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Milne-Ives M, Homer S, Andrade J, Meinert E. The conceptualisation and measurement of engagement in digital health. Internet Interv 2024; 36:100735. [PMID: 38558760 PMCID: PMC10979253 DOI: 10.1016/j.invent.2024.100735] [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: 12/08/2023] [Revised: 02/12/2024] [Accepted: 03/08/2024] [Indexed: 04/04/2024] Open
Abstract
Digital tools are an increasingly important component of healthcare, but their potential impact is commonly limited by a lack of user engagement. Digital health evaluations of engagement are often restricted to system usage metrics, which cannot capture a full understanding of how and why users engage with an intervention. This study aimed to examine how theory-based, multifaceted measures of engagement with digital health interventions capture different components of engagement (affective, cognitive, behavioural, micro, and macro) and to consider areas that are unclear or missing in their measurement. We identified and compared two recently developed measures that met these criteria (the Digital Behaviour Change Intervention Engagement Scale and the TWente Engagement with Ehealth Technologies Scale). Despite having similar theoretical bases and being relatively strongly correlated, there are key differences in how these scales aim to capture engagement. We discuss the implications of our analysis for how affective, cognitive, and behavioural components of engagement can be conceptualised and whether there is value in distinguishing between them. We conclude with recommendations for the circumstances in which each scale may be most useful and for how future measure development could supplement existing scales.
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Affiliation(s)
- Madison Milne-Ives
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Centre for Health Technology, University of Plymouth, Plymouth, UK
| | - Sophie Homer
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Jackie Andrade
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Edward Meinert
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Centre for Health Technology, University of Plymouth, Plymouth, UK
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK
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2
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Schläpfer S, Schneider F, Santhanam P, Eicher M, Kowatsch T, Witt CM, Barth J. Engagement With a Relaxation and Mindfulness Mobile App Among People With Cancer: Exploratory Analysis of Use Data and Self-Reports From a Randomized Controlled Trial. JMIR Cancer 2024; 10:e52386. [PMID: 38819907 PMCID: PMC11179041 DOI: 10.2196/52386] [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: 09/06/2023] [Revised: 02/01/2024] [Accepted: 04/14/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Mobile health (mHealth) apps offer unique opportunities to support self-care and behavior change, but poor user engagement limits their effectiveness. This is particularly true for fully automated mHealth apps without any human support. Human support in mHealth apps is associated with better engagement but at the cost of reduced scalability. OBJECTIVE This work aimed to (1) describe the theory-informed development of a fully automated relaxation and mindfulness app to reduce distress in people with cancer (CanRelax app 2.0), (2) describe engagement with the app on multiple levels within a fully automated randomized controlled trial over 10 weeks, and (3) examine whether engagement was related to user characteristics. METHODS The CanRelax app 2.0 was developed in iterative processes involving input from people with cancer and relevant experts. The app includes evidence-based relaxation exercises, personalized weekly coaching sessions with a rule-based conversational agent, 39 self-enactable behavior change techniques, a self-monitoring dashboard with gamification elements, highly tailored reminder notifications, an educational video clip, and personalized in-app letters. For the larger study, German-speaking adults diagnosed with cancer within the last 5 years were recruited via the web in Switzerland, Austria, and Germany. Engagement was analyzed in a sample of 100 study participants with multiple measures on a micro level (completed coaching sessions, relaxation exercises practiced with the app, and feedback on the app) and a macro level (relaxation exercises practiced without the app and self-efficacy toward self-set weekly relaxation goals). RESULTS In week 10, a total of 62% (62/100) of the participants were actively using the CanRelax app 2.0. No associations were identified between engagement and level of distress at baseline, sex assigned at birth, educational attainment, or age. At the micro level, 71.88% (3520/4897) of all relaxation exercises and 714 coaching sessions were completed in the app, and all participants who provided feedback (52/100, 52%) expressed positive app experiences. At the macro level, 28.12% (1377/4897) of relaxation exercises were completed without the app, and participants' self-efficacy remained stable at a high level. At the same time, participants raised their weekly relaxation goals, which indicates a potential relative increase in self-efficacy. CONCLUSIONS The CanRelax app 2.0 achieved promising engagement even though it provided no human support. Fully automated social components might have compensated for the lack of human involvement and should be investigated further. More than one-quarter (1377/4897, 28.12%) of all relaxation exercises were practiced without the app, highlighting the importance of assessing engagement on multiple levels.
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Affiliation(s)
- Sonja Schläpfer
- Institute for Complementary and Integrative Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Fabian Schneider
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Prabhakaran Santhanam
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Manuela Eicher
- Institute of Higher Education and Research in Healthcare, Faculty of Biology and Medicine, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Tobias Kowatsch
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St.Gallen, St.Gallen, Switzerland
| | - Claudia M Witt
- Institute for Complementary and Integrative Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Jürgen Barth
- Institute for Complementary and Integrative Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
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Danese A, Martsenkovskyi D, Remberk B, Khalil MY, Diggins E, Keiller E, Masood S, Awah I, Barbui C, Beer R, Calam R, Gagliato M, Jensen TK, Kostova Z, Leckman JF, Lewis SJ, Lorberg B, Myshakivska O, Pfeiffer E, Rosner R, Schleider JL, Shenderovich Y, Skokauskas N, Tolan PH, Caffo E, Sijbrandij M, Ougrin D, Leventhal BL, Weisz JR. Scoping Review: Digital Mental Health Interventions for Children and Adolescents Affected by War. J Am Acad Child Adolesc Psychiatry 2024:S0890-8567(24)00243-0. [PMID: 38735431 DOI: 10.1016/j.jaac.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 02/19/2024] [Accepted: 02/23/2024] [Indexed: 05/14/2024]
Abstract
OBJECTIVE More than 200 million children and adolescents live in countries affected by violent conflict, are likely to have complex mental health needs, and struggle to access traditional mental health services. Digital mental health interventions have the potential to overcome some of the barriers in accessing mental health support. We performed a scoping review to map existing digital mental health interventions relevant for children and adolescents affected by war, to examine the strength of the evidence base, and to inform the development of future interventions. METHOD Based on a pre-registered strategy, we systematically searched MEDLINE, Embase, Global Health, APA PsychInfo, and Google Scholar from the creation of each database to September 30, 2022, identifying k = 6,843 studies. Our systematic search was complemented by extensive consultation with experts from the GROW Network. RESULTS The systematic search identified 6 relevant studies: 1 study evaluating digital mental health interventions for children and adolescents affected by war, and 5 studies for those affected by disasters. Experts identified 35 interventions of possible relevance. The interventions spanned from universal prevention to specialist-guided treatment. Most interventions directly targeted young people and parents or carers/caregivers and were self-guided. A quarter of the interventions were tested through randomized controlled trials. Because most interventions were not culturally or linguistically adapted to relevant contexts, their implementation potential was unclear. CONCLUSION There is very limited evidence for the use of digital mental health interventions for children and adolescents affected by war at present. The review provides a framework to inform the development of new interventions. DIVERSITY & INCLUSION STATEMENT We actively worked to promote sex and gender balance in our author group. STUDY PREREGISTRATION INFORMATION Digital mental health interventions for children and young people affected by war: a scoping review; https://osf.io/; hrny9.
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Affiliation(s)
- Andrea Danese
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
| | - Dmytro Martsenkovskyi
- Bogomolets National Medical University, Kyiv, Ukraine; SI Institute of Psychiatry, Forensic Psychiatric Examination and Drug Monitoring of Ministry of Health of Ukraine, Kyiv, Ukraine; National Children's Specialized Hospital OHMATDYT, Kyiv, Ukraine
| | | | | | - Emma Diggins
- University of Leeds, Leeds, United Kingdom; Leeds Community Healthcare NHS Trust, Leeds, United Kingdom
| | - Eleanor Keiller
- Queen Mary University of London, London, UK; East London NHS Foundation Trust, London, United Kingdom
| | - Saba Masood
- Queen Mary University of London, London, UK; East London NHS Foundation Trust, London, United Kingdom
| | - Isang Awah
- University of Oxford, Oxford, United Kingdom
| | | | - Renée Beer
- EMDR Europe Association, Lausanne, Switzerland
| | - Rachel Calam
- University of Manchester, Manchester, United Kingdom
| | - Marcio Gagliato
- The Mental Health and Psychosocial Support Network - MHPSS.net; Fordham University, New York City, New York
| | - Tine K Jensen
- University of Oslo, Oslo, Norway; Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - Zlatina Kostova
- University of Massachusetts Chan Medical School, Worcester, Massachusetts. Prof. Leckman is with
| | | | - Stephanie J Lewis
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Boris Lorberg
- University of Massachusetts Chan Medical School, Worcester, Massachusetts. Prof. Leckman is with
| | - Olha Myshakivska
- Institute of Psychiatry, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
| | | | - Rita Rosner
- Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | | | - Yulia Shenderovich
- Cardiff University, Cardiff, United Kingdom; University of Oxford, Oxford, United Kingdom
| | | | | | - Ernesto Caffo
- University of Modena and Reggio Emilia, Italy; Foundation Child; and the Foundation SOS Il Telefono Azzurro ONLUS
| | | | - Dennis Ougrin
- Queen Mary University of London, London, UK; East London NHS Foundation Trust, London, United Kingdom
| | | | - John R Weisz
- Harvard University, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts
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Baker J, Kendal S, Bojke C, Louch G, Halligan D, Shafiq S, Sturley C, Walker L, Brown M, Berzins K, Brierley-Jones L, O'Hara JK, Blackwell K, Wormald G, Canvin K, Vincent C. A service-user digital intervention to collect real-time safety information on acute, adult mental health wards: the WardSonar mixed-methods study. HEALTH AND SOCIAL CARE DELIVERY RESEARCH 2024; 12:1-182. [PMID: 38794956 DOI: 10.3310/udbq8402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Background Acute inpatient mental health services report high levels of safety incidents. The application of patient safety theory has been sparse, particularly concerning interventions that proactively seek patient perspectives. Objective(s) Develop and evaluate a theoretically based, digital monitoring tool to collect real-time information from patients on acute adult mental health wards about their perceptions of ward safety. Design Theory-informed mixed-methods study. A prototype digital monitoring tool was developed from a co-design approach, implemented in hospital settings, and subjected to qualitative and quantitative evaluation. Setting and methods Phase 1: scoping review of the literature on patient involvement in safety interventions in acute mental health care; evidence scan of digital technology in mental health contexts; qualitative interviews with mental health patients and staff about perspectives on ward safety. This, alongside stakeholder engagement with advisory groups, service users and health professionals, informed the development processes. Most data collection was virtual. Phase 1 resulted in the technical development of a theoretically based digital monitoring tool that collected patient feedback for proactive safety monitoring. Phase 2: implementation of the tool in six adult acute mental health wards across two UK NHS trusts; evaluation via focused ethnography and qualitative interviews. Statistical analysis of WardSonar data and routine ward data involving construction of an hour-by-hour data set per ward, permitting detailed analysis of the use of the WardSonar tool. Participants A total of 8 patients and 13 mental health professionals participated in Phase 1 interviews; 33 staff and 34 patients participated in Phase 2 interviews. Interventions Patients could use a web application (the WardSonar tool) to record real-time perceptions of ward safety. Staff could access aggregated, anonymous data to inform timely interventions. Results Coronavirus disease 2019 restrictions greatly impacted the study. Stakeholder engagement permeated the project. Phase 1 delivered a theory-based, collaboratively designed digital tool for proactive patient safety monitoring. Phase 2 showed that the tool was user friendly and broadly acceptable to patients and staff. The aggregated safety data were infrequently used by staff. Feasibility depended on engaged staff and embedding use of the tool in ward routines. There is strong evidence that an incident leads to increased probability of further incidents within the next 4 hours. This puts a measure on the extent to which social/behavioural contagion persists. There is weak evidence to suggest that an incident leads to a greater use of the WardSonar tool in the following hour, but none to suggest that ward atmosphere predicts future incidents. Therefore, how often patients use the tool seems to send a stronger signal about potential incidents than patients' real-time reports about ward atmosphere. Limitations Implementation was limited to two NHS trusts. Coronavirus disease 2019 impacted design processes including stakeholder engagement; implementation; and evaluation of the monitoring tool in routine clinical practice. Higher uptake could enhance validity of the results. Conclusions WardSonar has the potential to provide a valuable route for patients to communicate safety concerns. The WardSonar monitoring tool has a strong patient perspective and uses proactive real-time safety monitoring rather than traditional retrospective data review. Future work The WardSonar tool can be refined and tested further in a post Coronavirus disease 2019 context. Study registration This study is registered as ISRCTN14470430. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR128070) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 14. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- John Baker
- School of Healthcare, Baines Wing, University of Leeds, Leeds, UK
| | - Sarah Kendal
- School of Healthcare, Baines Wing, University of Leeds, Leeds, UK
| | - Chris Bojke
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Gemma Louch
- Yorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, UK
| | - Daisy Halligan
- School of Healthcare, Baines Wing, University of Leeds, Leeds, UK
| | - Saba Shafiq
- School of Healthcare, Baines Wing, University of Leeds, Leeds, UK
| | | | - Lauren Walker
- Yorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, UK
| | - Mark Brown
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Kathryn Berzins
- School of Healthcare, Baines Wing, University of Leeds, Leeds, UK
| | | | - Jane K O'Hara
- School of Healthcare, Baines Wing, University of Leeds, Leeds, UK
| | | | - Gemma Wormald
- Department of Health Sciences, University of York, York, UK
| | - Krysia Canvin
- School of Healthcare, Baines Wing, University of Leeds, Leeds, UK
| | - Charles Vincent
- Social Spider CIC, The Mill (Community Centre), London, UK
- Thrive by Design, Leeds, UK
- University of Oxford Medical Sciences Division, Oxford, UK
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5
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Woolley MG, Klimczak KS, Davis CH, Levin ME. Predictors of adherence to a publicly available self-guided digital mental health intervention. Cogn Behav Ther 2024:1-15. [PMID: 38619511 DOI: 10.1080/16506073.2024.2341807] [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: 08/29/2023] [Accepted: 04/04/2024] [Indexed: 04/16/2024]
Abstract
Low adherence to self-guided digital mental health interventions (DMHIs) have raised concerns about their real-world effectiveness. Naturalistic data from self-guided DMHIs are often not available, hindering our ability to assess adherence among real-world users. This study aimed to analyze 3 years of user data from the public launch of an empirically supported 12-session self-guided DMHI, to assess overall program adherence rates and explore predictors of adherence. Data from 984 registered users were analyzed. Results showed that only 14.8% of users completed all 12 modules and 68.6% completed less than half of the modules. Users who were younger, had milder depression, had never seen a mental health provider, and who rejected signing-up for weekly program emails completed significantly more modules. Results add to concerns about the generalizability of controlled research on DMHIs due to lower adherence outside of research trials. This study highlights the potential of user data in identifying key factors that may be related to adherence. By examining adherence patterns among different sub-sets of users, we can pinpoint and focus on individuals who may adhere and benefit more from self-guided programs. Findings could also have implications for guiding intervention personalization for individuals who struggle to complete DMHIs.
