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Lammila-Escalera E, Greenfield G, Pan Z, Nicholls D, Majeed A, Hayhoe B. Interventions to improve medication adherence in adults with mental-physical multimorbidity in primary care: a systematic review. Br J Gen Pract 2024; 74:e442-e448. [PMID: 38429109 PMCID: PMC11181560 DOI: 10.3399/bjgp.2023.0406] [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: 08/15/2023] [Accepted: 02/26/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Medication non-adherence is a notable contributor to healthcare inefficiency, resulting in poor medication management, impaired patient outcomes, and ineffective symptom control. AIM To summarise interventions targeting medication adherence for adults with mental-physical multimorbidity in primary healthcare settings. DESIGN AND SETTING A systematic review of the literature - published in any language and with any country of origin - was conducted. METHOD MEDLINE, EMBASE, PsycInfo, Web of Science, Cochrane Library, and the Cumulated Index to Nursing and Allied Health Literature - more commonly known as CINAHL - were searched for relevant studies. Data were extracted and synthesised using narrative synthesis. The Effective Practice and Organisation of Care (EPOC) taxonomy was used to classify intervention types. Risk of bias was assessed using the National Heart, Lung, and Blood Institute's quality assessment tool for controlled intervention studies. RESULTS Eleven studies, representing 2279 patients, were included. All interventions examined were classified into one EPOC domain, namely 'delivery arrangements'. All included studies examined patients who had a physical condition and depression. Seven studies examining interventions focused on coordination of care and management of care processes reported statistically significant improvements in medication adherence that were attributed to the intervention. Four studies considering the use of information and communication technology observed no changes in medication adherence. CONCLUSION Interventions that coordinate and manage healthcare processes may help improve patients' adherence to medication regimes in those with mental-physical multimorbidity. However, it is still necessary to better understand how digital health technology can support patients in following their medication regimes. As the growing challenges of treating multimorbidity are faced, everyone involved in health services - from providers to policymakers - must be receptive to a more integrated approach to healthcare delivery.
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Affiliation(s)
| | | | - Ziyang Pan
- Department of Primary Care and Public Health
| | | | | | - Benedict Hayhoe
- Department of Primary Care and Public Health, Imperial College London, London
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Varela-Moreno E, Anarte-Ortiz MT, Jodar-Sanchez F, Garcia-Palacios A, Monreal-Bartolomé A, Gili M, García-Campayo J, Mayoral-Cleries F. Economic Evaluation of a Web Application Implemented in Primary Care for the Treatment of Depression in Patients With Type 2 Diabetes Mellitus: Multicenter Randomized Controlled Trial. JMIR Mhealth Uhealth 2024; 12:e55483. [PMID: 38754101 PMCID: PMC11140277 DOI: 10.2196/55483] [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: 12/14/2023] [Revised: 03/04/2024] [Accepted: 03/14/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Depressive disorder and type 2 diabetes mellitus (T2DM) are prevalent in primary care (PC). Pharmacological treatment, despite controversy, is commonly chosen due to resource limitations and difficulties in accessing face-to-face interventions. Depression significantly impacts various aspects of a person's life, affecting adherence to medical prescriptions and glycemic control and leading to future complications and increased health care costs. To address these challenges, information and communication technologies (eg, eHealth) have been introduced, showing promise in improving treatment continuity and accessibility. However, while eHealth programs have demonstrated effectiveness in alleviating depressive symptoms, evidence regarding glycemic control remains inconclusive. This randomized controlled trial aimed to test the efficacy of a low-intensity psychological intervention via a web app for mild-moderate depressive symptoms in individuals with T2DM compared with treatment as usual (TAU) in PC. OBJECTIVE This study aimed to analyze the cost-effectiveness and cost-utility of a web-based psychological intervention to treat depressive symptomatology in people with T2DM compared with TAU in a PC setting. METHODS A multicenter randomized controlled trial was conducted with 49 patients with T2DM, depressive symptoms of moderate severity, and glycosylated hemoglobin (HbA1c) of 7.47% in PC settings. Patients were randomized to TAU (n=27) or a web-based psychological treatment group (n=22). This web-based treatment consisted of cognitive behavioral therapy, improvement of diabetes self-care behaviors, and mindfulness. Cost-effectiveness analysis for the improvement of depressive symptomatology was conducted based on reductions in 3, 5, or 50 points on the Patient Health Questionnaire-9 (PHQ-9). The efficacy of diabetes control was estimated based on a 0.5% reduction in HbA1c levels. Follow-up was performed at 3 and 6 months. The cost-utility analysis was performed based on quality-adjusted life years. RESULTS Efficacy analysis showed that the web-based treatment program was more effective in improving depressive symptoms than TAU but showed only a slight improvement in HbA1c. Incremental cost-effectiveness ratios of 186.76 for a 3-point reduction in PHQ-9 and 206.31 for reductions of 5 and 50 percentage points were obtained. In contrast, the incremental cost-effectiveness ratio for improving HbA1c levels amounted to €1510.90 (€1=US $1.18 in 2018) per participant. The incremental cost-utility ratio resulted in €4119.33 per quality-adjusted life year gained. CONCLUSIONS The intervention, using web-based modules incorporating cognitive behavioral therapy tools, diabetes self-care promotion, and mindfulness, effectively reduced depressive symptoms and enhanced glycemic control in patients with T2DM. Notably, it demonstrated clinical efficacy and economic efficiency. This supports the idea that eHealth interventions not only benefit patients clinically but also offer cost-effectiveness for health care systems. The study emphasizes the importance of including specific modules to enhance diabetes self-care behaviors in future web-based psychological interventions, emphasizing personalization and adaptation for this population. TRIAL REGISTRATION ClinicalTrials.gov NCT03426709; https://clinicaltrials.gov/study/NCT03426709. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1186/S12888-019-2037-3.
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Affiliation(s)
- Esperanza Varela-Moreno
- Research and Innovation Unit, Costa del Sol University Hospital, Marbella, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Málaga, Spain
- Department of Personality, Assessment and Psychological Treatment, Faculty of Psychology, University of Málaga, Málaga, Spain
- Biomedical Research Institute of Malaga, Malaga, Spain
| | - Maria Teresa Anarte-Ortiz
- Department of Personality, Assessment and Psychological Treatment, Faculty of Psychology, University of Málaga, Málaga, Spain
- Biomedical Research Institute of Malaga, Malaga, Spain
| | - Francisco Jodar-Sanchez
- Department of Applied Economics, Faculty of Economics and Business Administration, University of Malaga, Malaga, Spain
- Pharmacoeconomics: Clinical and Economic Evaluation of Medications and Palliative Care, Malaga, Spain
| | - Azucena Garcia-Palacios
- Network Biomedical Research Center. Physiopathology Obesity and Nutrition (CIBERobn), Carlos III Health Institute, Madrid, Spain
- Department of Clinical and Basic Psychology and Biopsychology, Faculty of Health Sciences, University Jaume I, Castellon, Spain
| | - Alicia Monreal-Bartolomé
- Institute of Health Research of Aragon, Zaragoza, Spain
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
| | - Margalida Gili
- Research Network on Preventive Activities and Health Promotion in Primary Health Care (RedIAPP), Madrid, Spain
- Institut Universitari d'Investigació en Ciències de la Salut, University Institute for Research in Health Sciences (IUNICS)- Palma Health Research Institute (IDISPA), University of the Balearic Islands, Palma, Spain
| | - Javier García-Campayo
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Málaga, Spain
- Institute of Health Research of Aragon, Zaragoza, Spain
| | - Fermin Mayoral-Cleries
- Biomedical Research Institute of Malaga, Malaga, Spain
- Mental Health Clinical Management Unit, University Regional Hospital of Malaga, Malaga, Spain
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Jäger M, Zangger G, Bricca A, Dideriksen M, Smith SM, Midtgaard J, Taylor RS, Skou ST. Mapping interventional components and behavior change techniques used to promote self-management in people with multimorbidity: a scoping review. Health Psychol Rev 2024; 18:165-188. [PMID: 36811829 PMCID: PMC7615688 DOI: 10.1080/17437199.2023.2182813] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 02/15/2023] [Indexed: 02/24/2023]
Abstract
Ageing populations and improved survival, have contributed to a rise in the number of people living with multimorbidity, raising issues related to polypharmacy, treatment burden, competing priorities and poor coordination of care. Self-management programs are increasingly included as an essential component of interventions to improve outcomes in this population. However, an overview of how interventions supporting self-management in patients with multimorbidity is missing. This scoping review focused on mapping the literature on patient-centered interventions for people living with multimorbidity. We searched several databases, clinical registries, and grey literature for RCTs published between 1990-2019 describing interventions that supported self-management in people with multimorbidity. We included 72 studies that were found to be very heterogeneous when it comes to the population, delivery modes and modalities, intervention elements and facilitators. The results pointed to an extensive use of cognitive behavioral therapy as a basis for interventions, as well as behavior change theories and disease management frameworks. The most coded behavior change techniques stemmed from the categories Social Support, Feedback and monitoring and Goals and Planning. To allow for implementation of effective interventions in clinical practice, improved reporting of intervention mechanisms in RCTs is warranted.
