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Wijnen J, Van 't Hullenaar G, Gordon NL, Pont ML, Geijselaers MWH, Van Oosterwijck J, De Jong J. An interdisciplinary multimodal integrative healthcare program for somatic symptom disorder, with predominant (spinal) pain. Psychother Res 2022; 33:581-594. [PMID: 36525631 DOI: 10.1080/10503307.2022.2144528] [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: 12/23/2022] Open
Abstract
OBJECTIVE Although multimodal interventions are generally recommended in patients with long-term somatic symptom disorders (SSD), available evidence is limited. The current study evaluates the effectiveness of an outpatient secondary care interdisciplinary multimodal integrative healthcare program for patients with SSD and predominant (spinal) pain. METHOD The healthcare program consisted of two active treatment phases: main 20-week program and a 12-month relapse prevention program. Participants were 4453 patients diagnosed with SSD. The primary outcome was health-related quality of life (HRQoL) assessed using the RAND-36 (i.e., mental/physical component summary) and secondary outcomes included physical and psychological symptoms assessed using the Brief Symptom Inventory (BSI) and RAND-36 subscales. Mixed linear models were used to examine the effects of the multimodal healthcare program on primary/secondary outcomes over four time points: before start 20-week program (T0), halfway 20-week program (T1), end of 20-week program (T2) and end of relapse prevention program (T3). RESULTS Significant improvements were found from T0 to T2 for all primary variables (i.e., mental/physical component summary) and secondary variables (i.e., BSI/RAND-36 subscales), which were maintained until the end of the relapse prevention program (T3). CONCLUSION An interdisciplinary multimodal integrative treatment for SSD is effective for improving HRQoL and reducing physical and psychological symptoms.
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Affiliation(s)
- Jaap Wijnen
- Intergrin Academy, Geleen, Netherlands.,Spine, Head and Pain Research Unit Ghent, Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Pain in Motion International Research Group, Belgium
| | | | | | | | | | - Jessica Van Oosterwijck
- Spine, Head and Pain Research Unit Ghent, Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Pain in Motion International Research Group, Belgium.,Center for InterProfessional Collaboration in Education Research and Practice (IPC-ERP UGent), Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jeroen De Jong
- Intergrin Academy, Geleen, Netherlands.,Department of Rehabilitation Medicine, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
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Hennemann S, Witthöft M, Kleinstäuber M, Böhme K, Baumeister H, Ebert DD, Probst T. Somatosensory amplification moderates the efficacy of internet-delivered CBT for somatic symptom distress in emerging adults: Exploratory analysis of a randomized controlled trial. J Psychosom Res 2022; 155:110761. [PMID: 35182889 DOI: 10.1016/j.jpsychores.2022.110761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 10/19/2022]
Abstract
OBJECTIVE While studies mainly provide positive evidence for the efficacy of internet-delivered cognitive-behavioral therapy (ICBT) for various persistent somatic symptoms, it remains largely unclear for whom these interventions work or not. This exploratory analysis aimed to identify moderators for the outcome between ICBT for somatic symptom distres and a waitlist control group (WL) in a vulnerable target group of emerging adults. METHODS Based on data from a randomized controlled trial on 156 university students with varying degrees of somatic symptom distress who were allocated to either an eight-week, therapist guided ICBT (iSOMA) or to the WL, we examined pretreatment demographic characteristics, health-related variables (e.g., somatic symptom duration), mental distress (e.g., depression, anxiety) and cognitive-emotional factors (emotional reactivity, somatosensory amplification) as candidate moderators of the outcome, somatic symptom distress (assessed by the Patient Health Questionnaire, PHQ-15) from pre- to posttreatment. RESULTS Somatosensory amplification (assessed by the Somatosensory Amplification Scale, SSAS) moderated the outcome in favor of iSOMA (B = -0.17, SE = 0.08, p = 0.031), i.e., higher pretreatment somatosensory amplification was associated with better outcome in the active compared to the control intervention. No significant moderation effects were found among demographic characteristics, health-related variables, or mental distress. CONCLUSION Our findings suggest that an internet-delivered CBT for somatic symptom distress should be preferred over no active treatment particularly in individuals with moderate to high levels of somatosensory amplification, which as a next step should be tested against further treatments and in clinical populations. TRIAL REGISTRATION German Clinical Trials Register (DRKS00014375).