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Affiliation(s)
| | | | - Carter H Davis
- Department of Psychology, Utah State University, Logan, USA
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Ahuvia IL, Sung JY, Dobias ML, Nelson BD, Richmond LL, London B, Schleider JL. College student interest in teletherapy and self-guided mental health supports during the COVID-19 pandemic. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2024; 72:940-946. [PMID: 35427460 DOI: 10.1080/07448481.2022.2062245] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 01/24/2022] [Accepted: 03/30/2022] [Indexed: 06/14/2023]
Abstract
Objective The COVID-19 pandemic has worsened college students' mental health while simultaneously creating new barriers to traditional in-person care. Teletherapy and online self-guided mental health supports are two potential avenues for addressing unmet mental health needs when face-to-face services are less accessible, but little is known about factors that shape interest in these supports. Participants: 1,224 U.S. undergraduate students (mean age = 20.7; 73% female; 40% White) participated. Methods: Students completed an online questionnaire assessing interest in teletherapy and self-guided supports. Predictors included age, sex, race/ethnicity, sexual minority status, and anxiety and depression symptomatology. Results: Interest rates were 20% and 25% for at-cost supports (teletherapy and online self-help, respectively) and 70% and 72% for free supports (teletherapy and online self-help, respectively). Patterns emerged by age, anxiety symptom severity, and race/ethnicity. Conclusions: Results may inform universities' efforts to optimize students' engagement with nontraditional, digital mental health supports, including teletherapy and self-guided programs. The SARS-CoV2 (COVID-19) pandemic has taken a severe toll on public health, with effects reaching far beyond unprecedented illness and mortality. Levels of mental health difficulties appear to be rising broadly as the pandemic has progressed, both in the general U.S. population and among college students specifically.1,2 The COVID-19 pandemic and its repercussions may undermine college student mental health in myriad ways.2 Concurrently, students now face the potential for serious illness, loss of loved ones, financial strain, social isolation, loss of on-campus resources, and sudden disruption of routines-creating a "perfect storm" for the emergence or exacerbation of psychological distress.
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Affiliation(s)
- Isaac L Ahuvia
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Jenna Y Sung
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Mallory L Dobias
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Brady D Nelson
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Lauren L Richmond
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Bonita London
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Jessica L Schleider
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
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Nelson LA, Spieker AJ, LeStourgeon LM, Greevy Jr RA, Molli S, Roddy MK, Mayberry LS. The Goldilocks Dilemma on Balancing User Response and Reflection in mHealth Interventions: Observational Study. JMIR Mhealth Uhealth 2024; 12:e47632. [PMID: 38297891 PMCID: PMC10850735 DOI: 10.2196/47632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 11/29/2023] [Accepted: 11/30/2023] [Indexed: 02/02/2024] Open
Abstract
Background Mobile health (mHealth) has the potential to radically improve health behaviors and quality of life; however, there are still key gaps in understanding how to optimize mHealth engagement. Most engagement research reports only on system use without consideration of whether the user is reflecting on the content cognitively. Although interactions with mHealth are critical, cognitive investment may also be important for meaningful behavior change. Notably, content that is designed to request too much reflection could result in users' disengagement. Understanding how to strike the balance between response burden and reflection burden has critical implications for achieving effective engagement to impact intended outcomes. Objective In this observational study, we sought to understand the interplay between response burden and reflection burden and how they impact mHealth engagement. Specifically, we explored how varying the response and reflection burdens of mHealth content would impact users' text message response rates in an mHealth intervention. Methods We recruited support persons of people with diabetes for a randomized controlled trial that evaluated an mHealth intervention for diabetes management. Support person participants assigned to the intervention (n=148) completed a survey and received text messages for 9 months. During the 2-year randomized controlled trial, we sent 4 versions of a weekly, two-way text message that varied in both reflection burden (level of cognitive reflection requested relative to that of other messages) and response burden (level of information requested for the response relative to that of other messages). We quantified engagement by using participant-level response rates. We compared the odds of responding to each text and used Poisson regression to estimate associations between participant characteristics and response rates. Results The texts requesting the most reflection had the lowest response rates regardless of response burden (high reflection and low response burdens: median 10%, IQR 0%-40%; high reflection and high response burdens: median 23%, IQR 0%-51%). The response rate was highest for the text requesting the least reflection (low reflection and low response burdens: median 90%, IQR 61%-100%) yet still relatively high for the text requesting medium reflection (medium reflection and low response burdens: median 75%, IQR 38%-96%). Lower odds of responding were associated with higher reflection burden (P<.001). Younger participants and participants who had a lower socioeconomic status had lower response rates to texts with more reflection burden, relative to those of their counterparts (all P values were <.05). Conclusions As reflection burden increased, engagement decreased, and we found more disparities in engagement across participants' characteristics. Content encouraging moderate levels of reflection may be ideal for achieving both cognitive investment and system use. Our findings provide insights into mHealth design and the optimization of both engagement and effectiveness.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Robert A Greevy Jr
- Department of Biostatistics, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Samuel Molli
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - McKenzie K Roddy
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
- Department of Biomedical Informatics, Vanderbilt University Medical Center, NashvilleTN, United States
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8
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Milne-Ives M, Homer SR, Andrade J, Meinert E. Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review. Front Psychol 2023; 14:1227443. [PMID: 37794916 PMCID: PMC10545861 DOI: 10.3389/fpsyg.2023.1227443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 09/04/2023] [Indexed: 10/06/2023] Open
Abstract
Introduction Lack of engagement is a common challenge for digital health interventions. To achieve their potential, it is necessary to understand how best to support users' engagement with interventions and target health behaviors. The aim of this systematic review was to identify the behavioral theories and behavior change techniques being incorporated into mobile health apps and how they are associated with the different components of engagement. Methods The review was structured using the PRISMA and PICOS frameworks and searched six databases in July 2022: PubMed, Embase, CINAHL, APA PsycArticles, ScienceDirect, and Web of Science. Risk of bias was evaluated using the Cochrane Collaboration Risk of Bias 2 and the Mixed Methods Appraisal Tools. Analysis A descriptive analysis provided an overview of study and app characteristics and evidence for potential associations between Behavior Change Techniques (BCTs) and engagement was examined. Results The final analysis included 28 studies. Six BCTs were repeatedly associated with user engagement: goal setting, self-monitoring of behavior, feedback on behavior, prompts/cues, rewards, and social support. There was insufficient data reported to examine associations with specific components of engagement, but the analysis indicated that the different components were being captured by various measures. Conclusion This review provides further evidence supporting the use of common BCTs in mobile health apps. To enable developers to leverage BCTs and other app features to optimize engagement in specific contexts and individual characteristics, we need a better understanding of how BCTs are associated with different components of engagement. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42022312596.
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Affiliation(s)
- Madison Milne-Ives
- Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Sophie R. Homer
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, United Kingdom
| | - Jackie Andrade
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, United Kingdom
| | - Edward Meinert
- Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
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Candy S, Reeve J, Dobson R, Whittaker R, Garrett J, Warren J, Calder A, Tane T, Robertson T, Rashid U, Taylor D. The Impact of Patient Preference on Attendance and Completion Rates at Centre-Based and mHealth Pulmonary Rehabilitation: A Non-Inferiority Pragmatic Clinical Trial. Int J Chron Obstruct Pulmon Dis 2023; 18:1419-1429. [PMID: 37465821 PMCID: PMC10350416 DOI: 10.2147/copd.s408423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/03/2023] [Indexed: 07/20/2023] Open
Abstract
Purpose Pulmonary rehabilitation (PR) is vital in the management of chronic respiratory disorders (CRDs) although uptake, attendance and completion are poor. Differing models of delivering PR are emerging in an attempt to increase the uptake and completion of this intervention. This study aimed to evaluate participant rate of attendance and completion of PR when given a preference regarding model of delivery (centre-based and mPR). Secondary aims were to evaluate the factors affecting patient preference for model of delivery and determine whether mPR is non-inferior to centre-based PR in health outcomes. Methods A multi-centre non-inferiority preference based clinical trial in Auckland, New Zealand. Participants with a CRD referred for PR were offered the choice of centre-based or mHealth PR (mPR). The primary outcome was completion rate of chosen intervention. Results A total of 105 participants were recruited to the study with 67 (64%) preferring centre-based and 38 (36%) mPR. The odds of completing the PR programme were higher in the centre-based group compared to mPR (odds ratio 1.90 95% CI [0.83-4.35]). Participants opting for mPR were significantly younger (p = 0.002) and significantly more likely to be working (p = 0.0001). Results showed that mPR was not inferior to centre-based regarding changes in symptom scores (CAT) or time spent in sedentary behaviour (SBQ). When services were forced to transition to telehealth services during COVID-19 restrictions, the attendance and completion rates were higher with telephone calls and video conferencing compared to mPR - suggesting that synchronous interpersonal interactions with clinicians may facilitate the best attendance and completion rates. Conclusion When offered the choice of PR delivery method, the majority of participants preferred centre-based PR and this facilitated the best completion rates. mPR was the preferred choice for younger, working participants suggesting that mPR may offer a viable alternative to centre-based PR for some participants, especially younger, employed participants.
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Affiliation(s)
- Sarah Candy
- Te Whatu Ora Counties Manukau Health, Auckland, New Zealand
- Health & Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
| | - Julie Reeve
- Health & Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
| | - Rosie Dobson
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
- Te Whatu Ora Waitematā, Auckland, New Zealand
| | - Robyn Whittaker
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
- Te Whatu Ora Waitematā, Auckland, New Zealand
| | | | - Jim Warren
- School of Computer Science, University of Auckland, Auckland, New Zealand
| | - Amanda Calder
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
| | - Taria Tane
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
| | | | - Usman Rashid
- Health & Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
| | - Denise Taylor
- Health & Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
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10
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Sobolev M, Anand A, Dziak JJ, Potter LN, Lam CY, Wetter DW, Nahum-Shani I. Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies. Front Digit Health 2023; 5:1144081. [PMID: 37122813 PMCID: PMC10134394 DOI: 10.3389/fdgth.2023.1144081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/22/2023] [Indexed: 05/02/2023] Open
Abstract
Objective Insufficient engagement is a critical barrier impacting the utility of digital interventions and mobile health assessments. As a result, engagement itself is increasingly becoming a target of studies and interventions. The purpose of this study is to investigate the dynamics of engagement in mobile health data collection by exploring whether, how, and why response to digital self-report prompts change over time in smoking cessation studies. Method Data from two ecological momentary assessment (EMA) studies of smoking cessation among diverse smokers attempting to quit (N = 573) with a total of 65,974 digital self-report prompts. We operationalize engagement with self-reporting in term of prompts delivered and prompt response to capture both broad and more granular engagement in self-reporting, respectively. The data were analyzed to describe trends in prompt delivered and prompt response over time. Time-varying effect modeling (TVEM) was employed to investigate the time-varying effects of response to previous prompt and the average response rate on the likelihood of current prompt response. Results Although prompt response rates were relatively stable over days in both studies, the proportion of participants with prompts delivered declined steadily over time in one of the studies, indicating that over time, fewer participants charged the device and kept it turned on (necessary to receive at least one prompt per day). Among those who did receive prompts, response rates were relatively stable. In both studies, there is a significant, positive and stable relationship between response to previous prompt and the likelihood of response to current prompt throughout all days of the study. The relationship between the average response rate prior to current prompt and the likelihood of responding to the current prompt was also positive, and increasing with time. Conclusion Our study highlights the importance of integrating various indicators to measure engagement in digital self-reporting. Both average response rate and response to previous prompt were highly predictive of response to the next prompt across days in the study. Dynamic patterns of engagement in digital self-reporting can inform the design of new strategies to promote and optimize engagement in digital interventions and mobile health studies.
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Affiliation(s)
| | - Aditi Anand
- Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
| | - John J. Dziak
- Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, United States
| | - Lindsey N. Potter
- Department of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Cho Y. Lam
- Department of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - David W. Wetter
- Department of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Inbal Nahum-Shani
- Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
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11
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Kim EH, Jenness JL, Miller AB, Halabi R, de Zambotti M, Bagot KS, Baker FC, Pratap A. Association of Demographic and Socioeconomic Indicators With the Use of Wearable Devices Among Children. JAMA Netw Open 2023; 6:e235681. [PMID: 36995714 PMCID: PMC10064258 DOI: 10.1001/jamanetworkopen.2023.5681] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 02/14/2023] [Indexed: 03/31/2023] Open
Abstract
Importance The use of consumer-grade wearable devices for collecting data for biomedical research may be associated with social determinants of health (SDoHs) linked to people's understanding of and willingness to join and remain engaged in remote health studies. Objective To examine whether demographic and socioeconomic indicators are associated with willingness to join a wearable device study and adherence to wearable data collection in children. Design, Setting, and Participants This cohort study used wearable device usage data collected from 10 414 participants (aged 11-13 years) at the year-2 follow-up (2018-2020) of the ongoing Adolescent Brain and Cognitive Development (ABCD) Study, performed at 21 sites across the United States. Data were analyzed from November 2021 to July 2022. Main Outcomes and Measures The 2 primary outcomes were (1) participant retention in the wearable device substudy and (2) total device wear time during the 21-day observation period. Associations between the primary end points and sociodemographic and economic indicators were examined. Results The mean (SD) age of the 10 414 participants was 12.00 (0.72) years, with 5444 (52.3%) male participants. Overall, 1424 participants (13.7%) were Black; 2048 (19.7%), Hispanic; and 5615 (53.9%) White. Substantial differences were observed between the cohort that participated and shared wearable device data (wearable device cohort [WDC]; 7424 participants [71.3%]) compared with those who did not participate or share data (no wearable device cohort [NWDC]; 2900 participants [28.7%]). Black children were significantly underrepresented (-59%) in the WDC (847 [11.4%]) compared with the NWDC (577 [19.3%]; P < .001). In contrast, White children were overrepresented (+132%) in the WDC (4301 [57.9%]) vs the NWDC (1314 [43.9%]; P < .001). Children from low-income households (<$24 999) were significantly underrepresented in WDC (638 [8.6%]) compared with NWDC (492 [16.5%]; P < .001). Overall, Black children were retained for a substantially shorter duration (16 days; 95% CI, 14-17 days) compared with White children (21 days; 95% CI, 21-21 days; P < .001) in the wearable device substudy. In addition, total device wear time during the observation was notably different between Black vs White children (β = -43.00 hours; 95% CI, -55.11 to -30.88 hours; P < .001). Conclusions and Relevance In this cohort study, large-scale wearable device data collected from children showed considerable differences between White and Black children in terms of enrollment and daily wear time. While wearable devices provide an opportunity for real-time, high-frequency contextual monitoring of individuals' health, future studies should account for and address considerable representational bias in wearable data collection associated with demographic and SDoH factors.