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Affiliation(s)
- Madalina Jäger
- Research Unit for Musculoskeletal Function and Physiotherapy, Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Danish Centre for Motivation and Behaviour Science, University of Southern Denmark, Odense, Denmark
- The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark
| | - Graziella Zangger
- Research Unit for Musculoskeletal Function and Physiotherapy, Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark
| | - Alessio Bricca
- Research Unit for Musculoskeletal Function and Physiotherapy, Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark
| | - Mette Dideriksen
- Research Unit for Musculoskeletal Function and Physiotherapy, Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark
| | - Susan M. Smith
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland (RCSI), Dublin, Ireland
| | - Julie Midtgaard
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Centre for Applied Research in Mental Health Care (CARMEN), Mental Health Centre Glostrup, Mental Health Services in the Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Rod S. Taylor
- MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for Biostatistics, Institute of Health and Well Being, University of Glasgow, Glasgow, Scotland
| | - Søren T. Skou
- Research Unit for Musculoskeletal Function and Physiotherapy, Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark
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Wicaksana AL, Apriliyasari RW, Tsai PS. Effect of self-help interventions on psychological, glycemic, and behavioral outcomes in patients with diabetes: A meta-analysis of randomized controlled trials. Int J Nurs Stud 2024; 149:104626. [PMID: 37979371 DOI: 10.1016/j.ijnurstu.2023.104626] [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: 12/18/2022] [Revised: 10/06/2023] [Accepted: 10/19/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Self-help interventions are beneficial for patients with diabetes; however, related studies have reported conflicting results. To date, no review has examined the effect of self-help interventions on diabetes outcomes. OBJECTIVES To systematically evaluate the effects of self-help interventions on psychological, glycemic, and behavioral outcomes in patients with diabetes. DESIGN A systematic review and meta-analysis of randomized controlled trials. METHODS Five databases-PubMed, CINAHL, Embase, PsycINFO, and ClinicalTrials.gov-were searched from 1996, 1937, 1947, 1887, and 2000, respectively, to 2 June 2023. Studies that employed a randomized controlled trial design, enrolled adults with diabetes, implemented a self-help intervention as the main or an additional intervention, and reported the outcomes of interest were included. Studies providing self-help interventions to patients with gestational diabetes or pregnant women were excluded. The primary outcomes were diabetes distress, depression, and anxiety, and the secondary outcomes were glycemic and behavioral outcomes (self-management behavior, self-efficacy, and quality of life). Hedges' g and the associated 95 % confidence interval (CI) were calculated using a random-effects model to obtain the pooled estimates of short-, mid-, and long-term effects of self-help interventions. Heterogeneity was explored using I2 and Q statistics, and moderator analysis was performed to identify the sources of heterogeneity. RESULTS Of 17 eligible studies, 16 provided data for meta-analysis. We included 3083 patients with diabetes; the majority were women (61.95 %), and their average age was 55.13 years. Self-help interventions exerted significant short-term effects on diabetes distress (g = -0.363; 95 % CI = -0.554, -0.173), depression (g = -0.465; 95 % CI = -0.773, -0.156), anxiety (g = -0.295; 95 % CI = -0.523, -0.068), glycosylated hemoglobin level (g = -0.497; 95 % CI = -0.791, -0.167), self-efficacy (g = 0.629; 95 % CI = 0.060, 1.197), and quality of life (g = 0.413; 95 % CI = 0.104, 0.721; g = 0.182; 95 % CI = 0.031, 0.333; and g = 0.469; 95 % CI = 0.156, 0.783 for overall, physical, and mental domains, respectively). We also noted significant mid-term effects of self-help interventions on diabetes distress (g = -0.195; 95 % CI = -0.374, -0.016), self-management behavior (g = 0.305; 95 % CI = 0.155, 0.454), and overall quality of life (g = 0.562; 95 % CI = 0.315, 0.810). The certainty of evidence ranged from high to very low certainty for the measured outcomes. CONCLUSIONS Self-help interventions may have some positive effects on diabetes distress, anxiety, self-management behavior, and quality of life. REGISTRATION This review was registered in PROSPERO (CRD42022329905). TWEETABLE ABSTRACT This meta-analysis demonstrated that self-help interventions might improve psychological and behavioral outcomes in patients with diabetes.
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Affiliation(s)
- Anggi Lukman Wicaksana
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Medical Surgical Nursing, Universitas Gadjah Mada, Indonesia; The Sleman Health and Demographic Surveillance System, Universitas Gadjah Mada, Indonesia
| | - Renny Wulan Apriliyasari
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Institut Teknologi Kesehatan Cendekia Utama Kudus, Kudus, Indonesia
| | - Pei-Shan Tsai
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing and Center for Nursing and Healthcare Research in Clinical Practice Application, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Research Center of Sleep Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
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Li Y, Buys N, Ferguson S, Li Z, Shi YC, Li L, Sun J. The evaluation of cognitive-behavioral therapy-based intervention on type 2 diabetes patients with comorbid metabolic syndrome: a randomized controlled trial. Diabetol Metab Syndr 2023; 15:158. [PMID: 37461057 PMCID: PMC10351126 DOI: 10.1186/s13098-023-01100-2] [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: 03/01/2023] [Accepted: 05/27/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Cognitive behavior therapy (CBT) has been applied in intervention research in diabetes patients with satisfying results. However, there was no research on type 2 diabetes (T2DM) patients with comorbidities. This study aimed to investigate the effectiveness of CBT on psychological variables, behavior variables, quality of life, sleep quality, and physical variables among adult T2DM patients with comorbid metabolic syndrome (MS). METHODS 281 patients aged 18-75 years were recruited from Ningbo First Hospital in China from October 2021 to March 2022. Patients were randomized to the intervention group (IG, N = 148) or control group (CG, N = 133). Patients in the IG received 12 CBT-based sessions during a six-month intervention time. Patients in the CG received the usual care only. Univariate General Linear Model was used to analyze the effect of CBT-based interventions. The analysis was conducted by SPSS Version 28. RESULTS Results indicated that CBT-based intervention was superior in the following aspects: relieving depression symptoms: IG (4.11 ± 4.35 vs. 1.99 ± 2.12), CG (3.40 ± 3.26 vs. 2.32 ± 1.88), interaction effect (F = 4.074, P = 0.044); enhancing diabetes self-care behaviors: IG (26.79 ± 12.18 vs. 37.49 ± 10.83), CG (25.82 ± 13.71 vs. 31.96 ± 11.72), interaction effect (F = 5.242, P = 0.022); promoting the efficacy of CBT: IG (47.45 ± 6.83 vs. 50.76 ± 4.98), CG (46.74 ± 6.94 vs. 47.87 ± 5.11), interaction effect (F = 5.198, P = 0.023); improving subjective sleep quality: IG (0.93 ± 0.68 vs. 0.69 ± 0.63), CG (1.03 ± 0.72 vs. 1.01 ± 0.68), interaction effect (F = 3.927, P = 0.048). CONCLUSIONS The CBT-based intervention was beneficial in improving depression symptoms, diabetes self-care behaviors, the efficacy of CBT, and sleep quality in T2DM patients with comorbid MS. The downtrend of body mass index, systolic blood pressure, diastolic pressure, and glycated hemoglobin was larger in the intervention group but not to a significant level. TRIAL REGISTRATION This study has been prospectively registered at Australia New Zealand Clinical Trials Registry (Registration ID: ACTRN12621001348842 website: https://www.anzctr.org.au/trial/MyTrial.aspx ).
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Affiliation(s)
- Yanni Li
- School of Medicine and Dentistry, Griffith University, Gold Coast, QLD, Q4222, Australia
| | - Nicholas Buys
- Griffith Health, Griffith University, Gold Coast, QLD, Australia
| | | | - Zhiyong Li
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Yan-Chuan Shi
- Neuroendocrinology Group, Garvan Institute of Medical Research, Faculty of Medicine and Health, University of New South Wales, 384 Victoria St, Darlinghurst, Australia
| | - Li Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, 315010, Zhejiang Province, China.
| | - Jing Sun
- School of Medicine and Dentistry, Griffith University, Gold Coast, QLD, Q4222, Australia.
- Institute for Integrated Intelligence and Systems, Griffith University, Gold Coast, QLD, Australia.
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia.
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Han ZY, Chen Y, Chen YD, Sun GM, Dai XY, Yin YQ, Geng YQ. Latent characteristics and influencing factors of stigma in rheumatoid arthritis: A latent class analysis. Medicine (Baltimore) 2023; 102:e34006. [PMID: 37335640 DOI: 10.1097/md.0000000000034006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2023] Open
Abstract
To explore the latent classes of stigma in patients with rheumatoid arthritis, we analyzed the characteristics of the different categories. Adopting a convenient sampling method, socio-demographic and disease-related information from the outpatient clinics and wards of 3 tertiary care hospitals in China was collected. The Chinese version of the Internalized Stigma of Mental Illness scale-Rheumatoid Arthritis was used in this survey. Rheumatoid arthritis stigma was divided into 3 potential categories: Low Stigma-Strong Resistance (83, 41.5%), Medium Stigma-Strong Alienation (78, 39.0%), and High Stigma-Weak Resistance (39, 19.5%). Unordered multinomial logistic regression analysis showed that pain (OR = 1.540, P = .005; OR = 1.797, P < .001), elementary school education and below (OR = 4.051, P = .037), and duration of morning stiffness (OR = 0.267, P = .032) were risk factors for stigma, whereas family history was a protective factor against stigma (OR = 0.321, P = .046). Patients with longer morning stiffness, more severe pain, and less education have a greater risk of heavier stigma. Strong alienation is an early warning of heavy stigma. Resistance to stigma and family support can help patients overcome their psychological obstacles. More attention should be paid to constructing family centered support systems to help resist stigma.
