Elia Gabarron

• Skafle, Ingjerd; Gabarron, Elia & Nordahl-Hansen, Anders (2024). Social media shaping autism perception and identity. Autism. ISSN 1362-3613. doi: 10.1177/13623613241230454.
• Larbi, Dillys; Wynn, Rolf; Trondsen, Marianne Vibeke; Årsand, Eirik; Zanaboni, Paolo & Denecke, Kerstin [Show all 7 contributors for this article] (2024). What do adults living with obesity want from a chatbot for physical activity? – a qualitative study. BMC Digital Health. ISSN 2731-684X. 2. doi: 10.1186/s44247-024-00070-3. Full text in Research Archive
• Lopez Campos, Guillermo; Gabarron, Elia; Martin-Sanchez, Fernando; Merolli, Mark; Petersen, Carolyn & Denecke, Kerstin (2024). Digital Interventions and Their Unexpected Outcomes - Time for Digitalovigilance? Studies in Health Technology and Informatics. ISSN 0926-9630. 310, p. 479–483. doi: 10.3233/SHTI231011.
• Denecke, Kerstin; Rivera-Romero, Octavio; Merolli, Mark; Miron-Shatz, Talya; Gabarron, Elia & Petersen, Carolyn (2023). How Participatory Health Informatics Catalyzes One Digital Health. Yearbook of Medical Informatics. ISSN 0943-4747. 32(1), p. 48–54. doi: 10.1055/s-0043-1768727. Full text in Research Archive
• Gabarron, Elia; Reichenpfader, Daniel & Denecke, Kerstin (2023). Exploring the Evolution of Social Media in Mental Health Interventions: A Mapping Review. Yearbook of Medical Informatics. ISSN 0943-4747. 32(1), p. 152–157. doi: 10.1055/s-0043-1768730. Full text in Research Archive
• Hansen, Rita-Kristin; Baiju, Nikita & Gabarron, Elia (2023). Social Media as an Effective Provider of Quality-Assured and Accurate Information to Increase Vaccine Rates: Systematic Review. Journal of Medical Internet Research. ISSN 1438-8871. 25. doi: 10.2196/50276. Full text in Research Archive
• Denecke, Kerstin; May, Richard; Gabarron, Elia & Lopez Campos, Guillermo (2023). Assessing the Potential Risks of Digital Therapeutics (DTX): The DTX Risk Assessment Canvas. Journal of Personalized Medicine. 13(10). doi: 10.3390/jpm13101523. Full text in Research Archive
• Ropero, Jorge; Denecke, Kerstin; Rivera-Romero, Octavio & Gabarron, Elia (2023). Personalized Digital Solutions for Mental Health. Studies in Health Technology and Informatics. ISSN 0926-9630. 309, p. 282–286. doi: 10.3233/SHTI230797. Full text in Research Archive
• Rivera-Romero, Octavio; Gabarron, Elia; Ropero, Jorge & Denecke, Kerstin (2023). Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics. ISSN 1532-0464. 146. doi: 10.1016/j.jbi.2023.104500. Full text in Research Archive
• Torrado Vidal, Juan Carlos; Bakke, Caroline & Gabarron, Elia (2023). Chatbots and Children with Special Educational Needs Interaction. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 14021, p. 443–452. doi: 10.1007/978-3-031-35897-5_32.
• Gabarron, Elia; Dorronzoro, Enrique; Reichenpfader, Daniel & Denecke, Kerstin (2023). What Do Autistic People Discuss on Twitter? An Approach Using BERTopic Modelling. Studies in Health Technology and Informatics. ISSN 0926-9630. 302, p. 403–407. doi: 10.3233/SHTI230161. Full text in Research Archive
• Denecke, Kerstin; Rivera-Romero, Octavio; Petersen, Carolyn; Benham-Hutchins, Marge; Cabrer, Miguel & Davies, Shauna [Show all 18 contributors for this article] (2023). Defining and Scoping Participatory Health Informatics - An eDelphi Study. Methods of Information in Medicine. ISSN 0026-1270. 62(03/04), p. 90–99. doi: 10.1055/a-2035-3008. Full text in Research Archive
• Gabarron, Elia; Skafle, Ingjerd; Nordahl-Hansen, Anders & Wynn, Rolf (2023). Social media interventions for autistic individuals: Systematic review. Frontiers in Psychiatry. ISSN 1664-0640. 14. doi: 10.3389/fpsyt.2023.1089452. Full text in Research Archive
• Skafle, Ingjerd; Nordahl-Hansen, Anders ; Quintana, Daniel; Wynn, Rolf & Gabarron, Elia (2022). Misinformation about Covid-19 Vaccines on Social Media: Rapid Review. Journal of Medical Internet Research. ISSN 1438-8871. 24(8). doi: 10.2196/37367. Full text in Research Archive
• Larbi, Dillys; Sandsdalen, Helle; Gabarron, Elia; Årsand, Eirik & Henriksen, André (2022). User preferences for a physical activity chatbot connected to an activity tracker and integrated into a social media platform. Linköping Electronic Conference Proceedings. ISSN 1650-3686. p. 118–123. doi: 10.3384/ecp187020. Full text in Research Archive
• Larbi, Dillys; Lauvhaug Nybakke, Henriette; Lind, Karianne Fredenfeldt; Rødseth, Eirin & Gabarron, Elia (2022). A scoping review of diabetes telemedicine research in Norway. Linköping Electronic Conference Proceedings. ISSN 1650-3686. p. 97–102. doi: 10.3384/ecp187017. Full text in Research Archive
• Gabarron, Elia; Henriksen, André & Nordahl-Hansen, Anders (2022). Social media, physical activity and autism: better or bitter together? A scoping review . Linköping Electronic Conference Proceedings. ISSN 1650-3686. p. 111–117. doi: 10.3384/ecp187019. Full text in Research Archive