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Affiliation(s)
- Ethan H. Kim
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Jessica L. Jenness
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle
| | - Adam Bryant Miller
- RTI International, Research Triangle Park, North Carolina
- University of North Carolina at Chapel Hill
| | - Ramzi Halabi
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | | | - Kara S. Bagot
- Addiction Institute, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, California
| | - Abhishek Pratap
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
- King’s College London, London, United Kingdom
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle
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12
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Sadeh-Sharvit S, Idan O, Fowler LA, Fitzsimmons-Craft EE, Firebaugh ML, Smith A, Graham AK, Goel NJ, Flatt RE, Balantekin KN, Monterubio GE, Karam AM, Funk B, Trockel MT, Wilfley DE, Taylor CB. Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches. Eat Disord 2023; 31:191-199. [PMID: 36178245 PMCID: PMC10587906 DOI: 10.1080/10640266.2022.2110698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Digital guided self-help for eating disorders (GSH-ED) can reduce treatment disparities. Understanding program participants' interests throughout the program can help adapt programs to the service users' needs. Participants were 383 college students receiving a digital GSH-ED, who were each assigned a coach to help them better utilize the intervention through text correspondence. A thematic and affective analysis of the texts participants had sent found they primarily focused on: strategies for changing their ED-related cognitions, behaviors, and relationships; describing symptoms without expressing an active endeavor to change; and participants' relationship with their coach. Most texts also expressed affect, demonstrating emotional engagement with the intervention. Findings suggest that participants in GSH-ED demonstrate high involvement with the intervention, and discuss topics that are similar to those reported in clinician-facilitated interventions. The themes discussed by digital program participants can inform future iterations of GSH-ED, thereby increasing scalability and accessibility of digital evidence-based ED interventions.
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Affiliation(s)
- Shiri Sadeh-Sharvit
- Center for mHealth, Palo Alto University, Palo Alto, CA, USA
- Stanford University Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
- Baruch Ivcher School of Psychology, Interdisciplinary Center, Herzliya, Israel
| | - Orly Idan
- Baruch Ivcher School of Psychology, Interdisciplinary Center, Herzliya, Israel
| | - Lauren A. Fowler
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Marie-Laure Firebaugh
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Arielle Smith
- Center for mHealth, Palo Alto University, Palo Alto, CA, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrea K. Graham
- Department of Medical Social Science, Northwestern University, Chicago, IL, USA
| | - Neha J. Goel
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Rachael E. Flatt
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Grace E. Monterubio
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Anna M. Karam
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Mickey T. Trockel
- Stanford University Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
| | - Denise E. Wilfley
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - C. Barr Taylor
- Center for mHealth, Palo Alto University, Palo Alto, CA, USA
- Stanford University Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
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13
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Gan DZQ, McGillivray L, Larsen ME, Torok M. Promoting engagement with self-guided digital therapeutics for mental health: Insights from a cross-sectional survey of end-users. J Clin Psychol 2023; 79:1386-1397. [PMID: 36693234 DOI: 10.1002/jclp.23486] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/06/2022] [Accepted: 01/08/2023] [Indexed: 01/26/2023]
Abstract
BACKGROUND Poor engagement has hindered the dissemination of self-guided digital therapeutics for mental health. Evidence on the efficacy of technology-supported strategies designed for increasing engagement with these interventions is currently inconclusive. Few studies have examined user perceptions of such strategies, which could yield key insights for enhancing their effectiveness. METHODS Two hundred and eleven participants completed a cross-sectional online survey. All participants were aged 18 years and above, living in Australia, fluent in English, and self-reported prior use of digital therapeutics for mental health needs. Survey items elicited participants' views on factor(s) contributing to their engagement/disengagement with digital therapeutics, and perceptions of engagement strategies, including: automated electronic reminders, fun facts, quizzes, and social media platforms. χ2 tests of independence were used to analyse nominal data. Inductive thematic analysis was used to analyse free-text data. RESULTS Factors facilitating engagement included digestible content, assurance of confidentiality, and esthetically appealing design. Factors hindering engagement included lack of time, forgetfulness, and lack of perceived intervention efficacy. Participants had mixed views over the feasibility and acceptability of the strategies explored toward promoting engagement. CONCLUSIONS Regardless of strategy type, succinct and easily applicable content was identified as an important feature for promoting engagement. Conversely, content that could trigger psychological distress among intervention users should be avoided. Overall, the diverse range of user perspectives highlighted that engagement strategies for any specific digital intervention should be co-designed with individuals with lived experience of mental health difficulties.
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Affiliation(s)
- Daniel Z Q Gan
- Black Dog Institute, University of New South Wales, Sydney, Australia
| | | | - Mark E Larsen
- Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Michelle Torok
- Black Dog Institute, University of New South Wales, Sydney, Australia
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14
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Lo B, Pham Q, Sockalingam S, Wiljer D, Strudwick G. Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study. Digit Health 2022; 8:20552076221129059. [PMID: 36249478 PMCID: PMC9558854 DOI: 10.1177/20552076221129059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 09/09/2022] [Indexed: 11/05/2022] Open
Abstract
Introduction Improving effective user engagement with digital mental health tools has
become a priority in enabling the value of digital health. With increased
interest from the mental health community in embedding digital health tools
as part of care delivery, there is a need to examine and identify the
essential factors in influencing user engagement with digital mental health
tools in clinical care. The current study will use a Delphi approach to gain
consensus from individuals with relevant experience and expertise (e.g.
patients, clinicians and healthcare administrators) on factors that
influence user engagement (i.e. an essential factor). Methods Participants will be invited to complete up to four rounds of online surveys.
The first round of the Delphi study comprises of reviewing existing factors
identified in literature and commenting on whether any factors they believe
are important are missing from the list. Subsequent rounds will involve
asking participants to rate the perceived impact of each factor in
influencing user engagement with digital mental health tools in clinical
care contexts. This work is expected to consolidate the perspectives from
relevant stakeholders and the academic literature to identify a core set of
factors considered essential in influencing user engagement with digital
mental health tools in clinical care contexts.
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Affiliation(s)
- Brian Lo
- Institute of Health Policy, Management and Evaluation,
University of
Toronto, Toronto, Ontario, Canada,Campbell Family Mental Health Research Institute,
Centre for
Addiction and Mental Health, Toronto,
Ontario, Canada,Office of Education, Centre for Addiction and Mental
Health, Toronto, Ontario, Canada,Information Management Group, Centre for Addiction and Mental
Health, Toronto, Ontario, Canada,UHN Digital, University Health
Network, Toronto, Ontario, Canada,Brian Lo, Institute of Health Policy,
Management and Evaluation, 155 College Street, 4th Floor, Toronto, ON M5T 1P8,
Canada.
| | - Quynh Pham
- Institute of Health Policy, Management and Evaluation,
University of
Toronto, Toronto, Ontario, Canada,Centre for Digital Therapeutics, University Health
Network, Toronto, Ontario, Canada
| | - Sanjeev Sockalingam
- Office of Education, Centre for Addiction and Mental
Health, Toronto, Ontario, Canada,Department of Psychiatry, Temerty Faculty of Medicine,
University of
Toronto, Toronto, Ontario, Canada
| | - David Wiljer
- Institute of Health Policy, Management and Evaluation,
University of
Toronto, Toronto, Ontario, Canada,Office of Education, Centre for Addiction and Mental
Health, Toronto, Ontario, Canada,UHN Digital, University Health
Network, Toronto, Ontario, Canada,Department of Psychiatry, Temerty Faculty of Medicine,
University of
Toronto, Toronto, Ontario, Canada
| | - Gillian Strudwick
- Institute of Health Policy, Management and Evaluation,
University of
Toronto, Toronto, Ontario, Canada,Campbell Family Mental Health Research Institute,
Centre for
Addiction and Mental Health, Toronto,
Ontario, Canada,Information Management Group, Centre for Addiction and Mental
Health, Toronto, Ontario, Canada
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15
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Mauch CE, Edney SM, Viana JNM, Gondalia S, Sellak H, Boud SJ, Nixon DD, Ryan JC. Precision health in behaviour change interventions: A scoping review. Prev Med 2022; 163:107192. [PMID: 35963310 DOI: 10.1016/j.ypmed.2022.107192] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 07/24/2022] [Accepted: 08/07/2022] [Indexed: 11/09/2022]
Abstract
Precision health seeks to optimise behavioural interventions by delivering personalised support to those in need, when and where they need it. Conceptualised a decade ago, progress toward this vision of personally relevant and effective population-wide interventions continues to evolve. This scoping review aimed to map the state of precision health behaviour change intervention research. This review included studies from a broader precision health review. Six databases were searched for studies published between January 2010 and June 2020, using the terms 'precision health' or its synonyms, and including an intervention targeting modifiable health behaviour(s) that was evaluated experimentally. Thirty-one studies were included, 12 being RCTs (39%), and 17 with weak study design (55%). Most interventions targeted physical activity (27/31, 87%) and/or diet (24/31, 77%), with 74% (23/31) targeting two to four health behaviours. Interventions were personalised via human interaction in 55% (17/31) and digitally in 35% (11/31). Data used for personalising interventions was largely self-reported, by survey or diary (14/31, 45%), or digitally (14/31, 45%). Data was mostly behavioural or lifestyle (20/31, 65%), and physiologic, biochemical or clinical (15/31, 48%), with no studies utilising genetic/genomic data. This review demonstrated that precision health behaviour change interventions remain dependent on human-led, low-tech personalisation, and have not fully considered the interaction between behaviour and the social and environmental contexts of individuals. Further research is needed to understand the relationship between personalisation and intervention effectiveness, working toward the development of sophisticated and scalable behaviour change interventions that have tangible public health impact.
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Affiliation(s)
- Chelsea E Mauch
- Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Adelaide, SA, Australia.
| | - Sarah M Edney
- Physical Activity and Nutrition Determinants in Asia (PANDA) Programme, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
| | - John Noel M Viana
- Responsible Innovation Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Brisbane, QLD, Australia; Australian National Centre for the Public Awareness of Science, Australian National University, Canberra, ACT, Australia.
| | - Shakuntla Gondalia
- Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Adelaide, SA, Australia; Precision Health Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Adelaide, SA, Australia; Centre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, VC, Australia..
| | - Hamza Sellak
- Data61, Commonwealth Scientific and Industrial Research Organisation, Melbourne, VC, Australia.
| | - Sarah J Boud
- Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Dakota D Nixon
- Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Jillian C Ryan
- Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Adelaide, SA, Australia; Precision Health Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Adelaide, SA, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia.
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16
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Gerke DR, Glotfelty J, Freshman M, Schlueter J, Ochs A, Plax K. Help Is Available: Supporting Mental Wellness Through Peer Health Navigation with Young Black Men Who Have Sex with Men with HIV. AIDS Patient Care STDS 2022; 36:S54-S64. [PMID: 36178384 DOI: 10.1089/apc.2022.0089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Young black men who have sex with men (YBMSM) with HIV experience disproportionate rates of trauma, incarceration, poverty, racial discrimination, and homophobia. The synergistic effects of these adverse experiences, along with increased rates of mental health disorders, increase their risk for poor health. To address this need, the study authors adapted a current HIV service model to include a peer-health navigation intervention (WITH U) to attend to behavioral health, health literacy, linkage to services, and psychosocial support for YBMSM with HIV. This longitudinal, mixed-methods, nonexperimental study reports on the mental health burden among participants and the association between participation in WITH U and mental wellness outcomes. Participants (N = 65) were an average age of 25-26 years (mean = 25.48, standard deviation = 2.51). Over 25% of participants reported clinically significant depression and/or anxiety symptoms and nearly half the participants reported experiencing post-traumatic stress symptoms that were at least moderately difficult to handle. Quantitative analyses indicated no significant positive association between intervention engagement and mental health symptoms; however, reporting a greater number of depression symptoms was associated with attending fewer intervention sessions. Qualitative data analysis revealed that participants' mental wellness was positively impacted by participating in the intervention and that participants preferred to receive mental wellness support from peer health navigators (HNs) rather than licensed mental health professionals. Yet, peer HNs did not feel adequately prepared to address participants' mental wellness concerns. Increased training for peer HNs and development of a linkage process to more formalized mental health services with community input may strengthen mental wellness support.
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Affiliation(s)
- Donald R Gerke
- Graduate School of Social Work, University of Denver, Denver, Colorado, USA
| | - Jeff Glotfelty
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Maria Freshman
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Julia Schlueter
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Alex Ochs
- Graduate School of Social Work, University of Denver, Denver, Colorado, USA
| | - Katie Plax
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
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17
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Koutra K, Burns C, Sinko L, Kita S, Bilgin H, Arnault DS. Trauma Recovery Rubric: A Mixed-Method Analysis of Trauma Recovery Pathways in Four Countries. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10310. [PMID: 36011945 PMCID: PMC9408383 DOI: 10.3390/ijerph191610310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
Research is beginning to examine gender-based violence (GBV) survivors' recovery, but little is known about diverse recovery trajectories or their relationships with other distress and recovery variables. This interdisciplinary, international multisite mixed-method study developed and used the TRR to identify and classify survivors' trauma pathways. This study describes the phases of the initial development of the preliminary TRR (Phase 1), refines and calibrates the TRR (Phase 2), and then integrates the TRR into quantitative data from four countries (Phase 3). Seven recovery pathways with six domains emerged: normalizing, minimizing, consumed/trapped; shutdown or frozen, surviving, seeking and fighting for integration; finding integration/equanimity. Depression scores were related to most recovery domains, and TRR scores had large effect sizes. At the same time, PTSD was not statistically related to TRR scores, but TRR had a medium effect size. Our study found that the TRR can be implemented in diverse cultural settings and promises a reliable cross-cultural tool. The TRR is a survivor-centered, trauma-informed way to understand different survivorship pathways and how different pathways impact health outcomes. Overall, this rubric provides a foundation for future study on differences in survivor healing and the drivers of these differences. This tool can potentially improve survivor care delivery and our understanding of how to meet best the needs of the survivor populations we intend to serve.
