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Bell IH, Eisner E, Allan S, Cartner S, Torous J, Bucci S, Thomas N. Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis. Schizophr Bull 2024; 50:238-265. [PMID: 37606276 PMCID: PMC10919779 DOI: 10.1093/schbul/sbad127] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
BACKGROUND Ecological momentary assessment (EMA) involves completing multiple surveys over time in daily life, capturing in-the-moment experiences in real-world contexts. EMA use in psychosis studies has surged over several decades. To critically examine EMA use in psychosis research and assist future researchers in designing new EMA studies, this systematic review aimed to summarize the methodological approaches used for positive symptoms in psychosis populations and evaluate feasibility with a focus on completion rates. METHODS A systematic review of PubMed, PsycINFO, MEDLINE, Web of Science, EBSCOhost, and Embase databases using search terms related to EMA and psychosis was conducted. Excluding duplicate samples, a meta-analysis was conducted of EMA survey completion rates and meta-regression to examine predictors of completion. RESULTS Sixty-eight studies were included in the review. Characteristics and reporting of EMA methodologies were variable across studies. The meta-mean EMA survey completion computed from the 39 unique studies that reported a mean completion rate was 67.15% (95% CI = 62.3, 71.9), with an average of 86.25% of the sample meeting a one-third EMA completion criterion. No significant predictors of completion were found in the meta-regression. A variety of EMA items were used to measure psychotic experiences, of which few were validated. CONCLUSIONS EMA methods have been widely applied in psychosis studies using a range of protocols. Completion rates are high, providing clear evidence of feasibility in psychosis populations. Recommendations for reporting in future studies are provided.
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Affiliation(s)
- Imogen H Bell
- Orygen The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | | | - Sharla Cartner
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Neil Thomas
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
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Zhang X, Lewis S, Carter LA, Chen X, Zhou J, Wang X, Bucci S. Evaluating a smartphone-based symptom self-monitoring app for psychosis in China (YouXin): A non-randomised validity and feasibility study with a mixed-methods design. Digit Health 2024; 10:20552076231222097. [PMID: 38188856 PMCID: PMC10768587 DOI: 10.1177/20552076231222097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/05/2023] [Indexed: 01/09/2024] Open
Abstract
Background Psychosis causes a significant burden globally, including in China, where limited mental health resources hinder access to care. Smartphone-based remote monitoring offers a promising solution. This study aimed to assess the validity, feasibility, acceptability, and safety of a symptom self-monitoring smartphone app, YouXin, for people with psychosis in China. Methods A pre-registered non-randomised validity and feasibility study with a mixed-methods design. Participants with psychosis were recruited from a major tertiary psychiatric hospital in Beijing, China. Participants utilised the YouXin app to self-monitor psychosis and mood symptoms for four weeks. Feasibility outcomes were recruitment, retention and outcome measures completeness. Active symptom monitoring (ASM) validity was tested against corresponding clinical assessments (PANSS and CDS) using Spearman correlation. Ten participants completed qualitative interviews at study end to explore acceptability of the app and trial procedures. Results Feasibility parameters were met. The target recruitment sample of 40 participants was met, with 82.5% completing outcome measures, 60% achieving acceptable ASM engagement (completing >33% of all prompts), and 33% recording sufficient passive monitoring data to extract mobility indicators. Five ASM domains (hallucinations, suspiciousness, guilt feelings, delusions, grandiosity) achieved moderate correlation with clinical assessment. Both quantitative and qualitative evaluation showed high acceptability of YouXin. Clinical measurements indicated no symptom and functional deterioration. No adverse events were reported, suggesting YouXin is safe to use in this clinical population. Conclusions The trial feasibility, acceptability and safety parameters were met and a powered efficacy study is indicated. However, refinements are needed to improve ASM validity and increase passive monitoring data completeness.
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Affiliation(s)
- Xiaolong Zhang
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Shôn Lewis
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Lesley-Anne Carter
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
| | - Xu Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jiaojiao Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xingyu Wang
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
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Eghdami S, Ahmadkhaniha HR, Baradaran HR, Hirbod-Mobarakeh A. Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1431-1445. [PMID: 37269310 DOI: 10.1007/s00127-023-02503-2] [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: 12/07/2022] [Accepted: 05/25/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND AND OBJECTIVES Tobacco use is an important cause of preventable mortality and morbidity worldwide. Only 7% of smokers successfully quit annually, despite numerous evidence-based smoking cessation treatments. An important reason for failure is barriers to accessing appropriate smoking cessation interventions, which can be minimized by technology-delivered interventions, such as ecological momentary interventions. Ecological momentary interventions provide the right type and intensity of treatment in real time, based on ecological momentary assessments of relevant variables. The aim of this review was to assess the effectiveness of ecological momentary interventions in smoking cessation. METHODS We searched MEDLINE, Scopus, CENTRAL, psychINFO, and ProQuest without applying any filters on 19 September, 2022. One author screened search results for obvious irrelevant and duplicate studies. The remaining studies were independently reviewed by two authors to exclude irrelevant studies, and then they extracted data from the included studies. We collated study findings, transformed data into a common rubric, and calculated a weighted treatment effect across studies using Review Manager 5. FINDINGS We analyzed 10 studies with a total of 2391 participants. Assessment methods included exhaled CO analyzers, bidirectional SMS, data input in apps, and hand movement detection. Interventions were based on acceptance and commitment therapy and cognitive behavioral therapy. Smoking abstinence was significantly higher in participants of intervention groups compared to control groups (RR = 1.24; 95% CI 1.07-1.44, P = 0.004; I2 = 0%). CONCLUSION Ecological momentary intervention is a novel area of research in behavioral science. The results of this systematic review based on the available literature suggest that these interventions could be beneficial for smoking cessation.
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Affiliation(s)
- Shayan Eghdami
- Research Committee, School of Medicine, Iran University of Medical Sciences, Hemat Highway, Next to Milad Tower, Tehran, 14535, Iran.
| | - Hamid R Ahmadkhaniha
- Research Center for Addiction and Risky Behaviors, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hamid R Baradaran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Ageing Clinical and Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Armin Hirbod-Mobarakeh
- Research Center for Addiction and Risky Behaviors, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Hirbod Psychiatric and Psychologic Club (BAVAR), Tehran, Iran
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Zhang X, Lewis S, Carter LA, Bucci S. A Digital System (YouXin) to Facilitate Self-Management by People With Psychosis in China: Protocol for a Nonrandomized Validity and Feasibility Study With a Mixed Methods Design. JMIR Res Protoc 2023; 12:e45170. [PMID: 37698905 PMCID: PMC10523209 DOI: 10.2196/45170] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Psychosis is one of the most disabling mental health conditions and causes significant personal, social, and economic burden. Accurate and timely symptom monitoring is critical to offering prompt and time-sensitive clinical services. Digital health is a promising solution for the barriers encountered by conventional symptom monitoring approaches, including accessibility, the ecological validity of assessments, and recall bias. However, to date, there has been no digital health technology developed to support self-management for people with psychosis in China. OBJECTIVE We report the study protocol to evaluate the validity, feasibility, acceptability, usability, and safety of a symptom self-monitoring smartphone app (YouXin; Chinese name ) for people with psychosis in China. METHODS This is a nonrandomized validity and feasibility study with a mixed methods design. The study was approved by the University of Manchester and Beijing Anding Hospital Research Ethics Committee. YouXin is a smartphone app designed to facilitate symptom self-monitoring for people with psychosis. YouXin has 2 core functions: active monitoring of symptoms (ie, smartphone survey) and passive monitoring of behavioral activity (ie, passive data collection via embedded smartphone sensors). The development process of YouXin utilized a systematic coproduction approach. A series of coproduction consultation meetings was conducted by the principal researcher with service users and clinicians to maximize the usability and acceptability of the app for end users. Participants with psychosis aged 16 years to 65 years were recruited from Beijing Anding Hospital, Beijing, China. All participants were invited to use the YouXin app to self-monitor symptoms for 4 weeks. At the end of the 4-week follow-up, we invited participants to take part in a qualitative interview to explore the acceptability of the app and trial procedures postintervention. RESULTS Recruitment to the study was initiated in August 2022. Of the 47 participants who were approached for the study from August 2022 to October 2022, 41 participants agreed to take part in the study. We excluded 1 of the 41 participants for not meeting the inclusion criteria, leaving a total of 40 participants who began the study. As of December 2022, 40 participants had completed the study, and the recruitment was complete. CONCLUSIONS This study is the first to develop and test a symptom self-monitoring app specifically designed for people with psychosis in China. If the study shows the feasibility of YouXin, a potential future direction is to integrate the app into clinical workflows to facilitate digital mental health care for people with psychosis in China. This study will inform improvements to the app, trial procedures, and implementation strategies with this population. Moreover, the findings of this trial could lead to optimization of digital health technologies designed for people with psychosis in China. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/45170.
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Affiliation(s)
- Xiaolong Zhang
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Shôn Lewis
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Lesley-Anne Carter
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
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Grasa E, Seppälä J, Alonso-Solis A, Haapea M, Isohanni M, Miettunen J, Caro Mendivelso J, Almazan C, Rubinstein K, Caspi A, Unoka Z, Farkas K, Usall J, Ochoa S, van der Graaf S, Jewell C, Triantafillou A, Stevens M, Reixach E, Berdun J, Corripio I. m-RESIST, a Mobile Therapeutic Intervention for Treatment-Resistant Schizophrenia: Feasibility, Acceptability, and Usability Study. JMIR Form Res 2023; 7:e46179. [PMID: 37389933 PMCID: PMC10365616 DOI: 10.2196/46179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND In the European Union, around 5 million people are affected by psychotic disorders, and approximately 30%-50% of people with schizophrenia have treatment-resistant schizophrenia (TRS). Mobile health (mHealth) interventions may be effective in preventing relapses, increasing treatment adherence, and managing some of the symptoms of schizophrenia. People with schizophrenia seem willing and able to use smartphones to monitor their symptoms and engage in therapeutic interventions. mHealth studies have been performed with other clinical populations but not in populations with TRS. OBJECTIVE The purpose of this study was to present the 3-month prospective results of the m-RESIST intervention. This study aims to assess the feasibility, acceptability, and usability of the m-RESIST intervention and the satisfaction among patients with TRS after using this intervention. METHODS A prospective multicenter feasibility study without a control group was undertaken with patients with TRS. This study was performed at 3 sites: Sant Pau Hospital (Barcelona, Spain), Semmelweis University (Budapest, Hungary), and Sheba Medical Center and Gertner Institute of Epidemiology and Health Policy Research (Ramat-Gan, Israel). The m-RESIST intervention consisted of a smartwatch, a mobile app, a web-based platform, and a tailored therapeutic program. The m-RESIST intervention was delivered to patients with TRS and assisted by mental health care providers (psychiatrists and psychologists). Feasibility, usability, acceptability, and user satisfaction were measured. RESULTS This study was performed with 39 patients with TRS. The dropout rate was 18% (7/39), the main reasons being as follows: loss to follow-up, clinical worsening, physical discomfort of the smartwatch, and social stigma. Patients' acceptance of m-RESIST ranged from moderate to high. The m-RESIST intervention could provide better control of the illness and appropriate care, together with offering user-friendly and easy-to-use technology. In terms of user experience, patients indicated that m-RESIST enabled easier and quicker communication with clinicians and made them feel more protected and safer. Patients' satisfaction was generally good: 78% (25/32) considered the quality of service as good or excellent, 84% (27/32) reported that they would use it again, and 94% (30/32) reported that they were mostly satisfied. CONCLUSIONS The m-RESIST project has provided the basis for a new modular program based on novel technology: the m-RESIST intervention. This program was well-accepted by patients in terms of acceptability, usability, and satisfaction. Our results offer an encouraging starting point regarding mHealth technologies for patients with TRS. TRIAL REGISTRATION ClinicalTrials.gov NCT03064776; https://clinicaltrials.gov/ct2/show/record/NCT03064776. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2017-021346.
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Affiliation(s)
- Eva Grasa
- Mental Health, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Jussi Seppälä
- Social Insurance Institution of Finland, Kuopio, Finland
- Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - Anna Alonso-Solis
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Mental Health Division, Fundació Althaia, Xarxa Assistencial Universitaria de Manresa, Manresa, Spain
| | - Marianne Haapea
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Psychiatry, Oulu University Hospital, Oulu, Finland
| | - Matti Isohanni
- Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - Jouko Miettunen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | | | - Cari Almazan
- Agency for Health Quality and Assessment of Catalonia (AQuAS), Barcelona, Spain
| | - Katya Rubinstein
- The Gertner Institute of Epidemiology and Health Policy Research, Sheba Medical Center, Tel-Aviv University, Tel-Aviv, Israel
| | - Asaf Caspi
- The Gertner Institute of Epidemiology and Health Policy Research, Sheba Medical Center, Tel-Aviv University, Tel-Aviv, Israel
| | - Zsolt Unoka
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Kinga Farkas
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Judith Usall
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Etiopatogènia i tractament dels trastorns mentals greus (MERITT), Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Susana Ochoa
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Etiopatogènia i tractament dels trastorns mentals greus (MERITT), Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | | | | | | | - Matthias Stevens
- EDiT Department, imec, Ghent/Antwerp, Belgium
- Solutions Department, imec, Leuven, Belgium
| | - Elisenda Reixach
- TicSalut Health Department, Generalitat de Catalunya, Barcelona, Spain
| | - Jesus Berdun
- Digital Health Unit, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Iluminada Corripio
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
- Mental Health and Psychiatry Department, Vic Hospital Consortium, Vic, Spain
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Eisner E, Berry N, Morris R, Emsley R, Haddock G, Machin M, Hassan L, Bucci S. Exploring engagement with the CBT-informed Actissist smartphone application for early psychosis. J Ment Health 2023; 32:643-654. [PMID: 36850040 DOI: 10.1080/09638237.2023.2182429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/24/2022] [Accepted: 10/26/2022] [Indexed: 03/01/2023]
Abstract
BACKGROUND Individuals with psychosis report favourable attitudes towards psychological interventions delivered via smartphone apps. Evidence for acceptability, safety, feasibility and efficacy is promising but in-depth reporting of app engagement in trials is sparse. AIMS To examine how people with psychosis engaged with the cognitive behaviour therapy (CBT)-informed Actissist app over a 12-week intervention period, and to examine factors associated with app engagement. METHODS Secondary data from participants in the intervention arm (n = 24) of a proof-of-concept randomised controlled trial of the Actissist app were analysed. The app prompted participants to engage with app-based CBT-informed material in five domains (voices, socialization, cannabis use, paranoia, perceived criticism) at pseudo-random intervals (three notifications per day, six days per week). Participants could self-initiate use any time. App use was financially incentivised. RESULTS Participants responded to 47% of app notifications. Most app engagements (87%) were app-initiated rather than self-initiated. Participants engaged most with the voices domain, then paranoia. Age and employment status were significantly associated with overall app engagement. CONCLUSION Individuals with psychosis engaged well with Actissist, particularly with areas focussing on voice-hearing and paranoia. App-generated reminders successfully prompted app engagement. As financial incentives may have increased app engagement, future studies of non-incentivized engagement in larger samples are needed.