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Affiliation(s)
- Zi-Yin Han
- Department of Nursing, Nanjing Medical University, Jiangning District, Nanjing, China
- Department of Rheumatology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Yong Chen
- Department of Rheumatology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - You-Di Chen
- Department of Nursing, Bengbu Medical College, Bengbu, China
| | - Guo-Min Sun
- Department of Rheumatology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Xiao-Ying Dai
- Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College, Wuhan, China
| | - Yue-Qin Yin
- Department of Rheumatology, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China
| | - Ya-Qin Geng
- Department of Nursing, Nanjing Medical University, Jiangning District, Nanjing, China
- Department of Rheumatology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China
- Department of Nursing, Bengbu Medical College, Bengbu, China
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Visagie E, Deacon E, Kok R. Exploring the role of CBT in the self-management of type 2 diabetes: A rapid review. Health SA 2023; 28:2254. [PMID: 37292235 PMCID: PMC10244871 DOI: 10.4102/hsag.v28i0.2254] [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: 11/14/2022] [Accepted: 03/08/2023] [Indexed: 06/10/2023] Open
Abstract
Background Type 2 diabetes has been recognised as a global health concern: one that requires intervention to lessen the incumbrance caused by the chronic illness. This rapid review was conducted to determine the scientific evidence available on how Cognitive Behaviour Therapy (CBT) interventions improved the self-management of individuals with type 2 diabetes. Aim The aim of the review was to synthesise current scientific evidence regarding CBT-based interventions and self-management practices. Method The rapid review served as a framework to appraise current national and international literature. The researchers used Google Scholar, Journal Storage (JSTOR), PsycINFO, APA PsycArticles, SAGE journals and EBSCO Discovery Services to search for relevant studies. This was performed by employing keywords. Nine relevant studies were identified. The studies were heterogenous in methodology. Seven of the nine studies were conducted in developing countries. Results The study found that the context of developmental countries plays a significant role in the development of type 2 diabetes and requires tailored intervention because of socio-economic variabilities. The main themes identified in relation to improving self-management included: the characteristics of the CBT-based interventions, namely the format, duration, and outcomes, and identifying the techniques and components used in the CBT-based interventions. Conclusion The review emphasised the need to further investigate the role of CBT in improving self-management of type 2 diabetes, especially in a South African context. Contribution The review summarised the techniques that have proven to be effective for the self-management of type 2 diabetes.
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Affiliation(s)
- Elne Visagie
- Compress Research Focus Area, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Elmari Deacon
- Optentia Research Unit, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Rümando Kok
- Centre for Health and Human Performance (CHHP), Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
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Racey M, Whitmore C, Alliston P, Cafazzo JA, Crawford A, Castle D, Dragonetti R, Fitzpatrick-Lewis D, Jovkovic M, Melamed OC, Naeem F, Senior P, Strudwick G, Ramdass S, Vien V, Selby P, Sherifali D. Technology-Supported Integrated Care Innovations to Support Diabetes and Mental Health Care: Scoping Review. JMIR Diabetes 2023; 8:e44652. [PMID: 37159256 DOI: 10.2196/44652] [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: 11/28/2022] [Revised: 02/23/2023] [Accepted: 04/01/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND For individuals living with diabetes and its psychosocial comorbidities (eg, depression, anxiety, and distress), there remains limited access to interprofessional, integrated care that includes mental health support, education, and follow-up. Health technology, broadly defined as the application of organized knowledge or skill as software, devices, and systems to solve health problems and improve quality of life, is emerging as a means of addressing these gaps. There is thus a need to understand how such technologies are being used to support, educate, and help individuals living with co-occurring diabetes and mental health distress or disorder. OBJECTIVE The purpose of this scoping review was to (1) describe the literature on technology-enabled integrated interventions for diabetes and mental health; (2) apply frameworks from the Mental Health Commission of Canada and World Health Organization to elucidate the components, type, processes, and users of technology-enabled integrated interventions for diabetes and mental health; and (3) map the level of integration of interventions for diabetes and mental health. METHODS We searched 6 databases from inception to February 2022 for English-language, peer-reviewed studies of any design or type that used technology to actively support both diabetes and any mental health distress or disorder in succession or concurrently among people with diabetes (type 1 diabetes, type 2 diabetes, and gestational diabetes). Reviewers screened citations and extracted data including study characteristics and details about the technology and integration used. RESULTS We included 24 studies described in 38 publications. These studies were conducted in a range of settings and sites of care including both web-based and in-person settings. Studies were mostly website-based (n=13) and used technology for wellness and prevention (n=16) and intervention and treatment (n=15). The primary users of these technologies were clients and health care providers. All the included intervention studies (n=20) used technology for clinical integration, but only 7 studies also used the technology for professional integration. CONCLUSIONS The findings of this scoping review suggest that there is a growing body of literature on integrated care for diabetes and mental health enabled by technology. However, gaps still exist with how to best equip health care professionals with the knowledge and skills to offer integrated care. Future research is needed to continue to explore the purpose, level, and breadth of technology-enabled integration to facilitate an approach to overcome or address care fragmentation for diabetes and mental health and to understand how health technology can further drive the scale-up of innovative integrated interventions.
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Affiliation(s)
- Megan Racey
- McMaster Evidence Review and Synthesis Team, McMaster University, Hamilton, ON, Canada
- School of Nursing, McMaster University, Hamilton, ON, Canada
| | - Carly Whitmore
- School of Nursing, McMaster University, Hamilton, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Paige Alliston
- McMaster Evidence Review and Synthesis Team, McMaster University, Hamilton, ON, Canada
| | - Joseph A Cafazzo
- Healthcare Human Factors, University Health Network, Toronto, ON, Canada
- eHealth Innovation, University Health Network, Toronto, ON, Canada
| | - Allison Crawford
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - David Castle
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | | | - Milos Jovkovic
- McMaster Evidence Review and Synthesis Team, McMaster University, Hamilton, ON, Canada
| | - Osnat C Melamed
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Farooq Naeem
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Peter Senior
- Clinical Islet Transplant Program, University of Alberta, Edmonton, AB, Canada
- Department of Medicine, Division of Endocrinology, University of Alberta, Edmonton, AB, Canada
| | - Gillian Strudwick
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Seeta Ramdass
- Diabetes Action Canada, Toronto, ON, Canada
- McGill University, Montreal, QC, Canada
| | - Victor Vien
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Peter Selby
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Diana Sherifali
- McMaster Evidence Review and Synthesis Team, McMaster University, Hamilton, ON, Canada
- School of Nursing, McMaster University, Hamilton, ON, Canada
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Tao TJ, Lim TK, Yeung ETF, Liu H, Shris PB, Ma LKY, Lee TMC, Hou WK. Internet-based and mobile-based cognitive behavioral therapy for chronic diseases: a systematic review and meta-analysis. NPJ Digit Med 2023; 6:80. [PMID: 37117458 PMCID: PMC10141870 DOI: 10.1038/s41746-023-00809-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 03/30/2023] [Indexed: 04/30/2023] Open
Abstract
Positive adjustment to chronic diseases reduces psychiatric comorbidity and enhances quality of life. Very little is known about the benefit of internet-based and mobile-based Cognitive Behavioral Therapy (IM-CBT) on physical outcomes and its reciprocal interactions with psychiatric outcomes, the active therapeutic elements, and effect moderators among people with major chronic medical conditions. In this systematic review and meta-analysis (PROSPERO: CRD42022265738), CINAHL of Systematic Reviews, MEDLINE, PsycINFO, PubMed, Web of Science are systematically searched up to 1 June 2022, for randomized controlled trials (RCTs) comparing IM-CBT against non-CBT control condition(s) among people with chronic disease(s). Primary outcomes include improvements in psychiatric symptoms (depressive, anxiety, PTSD symptoms, general psychological distress) from baseline to post-intervention and follow-ups. Secondary outcomes include improvements in physical distress (physical symptoms, functional impairment, self-rated ill health, objective physiological dysfunction). Among 44 RCTs (5077 patients with seven different chronic diseases), IM-CBT improves depressive symptoms, anxiety symptoms, and general psychological distress at post-intervention and across follow-ups, and improves physical distress and functional impairment at post-intervention. Preliminary evidence suggests that behavioral modification and problem-solving could be necessary components to reduce psychiatric symptoms in IM-CBT, whereas cognitive restructuring, psychoeducation, and mindfulness elements relate to reduced physical distress. IM-CBT shows stronger benefits in chronic pain, cancer, arthritis, and cardiovascular disease, relative to other conditions. Changes in psychiatric symptoms and physical distress prospectively predict each other over time. IM-CBT is an effective intervention for comprehensive symptom management among people with chronic diseases.
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Affiliation(s)
- Tiffany Junchen Tao
- Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China
| | - Teck Kuan Lim
- Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China
| | - Ernest Tsun Fung Yeung
- Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China
| | - Huinan Liu
- Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China
- Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong SAR, China
| | - Phoenix Bibha Shris
- Department of Psychology, The Education University of Hong Kong, Hong Kong SAR, China
| | - Lawrence Ka Yin Ma
- Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China
- Department of Psychology, The Education University of Hong Kong, Hong Kong SAR, China
| | - Tatia Mei Chun Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong SAR, China
| | - Wai Kai Hou
- Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
- Department of Psychology, The Education University of Hong Kong, Hong Kong SAR, China.