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Affiliation(s)
- Kleio Koutra
- Social Work Department, Hellenic Mediterranean University, 71401 Crete, Greece
| | - Courtney Burns
- University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Laura Sinko
- Department of Nursing, Temple University College of Public Health, Philadelphia, PA 19122, USA
| | - Sachiko Kita
- Department of Family Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo 1130003, Japan
| | - Hülya Bilgin
- Mental Health and Psychiatric Nursing Department, Florence Nightingale Nursing Faculty, Istanbul University-Cerrahpasa, Istanbul 34381, Turkey
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18
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Strauss G, Flannery JE, Vierra E, Koepsell X, Berglund E, Miller I, Lake JI. Meaningful engagement: A crossfunctional framework for digital therapeutics. Front Digit Health 2022; 4:890081. [PMID: 36052316 PMCID: PMC9426459 DOI: 10.3389/fdgth.2022.890081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 07/26/2022] [Indexed: 11/17/2022] Open
Abstract
Digital mental health interventions, or digital therapeutics, have the potential to transform the field of mental health. They provide the opportunity for increased accessibility, reduced stigma, and daily integration with patient's lives. However, as the burgeoning field continues to expand, there is a growing concern regarding the level and type of engagement users have with these technologies. Unlike many traditional technology products that have optimized their user experience to maximize the amount of time users spend within the product, such engagement within a digital therapeutic is not sufficient if users are not experiencing an improvement in clinical outcomes. In fact, a primary challenge within digital therapeutics is user engagement. Digital therapeutics are only effective if users sufficiently engage with them and, we argue, only if users meaningfully engage with the product. Therefore, we propose a 4-step framework to assess meaningful engagement within digital therapeutics: (1) Define the measure of value (2) Operationalize meaningful engagement for your digital therapeutic (3) Implement solutions to increase meaningful engagement (4) Iteratively evaluate the solution's impact on meaningful engagement and clinical outcomes. We provide recommendations to the common challenges associated with each step. We specifically emphasize a cross-functional approach to assessing meaningful engagement and use an adolescent-focused example throughout to further highlight developmental considerations one should consider depending on their target users.
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19
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Collombon EHGM, Bolman CAW, Peels DA, de Bruijn GJ, de Groot RHM, Lechner L. Adding Mobile Elements to Online Physical Activity Interventions Targeted at Adults Aged 50 Years and Older: Protocol for a Systematic Design. JMIR Res Protoc 2022; 11:e31677. [PMID: 35819820 PMCID: PMC9328785 DOI: 10.2196/31677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 02/09/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Physical activity (PA) can increase mental and physical health in adults aged 50 years and older. However, it has been shown that PA guidelines are often not met within this population. Therefore, our research group developed 2 computer-tailored intervention programs in the last decade to stimulate PA: Active Plus and I Move. Although these programs were proven effective, positive effects diminished over time and attrition rates were relatively high. To respond to this, we will integrate 3 interactive mobile elements into the existing programs: activity tracker, ecological momentary intervention program, and virtual coach app. OBJECTIVE The goal of the research is to define systematic and evidence-based steps for extending our online computer-based PA intervention programs with 3 interactive mobile elements. METHODS Components often included in other (eHealth) design models were identified as key components and served as a base for the definition of systematic steps: exploration of context, involvement of the target population, prototype and intervention testing, and implementation. Based on these key components, 10 systematic steps were defined. The initial step is a literature search, with the results serving as a base for development of the low-fidelity prototypes in step 2. The pilot phase comprises the 3rd to 6th steps and includes semistructured interviews, pilot tests, and adaptations of the prototypes with intensive involvement of the target population of adults aged 50 years and older, where particular attention will be paid to lower educated persons. The 7th step is an effect evaluation in the form of a randomized controlled trial. During the 8th step, the most effective intervention programs will be selected and reinforced. These reinforced intervention programs will be used during the design of an implementation plan in the 9th step and the subsequent field study in the 10th step. RESULTS The project will be executed from December 2019 to December 2023. During this period, the systematic approach presented will be practically executed according to the methodological procedures described. CONCLUSIONS Based on the 4 identified key components, we were able to design an evidence-based systematic design approach for separately adding 3 mobile elements to our existing online PA intervention programs. The 10 steps are presented as a useful approach to guide future eHealth design studies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/31677.
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Affiliation(s)
| | | | - Denise A Peels
- Faculty of Psychology, Open Universiteit, Heerlen, Netherlands
| | - Gert-Jan de Bruijn
- Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands.,Department of Communication Science, University of Antwerp, Antwerp, Belgium
| | | | - Lilian Lechner
- Faculty of Psychology, Open Universiteit, Heerlen, Netherlands
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20
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Yeager CM, Benight CC. Engagement, Predictors, and Outcomes of a Trauma Recovery Digital Mental Health Intervention: Longitudinal Study. JMIR Ment Health 2022; 9:e35048. [PMID: 35499857 PMCID: PMC9112079 DOI: 10.2196/35048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 02/28/2022] [Accepted: 03/05/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Worldwide, exposure to potentially traumatic events is extremely common, and many individuals develop posttraumatic stress disorder (PTSD) along with other disorders. Unfortunately, considerable barriers to treatment exist. A promising approach to overcoming treatment barriers is a digital mental health intervention (DMHI). However, engagement with DMHIs is a concern, and theoretically based research in this area is sparse and often inconclusive. OBJECTIVE The focus of this study is on the complex issue of DMHI engagement. On the basis of the social cognitive theory framework, the conceptualization of engagement and a theoretically based model of predictors and outcomes were investigated using a DMHI for trauma recovery. METHODS A 6-week longitudinal study with a national sample of survivors of trauma was conducted to measure engagement, predictors of engagement, and mediational pathways to symptom reduction while using a trauma recovery DMHI (time 1: N=915; time 2: N=350; time 3: N=168; and time 4: N=101). RESULTS Confirmatory factor analysis of the engagement latent constructs of duration, frequency, interest, attention, and affect produced an acceptable model fit (χ22=8.3; P=.02; comparative fit index 0.973; root mean square error of approximation 0.059; 90% CI 0.022-0.103). Using the latent construct, the longitudinal theoretical model demonstrated adequate model fit (comparative fit index 0.929; root mean square error of approximation 0.052; 90% CI 0.040-0.064), indicating that engagement self-efficacy (β=.35; P<.001) and outcome expectations (β=.37; P<.001) were significant predictors of engagement (R2=39%). The overall indirect effect between engagement and PTSD symptom reduction was significant (β=-.065; P<.001; 90% CI -0.071 to -0.058). This relationship was serially mediated by both skill activation self-efficacy (β=.80; P<.001) and trauma coping self-efficacy (β=.40; P<.001), which predicted a reduction in PTSD symptoms (β=-.20; P=.02). CONCLUSIONS The results of this study may provide a solid foundation for formalizing the nascent science of engagement. Engagement conceptualization comprised general measures of attention, interest, affect, and use that could be applied to other applications. The longitudinal research model supported 2 theoretically based predictors of engagement: engagement self-efficacy and outcome expectancies. A total of 2 task-specific self-efficacies-skill activation and trauma coping-proved to be significant mediators between engagement and symptom reduction. Taken together, this model can be applied to other DMHIs to understand engagement, as well as predictors and mechanisms of action. Ultimately, this could help improve the design and development of engaging and effective trauma recovery DMHIs.
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Affiliation(s)
- Carolyn M Yeager
- Lyda Hill Institute for Human Resilience, University of Colorado Colorado Springs, Colorado Springs, CO, United States
| | - Charles C Benight
- Lyda Hill Institute for Human Resilience, University of Colorado Colorado Springs, Colorado Springs, CO, United States
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21
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Venegas MD, Brooks JM, Myers AL, Storm M, Fortuna KL. Peer Support Specialists and Service Users' Perspectives on Privacy, Confidentiality, and Security of Digital Mental Health. IEEE PERVASIVE COMPUTING 2022; 21:41-50. [PMID: 35814864 PMCID: PMC9267391 DOI: 10.1109/mprv.2022.3141986] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
As the digitalization of mental health systems progresses, the ethical and social debate on the use of these mental health technologies has seldom been explored among end-users. This article explores how service users (e.g., patients and users of mental health services) and peer support specialists understand and perceive issues of privacy, confidentiality, and security of digital mental health interventions. Semi-structured qualitative interviews were conducted among service users (n = 17) and peer support specialists (n = 15) from a convenience sample at an urban community mental health center in the United States. We identified technology ownership and use, lack of technology literacy including limited understanding of privacy, confidentiality, and security as the main barriers to engagement among service users. Peers demonstrated a high level of technology engagement, literacy of digital mental health tools, and a more comprehensive awareness of digital mental health ethics. We recommend peer support specialists as a potential resource to facilitate the ethical engagement of digital mental health interventions for service users. Finally, engaging potential end-users in the development cycle of digital mental health support platforms and increased privacy regulations may lead the field to a better understanding of effective uses of technology for people with mental health conditions. This study contributes to the ongoing debate of digital mental health ethics, data justice, and digital mental health by providing a first-hand experience of digital ethics from end-users' perspectives.
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Affiliation(s)
- Maria D Venegas
- Department of Veterans Affairs GRECC, Bedford, VA, 01730, USA
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22
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Milne-Ives M, Homer S, Andrade J, Meinert E. Associations Between Behavior Change Techniques and Engagement With Mobile Health Apps: Protocol for a Systematic Review. JMIR Res Protoc 2022; 11:e35172. [PMID: 35348460 PMCID: PMC9006128 DOI: 10.2196/35172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 12/16/2021] [Accepted: 12/18/2021] [Indexed: 11/13/2022] Open
Abstract
Background Digitally enabled care along with an emphasis on self-management of health is steadily growing. Mobile health apps provide a promising means of supporting health behavior change; however, engagement with them is often poor and evidence of their impact on health outcomes is lacking. As engagement is a key prerequisite to health behavior change, it is essential to understand how engagement with mobile health apps and their target health behaviors can be better supported. Although the importance of engagement is emphasized strongly in the literature, the understanding of how different components of engagement are associated with specific techniques that aim to change behaviors is lacking. Objective The purpose of this systematic review protocol is to provide a synthesis of the associations between various behavior change techniques (BCTs) and the different components and measures of engagement with mobile health apps. Methods The review protocol was structured using the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) and the PICOS (Population, Intervention, Comparator, Outcome, and Study type) frameworks. The following seven databases will be systematically searched: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, APA PsycInfo, ScienceDirect, Cochrane Library, and Web of Science. Title and abstract screening, full-text review, and data extraction will be conducted by 2 independent reviewers. Data will be extracted into a predetermined form, any disagreements in screening or data extraction will be discussed, and a third reviewer will be consulted if consensus cannot be reached. Risk of bias will be assessed using the Cochrane Collaboration Risk of Bias 2 and the Risk Of Bias In Non-Randomized Studies - of Interventions (ROBINS-I) tools; descriptive and thematic analyses will be conducted to summarize the relationships between BCTs and the different components of engagement. Results The systematic review has not yet started. It is expected to be completed and submitted for publication by May 2022. Conclusions This systematic review will summarize the associations between different BCTs and various components and measures of engagement with mobile health apps. This will help identify areas where further research is needed to examine BCTs that could potentially support effective engagement and help inform the design and evaluation of future mobile health apps. Trial Registration PROSPERO CRD42022312596; https://tinyurl.com/nhzp8223 International Registered Report Identifier (IRRID) PRR1-10.2196/35172
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Affiliation(s)
- Madison Milne-Ives
- Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom
| | - Sophie Homer
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, United Kingdom
| | - Jackie Andrade
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, United Kingdom
| | - Edward Meinert
- Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom.,Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.,Harvard T H Chan School of Public Health, Harvard University, Boston, MA, United States
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23
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Cao W, Milks MW, Liu X, Gregory ME, Addison D, Zhang P, Li L. mHealth Interventions for Self-management of Hypertension: Framework and Systematic Review on Engagement, Interactivity, and Tailoring. JMIR Mhealth Uhealth 2022; 10:e29415. [PMID: 35234655 PMCID: PMC8928043 DOI: 10.2196/29415] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/01/2021] [Accepted: 12/15/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Engagement is essential for the effectiveness of digital behavior change interventions. Existing systematic reviews examining hypertension self-management interventions via mobile apps have primarily focused on intervention efficacy and app usability. Engagement in the prevention or management of hypertension is largely unknown. OBJECTIVE This systematic review explores the definition and role of engagement in hypertension-focused mobile health (mHealth) interventions, as well as how determinants of engagement (ie, tailoring and interactivity) have been implemented. METHODS A systematic review of mobile app interventions for hypertension self-management targeting adults, published from 2013 to 2020, was conducted. A total of 21 studies were included in this systematic review. RESULTS The engagement was defined or operationalized as a microlevel concept, operationalized as interaction with the interventions (ie, frequency of engagement, time or duration of engagement with the program, and intensity of engagement). For all 3 studies that tested the relationship, increased engagement was associated with better biomedical outcomes (eg, blood pressure change). Interactivity was limited in digital behavior change interventions, as only 7 studies provided 2-way communication between users and a health care professional, and 9 studies provided 1-way communication in possible critical conditions; that is, when abnormal blood pressure values were recorded, users or health care professionals were notified. The tailoring of interventions varied at different aspects, from the tailoring of intervention content (including goals, patient education, advice and feedback from health professionals, reminders, and motivational messages) to the tailoring of intervention dose and communication mode. Tailoring was carried out in a number of ways, considering patient characteristics such as goals, preferences, disease characteristics (eg, hypertension stage and medication list), disease self-management experience levels, medication adherence rate, and values and beliefs. CONCLUSIONS Available studies support the importance of engagement in intervention effectiveness as well as the essential roles of patient factors in tailoring, interactivity, and engagement. A patient-centered engagement framework for hypertension self-management using mHealth technology is proposed here, with the intent of facilitating intervention design and disease self-management using mHealth technology.