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Affiliation(s)
- Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Natalie Berry
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Rohan Morris
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gillian Haddock
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Matthew Machin
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
| | - Lamiece Hassan
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
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7
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Siopis G, Moschonis G, Eweka E, Jung J, Kwasnicka D, Asare BYA, Kodithuwakku V, Willems R, Verhaeghe N, Annemans L, Vedanthan R, Oldenburg B, Manios Y. Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials. Lancet Digit Health 2023; 5:e144-e159. [PMID: 36828607 DOI: 10.1016/s2589-7500(23)00002-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 12/15/2022] [Accepted: 01/04/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Digital health interventions are effective for hypertension self-management, but a comparison of the effectiveness and implementation of the different modes of interventions is not currently available. This study aimed to compare the effectiveness of SMS, smartphone application, and website interventions on improving blood pressure in adults with hypertension, and to report on their reach, uptake, and feasibility. METHODS In this systematic review and meta-analysis we searched CINAHL Complete, Cochrane Central Register of Controlled Trials, Ovid Embase, Ovid MEDLINE, and APA PsycInfo on May 25, 2022, for randomised controlled trials (RCTs) published in English from Jan 1, 2009, that examined the effectiveness of digital health interventions on reducing blood pressure in adults with hypertension. Screening was carried out using Covidence, and data were extracted following Cochrane's guidelines. The primary endpoint was change in the mean of systolic blood pressure. Risk of bias was assessed with Cochrane Risk of Bias 2. Data on systolic and diastolic blood pressure reduction were synthesised in a meta-analysis, and data on reach, uptake and feasibility were summarised narratively. Grading of Recommendations, Assessment, Development, and Evaluation criteria were used to evaluate the level of evidence. The study was registered with PROSPERO CRD42021247845. FINDINGS Of the 3235 records identified, 29 RCTs from 13 regions (n=7592 participants) were included in the systematic review, and 28 of these RCTs (n=7092 participants) were included in the meta-analysis. 11 studies used SMS as the primary mode of delivery of the digital health intervention, 13 used smartphone applications, and five used websites. Overall, digital health intervention group participants had a -3·62 mm Hg (95% CI -5·22 to -2·02) greater reduction in systolic blood pressure, and a -2·45 mm Hg (-3·83 to -1·07) greater reduction in diastolic blood pressure, compared with control group participants. No statistically significant differences between the three different modes of delivery were observed for both the systolic (p=0·73) and the diastolic blood pressure (p=0·80) outcomes. Smartphone application interventions had a statistically significant reduction in diastolic blood pressure (-2·45 mm Hg [-4·15 to -0·74]); however, there were no statistically significant reductions for SMS interventions (-1·80 mm Hg [-4·60 to 1·00]) or website interventions (-3·43 mm Hg [-7·24 to 0·38]). Due to the considerable heterogeneity between included studies and the high risk of bias in some, the level of evidence was assigned a low overall score. Interventions were more effective among people with greater severity of hypertension at baseline. SMS interventions reported higher reach and smartphone application studies reported higher uptake, but differences were not statistically significant. INTERPRETATION SMS, smartphone application, and website interventions were associated with statistically and clinically significant systolic and diastolic blood pressure reductions, compared with usual care, regardless of the mode of delivery of the intervention. This conclusion is tempered by the considerable heterogeneity of included studies and the high risk of bias in most. Future studies need to describe in detail the mediators and moderators of the effectiveness and implementation of these interventions, to both further improve their effectiveness as well as increase their reach, uptake, and feasibility. FUNDING European Union's Horizon 2020 Research and Innovation Programme.
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Affiliation(s)
- George Siopis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia; Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
| | - George Moschonis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia
| | - Evette Eweka
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Jenny Jung
- Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, VIC, Australia
| | - Dominika Kwasnicka
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | - Vimarsha Kodithuwakku
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Ruben Willems
- Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium
| | - Nick Verhaeghe
- Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium; Research Institute for Work and Society, HIVA KU Leuven, Leuven, Belgium
| | - Lieven Annemans
- Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium
| | - Rajesh Vedanthan
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Brian Oldenburg
- Academic and Research Collaborative in Health, La Trobe University, Melbourne, VIC, Australia; NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece; Institute of Agri-food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
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8
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Al Dameery K, Valsaraj BP, Qutishat M, Obeidat A, Alkhawaldeh A, Al Sabei S, Al Omari O, ALBashtawy M, Al Qadire M. Enhancing Medication Adherence Among Patients With Schizophrenia and Schizoaffective Disorder: Mobile App Intervention Study. SAGE Open Nurs 2023; 9:23779608231197269. [PMID: 37655277 PMCID: PMC10467252 DOI: 10.1177/23779608231197269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/16/2023] [Accepted: 08/05/2023] [Indexed: 09/02/2023] Open
Abstract
Introduction Technology has permeated every aspect of our existence and the mental health sector is not exempt from this. Objectives The aim of this study was to test the impact of using a mobile phone app (MyTherapy pill reminder and medication tracker) on medication adherence in patients with schizophrenia and/or schizoaffective disorder. Methods Time series design was used. Fifty-one participants were recruited from tertiary hospitals in Oman. The Medication Adherence Rating Scale was used for assessing medication adherence. The data related to medication adherence were collected at baseline, 3 months later and 3 months after installing the program on participants' smartphones. SPSS data set used to analyze the data. Results A repeated-measures ANOVA found no significant change in the level of adherence among patients with schizophrenia and schizoaffective disorders at the start and 12 weeks later when the mobile app was installed (p = .371). However, adherence scores improved significantly 12 weeks after installation of mobile app compared with the same group at the baseline and 12 weeks before the installation of mobile app (p < .001). Conclusion The mobile phone app was effective in improving the adherence level among patients. Installation of the program and teaching patients how to use it to improve their level of adherence is recommended.
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Affiliation(s)
| | | | | | - Arwa Obeidat
- College of Nursing, Sultan Qaboos University, Muscat, Oman
| | | | | | - Omar Al Omari
- College of Nursing, Sultan Qaboos University, Muscat, Oman
| | | | - Mohammad Al Qadire
- College of Nursing, Sultan Qaboos University, Muscat, Oman
- Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan
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9
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Kalenderian E, White J, Yansane AI, Urata J, Holmes D, Funkhouser K, Mungia R, Xiao J, Rauschenberger C, Ibarra-Noriega A, Tran D, Rindal DB, Spallek H, Walji M. Study protocol: understanding pain after dental procedures, an observational study within the National Dental PBRN. BMC Oral Health 2022; 22:581. [PMID: 36494795 PMCID: PMC9733211 DOI: 10.1186/s12903-022-02573-9] [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: 10/21/2022] [Accepted: 11/08/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Patient-reported outcome measures provide an essential perspective on the quality of health care provided. However, how data are collected, how providers value and make sense of the data, and, ultimately, use the data to create meaningful impact all influence the success of using patient-reported outcomes. OBJECTIVES The primary objective is to assess post-operative pain experiences by dental procedure type through 21 days post-procedure as reported by patients following dental procedures and assess patients' satisfaction with pain management following dental surgical procedures. Secondary objectives are to: 1) assess post-operative pain management strategies 1 week following dental surgical procedures, as recommended by practitioners and reported by patients, and 2) evaluate practitioner and patient acceptance of the FollowApp.Care post visit patient monitoring technology (FollowApp.Care). We will evaluate FollowApp.Care usage, perceived usefulness, ease of use, and impact on clinical workload. DESIGN AND METHODS We describe the protocol for an observational study involving the use of the FollowApp.Care platform, an innovative mobile application that collects dental patients' assessments of their post-operative symptoms (e.g., pain). The study will be conducted in collaboration with the National Dental Practice-based Research Network, a collective Network of dental practices that include private and group practices, public health clinics, community health centers and Federal Qualified Health Centers, academic institutional settings, and special patient populations. We will recruit a minimum of 150 and up to 215 dental providers and up to 3147 patients who will receive push notifications through text messages FollowApp.Care on their mobile phones at designated time intervals following dental procedures. This innovative approach of implementing an existing and tested mobile health system technology into the real-world dental office setting will actively track pain and other complications following dental procedures. Through patients' use of their mobile phones, we expect to promptly and precisely identify specific pain levels and other issues after surgical dental procedures. The study's primary outcome will be the patients' reported pain experiences. Secondary outcomes include pain management strategies and medications implemented by the patient and provider and perceptions of usefulness and ease of use by patients and providers.
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Affiliation(s)
- Elisabeth Kalenderian
- grid.424087.d0000 0001 0295 4797Academic Center for Dentistry at Amsterdam (ACTA), Gustav Mahlerlaan 3004, Room 6N-09, 1081 Amsterdam, LA The Netherlands ,grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA ,grid.38142.3c000000041936754XHarvard School of Dental Medicine, Boston, MA USA ,grid.49697.350000 0001 2107 2298University of Pretoria, School of Dentistry, Pretoria, South Africa
| | - Joel White
- grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA
| | - Alfa-Ibrahim Yansane
- grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA
| | - Janelle Urata
- grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA
| | - David Holmes
- FollowApp.Care, London, England ,Private Dental Practice, Periodontics and Implant Dentistry, 19 Wimpole St, W1G 8GE London, London UK
| | - Kimberly Funkhouser
- grid.414876.80000 0004 0455 9821Kaiser Permanente Center for Health Research, 3800 N. Interstate Avenue, Portland, OR 97227-1098 USA
| | - Rahma Mungia
- UTHealth San Antonio, School of Dentistry, San Antonio, TX USA
| | - Jin Xiao
- Department of Dentsitry, Eastman Institute for Oral Health, National Dental PBRN, 625 Elmwood Ave, Box 683, Rochester, NY 14620 USA
| | - Cindy Rauschenberger
- Department of Dentsitry, Eastman Institute for Oral Health, National Dental PBRN, 625 Elmwood Ave, Box 683, Rochester, NY 14620 USA
| | - Ana Ibarra-Noriega
- grid.267308.80000 0000 9206 2401The University of Texas Health Science Center at Houston, School of Dentistry, Diagnostic and Biomedical Sciences, Research Office, 7500 Cambridge Street, room 4334, Houston, TX 77054 USA
| | - Duong Tran
- grid.267308.80000 0000 9206 2401The University of Texas Health Science Center at Houston, School of Dentistry, Diagnostic and Biomedical Sciences, Research Office, 7500 Cambridge Street, room 4334, Houston, TX 77054 USA
| | - D. Brad Rindal
- grid.280625.b0000 0004 0461 4886HealthPartners Institute for Education and Research, 8170 33rd Avenue South, P.O. Box 1524, MS 23301A, Bloomington, MN 55440-1524 USA
| | - Heiko Spallek
- grid.1013.30000 0004 1936 834XUniversity of Sydney, School of Dentistry, 2 Chalmers St., Surry Hills, Sydney, NSW 2010 Australia
| | - Muhammad Walji
- grid.267308.80000 0000 9206 2401The University of Texas Health Science Center at Houston, School of Dentistry, Diagnostic and Biomedical Sciences, Research Office, 7500 Cambridge Street, room 4334, Houston, TX 77054 USA
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10
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Stuck Inside: How Social Functioning in Schizophrenia Changed During the COVID-19 Pandemic. J Nerv Ment Dis 2022; 210:915-924. [PMID: 35703234 PMCID: PMC9712495 DOI: 10.1097/nmd.0000000000001558] [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] [Indexed: 01/07/2023]
Abstract
Social distancing policies enacted during the COVID-19 pandemic altered our social interactions. People with schizophrenia, who already exhibit social deficits, may have been disproportionally impacted. In this pilot study, we a) compared prepandemic social functioning to functioning during the pandemic in people with schizophrenia ( n = 21) who had data at both time points; and b) examined if patterns of decline in schizophrenia differed from healthy controls ( n = 21) across a series of repeated-measures analyses of variance. We observed larger declines in social functioning in schizophrenia (η 2 = 0.07, medium effect size) during the pandemic compared with the control group. Between-group declines did not extend to other domains, suggesting that declines are specific to social functioning. Our findings signal that treatments focusing on reconnecting people with schizophrenia to their social networks should be prioritized. Future studies should continue tracking social functioning after the pandemic to illustrate patterns of recovery.
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11
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Deakin E, Ng F, Young E, Thorpe N, Newby C, Coupland C, Craven M, Slade M. Design decisions and data completeness for experience sampling methods used in psychosis: systematic review. BMC Psychiatry 2022; 22:669. [PMID: 36307752 PMCID: PMC9617456 DOI: 10.1186/s12888-022-04319-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/18/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The experience sampling method (ESM) is an intensive longitudinal research method. Participants complete questionnaires at multiple times about their current or very recent state. The design of ESM studies is complex. People with psychosis have been shown to be less adherent to ESM study protocols than the general population. It is not known how to design studies that increase adherence to study protocols. A lack of typology makes it is hard for researchers to decide how to collect data in a way that allows for methodological rigour, quality of reporting, and the ability to synthesise findings. The aims of this systematic review were to characterise the design choices made in ESM studies monitoring the daily lives of people with psychosis, and to synthesise evidence relating the data completeness to different design choices. METHODS A systematic review was conducted of published literature on studies using ESM with people with psychosis. Studies were included if they used digital technology for data collection and reported the completeness of the data set. The constant comparative method was used to identify design decisions, using inductive identification of design decisions with simultaneous comparison of design decisions observed. Weighted regression was used to identify design decisions that predicted data completeness. The review was pre-registered (PROSPERO CRD42019125545). RESULTS Thirty-eight studies were included. A typology of design choices used in ESM studies was developed, which comprised three superordinate categories of design choice: Study context, ESM approach and ESM implementation. Design decisions that predict data completeness include type of ESM protocol used, length of time participants are enrolled in the study, and if there is contact with the research team during data collection. CONCLUSIONS This review identified a range of design decisions used in studies using ESM in the context of psychosis. Design decisions that influence data completeness were identified. Findings will help the design and reporting of future ESM studies. Results are presented with the focus on psychosis, but the findings can be applied across different mental health populations.
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Affiliation(s)
- Emilia Deakin
- School of Health Sciences, Institute of Mental Health, University of Nottingham, Triumph Road, Nottingham, NG7 2TU, UK. .,Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK. .,Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK.
| | - Fiona Ng
- grid.4563.40000 0004 1936 8868School of Health Sciences, Institute of Mental Health, University of Nottingham, Triumph Road, Nottingham, NG7 2TU UK
| | - Emma Young
- grid.439378.20000 0001 1514 761XNottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - Naomi Thorpe
- grid.439378.20000 0001 1514 761XNottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - Christopher Newby
- grid.4563.40000 0004 1936 8868School of Medicine, University of Nottingham, Nottingham, UK
| | - Carol Coupland
- grid.4563.40000 0004 1936 8868School of Medicine, University of Nottingham, Nottingham, UK
| | - Michael Craven
- grid.4563.40000 0004 1936 8868Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK ,grid.4563.40000 0004 1936 8868Human Factors Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK ,grid.4563.40000 0004 1936 8868Institute of Mental Health, NIHR MindTech MedTech Co-Operative, University of Nottingham, Nottingham, UK
| | - Mike Slade
- grid.4563.40000 0004 1936 8868School of Health Sciences, Institute of Mental Health, University of Nottingham, Triumph Road, Nottingham, NG7 2TU UK ,grid.4563.40000 0004 1936 8868Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK ,grid.465487.cNord University, Postboks 474, 7801 Namsos, Norway
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12
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Pinto da Costa M. An Intervention to Connect Patients With Psychosis and Volunteers via Smartphone (the Phone Pal): Development Study. JMIR Form Res 2022; 6:e35086. [PMID: 35653171 PMCID: PMC9204578 DOI: 10.2196/35086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 03/16/2022] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Intervention development is a critical stage. However, evidence indicates that the substandard reporting of intervention details is widespread. OBJECTIVE This study aimed to provide an overview of the guiding frameworks, methodology, and stages for the design and construction of a new complex intervention-the Phone Pal. METHODS The intervention development process followed the Medical Research Council framework for developing complex interventions as well as the person-based approach. The intervention was developed following the evidence synthesis of a literature review, a focus group study, and a survey after consultation and input from advisory groups with a range of stakeholders, including patients, volunteers, clinicians, and academics. RESULTS The developed logic model outlines the contextual factors, intervention, mechanisms of change, and short- and long-term outcomes. The operationalized intervention required matching 1 patient with 1 volunteer to communicate with each other through a smartphone via SMS text messages, WhatsApp messages or email, and audio or video calls. Each participant was encouraged to communicate with their match at least once per week for a 12-week period using informal conversation. CONCLUSIONS The systematic process and theoretically sound strategy through which this intervention was developed can provide insights to future researchers on the reality of developing and preparing the operationalization of a digital intervention using multiple components.