• Larbi, Dillys; Denecke, Kerstin & Gabarron, Elia (2022). Usability Testing of a Social Media Chatbot for Increasing Physical Activity Behavior. Journal of Personalized Medicine. 12(5). doi: 10.3390/jpm12050828. Full text in Research Archive
• Rivera-Romero, Octavio; Gabarron, Elia; Miron-Shatz, Talya; Petersen, Carolyn & Denecke, Kerstin (2022). Social Media, Digital Health Literacy, and Digital Ethics in the Light of Health Equity. Yearbook of Medical Informatics. ISSN 0943-4747. 31(1), p. 82–87. doi: 10.1055/s-0042-1742503. Full text in Research Archive
• Gabarron, Elia; Dechsling, Anders; Skafle, Ingjerd & Nordahl-Hansen, Anders (2022). Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter. JMIR Formative Research. ISSN 2561-326X. 6(3). doi: 10.2196/32752. Full text in Research Archive
• Giunti, Guido; Isomursu, Minna; Gabarron, Elia & Solad, Yauheni (2021). Designing Depression Screening Chatbots. Studies in Health Technology and Informatics. ISSN 0926-9630. 284, p. 259–263. doi: 10.3233/SHTI210719.
• Larbi, Dillys; Gabarron, Elia & Denecke, Kerstin (2021). Social media chatbot for increasing physical activity: usability study. Studies in Health Technology and Informatics. ISSN 0926-9630. 285, p. 227–232. doi: 10.3233/SHTI210604. Full text in Research Archive
• Giunti, Guido; Claes, Mäelick; Zubiete, Enrique Dorronzoro; Rivera-Romero, Octavio & Gabarron, Elia (2021). Impact of COVID-19 on Multiple Sclerosis Topic Discussion on Twitter. Studies in Health Technology and Informatics. ISSN 0926-9630. 281, p. 865–869. doi: 10.3233/SHTI210302.
• Denecke, Kerstin & Gabarron, Elia (2021). How Artificial Intelligence for Healthcare Look Like in the Future? Studies in Health Technology and Informatics. ISSN 0926-9630. 281, p. 860–864. doi: 10.3233/SHTI210301.
• Larbi, Dillys; Randine, Pietro; Årsand, Eirik; Bradway, Meghan; Antypas, Konstantinos & Gabarron, Elia (2021). Criteria for Assessing and Recommending Digital Diabetes Tools: A Delphi Study. Studies in Health Technology and Informatics. ISSN 0926-9630. 281, p. 850–854. doi: 10.3233/SHTI210299. Full text in Research Archive
• Gabarron, Elia; Larbi, Dillys; Årsand, Eirik & Wynn, Rolf (2021). Engaging Social Media Users with Health Education and Physical Activity Promotion. Studies in Health Technology and Informatics. ISSN 0926-9630. 281, p. 789–793. doi: 10.3233/SHTI210283. Full text in Research Archive
• Fernandez Luque, Luis; Kushniruk, A.W.; Georgiou, A; Basu, A.; Petersen, Carolyn & Ronquillo, C. [Show all 29 contributors for this article] (2021). Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action. Methods of Information in Medicine. ISSN 0026-1270. doi: 10.1055/s-0041-1726414.
• Skafle, Ingjerd; Gabarron, Elia; Dechsling, Anders & Nordahl-Hansen, Anders Johan (2021). Online Attitudes and Information-Seeking Behavior on Autism, Asperger Syndrome, and Greta Thunberg. International Journal of Environmental Research and Public Health (IJERPH). ISSN 1661-7827. 18(9). doi: 10.3390/ijerph18094981. Full text in Research Archive
• Gabarron, Elia; Rivera-Romero, Octavio; Miron-Shatz, Talya; Grainger, Rebecca & Denecke, Kerstin (2021). Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics. ISSN 0943-4747. 30(1), p. 200–209. doi: 10.1055/s-0041-1726486.
• Gabarron Hortal, Elia Dolores; Oyeyemi, Sunday Oluwafemi & Wynn, Rolf (2021). Covid-19-related misinformation on social media: a systematic review. Bulletin of the World Health Organization. ISSN 0042-9686. 99(6), p. 455–463A. doi: 10.2471/BLT.20.276782. Full text in Research Archive
• Denecke, Kerstin; Gabarron Hortal, Elia Dolores; Petersen, Carolyn & Merolli, Mark (2021). Defining participatory health informatics – a scoping review. Informatics for Health and Social Care. ISSN 1753-8157. doi: 10.1080/17538157.2021.1883028.
• Laranjo, Liliana; Ding, Ding; Heleno, Bruno; Kocaballi, Baki; Quiroz, Juan C. & Tong, Huong Ly [Show all 15 contributors for this article] (2020). Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression . British Journal of Sports Medicine. ISSN 0306-3674. doi: 10.1136/bjsports-2020-102892.
• Gabarron, Elia; Larbi, Dillys; Dorronzoro, Enrique; Hasvold, Per Erlend; Wynn, Rolf & Årsand, Eirik (2020). Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study. Journal of Medical Internet Research. ISSN 1438-8871. 22(9). doi: 10.2196/21204. Full text in Research Archive
• Larbi, Dillys; Randine, Pietro; Årsand, Eirik; Antypas, Konstantinos; Bradway, Meghan & Gabarron, Elia (2020). Methods and evaluation criteria for apps and digital interventions for diabetes self-management: Systematic review. Journal of Medical Internet Research. ISSN 1438-8871. 22(7). doi: 10.2196/18480. Full text in Research Archive Show summary