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Affiliation(s)
- Weidan Cao
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
| | - M Wesley Milks
- Division of Cardiovascular Medicine, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Xiaofu Liu
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
| | - Megan E Gregory
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
- The Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), The Ohio State University College of Medicine, Columbus, OH, United States
| | - Daniel Addison
- Division of Cardiovascular Medicine, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Ping Zhang
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
| | - Lang Li
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
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Stress, PTSD, and COVID-19: the Utility of Disaster Mental Health Interventions During the COVID-19 Pandemic. CURRENT TREATMENT OPTIONS IN PSYCHIATRY 2022; 9:14-40. [PMID: 35223372 PMCID: PMC8860255 DOI: 10.1007/s40501-021-00253-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 10/06/2021] [Indexed: 02/08/2023]
Abstract
Purpose of review In the context of an ongoing, highly uncertain pandemic, disaster mental health measures can increase community capacity for resilience and well-being, support formal mental health treatment, and help address the risk for mental health reactions in high-stress occupations. The purpose of this review is to summarize the literature on disaster mental health interventions that have been helpful both prior to and during the pandemic in a broad range of applications, including for use with high-stress occupations in an effort to mitigate risk for post-traumatic stress disorder (PTSD) and other mental health sequelae. Recent findings Evidence-based and evidence-informed disaster mental health interventions, frameworks, and treatments have been studied in pilot studies, non-randomized trials, and randomized clinical trials prior to and in the context of the current COVID-19 pandemic. The studies have demonstrated feasibility and acceptability of these modalities and improved perceived support, as well as significant reductions in distress, and mental health symptoms such as depression, anxiety, and PTSD. Summary A disaster mental health approach to the COVID-19 pandemic can generate opportunities for prevention and support at multiple levels with timely interventions tailored for different concerns, cultures, and available resources.
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25
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Responsiveness to mHealth Intervention for Cannabis Use in Young Adults Predicts Improved Outcomes. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2022; 23:630-635. [PMID: 35080713 DOI: 10.1007/s11121-022-01333-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2022] [Indexed: 10/19/2022]
Abstract
Mobile health (mHealth) interventions have proliferated rapidly in part because of their advantages in reducing consumer and provider burden, but less attention has been paid to participant responsiveness to mHealth programs and how this may affect outcomes. This study adds to that literature by examining whether participant responsiveness to a text messaging-delivered intervention was predictive of treatment outcomes over baseline levels of the outcome. We analyzed data from a pilot-randomized controlled trial of a text messaging-intervention to treat young adults with cannabis use disorder (treatment arm, N = 47), examining three indicators of responsiveness (two behavioral: treatment completion and booster message participation; and one subjective: perceived helpfulness of treatment) on abstinence from cannabis use and use-related problems measured at 3-month follow-up. With the exception of completion, the indicators were positively correlated with each other. Each of the indicators was predictive of better treatment outcomes above and beyond baseline risk. Treatment completion and booster participation-measured via technical data captured during intervention administration-appeared to be stronger predictors of improved outcomes than self-reported perceived helpfulness. Results suggest that behavioral and subjective responsiveness measures appear to be valid indicators of treatment response to mHealth interventions for substance use. Responsiveness measured via technical data captured during intervention administration may be a stronger and more efficient strategy for monitoring continued engagement. We discuss implications of these findings for deploying mHealth interventions at scale and monitoring responsiveness.
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26
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Nelson LA, Spieker AJ, Mayberry LS, McNaughton C, Greevy RA. Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials. J Am Med Inform Assoc 2021; 29:128-136. [PMID: 34963143 PMCID: PMC8714267 DOI: 10.1093/jamia/ocab254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/18/2021] [Accepted: 11/01/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Guidance is needed on studying engagement and treatment effects in digital health interventions, including levels required for benefit. We evaluated multiple analytic approaches for understanding the association between engagement and clinical outcomes. MATERIALS AND METHODS We defined engagement as intervention participants' response rate to interactive text messages, and considered moderation, standard regression, mediation, and a modified instrumental variable (IV) analysis to investigate the relationship between engagement and clinical outcomes. We applied each approach to two randomized controlled trials featuring text message content in the intervention: REACH (Rapid Encouragement/Education and Communications for Health), which targeted diabetes, and VERB (Vanderbilt Emergency Room Bundle), which targeted hypertension. RESULTS In REACH, the treatment effect on hemoglobin A1c was estimated to be -0.73% (95% CI: [-1.29, -0.21]; P = 0.008), and in VERB, the treatment effect on systolic blood pressure was estimated to be -10.1 mmHg (95% CI: [-17.7, -2.8]; P = 0.007). Only the IV analyses suggested an effect of engagement on outcomes; the difference in treatment effects between engagers and non-engagers was -0.29% to -0.51% in the REACH study and -1.08 to -3.25 mmHg in the VERB study. DISCUSSION Standard regression and mediation have less power than a modified IV analysis, but the IV approach requires specification of assumptions. This is the first review of the strengths and limitations of various approaches to evaluating the impact of engagement on outcomes. CONCLUSIONS Understanding the role of engagement in digital health interventions can help reveal when and how these interventions achieve desired outcomes.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Center for Diabetes Translation Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Candace McNaughton
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Geriatric Research Education Clinical Center, Tennessee Valley Healthcare System VA Medical Center, Nashville, Tennessee, USA
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
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27
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Newton AS, March S, Gehring ND, Rowe AK, Radomski AD. Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review. J Med Internet Res 2021; 23:e25012. [PMID: 34860671 PMCID: PMC8686463 DOI: 10.2196/25012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 03/27/2021] [Accepted: 09/23/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Across eHealth intervention studies involving children, adolescents, and their parents, researchers have measured user experience to assist with intervention development, refinement, and evaluation. To date, no widely accepted definitions or measures of user experience exist to support a standardized approach for evaluation and comparison within or across interventions. OBJECTIVE We conduct a scoping review with subsequent Delphi consultation to identify how user experience is defined and measured in eHealth research studies, characterize the measurement tools used, and establish working definitions for domains of user experience that could be used in future eHealth evaluations. METHODS We systematically searched electronic databases for published and gray literature available from January 1, 2005, to April 11, 2019. We included studies assessing an eHealth intervention that targeted any health condition and was designed for use by children, adolescents, and their parents. eHealth interventions needed to be web-, computer-, or mobile-based, mediated by the internet with some degree of interactivity. We required studies to report the measurement of user experience as first-person experiences, involving cognitive and behavioral factors reported by intervention users. We appraised the quality of user experience measures in included studies using published criteria: well-established, approaching well-established, promising, or not yet established. We conducted a descriptive analysis of how user experience was defined and measured in each study. Review findings subsequently informed the survey questions used in the Delphi consultations with eHealth researchers and adolescent users for how user experience should be defined and measured. RESULTS Of the 8634 articles screened for eligibility, 129 articles and 1 erratum were included in the review. A total of 30 eHealth researchers and 27 adolescents participated in the Delphi consultations. On the basis of the literature and consultations, we proposed working definitions for 6 main user experience domains: acceptability, satisfaction, credibility, usability, user-reported adherence, and perceived impact. Although most studies incorporated a study-specific measure, we identified 10 well-established measures to quantify 5 of the 6 domains of user experience (all except for self-reported adherence). Our adolescent and researcher participants ranked perceived impact as one of the most important domains of user experience and usability as one of the least important domains. Rankings between adolescents and researchers diverged for other domains. CONCLUSIONS Findings highlight the various ways in which user experience has been defined and measured across studies and what aspects are most valued by researchers and adolescent users. We propose incorporating the working definitions and available measures of user experience to support consistent evaluation and reporting of outcomes across studies. Future studies can refine the definitions and measurement of user experience, explore how user experience relates to other eHealth outcomes, and inform the design and use of human-centered eHealth interventions.
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Affiliation(s)
- Amanda S Newton
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Sonja March
- School of Psychology and Counselling, Centre for Health Research, University of Southern Queensland, Springfield Central, Australia
| | - Nicole D Gehring
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Arlen K Rowe
- School of Psychology and Counselling, Centre for Health Research, University of Southern Queensland, Springfield Central, Australia
| | - Ashley D Radomski
- Knowledge Institute for Child and Youth Mental Health and Addictions, Ottawa, ON, Canada.,CHEO (Children's Hospital of Eastern Ontario) Research Institute, Ottawa, ON, Canada
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28
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Gruichich TS, Gomez JCD, Zayas-Cabán G, McInnis MG, Cochran AL. A digital self-report survey of mood for bipolar disorder. Bipolar Disord 2021; 23:810-820. [PMID: 33587813 PMCID: PMC8364560 DOI: 10.1111/bdi.13058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 11/13/2020] [Accepted: 02/02/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Bipolar disorder (BP) is commonly researched in digital settings. As a result, standardized digital tools are needed to measure mood. We sought to validate a new survey that is brief, validated in digital form, and able to separately measure manic and depressive severity. METHODS We introduce a 6-item digital survey, called digiBP, for measuring mood in BP. It has three depressive items (depressed mood, fidgeting, fatigue), two manic items (increased energy, rapid speech), and one mixed item (irritability); and recovers two scores (m and d) to measure manic and depressive severity. In a secondary analysis of individuals with BP who monitored their symptoms over 6 weeks (n = 43), we perform a series of analyses to validate the digiBP survey internally, externally, and as a longitudinal measure. RESULTS We first verify a conceptual model for the survey in which items load onto two factors ("manic" and "depressive"). We then show weekly averages of m and d scores from digiBP can explain significant variation in weekly scores from the Young Mania Rating Scale (R2 = 0.47) and SIGH-D (R2 = 0.58). Lastly, we examine the utility of the survey as a longitudinal measure by predicting an individual's future m and d scores from their past m and d scores. CONCLUSIONS While further validation is warranted in larger, diverse populations, these validation analyses should encourage researchers to consider digiBP for their next digital study of BP.
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Silva CV, Horsham C, Kou K, Baade P, Soyer HP, Janda M. Factors influencing participants' engagement with an interactive text-message intervention to improve sun protection behaviors: "SunText" randomized controlled trial. Transl Behav Med 2021; 12:433-447. [PMID: 34747997 DOI: 10.1093/tbm/ibab135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
There is growing evidence suggesting that text-message-based interventions are effective to promote sun protection behaviors. However, it is still unclear how engagement and adherence with the intervention messages can be optimized through intervention design. This study evaluated the effect of different combinations of personalized and two-way interactive messages on participant engagement with a theory-based skin cancer prevention intervention. In the SunText study conducted in February-July 2019 in Queensland, Australia participants 18-40 years were randomized to four different text message schedules using a Latin square design. This study analyzed if the order and intensity in which the schedules were received were associated with participants' level of engagement, and if this differed by demographic factors. Out of the 389 participants enrolled in the study, 375 completed the intervention period and remained for analysis. The overall intervention engagement rate was 71% and decreased from the beginning to the end of the study (82.2%-61.4%). The group starting with personalized, but not interactive messaging showed the lowest engagement rate. The intervention involving interactive messages three times a week for 4 weeks achieved the highest engagement rate. The intervention with increasing frequency (personalized and interactive three times a week for 2 weeks; then daily for 2 weeks) had lower engagement than intervention with constant or decreasing frequency. Engagement with two-way interactive messages was high across all intervention groups. Results suggest enhanced engagement with constant or decreasing message frequency compared to increasing frequency.
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Affiliation(s)
- Carina V Silva
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Caitlin Horsham
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Kou Kou
- Cancer Council Queensland, Brisbane, Australia
| | - Peter Baade
- Cancer Council Queensland, Brisbane, Australia
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia.,Department of Dermatology, Princess Alexandra Hospital, Brisbane, Australia
| | - Monika Janda
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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30
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Boustani M, Lunn S, Visser U, Lisetti C. Development, Feasibility, Acceptability, and Utility of an Expressive Speech-Enabled Digital Health Agent to Deliver Online, Brief Motivational Interviewing for Alcohol Misuse: Descriptive Study. J Med Internet Res 2021; 23:e25837. [PMID: 34586074 PMCID: PMC8515230 DOI: 10.2196/25837] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 05/26/2021] [Accepted: 05/29/2021] [Indexed: 01/27/2023] Open
Abstract
Background Digital health agents — embodied conversational agents designed specifically for health interventions — provide a promising alternative or supplement to behavioral health services by reducing barriers to access to care. Objective Our goals were to (1) develop an expressive, speech-enabled digital health agent operating in a 3-dimensional virtual environment to deliver a brief behavioral health intervention over the internet to reduce alcohol use and to (2) understand its acceptability, feasibility, and utility with its end users. Methods We developed an expressive, speech-enabled digital health agent with facial expressions and body gestures operating in a 3-dimensional virtual office and able to deliver a brief behavioral health intervention over the internet to reduce alcohol use. We then asked 51 alcohol users to report on the digital health agent acceptability, feasibility, and utility. Results The developed digital health agent uses speech recognition and a model of empathetic verbal and nonverbal behaviors to engage the user, and its performance enabled it to successfully deliver a brief behavioral health intervention over the internet to reduce alcohol use. Descriptive statistics indicated that participants had overwhelmingly positive experiences with the digital health agent, including engagement with the technology, acceptance, perceived utility, and intent to use the technology. Illustrative qualitative quotes provided further insight about the potential reach and impact of digital health agents in behavioral health care. Conclusions Web-delivered interventions delivered by expressive, speech-enabled digital health agents may provide an exciting complement or alternative to traditional one-on-one treatment. They may be especially helpful for hard-to-reach communities with behavioral workforce shortages.
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Affiliation(s)
- Maya Boustani
- Department of Psychology, Loma Linda University, Loma Linda, CA, United States
| | - Stephanie Lunn
- Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, United States
| | - Ubbo Visser
- Department of Computer Science, University of Miami, Miami, FL, United States
| | - Christine Lisetti
- Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, United States
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Bickman L. Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2021; 47:795-843. [PMID: 32715427 PMCID: PMC7382706 DOI: 10.1007/s10488-020-01065-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This conceptual paper describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving mental health services. Toward that end, I draw upon my own research, which has changed over the last half century, to highlight the need to transform the way we conduct mental health services research. I identify exemplars from the emerging literature on artificial intelligence and precision approaches to treatment in which there is an attempt to personalize or fit the treatment to the client in order to produce more effective interventions.
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Affiliation(s)
- Leonard Bickman
- Center for Children and Families; Psychology, Academic Health Center 1, Florida International University, 11200 Southwest 8th Street, Room 140, Miami, FL, 33199, USA.