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Affiliation(s)
- Mariana Pinto da Costa
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.,Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
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- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
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13
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Gumley AI, Bradstreet S, Ainsworth J, Allan S, Alvarez-Jimenez M, Birchwood M, Briggs A, Bucci S, Cotton S, Engel L, French P, Lederman R, Lewis S, Machin M, MacLennan G, McLeod H, McMeekin N, Mihalopoulos C, Morton E, Norrie J, Reilly F, Schwannauer M, Singh SP, Sundram S, Thompson A, Williams C, Yung A, Aucott L, Farhall J, Gleeson J. Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT. Health Technol Assess 2022; 26:1-174. [PMID: 35639493 DOI: 10.3310/hlze0479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Relapse is a major determinant of outcome for people with a diagnosis of schizophrenia. Early warning signs frequently precede relapse. A recent Cochrane Review found low-quality evidence to suggest a positive effect of early warning signs interventions on hospitalisation and relapse. OBJECTIVE How feasible is a study to investigate the clinical effectiveness and cost-effectiveness of a digital intervention to recognise and promptly manage early warning signs of relapse in schizophrenia with the aim of preventing relapse? DESIGN A multicentre, two-arm, parallel-group cluster randomised controlled trial involving eight community mental health services, with 12-month follow-up. SETTINGS Glasgow, UK, and Melbourne, Australia. PARTICIPANTS Service users were aged > 16 years and had a schizophrenia spectrum disorder with evidence of a relapse within the previous 2 years. Carers were eligible for inclusion if they were nominated by an eligible service user. INTERVENTIONS The Early signs Monitoring to Prevent relapse in psychosis and prOmote Wellbeing, Engagement, and Recovery (EMPOWER) intervention was designed to enable participants to monitor changes in their well-being daily using a mobile phone, blended with peer support. Clinical triage of changes in well-being that were suggestive of early signs of relapse was enabled through an algorithm that triggered a check-in prompt that informed a relapse prevention pathway, if warranted. MAIN OUTCOME MEASURES The main outcomes were feasibility of the trial and feasibility, acceptability and usability of the intervention, as well as safety and performance. Candidate co-primary outcomes were relapse and fear of relapse. RESULTS We recruited 86 service users, of whom 73 were randomised (42 to EMPOWER and 31 to treatment as usual). Primary outcome data were collected for 84% of participants at 12 months. Feasibility data for people using the smartphone application (app) suggested that the app was easy to use and had a positive impact on motivations and intentions in relation to mental health. Actual app usage was high, with 91% of users who completed the baseline period meeting our a priori criterion of acceptable engagement (> 33%). The median time to discontinuation of > 33% app usage was 32 weeks (95% confidence interval 14 weeks to ∞). There were 8 out of 33 (24%) relapses in the EMPOWER arm and 13 out of 28 (46%) in the treatment-as-usual arm. Fewer participants in the EMPOWER arm had a relapse (relative risk 0.50, 95% confidence interval 0.26 to 0.98), and time to first relapse (hazard ratio 0.32, 95% confidence interval 0.14 to 0.74) was longer in the EMPOWER arm than in the treatment-as-usual group. At 12 months, EMPOWER participants were less fearful of having a relapse than those in the treatment-as-usual arm (mean difference -4.29, 95% confidence interval -7.29 to -1.28). EMPOWER was more costly and more effective, resulting in an incremental cost-effectiveness ratio of £3041. This incremental cost-effectiveness ratio would be considered cost-effective when using the National Institute for Health and Care Excellence threshold of £20,000 per quality-adjusted life-year gained. LIMITATIONS This was a feasibility study and the outcomes detected cannot be taken as evidence of efficacy or effectiveness. CONCLUSIONS A trial of digital technology to monitor early warning signs that blended with peer support and clinical triage to detect and prevent relapse is feasible. FUTURE WORK A main trial with a sample size of 500 (assuming 90% power and 20% dropout) would detect a clinically meaningful reduction in relapse (relative risk 0.7) and improvement in other variables (effect sizes 0.3-0.4). TRIAL REGISTRATION This trial is registered as ISRCTN99559262. FUNDING This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 27. See the NIHR Journals Library website for further project information. Funding in Australia was provided by the National Health and Medical Research Council (APP1095879).
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Affiliation(s)
- Andrew I Gumley
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Simon Bradstreet
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - John Ainsworth
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Stephanie Allan
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Mario Alvarez-Jimenez
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Maximillian Birchwood
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Andrew Briggs
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Sue Cotton
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
| | - Lidia Engel
- School of Health and Social Development, Deakin University, Melbourne, VIC, Australia
| | - Paul French
- Department of Nursing, Manchester Metropolitan University, Manchester, UK
| | - Reeva Lederman
- School of Computing and Information Systems, Melbourne School of Engineering, University of Melbourne, Melbourne, VIC, Australia
| | - Shôn Lewis
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Matthew Machin
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Graeme MacLennan
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Hamish McLeod
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Nicola McMeekin
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Cathy Mihalopoulos
- School of Health and Social Development, Deakin University, Melbourne, VIC, Australia
| | - Emma Morton
- Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - John Norrie
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | | | | | - Swaran P Singh
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Suresh Sundram
- Department of Psychiatry, Monash University, Melbourne, VIC, Australia
| | - Andrew Thompson
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.,Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Chris Williams
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Alison Yung
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Lorna Aucott
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - John Farhall
- Department of Psychology and Counselling, La Trobe University, Melbourne, VIC, Australia.,NorthWestern Mental Health, Melbourne, VIC, Australia
| | - John Gleeson
- Healthy Brain and Mind Research Centre, Australian Catholic University, Melbourne, VIC, Australia
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14
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Pinto da Costa M, Conneely M, Monteiro da Silva F, Toner S. Stakeholders' views on volunteering in mental health: an international focus group study. BMJ Open 2022; 12:e052185. [PMID: 35301203 PMCID: PMC8932261 DOI: 10.1136/bmjopen-2021-052185] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES Explore the views of two main stakeholders: mental health professionals and volunteers from three European countries, on the provision of volunteering in mental healthcare. DESIGN A multicountry, multilingual and multicultural qualitative focus group study (n=24) with n=119 participants. PARTICIPANTS Volunteers and mental health professionals in three European countries (Belgium, Portugal and the UK). RESULTS Mental health professionals and volunteers consider it beneficial offering volunteering to their patients. In this study, six overarching themes arose: (1) there is a framework in which volunteering is organised, (2) the role of the volunteer is multifaceted, (3) every volunteering relationship has a different character, (4) to volunteer is to face challenges, (5) technology has potential in volunteering and (6) volunteering impacts us all. The variability of their views suggests a need for flexibility and innovation in the design and models of the programmes offered. CONCLUSIONS Volunteering is not one single entity and is strongly connected to the cultural context and the mental healthcare services organisation. Despite the contextual differences between these three European countries, this study found extensive commonalities in attitudes towards volunteering in mental health.
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Affiliation(s)
- Mariana Pinto da Costa
- Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
- Queen Mary University of London, London, UK
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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15
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van den Heuvel MI, Bülow A, Heininga VE, de Moor EL, Janssen LHC, Vanden Abeele M, Boekhorst MGBM. Tracking Infant Development With a Smartphone: A Practical Guide to the Experience Sampling Method. Front Psychol 2021; 12:703743. [PMID: 35035365 PMCID: PMC8752460 DOI: 10.3389/fpsyg.2021.703743] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 11/03/2021] [Indexed: 11/13/2022] Open
Abstract
The COVID-19 pandemic has forced developmental researchers to rethink their traditional research practices. The growing need to study infant development at a distance has shifted our research paradigm to online and digital monitoring of infants and families, using electronic devices, such as smartphones. In this practical guide, we introduce the Experience Sampling Method (ESM) – a research method to collect data, in the moment, on multiple occasions over time – for examining infant development at a distance. ESM is highly suited for assessing dynamic processes of infant development and family dynamics, such as parent-infant interactions and parenting practices. It can also be used to track highly fluctuating family dynamics (e.g., infant and parental mood or behavior) and routines (e.g., activity levels and feeding practices). The aim of the current paper was to provide an overview by explaining what ESM is and for what types of research ESM is best suited. Next, we provide a brief step-by-step guide on how to start and run an ESM study, including preregistration, development of a questionnaire, using wearables and other hardware, planning and design considerations, and examples of possible analysis techniques. Finally, we discuss common pitfalls of ESM research and how to avoid them.
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Affiliation(s)
- Marion I. van den Heuvel
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, Netherlands
- *Correspondence: Marion I. van den Heuvel,
| | - Anne Bülow
- Department of Psychology Education & Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands
- Department of Developmental Psychology, Tilburg University, Tilburg, Netherlands
| | - Vera E. Heininga
- Department of Developmental Psychology, Groningen University, Groningen, Netherlands
- Department of Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium
| | | | - Loes H. C. Janssen
- Department of Clinical Psychology, Leiden University, Leiden, Netherlands
| | - Mariek Vanden Abeele
- imec-mict-UGent, Department of Communication Sciences, Ghent University, Ghent, Belgium
| | - Myrthe G. B. M. Boekhorst
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands
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16
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Gire N, Caton N, McKeown M, Mohmed N, Duxbury J, Kelly J, Riley M, J Taylor P, Taylor CDJ, Naeem F, Chaudhry IB, Husain N. 'Care co-ordinator in my pocket': a feasibility study of mobile assessment and therapy for psychosis (TechCare). BMJ Open 2021; 11:e046755. [PMID: 34785541 PMCID: PMC8596054 DOI: 10.1136/bmjopen-2020-046755] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES The aim of the project was to examine the acceptability and feasibility of a mobile phone application-based intervention 'TechCare', for individuals with psychosis in the North West of England. The main objectives were to determine whether appropriate individuals could be identified and recruited to the study and whether the TechCare App would be an acceptable intervention for individuals with psychosis. METHODS This was a mixed methods feasibility study, consisting of a test-run and feasibility evaluation of the TechCare App intervention. SETTING Early Intervention Services (EIS) for psychosis, within an NHS Trust in the North West of England. PARTICIPANTS Sixteen participants (test-run n=4, feasibility study n=12) aged between 18 and 65 years recruited from the East, Central and North Lancashire EIS. INTERVENTION A 6-week intervention, with the TechCare App assessing participants' symptoms and responses in real-time and providing a personalised-guided self-help-based psychological intervention based on the principles of Cognitive Behaviorual Therapy (CBT). RESULTS A total of 83.33% (n=10) of participants completed the 6-week feasibility study, with 70% of completers achieving the set compliance threshold of ≥33% engagement with the TechCare App system. Analysis of the qualitative data suggested that participants held the view that the TechCare was both an acceptable and feasible means of delivering interventions in real-time. CONCLUSION Innovative digital clinical technologies, such as the TechCare App, have the potential to increase access to psychological interventions, reduce health inequality and promote self-management with a real-time intervention, through enabling access to mental health resources in a stigma-free, evidence-based and time-independent manner. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Identifier: NCT02439619.
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Affiliation(s)
- Nadeem Gire
- Research, Lancashire Care NHS Trust, Preston, UK
- School of Medicine, University of Central Lancashire, Preston, UK
| | - Neil Caton
- Research, Lancashire Care NHS Trust, Preston, UK
| | - Mick McKeown
- School of Nursing, University of Central Lancashire, Preston, UK
| | - Naeem Mohmed
- Research and Development, Lancashire Care NHS Foundation Trust, Blackburn, UK
| | - Joy Duxbury
- Faculty of Health, Psychology & Social Care, Manchester Metropolitan University, Manchester, UK
| | - James Kelly
- Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Miv Riley
- Research, Lancashire Care NHS Trust, Preston, UK
| | - Peter J Taylor
- Psychology and Mental Health, University of Manchester School of Psychological Sciences, Manchester, UK
| | - Christopher D J Taylor
- Secondary Care Psychological Therapies Service, Pennine Care NHS Foundation Trust, Ashton-under-Lyne, UK
| | - Farooq Naeem
- Psychiatry, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Imran Bashir Chaudhry
- Psychiatry, Ziauddin University, Karachi, Pakistan
- Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Nusrat Husain
- Research, Lancashire Care NHS Trust, Preston, UK
- School of Health Sciences, Division of Psychology & Mental Health, The University of Manchester, Manchester, UK
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17
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Akré ER, Anderson A, Stojanovski K, Chung KW, VanKim NA, Chae DH. Depression, Anxiety, and Alcohol Use Among LGBTQ+ People During the COVID-19 Pandemic. Am J Public Health 2021; 111:1610-1619. [PMID: 34410817 PMCID: PMC8589058 DOI: 10.2105/ajph.2021.306394] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2021] [Indexed: 11/04/2022]
Abstract
Objectives. To describe disparities in depression, anxiety, and problem drinking by sexual orientation, sexual behavior, and gender identity during the COVID-19 pandemic. Methods. Data were collected May 21 to July 15, 2020, from 3245 adults living in 5 major US metropolitan areas (Atlanta, Georgia; Chicago, Illinois; New Orleans, Louisiana; New York, New York; and Los Angeles, California). Participants were characterized as cisgender straight or LGBTQ+ (i.e., lesbian, gay, bisexual, and transgender people, and men who have sex with men, and women who have sex with women not identifying as lesbian, gay, bisexual, or transgender). Results. Cisgender straight participants had the lowest levels of depression, anxiety, and problem drinking compared with all other sexual orientation, sexual behavior, and gender identity groups, and, in general, LGBTQ+ participants were more likely to report that these health problems were "more than usual" during the COVID-19 pandemic. Conclusions. LGBTQ+ communities experienced worse mental health and problem drinking than their cisgender straight counterparts during the COVID-19 pandemic. Future research should assess the impact of the pandemic on health inequities. Policymakers should consider resources to support LGBTQ+ mental health and substance use prevention in COVID-19 recovery efforts.