  Background: There is growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with diabetes could therefore be supplemented by apps and digital interventions to increase patients’ skills. Several initiatives, models, and frameworks suggest how health apps and digital interventions could be evaluated, but there are few standards for this. And although there are many methods for evaluating apps and digital interventions, a more specific approach might be needed for assessing digital diabetes self-management interventions. Objective: This review aims to identify which methods and criteria are used to evaluate apps and digital interventions for diabetes self-management, and to describe how patients were involved in these evaluations. Methods: We searched CINAHL, EMBASE, MEDLINE, and Web of Science for articles published from 2015 that referred to the evaluation of apps and digital interventions for diabetes self-management and involved patients in the evaluation. We then conducted a narrative qualitative synthesis of the findings, structured around the included studies’ quality, methods of evaluation, and evaluation criteria. Results: Of 1681 articles identified, 31 fulfilled the inclusion criteria. A total of 7 articles were considered of high confidence in the evidence. Apps were the most commonly used platform for diabetes self-management (18/31, 58%), and type 2 diabetes (T2D) was the targeted health condition most studies focused on (12/31, 38%). Questionnaires, interviews, and user-group meetings were the most common methods of evaluation. Furthermore, the most evaluated criteria for apps and digital diabetes self-management interventions were cognitive impact, clinical impact, and usability. Feasibility and security and privacy were not evaluated by studies considered of high confidence in the evidence. Conclusions: There were few studies with high confidence in the evidence that involved patients in the evaluation of apps and digital interventions for diabetes self-management. Additional evaluation criteria, such as sustainability and interoperability, should be focused on more in future studies to provide a better understanding of the effects and potential of apps and digital interventions for diabetes self-management.

• Giunti, Guido; Claes, Mäelick; Zubiete, Enrique Dorronzoro; Rivera-Romero, Octavio & Gabarron, Elia (2020). Analysing Sentiment and Topics Related to Multiple Sclerosis on Twitter. Studies in Health Technology and Informatics. ISSN 0926-9630. 270, p. 911–915. doi: 10.3233/SHTI200294. Show summary

  Background and objective: Social media could be valuable tools to support people with multiple sclerosis (MS). There is little evidence on the MS-related topics that are discussed on social media, and the sentiment linked to these topics. The objective of this work is to identify the MS-related main topics discussed on Twitter, and the sentiment linked to them. Methods: Tweets dealing with MS in the English language were extracted. Latent-Dirilecht Allocation (LDA) was used to identify the main topics discussed in these tweets. Iterative inductive process was used to group the tweets into recurrent topics. The sentiment analysis of these tweets was performed using SentiStrength. Results: LDA’ identified topics were grouped into 4 categories, tweets dealing with: related chronic conditions; condition burden; disease-modifying drugs; and awareness-raising. Tweets on condition burden and related chronic conditions were the most negative (p<0.001). A significant lower positive sentiment was found for both tweets dealing with disease-modifying drugs, condition burden, and related chronic conditions (p<0.001). Only tweets on awareness-raising were most positive than the average (p<0.001). Discussion: The use of both tools to identify the main discussed topics on social media and to analyse the sentiment of these topics, increases the knowledge of the themes that could represent the bigger burden for persons affected with MS. This knowledge can help to improve support and therapeutic approaches addressed to them.

