Journal of technology in behavioral science最新文献

{"title":"Mental Health Outcomes and Putative Targets of an Online Mindfulness Program for New and Expectant Mothers: A Randomized Controlled Trial","authors":"C. Metcalf, R. Gallop, Z. Segal, Sona Dimidjian","doi":"10.1007/s41347-023-00307-4","DOIUrl":"https://doi.org/10.1007/s41347-023-00307-4","url":null,"abstract":"","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":"1 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48596563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intervention Framework to Develop Steeling Effect through Interactive Gaming Technologies","authors":"Sujan Shrestha, A. Aggarwal, Peter J. Vento","doi":"10.1007/s41347-023-00309-2","DOIUrl":"https://doi.org/10.1007/s41347-023-00309-2","url":null,"abstract":"","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":"1 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43013397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Phenotyping Models of Symptom Improvement in College Mental Health: Generalizability Across Two Cohorts.","authors":"Danielle Currey,&nbsp;Ryan Hays,&nbsp;John Torous","doi":"10.1007/s41347-023-00310-9","DOIUrl":"10.1007/s41347-023-00310-9","url":null,"abstract":"<p><p>Smartphones can be used to gain insight into mental health conditions through the collection of survey and sensor data. However, the external validity of this digital phenotyping data is still being explored, and there is a need to assess if predictive models derived from this data are generalizable. The first dataset (V1) of 632 college students was collected between December 2020 and May 2021. The second dataset (V2) was collected using the same app between November and December 2021 and included 66 students. Students in V1 could enroll in V2. The main difference between the V1 and V2 studies was that we focused on protocol methods in V2 to ensure digital phenotyping data had a lower degree of missing data than in the V1 dataset. We compared survey response counts and sensor data coverage across the two datasets. Additionally, we explored whether models trained to predict symptom survey improvement could generalize across datasets. Design changes in V2, such as a run-in period and data quality checks, resulted in significantly higher engagement and sensor data coverage. The best-performing model was able to predict a 50% change in mood with 28 days of data, and models were able to generalize across datasets. The similarities between the features in V1 and V2 suggest that our features are valid across time. In addition, models must be able to generalize to new populations to be used in practice, so our experiments provide an encouraging result toward the potential of personalized digital mental health care.</p>","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":" ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978275/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9717233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is Virtual Cognitive Stimulation Therapy the Future for People with Dementia? An Audit of UK NHS Memory Clinics During the COVID-19 Pandemic.","authors":"Emily Fisher, Danielle Proctor, Luke Perkins, Cerne Felstead, Joshua Stott, Aimee Spector","doi":"10.1007/s41347-023-00306-5","DOIUrl":"10.1007/s41347-023-00306-5","url":null,"abstract":"<p><p>Access to psychosocial interventions for people with dementia, such as Cognitive Stimulation Therapy (CST), has been restricted during the COVID-19 pandemic. Some services have shifted to provision via videoconferencing, but the prevalence of this is unknown. This audit aimed to understand provision of virtual CST (vCST) within National Health Service (NHS) memory clinics throughout the UK and Channel Islands and investigate plans for ongoing CST provision. A cross-sectional survey was circulated to NHS memory clinics, which included closed and open-ended questions to generate quantitative and qualitative data. Thirty-three memory clinics responded to the survey. During the pandemic, 55% of respondents offered vCST, whereas 45% offered no CST. Of those offering vCST, 80% plan to continue with a hybrid model of separate face-to-face and vCST groups, whilst 20% intend to deliver face-to-face CST only. Reported positive aspects of vCST were participant and staff enjoyment, perceived improved digital confidence in participants, and improved accessibility for those who cannot attend face-to-face groups. Negative aspects related to digital poverty, limited digital literacy, support needed from carers, the impact of sensory impairment on engagement, and staff time commitment. Virtual CST has been a feasible alternative to face-to-face services during the pandemic but should not completely replace in-person groups. A hybrid approach would increase accessibility for all. Future research should explore efficacy of vCST and seek to understand patterns of exclusion from such digital interventions.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41347-023-00306-5.