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Affiliation(s)
- Ellesse-Roselee Akré
- At the time of the study, E. R. Akré was a postdoctoral researcher at Vanderbilt University, Nashville, TN, and she completed the work while with Geisel School of Medicine at Dartmouth, the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH. Andrew Anderson is with Tulane University, School of Public Health and Tropical Medicine, Department of Health Policy and Management, New Orleans, LA. Kristefer Stojanovski is with University of Michigan, School of Public Health, Department of Health Behavior and Health Education, Ann Arbor. Kara W. Chung and David H. Chae are with Tulane University, School of Public Health and Tropical Medicine, Department of Global Community Health and Behavioral Sciences. Nicole A. VanKim is with University of Massachusetts: Amherst, School of Public Health and Health Sciences, Department of Epidemiology
| | - Andrew Anderson
- At the time of the study, E. R. Akré was a postdoctoral researcher at Vanderbilt University, Nashville, TN, and she completed the work while with Geisel School of Medicine at Dartmouth, the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH. Andrew Anderson is with Tulane University, School of Public Health and Tropical Medicine, Department of Health Policy and Management, New Orleans, LA. Kristefer Stojanovski is with University of Michigan, School of Public Health, Department of Health Behavior and Health Education, Ann Arbor. Kara W. Chung and David H. Chae are with Tulane University, School of Public Health and Tropical Medicine, Department of Global Community Health and Behavioral Sciences. Nicole A. VanKim is with University of Massachusetts: Amherst, School of Public Health and Health Sciences, Department of Epidemiology
| | - Kristefer Stojanovski
- At the time of the study, E. R. Akré was a postdoctoral researcher at Vanderbilt University, Nashville, TN, and she completed the work while with Geisel School of Medicine at Dartmouth, the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH. Andrew Anderson is with Tulane University, School of Public Health and Tropical Medicine, Department of Health Policy and Management, New Orleans, LA. Kristefer Stojanovski is with University of Michigan, School of Public Health, Department of Health Behavior and Health Education, Ann Arbor. Kara W. Chung and David H. Chae are with Tulane University, School of Public Health and Tropical Medicine, Department of Global Community Health and Behavioral Sciences. Nicole A. VanKim is with University of Massachusetts: Amherst, School of Public Health and Health Sciences, Department of Epidemiology
| | - Kara W Chung
- At the time of the study, E. R. Akré was a postdoctoral researcher at Vanderbilt University, Nashville, TN, and she completed the work while with Geisel School of Medicine at Dartmouth, the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH. Andrew Anderson is with Tulane University, School of Public Health and Tropical Medicine, Department of Health Policy and Management, New Orleans, LA. Kristefer Stojanovski is with University of Michigan, School of Public Health, Department of Health Behavior and Health Education, Ann Arbor. Kara W. Chung and David H. Chae are with Tulane University, School of Public Health and Tropical Medicine, Department of Global Community Health and Behavioral Sciences. Nicole A. VanKim is with University of Massachusetts: Amherst, School of Public Health and Health Sciences, Department of Epidemiology
| | - Nicole A VanKim
- At the time of the study, E. R. Akré was a postdoctoral researcher at Vanderbilt University, Nashville, TN, and she completed the work while with Geisel School of Medicine at Dartmouth, the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH. Andrew Anderson is with Tulane University, School of Public Health and Tropical Medicine, Department of Health Policy and Management, New Orleans, LA. Kristefer Stojanovski is with University of Michigan, School of Public Health, Department of Health Behavior and Health Education, Ann Arbor. Kara W. Chung and David H. Chae are with Tulane University, School of Public Health and Tropical Medicine, Department of Global Community Health and Behavioral Sciences. Nicole A. VanKim is with University of Massachusetts: Amherst, School of Public Health and Health Sciences, Department of Epidemiology
| | - David H Chae
- At the time of the study, E. R. Akré was a postdoctoral researcher at Vanderbilt University, Nashville, TN, and she completed the work while with Geisel School of Medicine at Dartmouth, the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH. Andrew Anderson is with Tulane University, School of Public Health and Tropical Medicine, Department of Health Policy and Management, New Orleans, LA. Kristefer Stojanovski is with University of Michigan, School of Public Health, Department of Health Behavior and Health Education, Ann Arbor. Kara W. Chung and David H. Chae are with Tulane University, School of Public Health and Tropical Medicine, Department of Global Community Health and Behavioral Sciences. Nicole A. VanKim is with University of Massachusetts: Amherst, School of Public Health and Health Sciences, Department of Epidemiology
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18
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Gude J, Subhedar RV, Zhang MH, Jain P, Bhela J, Bangash F, Veluri N, Hsieh YC, Sheikh BZ, Shah MR, Mansuri Z, Aedma K, Patel UK, Parikh T. Emerging Needs and Viability of Telepsychiatry During and Post COVID-19 Era: A Literature Review. Cureus 2021; 13:e16974. [PMID: 34540384 PMCID: PMC8423321 DOI: 10.7759/cureus.16974] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2021] [Indexed: 12/30/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has resulted in nationwide stay-at-home orders in an effort to slow the spread severely impacting the healthcare sector. Telepsychiatry provides a platform bridging the gap through advanced technologies connecting mental health providers and patients who need their services, overcoming previous barriers of great distances, lack of transportation, and even time constraints. The most obvious benefit is increased accessibility to mental healthcare, especially in underserved and remote areas where there is no easy access for in-person care. It is important to note that benefits are not limited to patients, but also allow clinicians greater flexibility in scheduling and reduced practice overhead costs, both of which aid with physician burnout and burden. Telepsychiatry during COVID-19 provides its own unique advantages over in-person visits. The risk of exposure to healthcare workers and patients receiving care is reduced, allowing immunocompromised patients to receive much-needed psychiatric care. Without the need to meet in person, self-isolating psychiatrists can still provide care, decreasing strain on their co-workers. Although telepsychiatry is relatively new, it has already exhibited considerable success in its effectiveness at treating psychiatric conditions and widespread corollary benefits. Telepsychiatric consults may be carried out synchronously and asynchronously, each having benefits and setbacks. Different mobile application interventions have been explored, which are available for the purpose of both monitoring/assessing patients and/or providing treatment. The scope of conditions these applications address is broad, from anxiety disorders to schizophrenia to depression. As promising and beneficial telepsychiatry may seem, it is necessary to recognize that building the program can be challenging. It involves adapting to new methods in medicine. We highlighted barriers to general telepsychiatry, the most prominent being technological literacy of both physician and patient, and possible negative effects of eliminating the in-person patient-doctor interaction.
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Affiliation(s)
- Jayasudha Gude
- Psychiatry, Northwell Health, Zucker Hillside Hospital, New York, USA
| | | | - Michelle H Zhang
- Psychological & Brain Sciences and Biology, Johns Hopkins University, Baltimore, USA
| | - Pratik Jain
- Psychiatry, State University of New York Upstate Medical University, Syracuse, USA
| | - Jatminderpal Bhela
- Psychiatry, Case Western Reserve University/Metrohealth system, Cleveland, USA
| | - Fariha Bangash
- Psychiatry, State University of New York Upstate Medical University, Syracuse, USA
| | - Nikhila Veluri
- Psychiatry, American University of Integrative Science School of Medicine, St. Michael, BRB
| | - Ya-Ching Hsieh
- Public Health, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Batool Z Sheikh
- Psychiatry, Dow University of Health Sciences, Karachi, PAK
- Psychiatry, Brookdale University Hospital Medical Center, New York, USA
| | - Mansi R Shah
- Psychiatry, The Wright Center for Graduate Medical Education, Scranton, USA
| | - Zeeshan Mansuri
- Psychiatry, Boston Children's Hospital/Harvard Medical School, Boston, USA
| | | | - Urvish K Patel
- Public Health and Neurology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Tapan Parikh
- Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, USA
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19
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Lopez-Morinigo JD, Barrigón ML, Porras-Segovia A, Ruiz-Ruano VG, Escribano Martínez AS, Escobedo-Aedo PJ, Sánchez Alonso S, Mata Iturralde L, Muñoz Lorenzo L, Artés-Rodríguez A, David AS, Baca-García E. Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study. J Med Internet Res 2021; 23:e26548. [PMID: 34309576 PMCID: PMC8367186 DOI: 10.2196/26548] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/10/2021] [Accepted: 05/13/2021] [Indexed: 12/25/2022] Open
Abstract
Background Ecological momentary assessment (EMA) tools appear to be useful interventions for collecting real-time data on patients’ behavior and functioning. However, concerns have been voiced regarding the acceptability of EMA among patients with schizophrenia and the factors influencing EMA acceptability. Objective The aim of this study was to investigate the acceptability of a passive smartphone-based EMA app, evidence-based behavior (eB2), among patients with schizophrenia spectrum disorders and the putative variables underlying their acceptance. Methods The participants in this study were from an ongoing randomized controlled trial (RCT) of metacognitive training, consisting of outpatients with schizophrenia spectrum disorders (F20-29 of 10th revision of the International Statistical Classification of Diseases and Related Health Problems), aged 18-64 years, none of whom received any financial compensation. Those who consented to installation of the eB2 app (users) were compared with those who did not (nonusers) in sociodemographic, clinical, premorbid adjustment, neurocognitive, psychopathological, insight, and metacognitive variables. A multivariable binary logistic regression tested the influence of the above (independent) variables on “being user versus nonuser” (acceptability), which was the main outcome measure. Results Out of the 77 RCT participants, 24 (31%) consented to installing eB2, which remained installed till the end of the study (median follow-up 14.50 weeks) in 14 participants (70%). Users were younger and had a higher education level, better premorbid adjustment, better executive function (according to the Trail Making Test), and higher cognitive insight levels (measured with the Beck Cognitive Insight Scale) than nonusers (univariate analyses) although only age (OR 0.93, 95% CI 0.86-0.99; P=.048) and early adolescence premorbid adjustment (OR 0.75, 95% CI 0.61-0.93; P=.01) survived the multivariable regression model, thus predicting eB2 acceptability. Conclusions Acceptability of a passive smartphone-based EMA app among participants with schizophrenia spectrum disorders in this RCT where no participant received financial compensation was, as expected, relatively low, and linked with being young and good premorbid adjustment. Further research should examine how to increase EMA acceptability in patients with schizophrenia spectrum disorders, in particular, older participants and those with poor premorbid adjustment. Trial Registration ClinicalTrials.gov NCT04104347; https://clinicaltrials.gov/ct2/show/NCT04104347
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Affiliation(s)
- Javier-David Lopez-Morinigo
- Departamento de Psiquiatria, IIS-Fundación Jiménez Díaz, Madrid, Spain.,Departamento de Psiquiatria, Universidad Autónoma de Madrid, Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - María Luisa Barrigón
- Departamento de Psiquiatria, IIS-Fundación Jiménez Díaz, Madrid, Spain.,Departamento de Psiquiatria, Universidad Autónoma de Madrid, Madrid, Spain
| | - Alejandro Porras-Segovia
- Departamento de Psiquiatria, IIS-Fundación Jiménez Díaz, Madrid, Spain.,Departamento de Psiquiatria, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, Spain
| | - Verónica González Ruiz-Ruano
- Departamento de Psiquiatria, IIS-Fundación Jiménez Díaz, Madrid, Spain.,Departamento de Psiquiatria, Universidad Autónoma de Madrid, Madrid, Spain
| | - Adela Sánchez Escribano Martínez
- Departamento de Psiquiatria, IIS-Fundación Jiménez Díaz, Madrid, Spain.,Departamento de Psiquiatria, Universidad Autónoma de Madrid, Madrid, Spain
| | | | | | | | | | - Antonio Artés-Rodríguez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Departamento de Teoría de Señal y de la Comunicación, Universidad Carlos III, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,Evidence-Based Behavior, Leganés, Madrid, Spain
| | - Anthony S David
- Institute of Mental Health, University College London, London, United Kingdom
| | - Enrique Baca-García
- Departamento de Psiquiatria, IIS-Fundación Jiménez Díaz, Madrid, Spain.,Departamento de Psiquiatria, Universidad Autónoma de Madrid, Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Departamento de Psiquiatria, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, Spain.,Universidad Católica del Maule, Talca, Chile.,Departamento de Psiquiatría, Hospital Universitario Central de Villalba, Madrid, Spain.,Departamento de Psiquiatría, Hospital Universitario Infanta Elena, Valdemoro, Madrid, Spain.,Université de Nîmes, Nimes, France
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20
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Engagement with online psychosocial interventions for psychosis: A review and synthesis of relevant factors. Internet Interv 2021; 25:100411. [PMID: 34401370 PMCID: PMC8350605 DOI: 10.1016/j.invent.2021.100411] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 05/27/2021] [Accepted: 06/02/2021] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Little is known about factors associated with engagement with online interventions for psychosis. This review aimed to synthesise existing data from relevant literature to develop a working model of potential variables that may impact on engagement with online interventions for psychosis. METHODS Online databases were searched for studies relevant to predictors of engagement with online interventions for psychosis; predictors of Internet use amongst individuals with psychosis; and predictors of engagement with traditional psychosocial treatments for psychosis. Data were synthesised into a conceptual model highlighting factors relevant to engagement with online interventions for psychosis. RESULTS Sixty-one studies were identified. Factors relevant to engagement related directly to the impact of psychosis, response to psychosis, integration of technology into daily lives and intervention aspects. CONCLUSION While several candidate predictors were identified, there is minimal research specifically investigated predictors of engagement with online interventions for psychosis. Further investigation examining both individual- and intervention-related factors is required to inform effective design and dissemination of online interventions for psychosis.
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21
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Eisele G, Vachon H, Myin-Germeys I, Viechtbauer W. Reported Affect Changes as a Function of Response Delay: Findings From a Pooled Dataset of Nine Experience Sampling Studies. Front Psychol 2021; 12:580684. [PMID: 33716852 PMCID: PMC7952513 DOI: 10.3389/fpsyg.2021.580684] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 01/21/2021] [Indexed: 11/23/2022] Open
Abstract
Delayed responses are a common phenomenon in experience sampling studies. Yet no consensus exists on whether they should be excluded from the analysis or what the threshold for exclusion should be. Delayed responses could introduce bias, but previous investigations of systematic differences between delayed and timely responses have offered unclear results. To investigate differences as a function of delay, we conducted secondary analyses of nine paper and pencil based experience sampling studies including 1,528 individuals with different clinical statuses. In all participants, there were significant decreases in positive and increases in negative affect as a function of delay. In addition, delayed answers of participants without depression showed higher within-person variability and an initial strengthening in the relationships between contextual stress and affect. Participants with depression mostly showed the opposite pattern. Delayed responses seem qualitatively different from timely responses. Further research is needed to understand the mechanisms underlying these differences.
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Affiliation(s)
- Gudrun Eisele
- Department of Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Hugo Vachon
- Department of Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Inez Myin-Germeys
- Department of Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Wolfgang Viechtbauer
- Department of Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
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22
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Williams MT, Lewthwaite H, Fraysse F, Gajewska A, Ignatavicius J, Ferrar K. Compliance With Mobile Ecological Momentary Assessment of Self-Reported Health-Related Behaviors and Psychological Constructs in Adults: Systematic Review and Meta-analysis. J Med Internet Res 2021; 23:e17023. [PMID: 33656451 PMCID: PMC7970161 DOI: 10.2196/17023] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 03/01/2020] [Accepted: 10/31/2020] [Indexed: 01/08/2023] Open
Abstract
Background Mobile ecological momentary assessment (mEMA) permits real-time capture of self-reported participant behaviors and perceptual experiences. Reporting of mEMA protocols and compliance has been identified as problematic within systematic reviews of children, youth, and specific clinical populations of adults. Objective This study aimed to describe the use of mEMA for self-reported behaviors and psychological constructs, mEMA protocol and compliance reporting, and associations between key components of mEMA protocols and compliance in studies of nonclinical and clinical samples of adults. Methods In total, 9 electronic databases were searched (2006-2016) for observational studies reporting compliance to mEMA for health-related data from adults (>18 years) in nonclinical and clinical settings. Screening and data extraction were undertaken by independent reviewers, with discrepancies resolved by consensus. Narrative synthesis described participants, mEMA target, protocol, and compliance. Random effects meta-analysis explored factors associated with cohort compliance (monitoring duration, daily prompt frequency or schedule, device type, training, incentives, and burden score). Random effects analysis of variance (P≤.05) assessed differences between nonclinical and clinical data sets. Results Of the 168 eligible studies, 97/105 (57.7%) reported compliance in unique data sets (nonclinical=64/105 [61%], clinical=41/105 [39%]). The most common self-reported mEMA target was affect (primary target: 31/105, 29.5% data sets; secondary target: 50/105, 47.6% data sets). The median duration of the mEMA protocol was 7 days (nonclinical=7, clinical=12). Most protocols used a single time-based (random or interval) prompt type (69/105, 65.7%); median prompt frequency was 5 per day. The median number of items per prompt was similar for nonclinical (8) and clinical data sets (10). More than half of the data sets reported mEMA training (84/105, 80%) and provision of participant incentives (66/105, 62.9%). Less than half of the data sets reported number of prompts delivered (22/105, 21%), answered (43/105, 41%), criterion for valid mEMA data (37/105, 35.2%), or response latency (38/105, 36.2%). Meta-analysis (nonclinical=41, clinical=27) estimated an overall compliance of 81.9% (95% CI 79.1-84.4), with no significant difference between nonclinical and clinical data sets or estimates before or after data exclusions. Compliance was associated with prompts per day and items per prompt for nonclinical data sets. Although widespread heterogeneity existed across analysis (I2>90%), no compelling relationship was identified between key features of mEMA protocols representing burden and mEMA compliance. Conclusions In this 10-year sample of studies using the mEMA of self-reported health-related behaviors and psychological constructs in adult nonclinical and clinical populations, mEMA was applied across contexts and health conditions and to collect a range of health-related data. There was inconsistent reporting of compliance and key features within protocols, which limited the ability to confidently identify components of mEMA schedules likely to have a specific impact on compliance.
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Affiliation(s)
- Marie T Williams
- Innovation, Implementation And Clinical Translation in Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Hayley Lewthwaite
- Innovation, Implementation And Clinical Translation in Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.,Department of Kinesiology and Physical Education, Faculty of Education, McGill University, Montreal, QC, Canada
| | - François Fraysse
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Alexandra Gajewska
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Jordan Ignatavicius
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Katia Ferrar
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
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23
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Mohseni Moallem Kolaei N, Ayatollahi H, Elyasi F. Delirium in Burn Patients: Developing a Mobile Application for Assessment and Diagnosis. J Burn Care Res 2021; 42:87-92. [PMID: 32761052 DOI: 10.1093/jbcr/iraa122] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Delirium is a neuropsychiatric syndrome which is highly prevalent among hospitalized burn patients. Among screening tools, the Intensive Care Delirium Screening Checklist (ICDSC) is a reliable tool. This study aimed to develop a mobile-based application for assessing and diagnosing delirium in burn patients by using ICDSC. This research consisted of three phases. Initially, a questionnaire was designed and users' requirements were identified. The participants were 10 psychiatrists and 51 nurses. Then, a mobile application was designed based on the results derived from the first phase of the study and the usability of the application was evaluated by using a standard questionnaire. Finally, the rate of agreement between the nurses' and physiatrists' diagnoses made by using or not using the application was calculated. The application included educational content about delirium for nurses, patient data, and some functions. The results of the usability evaluation showed that the application was at a "good" level from the users' perspectives and the rate of agreement between the nurses' and physiatrists' diagnoses made by using the application was higher than not using it. The application designed in the current study can help us to improve the knowledge of nurses, in particular younger nurses regarding delirium. Moreover, making diagnosis based on the results of a delirium assessment tool is more accurate than relying on nursing experience. Finally, timely diagnosis of delirium can help us to improve patient management and quality of care, reduce the duration of hospitalization, and decrease the mortality rate and costs.
