Internet Interventions-The Application of Information Technology in Mental and Behavioural Health最新文献

{"title":"Evaluation of the impact of a digital care navigator on increasing patient registration with digital mental health interventions in routine care","authors":"Brittany Jaso-Yim ,&nbsp;Mara Eyllon ,&nbsp;Pratha Sah ,&nbsp;Mariesa Pennine ,&nbsp;George Welch ,&nbsp;Keke Schuler ,&nbsp;Laura Orth ,&nbsp;Heather O'Dea ,&nbsp;Elizabeth Rogers ,&nbsp;Lily H. Murillo ,&nbsp;J. Ben Barnes ,&nbsp;Georgia Hoyler ,&nbsp;Gabrielle Peloquin ,&nbsp;Kevin Jarama ,&nbsp;Samuel S. Nordberg ,&nbsp;Soo Jeong Youn","doi":"10.1016/j.invent.2024.100777","DOIUrl":"10.1016/j.invent.2024.100777","url":null,"abstract":"<div><h3>Background</h3><div>Less than half of adults with mental health disorders in the United States receive appropriate or timely care. Digital Mental Health Interventions (DMHIs) have the potential to bridge this gap. However, real-world adoption of DMHIs is impeded by patient and provider-level technological barriers. Care navigators have the potential to address these challenges by providing technical support and enhancing patients' experience with DMHIs.</div></div><div><h3>Objective</h3><div>This study explores the effect of a digital care navigator (DCN) on patient registration latency and rates of DMHIs implemented as part of a digital-first behavioral health care model integrated within routine care at a large multispecialty group medical practice.</div></div><div><h3>Methods</h3><div>Data were collected from electronic medical records and DMHI registration data were obtained from the DMHI vendors. Descriptive statistics were used to describe the DCN's efforts to help patients register with their DMHIs. Moods median tests evaluated differences in registration latency and weekly registration rate pre- and post- DCN implementation. Change in registration likelihood as a function of DCN outreach latency was investigated using a Kaplan-Meier plot.</div></div><div><h3>Results</h3><div>During the first eight months, the DCN made 1306 phone calls to 680 unique patients, successfully connecting with 66 %. DCN implementation also increased the median registration rate from 61.9 % to 76.9 %. Results showed that the expediency by which the DCN outreached patients directly impacted registration rate such that of those who were outreached by the DCN on the day of their referral to a DMHI, 96.86 % registered. This number was reduced to 76.15 % if the DCN reached them 1-day following referral, and 41.39 % 5-days after their referral.</div></div><div><h3>Conclusions</h3><div>Use of a DCN shows promise for enhancing patient registration rates with DMHIs in routine healthcare settings.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100777"},"PeriodicalIF":3.6,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of digital nature and actual nature on stress reduction: A meta-analysis and systematic review","authors":"Luyao Fan,&nbsp;Mohamad Rizal Baharum","doi":"10.1016/j.invent.2024.100772","DOIUrl":"10.1016/j.invent.2024.100772","url":null,"abstract":"<div><h3>Objectives</h3><p>The study aims to conduct a systematic literature review and meta-analysis to assess the effects of digital nature and actual nature on stress reduction.</p></div><div><h3>Methods</h3><p>In August 2023, Web of Science, Scopus, ProQuest, PubMed, and EBSCOhost databases were used, and ten articles were in the analysis, with a total sample size of 886 participants. Studies within- or between-subjects design conducted in either a randomized controlled trial or a quasi-experimental design were included. No restriction was put on the year of publication or geographical region. Conference papers and dissertations were also included whereas, book chapters were excluded. Participants included those who were exposed to at least one form of digital nature exposure, such as static images, videos, 360° pictures, and 360° videos. The risk of bias determined through Review Manager 5.4 was used to assess the quality of the studies. STATA software package version 16 was used for visual analysis of funnel plots. For the assessment of potential publication bias, Egger's test was implemented.</p></div><div><h3>Results</h3><p>Digital natural environments had the same level of stress recovery compared to actual environmental exposures with the same intervention content (SMD = −0.01; 95% CI: −0.15, 0.12). Subgroup analyses and meta-regression indicated that subjective or physiological stress measures, level of immersion, and data extraction method were not associated with pooled effect stress recovery. All subgroups showed comparable stress levels in both conditions. In addition, all included studies had different levels of risk of bias (low, moderate, and high).