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32
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Sanatkar S, Heinsch M, Baldwin PA, Rubin M, Geddes J, Hunt S, Baker AL, Woodcock K, Lewin TJ, Brady K, Deady M, Thornton L, Teesson M, Kay-Lambkin F. Factors Predicting Trial Engagement, Treatment Satisfaction, and Health-Related Quality of Life During a Web-Based Treatment and Social Networking Trial for Binge Drinking and Depression in Young Adults: Secondary Analysis of a Randomized Controlled Trial. JMIR Ment Health 2021; 8:e23986. [PMID: 34096873 PMCID: PMC8218207 DOI: 10.2196/23986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 01/10/2021] [Accepted: 04/17/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Mental health and alcohol use problems are among the most common causes of disease burden in young Australians, frequently co-occur (comorbidity), and lead to significant lifetime burden. However, comorbidities remain significantly underdetected and undertreated in health settings. Digital mental health tools designed to identify at-risk individuals, encourage help-seeking, or deliver treatment for comorbidity have the potential to address this service gap. However, despite a strong body of evidence that digital mental health programs provide an effective treatment option for a range of mental health and alcohol use problems in young adults, research shows that uptake rates can be low. Thus, it is important to understand the factors that influence treatment satisfaction and quality-of-life outcomes for young adults who access e-mental health interventions for comorbidity. OBJECTIVE In this study, we seek to understand the factors that influence treatment satisfaction and quality-of-life outcomes for young adults who access e-mental health interventions for comorbid alcohol and mood disorders. The aim is to determine the importance of personality (ie, Big Five personality traits and intervention attitudes), affective factors (ie, depression, anxiety, and stress levels), and baseline alcohol consumption in predicting intervention trial engagement at sign-up, satisfaction with the online tool, and quality of life at the end of the iTreAD (Internet Treatment for Alcohol and Depression) trial. METHODS Australian adults (N=411) aged between 18 and 30 years who screened positive for depression and alcohol use problems signed up for the iTreAD project between August 2014 and October 2015. During registration, participants provided information about their personality, current affective state, alcohol use, treatment expectations, and basic demographic information. Subsequent follow-up surveys were used to gauge the ongoing trial engagement. The last follow-up questionnaire, completed at 64 weeks, assessed participants' satisfaction with web-based treatment and quality-of-life outcomes. RESULTS Multiple linear regression analyses were used to assess the relative influence of predictor variables on trial engagement, treatment satisfaction, and quality-of-life outcomes. The analyses revealed that the overall predictive effects of personality and affective factors were 20% or lower. Neuroticism constituted a unique predictor of engagement with the iTreAD study in that neuroticism facilitated the return of web-based self-assessments during the study. The return of incentivized follow-up assessments predicted treatment satisfaction, and state-based depression predicted variance in quality-of-life reports at study completion. CONCLUSIONS Our findings suggest that traditional predictors of engagement observed in face-to-face research may not be easily transferable to digital health interventions, particularly those aimed at comorbid mental health concerns and alcohol misuse among young adults. More research is needed to identify what determines engagement in this population to optimally design and execute digital intervention studies with multiple treatment aims. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ACTRN): 12614000310662; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=365137&isReview=true. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1186/s12889-015-2365-2.
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Affiliation(s)
- Samineh Sanatkar
- Centre for Brain and Mental Health Research, School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia.,The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Camperdown, Australia
| | - Milena Heinsch
- Centre for Brain and Mental Health Research, School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | | | - Mark Rubin
- School of Psychology, The University of Newcastle, Callaghan, Australia
| | - Jenny Geddes
- Centre for Brain and Mental Health Research, School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Sally Hunt
- Centre for Brain and Mental Health Research, School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia.,School of Psychology, The University of Newcastle, Callaghan, Australia
| | - Amanda L Baker
- Centre for Brain and Mental Health Research, School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | | | - Terry J Lewin
- Centre for Brain and Mental Health Research, School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Kathleen Brady
- Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Mark Deady
- Black Dog Institute, UNSW Sydney, Randwick, Australia
| | - Louise Thornton
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Camperdown, Australia
| | - Maree Teesson
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Camperdown, Australia
| | - Frances Kay-Lambkin
- Centre for Brain and Mental Health Research, School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia.,The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Camperdown, Australia
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Singh L, Kanstrup M, Depa K, Falk AC, Lindström V, Dahl O, Göransson KE, Rudman A, Holmes EA. Digitalizing a Brief Intervention to Reduce Intrusive Memories of Psychological Trauma for Health Care Staff Working During COVID-19: Exploratory Pilot Study With Nurses. JMIR Form Res 2021; 5:e27473. [PMID: 33886490 PMCID: PMC8158532 DOI: 10.2196/27473] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/01/2021] [Accepted: 03/17/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has accelerated the worldwide need for simple remotely delivered (digital) scalable interventions that can also be used preventatively to protect the mental health of health care staff exposed to psychologically traumatic events during their COVID-19-related work. We have developed a brief behavioral intervention that aims to reduce the number of intrusive memories of traumatic events but has only been delivered face-to-face so far. After digitalizing the intervention materials, the intervention was delivered digitally to target users (health care staff) for the first time. The adaption for staff's working context in a hospital setting used a co-design approach. OBJECTIVE The aims of this mixed method exploratory pilot study with health care staff who experienced working in the pandemic were to pilot the intervention that we have digitalized (for remote delivery and with remote support) and adapted for this target population (health care staff working clinically during a pandemic) to explore its ability to reduce the number of intrusive memories of traumatic events and improve related symptoms (eg, posttraumatic stress) and participant's perception of their functioning, and to explore the feasibility and acceptability of both the digitalized intervention and digitalized data collection. METHODS We worked closely with target users with lived experience of working clinically during the COVID-19 pandemic in a hospital context (registered nurses who experienced intrusive memories from traumatic events at work; N=3). We used a mixed method design and exploratory quantitative and qualitative analysis. RESULTS After completing the digitalized intervention once with remote researcher support (approximately 25 minutes) and a brief follow-up check-in, participants learned to use the intervention independently. All 3 participants reported zero intrusive memories during week 5 (primary outcome: 100% digital data capture). Prior to study inclusion, two or more intrusions in the week were reported preintervention (assessed retrospectively). There was a general pattern of symptom reduction and improvement in perceived functioning (eg, concentration) at follow-up. The digitalized intervention and data collection were perceived as feasible and rated as acceptable (eg, all 3 participants would recommend it to a colleague). Participants were positive toward the digital intervention as a useful tool that could readily be incorporated into work life and repeated in the face of ongoing or repeated trauma exposure. CONCLUSIONS The intervention when delivered remotely and adapted for this population during the pandemic was well received by participants. Since it could be tailored around work and daily life and used preventatively, the intervention may hold promise for health care staff pending future evaluations of efficacy. Limitations include the small sample size, lack of daily intrusion frequency data in the week before the intervention, and lack of a control condition. Following this co-design process in adapting and improving intervention delivery and evaluation, the next step is to investigate the efficacy of the digitalized intervention in a randomized controlled trial.
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Affiliation(s)
- Laura Singh
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Swedish Collegium for Advanced Study, Uppsala, Sweden
| | - Marie Kanstrup
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Functional Area Medical Psychology, Karolinska University Hospital, Stockholm, Sweden
| | - Katherine Depa
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ann-Charlotte Falk
- Department for Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
| | - Veronica Lindström
- Department for Health Promoting Science, Sophiahemmet University, Stockholm, Sweden.,Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Samariten Ambulance, Stockholm, Sweden
| | - Oili Dahl
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
| | - Katarina E Göransson
- Emergency and Reparative Medicine Theme, Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Ann Rudman
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,School of Education, Health and Social Studies, Dalarna University, Falun, Sweden
| | - Emily A Holmes
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Ernala SK, Kashiparekh KH, Bolous A, Ali A, Birnbaum ML, DE Choudhury M. A Social Media Study on Mental Health Status Transitions Surrounding Psychiatric Hospitalizations. PROCEEDINGS OF THE ACM ON HUMAN-COMPUTER INTERACTION 2021; 5:155. [PMID: 36267476 PMCID: PMC9581345 DOI: 10.1145/3449229] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
For people diagnosed with a mental illness, psychiatric hospitalization is one step in a long journey, consisting of clinical recovery such as removal of symptoms, and social reintegration involving resuming social roles and responsibilities, overcoming stigma and self-maintenance of the condition. Both clinical recovery and social reintegration need to go hand-in-hand for the overall well-being of individuals. However, research exploring social media for mental health has considered narrower, disjoint conceptualizations of people with mental illness - either as a patient or as a support-seeker. In this paper, we combine medical records with social media data of 254 consented individuals who have experienced a psychiatric hospitalization to address this gap. Adopting a theory-driven, Gaussian Mixture modeling approach, we provide a taxonomy of six heterogeneous behavioral patterns characterizing peoples' mental health status transitions around hospitalizations. Then we present an empirically derived framework, based on feedback from clinical researchers, to understand peoples' trajectories around clinical recovery and social reintegration. Finally, to demonstrate the utility of this taxonomy and the empirical framework, we assess social media signals that are indicative of individuals' reintegration trajectories post-hospitalization. We discuss the implications of combining peoples' clinical and social experiences in mental health care and the opportunities this intersection presents to post-discharge support and technology-based interventions for mental health.
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Affiliation(s)
| | | | | | - Asra Ali
- Zucker Hillside Hospital, Psychiatry Research, USA
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35
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Čuš A, Edbrooke-Childs J, Ohmann S, Plener PL, Akkaya-Kalayci T. "Smartphone Apps Are Cool, But Do They Help Me?": A Qualitative Interview Study of Adolescents' Perspectives on Using Smartphone Interventions to Manage Nonsuicidal Self-Injury. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:3289. [PMID: 33810106 PMCID: PMC8004854 DOI: 10.3390/ijerph18063289] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/12/2021] [Accepted: 03/18/2021] [Indexed: 01/05/2023]
Abstract
Nonsuicidal self-injury (NSSI) is a major mental health problem associated with negative psychosocial outcomes and it most often starts in early adolescence. Despite this, adolescents are rarely involved in informing the development of interventions designed to address their mental health problems. This study aimed to (1) assess adolescents' needs and preferences about future interventions that are delivered through smartphones and (2) develop a framework with implications for designing engaging digital mental health interventions. Fifteen adolescent girls, aged 12-18 years, who met diagnostic criteria for a current NSSI disorder and were in contact with mental health services, participated in semi-structured interviews. Following a reflexive thematic analysis approach, this study identified two main themes: (1) Experiences of NSSI (depicts the needs of young people related to their everyday experiences of managing NSSI) and (2) App in Context (portrays preferences of young people about smartphone interventions and reflects adolescents' views on how technology itself can improve or hinder engaging with these interventions). Adolescent patients expressed interest in using smartphone mental health interventions if they recognize them as helpful, relevant for their life situation and easy to use. The developed framework suggests that digital mental health interventions are embedded in three contexts (i.e., person using the intervention, mental health condition, and technology-related factors) which together need to inform the development of engaging digital resources. To achieve this, the cooperation among people with lived experience, mental health experts, and human computer interaction professionals is vital.
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Affiliation(s)
- Anja Čuš
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; (A.Č.); (S.O.); (P.L.P.)
| | - Julian Edbrooke-Childs
- Evidence-Based Practice Unit, University College London, London WC1E 6BT, UK;
- Anna Freud National Centre for Children and Families, London N1 9JH, UK
| | - Susanne Ohmann
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; (A.Č.); (S.O.); (P.L.P.)
| | - Paul L. Plener
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; (A.Č.); (S.O.); (P.L.P.)
- Department of Child and Adolescent Psychiatry and Psychotherapy, Ulm University, 89081 Ulm, Germany
| | - Türkan Akkaya-Kalayci
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; (A.Č.); (S.O.); (P.L.P.)
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36
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Bianco CL, Myers AL, Smagula S, Fortuna KL. Can Smartphone Apps Assist People with Serious Mental Illness in Taking Medications as Prescribed? Sleep Med Clin 2021; 16:213-222. [PMID: 33485529 PMCID: PMC8034491 DOI: 10.1016/j.jsmc.2020.10.010] [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] [Indexed: 11/30/2022]
Abstract
Adherence research commonly happens in a silo, focused on a particular disease state or type of therapy. Learning from outside disciplines can bring new insights and ideas. This article presents adherence research as related to people with a diagnosis of a serious mental illness (SMI) and medication adherence through smartphone applications (apps). Individuals with SMI have high rates of not taking medication, increasing risks of relapse and hospitalization. Advances in technology may be advantageous in promoting taking medication. Smartphones apps have been designed for people with SMI. Further research is needed to evaluate their efficacy on improving rates of taking medication.
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Affiliation(s)
- Cynthia L Bianco
- Department of Psychiatry Research, Dartmouth-Hitchcock, 2 Pillsbury Street, Suite 401, Concord, NH 03301, USA
| | - Amanda L Myers
- Department of Public Health, Rivier University, Nashua, NH, USA
| | - Stephen Smagula
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Room E-1120, Pittsburgh, PA 15213, USA
| | - Karen L Fortuna
- Department of Psychiatry, Dartmouth College, 2 Pillsbury Street, Suite 401, Concord, NH 03301, USA.
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37
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Gamble B, Depa K, Holmes EA, Kanstrup M. Digitalizing a Brief Intervention to Reduce Intrusive Memories of Psychological Trauma: Qualitative Interview Study. JMIR Ment Health 2021; 8:e23712. [PMID: 33616540 PMCID: PMC7939943 DOI: 10.2196/23712] [Citation(s) in RCA: 8] [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: 08/20/2020] [Revised: 12/01/2020] [Accepted: 12/19/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has escalated the global need for remotely delivered and scalable interventions after psychological trauma. A brief intervention involving a computer game as an imagery-competing task has shown promising results for reducing the number of intrusive memories of trauma-one of the core clinical symptoms of posttraumatic stress disorder. To date, the intervention has only been delivered face-to-face. To be tested and implemented on a wider scale, digital adaptation for remote delivery is crucial. An important first step is to develop digitalized intervention materials in a systematic way based on feedback from clinicians, researchers, and students in preparation for pilot testing with target users. OBJECTIVE The first aim of this study is to obtain and analyze qualitative feedback on digital intervention materials, namely two animated videos and two quizzes that explain the target clinical symptoms and provide intervention instructions. The second aim is to refine the digitalized materials based on this feedback. METHODS We conducted semistructured interviews with 12 participants who had delivered or had knowledge of the intervention when delivered face-to-face. We obtained in-depth feedback on the perceived feasibility of using the digitalized materials and suggestions for improvements. Interviews were assessed using qualitative content analysis, and suggested improvements were evaluated for implementation using a systematic method of prioritization. RESULTS A total of three overarching themes were identified from the data. First, participants were highly positive about the potential benefits of using these digital materials for remote delivery, reporting that the videos effectively conveyed key concepts of the symptom and its treatment. Second, some modifications to the materials were suggested for improving clarity. On the basis of this feedback, we made nine specific changes. Finally, participants raised some key challenges for remote delivery, mainly in overcoming the lack of real-time communication during the intervention. CONCLUSIONS Clinicians, researchers, and clinical psychology students were overall confident in the use of digitalized materials to remotely deliver a brief intervention to reduce intrusive memories of trauma. Guided by participant feedback, we identified and implemented changes to refine the intervention materials. This study lays the groundwork for the next step: pilot testing remote delivery of the full intervention to trauma survivors.