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Affiliation(s)
- Najibeh Mohseni Moallem Kolaei
- Psychiatry and Behavioural Sciences Research Centre, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Haleh Ayatollahi
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.,Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Forouzan Elyasi
- Addiction Institute, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
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24
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Chan EC, Sun Y, Aitchison KJ, Sivapalan S. Mobile App-Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review. JMIR Form Res 2021; 5:e13770. [PMID: 33416510 PMCID: PMC7822726 DOI: 10.2196/13770] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 01/13/2020] [Accepted: 10/02/2020] [Indexed: 01/21/2023] Open
Abstract
Background Bipolar disorder is a chronic, progressive illness characterized by recurrent episodes of mania and depression. Self-report scales have historically played a significant role in the monitoring of bipolar symptoms. However, these tools rely on episodic memory, which can be unreliable and do not allow the clinician to monitor brief episodic symptoms or the course of symptoms over shorter periods of time. Mobile app–based questionnaires have been suggested as a tool to improve monitoring of patients with bipolar disorder. Objective This paper aims to determine the feasibility and validity of mobile app–based self-report questionnaires. Methods We performed a systematic review of the literature according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The PubMed, PsycInfo, Web of Science, Ovid MEDLINE, and EMBASE databases were searched for papers published in English that assessed adherence to and the validity of mobile app–based self-report questionnaires. Relevant studies published from database creation to May 22, 2020, were identified, and results examining the validity of and rates of adherence to app-based self-report questionnaires are reported. Results A total of 13 records were identified for inclusion in this review. Of these studies, 4 assessed the concurrent validity of mobile app–based self-report tools, with the majority of findings indicating significant associations between data collected using these tools and the Young Mania Rating Scale, Hamilton Depression Rating Scale-17, or Montgomery-Åsberg Depression Rating Scale (P<.001 to P=.24). Three studies comparing the variability or range of symptoms between patients with bipolar disorder and healthy controls suggested that these data are capable of differentiating between known groups. Two studies demonstrated statistically significant associations between data collected via mobile app–based self-report tools and instruments assessing other clinically important factors. Adherence rates varied across the studies examined. However, good adherence rates (>70%) were observed in all but 1 study using a once-daily assessment. There was a wide range of adherence rates observed in studies using twice-daily assessments (42%-95%). Conclusions These findings suggest that mobile app–based self-report tools are valid in the assessment of symptoms of mania and depression in euthymic patients with bipolar disorder. Data collected using these tools appear to differ between patients with bipolar disorder and healthy controls and are significantly associated with other clinically important measures. It is unclear at this time whether these tools can be used to detect acute episodes of mania or depression in patients with bipolar disorder. Adherence data indicate that patients with bipolar disorder show good adherence to self-report assessments administered daily for the duration of the study periods evaluated.
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Affiliation(s)
- Eric C Chan
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Yuting Sun
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
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25
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Barnett I, Onnela JP. Inferring mobility measures from GPS traces with missing data. Biostatistics 2020; 21:e98-e112. [PMID: 30371736 DOI: 10.1093/biostatistics/kxy059] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 09/18/2018] [Accepted: 09/22/2018] [Indexed: 02/07/2023] Open
Abstract
With increasing availability of smartphones with Global Positioning System (GPS) capabilities, large-scale studies relating individual-level mobility patterns to a wide variety of patient-centered outcomes, from mood disorders to surgical recovery, are becoming a reality. Similar past studies have been small in scale and have provided wearable GPS devices to subjects. These devices typically collect mobility traces continuously without significant gaps in the data, and consequently the problem of data missingness has been safely ignored. Leveraging subjects' own smartphones makes it possible to scale up and extend the duration of these types of studies, but at the same time introduces a substantial challenge: to preserve a smartphone's battery, GPS can be active only for a small portion of the time, frequently less than $10\%$, leading to a tremendous missing data problem. We introduce a principled statistical approach, based on weighted resampling of the observed data, to impute the missing mobility traces, which we then summarize using different mobility measures. We compare the strengths of our approach to linear interpolation (LI), a popular approach for dealing with missing data, both analytically and through simulation of missingness for empirical data. We conclude that our imputation approach better mirrors human mobility both theoretically and over a sample of GPS mobility traces from 182 individuals in the Geolife data set, where, relative to LI, imputation resulted in a 10-fold reduction in the error averaged across all mobility features.
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Affiliation(s)
- Ian Barnett
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA
| | - Jukka-Pekka Onnela
- Department of Biostatistics, Harvard University, 677 Huntington Avenue, Boston, MA, USA
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Lewis S, Ainsworth J, Sanders C, Stockton-Powdrell C, Machin M, Whelan P, Hopkins R, He Z, Applegate E, Drake R, Bamford C, Roberts C, Wykes T. Smartphone-Enhanced Symptom Management In Psychosis: Open, Randomized Controlled Trial. J Med Internet Res 2020; 22:e17019. [PMID: 32788150 PMCID: PMC7453320 DOI: 10.2196/17019] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 02/04/2020] [Accepted: 02/16/2020] [Indexed: 11/19/2022] Open
Abstract
Background Improving recovery from acute symptoms and preventing relapse are two significant challenges in severe mental illness. We developed a personalized smartphone-based app to monitor symptoms in real time and validated its acceptance, reliability, and validity. Objective To assess (i) acceptability of continuous monitoring to SMI patients and health professionals over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; and (iii) the feasibility of detecting early warning signs of relapse. Methods The active symptom monitoring smartphone app was built into an end-to-end system in two NHS Trusts to enable real-time symptom self-monitoring and detection by the clinical team of early signs of relapse in people with severe mental illness. We conducted an open randomized controlled trial of active symptom monitoring compared to usual management to assess: (i) acceptability and safety of continuous monitoring over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; (iii) feasibility of detecting early warning signs of relapse communicated to the healthcare staff via an app streaming data to the electronic health record. Eligible participants with a Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) diagnosis of schizophrenia and related disorders, and a history of relapse within the previous two years were enrolled from an early intervention team and a community mental health team. Results Of 181 eligible patients, 81 (45%) consented and were randomized to either active symptom monitoring or management as usual. At 12 weeks, 90% (33/36) of those in the active monitoring group continued to use the system and exhibited an adherence rate (defined as responding to >33% of alerts) of 84% (30/36}. Active symptom monitoring was associated with no difference on the empowerment scale in comparison to the usual management group at 12 weeks. The pre-planned intent-to-treat analysis of the primary outcome, a positive score on the Positive and Negative Syndrome Scale (PANSS) scale, showed a significant reduction in the active symptom monitoring group over 12 weeks in the early intervention center. Alerts for personalized early warning signs of relapse were built into the workflows of both NHS Trusts, and 100% of health professional staff used the system in a new digital workflow. Qualitative analyses supported the acceptability of the system to participants and staff. Conclusions The active smartphone monitoring system is feasible and was accepted by users in a 3-month study of people with severe mental illness, with surprisingly high levels of adherence. App use was associated with psychotic symptom improvement in recent-onset participants, but not those with longstanding illness, supporting the notion of improved self-management. When built into clinical management workflows to enable personalized alerts of symptom deterioration, the app has demonstrated utility in promoting earlier intervention for relapse. Trial Registration ISRCTN Registry ISRCTN88145142; http://www.isrctn.com/ISRCTN88145142
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Affiliation(s)
- Shon Lewis
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - John Ainsworth
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Caroline Sanders
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Charlotte Stockton-Powdrell
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Matthew Machin
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Pauline Whelan
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Richard Hopkins
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Zhimin He
- Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, United Kingdom
| | - Eve Applegate
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Richard Drake
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Charlie Bamford
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Chris Roberts
- Manchester Academic Health Sciences Centre, Greater Manchester Mental Health Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Til Wykes
- Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, United Kingdom.,South London and Maudsley NHS Foundation Trust, London, United Kingdom
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Martin-Sanchez F, Bellazzi R, Casella V, Dixon W, Lopez-Campos G, Peek N. Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine. Yearb Med Inform 2020; 29:115-120. [PMID: 32303099 PMCID: PMC7442499 DOI: 10.1055/s-0040-1701975] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
OBJECTIVE Most diseases result from the complex interplay between genetic and environmental factors. The exposome can be defined as a systematic approach to acquire large data sets corresponding to environmental exposures of an individual along her/ his life. The objective of this contribution is to raise awareness within the health informatics community about the importance of dealing with data related to the contribution of environmental factors to individual health, particularly in the context of precision medicine informatics. METHODS This article summarizes the main findings after a panel organized by the International Medical Informatics Association - Exposome Informatics Working Group held during the last MEDINFO, in Lyon (France) in August 2019. RESULTS The members of our community presented four initiatives (PULSE, Digital exposome, Cloudy with a chance of pain, Wearable clinics), providing a detailed view of current challenges and accomplishments in processing environmental and social data from a health research perspective. Projects illustrate a wide range of research methods, digital data collection technologies, and analytics and visualization tools. This reinforces the idea that this area is now ready for health informaticians to step in and contribute their expertise, leading the application of informatics strategies to understand environmental health problems. CONCLUSIONS The featured projects illustrate applications that use exposome data for the investigation of the causes of diseases, health care, patient empowerment, and public health. They offer a rich overview of the expanding range of applications that informatics is finding in the field of environmental health, with potential impact in precision medicine.
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Dietrich JJ, Hornschuh S, Khunwane M, Makhale LM, Otwombe K, Morgan C, Huang Y, Lemos M, Lazarus E, Kublin JG, Gray GE, Laher F, Andrasik M. A mixed methods investigation of implementation barriers and facilitators to a daily mobile phone sexual risk assessment for young women in Soweto, South Africa. PLoS One 2020; 15:e0231086. [PMID: 32324753 PMCID: PMC7179867 DOI: 10.1371/journal.pone.0231086] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 03/17/2020] [Indexed: 11/24/2022] Open
Abstract
Background The HIV epidemiology in South Africa reveals stark age and gender disparities, with young women being the most vulnerable to HIV acquisition in 2017. Evaluation of HIV exposure is a challenge in HIV prevention research. Intermittent in-clinic interviewer-administered risk behaviour assessments are utilised but may be limited by social desirability and recall biases. We piloted a mobile phone application for daily self-report of sexual risk behaviour in fifty 18–25 year old women at risk of HIV infection enrolled in HIV Vaccine Trials Network 915 (HVTN 915) in Soweto, South Africa. Through a mixed-methods investigation, we explored barriers and facilitators to completing daily mobile phone surveys among HVTN 915 study participants and staff. Methods We analysed quantitative data on barriers and facilitators to mobile phone study completion collected during the larger HVTN 915 study as well as two post-study focus group discussions (FGDs) with fifteen former participants with a median age of 24 years (IQR 23–25) and six individual in-depth interviews (IDIs) with HVTN 915 staff. FGDs and IDIs utilised semi-structured interview guides, were audio-recorded, transcribed verbatim and translated to English. After coding, thematic analysis was performed. Results The main facilitator for daily mobile phone survey completion assessed across 336 follow-up visits for 49 participants was the daily short message system (SMS) reminders (93%, 312/336). Across 336 visits, 31/49 (63%) retained participants reported barriers to completion of daily mobile phone surveys: forgetting (20%, 12/49), being too busy (19%, 11/49) and the survey being an inconvenience (15%, 9/49). Five main themes were identified during the coding of IDIs and FGDs: (1) facilitators of mobile phone survey completion, such as daily SMS reminders and follow up calls for non-completers; (2) barriers to mobile phone survey completion, including partner, time-related and technical barriers; (3) power of incentives; (4) response bias in providing sensitive information, and (5) recommendations for future mobile phone based interventions. Conclusion Despite our enthusiasm to use innovation to optimise sexual risk assessments, technical and practical solutions are required to improve implementation. We recommend further engagement with participants to optimise this approach and to further understand social desirability bias and study incentives in sexual risk reporting.
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Affiliation(s)
- Janan J. Dietrich
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Health Systems Research Unit, South African Medical Research Council, Cape Town, Western Cape, South Africa
- * E-mail:
| | - Stefanie Hornschuh
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Mamakiri Khunwane
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Lerato M. Makhale
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Kennedy Otwombe
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Cecilia Morgan
- Vaccine and Infectious Disease Division (VIDD), Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Yunda Huang
- Vaccine and Infectious Disease Division (VIDD), Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Maria Lemos
- Vaccine and Infectious Disease Division (VIDD), Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Erica Lazarus
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - James G. Kublin
- Vaccine and Infectious Disease Division (VIDD), Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Glenda E. Gray
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Office of the President, South African Medical Research Council, Cape Town, Western Cape, South Africa
| | - Fatima Laher
- Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Michele Andrasik
- Vaccine and Infectious Disease Division (VIDD), Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
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D'Arcey J, Collaton J, Kozloff N, Voineskos AN, Kidd SA, Foussias G. The Use of Text Messaging to Improve Clinical Engagement for Individuals With Psychosis: Systematic Review. JMIR Ment Health 2020; 7:e16993. [PMID: 32238334 PMCID: PMC7163420 DOI: 10.2196/16993] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 01/03/2020] [Accepted: 01/14/2020] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Individuals experiencing psychosis are at a disproportionate risk for premature disengagement from clinical treatment. Barriers to clinical engagement typically result from funding constraints causing limited access to and flexibility in services. Digital strategies, such as SMS text messaging, offer a low-cost alternative to potentially improve engagement. However, little is known about the efficacy of SMS text messaging in psychosis. OBJECTIVE This review aimed to address this gap, providing insights into the relationship between SMS text messaging and clinical engagement in the treatment of psychosis. METHODS Studies examining SMS text messaging as an engagement strategy in the treatment of psychosis were reviewed. Included studies were published from the year 2000 onward in the English language, with no methodological restrictions, and were identified using 3 core databases and gray literature sources. RESULTS Of the 233 studies extracted, 15 were eligible for inclusion. Most studies demonstrated the positive effects of SMS text messaging on dimensions of engagement such as medication adherence, clinic attendance, and therapeutic alliance. Studies examining the feasibility of SMS text messaging interventions found that they are safe, easy to use, and positively received. CONCLUSIONS Overall, SMS text messaging is a low-cost, practical method of improving engagement in the treatment of psychosis, although efficacy may vary by symptomology and personal characteristics. Cost-effectiveness and safety considerations were not adequately examined in the studies included. Future studies should consider personalizing SMS text messaging interventions and include cost and safety analyses to appraise readiness for implementation.