</p></div><div><h3>Conclusions</h3><p>The present study concludes that previous research has generally shown that stress levels are reduced in both digital and actual natural environments. The results of the meta-analysis support this conclusion with no significant differences between the two modes of stress recovery through nature viewing.</p></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100772"},"PeriodicalIF":3.6,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000654/pdfft?md5=c483d226c71812e6aed8d31e749459a7&pid=1-s2.0-S2214782924000654-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution","authors":"Marco Bolpagni ,&nbsp;Susanna Pardini ,&nbsp;Silvia Gabrielli","doi":"10.1016/j.invent.2024.100775","DOIUrl":"10.1016/j.invent.2024.100775","url":null,"abstract":"<div><h3>Background</h3><p>AI-powered Digital Therapeutics (DTx) hold potential for enhancing stress prevention by promoting the scalability of P5 Medicine, which may offer users coping skills and improved self-management of mental wellbeing. However, adoption rates remain low, often due to insufficient user and stakeholder involvement during the design phases.</p></div><div><h3>Objective</h3><p>This study explores the human-centered design potentials of SHIVA, a DTx integrating virtual reality and AI with the SelfHelp+ intervention, aiming to understand stakeholder views and expectations that could influence its adoption.</p></div><div><h3>Methods</h3><p>Using the SHIVA example, we detail design opportunities involving AI techniques for stress prevention across modeling, personalization, monitoring, and simulation dimensions. Workshops with 12 stakeholders—including target users, digital health designers, and mental health experts—addressed four key adoption aspects through peer interviews: AI data processing, wearable device roles, deployment scenarios, and the model's transparency, explainability, and accuracy.</p></div><div><h3>Results</h3><p>Stakeholders perceived AI-based data processing as beneficial for personalized treatment in a secure, privacy-preserving environment. While wearables were deemed essential, concerns about compulsory use and VR headset costs were noted. Initial human facilitation was favored to enhance engagement and prevent dropouts. Transparency, explainability, and accuracy were highlighted as crucial for the stress detection model.</p></div><div><h3>Conclusion</h3><p>Stakeholders recognized AI-driven opportunities as crucial for SHIVA's adoption, facilitating personalized solutions tailored to user needs. Nonetheless, challenges persist in developing a transparent, explainable, and accurate stress detection model to ensure user engagement, adherence, and trust.</p></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100775"},"PeriodicalIF":3.6,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221478292400068X/pdfft?md5=5966cd183f03cb84438a0e6b81125694&pid=1-s2.0-S221478292400068X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142230189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The therapeutic alliance in blended versus face-to-face cognitive behavioral therapy for adolescents and young adults with a depressive disorder","authors":"Miriam L.F.M. van Seters ,&nbsp;Sanne P.A. Rasing ,&nbsp;Mireille J. Huvenaars ,&nbsp;Ad Vermulst ,&nbsp;Denise H.M. Bodden ,&nbsp;Yvonne A.J. Stikkelbroek","doi":"10.1016/j.invent.2024.100776","DOIUrl":"10.1016/j.invent.2024.100776","url":null,"abstract":"<div><h3>Introduction</h3><div>A depressive disorder during adolescence is a serious and disabling disorder, which has a high impact on the development of adolescents. Blended treatment, combining online and face-to-face sessions, is effective and can reduce some of the barriers for adolescents to use mental health care. There is a lack of knowledge about whether therapeutic alliance is established in blended treatment for adolescents and young adults suffering from a depressive disorder. This study examines whether the quality of the therapeutic alliance differs when cognitive behavior therapy (CBT) is delivered in combination with online intervention (b-CBT) compared to solely face-to-face (FtF-CBT) and the extent to which a stronger therapeutic alliance is associated with better treatment outcome.