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 154] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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Gomille-Hahn L, Grammes J, Lehnart J, Binz C, Koehn S, Kubiak T, Benecke A. Reduktion von diabetesbezogenem Distress bei Typ-1- und Typ-2-Diabetes durch eine kognitiv-verhaltenstherapeutische Gruppenintervention. DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1928-9691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
ZusammenfassungDas Stresserleben durch die Erkrankung Diabetes mellitus stellt für einen Großteil der betroffenen Personen oft eine deutliche Belastung dar, die sich negativ auf das Diabetes-Selbstmanagement und damit auf die Gesundheit der Betroffenen auswirken kann. Das Ziel der vorliegenden Studie war die Evaluation einer diabetesspezifischen kognitiv-verhaltenstherapeutischen Gruppentherapie zur Reduktion des Stresserlebens, bestehend aus sechs Sitzungen für Personen mit Typ-1- oder Typ-2-Diabetes. Vermittelt wurden Techniken zur Stressbewältigung, wie Achtsamkeit und Entspannungsübungen, sowie kognitive Techniken, die auf den Alltag mit der Diabeteserkrankung und damit verbundene Gedanken und Emotionen der Teilnehmenden bezogen waren. Von 52 Personen (51,9% mit Typ-1-Diabetes, 61,5% weiblich, Alter MW= 50,4 Jahre) lagen nach Studienteilnahme Fragebögen vor. Eine signifikante Verbesserung konnte im Problem Areas In Diabetes Questionnaire (Δ6.24 [95%-KI: 1.85–10.62], p=.006), dem Perceived Stress Survey (Δ2.93 [95%-KI: 1.59–4.26], p=.000) und der Diabetes Acceptance Scale (Δ5.5 [95%-KI: 9.07–1.93], p=.003) erreicht werden. Diese erwies sich auch im Follow-Up nach sechs Monaten als stabil. Der selbstberichtete HbA1c-Wert reduzierte sich im Befragungszeitraum bei der Teilstichprobe von N= 40, von der die Daten verfügbar waren, ebenfalls signifikant (Δ0.73 [95%-KI: 0.015–1.452], p=.046). Das Gruppentherapieprogramm zur Stressreduktion kann als eine niedrigschwellige, psychotherapeutische Interventionen zur Reduktion diabetesbezogener Belastungen angesehen werden. Es könnte ein hilfreiches primär- und sekundärpräventives Angebot für stressbelastete Menschen mit Diabetes in der Standardversorgung darstellen.
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Affiliation(s)
- Lara Gomille-Hahn
- Poliklinische Institutsambulanz für Psychotherapie, Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - Jennifer Grammes
- Gesundheitspsychologie, Johannes Gutenberg-Universität, Mainz, Germany
- c/o IDT, Arbeitsgemeinschaft Diabetes und Technologie der Deutschen Diabetes Gesellschaft, Ulm, Germany
| | - Judith Lehnart
- Soziale Arbeit und Sozialwissenschaften, Katholische Hochschule Mainz, Mainz, Germany
| | - Christine Binz
- Poliklinische Institutsambulanz für Psychotherapie, Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - Sandra Koehn
- Poliklinische Institutsambulanz für Psychotherapie, Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - Thomas Kubiak
- Gesundheitspsychologie, Johannes Gutenberg-Universität, Mainz, Germany
| | - Andrea Benecke
- Poliklinische Institutsambulanz für Psychotherapie, Johannes Gutenberg Universität Mainz, Mainz, Germany
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12
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Shah A, Hussain-Shamsy N, Strudwick G, Sockalingam S, Nolan RP, Seto E. Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review. J Med Internet Res 2022; 24:e38030. [PMID: 36155409 PMCID: PMC9555324 DOI: 10.2196/38030] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/12/2022] [Accepted: 08/11/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Chronic conditions are characterized by their long duration (≥1 year), need for ongoing medical attention, and limitations in activities of daily living. These can often co-occur with depression and anxiety as common and detrimental comorbidities among the growing population living with chronic conditions. Digital health interventions (DHIs) hold promise in overcoming barriers to accessing mental health support for these individuals; however, the design and implementation of DHIs for depression and anxiety in people with chronic conditions are yet to be explored. OBJECTIVE This study aimed to explore what is known in the literature regarding DHIs for the prevention, detection, or treatment of depression and anxiety among people with chronic conditions. METHODS A scoping review of the literature was conducted using the Arksey and O'Malley framework. Searches of the literature published in 5 databases between 1990 and 2019 were conducted in April 2019 and updated in March 2021. To be included, studies must have described a DHI tested with, or designed for, the prevention, detection, or treatment of depression or anxiety in people with common chronic conditions (arthritis, asthma, diabetes mellitus, heart disease, chronic obstructive pulmonary disease, cancer, stroke, and Alzheimer disease or dementia). Studies were independently screened by 2 reviewers against the inclusion and exclusion criteria. Both quantitative and qualitative data were extracted, charted, and synthesized to provide a descriptive summary of the trends and considerations for future research. RESULTS Database searches yielded 11,422 articles across the initial and updated searches, 53 (0.46%) of which were included in this review. DHIs predominantly sought to provide treatment (44/53, 83%), followed by detection (5/53, 9%) and prevention (4/53, 8%). Most DHIs were focused on depression (36/53, 68%), guided (32/53, 60%), tailored to chronic physical conditions (19/53, 36%), and delivered through web-based platforms (20/53, 38%). Only 2 studies described the implementation of a DHI. CONCLUSIONS As a growing research area, DHIs offer the potential to address the gap in care for depression and anxiety among people with chronic conditions; however, their implementation in standard care is scarce. Although stepped care has been identified as a promising model to implement efficacious DHIs, few studies have investigated the use of DHIs for depression and anxiety among chronic conditions using such models. In developing stepped care, we outlined DHI tailoring, guidance, and intensity as key considerations that require further research.
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Affiliation(s)
- Amika Shah
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Centre for Global eHealth Innovation, University Health Network, Toronto, ON, Canada
| | - Neesha Hussain-Shamsy
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Centre for Global eHealth Innovation, University Health Network, Toronto, ON, Canada
| | - Gillian Strudwick
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sanjeev Sockalingam
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert P Nolan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Cardiac eHealth, Toronto General Hospital, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Emily Seto
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Centre for Global eHealth Innovation, University Health Network, Toronto, ON, Canada
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Li Y, Storch EA, Ferguson S, Li L, Buys N, Sun J. The efficacy of cognitive behavioral therapy-based intervention on patients with diabetes: A meta-analysis. Diabetes Res Clin Pract 2022; 189:109965. [PMID: 35718018 DOI: 10.1016/j.diabres.2022.109965] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/10/2022] [Accepted: 06/13/2022] [Indexed: 11/28/2022]
Abstract
AIMS This meta-analysis aims to update former meta-analyses from randomized controlled trials (RCT) focused on the efficacy of CBT for diabetes. METHODS Five databases were searched for RCTs. Primary outcomes were glycated hemoglobin (HbA1c), fasting blood glucose (FBS), systolic blood pressure (SBP), diastolic blood pressure (DBP), and body mass index (BMI). Secondary outcomes were depression, anxiety and distress symptoms, quality of life, sleep quality. RESULTS 32 RCTs were included. Results revealed that CBT could reduce HbA1c: -0.14% (95% CI: -0.25 to -0.02%, P = 0.020); FBS: -15.48 mg/dl (95% CI: -30.16 to -0.81 mg/dl, P = 0.040); DBP: -2.88 mmHg (95% CI: -4.08 to -1.69 mmHg, P < 0.001); depression symptoms: -0.90 (95% CI: -1.22 to -0.57, P < 0.001); anxiety symptoms: -0.28 (95% CI: -0.50 to -0.07, P = 0.009); improve sleep quality: -0.92 (95% CI: -1.77 to -0.07, P = 0.030). Subgroup analysis indicated that CBT has siginificantly reduced HbA1c when delivered as a group-based and face-to-face method, and psycho-education, behavioral, cognitive, goal-setting, homework assignment strategies were applied as central strategies. CONCLUSION CBT was an effective treatment for diabetes patients, significantly reduced their HbA1c, FBS, DBP, depression and anxiety symptoms, and improved sleep quality.
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Affiliation(s)
- Yanni Li
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland Q422, Australia
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Samantha Ferguson
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland Q422, Australia
| | - Li Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province 315010, China
| | - Nicholas Buys
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland Q422, Australia
| | - Jing Sun
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland Q422, Australia; Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland Q422, Australia.
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14
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Fiqri AM, Sjattar EL, Irwan AM. Cognitive Behavioral Therapy for self-care behaviors with type 2 diabetes mellitus patients: A systematic review. Diabetes Metab Syndr 2022; 16:102538. [PMID: 35753292 DOI: 10.1016/j.dsx.2022.102538] [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: 12/03/2021] [Revised: 06/02/2022] [Accepted: 06/04/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS Self-care behavior is associated with the risk of microvascular and macrovascular complications. Self-care behaviors can be improved through positive thinking, attitude, and knowledge. Cognitive behavioral therapy (CBT) can be one of the interventions for improving self-care behaviors. However, the ideal model and duration of the intervention and an effective assessment instrument to measure the improvement in self-care behaviors remain unidentified. Therefore, this review aimed to assess the effectiveness of CBT, including its models, duration, and instruments, in improving self-care behaviors in patients with type 2 diabetes mellitus (T2DM). METHODS The Scopus, Cochrane Library, PubMed, EBSCO Host, Directory of Open Access Journals, GARUDA, Taylor & Francis, and Gray Literature databases were systematically searched to identify studies that were in English and published in 2011-2021. The quality of the identified articles was assessed using The Critical Appraisal Skill Programme. RESULTS We found 368 patients in seven randomized controlled trials. CBT was significantly effective in improving overall self-care behavior, including blood glucose monitoring, physical activity, and medication compliance. CONCLUSION Individual and group CBT interventions applied face-to-face, via telephone, and via internet show an increase in self-care behavior in patients with T2DM. The duration of treatment had a significant effect at 3 months to 1 year with 12-21 sessions. CBT is performed by a CBT licensed nurse or psychiatrist, nutritionist, CBT psychologist with experience in diabetes care, doctors, research students.