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Affiliation(s)
- Jessica D'Arcey
- Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medial Science, University of Toronto, Toronto, ON, Canada
| | - Joanna Collaton
- Department of Clinical Psychology, University of Guelph, Guelph, ON, Canada
| | - Nicole Kozloff
- Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute for Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Aristotle N Voineskos
- Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medial Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sean A Kidd
- Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medial Science, University of Toronto, Toronto, ON, Canada
| | - George Foussias
- Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medial Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
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30
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Wong KTG, Liu D, Balzan R, King D, Galletly C. Smartphone and Internet Access and Utilization by People With Schizophrenia in South Australia: Quantitative Survey Study. JMIR Ment Health 2020; 7:e11551. [PMID: 32012068 PMCID: PMC7013647 DOI: 10.2196/11551] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 11/29/2018] [Accepted: 12/15/2018] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Web-based information and interventions for mental illness are increasingly being provided. There is an expectation that citizens have access to the internet and are competent in using technology. People with schizophrenia are often excluded from social engagement, have cognitive impairment, and have very limited income, all of which may reduce their use of technology. OBJECTIVE This study aimed to investigate technology access, use of digital technology, and confidence in using technology among people with schizophrenia living in the community. METHODS Face-to-face structured interviews with 50 people with schizophrenia (aged 18-65 years) living in the northern suburbs of Adelaide, South Australia, were conducted using an instrument designed to assess technology access and utilization. RESULTS Most participants (42/50, 84%) owned a mobile phone, but only 58% (29/50) owned a smartphone. Two-thirds of participants (33/50, 66%) had access to the internet at home, using a smartphone or computer. Moreover, 40% (20/50) of participants used the internet at least daily, but 30% (15/50) of participants had never accessed the internet from any device. Approximately half of the participants (24/50, 48%) had never used Facebook. Participants rarely used community facilities (eg, libraries and cafes) to access the internet. There were no significant differences (P values ranged from .14 to .70) between younger participants (aged 18-34 years) and older participants (aged 35-64 years) in internet or smartphone access or confidence in using technology. CONCLUSIONS Although the sample size of this study is small, it shows limited technology access, use of digital technology, and confidence in using technology among the participants. This could be a barrier to the online delivery of information and interventions for people with schizophrenia. To better understand the impacts of such technological disadvantage and potential disparities in access and use of online resources, prospective studies should recruit a larger sample size and include control subjects matched for socioeconomic disadvantage.
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Affiliation(s)
| | - Dennis Liu
- The University of Adelaide, Discipline of Psychiatry, Adelaide Medical School, Adelaide, Australia
- Northern Adelaide Local Health Network, Adelaide, Australia
| | - Ryan Balzan
- The University of Adelaide, School of Psychology, Adelaide, Australia
- Flinders University, College of Education, Psychology and Social Work, Adelaide, Australia
| | - Daniel King
- Flinders University, College of Education, Psychology and Social Work, Adelaide, Australia
| | - Cherrie Galletly
- The University of Adelaide, Discipline of Psychiatry, Adelaide Medical School, Adelaide, Australia
- Northern Adelaide Local Health Network, Adelaide, Australia
- Ramsay Health Care (SA) Mental Health Services, Adelaide, Australia
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Gumley A, Bradstreet S, Ainsworth J, Allan S, Alvarez-Jimenez M, Beattie L, Bell I, Birchwood M, Briggs A, Bucci S, Castagnini E, Clark A, Cotton SM, Engel L, French P, Lederman R, Lewis S, Machin M, MacLennan G, Matrunola C, McLeod H, McMeekin N, Mihalopoulos C, Morton E, Norrie J, Reilly F, Schwannauer M, Singh SP, Smith L, Sundram S, Thomson D, Thompson A, Whitehill H, Wilson-Kay A, Williams C, Yung A, Farhall J, Gleeson J. Early Signs Monitoring to Prevent Relapse in Psychosis and Promote Well-Being, Engagement, and Recovery: Protocol for a Feasibility Cluster Randomized Controlled Trial Harnessing Mobile Phone Technology Blended With Peer Support. JMIR Res Protoc 2020; 9:e15058. [PMID: 31917372 PMCID: PMC6996736 DOI: 10.2196/15058] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 08/27/2019] [Indexed: 12/13/2022] Open
Abstract
Background Relapse in schizophrenia is a major cause of distress and disability and is predicted by changes in symptoms such as anxiety, depression, and suspiciousness (early warning signs [EWSs]). These can be used as the basis for timely interventions to prevent relapse. However, there is considerable uncertainty regarding the implementation of EWS interventions. Objective This study was designed to establish the feasibility of conducting a definitive cluster randomized controlled trial comparing Early signs Monitoring to Prevent relapse in psychosis and prOmote Well-being, Engagement, and Recovery (EMPOWER) against treatment as usual (TAU). Our primary outcomes are establishing parameters of feasibility, acceptability, usability, safety, and outcome signals of a digital health intervention as an adjunct to usual care that is deliverable in the UK National Health Service and Australian community mental health service (CMHS) settings. We will assess the feasibility of candidate primary outcomes, candidate secondary outcomes, and candidate mechanisms for a definitive trial. Methods We will randomize CMHSs to EMPOWER or TAU. We aim to recruit up to 120 service user participants from 8 CMHSs and follow them for 12 months. Eligible service users will (1) be aged 16 years and above, (2) be in contact with local CMHSs, (3) have either been admitted to a psychiatric inpatient service or received crisis intervention at least once in the previous 2 years for a relapse, and (4) have an International Classification of Diseases-10 diagnosis of a schizophrenia-related disorder. Service users will also be invited to nominate a carer to participate. We will identify the feasibility of the main trial in terms of recruitment and retention to the study and the acceptability, usability, safety, and outcome signals of the EMPOWER intervention. EMPOWER is a mobile phone app that enables the monitoring of well-being and possible EWSs of relapse on a daily basis. An algorithm calculates changes in well-being based on participants’ own baseline to enable tailoring of well-being messaging and clinical triage of possible EWSs. Use of the app is blended with ongoing peer support. Results Recruitment to the trial began September 2018, and follow-up of participants was completed in July 2019. Data collection is continuing. The database was locked in July 2019, followed by analysis and disclosing of group allocation. Conclusions The knowledge gained from the study will inform the design of a definitive trial including finalizing the delivery of our digital health intervention, sample size estimation, methods to ensure successful identification, consent, randomization, and follow-up of participants, and the primary and secondary outcomes. The trial will also inform the final health economic model to be applied in the main trial. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN): 99559262; http://isrctn.com/ISRCTN99559262 International Registered Report Identifier (IRRID) DERR1-10.2196/15058
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Affiliation(s)
- Andrew Gumley
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Simon Bradstreet
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom
| | - John Ainsworth
- Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Stephanie Allan
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom
| | - Mario Alvarez-Jimenez
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Louise Beattie
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom
| | - Imogen Bell
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia
| | - Max Birchwood
- Division of Mental Health and Wellbeing, University of Warwick, Warwick, United Kingdom
| | - Andrew Briggs
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom.,Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Emily Castagnini
- La Trobe University, Melbourne, Australia.,NorthWestern Mental Health, Melbourne, Australia
| | - Andrea Clark
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom.,NHS Research Scotland Mental Health Network, Glasgow, United Kingdom
| | - Sue M Cotton
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia
| | | | - Paul French
- Manchester Metropolitan University, Manchester, United Kingdom
| | - Reeva Lederman
- School of Computing and Information Systems, Melbourne School of Engineering, University of Melbourne, Melbourne, Australia
| | - Shon Lewis
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom.,Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Matthew Machin
- Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Graeme MacLennan
- The Centre for Healthcare Randomised Trials, University of Aberdeen, Aberdeen, United Kingdom
| | - Claire Matrunola
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom.,NHS Research Scotland Mental Health Network, Glasgow, United Kingdom
| | - Hamish McLeod
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Nicola McMeekin
- Glasgow Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | | | - Emma Morton
- Australian Catholic University, Melbourne, Australia
| | - John Norrie
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Frank Reilly
- Scottish Recovery Network, Glasgow, United Kingdom
| | - Matthias Schwannauer
- School of Health and Social Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Swaran P Singh
- Division of Mental Health and Wellbeing, University of Warwick, Warwick, United Kingdom
| | - Lesley Smith
- Scottish Recovery Network, Glasgow, United Kingdom
| | | | - David Thomson
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Andrew Thompson
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.,Division of Mental Health and Wellbeing, University of Warwick, Warwick, United Kingdom
| | - Helen Whitehill
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom.,Scottish Recovery Network, Glasgow, United Kingdom
| | - Alison Wilson-Kay
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Christopher Williams
- Glasgow Institute of Health and Wellbeing, Glasgow Mental Health Research Facility, University of Glasgow, Glasgow, United Kingdom
| | - Alison Yung
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - John Farhall
- La Trobe University, Melbourne, Australia.,NorthWestern Mental Health, Melbourne, Australia
| | - John Gleeson
- Australian Catholic University, Melbourne, Australia
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Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. Int J Med Inform 2019; 132:103984. [PMID: 31605884 DOI: 10.1016/j.ijmedinf.2019.103984] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 09/13/2019] [Accepted: 09/27/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Mobile health (mHealth) technology has the potential to play a key role in improving the health of patients with chronic non-communicable diseases. OBJECTIVES We present a review of systematic reviews of mHealth in chronic disease management, by showing the features and outcomes of mHealth interventions, along with associated challenges in this rapidly growing field. METHODS We searched the bibliographic databases of PubMed, Scopus, and Cochrane to identify systematic reviews of mHealth interventions with advanced technical capabilities (e.g., Internet-linked apps, interoperation with sensors, communication with clinical platforms, etc.) utilized in randomized clinical trials. The original studies included the reviews were synthesized according to their intervention features, the targeted diseases, the primary outcome, the number of participants and their average age, as well as the total follow-up duration. RESULTS We identified 5 reviews respecting our inclusion and exclusion criteria, which examined 30 mHealth interventions. The highest percentage of the interventions targeted patients with diabetes (n = 19, 63%), followed by patients with psychotic disorders (n = 7, 23%), lung diseases (n = 3, 10%), and cardiovascular disease (n = 1, 3%). 14 studies showed effective results: 9 in diabetes management, 2 in lung function, and 3 in mental health. Significantly positive outcomes were reported in 8 interventions (n = 8, 47%) from 17 studies assessing glucose concentration, one intervention assessing physical activity, 2 interventions (n = 2, 67%) from 3 studies assessing lung function parameters, and 3 mental health interventions assessing N-back performance, medication adherence, and number of hospitalizations. Divergent features were adopted in 14 interventions with significantly positive outcomes, such as personalized goal setting (n = 10, 71%), motivational feedback (n = 5, 36%), and alerts for health professionals (n = 3, 21%). The most significant found challenges in the development and evaluation of mHealth interventions include the design of studies with high quality, the construction of robust interventions in combination with health professional inputs, and the identification of tools and methods to improve patient adherence. CONCLUSIONS This review found mixed evidence regarding the health benefits of mHealth interventions for patients living with chronic diseases. Further rigorous studies are needed to assess the outcomes of personalized mHealth interventions toward the optimal management of chronic diseases.
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Developing Texting for Relapse Prevention: A Scalable mHealth Program for People With Schizophrenia and Schizoaffective Disorder. J Nerv Ment Dis 2019; 207:854-862. [PMID: 31503175 PMCID: PMC7189625 DOI: 10.1097/nmd.0000000000001037] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Symptom relapse in people with schizophrenia and schizoaffective disorder is common and has a negative impact on the course of illness. Here, we describe the development of Texting for Relapse Prevention, a scalable, cost-effective text messaging relapse prevention program that queries patients' "early warning signs" daily. Results of development focus groups and content advisory teams with 25 patients and 19 providers suggest that patients were enthusiastic about the program and thought that receiving daily messages about their symptoms would help them feel supported. Providers also were positive about the idea but worried that the program might interfere with patient-provider communication if patients thought that the messages were coming from providers. Patients found the content positive and actionable. The program was improved to address this feedback. This iterative development process that included multiple stakeholders ensured that the program is feasible and acceptable to both patients and providers.
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Bradstreet S, Allan S, Gumley A. Adverse event monitoring in mHealth for psychosis interventions provides an important opportunity for learning. J Ment Health 2019; 28:461-466. [PMID: 31240970 DOI: 10.1080/09638237.2019.1630727] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Simon Bradstreet
- Institute of Health and Wellbeing, University of Glasgow , Glasgow , UK
| | - Stephanie Allan
- Institute of Health and Wellbeing, University of Glasgow , Glasgow , UK
| | - Andrew Gumley
- Institute of Health and Wellbeing, University of Glasgow , Glasgow , UK
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Jonathan G, Carpenter-Song EA, Brian RM, Ben-Zeev D. Life with FOCUS: A qualitative evaluation of the impact of a smartphone intervention on people with serious mental illness. Psychiatr Rehabil J 2019; 42:182-189. [PMID: 30589278 PMCID: PMC10438016 DOI: 10.1037/prj0000337] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE A growing body of literature indicates that mobile health (mHealth) interventions that utilize smartphones for illness management are feasible, acceptable, and clinically promising. In this study, we examine how individuals with serious mental illness use a mHealth intervention-FOCUS-to self-manage their illnesses. Additionally, we explored participant perceptions of the intervention's impact on their subjective illness experience. METHOD We analyzed qualitative data from 30 individuals with serious mental illness who participated in 1 of 2 community-based, 3-month trials of FOCUS. In Study 1, weekly calls were conducted by a mHealth specialist to facilitate and enhance intervention use. In Study 2, researchers conducted qualitative interviews to gather detailed perspectives of intervention use. Data were sampled from the weekly call notes and qualitative interviews and analyzed using a thematic and collaborative approach. RESULTS Thematic analyses revealed 6 recurring themes. Three themes emerged in regard to participants' ongoing daily use of FOCUS: "back-up" support, symptom management, and self-awareness. Another 3 themes emerged related to the intervention's impact on participants' recovery processes: acceptance of symptoms, motivation and supporting positive outlook. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE This qualitative study offers insight into how individuals with serious mental illness made use of a mHealth intervention designed to support illness self-management. Our findings suggest that individuals may benefit differently from mHealth interventions depending on where they are in the recovery process. As mHealth interventions become increasingly popular in clinical settings, it is important to understand consumers' short-term and long-term benefits from these interventions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Geneva Jonathan
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine
| | | | - Rachel M. Brian
- BRiTE Center, Department of Psychiatry and Behavioral Sciences, University of Washington
| | - Dror Ben-Zeev
- BRiTE Center, Department of Psychiatry and Behavioral Sciences, University of Washington
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Eisner E, Bucci S, Berry N, Emsley R, Barrowclough C, Drake RJ. Feasibility of using a smartphone app to assess early signs, basic symptoms and psychotic symptoms over six months: A preliminary report. Schizophr Res 2019; 208:105-113. [PMID: 30979665 PMCID: PMC6551369 DOI: 10.1016/j.schres.2019.04.003] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/06/2019] [Accepted: 04/02/2019] [Indexed: 11/16/2022]
Abstract
BACKGROUND Psychosis relapses are common, have profound adverse consequences for patients, and are costly to health services. 'Early signs' have been used to predict relapse, in the hope of prevention or mitigation, with moderate sensitivity and specificity. We investigated the feasibility and validity of adding 'basic symptoms' to conventional early signs and monitoring these using a smartphone app. METHODS Individuals (n = 18) experiencing a relapse within the past year were asked to use a smartphone app ('ExPRESS') weekly for six months to report early signs, basic symptoms and psychotic symptoms. Above-threshold increases in app-reported psychotic symptoms prompted a telephone interview (PANSS positive items) to assess relapse. RESULTS Participants completed 65% app assessments and 58% telephone interviews. App items showed high concurrent validity with researcher-rated psychotic symptoms and basic symptoms over six months. There was excellent agreement between telephone call and face-to-face assessed psychotic symptoms. The primary relapse definition, based on telephone assessment and casenotes, compared well with a casenote-only definition but had better specificity. Mixed-effects models provided preliminary evidence of concurrent and predictive validity: early signs and basic symptoms were associated with most app-assessed psychotic symptom variables the same week and with a number of psychotic symptoms variables three weeks later; adding basic symptoms to early signs improved model fit in most of these cases. CONCLUSIONS This is the first study to test a smartphone app for monitoring early signs and basic symptoms as putative relapse predictors. It demonstrates that weekly app-based monitoring is feasible, valid and acceptable over six months.
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Affiliation(s)
- Emily Eisner
- University of Manchester, Division of Psychology and Mental Health, Zochonis Buildi ng (2(nd) Floor), Brunswick Street, Manchester M13 9L, United Kingdom.
| | - Sandra Bucci
- University of Manchester, Division of Psychology and Mental Health, Zochonis Buildi ng (2(nd) Floor), Brunswick Street, Manchester M13 9L, United Kingdom; Greater Manchester Mental Health NHS Foundation Trust, Bury New Road, Prestwich, Manchester, Greater Manchester M25 3BL, United Kingdom.
| | - Natalie Berry
- University of Manchester, Division of Psychology and Mental Health, Zochonis Buildi ng (2(nd) Floor), Brunswick Street, Manchester M13 9L, United Kingdom.
