive themselves as depressed at Time 2 or had BDI-II scores indicating that their depressive symptomatology decreased from Time 1. Limitations Participation was limited to US residents who self-reported data. Discussion These studies indicate that a brief online MCII intervention to encourage help-seeking is feasible and preliminarily successful. Future studies should consider using ecological momentary assessment measurements to establish the temporal precedence of intervention effects and whether MCII is effective for encouraging help-seeking among individuals prone to experiencing cognitive errors who may not be experiencing negative bias (e.g., bipolar disorder or anxiety). Clinicians may find this method successful in encouraging ongoing treatment engagement.
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Affiliation(s)
- Amanda R. Keeler
- Penn State Primary Care Research Laboratory, Department of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, United States
- Depression and Persuasion Research Laboratory, School of Social Science, Policy and Evaluation, Claremont Graduate University, Claremont, CA, United States
- Mood Disorder Research Lab, Department of Psychiatry and Behavioral Health, Penn State College of Medicine, Hershey, PA, United States
| | - Liesl A. Nydegger
- Department of Health, Behavior and Society, Johns Hopkins University, Baltimore, MD, United States
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, TX, United States
| | - William D. Crano
- Institute of Health Psychology and Prevention Science, School of Social Science, Policy and Evaluation, Claremont Graduate University, Claremont, CA, United States
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Grant JE, Chamberlain SR. Natural recovery in trichotillomania. Aust N Z J Psychiatry 2022; 56:1357-1362. [PMID: 34903086 PMCID: PMC7614802 DOI: 10.1177/00048674211066004] [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] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Trichotillomania is characterized by repetitive pulling out of one's hair, leading to distress and/or functional impairment. Long considered a chronic condition if left untreated (albeit with fluctuating intensity), there have been intimations that the disorder may be of limited duration in some people. METHODS A sample of 10,169 adults, aged 18-69 years, representative of the general US population, were recruited and screened for current and lifetime trichotillomania. Potential differences in demographic and clinical variables and lifetime comorbidities, between those with natural recovery from trichotillomania, and those with current trichotillomania, were identified using analysis of variance or likelihood-ratio chi-square tests as appropriate. Additional analyses using binary logistic regression were used to control for potential confounding differences between the groups initially identified. RESULTS In total, 24.9% of the entire sample of people with lifetime trichotillomania reported that they no longer had symptoms of trichotillomania and had never received therapy or medication treatment for it (i.e. they experienced natural recovery). Those who experienced natural recovery did not differ from those with current trichotillomania in terms of demographic or clinical characteristics, except that they were currently older. Natural recovery was associated with significantly lower rates of related comorbidities: obsessive-compulsive disorder, attention-deficit hyperactivity disorder, panic disorder, skin picking disorder and tic disorder. DISCUSSION These findings from the first epidemiology study examining natural recovery in trichotillomania highlight the importance of screening for and treating such comorbidities in patients with trichotillomania, in order to maximize chance of clinical recovery.
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Affiliation(s)
- Jon E Grant
- Department of Psychiatry & Behavioral Neuroscience, The University of Chicago, Chicago, IL, USA.,Pritzker School of Medicine, The University of Chicago, Chicago, IL, USA
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Hollar SM, Siegel JT. Increasing help-seeking among people with depression by self-distancing using mental time-travel. J Ment Health 2022; 32:575-581. [DOI: 10.1080/09638237.2022.2118684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Sara M. Hollar
- Department of Behavioral and Organizational Studies, Claremont Graduate University, Claremont, USA
| | - Jason T. Siegel
- Department of Behavioral and Organizational Studies, Claremont Graduate University, Claremont, USA
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Asano K, Tsuchiya M, Okamoto Y, Ohtani T, Sensui T, Masuyama A, Isato A, Shoji M, Shiraishi T, Shimizu E, Irons C, Gilbert P. Benefits of group compassion-focused therapy for treatment-resistant depression: A pilot randomized controlled trial. Front Psychol 2022; 13:903842. [PMID: 36033032 PMCID: PMC9415126 DOI: 10.3389/fpsyg.2022.903842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/15/2022] [Indexed: 11/14/2022] Open
Abstract
Major depression is one of the most common mental health problems worldwide. More than one-third of patients suffer from treatment-resistant depression (TRD). In this study, we explored the feasibility of group compassion-focused therapy (CFT) for TRD using a randomized controlled trial with two parallel groups. Eighteen participants were randomly allocated to the intervention group (CFT and usual care) and control group (usual care alone) and a participant in each group withdrew. Participants in the intervention group received a 1.5-h session every week for 12 weeks. The effects of the intervention on the participants' scores were calculated using a linear mixed model. There was a larger reduction in their depressive symptoms and fears of compassion for self and a greater increase in their compassion for self compared to the control group participants. The reliable clinical indices showed that in the CFT (intervention) group, three of nine participants recovered (33%), two improved (22%), two recovered but non-reliably (22%), and the condition of two remained unchanged (22%). These findings indicate adequate feasibility of group CFT for TRD in Japanese clinical settings. Clinical trial registration [https://clinicaltrials.gov/], identifier [UMIN 000028698].
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Affiliation(s)
- Kenichi Asano
- Department of Psychological Counseling, Faculty of Psychology, Mejiro University, Tokyo, Japan
- The Japanese Centre for Compassionate Mind Research and Training, Tokyo, Japan
| | | | - Yoko Okamoto
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | | | - Toshihiko Sensui
- Department of Psychology, Faculty of Humanities, Saitama Gakuen University, Saitama, Japan
| | | | - Ayako Isato
- Department of Psychology, Faculty of Humanities, Saitama Gakuen University, Saitama, Japan
| | - Masami Shoji
- Department of Psychological Counseling, Faculty of Psychology, Mejiro University, Tokyo, Japan
| | | | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | | | - Paul Gilbert
- Centre for Compassion Research and Training, College of Health, Psychology and Social Care, University of Derby, Derby, United Kingdom
- The Compassionate Mind Foundation, Derby, United Kingdom
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Assessing the Relationships between Internet Addiction, Depression, COVID-19-Related Fear, Anxiety, and Suspicion among Graduate Students in Educational Administration: A Structural Equation Modeling Analysis. SUSTAINABILITY 2022. [DOI: 10.3390/su14095356] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
This study aims to examine the relationships between Internet addiction, depression, COVID-19-related fear, anxiety, and suspicion in graduate students. A total of 482 students pursuing a master’s degree in educational administration participated in the study, which was designed according to the relational survey model. The data of the study were collected using online questionnaires, and the proposed hypotheses were tested and analyzed using structural equation modeling (SEM). The results of the study revealed that COVID-19-related suspicion positively and significantly predicted COVID-19-related fear and anxiety. In this context, the increased suspicion of graduate students due to COVID-19 also increased their fear and COVID-19-related anxiety, and this increased the possibility that they would exhibit depressive behaviors. However, a positive and significant relationship was found between COVID-19-related suspicion and depression. This result confirms that the increased suspicion of the participant students due to COVID-19 led to an increase in their depression scores. SEM results have shown a positive relationship between fear and anxiety related to COVID-19 and Internet addiction, and that the increase in students’ anxiety and fear levels also increases their Internet addiction levels. In addition, the results of the study revealed that depression has a negligible indirect effect on the relationship between COVID-19-related fear, anxiety, and suspicion and Internet addiction. In conclusion, the proposed hypothetical model is confirmed after having examined the relationships among depression, Internet addiction, COVID-19-related fear and anxiety, and suspicion.
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