</div></div><div><h3>Methods</h3><div>A pragmatic quasi-experimental design was used. Data collected within two separate studies were combined. A total of 85 participants (80 % female), aged 13–22 (mean = 16.63, SD = 1.92) were recruited within mental health care institutions and diagnosed with a depressive disorder (using K-SADS). Assessments were done at pre-treatment (T0), after five weeks (T1), after ten weeks (T2), post-treatment (T3) and one to four weeks after treatment (T4) and included measures of depressive symptomatology (CDI-2). The therapeutic alliance was measured at T1, T2 and T3 by the TASC. <em>t</em>-tests for independent samples were used to test differences in therapeutic alliance rates between b-CBT and FtF-CBT at post-treatment. A linear growth model for depressive symptoms based on five time points with Latent Growth Curve Analysis (LGCA) was used to test whether the therapeutic alliance is associated with depressive symptoms.</div></div><div><h3>Results</h3><div>No differences in therapeutic alliance between b-CBT and FtF-CBT were found on either client-rated or therapist-rated therapeutic alliance. For both intervention groups, no significant association between the therapeutic alliance and depressive outcome was found.</div></div><div><h3>Discussion</h3><div>This study shows that providing part of CBT using an online environment does not have a negative impact on the therapeutic alliance. In contrast to earlier research, no association was found between the therapeutic alliance and therapy outcome in neither the b-CBT nor the FtF-CBT intervention.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100776"},"PeriodicalIF":3.6,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000691/pdfft?md5=c6cd2ba44e3d3238275deabf94ef2e23&pid=1-s2.0-S2214782924000691-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT","authors":"Nils Hentati Isacsson ,&nbsp;Kirsten Zantvoort ,&nbsp;Erik Forsell ,&nbsp;Magnus Boman ,&nbsp;Viktor Kaldo","doi":"10.1016/j.invent.2024.100773","DOIUrl":"10.1016/j.invent.2024.100773","url":null,"abstract":"<div><h3>Objective</h3><p>Predicting who will not benefit enough from Internet-Based Cognitive Behavioral (ICBT) Therapy early on can assist in better allocation of limited mental health care resources. Repeated measures of symptoms during treatment is the strongest predictor of outcome, and we want to investigate if methods that explicitly account for time-dependency are superior to methods that do not, with data from (a) only two pre-treatment timepoints and (b) the pre-treatment timepoints and three timepoints during initial treatment.</p></div><div><h3>Methods</h3><p>We use 1) commonly used time-independent methods (i.e., Linear Regression and Random Forest models) and 2) time-dependent methods (i.e., multilevel model regression, mixed-effects random forest, and a Long Short-Term Memory model) to predict symptoms during treatment, including the final outcome. This is done with symptom scores from 6436 ICBT patients from regular care, using robust multiple imputation and nested cross-validation methods.</p></div><div><h3>Results</h3><p>The models had a 14 %–12 % root mean squared error (RMSE) in predicting the post-treatment outcome, corresponding to a balanced accuracy of 67–74 %. Time-dependent models did not have higher accuracies. Using data for the initial treatment period (b) instead of only from before treatment (a) increased prediction results by 1.3 % percentage points (12 % to 10.7 %) RMSE and 6 % percentage points BACC (69 % to 75 %).</p></div><div><h3>Conclusion</h3><p>Training prediction models on only symptom scores of the first few weeks is a promising avenue for symptom predictions in treatment, regardless of which model is used. Further research is necessary to better understand the interaction between model complexity, dataset length and width, and the prediction tasks at hand.</p></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100773"},"PeriodicalIF":3.6,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000666/pdfft?md5=1990aa321535e76c003880576de54367&pid=1-s2.0-S2214782924000666-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crowdsourcing integrated into a digital mental health platform for anxiety and depression: A pilot randomized controlled trial","authors":"Benjamin Kaveladze ,&nbsp;Jane Shkel ,&nbsp;Stacey Le ,&nbsp;Veronique Marcotte ,&nbsp;Kevin Rushton ,&nbsp;Theresa Nguyen ,&nbsp;Stephen M. Schueller","doi":"10.1016/j.invent.2024.100774","DOIUrl":"10.1016/j.invent.2024.100774","url":null,"abstract":"<div><h3>Background</h3><div>Anxiety and depression are major public health concerns. Digital mental health interventions (DMHIs) are effective at reducing anxiety and depression, especially when they leverage human support. However, DMHIs that rely on human supporters tend to be less scalable. “Crowdsourced peer support,” in which a “crowd” of many peers provides users support via structured and focused interactions, may enable DMHIs to provide some of human support's unique benefits at scale.