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, King's College London, Institute of Psychiatry, De Crespigny Park, Denmark Hill, London SE5 8AF, United Kingdom.
| | - Christine Barrowclough
- University of Manchester, Division of Psychology and Mental Health, Zochonis Buildi ng (2(nd) Floor), Brunswick Street, Manchester M13 9L, United Kingdom.
| | - Richard James Drake
- Greater Manchester Mental Health NHS Foundation Trust, Bury New Road, Prestwich, Manchester, Greater Manchester M25 3BL, United Kingdom; University of Manchester, Division of Psychology and Mental Health, Jean McFarlane Building (3(rd) Floor), Manchester M13 9L, United Kingdom.
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Caplan S, Sosa Lovera A, Reyna Liberato P. A feasibility study of a mental health mobile app in the Dominican Republic: The untold story. INTERNATIONAL JOURNAL OF MENTAL HEALTH 2019. [DOI: 10.1080/00207411.2018.1553486] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Susan Caplan
- Division of Nursing Science, School of Nursing, Rutgers University, The State University of New Jersey, Newark, NJ, USA
| | - Angelina Sosa Lovera
- Faculty, Departament of Psychology, Universidad Autónoma de Santo Domingo, Santo Domingo, Dominican Republic
| | - Patricia Reyna Liberato
- Director of Faculty and Administrative Staff Training and Capacity Building, Universidad Autónoma de Santo Domingo, Santo Domingo, Dominican Republic
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Eisner E, Drake RJ, Berry N, Barrowclough C, Emsley R, Machin M, Bucci S. Development and Long-Term Acceptability of ExPRESS, a Mobile Phone App to Monitor Basic Symptoms and Early Signs of Psychosis Relapse. JMIR Mhealth Uhealth 2019; 7:e11568. [PMID: 30924789 PMCID: PMC6460313 DOI: 10.2196/11568] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 10/25/2018] [Accepted: 12/10/2018] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Schizophrenia relapses are common, have profound, adverse consequences for patients and are costly to health services. Early signs interventions aim to use warning signs of deterioration to prevent full relapse. Such interventions show promise but could be further developed. This study addresses 2 developments: adding basic symptoms to checklists of conventional early signs and using a mobile phone app ExPRESS to aid early signs monitoring. OBJECTIVE This study aimed to (1) design a pool of self-report items assessing basic symptoms (Basic Symptoms Checklist, BSC); (2) develop and beta test a mobile phone app (ExPRESS) for monitoring early signs, basic symptoms, and psychotic symptoms; and (3) evaluate the long-term acceptability of ExPRESS via qualitative feedback from participants in a 6-month feasibility study. METHODS The BSC items and ExPRESS were developed and then adjusted following feedback from beta testers (n=5) with a schizophrenia diagnosis. Individuals (n=18) experiencing a relapse of schizophrenia within the past year were asked to use ExPRESS for 6 months to answer weekly questions about experiences of early signs, basic symptoms, and psychotic symptoms. At the end of follow-up, face-to-face qualitative interviews (n=16; 2 were uncontactable) explored experiences of using ExPRESS. The topic guide sought participants' views on the following a priori themes regarding app acceptability: item content, layout, and wording; app appearance; length and frequency of assessments; worries about app use; how app use fitted with participants' routines; and the app's extra features. Interview transcripts were analyzed using the framework method, which allows examination of both a priori and a posteriori themes, enabling unanticipated aspects of app use experiences to be explored. RESULTS Participants' mean age was 38 years (range 22-57 years). Responses to a priori topics indicated that long-term use of ExPRESS was acceptable; small changes for future versions of ExPRESS were suggested. A posteriori themes gave further insight into individuals' experiences of using ExPRESS. Some reported finding it more accessible than visits from a clinician, as assessments were more frequent, more anonymous, and did not require the individual to explain their feelings in their own words. Nevertheless, barriers to app use (eg, unfamiliarity with smartphones) were also reported. Despite ExPRESS containing no overtly therapeutic components, some participants found that answering the weekly questions prompted self-reflection, which had therapeutic value for them. CONCLUSIONS This study suggests that apps are acceptable for long-term symptom monitoring by individuals with a schizophrenia diagnosis across a wide age range. If the potential benefits are understood, patients are generally willing and motivated to use a weekly symptom-monitoring app; most participants in this study were prepared to do so for more than 6 months. TRIAL REGISTRATION ClinicalTrials.gov NCT03558529; https://clinicaltrials.gov/ct2/show/NCT03558529 (Archived by WebCite at http://www.webcitation.org/70qvtRmZY).
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Affiliation(s)
- Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Richard James Drake
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.,Greater Manchester Mental Health National Health Service Foundation Trust, Manchester, United Kingdom
| | - Natalie Berry
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Christine Barrowclough
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, United Kingdom
| | - Matthew Machin
- Division of Informatics, Imaging & Data Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.,Greater Manchester Mental Health National Health Service Foundation Trust, Manchester, United Kingdom
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Krzystanek M, Borkowski M, Skałacka K, Krysta K. A telemedicine platform to improve clinical parameters in paranoid schizophrenia patients: Results of a one-year randomized study. Schizophr Res 2019; 204:389-396. [PMID: 30154027 DOI: 10.1016/j.schres.2018.08.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 07/16/2018] [Accepted: 08/12/2018] [Indexed: 11/15/2022]
Abstract
OBJECTIVE The study objective was to test a smartphone-based MONEO platform designed to improve the clinical condition of paranoid schizophrenia patients. Telemedicine treatment is considered to be as effective as traditional treatment in outpatient clinics. METHOD A total of 290 patients with paranoid schizophrenia in the symptomatic remission state were recruited to this 12-month multicenter, open-label randomized trial. A study group (n = 191) received a smartphone with the MONEO platform installed. Patients conducted cognitive training twice a week. Patients' mental state was assessed every month via teleconference. A placebo group (n = 99) received a platform with functionality limited to monthly teleconsultation and performing cognitive training every 6 months. The clinical status was measured using the Positive and Negative Syndrome Scale (PANSS), Calgary, and Clinical Global Impression-Severity (CGI-S) clinical scales. RESULTS After 12 months, a significant reduction of symptoms was observed in the study group, as assessed using the Calgary (36%, P < 0.01) and PANSS (8.6%, P < 0.05) scales. Symptom reduction of 23.6% was also observed in the placebo group (P < 0.05, Calgary scale). In the study group, depression, positive symptoms, excitement, general psychopathology and disorganization subscales decreased significantly, while in the placebo group, only the depression subscale decreased. The greatest improvement of 11.2% (study group, P < 0.05), vs 16.2% (placebo group, P < 0.05), was observed for the depression subscale. CONCLUSION The MONEO platform was demonstrated to positively influence the clinical condition of individuals with paranoid schizophrenia. A lack of negative consequences associated with usage of the device was also reported.
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Affiliation(s)
- Marek Krzystanek
- Department of Psychiatric Rehabilitation, Department of Psychiatry and Psychotherapy, Medical School of Silesia, Ziolowa 45/47 Street, 40-635 Katowice, Poland..
| | - Mariusz Borkowski
- Department of Psychiatric Rehabilitation, Department of Psychiatry and Psychotherapy, Medical School of Silesia, Ziolowa 45/47 Street, 40-635 Katowice, Poland
| | - Katarzyna Skałacka
- Institute of Psychology, University of Opole, Kopernika 11A Street, 45-040 Opole, Poland
| | - Krzysztof Krysta
- Department of Psychiatric Rehabilitation, Department of Psychiatry and Psychotherapy, Medical School of Silesia, Ziolowa 45/47 Street, 40-635 Katowice, Poland
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Woringer M, Dharmayat KI, Greenfield G, Bottle A, Ray KK. American Heart Association's Cholesterol CarePlan as a Smartphone-Delivered Web App for Patients Prescribed Cholesterol-Lowering Medication: Protocol for an Observational Feasibility Study. JMIR Res Protoc 2019; 8:e9017. [PMID: 30679150 PMCID: PMC6365873 DOI: 10.2196/resprot.9017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 04/26/2018] [Accepted: 06/21/2018] [Indexed: 11/13/2022] Open
Abstract
Background Adoption of healthy lifestyle and compliance with cholesterol-lowering medication reduces the risk of cardiovascular disease (CVD). The use of digital tools and mobile technology may be important for sustaining positive behavioral change. Objective The primary objective of this study is to evaluate the feasibility and acceptability of administering the Cholesterol CarePlan Web app developed by the American Heart Association aimed at improving lifestyle and medication adherence among patients prescribed cholesterol-lowering medication. The secondary objective is to assess the Web app’s efficacy. Methods A prospective, observational feasibility study will be conducted to demonstrate whether the Web app may be successfully taken up by patients and will be associated with improved clinical and behavioral outcomes. The study will aim to recruit 180 study participants being prescribed cholesterol-lowering medication for at least 30 days across 14 general practices in London, England. Potentially eligible patients will be invited to use the Web app on a smartphone and visit general practice for three 20-minute clinical assessments of blood pressure, height, weight, smoking, and nonfasting cholesterol over 24 weeks. The feasibility of administering the Web app will be judged by recruitment and dropout statistics and the sociodemographic and comorbidity profile of consenting study participants, consenting nonparticipants, and all potentially eligible patients. Acceptability will be assessed using patients’ readiness to embrace new technologies, the usability of the Web app, and patient satisfaction. The efficacy of the Web app will be assessed by changes in medication adherence and clinical risk factors by levels of the Web app compliance. Results This study is currently funded by the American Heart Association. Initial study recruitment will take place between February and July 2018 followed by patient follow-up. Patient level data will be obtained in January 2019. Data analysis will be completed by February 2019. Results will be submitted for publication in March 2019. Conclusions The potential of an app to improve patients’ lifestyle and management of cholesterol may inform the design of a randomized controlled trial and the delivery of more effective CVD prevention programs. International Registered Report Identifier (IRRID) PRR1-10.2196/9017
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Affiliation(s)
| | | | | | - Alex Bottle
- Imperial College London, London, United Kingdom
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Valentiner LS, Thorsen IK, Kongstad MB, Brinkløv CF, Larsen RT, Karstoft K, Nielsen JS, Pedersen BK, Langberg H, Ried-Larsen M. Effect of ecological momentary assessment, goal-setting and personalized phone-calls on adherence to interval walking training using the InterWalk application among patients with type 2 diabetes-A pilot randomized controlled trial. PLoS One 2019; 14:e0208181. [PMID: 30629601 PMCID: PMC6328102 DOI: 10.1371/journal.pone.0208181] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 11/13/2018] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES The objective was to investigate the feasibility and usability of electronic momentary assessment, goal-setting and personalized phone-calls on adherence to a 12-week self-conducted interval walking training (IWT) program, delivered by the InterWalk smartphone among patients with type 2 diabetes (T2D). METHODS In a two-arm pilot randomized controlled trial (Denmark, March 2014 to February 2015), patients with T2D (18-80 years with a Body Mass Index of 18 and 40 kg/m2) were randomly allocated to 12 weeks of IWT with (experimental) or without additional support (control). The primary outcome was the difference between groups in accumulated time of interval walking training across 12 weeks. All patients were encouraged to use the InterWalk application to perform IWT for ≥90 minute/week. Patients in the experimental group made individual goals regarding lifestyle change. Once a week inquiries about exercise adherence was made using an ecological momentary assessment (EMA). In case of consistent self-reported non-adherence, the patients would receive a phone-call inquiring about the reason for non-adherence. The control group did not receive additional support. Information about training adherence was assessed objectively. Usability of the EMA was assessed based on response rates and self-reported satisfaction after 12-weeks. RESULTS Thirty-seven patients with T2D (66 years, 65% female, hemoglobin 1Ac 50.3 mmol/mol) where included (n = 18 and n = 19 in experimental and control group, respectively). The retention rate was 83%. The experimental group accumulated [95%CI] 345 [-7, 698] minutes of IWT more than the control group. The response rate for the text-messages was 83% (68% for males and 90% for females). Forty-one percent of the experimental and 25% of the control group were very satisfied with their participation. CONCLUSION The combination inquiry about adherence using EMA, goal-setting with the possibility of follow-up phone calls are considered feasible interventions to attain training adherence when using the InterWalk app during a 12-week period in patients with T2D. Some uncertainty about the effect size of adherence remains. TRIAL REGISTRATION Clinicaltrials.gov NCT02089477.
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Affiliation(s)
- Laura Staun Valentiner
- CopenRehab, Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ida Kær Thorsen
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre of Inflammation and Metabolism, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Malte Bue Kongstad
- CopenRehab, Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie Fau Brinkløv
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre of Inflammation and Metabolism, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Tolstrup Larsen
- CopenRehab, Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Karstoft
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre of Inflammation and Metabolism, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Pharmacology, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark
| | - Jens Steen Nielsen
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
- OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Bente Klarlund Pedersen
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre of Inflammation and Metabolism, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Henning Langberg
- CopenRehab, Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Mathias Ried-Larsen
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre of Inflammation and Metabolism, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- The Danish Diabetes Academy, Odense University Hospital, Odense, Denmark
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Kim SW, Lee GY, Yu HY, Jung EI, Lee JY, Kim SY, Kim JM, Shin IS, Yoon JS. Development and feasibility of smartphone application for cognitive-behavioural case management of individuals with early psychosis. Early Interv Psychiatry 2018; 12:1087-1093. [PMID: 28516480 DOI: 10.1111/eip.12418] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 08/23/2016] [Accepted: 10/27/2016] [Indexed: 01/08/2023]
Abstract
BACKGROUND This article describes the development of the smartphone application for cognitive-behavioural case management of young individuals with early psychosis and examines the acceptance and potential clinical benefits of this application through a pilot survey. METHODS Gwangju Bukgu-Community Mental Health Center developed and launched a smartphone application (Heal Your Mind [HYM]) for cognitive-behavioural case management and symptom monitoring. The HYM application for clients includes 6 main modules including thought record, symptom record, daily life record, official notices, communication and scales. The key module is the "thought record" for self-directed cognitive-behavioural treatment. When the client writes and sends the self-cognitive-behavioural therapy sheet to the case manager, the latter receives a notification and can provide feedback in real time. We conducted a survey to investigate the acceptance and feasibility of this approach among young clients with early psychosis. RESULTS A total of 24 clients with early psychosis participated in this survey. More than 80% of participants reported that it was easy to learn to use this application, and no one described this application as very complicated or reported that they needed a long time to learn how to use it. About 80% of participants were satisfied with this application, and 70% reported that they received help as a result of using this application. CONCLUSIONS This study suggests that this smartphone application is useful for young individuals with early psychosis and that it may contribute to the development of both young customer- and case manager-friendly systems for this clinical population.