• Gabarron, Elia; Larbi, Dillys; Denecke, Kerstin & Årsand, Eirik (2020). What Do We Know About the Use of Chatbots for Public Health? Studies in Health Technology and Informatics. ISSN 0926-9630. 270, p. 796–800. doi: 10.3233/SHTI200270. Full text in Research Archive Show summary

  Background and objective: The number of publications on the use of chatbots for health is recently increasing, however to our knowledge, there are no publications summarizing what is known about using chatbots for public health yet. The objective of this work is to provide an overview of the existing scientific literature on the use of chatbots for public health, for which purpose have chatbots been used, and whether health-related outcomes have been reported. Methods: We carried out a literature review on this topic across 5 databases: Pubmed, EMBASE, PsychINFO, SCOPUS, and IEEE Xplore. Identified papers were classified according to their underlying technology, application area, and study design. Results: A total of 15 relevant papers were identified: eight of these papers were developmental studies that tested the feasibility or usability of a chatbot, and seven were interventional studies. All the interventional studies reported positive health- related outcomes associated with the chatbot use. Discussion: The first studies testing chatbots for public health seem very promising; however, there are various aspects that should be improved, including the chatbots’ designs, studies’ methods, and analysis and reporting of results. More high-quality studies and improved reporting of chatbots’ use are needed.

• Bradway, Meghan; Gabarron Hortal, Elia Dolores; Johansen, Monika Alise; Zanaboni, Paolo; Jacobsen Jardim, Patricia Sofia & Joakimsen, Ragnar Martin [Show all 8 contributors for this article] (2020). Methods and measures used to evaluate patient-operated mobile health interventions: Scoping literature review. JMIR mhealth and uhealth. ISSN 2291-5222. 8:e16814(4), p. 1–17. doi: 10.2196/16814. Full text in Research Archive
• Rivera-Romero, Octavio; Konstantinidis, Stathis Th.; Denecke, Kerstin; Gabarron, Elia; Petersen, Carolyn & Househ, Mowafa [Show all 8 contributors for this article] (2020). Ethical Considerations for Participatory Health through Social Media: Healthcare Workforce and Policy Maker Perspectives. Yearbook of Medical Informatics. ISSN 0943-4747. doi: 10.1055/s-0040-1701981. Show summary

  Objectives: To identify the different ethical issues that should be considered in participatory health through social media from different stakeholder perspectives (i.e., patients/service users, health professionals, health information technology (If) professionals, and policy makers) in any healthcare context. Methods: We implemented a two-round survey composed of open ended questions in the first round, aggregated into a list of ethical issues rated for importance by participants in the second round, to generate a ranked list of possible ethical issues in participatory health based on healthcare professionals’ and policy makers’ opinions on both their own point of view and their beliefs for other stakeholders’ perspectives. Results: Twenty-six individuals responded in the first round of the survey. Multiple ethical issues were identified for each perspective. Data privacy, data security, and digital literacy were common themes in all perspectives. Thirty-three individuals completed the second round of the survey. Data privacy and data security were ranked among the three most important ethical issues in all perspectives. Quality assurance was the most important issue from the healthcare professionals’ perspective and the second most important issue from the patients’ perspective. Data privacy was the most important consideration for patients/service users. Digital literacy was ranked as the fourth most important issue, except for policy makers’ perspective. Conclusions: Different stakeholders’ opinions fairly agreed that there are common ethical issues that should be considered across the four groups (patients, healthcare professionals, health IT professionals, policy makers) such as data privacy, security, and quality assurance.

• Gabarron, Elia; Bradway, Meghan & Årsand, Eirik (2020). Social media for adults. In Klonoff, David C.; Kerr, David & Mulvaney, Shelagh A. (Ed.), Diabetes Digital Health. Elsevier. ISSN 978-0-12-817485-2. p. 119–129.
• Larbi, Dillys; Bradway, Meghan; Randine, Pietro; Antypas, Konstantinos; Gabarron, Elia & Årsand, Eirik (2019). Do diabetes mHealth and online interventions evaluate what is important for users? Linköping Electronic Conference Proceedings. ISSN 1650-3686. p. 30–36. Full text in Research Archive Show summary

  Research often presents patient needs from perceptions of healthcare professionals and researchers. Today, patients can formulate tailored questions and seek solutions for what they need to self-manage in many ways. We aimed to compare reported outcomes of mHealth and online intervention studies for diabetes selfmanagement to patient-reported needs, from a systematic review and a literature review respectively. Although we found similarities between the reported outcomes and the patient-reported needs, research has yet to meet all patient needs. Comprehensive methods for development and testing of interventions should be explored to meet the specific needs of patients.