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Affiliation(s)
- Beau Gamble
- Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Katherine Depa
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Emily A Holmes
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Marie Kanstrup
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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38
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Wickström H, Tuvesson H, Öien R, Midlöv P, Fagerström C. Health Care Staff's Experiences of Engagement When Introducing a Digital Decision Support System for Wound Management: Qualitative Study. JMIR Hum Factors 2020; 7:e23188. [PMID: 33295295 PMCID: PMC7758170 DOI: 10.2196/23188] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 10/29/2020] [Accepted: 11/14/2020] [Indexed: 01/12/2023] Open
Abstract
Background eHealth solutions such as digital decision support systems (DDSSs) have the potential to assist collaboration between health care staff to improve matters for specific patient groups. Patients with hard-to-heal ulcers have long healing times because of a lack of guidelines for structured diagnosis, treatment, and follow-up. Multidisciplinary collaboration in wound management teams is essential. A DDSS could offer a way of aiding improvement within wound management. The introduction of eHealth solutions into health care is complicated, and the engagement of the staff seems crucial. Factors influencing and affecting engagement need to be understood and considered for the introduction of a DDSS to succeed. Objective This study aims to describe health care staff’s experiences of engagement and barriers to and influencers of engagement when introducing a DDSS for wound management. Methods This study uses a qualitative approach. Interviews were conducted with 11 health care staff within primary (n=4), community (n=6), and specialist (n=1) care during the start-up of the introduction of a DDSS for wound management. The interviews focused on the staff’s experiences of engagement. Content analysis by Burnard was used in the data analysis process. Results A total of 4 categories emerged describing the participants’ experiences of engagement: a personal liaison, a professional commitment, an extended togetherness, and an awareness and understanding of the circumstances. Conclusions This study identifies barriers to and influencers of engagement, reinforcing that staff experience engagement through feeling a personal liaison and a professional commitment to make things better for their patients. In addition, engagement is nourished by sharing with coworkers and by active support and understanding from leadership.
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Affiliation(s)
- Hanna Wickström
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmö, Sweden.,Blekinge Wound Healing Centre, Karlshamn, Sweden
| | - Hanna Tuvesson
- Department of Health and Caring Sciences, Linnaeus University, Växjö, Sweden
| | - Rut Öien
- Blekinge Centre of Competence, Karlskrona, Sweden
| | - Patrik Midlöv
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Cecilia Fagerström
- Department of Health and Caring Sciences, Linnaeus University, Kalmar, Sweden
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Wei Y, Zheng P, Deng H, Wang X, Li X, Fu H. Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis. J Med Internet Res 2020; 22:e21687. [PMID: 33295292 PMCID: PMC7758171 DOI: 10.2196/21687] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/30/2020] [Accepted: 10/24/2020] [Indexed: 12/21/2022] Open
Abstract
Background Well-designed mobile health (mHealth) interventions support a positive user experience; however, a high rate of disengagement has been reported as a common concern regarding mHealth interventions. To address this issue, it is necessary to summarize the design features that improve user engagement based on research over the past 10 years, during which time the popularity of mHealth interventions has rapidly increased due to the use of smartphones. Objective The aim of this review was to answer the question “Which design features improve user engagement with mHealth interventions?” by summarizing published literature with the purpose of guiding the design of future mHealth interventions. Methods This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. Databases, namely, PubMed, Web of Science, Cochrane Library, Ovid EMBASE, and Ovid PsycINFO, were searched for English and Chinese language papers published from January 2009 to June 2019. Thematic analysis was undertaken to assess the design features in eligible studies. The Mixed Methods Appraisal Tool was used to assess study quality. Results A total of 35 articles were included. The investigated mHealth interventions were mainly used in unhealthy lifestyle (n=17) and chronic disease (n=10) prevention programs. Mobile phone apps (n=24) were the most common delivery method. Qualitative (n=22) and mixed methods (n=9) designs were widely represented. We identified the following 7 themes that influenced user engagement: personalization (n=29), reinforcement (n=23), communication (n=20), navigation (n=17), credibility (n=16), message presentation (n=16), and interface aesthetics (n=7). A checklist was developed that contained these 7 design features and 29 corresponding specific implementations derived from the studies. Conclusions This systematic review and thematic synthesis identified useful design features that make an mHealth intervention more user friendly. We generated a checklist with evidence-based items to enable developers to use our findings easily. Future evaluations should use more robust quantitative approaches to elucidate the relationships between design features and user engagement.
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Affiliation(s)
- Yanxia Wei
- School of Public Health, Fudan University, Shanghai, China
| | - Pinpin Zheng
- School of Public Health, Fudan University, Shanghai, China
| | - Hui Deng
- School of Public Health, Fudan University, Shanghai, China
| | - Xihui Wang
- School of Public Health, Fudan University, Shanghai, China
| | - Xiaomei Li
- School of Public Health, Fudan University, Shanghai, China
| | - Hua Fu
- School of Public Health, Fudan University, Shanghai, China
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Gilbey D, Morgan H, Lin A, Perry Y. Effectiveness, Acceptability, and Feasibility of Digital Health Interventions for LGBTIQ+ Young People: Systematic Review. J Med Internet Res 2020; 22:e20158. [PMID: 33270039 PMCID: PMC7746499 DOI: 10.2196/20158] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 07/30/2020] [Accepted: 10/26/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Young people (aged 12-25 years) with diverse sexuality, gender, or bodily characteristics, such as those who identify as lesbian, gay, bisexual, transgender, intersex, or queer (LGBTIQ+), are at substantially greater risk of a range of mental, physical, and sexual health difficulties compared with their peers. Digital health interventions have been identified as a potential way to reduce these health disparities. OBJECTIVE This review aims to summarize the characteristics of existing evidence-based digital health interventions for LGBTIQ+ young people and to describe the evidence for their effectiveness, acceptability, and feasibility. METHODS A systematic literature search was conducted using internet databases and gray literature sources, and the results were screened for inclusion. The included studies were synthesized qualitatively. RESULTS The search identified 38 studies of 24 unique interventions seeking to address mental, physical, or sexual health-related concerns in LGBTIQ+ young people. Substantially more evidence-based interventions existed for gay and bisexual men than for any other population group, and there were more interventions related to risk reduction of sexually transmitted infections than to any other health concern. There was some evidence for the effectiveness, feasibility, and acceptability of these interventions overall; however, the quality of evidence is often lacking. CONCLUSIONS There is sufficient evidence to suggest that targeted digital health interventions are an important focus for future research aimed at addressing health difficulties in LGBTIQ+ young people. Additional digital health interventions are needed for a wider range of health difficulties, particularly in terms of mental and physical health concerns, as well as more targeted interventions for same gender-attracted women, trans and gender-diverse people, and people with intersex variations. TRIAL REGISTRATION PROSPERO International Prospective Register of Systematic Reviews CRD42020128164; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=128164.
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Affiliation(s)
- Dylan Gilbey
- Telethon Kids Institute, Perth, Australia.,School of Psychological Science, The University of Western Australia, Perth, Australia
| | - Helen Morgan
- Telethon Kids Institute, Perth, Australia.,Discipline of Psychology, College of Science, Health, Engineering and Education, Murdoch University, Perth, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, Perth, Australia.,Centre for Child Health Research, The University of Western Australia, Perth, Australia
| | - Yael Perry
- Telethon Kids Institute, Perth, Australia.,Centre for Child Health Research, The University of Western Australia, Perth, Australia
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Nordholt PU, Christalle E, Zill JM, Dirmaier J. Engagement With a Web-Based Intervention to Reduce Harmful Drinking: Secondary Analysis of a Randomized Controlled Trial. J Med Internet Res 2020; 22:e18826. [PMID: 33216008 PMCID: PMC7718095 DOI: 10.2196/18826] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 07/18/2020] [Accepted: 08/03/2020] [Indexed: 01/22/2023] Open
Abstract
Background Engagement with digital behavior change interventions (DBCIs) is considered a prerequisite for intervention efficacy. However, in many trials on DBCIs, participants use the intervention either only little or not at all. Objective To analyze engagement with a web-based intervention to reduce harmful drinking, we explored (1) whether engagement with a web-based alcohol intervention is related to drinking outcomes, (2) which user characteristics are associated with measures of engagement, and (3) whether reported outcomes are associated with data captured by voluntary intervention questionnaires. Methods We analyzed data of the intervention arm of a randomized controlled trial on a DBCI to reduce risky alcohol consumption. Data were collected at baseline (T0), after 90 days (T1), and at the end of the 180-day usage period (T2). Engagement with the intervention was measured via system usage data as well as self-reported usage. Drinking behavior was measured as average daily alcohol consumption as well as the number of binge drinking days. User characteristics included demographics, baseline drinking behavior, readiness to change, alcohol-related outcome expectancies, and alcohol abstinence self-efficacy. Following a bivariate approach, we performed two-tailed Welch’s t tests and Wilcoxon signed rank/Mann-Whitney U tests or calculated correlation coefficients. Results The data of 306 users were analyzed. Time spent engaging with the intervention as measured by system usage did not match self-reported usage. Higher self-reported usage was associated with higher reductions in average daily alcohol consumption (T1: ρ=0.39, P<.001; T2: ρ=0.29, P=.015) and in binge drinking days (T1: ρ=0.62, P<.001; T2: ρ=0.3, P=.006). Higher usage was reported from users who were single (T1: P<.001; T2: P<.001), users without children (T1: P<.001; T2: P<.001), users who did not start or finish secondary education (T1: P<.001; T2: P<.001), users without academic education (T1: P<.001; T2: P<.001), and those who worked (T1: P=.001; T2: P=.004). Relationships between self-reported usage and clinical or psychological baseline characteristics were complex. For system usage, the findings were mixed. Reductions in drinking captured by intervention questionnaires were associated with reported outcomes. Conclusions Though self-reported usage could be consistently linked to better outcomes and multiple user characteristics, our findings add to the overall inconclusive evidence that can be found throughout the literature. Our findings indicate potential benefits of self-reports as measures of engagement and intervention questionnaires as a basis for tailoring of intervention content. Future studies should adopt a theory-driven approach to engagement research utilizing psychometrically sound self-report questionnaires and include short ecological momentary assessments within the DBCIs. Trial Registration German Clinical Trials Register DRKS00006104; https://tinyurl.com/y22oc5jo
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Affiliation(s)
- Paul U Nordholt
- Department of Nursing and Management, Faculty of Business and Social Sciences, Hamburg University of Applied Sciences, Hamburg, Germany
| | - Eva Christalle
- Institute and Outpatient Clinic of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jördis M Zill
- Institute and Outpatient Clinic of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jörg Dirmaier
- Institute and Outpatient Clinic of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Bakker D, Rickard N. Engagement with a cognitive behavioural therapy mobile phone app predicts changes in mental health and wellbeing: MoodMission. AUSTRALIAN PSYCHOLOGIST 2020. [DOI: 10.1111/ap.12383] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- David Bakker
- Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Nikki Rickard
- Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Centre for Positive Psychology, University of Melbourne, Melbourne, Victoria, Australia
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43
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Baumel A, Fleming T, Schueller SM. Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care. J Med Internet Res 2020; 22:e20631. [PMID: 33118946 PMCID: PMC7661243 DOI: 10.2196/20631] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 08/11/2020] [Accepted: 08/13/2020] [Indexed: 01/19/2023] Open
Abstract
Although many people access publicly available digital behavioral and mental health interventions, most do not invest as much effort in these interventions as hoped or intended by intervention developers, and ongoing engagement is often low. Thus, the impact of such interventions is minimized by a misalignment between intervention design and user behavior. Digital micro interventions are highly focused interventions delivered in the context of a person’s daily life with little burden on the individual. We propose that these interventions have the potential to disruptively expand the reach of beneficial therapeutics by lowering the bar for entry to an intervention and the effort needed for purposeful engagement. This paper provides a conceptualization of digital micro interventions, their component parts, and principles guiding their use as building blocks of a larger therapeutic process (ie, digital micro intervention care). The model represented provides a structure that could improve the design, delivery, and research on digital micro interventions and ultimately improve behavioral and mental health care and care delivery.
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Etingen B, Amante DJ, Martinez RN, Smith BM, Shimada SL, Richardson L, Patterson A, Houston TK, Frisbee KL, Hogan TP. Supporting the Implementation of Connected Care Technologies in the Veterans Health Administration: Cross-Sectional Survey Findings from the Veterans Engagement with Technology Collaborative (VET-C) Cohort. J Particip Med 2020; 12:e21214. [PMID: 33044944 PMCID: PMC7557445 DOI: 10.2196/21214] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 06/30/2020] [Accepted: 08/05/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Widespread adoption, use, and integration of patient-facing technologies into the workflow of health care systems has been slow, thus limiting the realization of their potential. A growing body of work has focused on how best to promote adoption and use of these technologies and measure their impacts on processes of care and outcomes. This body of work currently suffers from limitations (eg, cross-sectional analyses, limited patient-generated data linked with clinical records) and would benefit from institutional infrastructure to enhance available data and integrate the voice of the patient into implementation and evaluation efforts. OBJECTIVE The Veterans Health Administration (VHA) has launched an initiative called the Veterans Engagement with Technology Collaborative cohort to directly address these challenges. This paper reports the process by which the cohort was developed and describes the baseline data being collected from cohort members. The overarching goal of the Veterans Engagement with Technology Collaborative cohort is to directly engage veterans in the evaluation of new VHA patient-facing technologies and in so doing, to create new infrastructure to support related quality improvement and evaluation activities. METHODS Inclusion criteria for veterans to be eligible for membership in the cohort included being an active user of VHA health care services, having a mobile phone, and being an established user of existing VHA patient-facing technologies as represented by use of the secure messaging feature of VHA's patient portal. Between 2017 and 2018, we recruited veterans who met these criteria and administered a survey to them over the telephone. RESULTS The majority of participants (N=2727) were male (2268/2727, 83.2%), White (2226/2727, 81.6%), living in their own apartment or house (2519/2696, 93.4%), and had completed some college (1176/2701, 43.5%) or an advanced degree (1178/2701, 43.6%). Cohort members were 59.9 years old, on average. The majority self-reported their health status as being good (1055/2725, 38.7%) or very good (524/2725, 19.2%). Most cohort members owned a personal computer (2609/2725, 95.7%), tablet computer (1616/2716, 59.5%), and/or smartphone (2438/2722, 89.6%). CONCLUSIONS The Veterans Engagement with Technology Collaborative cohort is an example of a VHA learning health care system initiative designed to support the data-driven implementation of patient-facing technologies into practice and measurement of their impacts. With this initiative, VHA is building capacity for future, rapid, rigorous evaluation and quality improvement efforts to enhance understanding of the adoption, use, and impact of patient-facing technologies.