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Affiliation(s)
- Sung-Wan Kim
- Mindlink, Gwangju Bukgu Community Mental Health Center, Gwangju, Republic of Korea.,Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Ga-Young Lee
- Mindlink, Gwangju Bukgu Community Mental Health Center, Gwangju, Republic of Korea
| | - Hye-Young Yu
- Mindlink, Gwangju Bukgu Community Mental Health Center, Gwangju, Republic of Korea
| | - Eun-I Jung
- Mindlink, Gwangju Bukgu Community Mental Health Center, Gwangju, Republic of Korea
| | - Ju-Yeon Lee
- Mindlink, Gwangju Bukgu Community Mental Health Center, Gwangju, Republic of Korea.,Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Seon-Young Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Jae-Min Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Il-Seon Shin
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Jin-Sang Yoon
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
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Should Participants be Left to their Own Devices? Comparing Paper and Smartphone Diaries in Psychological Research. JOURNAL OF APPLIED RESEARCH IN MEMORY AND COGNITION 2018. [DOI: 10.1016/j.jarmac.2018.09.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Terp M, Jørgensen R, Laursen BS, Mainz J, Bjørnes CD. A Smartphone App to Foster Power in the Everyday Management of Living With Schizophrenia: Qualitative Analysis of Young Adults' Perspectives. JMIR Ment Health 2018; 5:e10157. [PMID: 30274966 PMCID: PMC6231723 DOI: 10.2196/10157] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 08/08/2018] [Accepted: 09/04/2018] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Literature indicates that using smartphone technology is a feasible way of empowering young adults recently diagnosed with schizophrenia to manage everyday living with their illness. The perspective of young adults on this matter, however, is unexplored. OBJECTIVE This study aimed at exploring how young adults recently diagnosed with schizophrenia used and perceived a smartphone app (MindFrame) as a tool to foster power in the everyday management of living with their illness. METHODS Using participatory design thinking and methods, MindFrame was iteratively developed. MindFrame consists of a smartphone app that allows young adults to access resources to aid their self-management. The app is affiliated with a website to support collaboration with their health care providers (HCPs). From January to December 2016, community-dwelling young adults with a recent diagnosis of schizophrenia were invited to use MindFrame as part of their care. They customized the resources while assessing their health on a daily basis. Then, they were invited to evaluate the use and provide their perspective on the app. The evaluation was qualitative, and data were generated from in-depth interviews. Data were analyzed using a hermeneutical approach. RESULTS A total of 98 individuals were eligible for the study (mean age 24.8, range 18-36). Of these, 27 used MindFrame and 13 participated in the evaluation. The analysis showed that to the young adults, MindFrame served to foster power in their everyday management of living with schizophrenia. When MindFrame was used with the HCPs consistently for more than a month, it could provide them with the power to keep up their medication, to keep a step ahead of their illness, and to get appropriate help based on their needs. This empowered them to stay on track with their illness, thus in control of it. It was also reported that MindFrame could fuel the fear of restraint and illness exacerbation, thereby disempowering some from feeling certain and secure. CONCLUSIONS The findings demonstrate that young adults diagnosed with schizophrenia are amenable to use a smartphone app to monitor their health, manage their medication, and stay alert of the early signs of illness exacerbation. This may empower them to stay on track with their illness, thus in control of it. This indicates the potential of smartphone-based care being capable of aiding this specific population to more confidently manage their new life situation. The potentially disempowering aspect of MindFrame accentuates a need for further research to understand the best uptake and the limitations of smartphone-based schizophrenia care of young adults.
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Affiliation(s)
- Malene Terp
- Department of Psychiatry, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Rikke Jørgensen
- Department of Psychiatry, Aalborg University Hospital, Aalborg, Denmark
| | - Birgitte Schantz Laursen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Clinical Nursing Research Unit, Aalborg University Hospital, Aalborg, Denmark
| | - Jan Mainz
- Department of Psychiatry, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department for Community Mental Health, Haifa University, Haifa, Israel
| | - Charlotte D Bjørnes
- Clinical Nursing Research Unit, Aalborg University Hospital, Aalborg, Denmark
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45
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Bucci S, Barrowclough C, Ainsworth J, Machin M, Morris R, Berry K, Emsley R, Lewis S, Edge D, Buchan I, Haddock G. Actissist: Proof-of-Concept Trial of a Theory-Driven Digital Intervention for Psychosis. Schizophr Bull 2018; 44:1070-1080. [PMID: 29566206 PMCID: PMC6135229 DOI: 10.1093/schbul/sby032] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Timely access to intervention for psychosis is crucial yet problematic. As such, health care providers are forming digital strategies for addressing mental health challenges. A theory-driven digital intervention that monitors distressing experiences and provides real-time active management strategies could improve the speed and quality of recovery in psychosis, over and above conventional treatments. This study assesses the feasibility and acceptability of Actissist, a digital health intervention grounded in the cognitive model of psychosis that targets key early psychosis domains. METHODS A proof-of-concept, single, blind, randomized controlled trial of Actissist, compared to a symptom-monitoring control. Thirty-six early psychosis patients were randomized on a 2:1 ratio to each arm of the trial. Actissist was delivered via a smartphone app over 12-weeks; clinical and functional assessment time-points were baseline, post-treatment and 22-weeks. Assessors' blind to treatment condition conducted the assessments. Acceptability was examined using qualitative methods. RESULTS Actissist was feasible (75% participants used Actissist at least once/day; uptake was high, 97% participants remained in the trial; high follow-up rates), acceptable (90% participants recommend Actissist), and safe (0 serious adverse events), with high levels of user satisfaction. Treatment effects were large on negative symptoms, general psychotic symptoms and mood. The addition of Actissist conferred benefit at post-treatment assessment over routine symptom-monitoring and treatment as usual. CONCLUSIONS This is the first controlled proof-of-concept trial of a theory-driven digital health intervention for early psychosis. Actissist is feasible and acceptable to early psychosis patients, with a strong signal for treatment efficacy. Trial Registration: ISRCTN: 34966555.
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Affiliation(s)
- Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK,To whom correspondence should be addressed; Division of Psychology and Mental Health, University of Manchester, 2nd Floor, Zochonis Building, Brunswick Street, Manchester M13 9PL, UK; tel: +44-161-306-0422, fax: +44-161-306-0402, e-mail:
| | - Christine Barrowclough
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - John Ainsworth
- Division of Informatics Imaging and Data Sciences, University of Manchester, Manchester, UK,Health eResearch Centre, Farr Institute for Health Informatics Research, University of Manchester, Manchester, UK
| | - Matthew Machin
- Division of Informatics Imaging and Data Sciences, University of Manchester, Manchester, UK,Health eResearch Centre, Farr Institute for Health Informatics Research, University of Manchester, Manchester, UK
| | - Rohan Morris
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Katherine Berry
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Richard Emsley
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | - Shon Lewis
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Dawn Edge
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | | | - Gillian Haddock
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
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46
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Wang D, Gopal S, Baker S, Narayan VA. Trajectories and changes in individual items of positive and negative syndrome scale among schizophrenia patients prior to impending relapse. NPJ SCHIZOPHRENIA 2018; 4:10. [PMID: 29925851 PMCID: PMC6010453 DOI: 10.1038/s41537-018-0056-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 05/18/2018] [Accepted: 05/22/2018] [Indexed: 11/09/2022]
Abstract
Effective early detection of impending relapse may offer opportunities for early interventions to prevent full relapse in schizophrenia patients. Previously reported early warning signs were not consistently validated by prospective studies. It remains unclear which symptoms are most predictive of relapse. To prioritize the symptoms to be captured by periodic self-report in technology-enabled remote assessment solutions for monitoring symptoms and detecting relapse early, we analyzed data from three relapse-prevention studies to identify individual items of the Positive and Negative Syndrome Scale (PANSS) that changed the most prior to relapse and to understand exactly when these symptoms manifested. Relapse was defined by a composite endpoint: hospitalization, suicidal/homicidal ideation, violent behavior, a 25% increase in the PANSS total score, or a significant increase in at least one of several pre-specified PANSS items. Longitudinal mixed effect models were applied to model the trajectories of individual PANSS items before relapse. Among 267 relapsed patients, the PANSS items that increased the most at relapse from randomization did not differ much by different relapse reasons or medications. A subset of seven PANSS items, including delusions, suspiciousness, hallucinations, anxiety, excitement, tension, and conceptual disorganization, had on average > 1-point of increase at relapse. The trajectories of these items suggested these items started to increase 7-10 days before relapse and reached on average 1-point of increase 0.3 ~ 1.2 days before relapse. Our results indicated that a subset of PANSS items could be leveraged to develop remote assessment solutions for monitoring symptoms and detecting relapse early in schizophrenia patients.
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Affiliation(s)
- Dai Wang
- R&D Information Technology, Janssen Research & Development, LLC, Titusville, NJ, USA.
| | - Srihari Gopal
- Neuroscience Therapeutic Area, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Susan Baker
- Neuroscience Therapeutic Area, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Vaibhav A Narayan
- R&D Information Technology, Janssen Research & Development, LLC, Titusville, NJ, USA
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47
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Fuchs JD, Stojanovski K, Vittinghoff E, McMahan VM, Hosek SG, Amico KR, Kouyate A, Gilmore HJ, Buchbinder SP, Lester RT, Grant RM, Liu AY. A Mobile Health Strategy to Support Adherence to Antiretroviral Preexposure Prophylaxis. AIDS Patient Care STDS 2018; 32:104-111. [PMID: 29565183 PMCID: PMC5865612 DOI: 10.1089/apc.2017.0255] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Preexposure prophylaxis is a highly protective HIV prevention strategy, yet nonadherence can significantly reduce its effectiveness. We conducted a mixed methods evaluation of a mobile health intervention (iText) that utilized weekly bidirectional text or e-mail support messages to encourage preexposure prophylaxis (PrEP) adherence among participants in the multi-site iPrEx open-label extension study. A convenience sample of PrEP users from the San Francisco and Chicago sites participated in a 12-week pilot study. Fifty-six men who have sex with men were enrolled; a quarter of them were less than 30 years of age, 13% were black/African American, 11% were Latino, and most (88%) completed some college. Two-thirds opted for text message delivery. Of the 667 messages sent, only 1 individual requested support; initial nonresponse was observed in 22% and was higher among e-mail compared to text message recipients. Poststudy, a majority of participants would recommend the intervention to others, especially during PrEP initiation. Moreover, younger participants and men of color were more likely to report that they would use the iText strategy if it were available to them. Several participants commented that while they were aware that the messages were automated, they felt supported and encouraged that “someone was always there.” Study staff reported that the intervention is feasible to administer and can be incorporated readily into clinic flow. A pre–post intervention regression discontinuity analysis using clinic-based pill counts showed a 50% reduction in missed doses [95% confidence interval (CI) 16–71; p = 0.008] and 77% (95% CI 33–92; p = 0.007) when comparing pill counts at quarterly visits just before and after iText enrollment. A mobile health intervention using weekly bidirectional messaging was highly acceptable and demonstrated promising effects on PrEP adherence warranting further evaluation for efficacy in a randomized controlled trial.
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Affiliation(s)
- Jonathan D. Fuchs
- San Francisco Department of Public Health, San Francisco, California
- University of California, San Francisco, San Francisco, California
| | | | - Eric Vittinghoff
- University of California, San Francisco, San Francisco, California
| | | | | | - K. Rivet Amico
- University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Aminta Kouyate
- San Francisco Department of Public Health, San Francisco, California
| | | | - Susan P. Buchbinder
- San Francisco Department of Public Health, San Francisco, California
- University of California, San Francisco, San Francisco, California
| | | | - Robert M. Grant
- University of California, San Francisco, San Francisco, California
- Gladstone Institute of Virology, San Francisco, California
| | - Albert Y. Liu
- San Francisco Department of Public Health, San Francisco, California
- University of California, San Francisco, San Francisco, California
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48
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O'Hanlon P, Aref-Adib G, Fonseca A, Lloyd-Evans B, Osborn D, Johnson S. Tomorrow's world: current developments in the therapeutic use of technology for psychosis. BJPSYCH ADVANCES 2018. [DOI: 10.1192/apt.bp.115.014654] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
SummaryThere is now an established evidence base for the use of information and communication technology (ICT) to support mental healthcare (‘e-mental health’) for common mental health problems. Recently, there have been significant developments in the therapeutic use of computers, mobile phones, gaming and virtual reality technologies for the assessment and treatment of psychosis. We provide an overview of the therapeutic use of ICT for psychosis, drawing on searches of the scientific literature and the internet and using interviews with experts in the field. We outline interventions that are already relevant to clinical practice, some that may become available in the foreseeable future and emerging challenges for their implementation.
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49
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Dubad M, Winsper C, Meyer C, Livanou M, Marwaha S. A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people. Psychol Med 2018; 48:208-228. [PMID: 28641609 DOI: 10.1017/s0033291717001659] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Mobile mood-monitoring applications are increasingly used by mental health providers, widely advocated within research, and a potentially effective method to engage young people. However, little is known about their efficacy and usability in young populations. METHOD A systematic review addressing three research questions focused on young people: (1) what are the psychometric properties of mobile mood-monitoring applications; (2) what is their usability; and (3) what are their positive and negative clinical impacts? Findings were synthesised narratively, study quality assessed and compared with evidence from adult studies. RESULTS We reviewed 25 articles. Studies on the psychometric properties of mobile mood-monitoring applications were sparse, but indicate questionable to excellent internal consistency, moderate concurrent validity and good usability. Participation rates ranged from 30% to 99% across studies, and appeared to be affected by methodological factors (e.g. payments) and individual characteristics (e.g. IQ score). Mobile mood-monitoring applications are positively perceived by youth, may reduce depressive symptoms by increasing emotional awareness, and could aid in the detection of mental health and substance use problems. There was very limited evidence on potential negative impacts. CONCLUSIONS Evidence for the use of mood-monitoring applications in youth is promising but limited due to a lack of high-quality studies. Future work should explicate the effects of mobile mood-monitoring applications on effective self-regulation, clinical outcomes across disorders and young people's engagement with mental health services. Potential negative impacts in this population should also be investigated, as the adult literature suggests that application use could potentially increase negativity and depression symptoms.
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Affiliation(s)
- M Dubad
- Mental Health and Wellbeing, Division of Health Sciences,Warwick Medical School, University of Warwick,Coventry,UK
| | - C Winsper
- Mental Health and Wellbeing, Division of Health Sciences,Warwick Medical School, University of Warwick,Coventry,UK
| | - C Meyer
- Mental Health and Wellbeing, Division of Health Sciences,Warwick Medical School, University of Warwick,Coventry,UK
| | - M Livanou
- Mental Health and Wellbeing, Division of Health Sciences,Warwick Medical School, University of Warwick,Coventry,UK
| | - S Marwaha
- Mental Health and Wellbeing, Division of Health Sciences,Warwick Medical School, University of Warwick,Coventry,UK
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50
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Kang EY, Jee SJ, Kim CS, Suh KS, Wong AWK, Moon JY. The feasibility study of Computer Cognitive Senior Assessment System-Screen (CoSAS-S) in critically ill patients with sepsis. J Crit Care 2017; 44:128-133. [PMID: 29096231 DOI: 10.1016/j.jcrc.2017.10.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 09/06/2017] [Accepted: 10/09/2017] [Indexed: 11/27/2022]
Abstract
PURPOSE Early cognitive assessment in the intensive care unit (ICU) is essential to monitor cognitive dysfunction after critical illness. We have implemented a Computer Cognitive Senior Assessment System-Screen (CoSAS-S) which is a brief, objective, and tablet-based cognitive screening test as a mobile platform to detect any cognitive problems in ICUs. This study aimed to evaluate the feasibility and initial validation of a tablet-based CoSAS-S in critically ill patients with sepsis. MATERIALS AND METHODS Thirty-six eligible patients completed CoSAS-S, Mini-Mental State Examination-Korean Version (MMSE-K) and Korean Version of Montreal Cognitive Assessment (K-MoCA) for validity testing at the ICU. RESULTS Eighty-eight percent of programmed assessments were completed by the sample. Spearman correlations of the CoSAS-S with MMSE-K (rho=0.613-0.874, p<0.00) and K-MoCA scores (rho=0.666-0.897, p<0.001) were moderate to high. Intra-class correlation coefficient (ICC) of total CoSAS-S score between two raters was 0.93 (p<0.001; 95% CI=0.82-0.97), suggesting the inter-rater reliability of CoSAS-S was excellent. CONCLUSIONS Support was found for the feasibility and validity of CoSAS-S. The application of CoSAS-S could identify the cognitive functioning of the patients. Utility of CoSAS-S in other clinical populations should be tested.
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Affiliation(s)
- Eun-Young Kang
- Rehabilitation and Participation Science, Program in Occupational Therapy, Washing University School of Medicine in St. Louis, MO, USA.
| | - Sung Ju Jee
- Department of Rehabilitation Medicine, Chungnam National University Hospital, School of Medicine, Chungnam National University, Daejeon, Republic of Korea.
| | - Cuk-Seong Kim
- Department of Physiology, School of Medicine, Chungnam National University, Deajeon, Republic of Korea.
| | - Kwang-Sun Suh
- Department of Pathology, Chungnam National University Hospital, Chungnam National University School of Medicine, Deajeon, Republic of Korea.
| | - Alex W K Wong
- Program in Occupational Therapy and Department of Neurology, Washington University School of Medicine in St. Louis, MO, USA.
| | - Jae Young Moon
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, Republic of Korea.
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