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Affiliation(s)
- Andi Muhammad Fiqri
- Post Graduate Nursing Program, Faculty of Nursing, Hasanuddin University, Perintis Kemerdekaan Street KM.10, Tamalanrea, South-Sulawesi, Makassar, 90245, Indonesia
| | - Elly Lilianty Sjattar
- Medical Surgical Nursing Department, Faculty of Nursing, Hasanuddin University, Perintis Kemerdekaan Street KM.10, Tamalanrea, South-Sulawesi, Makassar, 90245, Indonesia
| | - Andi Masyitha Irwan
- Gerontological Nursing Department, Faculty of Nursing, Hasanuddin University, Perintis Kemerdekaan Street KM.10, Tamalanrea, South-Sulawesi, Makassar, 90245, Indonesia.
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15
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Cornely RM, Subramanya V, Owen A, McGee RE, Kulshreshtha A. A mixed-methods approach to understanding the perspectives, experiences, and attitudes of a culturally tailored cognitive behavioral therapy/motivational interviewing intervention for African American patients with type 2 diabetes: a randomized parallel design pilot study. Pilot Feasibility Stud 2022; 8:107. [PMID: 35597972 PMCID: PMC9123732 DOI: 10.1186/s40814-022-01066-4] [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: 10/21/2021] [Accepted: 05/06/2022] [Indexed: 11/12/2022] Open
Abstract
Background African American (AA) adults are 60% more likely to be diagnosed with diabetes mellitus (DM) and experience more complications than non-Hispanic White adults. Cognitive behavioral therapy (CBT) has shown to be an effective modality for helping patients improve health behaviors and regulate emotional states. Motivational interviewing (MI) addresses participant engagement and motivation. Therefore, MI was combined with CBT as an approach to the process of learning using CBT skills to promote healthy lifestyle choices. We aimed to assess the effects of a culturally tailored CBT/MI intervention on glycemic control in AA participants and understand their perspectives, attitudes, and experiences while participating in this intervention. Methods Using a randomized, parallel design pilot study (web-based group vs in-person group), 20 participants aged ≥ 18 years, identifying as AA and having a glycosylated hemoglobin (HbA1c) > 8%, were recruited. A CBT/MI intervention was administered in six sessions over 3 months. Participants completed baseline and follow-up assessments on measures for diabetes control (HbA1c), self-efficacy, generalized anxiety, depression, perceived stress, health-related quality of life, and cognitive ability. Post-CBT/MI intervention focus groups were conducted to determine patient perspectives regarding the intervention. Results Fourteen participants completed the study, their mean HbA1c improved from 10.0 to 8.9% (t(26) = 0.5, p-value = 0.06). The Diabetes Distress Scale demonstrated decreased distress overall (t(26) = 2.6; p-value = 0.02). The Generalized Anxiety Disorder Scale demonstrated decreased generalized anxiety for all participants (t(26) = 2.2; p = 0.04). Themes identified in focus groups included (1) intervention group social support through information sharing, (2) mental health and personal identities in diabetes understanding and management, and (3) receptivity to CBT/MI intervention positively impacts self-efficacy through improved health literacy. Conclusion This group-based, culturally tailored CBT/MI intervention for type 2 DM care was positively received by AA participants and helped improve diabetes control, as demonstrated by the change in HbA1c. There were additional benefits of social support through group interactions and a stronger sense of self-efficacy due to health education. A comprehensive treatment plan using a CBT/MI intervention may be useful in promoting healthy diabetes self-management. Trial registration ClinicalTrials.gov, NCT03562767. Registered on 19 June 2018
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Affiliation(s)
- Ronald M Cornely
- Behavioral, Social, & Health Education Sciences Department, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Vinita Subramanya
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ashley Owen
- Department of Family and Preventive Medicine, Emory University School of Medicine, 4500 North Shallowford Rd
- Suite 134, Atlanta, GA, 30338, USA
| | - Robin E McGee
- Behavioral, Social, & Health Education Sciences Department, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ambar Kulshreshtha
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. .,Department of Family and Preventive Medicine, Emory University School of Medicine, 4500 North Shallowford Rd
- Suite 134, Atlanta, GA, 30338, USA.
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16
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Varela-Moreno E, Carreira Soler M, Guzmán-Parra J, Jódar-Sánchez F, Mayoral-Cleries F, Anarte-Ortíz MT. Effectiveness of eHealth-Based Psychological Interventions for Depression Treatment in Patients With Type 1 or Type 2 Diabetes Mellitus: A Systematic Review. Front Psychol 2022; 12:746217. [PMID: 35173644 PMCID: PMC8842796 DOI: 10.3389/fpsyg.2021.746217] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 12/20/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Comorbidity between diabetes mellitus and depression is highly prevalent. The risk of depression in a person with diabetes is approximately twice that of a person without this disease. Depression has a major impact on patient well-being and control of diabetes. However, despite the availability of effective and specific therapeutic interventions for the treatment of depression in people with diabetes, 50% of patients do not receive psychological treatment due to insufficient and difficult accessibility to psychological therapies in health systems. The use of information and communication technologies (ICTs) has therefore been proposed as a useful tool for the delivery of psychological interventions, but it continues to be a field in which scientific evidence is recent and controversial. This systematic review aims to update the available information on the efficacy of psychological interventions delivered through ICTs to improve depressive symptomatology in patients with diabetes. METHODS A systematic review of the literature was performed following the PRISMA guidelines and using MEDLINE, Embase, PubMed, Web of Science, PsycINFO, Scopus, and Cochrane Library databases to search for randomized clinical trials of eHealth treatments for patients with diabetes and comorbid depression from 1995 through 2020. In addition, studies related to follow-up appointments were identified. Inclusion criteria were as follows: (a) randomized clinical trials (RCTs); (b) patients with type 1 and type 2 diabetes; (c) adult population over 18 years of age; (d) presence of depressive symptomatology assessed with standardized instruments; (e) treatments for depression based on established psychotherapeutic techniques and principles; (f) delivered through eHealth technologies. We did not limit severity of depressive symptomatology, delivery setting or comparison group (treatment as usual or other treatment). Two coauthors independently reviewed the publications identified for inclusion and extracted data from the included studies. A third reviewer was involved to discuss discrepancies found. The PEDro scale was used to assess the quality of the RCTs. No meta-analysis of the results was performed. The protocol used for this review is available in PROSPERO (Reg; CRD42020180405). RESULTS The initial search identified 427 relevant scientific publications. After removing duplicates and ineligible citations, a total of 201 articles were analyzed in full text. Ten articles met the criteria of this review and were included, obtaining very good scientific quality after evaluation with the PEDro scale. The main results show that the eHealth psychological intervention for depression in patients with diabetes showed beneficial effects both at the end of treatment and in the short (3 months) and long term (6 and 12 months) for the improvement of depressive symptomatology. The methodology used (type of diabetes, eHealth technology used, recruitment context, implementation and follow-up) was very heterogeneous. However, all studies were based on cognitive-behavioral tools and used standardized assessment instruments to evaluate depressive symptomatology or diagnosis of MDD. Glycemic control was assessed by glycosylated hemoglobin, but no benefits were found in improving glycemic control. Only four studies included psychoeducational content on diabetes and depression, but none used tools to improve or enhance adherence to medical prescriptions or diabetes self-care. CONCLUSIONS ICT-based psychological interventions for the treatment of depression in people with diabetes appear to be effective in reducing depressive symptomatology but do not appear to provide significant results with regard to glycemic control. Nonetheless, the scientific evidence reported to date is still very limited and the methodology very diverse. In addition, no studies have implemented these systems in routine clinical practice, and no studies are available on the economic analysis of these interventions. Future research should focus on studying and including new tools to ensure improvements in diabetes outcomes and not only on psychological well-being in order to advance knowledge about these treatments. Economic evaluations should also be undertaken to analyze whether these treatment programs implemented using eHealth technologies are cost-effective.