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Affiliation(s)
- Bella Etingen
- eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, United States
| | - Daniel J Amante
- Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States
| | - Rachael N Martinez
- eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, United States
| | - Bridget M Smith
- eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, United States.,Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Stephanie L Shimada
- eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.,Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, United States
| | - Lorilei Richardson
- eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States
| | - Angela Patterson
- Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States
| | - Thomas K Houston
- eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States
| | - Kathleen L Frisbee
- Office of Connected Care, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, United States
| | - Timothy P Hogan
- eHealth Partnered Evaluation Initiative, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.,Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
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45
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Xie LF, Itzkovitz A, Roy-Fleming A, Da Costa D, Brazeau AS. Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence. J Med Internet Res 2020; 22:e18355. [PMID: 32788152 PMCID: PMC7473470 DOI: 10.2196/18355] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 07/16/2020] [Accepted: 07/19/2020] [Indexed: 12/13/2022] Open
Abstract
Background Chronic diseases contribute to 71% of deaths worldwide every year, and an estimated 15 million people between the ages of 30 and 69 years die mainly because of cardiovascular disease, cancer, chronic respiratory diseases, or diabetes. Web-based educational interventions may facilitate disease management. These are also considered to be a flexible and low-cost method to deliver tailored information to patients. Previous studies concluded that the implementation of different features and the degree of adherence to the intervention are key factors in determining the success of the intervention. However, limited research has been conducted to understand the acceptability of specific features and user adherence to self-guided web interventions. Objective This systematic review aims to understand how web-based intervention features are evaluated, to investigate their acceptability, and to describe how adherence to web-based self-guided interventions is defined and measured. Methods Studies published on self-guided web-based educational interventions for people (≥14 years old) with chronic health conditions published between January 2005 and June 2020 were reviewed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement protocol. The search was performed using the PubMed, Cochrane Library, and EMBASE (Excerpta Medica dataBASE) databases; the reference lists of the selected articles were also reviewed. The comparison of the interventions and analysis of the features were based on the published content from the selected articles. Results A total of 20 studies were included. Seven principal features were identified, with goal setting, self-monitoring, and feedback being the most frequently used. The acceptability of the features was measured based on the comments collected from users, their association with clinical outcomes, or device adherence. The use of quizzes was positively reported by participants. Self-monitoring, goal setting, feedback, and discussion forums yielded mixed results. The negative acceptability was related to the choice of the discussion topic, lack of face-to-face contact, and technical issues. This review shows that the evaluation of adherence to educational interventions was inconsistent among the studies, limiting comparisons. A clear definition of adherence to an intervention is lacking. Conclusions Although limited information was available, it appears that features related to interaction and personalization are important for improving clinical outcomes and users’ experience. When designing web-based interventions, the selection of features should be based on the targeted population’s needs, the balance between positive and negative impacts of having human involvement in the intervention, and the reduction of technical barriers. There is a lack of consensus on the method of evaluating adherence to an intervention. Both investigations of the acceptability features and adherence should be considered when designing and evaluating web-based interventions. A proof-of-concept or pilot study would be useful for establishing the required level of engagement needed to define adherence.
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Affiliation(s)
- Li Feng Xie
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Alexandra Itzkovitz
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Amelie Roy-Fleming
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | | | - Anne-Sophie Brazeau
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada.,Montreal Diabetes Research Center, Montreal, QC, Canada
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McCoy SI, Packel L. Lessons from early stage pilot studies to maximize the impact of digital health interventions for sexual and reproductive health. Mhealth 2020; 6:22. [PMID: 32632360 PMCID: PMC7327289 DOI: 10.21037/mhealth.2020.02.03] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 02/27/2020] [Indexed: 11/06/2022] Open
Affiliation(s)
- Sandra I McCoy
- Division of Epidemiology & Biostatistics, University of California, Berkeley, CA, USA
| | - Laura Packel
- Division of Epidemiology & Biostatistics, University of California, Berkeley, CA, USA
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Liverpool S, Mota CP, Sales CMD, Čuš A, Carletto S, Hancheva C, Sousa S, Cerón SC, Moreno-Peral P, Pietrabissa G, Moltrecht B, Ulberg R, Ferreira N, Edbrooke-Childs J. Engaging Children and Young People in Digital Mental Health Interventions: Systematic Review of Modes of Delivery, Facilitators, and Barriers. J Med Internet Res 2020; 22:e16317. [PMID: 32442160 PMCID: PMC7381028 DOI: 10.2196/16317] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 01/15/2020] [Accepted: 03/12/2020] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND There is a high prevalence of children and young people (CYP) experiencing mental health (MH) problems. Owing to accessibility, affordability, and scalability, an increasing number of digital health interventions (DHIs) have been developed and incorporated into MH treatment. Studies have shown the potential of DHIs to improve MH outcomes. However, the modes of delivery used to engage CYP in digital MH interventions may differ, with implications for the extent to which findings pertain to the level of engagement with the DHI. Knowledge of the various modalities could aid in the development of interventions that are acceptable and feasible. OBJECTIVE This review aimed to (1) identify modes of delivery used in CYP digital MH interventions, (2) explore influencing factors to usage and implementation, and (3) investigate ways in which the interventions have been evaluated and whether CYP engage in DHIs. METHODS A literature search was performed in the Cochrane Library, Excerpta Medica dataBASE (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and PsycINFO databases using 3 key concepts "child and adolescent mental health," "digital intervention," and "engagement." Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed using rigorous inclusion criteria and screening by at least two reviewers. The selected articles were assessed for quality using the mixed methods appraisal tool, and data were extracted to address the review aims. Data aggregation and synthesis were conducted and presented as descriptive numerical summaries and a narrative synthesis, respectively. RESULTS This study identified 6 modes of delivery from 83 articles and 71 interventions for engaging CYP: (1) websites, (2) games and computer-assisted programs, (3) apps, (4) robots and digital devices, (5) virtual reality, and (6) mobile text messaging. Overall, 2 themes emerged highlighting intervention-specific and person-specific barriers and facilitators to CYP's engagement. These themes encompassed factors such as suitability, usability, and acceptability of the DHIs and motivation, capability, and opportunity for the CYP using DHIs. The literature highlighted that CYP prefer DHIs with features such as videos, limited text, ability to personalize, ability to connect with others, and options to receive text message reminders. The findings of this review suggest a high average retention rate of 79% in studies involving various DHIs. CONCLUSIONS The development of DHIs is increasing and may be of interest to CYP, particularly in the area of MH treatment. With continuous technological advancements, it is important to know which modalities may increase engagement and help CYP who are facing MH problems. This review identified the existing modalities and highlighted the influencing factors from the perspective of CYP. This knowledge provides information that can be used to design and evaluate new interventions and offers important theoretical insights into how and why CYP engage in DHIs.
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Affiliation(s)
- Shaun Liverpool
- Evidence-Based Practice Unit, University College London and Anna Freud National Centre for Children and Families, London, United Kingdom
| | - Catarina Pinheiro Mota
- Center for Psychology, University of Porto, Porto, Portugal
- University of Trás-os-Montes and Alto Douro, Porto, Portugal
| | - Célia M D Sales
- Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Anja Čuš
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Sara Carletto
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Camellia Hancheva
- Faculty of Philosophy, General, Experimental, Developmental, and Health Psychology, Sofia University, Sofia, Bulgaria
| | - Sónia Sousa
- School of Digital Technologies, Tallinn University, Tallinn, Estonia
| | | | | | - Giada Pietrabissa
- Department of Psychology, Catholic University of Milan, Milan, Italy
- Psychology Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Bettina Moltrecht
- Evidence-Based Practice Unit, University College London and Anna Freud National Centre for Children and Families, London, United Kingdom
| | - Randi Ulberg
- Division of Mental Health and Addiction, University of Oslo, Oslo, Norway
| | | | - Julian Edbrooke-Childs
- Evidence-Based Practice Unit, University College London and Anna Freud National Centre for Children and Families, London, United Kingdom
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Saraiya TC, Swarbrick M, Franklin L, Kass S, Campbell ANC, Hien DA. Perspectives on trauma and the design of a technology-based trauma-informed intervention for women receiving medications for addiction treatment in community-based settings. J Subst Abuse Treat 2020; 112:92-101. [PMID: 32199551 PMCID: PMC11000234 DOI: 10.1016/j.jsat.2020.01.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 01/21/2020] [Accepted: 01/21/2020] [Indexed: 10/25/2022]
Abstract
BACKGROUND Despite national calls to develop gender-specific interventions for women with opioid use disorder (OUD) with co-occurring trauma and post-traumatic stress disorder (PTSD) symptoms, there remains a dearth of research on what modalities or treatment components would be most feasible for this population. This study interviewed women with OUD receiving medication assisted treatment and addiction treatment providers to explore (a) experiences of barriers to receiving trauma treatment, and (b) both the perceptions and desired design of a prospective technology-delivered, trauma-informed treatment for women with OUD. METHODS Women with lifetime OUD (n = 11) and providers (n = 5) at two community substance use clinics completed semi-structured interviews. Interviews were transcribed, coded, and analyzed in NVivo v11 using a grounded theory approach. Women also completed a demographic form and clinical measures. RESULTS Clients were primarily women with children reporting histories of multiple trauma exposures, high PTSD symptoms, and polysubstance use. Two themes emerged among clients and one among providers regarding barriers to trauma treatment. Regarding the feasibility and desired attributes of a technology-based intervention, six themes emerged among clients and providers, respectively. CONCLUSIONS Themes suggest a high interest by clients and providers for a technology-delivered, trauma informed treatment available by smartphone. Utilizing technology as an adjunct to care, without reducing face-to-face therapy, was important to both clients and providers.
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Affiliation(s)
- Tanya C Saraiya
- Derner School of Psychology, Adelphi University, 158 Cambridge Ave, Garden City, NY 11530, United States of America.
| | - Margaret Swarbrick
- Rutgers Health University Behavioral Healthcare, Rutgers University, 671 Hoes Ln W, Piscataway, NJ 08854, United States of America
| | - Liza Franklin
- Graduate School of Applied and Professional Psychology, Rutgers University, 152 Frelinghuysen Rd, Piscataway, NJ 08854, United States of America
| | - Sara Kass
- Center of Alcohol & Substance Use Studies, Rutgers University, 607 Allison Road, Piscataway, NJ, 08854, United States of America
| | - Aimee N C Campbell
- New York State Psychiatric Institute, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, United States of America
| | - Denise A Hien
- Graduate School of Applied and Professional Psychology, Rutgers University, 152 Frelinghuysen Rd, Piscataway, NJ 08854, United States of America; Center of Alcohol & Substance Use Studies, Rutgers University, 607 Allison Road, Piscataway, NJ, 08854, United States of America
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49
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Figueroa CA, DeMasi O, Hernandez-Ramos R, Aguilera A. Who Benefits Most from Adding Technology to Depression Treatment and How? An Analysis of Engagement with a Texting Adjunct for Psychotherapy. Telemed J E Health 2020; 27:39-46. [PMID: 32213012 DOI: 10.1089/tmj.2019.0248] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Introduction: Cognitive behavioral therapy (CBT) is an established treatment for depression, but its success is often impeded by low attendance. Supportive text messages assessing participants' mood in between sessions might increase attendance to in-clinic CBT, although it is not fully understood who benefits most from these interventions and how. This study examined (1) user groups showing different profiles of study engagement and (2) associations between increased response rates to mood texts and psychotherapy attendance. Methods: We included 73 participants who attended Group CBT (GCBT) in a primary care clinic and participated in a supportive automated text-messaging intervention. Using unsupervised machine learning, we identified and characterized subgroups with similar combinations of total texting responsiveness and total GCBT attendance. We used mixed-effects models to explore the association between increased previous week response rate and subsequent week in-clinic GCBT attendance and, conversely, response rate following attendance. Results: Participants could be divided into four clusters of overall study engagement, showing distinct profiles in age and prior texting knowledge. The response rate to texts in the week before GCBT was not associated with GCBT attendance, although the relationship was moderated by age; there was a positive relationship for younger, but not older, participants. Attending GCBT was, however, associated with higher response rate the week after an attended session. Conclusion: User groups of study engagement differ in texting knowledge and age. Younger participants might benefit more from supportive texting interventions when their purpose is to increase psychotherapy attendance. Our results have implications for tailoring digital interventions to user groups and for understanding therapeutic effects of these interventions.
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Affiliation(s)
- Caroline A Figueroa
- School of Social Welfare, University of California, Berkeley, Berkeley, California, USA
| | - Orianna DeMasi
- Department of Computer Science, University of California, Davis, Davis, California, USA
| | - Rosa Hernandez-Ramos
- School of Social Welfare, University of California, Berkeley, Berkeley, California, USA.,Zuckerberg San Francisco General Hospital, Department of Psychiatry, University of California, San Francisco, San Francisco, California, USA
| | - Adrian Aguilera
- School of Social Welfare, University of California, Berkeley, Berkeley, California, USA.,Zuckerberg San Francisco General Hospital, Department of Psychiatry, University of California, San Francisco, San Francisco, California, USA
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Van Til K, McInnis MG, Cochran A. A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder. Bipolar Disord 2020; 22:182-190. [PMID: 31610074 PMCID: PMC7085979 DOI: 10.1111/bdi.12849] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Self-monitoring is recommended for individuals with bipolar disorder, with numerous technological solutions available. This study aimed to identify basic components of these solutions that increase engagement with self-monitoring. METHODS Participants with bipolar disorder (n = 47) monitored their symptoms with a Fitbit and a smartphone app and were randomly assigned to either review or not review recorded symptoms weekly. We tested whether individuals would better adhere to and prefer monitoring with passive monitoring with an activity tracker compared to active monitoring with a smartphone app and whether individuals would better adhere to self-monitoring if their recorded symptoms were reviewed with an interviewer. RESULTS Monitoring with a smartphone app achieved similar adherence and preference to Fitbit (P > .85). Linear mixed effects modeling found adherence decreased significantly more over the study for the Fitbit (12% more, P < .001) even though more participants reported they would use the Fitbit over a year compared to the app (72.3% vs 46.8%). Reviewing symptoms weekly did not improve adherence, but most participants reported they would prefer to review symptoms with a clinician (74.5%) and on monthly basis (57.5%) compared to alternatives. Participants endorsed sleep as the most important symptom to monitor, forgetfulness as the largest barrier to self-monitoring, and raising self-awareness as the best reason for self-monitoring. CONCLUSIONS We recommend a combined strategy of wearable and mobile monitoring that includes reminders, targets raising self-awareness, and tracks sleep. A clinician may want to review symptoms on a monthly basis. TRIAL REGISTRATION ClinicalTrials.gov NCT03358238.
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Affiliation(s)
| | | | - A Cochran
- University of Wisconsin-Madison,Corresponding author:
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