</p>","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10804886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption.","authors":"Julia M Whealin, Jason J Saleem, Christina M Armstrong, Jennifer Roth, Jennifer Herout","doi":"10.1007/s41347-023-00305-6","DOIUrl":"10.1007/s41347-023-00305-6","url":null,"abstract":"<p><p>Automated text messaging interventions can effectively improve self-care and were used to support the U.S. Veterans Health Administration's (VHA) public health outreach during the COVID pandemic. Currently, significant gaps exist in knowledge about VHA patients' texting protocol preferences that may impact user receptivity, engagement, and effectiveness. This study qualitatively evaluated patient suggestions to improve two VHA Covid-related texting interventions and preferences for future text message protocols. We reviewed cross-sectional type-written survey responses from patients receiving either the \"Coronavirus Precautions\" or the \"Coping During COVID\" multi-week text protocols. Two team members independently and inductively coded all responses allowing for an upward abstraction of qualitative data. Nine hundred five patients (72.8% male) responded to the open-response item questions targeted by this research. An item that sought feedback to improve protocol acceptability generated thirteen distinct descriptive categories (inter-rater reliability 83.5%). Codable feedback showed, for example, that patients desired to manipulate message frequency and to have a more sophisticated interaction with messages. Patients' suggestions for future automated text messaging protocols yielded nine distinct topic areas. Patients offered suggestions that may impact receptivity and engagement of future automated text message protocols, particularly as they relate to outreach during a public health crisis. In addition, patients offered specific topics they would like to see in future text message protocols. We discuss how the findings can be used to increase engagement in current and post-pandemic public health interventions.</p>","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":" ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946868/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10862492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduction in Social Media Usage Produces Improvements in Physical Health and Wellbeing: An RCT","authors":"P. Reed, Tegan Fowkes, M. Khela","doi":"10.1007/s41347-023-00304-7","DOIUrl":"https://doi.org/10.1007/s41347-023-00304-7","url":null,"abstract":"","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":"1 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49364304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of a Technology-Enhanced Peer Mentor Referral System for First-Year University Students.","authors":"Alexandra Werntz, Megyn Jasman, Katherine Simeon, Harun Gunasekaran, Constance Yowell, Jean E Rhodes","doi":"10.1007/s41347-023-00303-8","DOIUrl":"10.1007/s41347-023-00303-8","url":null,"abstract":"<p><p>COVID-19 forced college administrators to reassess how they provide students with the most effective methods of support. This project examined the first year of a novel digital peer mentoring program with the goal of connecting diverse students to campus resources they needed to navigate the transition to and through their first year of college. MentorHub, a referral and supportive accountability mobile application, was implemented with first-year undergraduates at a large, private university in the northeastern region of the USA. MentorHub tracked students' current challenges and connected them with trained peer mentors who provided students with support and referrals to campus resources (e.g., mental health, financial, academic). Analyses were not hypothesis-driven, but instead were exploratory and intended for improving the platform. In the first year of the program (August 2021 to June 2022), 47% (<i>N</i> = 3141) students logged onto the platform at least once. Patterns of self-reported challenges revealed that career concerns were the most challenging at the beginning of the fall semester, and that academic habits were most challenging over the course of the year. Referrals (<i>N</i> = 756) were made by mentors, 13% of which were for health and well-being. First-generation and underrepresented minority students showed distinct patterns in referrals. Findings revealed distinct patterns in self-reported challenges across the academic year. Students' use of MentorHub and responses to in-app questions allowed for a real-time understanding of student challenges and patterns of engagement with peer mentors. Implications for a stepped-care approach to addressing student challenges are discussed.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41347-023-00303-8.