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Affiliation(s)
- Esperanza Varela-Moreno
- Departamento de Personalidad, Evaluación y Tratamiento Psicológico, Facultad de Psicología, Universidad de Málaga, Málaga, Spain
- Unidad de Gestión Clínica en Salud Mental, Hospital Regional Universitario de Málaga, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Mónica Carreira Soler
- Departamento de Personalidad, Evaluación y Tratamiento Psicológico, Facultad de Psicología, Universidad de Málaga, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - José Guzmán-Parra
- Unidad de Gestión Clínica en Salud Mental, Hospital Regional Universitario de Málaga, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Francisco Jódar-Sánchez
- Departamento de Economía Aplicada, Facultad de Ciencias Económicas, y Empresariales Universidad de Málaga, Málaga, Spain
| | - Fermín Mayoral-Cleries
- Unidad de Gestión Clínica en Salud Mental, Hospital Regional Universitario de Málaga, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - María Teresa Anarte-Ortíz
- Departamento de Personalidad, Evaluación y Tratamiento Psicológico, Facultad de Psicología, Universidad de Málaga, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
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Ben-Zeev D, Chander A, Tauscher J, Buck B, Nepal S, Campbell A, Doron G. A Smartphone Intervention for People With Serious Mental Illness: Fully Remote Randomized Controlled Trial of CORE. J Med Internet Res 2021; 23:e29201. [PMID: 34766913 PMCID: PMC8663659 DOI: 10.2196/29201] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/19/2021] [Accepted: 10/03/2021] [Indexed: 01/23/2023] Open
Abstract
Background People with serious mental illness (SMI) have significant unmet mental health needs. Development and testing of digital interventions that can alleviate the suffering of people with SMI is a public health priority. Objective The aim of this study is to conduct a fully remote randomized waitlist-controlled trial of CORE, a smartphone intervention that comprises daily exercises designed to promote reassessment of dysfunctional beliefs in multiple domains. Methods Individuals were recruited via the web using Google and Facebook advertisements. Enrolled participants were randomized into either active intervention or waitlist control groups. Participants completed the Beck Depression Inventory-Second Edition (BDI-II), Generalized Anxiety Disorder-7 (GAD-7), Hamilton Program for Schizophrenia Voices, Green Paranoid Thought Scale, Recovery Assessment Scale (RAS), Rosenberg Self-Esteem Scale (RSES), Friendship Scale, and Sheehan Disability Scale (SDS) at baseline (T1), 30-day (T2), and 60-day (T3) assessment points. Participants in the active group used CORE from T1 to T2, and participants in the waitlist group used CORE from T2 to T3. Both groups completed usability and accessibility measures after they concluded their intervention periods. Results Overall, 315 individuals from 45 states participated in this study. The sample comprised individuals with self-reported bipolar disorder (111/315, 35.2%), major depressive disorder (136/315, 43.2%), and schizophrenia or schizoaffective disorder (68/315, 21.6%) who displayed moderate to severe symptoms and disability levels at baseline. Participants rated CORE as highly usable and acceptable. Intent-to-treat analyses showed significant treatment×time interactions for the BDI-II (F1,313=13.38; P<.001), GAD-7 (F1,313=5.87; P=.01), RAS (F1,313=23.42; P<.001), RSES (F1,313=19.28; P<.001), and SDS (F1,313=10.73; P=.001). Large effects were observed for the BDI-II (d=0.58), RAS (d=0.61), and RSES (d=0.64); a moderate effect size was observed for the SDS (d=0.44), and a small effect size was observed for the GAD-7 (d=0.20). Similar changes in outcome measures were later observed in the waitlist control group participants following crossover after they received CORE (T2 to T3). Approximately 41.5% (64/154) of participants in the active group and 60.2% (97/161) of participants in the waitlist group were retained at T2, and 33.1% (51/154) of participants in the active group and 40.3% (65/161) of participants in the waitlist group were retained at T3. Conclusions We successfully recruited, screened, randomized, treated, and assessed a geographically dispersed sample of participants with SMI entirely via the web, demonstrating that fully remote clinical trials are feasible in this population; however, study retention remains challenging. CORE showed promise as a usable, acceptable, and effective tool for reducing the severity of psychiatric symptoms and disability while improving recovery and self-esteem. Rapid adoption and real-world dissemination of evidence-based mobile health interventions such as CORE are needed if we are to shorten the science-to-service gap and address the significant unmet mental health needs of people with SMI during the COVID-19 pandemic and beyond. Trial Registration ClinicalTrials.gov NCT04068467; https://clinicaltrials.gov/ct2/show/NCT04068467
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Affiliation(s)
- Dror Ben-Zeev
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Ayesha Chander
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Justin Tauscher
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Benjamin Buck
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Subigya Nepal
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Andrew Campbell
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Guy Doron
- School of Psychology, Interdisciplinary Center, Herzliya, Israel
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Damerau M, Teufel M, Musche V, Dinse H, Schweda A, Beckord J, Steinbach J, Schmidt K, Skoda EM, Bäuerle A. Determining Acceptance of e-Mental Health Interventions in Digital Psychodiabetology Using a Quantitative Web-Based Survey: Cross-sectional Study. JMIR Form Res 2021; 5:e27436. [PMID: 34328429 PMCID: PMC8367156 DOI: 10.2196/27436] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/21/2021] [Accepted: 05/31/2021] [Indexed: 01/20/2023] Open
Abstract
Background Diabetes is a very common chronic disease that exerts massive physiological and psychological burdens on patients. The digitalization of mental health care has generated effective e-mental health approaches, which offer an indubitable practical value for patient treatment. However, before implementing and optimizing e-mental health tools, their acceptance and underlying barriers and resources should be first determined for developing and establishing effective patient-oriented interventions. Objective This study aims to assess the acceptance of e-mental health interventions among patients with diabetes and explore its underlying barriers and resources. Methods A cross-sectional study was conducted in Germany from April 9, 2020, to June 15, 2020, through a web-based survey for which patients were recruited via web-based diabetes channels. The eligibility requirements were adult age (18 years or older), a good command of the German language, internet access, and a diagnosis of diabetes. Acceptance was measured using a modified questionnaire, which was based on the well-established Unified Theory of Acceptance and Use of Technology (UTAUT) and assessed health-related internet use, acceptance of e-mental health interventions, and its barriers and resources. Mental health was measured using validated and established instruments, namely the Generalized Anxiety Disorder Scale-7, Patient Health Questionnaire-2, and Distress Thermometer. In addition, sociodemographic and medical data regarding diabetes were collected. Results Of the 340 participants who started the survey, 261 (76.8%) completed it and the final sample comprised 258 participants with complete data sets. The acceptance of e-mental health interventions in patients with diabetes was overall moderate (mean 3.02, SD 1.14). Gender and having a mental disorder had a significant influence on acceptance (P<.001). In an extended UTAUT regression model (UTAUT predictors plus sociodemographics and mental health variables), distress (β=.11; P=.03) as well as the UTAUT predictors performance expectancy (β=.50; P<.001), effort expectancy (β=.15; P=.001), and social influence (β=.28; P<.001) significantly predicted acceptance. The comparison between an extended UTAUT regression model (13 predictors) and the UTAUT-only regression model (performance expectancy, effort expectancy, social influence) revealed no significant difference in explained variance (F10,244=1.567; P=.12). Conclusions This study supports the viability of the UTAUT model and its predictors in assessing the acceptance of e-mental health interventions among patients with diabetes. Three UTAUT predictors reached a notable amount of explained variance of 75% in the acceptance, indicating that it is a very useful and efficient method for measuring e-mental health intervention acceptance in patients with diabetes. Owing to the close link between acceptance and use, acceptance-facilitating interventions focusing on these three UTAUT predictors should be fostered to bring forward the highly needed establishment of effective e-mental health interventions in psychodiabetology.