• Denecke, Kerstin; Gabarron, Elia; Grainger, Rebecca; Konstantinidis, Stathis Th.; Lau, Annie Y.S. & Rivera-Romero, Octavio [Show all 8 contributors for this article] (2019). Artificial intelligence for participatory health: applications, impact, and future implications. Yearbook of Medical Informatics. ISSN 0943-4747. 28(1), p. 165–173. doi: 10.1055/s-0039-1677902.
• Årsand, Eirik; Bradway, Meghan & Gabarron, Elia (2019). What are diabetes patients versus health care personnel discussing on social media? . Journal of Diabetes Science and Technology. ISSN 1932-2968. doi: 10.1177/1932296818821649. Full text in Research Archive
• Gabarron, Elia; Dorronzoro, Enrique; Bradway, Meghan; Rivera-Romero, Octavio; Wynn, Rolf & Årsand, Eirik (2018). Preferences and interests of diabetes social media users regarding a health-promotion intervention. Patient Preference and Adherence. ISSN 1177-889X. 12, p. 2499–2506. doi: 10.2147/PPA.S184369. Full text in Research Archive
• Gabarron, Elia; Dorronzoro, Enrique; Rivera-Romero, Octavio & Wynn, Rolf (2018). Diabetes on Twitter: A sentiment analysis. Journal of Diabetes Science and Technology. ISSN 1932-2968. doi: 10.1177/1932296818811679. Full text in Research Archive
• Gabarron, Elia; Årsand, Eirik & Wynn, Rolf (2018). Social media use in interventions for diabetes: Rapid evidence-based review. Journal of Medical Internet Research. ISSN 1438-8871. 20:e10303(8), p. 1–11. doi: 10.2196/10303. Full text in Research Archive Show summary

  BACKGROUND: Health authorities recommend educating diabetic patients and their families and initiating measures aimed at improving self-management, promoting a positive behavior change, and reducing the risk of complications. Social media could provide valid channel to intervene in and deliver diabetes education. However, it is not well known whether the use of these channels in such interventions can help improve the patients' outcomes. OBJECTIVE: The objective of our study was to review and describe the current existing evidence on the use of social media in interventions targeting people affected with diabetes. METHODS: A search was conducted across 4 databases (PubMed, Scopus, EMBASE, and Cochrane Library). The quality of the evidence of the included primary studies was graded according to the Grading of Recommendations Assessment, Development and Evaluation criteria, and the risk of bias of systematic reviews was assessed by drawing on the Assessment of Multiple Systematic Reviews guidelines. The outcomes reported by these studies were extracted and analyzed. RESULTS: We included 20 moderate- and high-quality studies in the review: 17 primary studies and 3 systematic reviews. Of the 16 publications evaluating the effect on glycated hemoglobin (HbA1c) of the interventions using social media, 13 reported significant reductions in HbA1c values. The 5 studies that measured satisfaction with the interventions using social media found positive effects. We found mixed evidence regarding the effect of interventions using social media on health-related quality of life (2 publications found positive effects and 3 found no differences) and on diabetes knowledge or empowerment (2 studies reported improvements and 2 reported no significant changes). CONCLUSIONS: There is very little good-quality evidence on the use of social media in interventions aimed at helping people with diabetes. However, the use of these channels is mostly linked to benefits on patients' outcomes. Public health institutions, clinicians, and other stakeholders who aim at improving the knowledge of diabetic patients could consider the use of social media in their interventions.

• Gabarron, Elia; Bradway, Meghan; Fernandez-Luque, Luis; Chomutare, Taridzo; Hansen, Anne Helen & Wynn, Rolf [Show all 7 contributors for this article] (2018). Social media for health promotion in diabetes: Study protocol for a participatory public health intervention design. BMC Health Services Research. ISSN 1472-6963. 18(414). doi: 10.1186/s12913-018-3178-7. Full text in Research Archive Show summary

  Participatory health approaches are increasingly drawing attention among the scientific community, and could be used for health promotion programmes on diabetes through social media. The main aim of this project is to research how to best use social media to promote healthy lifestyles with and within the Norwegian population. Methods The design of the health promotion intervention (HPI) will be participatory, and will involve both a panel of healthcare experts and social media users following the Norwegian Diabetes Association. The panel of experts will agree on the contents by following the Delphi method, and social media users will participate in the definition of the HPI by expressing their opinions through an adhoc online questionnaire. The agreed contents between both parties to be used in the HPI will be posted on three social media channels (Facebook, Twitter and Instagram) along 24 months. The 3 months before starting the HPI, and the 3 months after the HPI will be used as control data. The effect of the HPI will be assessed by comparing formats, frequency, and reactions to the published HPI messages, as well as comparing potential changes in five support-intended communication behaviours expressed on social media, and variations in sentiment analysis before vs during and after the HPI. The HPI’s effect on social media users’ health-related lifestyles, online health behaviours, and satisfaction with the intervention will be assessed every 6 months through online questionnaires. A separate questionnaire will be used to assess the panel of experts’ satisfaction and perceptions of the benefits for health professionals of a HPI as this one. Discussion The time constraints of today’s medical practice combined with the piling demand of chronic conditions such as diabetes make any additional request of extra time used by health care professionals a challenge. Social media channels provide efficient, ubiquitous and user-friendly platforms that can encourage participation, engagement and action necessary from both those who receive and provide care to make health promotion interventions successful.