</p>","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":" ","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898860/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9112442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual Versus In-Person Suicide Prevention Training in the Workplace: Evaluation of the VitalCog Program.","authors":"Matthew C Mishkind, Alexandra Yannacone, Amy Lopez, Bonnie T Jortberg, Ashley Sherrill, Teresa Mescher","doi":"10.1007/s41347-023-00301-w","DOIUrl":"10.1007/s41347-023-00301-w","url":null,"abstract":"<p><p>Most suicides occur among adults of working age and workplace suicide prevention is a public health priority. Workplace suicide prevention efforts, however, remain limited. This paper describes and evaluates a workplace-based suicide prevention gatekeeper training delivered in-person and virtually. VitalCog is a 2-h suicide prevention program designed specifically for the workplace and based on best practices for gatekeeper training. It is designed to be practical and interactive, with four modules (why prevention matters, what to do if someone is suicidal, conversations about suicide, and postvention), each containing related video, group discussion, and role play exercise components. It was delivered live by experienced trainers either in-person or using synchronous technologies between 2018 and 2021. A mixed methods pre- and post-training design with no control group was used to evaluate in-person vs. virtual delivery to determine knowledge gain, confidence identifying warning signs, and comfort levels talking about suicide. One thousand two-hundred and forty-four (1244) pre- and post-training responses were analyzed, with no significant (<i>p</i> > .05) socio-economic differences between the pre-training and post-training respondent samples. Both in-person (<i>n</i> = 841) and virtual (<i>n</i> = 403) training groups demonstrated statistically significant increases in knowledge about suicide prevention and seeking help, confidence to identify suicide warning signs, and comfort levels talking to someone about getting help. Interestingly, the virtual group showed higher post-training outcome scores than the in-person group. While COVID-19 significantly reduced in-person training opportunities, these results suggest that offering VitalCog virtually is as effective as in-person, and potentially has advantages over in-person training.</p>","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885406/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10661703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Dynamics of the Mental Health Apple and Android App Marketplaces.","authors":"S E Stoeckl, Edgardo Torres-Hernandez, Erica Camacho, John Torous","doi":"10.1007/s41347-023-00300-x","DOIUrl":"10.1007/s41347-023-00300-x","url":null,"abstract":"<p><p>Barriers to mental health care, including stigma, costs, and mental health professional shortages, have been exacerbated by the COVID-19 pandemic. Smartphone apps have the potential to increase scalability and improve access to mental health information, support, and interventions. However, evaluating these apps and selecting ones for use in care remain challenging, especially as apps are often updating and changing. Recommending apps requires knowledge of how stable apps are as the experience of one user several months ago may or may not be the same. A sample of 347 apps of the 650 apps on the M-health Index and Navigation Database (MIND) https://mindapps.org were reviewed between September 1, 2021, and January 5, 2022. Apps were selected by time since their last review, with updates occurring on average approximately 4 months from the last review. Eleven trained app evaluators reviewed apps across 105 evaluation criteria in 9 categories. Results were compared to initial ratings, identifying the changes that occurred. The average app updates every 433 days, though 19% were updated in the last 3 months and some nearly weekly. Changes in privacy and features made up the highest percentage of changes, both at 38%. The most frequently observed privacy-related change was increased privacy policy reading level. Functionality parameters changed in 28% of apps. The most common functionality change was the removal of an accessibility feature. Clinical foundations changed in 18% of apps and 9% added supporting studies. Cost structure changed in 17% of apps, with 10% adding a fee for use of the app. Engagement features changed in 17% of the apps, with additions and removals of validated assessments or screeners most common. The dynamic nature of the app stores is reflected in app privacy, features, and functionality. These changes, reflected by the increased reading levels required to understand privacy policies, the decrease in accessibility features, and the additions of fees to access mobile apps, reflect the need to constantly review apps and understand how they are evolving. Patient and clinicians should use the most recent and updated possible when evaluating apps.</p>","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873536/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10589992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Looking Through the Lenses of a Patient: An Empirical Study on the Factors Affecting Patients’ Intention to Use Avatar-assisted Therapy","authors":"Emi Moriuchi, Cassandra Berbary, C. Easton","doi":"10.1007/s41347-022-00298-8","DOIUrl":"https://doi.org/10.1007/s41347-022-00298-8","url":null,"abstract":"","PeriodicalId":73962,"journal":{"name":"Journal of technology in behavioral science","volume":"8 1","pages":"100-112"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46186313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}