</div></div><div><h3>Objective</h3><div>To conduct a pilot trial of two versions of a digital mental health intervention for anxiety and depression: one with crowdsourced peer support and one without.</div></div><div><h3>Methods</h3><div>We conducted a two-armed pilot randomized controlled trial examining two versions of the novel “Overcoming Thoughts” platform: crowdsourced (intervention) vs. non-crowdsourced (control). The crowdsourced version allowed participants to view and interact with other users' content. We randomly assigned 107 participants to use the crowdsourced (<em>n</em> = 56) or non-crowdsourced (<em>n</em> = 51) platform for 8 weeks. Participants completed assessments at baseline, 4 weeks, 8 weeks, and 16 weeks. At each time point, these assessments included measures of anxiety and depression, including the Depression, Anxiety, and Stress Scale (DASS, primary outcome), the Patient Health Questionnaire (PHQ-9, secondary outcome), and the Generalized Anxiety Disorder Questionnaire (GAD-7, secondary outcome). We also collected usage information, including the number of exercises started, and safety data.</div></div><div><h3>Results</h3><div>Using mixed models controlling for demographic factors, we compared the conditions' effectiveness in reducing depression and anxiety over time. Although we found significant drops over time in the DASS at both Week 8 and Week 16 (<em>p</em>s &lt; 0.01), we did not find significant treatment x time interactions (Week 8, <em>p</em> = 0.35; Week 16, <em>p</em> = 0.68). The PHQ-9 and GAD-7 showed similar results. The median number of times participants used the platform was 3 (mean = 6.99, SD = 9.78). Greater platform use was not associated with a different change in DASS total score, PHQ-9 score, or GAD-7 score over eight weeks (<em>p</em>s &gt; 0.10).</div></div><div><h3>Conclusions</h3><div>Neither version of the “Overcoming Thoughts” platform (crowdsourced or non-crowdsourced) reduced anxiety or depression significantly more than the other. Future work should investigate how digital platforms can better leverage crowdsourced support, and if crowdsourced support may be especially useful in certain kinds of systems, populations, or target areas. Optimizing intervention engagement and obtaining the large sample sizes needed for appropriate statistical power will be key challenges for similar studies.</div><div>NCT: 04226742</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100774"},"PeriodicalIF":3.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preferences and perceived barriers for internet-based treatment among adolescents with anxiety or depressive disorders: A qualitative study","authors":"J. Emmelkamp ,&nbsp;M.A. Wisman ,&nbsp;M.H. Nauta ,&nbsp;N.I.E. Van Rijn ,&nbsp;J.J.M. Dekker ,&nbsp;C. Christ","doi":"10.1016/j.invent.2024.100770","DOIUrl":"10.1016/j.invent.2024.100770","url":null,"abstract":"<div><h3>Background</h3><p>Over the past two decades, the development of internet-based treatments for adolescents with anxiety and depressive disorders has advanced rapidly. To date, adolescents' preferences and perceived barriers for internet-based treatment remain largely unknown, especially in clinical samples. Therefore, this study explored the preferences and perceived barriers of adolescents with anxiety or depression regarding internet-based treatment.</p></div><div><h3>Methods</h3><p>This qualitative study included 21 adolescent patients with anxiety or depressive disorder, and varied levels of experience with internet-based treatment. Two focus groups (N₁ = 5, N₂ = 6) and semi-structured interviews (<em>N</em> = 10) were conducted, recorded, transcribed, and analyzed using a reflexive thematic analysis approach.