• Rincon, Esther; Monteiro-Guerra, Francisco; Rivera-Romero, Octavio; Dorronzoro, Enrique; Sanchez-Bocanegra, Carlos L. & Gabarron, Elia (2017). Mobile Phone Apps for Quality of Life and Well-Being Assessment in Breast and Prostate Cancer Patients: Systematic Review. JMIR mhealth and uhealth. ISSN 2291-5222. 5(12). doi: 10.2196/mhealth.8741. Show summary

  Background: Mobile phone health apps are increasingly gaining attention in oncological care as potential tools for supporting cancer patients. Although the number of publications and health apps focusing on cancer is increasing, there are still few specifically designed for the most prevalent cancers diagnosed: breast and prostate cancers. There is a need to review the effect of these apps on breast and prostate cancer patients’ quality of life (QoL) and well-being. Objective: The purposes of this study were to review the scientific literature on mobile phone apps targeting breast or prostate cancer patients and involving QoL and well-being (anxiety and depression symptoms) and analyze the clinical and technological characteristics, strengths, and weaknesses of these apps, as well as patients’ user experience with them. Methods: We conducted a systematic review of peer-reviewed literature from The Cochrane Library, Excerpta Medica Database, PsycINFO, PubMed, Scopus, and MEDLINE to identify studies involving apps focused on breast and/or prostate cancer patients and QoL and/or well-being published between January 1, 2000, and July 12, 2017. Only trial studies which met the inclusion criteria were selected. The systematic review was completed with a critical analysis of the apps previously identified in the health literature research that were available from the official app stores. Results: The systematic review of the literature yielded 3862 articles. After removal of duplicates, 3229 remained and were evaluated on the basis of title and abstract. Of these, 3211 were discarded as not meeting the inclusion criteria, and 18 records were selected for full text screening. Finally, 5 citations were included in this review, with a total of 644 patients, mean age 52.16 years. Four studies targeted breast cancer patients and 1 focused on prostate cancer patients. Four studies referred to apps that assessed QoL. Only 1 among the 5 analyzed apps was available from the official app store. In 3 studies, an app-related intervention was carried out, and 2 of them reported an improvement on QoL. The lengths of the app-related interventions varied from 4 to 12 weeks. Because 2 of the studies only tracked use of the app, no effect on QoL or well-being was found. Conclusions: Despite the existence of hundreds of studies involving cancer-focused mobile phone apps, there is a lack of rigorous trials regarding the QoL and/or well-being assessment in breast and/or prostate cancer patients. A strong and collective effort should be made by all health care providers to determine those cancer-focused apps that effectively represent useful, accurate, and reliable tools for cancer patients’ disease management. Trial Registration: PROSPERO CRD42017073069; https://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID= CRD42017073069 (Archived by WebCite at http://www.webcitation.org/6v38Clb9T)

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• Henriksen, André; Gabarron, Elia & Vimarlund, Vivian (2022). Proceedings of the 18th Scandinavian Conference on Health Informatics. Linköping Electronic Conference Proceedings. ISBN 978-91-7929-344-4. 242 p. Full text in Research Archive

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• Gabarron, Elia; Hansen, Rita-Kristin & Isaksen, Amanda (2024). Kan sosiale medier brukes for å få flere til å ta vaksiner? . [Internet]. Forskning.no. Show summary

  Forskere mener at riktig bruk av kampanjer på sosiale medier kan bli en ressurs for helsevesenet for å overvinne skepsis og desinformasjon.