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Affiliation(s)
- Mirjam Damerau
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Martin Teufel
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Venja Musche
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Hannah Dinse
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Adam Schweda
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Jil Beckord
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Jasmin Steinbach
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Kira Schmidt
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Eva-Maria Skoda
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
| | - Alexander Bäuerle
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg Essen, Essen, Germany
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Morriss R, Kaylor-Hughes C, Rawsthorne M, Coulson N, Simpson S, Guo B, James M, Lathe J, Moran P, Tata L, Williams L. A Direct-to-Public Peer Support Program (Big White Wall) Versus Web-Based Information to Aid the Self-management of Depression and Anxiety: Results and Challenges of an Automated Randomized Controlled Trial. J Med Internet Res 2021; 23:e23487. [PMID: 33890858 PMCID: PMC8105759 DOI: 10.2196/23487] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/19/2020] [Accepted: 10/28/2020] [Indexed: 01/29/2023] Open
Abstract
Background Effective help for depression and anxiety reaches a small proportion of people who might benefit from it. The scale of the problem suggests the need for effective, safe web-based public health services delivered directly to the public. One model, the Big White Wall (BWW), offers peer support at low cost. As these interventions are delivered digitally, we tested whether a randomized controlled trial (RCT) intervention could also be fully delivered and evaluated digitally. Objective This study aims to determine the reach, feasibility, acceptability, baseline costs, and outcomes of a public health campaign for an automated RCT of the BWW, providing digital peer support and information, compared with a standard website used by the National Health Service Moodzone (MZ), to people with probable mild-to-moderate depression and anxiety disorder. The primary outcome was the change in self-rated well-being at 6 weeks, measured using the Warwick-Edinburgh Mental Well-Being Scale. Methods An 18-month campaign was conducted across Nottinghamshire, the United Kingdom (target population 914,000) to advertise the trial directly to the public through general marketing, web-based and social media sources, health services, other public services, and third-sector groups. The population reach of this campaign was examined by the number of people accessing the study website and self-registering to the study. A pragmatic, parallel-group, single-blind RCT was then conducted using a fully automated trial website in which eligible participants were randomized to receive either 6 months of access to BWW or signposted to MZ. Those eligible for participation were aged >16 years with probable mild-to-moderate depression or anxiety disorders. Results Of 6483 visitors to the study website, 1510 (23.29%) were eligible. Overall, 790 of 1510 (52.32%) visitors participated. Of 790 visitors, 397 (50.3%) were randomized to BWW and 393 (49.7%) to MZ. Their mean age was 38 (SD 13.8) years, 81.0% (640/790) were female, 93.4% (738/790) were White, and 47.4% (271/572) had no contact with health services in the previous 3 months. We estimated 3-month productivity losses of £1001.01 (95% CI 868.75-1133.27; US $1380.79; 95% CI 1198.35-1563.23) per person for those employed. Only 16.6% (131/790) participants completed the primary outcome assessment. There were no differences in the primary or secondary outcomes between the 2 groups. Conclusions Most participants reached and those eligible for this trial of digital interventions were White women not in recent contact with health services and whose productivity losses represent a significant annual societal burden. A fully automated RCT recruiting directly from the public failed to recruit and retain sufficient participants to test the clinical effectiveness of this digital intervention, primarily because it did not personally engage participants and explain how these unfamiliar interventions might benefit them. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN) 12673428; https://www.isrctn.com/ISRCTN12673428 International Registered Report Identifier (IRRID) RR2-10.2196/resprot.8061
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Affiliation(s)
- Richard Morriss
- Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom
| | | | - Matthew Rawsthorne
- Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom
| | - Neil Coulson
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Sandra Simpson
- Research Delivery Team, Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom
| | - Boliang Guo
- Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom
| | - Marilyn James
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - James Lathe
- Centre for Longitudinal Studies, University College London, London, United Kingdom
| | - Paul Moran
- School of Medicine, University of Bristol, Bristol, United Kingdom
| | - Laila Tata
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Laura Williams
- Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom
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20
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Subba R, Sandhir R, Singh SP, Mallick BN, Mondal AC. Pathophysiology linking depression and type 2 diabetes: Psychotherapy, physical exercise, and fecal microbiome transplantation as damage control. Eur J Neurosci 2021; 53:2870-2900. [PMID: 33529409 DOI: 10.1111/ejn.15136] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 01/10/2021] [Accepted: 01/28/2021] [Indexed: 02/06/2023]
Abstract
Diabetes increases the likelihood of developing depression and vice versa. Research on this bidirectional association has somewhat managed to delineate the interplay among implicated physiological processes. Still, further exploration is required in this context. This review addresses the comorbidity by investigating suspected common pathophysiological mechanisms. One such factor is psychological stress which disturbs the hypothalamic-pituitary-adrenal axis causing hormonal imbalance. This includes elevated cortisol levels, a common biomarker of both depression and diabetes. Disrupted insulin signaling drives the hampered neurotransmission of serotonin, dopamine, and norepinephrine. Also, adipokine hormones such as adiponectin, leptin, and resistin and the orexigenic hormone, ghrelin, are involved in both depression and T2DM. This disarray further interferes with physiological processes encompassing sleep, the gut-brain axis, metabolism, and mood stability. Behavioral coping mechanisms, such as unhealthy eating, mediate disturbed glucose homeostasis, and neuroinflammation. This is intricately linked to oxidative stress, redox imbalance, and mitochondrial dysfunction. However, interventions such as psychotherapy, physical exercise, fecal microbiota transplantation, and insulin-sensitizing agents can help to manage the distressing condition. The possibility of glucagon-like peptide 1 possessing a therapeutic role has also been discussed. Nonetheless, there stands an urgent need for unraveling new correlating targets and biological markers for efficient treatment.
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Affiliation(s)
- Rhea Subba
- School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Rajat Sandhir
- Dept. of Biochemistry, Panjab University, Chandigarh, Punjab, India
| | - Surya Pratap Singh
- Dept. of Biochemistry, Banaras Hindu University, Varanasi, Uttar Pradesh, India
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21
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Digital Interventions for Psychological Comorbidities in Chronic Diseases-A Systematic Review. J Pers Med 2021; 11:jpm11010030. [PMID: 33418971 PMCID: PMC7825345 DOI: 10.3390/jpm11010030] [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: 10/18/2020] [Revised: 12/21/2020] [Accepted: 12/30/2020] [Indexed: 12/13/2022] Open
Abstract
Chronic diseases represent one of the main causes of death worldwide. The integration of digital solutions in clinical interventions is broadly diffused today; however, evidence on their efficacy in addressing psychological comorbidities of chronic diseases is sparse. This systematic review analyzes and synthesizes the evidence about the efficacy of digital interventions on psychological comorbidities outcomes of specific chronic diseases. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic search of PubMed, PsycInfo, Scopus and Web of Science databases was conducted. Only Randomized Controlled Trials (RCTs) were considered and either depression or anxiety had to be assessed to match the selection criteria. Of the 7636 identified records, 17 matched the inclusion criteria: 9 digital interventions on diabetes, 4 on cardiovascular diseases, 3 on Chronic Obstructive Pulmonary Disease (COPD) and one on stroke. Of the 17 studies reviewed, 14 found digital interventions to be effective. Quantitative synthesis highlighted a moderate and significant overall effect of interventions on depression, while the effect on anxiety was small and non-significant. Design elements making digital interventions effective for psychological comorbidities of chronic diseases were singled out: (a) implementing a communication loop with patients and (b) providing disease-specific digital contents. This focus on “how” to design technologies can facilitate the translation of evidence into practice.
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22
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Baldwin PA, Sanatkar S, Clarke J, Fletcher S, Gunn J, Wilhelm K, Campbell L, Zwar N, Harris M, Lapsley H, Hadzi-Pavlovic D, Christensen H, Proudfoot J. A Web-Based Mental Health Intervention to Improve Social and Occupational Functioning in Adults With Type 2 Diabetes (The Springboard Trial): 12-Month Outcomes of a Randomized Controlled Trial. J Med Internet Res 2020; 22:e16729. [PMID: 33258790 PMCID: PMC7738252 DOI: 10.2196/16729] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 02/26/2020] [Accepted: 06/22/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND People with type 2 diabetes mellitus (T2DM) often experience mental health symptoms that exacerbate illness and increase mortality risk. Access to psychological support is low in people with T2DM. Detection of depression is variable in primary care and can be further hampered by mental health stigma. Electronic mental health (eMH) programs may provide an accessible, private, nonstigmatizing mental health solution for this group. OBJECTIVE This study aims to evaluate the efficacy over 12 months of follow-up of an eMH program (myCompass) for improving social and occupational functioning in a community sample of people with T2DM and self-reported mild-to-moderate depressive symptoms. myCompass is a fully automated and self-guided web-based public health program for people with depression or anxiety. The effects of myCompass on depressive symptoms, diabetes-related distress, anxiety symptoms, and self-care behavior were also examined. METHODS Adults with T2DM and mild-to-moderate depressive symptoms (N=780) were recruited via online advertisements, community organizations, and general practices. Screening, consent, and self-report questionnaires were administered online. Eligible participants were randomized to receive either myCompass (n=391) or an attention control generic health literacy program (Healthy Lifestyles; n=379) for 8 weeks. At baseline and at 3, 6, and 12 months postintervention, participants completed the Work and Social Adjustment Scale, the Patient Health Questionnaire-9 item, the Diabetes Distress Scale, the Generalized Anxiety Disorder Questionnaire-7 item, and items from the Self-Management Profile for Type 2 Diabetes. Glycosylated hemoglobin measurements were obtained at baseline and 6 and 12 months postintervention. RESULTS A total of 38.9% (304/780) of the trial participants completed all postintervention assessments. myCompass users logged in on an average of 6 times and completed an average of 0.29 modules. Healthy Lifestyles users logged in on an average of 4 times and completed an average of 1.37 modules. At baseline, the mean scores on several outcome measures, including the primary outcome of work and social functioning, were close to the normal range, despite a varied and extensive recruitment process. Intention-to-treat analyses revealed slightly greater improvement at 12 months in work and social functioning for the Healthy Lifestyles group relative to the myCompass group. All participants reported equivalent improvements in depression anxiety, diabetes distress, diabetes self-management, and glycemic control across the trial. CONCLUSIONS The Healthy Lifestyles group reported higher ratings of social and occupational functioning than the myCompass group, but no differences were observed for any secondary outcome. Although these findings should be interpreted in light of the near-floor symptom scores at baseline, the trial yields important insights into how people with T2DM might be engaged in eMH programs and the challenges of focusing specifically on mental health. Several avenues emerge for continued investigation into how best to deal with the growing mental health burden in adults with T2DM. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry Number (ACTRN) 12615000931572; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368109&isReview=true.
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Affiliation(s)
| | | | | | | | - Jane Gunn
- University of Melbourne, Melbourne, Australia
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23
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Brøgger-Mikkelsen M, Ali Z, Zibert JR, Andersen AD, Thomsen SF. Online Patient Recruitment in Clinical Trials: Systematic Review and Meta-Analysis. J Med Internet Res 2020; 22:e22179. [PMID: 33146627 PMCID: PMC7673977 DOI: 10.2196/22179] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 08/19/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022] Open
Abstract
Background Recruitment for clinical trials continues to be a challenge, as patient recruitment is the single biggest cause of trial delays. Around 80% of trials fail to meet the initial enrollment target and timeline, and these delays can result in lost revenue of as much as US $8 million per day for drug developing companies. Objective This study aimed to conduct a systematic review and meta-analysis examining the effectiveness of online recruitment of participants for clinical trials compared with traditional in-clinic/offline recruitment methods. Methods Data on recruitment rates (the average number of patients enrolled in the study per month and per day of active recruitment) and conversion rates (the percentage of participants screened who proceed to enroll into the clinical trial), as well as study characteristics and patient demographics were collected from the included studies. Differences in online and offline recruitment rates and conversion rates were examined using random effects models. Further, a nonparametric paired Wilcoxon test was used for additional analysis on the cost-effectiveness of online patient recruitment. All data analyses were conducted in R language, and P<.05 was considered significant. Results In total, 3861 articles were screened for inclusion. Of these, 61 studies were included in the review, and 23 of these were further included in the meta-analysis. We found online recruitment to be significantly more effective with respect to the recruitment rate for active days of recruitment, where 100% (7/7) of the studies included had a better online recruitment rate compared with offline recruitment (incidence rate ratio [IRR] 4.17, P=.04). When examining the entire recruitment period in months we found that 52% (12/23) of the studies had a better online recruitment rate compared with the offline recruitment rate (IRR 1.11, P=.71). For cost-effectiveness, we found that online recruitment had a significantly lower cost per enrollee compared with offline recruitment (US $72 vs US $199, P=.04). Finally, we found that 69% (9/13) of studies had significantly better offline conversion rates compared with online conversion rates (risk ratio 0.8, P=.02). Conclusions Targeting potential participants using online remedies is an effective approach for patient recruitment for clinical research. Online recruitment was both superior in regard to time efficiency and cost-effectiveness compared with offline recruitment. In contrast, offline recruitment outperformed online recruitment with respect to conversion rate.