</p></div><div><h3>Results</h3><p>The thematic analysis yielded five main themes, and 12 subthemes. The main themes were: independence, accessibility, content, therapist contact, and appearance. Adolescents highlighted self-direction as a benefit of internet-based treatment, and motivational challenges as a drawback. They found internet-based interventions convenient and particularly fitting for implementation during waiting periods before formal treatment. Guided interventions were preferred over mere self-help. Furthermore, adolescents stressed the importance of a clear, organized design, and recommended accessibility on both mobile phones and computers.</p></div><div><h3>Conclusion</h3><p>Findings provide a clear overview of the needs and preferences of adolescents with anxiety or depressive disorder regarding internet-based treatment. To address their diverse needs, internet-based interventions should be tailorable, should incorporate therapist guidance, and should already be available during the treatment waiting period. Results of this study can guide the development and implementation of new internet-based interventions, and may thereby help to further optimize their uptake among adolescent patients.</p></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100770"},"PeriodicalIF":3.6,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000630/pdfft?md5=b7a2e9e4ea286c58deb1351c5cabf34e&pid=1-s2.0-S2214782924000630-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A protocol for a pilot randomised controlled trial of unguided internet cognitive behaviour therapy for grief in adolescents","authors":"Sarah J. Egan ,&nbsp;Caitlin Munro ,&nbsp;Sian B. Pauley-Gadd ,&nbsp;Amy O'Brien ,&nbsp;Thomas Callaghan ,&nbsp;Nicholas Payne ,&nbsp;Shravan Raghav ,&nbsp;Bronwyn Myers ,&nbsp;Christopher Hall ,&nbsp;Hayden Wilson ,&nbsp;Maarten C. Eisma ,&nbsp;Paul A. Boelen ,&nbsp;Kirsten V. Smith ,&nbsp;Jennifer Wild ,&nbsp;Michael Duffy ,&nbsp;David Trickey ,&nbsp;Elizabeth Bills ,&nbsp;Lauren J. Breen","doi":"10.1016/j.invent.2024.100771","DOIUrl":"10.1016/j.invent.2024.100771","url":null,"abstract":"<div><p>Grief is highly prevalent in adolescents, however, there have been no studies investigating internet delivered cognitive behaviour therapy for grief in adolescents (ICBT-G-A). In this paper, the co-design of an unguided ICBT-G-A intervention is described, and a protocol outlined for a pilot randomised controlled trial of the intervention. Participants will be randomised to the intervention (delivered via eight modules over a four-week period) or a four-week waitlist control. Intervention participants will complete a follow-up assessment at one-month post-intervention (eight weeks from the pre-intervention assessment). The intervention outcomes assessed at pre-intervention, post-intervention and follow-up include wellbeing and symptoms of anxiety, depression, post-traumatic stress, and prolonged grief. User feedback on experiences and acceptability of the intervention will be sought and feasibility assessed via programmatic data on recruitment and attrition.</p></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100771"},"PeriodicalIF":3.6,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000642/pdfft?md5=e26570565acf7767a4b081ca5a3acd0b&pid=1-s2.0-S2214782924000642-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experiences of digital physiotherapy during pregnancy and after childbirth: A qualitative study","authors":"Frida Johnson ,&nbsp;Sara Frygner Holm ,&nbsp;Andrea Hess Engström","doi":"10.1016/j.invent.2024.100768","DOIUrl":"10.1016/j.invent.2024.100768","url":null,"abstract":"<div><h3>Background</h3><p>Pelvic girdle pain, low back pain, and pelvic floor dysfunction can affect women's mobility, quality of life, and well-being during pregnancy and the postpartum period. Digital interventions for treating perinatal depression and lifestyle changes have been studied. Research on digital physiotherapy for musculoskeletal issues related to pregnancy and the postpartum period is sparse.</p></div><div><h3>Methods</h3><p>This qualitative study involved in-depth, semi-structured interviews with 19 participants, of whom six were pregnant and 13 had given birth. Participants were recruited from a private clinic in Sweden through convenience sampling and had received digital physiotherapy prior to the interviews. An interview guide with questions exploring participants' experiences of digital physiotherapy, including its impact on musculoskeletal issues and daily life, and their motivation for seeking digital healthcare was used. Data were analyzed using a qualitative content analysis with an inductive approach.