• Hordvin Johnsen, Juni & Gabarron, Elia (2023). Deler sykdommen på Tiktok: - Følte meg levende død. . [Internet]. TV2.
• Denecke, Kerstin; Gabarron, Elia & Petersen, Carolyn (2023). Current Trends and New Approaches in Participatory Health Informatics. Methods of Information in Medicine. ISSN 0026-1270. doi: 10.1055/s-0043-1777732.
• Barken, Tina Lien; Bonacina, Stefano; Bostad, Rune; Gabarron, Elia; Garcia, Beate Hennie & Haddeland, Kristine [Show all 25 contributors for this article] (2023). University campus as a smart technology-supported active learning arena. Septentrio Reports. ISSN 2387-4597. doi: 10.7557/7.7222.
• Ropero, Jorge; Denecke, Kerstin; Rivera-Romero, Octavio & Gabarron, Elia (2023). Personalized Digital Solutions for Mental Health.
• Larbi, Dillys; Wynn, Rolf; Årsand, Eirik; Denecke, Kerstin; Zanaboni, Paolo & Gabarron, Elia (2023). Exploring Obese Adults' Preferences for a Physical Activity Chatbot: Qualitative Study. Studies in Health Technology and Informatics. ISSN 0926-9630. 302, p. 478–479. doi: 10.3233/SHTI230179.
• Denecke, Kerstin; Gabarron, Elia; Hussein, Rada & Lopez Campos, Guillermo (2023). Why does ethics matter in participatory health?
• Denecke, Kerstin; Gabarron, Elia; Lopez Campos, Guillermo & Rivera-Romero, Octavio (2023). Development of a taxonomy on participatory health informatics: Concepts and categories definition.
• Gabarron, Elia & Johnsen, Juni Hordvin (2023). Deler sykdommen på Tiktok: – Følte meg levende død . [Internet]. TV2.
• Nordahl-Hansen, Anders ; Slang, Victoria & Gabarron, Elia (2023). Savant abilities and autism: A literature review.
• Cuff, Alison & Gabarron, Elia (2023). BMC Digital Health publishes its first articles; lets celebrate with the Editorial Board. [Internet]. https://blogs.biomedcentral.com/bmcseriesblog/2023/02/10/bmc.
• Skafle, Ingjerd; Dechsling, Anders; Nordahl-Hansen, Anders & Gabarron, Elia (2022). Online attitudes and information-seeking behavior on autism and Asperger’s syndrome.
• Nordahl-Hansen, Anders ; Gabarron, Elia & Henriksen, André (2022). Social media and physical activity in autism.
• Gabarron, Elia (2022). Social media for health promotion in diabetes.
• Gabarron, Elia; Skafle, Ingjerd; Nordahl-Hansen, Anders & Wynn, Rolf (2022). Social media interventions for autism.
• Sandsdalen, Helle; Gabarron, Elia; Årsand, Eirik & Henriksen, André (2022). User preferences for a physical activity chatbot connected to an activity tracker and integrated into a social media platform​.
• Gabarron, Elia; Henriksen, André & Nordahl-Hansen, Anders (2022). Social media, physical activity and autism: better or bitter together? A scoping review .
• Larbi, Dillys; Lauvhaug Nybakke, Henriette; Lind, Karianne Fredenfeldt; Rødseth, Eirin & Gabarron, Elia (2022). Telemedicine for Diabetes in Norway. Studies in Health Technology and Informatics. ISSN 0926-9630. 294, p. 951–952. doi: 10.3233/SHTI220636.
• Larbi, Dillys; Lauvhaug Nybakke, Henriette; Lind, Karianne Fredenfeldt; Rødseth, Eirin & Gabarron, Elia (2022). Telemedicine for diabetes in Norway.
• Larbi, Dillys & Gabarron, Elia (2021). Social media chatbots have a great potential for public health .
• Larbi, Dillys & Gabarron, Elia (2021). Helse-chatbots kan få folk til å bli mer aktive.
• Larbi, Dillys; Randine, Pietro; Årsand, Eirik; Bradway, Meghan; Antypas, Konstantinos & Gabarron, Elia (2021). How to recommend diabetes self-management tools or services. Show summary

  The most important criteria, rated by 15 healthcare professionals in a study, for recommending diabetes self-management tools and services were:

• Larbi, Dillys; Antypas, Konstantinos; Gabarron, Elia; Randine, Pietro; Bradway, Meghan & Årsand, Eirik (2021). What to look for when choosing tools to manage diabetes. Show summary

  It can be difficult to choose tools to help manage diabetes – whether apps, social media, or websites. The four requirements below are recommended by healthcare personnel as the most important.

• Larbi, Dillys; Randine, Pietro; Årsand, Eirik; Bradway, Meghan; Antypas, Konstantinos & Gabarron, Elia (2021). Hvordan anbefale digitale diabetesverktøy og –tjenester? Show summary

  De viktigste kriteriene, vurdert av 15 helsepersonell i en studie, for å anbefale digitale egenbehandlingsverktøy og -tjenester innen diabetes var:

• Larbi, Dillys; Antypas, Konstantinos; Gabarron, Elia; Randine, Pietro; Bradway, Meghan & Årsand, Eirik (2021). Hvordan velge digitale diabetesverktøy og –tjenester? Show summary

  Det kan være vanskelig å velge verktøy for å håndtere din diabetes – enten det er apper, nettsider, eller sosiale medier. De fire kravene nedenfor anbefales av helsepersonell som de viktigste.

• Skafle, Ingjerd; Gabarron, Elia & Berntsen, Hasse (2021). Greta Thunbergs diagnose gjør henne til både et forbilde og en hakkekylling . [Internet]. Forskning.no. Show summary

  Hun har fått merke at det eksisterer mange myter om autisme.

• Gabarron, Elia & Lundberg, Lene (2021). Can we stop misinformation about Covid-19? [Internet]. ScienceNorway.no.
• Gabarron, Elia & Lundberg, Lene (2021). Hvordan stoppe feilinformasjon om covid-19? . [Internet]. Forskning.no. Show summary

  Store mengder falske nyheter spres om koronaviruset, smitte og sykdom. Er det i hele tatt mulig å demme opp for feilinformasjon?

• Gabarron, Elia & Lundberg, Lene (2020). People prefer stories about people with diabetes to facts about the disease . [Internet]. ScienceNorway.no. Show summary

  Personal stories, often with video and emojis, were most liked and shared by the followers of the Norwegian Diabetes Association.