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Affiliation(s)
- Mette Brøgger-Mikkelsen
- Department of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark.,Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Studies&Me A/S, LEO Innovation Lab, Copenhagen, Denmark
| | - Zarqa Ali
- Department of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark.,Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - John R Zibert
- Studies&Me A/S, LEO Innovation Lab, Copenhagen, Denmark
| | | | - Simon Francis Thomsen
- Department of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark.,Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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24
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Ni Y, Ma L, Li J. Effects of Mindfulness-Based Stress Reduction and Mindfulness-Based Cognitive Therapy in People With Diabetes: A Systematic Review and Meta-Analysis. J Nurs Scholarsh 2020; 52:379-388. [PMID: 32406186 DOI: 10.1111/jnu.12560] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2020] [Indexed: 02/05/2023]
Abstract
PURPOSE The purpose of this study was to determine the effectiveness of mindfulness-based stress reduction (MBSR) and mindfulness-based cognitive therapy (MBCT) on depression, quality of life (QoL), and glycosylated hemoglobin (HbA1c) in people with diabetes. DESIGN A systematic literature review and meta-analysis was conducted. METHODS Eight databases (PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature [CINAHL], Cochrane, PsycINFO, and three Chinese databases) were searched for relevant studies from inception to December 2019. Only randomized controlled trials (RCTs) of MBSR and MBCT interventions for people with type 1 and type 2 diabetes were included. FINDINGS Nine studies described in 11 articles were included in the review. Meta-analysis showed a significant effect favoring MBSR and MBCT on depression (standardized mean difference -0.84; 95% confidence interval [CI] -1.16 to -0.51; p < .0001), the mental health composite score of QoL (mean difference [MD] 7.06; 95% CI 5.09 to 9.03; p < .00001), and HbA1c (MD -0.28; 95% CI -0.47 to -0.09; p = .004). However, effects on the physical health composite score of QoL have not been found. CONCLUSIONS MBSR and MBCT are beneficial in improving depression, the mental health composite score of QoL, and HbA1c in people with diabetes. More well-designed trials using longer follow-up measurements are needed. CLINICAL RELEVANCE MBSR and MBCT could be considered as effective complementary treatment alternatives for people with diabetes.
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Affiliation(s)
- Yunxia Ni
- Nurse, West China Hospital/West China School of Nursing, Sichuan University, Sichuan Province, Chengdu, China
| | - Lin Ma
- Nurse, West China Hospital/West China School of Nursing, Sichuan University, Sichuan Province, Chengdu, China
| | - Jiping Li
- Nurse, Department of Nursing, West China Hospital, Sichuan University, Sichuan Province, Chengdu, China
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25
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Oser TK, Oser SM, Parascando JA, Hessler-Jones D, Sciamanna CN, Sparling K, Nease D, Litchman ML. Social Media in the Diabetes Community: a Novel Way to Assess Psychosocial Needs in People with Diabetes and Their Caregivers. Curr Diab Rep 2020; 20:10. [PMID: 32080765 DOI: 10.1007/s11892-020-1294-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Diabetes is a chronic disease that, regardless of type, requires intensive, ongoing self-management. As a result, people with diabetes (PWD) often have complex environmental, social, behavioral, and informational needs, many of which are unmet in healthcare settings and systems. To help meet these needs, many PWD interact with diabetes online communities (DOCs), including platforms such as Facebook, Twitter, and blogs, to share real-life support, problems, and concerns with other PWD, offering a rich source of data on patient-reported outcomes. This article reviews recent psychosocial needs and outcomes identified by studies of DOCs and/or their users. RECENT FINDINGS Participation in DOCs appears driven by a need for psychosocial support, unmet by providers and the healthcare system, as well as a sense of duty to provide it to others. The most common activities observed in DOCs are giving and receiving various types of support: psychosocial, technical, informational, and self-management. General and specific challenges (e.g., continuous glucose monitoring) as well as frustrations and worries associated with those challenges are commonly expressed, leading to reciprocal sharing, support, and encouragement, in a judgment-free manner, from other PWD. This leads users to feel more understood, empowered, validated, less alone, and more supported. Negative findings were reported very rarely and focused more on how other participants used social media rather than on the exchange of misplaced or dangerous information or advice. Diabetes online communities have grown from unmet needs for problem-solving and psychosocial support for living with a complex condition and from the availability of a new communications medium (i.e., social media). This has enabled communities of peers to both seek and receive support for living with diabetes, providing an important supplement to what is provided in healthcare settings and offering valuable information about what is most important to PWD and their families, with the potential to improve psychosocial care.
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Affiliation(s)
- Tamara K Oser
- Department of Family Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, 12631 E. 17th Avenue, Mail Stop F496, Aurora, CO, 80045, USA.
| | - Sean M Oser
- Department of Family Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, 12631 E. 17th Avenue, Mail Stop F496, Aurora, CO, 80045, USA
| | - Jessica A Parascando
- Department of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, USA
| | - Danielle Hessler-Jones
- Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Christopher N Sciamanna
- Departments of Medicine and Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Kerri Sparling
- SixUntilMe.com and KerriSparling.com, Narragansett, RI, USA
| | - Donald Nease
- Department of Family Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, 12631 E. 17th Avenue, Mail Stop F496, Aurora, CO, 80045, USA
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Affiliation(s)
- Neal Kaufman
- Fielding School of Public Health, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
- Canary Health, Inc., Los Angeles, CA
| | - Eran Mel
- The Jesse Z. and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Centre for Childhood Diabetes, Schneider's Children's Medical Center of Israel, Petah Tikva, Israel
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Sanatkar S, Baldwin P, Clarke J, Fletcher S, Gunn J, Wilhelm K, Campbell L, Zwar N, Harris M, Lapsley H, Hadzi-Pavlovic D, Christensen H, Proudfoot J. The influence of personality on trajectories of distress, health and functioning in mild-to-moderately depressed adults with type 2 diabetes. PSYCHOL HEALTH MED 2019; 25:296-308. [PMID: 31537118 DOI: 10.1080/13548506.2019.1668567] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Identification of mental health risk is important for optimising diabetes care in type 2 diabetes mellitus (T2DM). Personality is linked to diabetes health and may assist detection of individuals with T2DM most at risk of chronic mental health difficulties. This study examined the moderator effect of personality factors on changes in psychological distress and functioning in adults with T2DM and mild-to-moderate depressive symptoms across a 12-month period. Data were obtained from participants in a randomised controlled trial of adults with T2DM. Participants completed measures of depression (Patient Health Questionnaire-9), anxiety (General Anxiety Disorder-7), general functioning (Work and Social Adjustment Scale), diabetes distress (Diabetes Distress Scale), and diabetes self-management (Self-Management Profile for Type 2 Diabetes) at baseline, 3-, 6- and 12-months. Glycaemic control (HbA1c) was measured at baseline, 6- and 12-months. Two hundred trial completers agreed to complete a personality inventory (Big Five Inventory). Low neuroticism was linked with reduced depression, anxiety, functional impairment and diabetes distress over the year. High extraversion was associated with decreased anxiety and functional impairment. High conscientiousness was linked to increased healthy eating. No personality trait moderated HbA1c levels. Personality screening may help identify mental health risk and guide medical carer approach in T2DM patients.
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Affiliation(s)
- Samineh Sanatkar
- Black Dog Institute, Sydney, Australia.,School of Psychiatry, UNSW Sydney, Sydney, Australia
| | - Peter Baldwin
- Black Dog Institute, Sydney, Australia.,School of Psychiatry, UNSW Sydney, Sydney, Australia
| | - Janine Clarke
- Black Dog Institute, Sydney, Australia.,School of Psychiatry, UNSW Sydney, Sydney, Australia
| | - Susan Fletcher
- Department of General Practice, University of Melbourne, Victoria, Australia
| | - Jane Gunn
- Department of General Practice, University of Melbourne, Victoria, Australia
| | - Kay Wilhelm
- School of Psychiatry, UNSW Sydney, Sydney, Australia
| | - Lesley Campbell
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, Australia
| | - Nick Zwar
- School of Medicine, University of Wollongong, Wollongong, Australia
| | - Mark Harris
- Centre for Primary Health Care and Equity, UNSW Sydney, Sydney, Australia
| | - Helen Lapsley
- School of Psychiatry, UNSW Sydney, Sydney, Australia
| | | | - Helen Christensen
- Black Dog Institute, Sydney, Australia.,School of Psychiatry, UNSW Sydney, Sydney, Australia
| | - Judith Proudfoot
- Black Dog Institute, Sydney, Australia.,School of Psychiatry, UNSW Sydney, Sydney, Australia
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