</p></div><div><h3>Results</h3><p>The analysis resulted in two main categories: <em>Finding a new way into physiotherapy treatment</em> and <em>Personalized progress through tailored physiotherapy</em>. These main categories encompassed four generic categories: <em>Convenience and dissatisfaction motivators for digital physiotherapy</em>, <em>A dual experience – appreciated but not always comprehensive, Being involved in the rehabilitation process,</em> and <em>Perceived physical and mental improvements after digital physiotherapy</em>.</p></div><div><h3>Conclusion</h3><p>Digital physiotherapy was well-accepted and perceived as beneficial for managing musculoskeletal symptoms during pregnancy and after childbirth. High accessibility and flexibility were considered advantages. However, inability to undergo a physical assessment was a challenge. Digital physiotherapy may be recommended as a complement to usual care, particularly for women with limited access to a physiotherapist specialized in women's health. Future studies exploring digital physiotherapy's efficacy for musculoskeletal issues during pregnancy and after childbirth are highly recommended.</p></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100768"},"PeriodicalIF":3.6,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000617/pdfft?md5=e77688a45c799f7d74aa5e7e469fb98c&pid=1-s2.0-S2214782924000617-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A web step-based digital solution's impact on physical, cognitive and psychosocial functioning of community-dwelling older adults: A mixed methods randomized and controlled trial","authors":"Anabela G. Silva ,&nbsp;Ana Isabel Martins ,&nbsp;Rosa Andias ,&nbsp;Ellen Nery ,&nbsp;Telmo Silva ,&nbsp;Óscar Ribeiro ,&nbsp;Gonçalo Santinha ,&nbsp;Nelson P. Rocha","doi":"10.1016/j.invent.2024.100766","DOIUrl":"10.1016/j.invent.2024.100766","url":null,"abstract":"<div><h3>Background</h3><p>As the population ages, innovative responses are urgently needed to promote physical activity at scale. Thus, this study investigated whether a step-based activity mediated by a digital solution impacts the physical functioning of community-dwelling older adults. The secondary aims were to assess whether the same activity impacts cognitive and psychosocial functioning and explore participants' views towards the activity.</p></div><div><h3>Methods</h3><p>A mixed method, randomized, and controlled study with one group performing a step-based activity using DanceMove (recommended dosage: twice a week for 20 to 30 min for eight weeks) and the other their usual activities. DanceMove was used at the individuals' homes without any direct supervision. Clinical tests and questionnaires administered in person were used to assess participants at baseline, post-intervention, and three-month follow-up. The primary outcome of interest was gait velocity. Secondary outcomes were balance, pain intensity, cognitive functioning, self-efficacy, social support, loneliness, and quality of life. Also, at the end of the intervention, a semi-structured individual interview was conducted with participants in the experimental group.</p></div><div><h3>Results</h3><p>Seventy participants were randomized to the control (<em>n</em> = 37) and experimental (<em>n</em> = 33) groups. Of the 33 participants in the experimental group, four did not use the DanceMove at all and two used it for only 3 min. The remaining 26 participants used it for a total time over the eight weeks that varied between 15 and 991 min (mean ± SD = 306.55 ± 258.83 min). The step-based activity was not more effective than usual activities for any of the variables assessed (<em>P</em> &gt; .05). Difficulties, positive and negative aspects regarding the digital solution, and reasons for not using it were identified in the interviews.</p></div><div><h3>Conclusions</h3><p>Eight weeks of a step-based activity mediated by a digital solution did not impact the physical, cognitive, and psychosocial functioning of community-dwelling healthy older adults. However, the activity was enjoyable and safe to be performed at home without direct supervision. Further studies are needed to explore aspects that could modulate the impact of this type of technology-mediated activity.</p></div><div><h3>Trial registration</h3><p>The study was registered at <span><span>clinialtrials.gov</span><svg><path></path></svg></span> (NCT 05460039) before the enrolment of the first participant.</p></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100766"},"PeriodicalIF":3.6,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000599/pdfft?md5=038606212db04921de0b3fa5907c7932&pid=1-s2.0-S2214782924000599-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}