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Affiliation(s)
- Severin Hennemann
- Johannes Gutenberg University Mainz, Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, Mainz, Germany.
| | - Michael Witthöft
- Johannes Gutenberg University Mainz, Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, Mainz, Germany
| | - Maria Kleinstäuber
- Utah State University, Emma Eccles Jones College of Education and Human Services, Department of Psychology, Logan (Utah), USA
| | - Katja Böhme
- Johannes Gutenberg University Mainz, Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, Mainz, Germany
| | - Harald Baumeister
- Ulm University, Department of Clinical Psychology and Psychotherapy, Ulm, Germany
| | - David Daniel Ebert
- Technical University of Munich, Department of Sport and Health Sciences, München, Germany
| | - Thomas Probst
- Danube University Krems, Department for Psychotherapy and Biopsychosocial Health, Krems, Austria
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3
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Goldstein LH, Robinson EJ, Pilecka I, Perdue I, Mosweu I, Read J, Jordan H, Wilkinson M, Rawlings G, Feehan SJ, Callaghan H, Day E, Purnell J, Baldellou Lopez M, Brockington A, Burness C, Poole NA, Eastwood C, Moore M, Mellers JD, Stone J, Carson A, Medford N, Reuber M, McCrone P, Murray J, Richardson MP, Landau S, Chalder T. Cognitive-behavioural therapy compared with standardised medical care for adults with dissociative non-epileptic seizures: the CODES RCT. Health Technol Assess 2021; 25:1-144. [PMID: 34196269 DOI: 10.3310/hta25430] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Dissociative (non-epileptic) seizures are potentially treatable by psychotherapeutic interventions; however, the evidence for this is limited. OBJECTIVES To evaluate the clinical effectiveness and cost-effectiveness of dissociative seizure-specific cognitive-behavioural therapy for adults with dissociative seizures. DESIGN This was a pragmatic, multicentre, parallel-arm, mixed-methods randomised controlled trial. SETTING This took place in 27 UK-based neurology/epilepsy services, 17 liaison psychiatry/neuropsychiatry services and 18 cognitive-behavioural therapy services. PARTICIPANTS Adults with dissociative seizures in the previous 8 weeks and no epileptic seizures in the previous year and meeting other eligibility criteria were recruited to a screening phase from neurology/epilepsy services between October 2014 and February 2017. After psychiatric assessment around 3 months later, eligible and interested participants were randomised between January 2015 and May 2017. INTERVENTIONS Standardised medical care consisted of input from neurologists and psychiatrists who were given guidance regarding diagnosis delivery and management; they provided patients with information booklets. The intervention consisted of 12 dissociative seizure-specific cognitive-behavioural therapy 1-hour sessions (plus one booster session) that were delivered by trained therapists, in addition to standardised medical care. MAIN OUTCOME MEASURES The primary outcome was monthly seizure frequency at 12 months post randomisation. The secondary outcomes were aspects of seizure occurrence, quality of life, mood, anxiety, distress, symptoms, psychosocial functioning, clinical global change, satisfaction with treatment, quality-adjusted life-years, costs and cost-effectiveness. RESULTS In total, 698 patients were screened and 368 were randomised (standardised medical care alone, n = 182; and cognitive-behavioural therapy plus standardised medical care, n = 186). Primary outcome data were obtained for 85% of participants. An intention-to-treat analysis with multivariate imputation by chained equations revealed no significant between-group difference in dissociative seizure frequency at 12 months [standardised medical care: median of seven dissociative seizures (interquartile range 1-35 dissociative seizures); cognitive-behavioural therapy and standardised medical care: median of four dissociative seizures (interquartile range 0-20 dissociative seizures); incidence rate ratio 0.78, 95% confidence interval 0.56 to 1.09; p = 0.144]. Of the 16 secondary outcomes analysed, nine were significantly better in the arm receiving cognitive-behavioural therapy at a p-value < 0.05, including the following at a p-value ≤ 0.001: the longest dissociative seizure-free period in months 7-12 inclusive post randomisation (incidence rate ratio 1.64, 95% confidence interval 1.22 to 2.20; p = 0.001); better psychosocial functioning (Work and Social Adjustment Scale, standardised treatment effect -0.39, 95% confidence interval -0.61 to -0.18; p < 0.001); greater self-rated and clinician-rated clinical improvement (self-rated: standardised treatment effect 0.39, 95% confidence interval 0.16 to 0.62; p = 0.001; clinician rated: standardised treatment effect 0.37, 95% confidence interval 0.17 to 0.57; p < 0.001); and satisfaction with treatment (standardised treatment effect 0.50, 95% confidence interval 0.27 to 0.73; p < 0.001). Rates of adverse events were similar across arms. Cognitive-behavioural therapy plus standardised medical care produced 0.0152 more quality-adjusted life-years (95% confidence interval -0.0106 to 0.0392 quality-adjusted life-years) than standardised medical care alone. The incremental cost-effectiveness ratio (cost per quality-adjusted life-year) for cognitive-behavioural therapy plus standardised medical care versus standardised medical care alone based on the EuroQol-5 Dimensions, five-level version, and imputed data was £120,658. In sensitivity analyses, incremental cost-effectiveness ratios ranged between £85,724 and £206,067. Qualitative and quantitative process evaluations highlighted useful study components, the importance