• Arnstad, Mali A.; Larbi, Dillys & Gabarron, Elia (2020). Can chatbots motivate people to be more active? Chatbots used in social media with a public health purpose has great potential, new research shows. . [Newspaper]. Science Nordic.
• Gabarron, Elia & Lundberg, Lene (2020). Folk vil heller ha historier om personer med diabetes enn fakta om sykdommen . [Internet]. Forskning.no. Show summary

  Det nære og personlige, gjerne med video og emojis, ble mest likt og delt av de som følger Diabetesforbundet på sosiale medier.

• Larbi, Dillys; Gabarron, Elia & Arnstad, Mali A. (2020). Kan chatbots på sosiale medier få folk til å bevege seg mer? [Internet]. Forskning.no. Show summary

  Helse-chatbots har stort potensial for å få folk til å bli mer aktive, viser ny forskning.

• Wynn, Rolf; Gabarron, Elia; Johnsen, Jan-Are Kolset & Traver, Vicente (2020). Special issue on e-health services . International Journal of Environmental Research and Public Health (IJERPH). ISSN 1661-7827. 17(8). doi: 10.3390/ijerph17082885. Full text in Research Archive
• Larbi, Dillys; Antypas, Konstantinos; Bradway, Meghan; Randine, Pietro; Gabarron, Elia & Årsand, Eirik (2020). HOW TO CHOOSE AMONG THE MANY DIABETES APPS AND ONLINE RESOURCES? . Diabetes Technology & Therapeutics. ISSN 1520-9156. 22(S1).
• Gabarron, Elia & Årsand, Eirik (2020). ENGAGEMENT IN DIABETES HEALTH EDUCATION CONTENT ON FACEBOOK . Diabetes Technology & Therapeutics. ISSN 1520-9156. 22(S1).
• Bradway, Meghan; Larbi, Dillys; Randine, Pietro; Antypas, Konstantinos; Gabarron, Elia & Årsand, Eirik (2020). Intervention studies need to adapt to address patient needs for diabetes self‐management . Diabetes Technology & Therapeutics. ISSN 1520-9156. 22(S1).
• Larbi, Dillys; Bradway, Meghan; Randine, Pietro; Antypas, Konstantinos; Gabarron, Elia & Årsand, Eirik (2019). Do diabetes mHealth and online interventions evaluate what is important for users? Full text in Research Archive Show summary

  Research often presents patient needs from perceptions of healthcare professionals and researchers. Today, patients can formulate tailored questions and seek solutions for what they need to self-manage in many ways. We aimed to compare reported outcomes of mHealth and online intervention studies for diabetes selfmanagement to patient-reported needs, from a systematic review and a literature review respectively. Although we found similarities between the reported outcomes and the patient-reported needs, research has yet to meet all patient needs. Comprehensive methods for development and testing of interventions should be explored to meet the specific needs of patients.

• Gabarron, Elia; Petersen, Carolyn; Denecke, Kerstin; Merolli, Mark & Lopez-Campos, Guillermo (2019). Panel: Artificial Intelligence in participatory health and social media: Current perspectives and opportunities.
• Gabarron, Elia (2019). The Delphi study. Creating a health promotion intervention on diabetes.
• Gabarron, Elia; Smaradottir, Berglind & Årsand, Eirik (2019). Health promotion priorities for diabetes: Results of a Delphi study. Diabetes Technology & Therapeutics. ISSN 1520-9156. doi: 10.1089/dia.2019.2525.abstracts.
• Gabarron, Elia; Smaradottir, Berglind & Årsand, Eirik (2019). HEALTH PROMOTION PRIORITIES FOR DIABETES: RESULTS OF A DELPHI STUDY.
• Gabarron, Elia (2019). Twitter revealed a more positive attitude towards type 1 diabetes. [Internet]. Science Nordic.
• Gabarron, Elia (2019). Twitter avslørte en mer positiv holdning til diabetes type 1 enn type 2. [Internet]. Forskning.no.
• Gabarron, Elia & Arnstad, Mali Anette (2018). Diabetes patients want more information about research. [Internet]. ScienceNordic. Show summary

  Research shows that diabetes patients do not just want to receive information about nutrition, but are also interested in learning about research and innovation. A new project will investigate how this can be done via social media.

• Gabarron, Elia (2018). Helseråd på Facebook hjelper folk med diabetes. [Internet]. Forskning.no.
• Gabarron, Elia (2018). eSalud: Retos y necesidades actuales de los profesionales de la Salud.
• Gabarron, Elia (2018). Participatory Health and Social Media in the age of fake news.
• Gabarron, Elia (2018). Social media as enabler of health research.
• Gabarron, Elia & Fernandez-Luque, Luis (2018). The use of gamification in empowerment.
• Gabarron, Elia; Merolli, Mark; Petersen, Carolyn; Bamidis, Panagiotis D. & Martin-Sanchez, Fernando (2018). Panel: Participatory health and the future of co-created eHealth.
• Gabarron, Elia; Dorronzoro, Enrique; Rivera-Romero, Octavio & Årsand, Eirik (2018). Diabetes social media users’ preferences for a health promotion intervention.
• Gabarron, Elia (2018). Round table: Drivers and Barriers for a Paradigm Shift in Health.

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