of clinical experience in treating patients with dissociative seizures and potential benefits of our multidisciplinary care pathway. LIMITATIONS Unlike outcome assessors, participants and clinicians were not blinded to the interventions. CONCLUSIONS There was no significant additional benefit of dissociative seizure-specific cognitive-behavioural therapy in reducing dissociative seizure frequency, and cost-effectiveness over standardised medical care was low. However, this large, adequately powered, multicentre randomised controlled trial highlights benefits of adjunctive dissociative seizure-specific cognitive-behavioural therapy for several clinical outcomes, with no evidence of greater harm from dissociative seizure-specific cognitive-behavioural therapy. FUTURE WORK Examination of moderators and mediators of outcome. TRIAL REGISTRATION Current Controlled Trials ISRCTN05681227 and ClinicalTrials.gov NCT02325544. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 43. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Laura H Goldstein
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Emily J Robinson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Izabela Pilecka
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Iain Perdue
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Iris Mosweu
- King's Health Economics, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Julie Read
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Harriet Jordan
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Matthew Wilkinson
- Canterbury Christ Church University, Salamons Institute for Applied Psychology, Tunbridge Wells, UK.,South London and Maudsley NHS Foundation Trust, London, UK
| | - Gregg Rawlings
- School of Clinical Psychology, University of Sheffield, Sheffield, UK
| | - Sarah J Feehan
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hannah Callaghan
- Department of Clinical Neuroscience, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Elana Day
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - James Purnell
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maria Baldellou Lopez
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Brockington
- Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Norman A Poole
- Department of Neuropsychiatry, St George's Hospital, South West London and St George's NHS Mental Health NHS Trust, London, UK
| | - Carole Eastwood
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michele Moore
- Centre for Social Justice and Global Responsibility, School of Law and Social Sciences, London South Bank University, London, UK
| | | | - Jon Stone
- Department of Clinical Neuroscience, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Alan Carson
- Department of Clinical Neuroscience, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Nick Medford
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Markus Reuber
- Academic Neurology Unit, Royal Hallamshire Hospital, University of Sheffield, Sheffield, UK
| | - Paul McCrone
- King's Health Economics, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Joanna Murray
- Department of Health Services & Population Research, Institute of Psychiatry,Psychology and Neuroscience, King's College London, London, UK
| | - Mark P Richardson
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sabine Landau
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Trudie Chalder
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Shangguan F, Zhou C, Qian W, Zhang C, Liu Z, Zhang XY. A Conditional Process Model to Explain Somatization During Coronavirus Disease 2019 Epidemic: The Interaction Among Resilience, Perceived Stress, and Sex. Front Psychol 2021; 12:633433. [PMID: 34093314 PMCID: PMC8172608 DOI: 10.3389/fpsyg.2021.633433] [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: 11/25/2020] [Accepted: 03/29/2021] [Indexed: 01/15/2023] Open
Abstract
Background More than 15% of Chinese respondents reported somatic symptoms in the last week of January 2020. Promoting resilience is a possible target in crisis intervention that can alleviate somatization. Objectives This study aims to investigate the relationship between resilience and somatization, as well as the underlying possible mediating and moderating mechanism, in a large sample of Chinese participants receiving a crisis intervention during the coronavirus disease 2019 epidemic. Methods Participants were invited online to complete demographic information and questionnaires. The Symptom Checklist-90 somatization subscale, 10-item Connor–Davidson resilience scale, and 10-item Perceived Stress Scale were measured. Results A total of 2,557 participants were included. Spearman correlation analysis revealed that lower resilience was associated with more somatic symptoms (p < 0.001). The conditional process model was proved (indirect effect = −0.01, 95% confidence interval = [−0.015, −0.002]). The interaction effects between perceived stress and sex predicted somatization (b = 0.05, p = 0.006). Conclusion Resilience is a key predictor of somatization. The mediating effects of perceived stress between resilience and somatization work in the context of sex difference. Sex-specific intervention by enhancing resilience is of implication for alleviating somatization during the coronavirus disease 2019 epidemic.
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Affiliation(s)
- Fangfang Shangguan
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
| | - Chenhao Zhou
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
| | - Wei Qian
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chen Zhang
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
| | - Zhengkui Liu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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