Tag: worth

Posted on

Culturally adapting internet- and mobile-based health promotion interventions might not be worth the effort: a systematic review and meta-analysis

Culturally adapting internet- and mobile-based health promotion interventions might not be worth the effort: a systematic review and meta-analysis

  • Liu, J. J. et al. Adapting health promotion interventions to meet the needs of ethnic minority groups: Mixed-methods evidence synthesis. Health Technology Assessment https://doi.org/10.3310/hta16440 (2012).

  • Cerf, M. E. Healthy lifestyles and noncommunicable diseases: nutrition, the life‐course, and health promotion. Lifestyle Med. 2, 1–12 (2021).


    Google Scholar     

  • Preston, S. H., Stokes, A., Mehta, N. K. & Cao, B. Projecting the effect of changes in smoking and obesity on future life expectancy in the United States. Demography 51, 27–49 (2014).

    PubMed 

    Google Scholar     

  • World Health Organization. Sexual Health and its Linkages to Reproductive Health: an Operational Approach 1–12 (World Health Organization, 2017).

  • Di Cesare, M. et al. Inequalities in non-communicable diseases and effective responses. Lancet 381, 585–597 (2013).

    PubMed 

    Google Scholar     

  • World Health Organization. Global Status Report On Noncommunicable Diseases 2014 (World Health Organization, 2014).

  • World Health Organization. 2008-2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases (World Health Organization, 2013).

  • Friel, S. & Marmot, M. G. Action on the Social determinants of health and health inequities goes global. Annu. Rev. Public Health. https://doi.org/10.1146/annurev-publhealth-031210-101220 (2011).

  • Muñoz, R. F. Using evidence-based Internet interventions to reduce health disparities worldwide. J. Med. Internet Res. 12, 1–10 (2010).


    Google Scholar     

  • Head, K. J., Noar, S. M., Iannarino, N. T. & Grant Harrington, N. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc. Sci. Med. 97, 41–48 (2013).

    PubMed 

    Google Scholar     

  • Fiedler, J., Eckert, T., Wunsch, K. & Woll, A. Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects—an umbrella review. BMC Public Health 20, 1–21 (2020).


    Google Scholar     

  • Müller, A. M. et al. Physical activity, sedentary behavior, and diet-related ehealth and mhealth research: Bibliometric analysis. J. Med. Internet Res. 20, e122 (2018).

  • Do, H. P. et al. Which eHealth interventions are most effective for smoking cessation? A systematic review. Patient Prefer. Adherence 12, 2065–2084 (2018).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Webb, T. L., Joseph, J., Yardley, L. & Michie, S. Using the Internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J. Med. Internet Res. 12, 1–18 (2010).


    Google Scholar     

  • Muñoz, R. F. et al. Massive open online interventions: a novel model for delivering behavioral- health services worldwide. Clin. Psychol. Sci. 4, 194–205 (2016).


    Google Scholar     

  • Vandelanotte, C. et al. Past, present, and future of ehealth and mhealth research to improve physical activity and dietary behaviors. J. Nutr. Educ. Behav. 48, 219–228.e1 (2016).

    PubMed 

    Google Scholar     

  • Jiang, X., Ming, W. K. & You, J. H. S. The cost-effectiveness of digital health interventions on the management of cardiovascular diseases: systematic review. J. Med. Internet Res. 21, 1–11 (2019).


    Google Scholar     

  • Elbert, N. J. et al. Effectiveness and cost-effectiveness of ehealth interventions in somatic diseases: a systematic review of systematic reviews and meta-analyses. J. Med. Internet Res. 16, 1–23 (2014).


    Google Scholar     

  • Henrich, J., Heine, S. J. & Norenzayan, A. Beyond WEIRD: towards a broad-based behavioral science. Behav. Brain Sci. 33, 111–135 (2010).


    Google Scholar     

  • Lin, J., Faust, B., Ebert, D. D., Krämer, L. & Baumeister, H. A web-based acceptance-facilitating intervention for identifying patients’ acceptance, uptake, and adherence of internet- and mobile-based pain interventions: randomized controlled trial. J. Med. Internet Res. 20, e244 (2018).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Baumeister, H. et al. Impact of an acceptance facilitating intervention on diabetes patients’ acceptance of Internet-based interventions for depression: a randomized controlled trial. Diabetes Res. Clin. Pract. 105, 30–39 (2014).

    CAS 
    PubMed 

    Google Scholar     

  • Armaou, M., Araviaki, E. & Musikanski, L. eHealth and mHealth interventions for ethnic minority and historically underserved populations in developed countries: an umbrella review. Int. J. Community Well-Being 3, 193–221 (2020).


    Google Scholar     

  • Clauss-Ehlers, C. S., Chiriboga, D. A., Hunter, S. J., Roysircar, G. & Tummala-Narra, P. APA multicultural guidelines executive summary: ecological approach to context, identity, and intersectionality. Am. Psychol. 74, 232–244 (2019).

    PubMed 

    Google Scholar     

  • Lewis, J. A., Williams, M. G., Peppers, E. J. & Gadson, C. A. Applying intersectionality to explore the relations between gendered racism and health among black women. J. Couns. Psychol. 64, 475–486 (2017).

    PubMed 

    Google Scholar     

  • World Health Organization. Promoting health in the SDGs. Report on 9th Global Conference on Health Promotion 1–37 (World Health Organization, 2016).

  • Barrera, M., Castro, F. G. & Steiker, L. K. H. A critical analysis of approaches to the development of preventive interventions for subcultural groups. Am. J. Community Psychol. 48, 439–454 (2011).

    PubMed 

    Google Scholar     

  • Bernal, G., Jiménez-Chafey, M. I., & Domenech Rodríguez, M. M. & Domenech Rodríguez Cultural adaptation of treatments: a resource for considering culture in evidence-based practice. Prof. Psychol. Res. Pract. 40, 361–368 (2009).


    Google Scholar     

  • Resnicow, K., Soler, R., Braithwaite, R. L., Ahluwalia, J. S. & Butler, J. Cultural sensitivity in substance use prevention. J. Community Psychol. 28, 271–290 (2000).

  • Cardemil, E. Cultural adaptations to empirically supported treatments: a research agenda. Sci. Rev. Ment. Heal. Pract. 7, 8–21 (2010).

  • Liu, J. J. et al. Smoking cessation interventions for ethnic minority groups—a systematic review of adapted interventions. Prev. Med. (Balt.). 57, 765–775 (2013).


    Google Scholar     

  • Nierkens, V. et al. Effectiveness of cultural adaptations of interventions aimed at smoking cessation, diet, and/or physical activity in ethnic minorities. a systematic review. PLoS ONE https://doi.org/10.1371/journal.pone.0073373 (2013).

  • Lambert, S. et al. The effect of culturally-adapted health education interventions among culturally and linguistically diverse (CALD) patients with a chronic illness: a meta-analysis and descriptive systematic review. Patient Educ. Couns. https://doi.org/10.1016/j.pec.2021.01.023 (2021).

  • Staffileno, B. A. B. A., Tangney, C. C. C. C. & Fogg, L. Favorable outcomes using an eHealth approach to promote physical activity and nutrition among young African American women. J. Cardiovasc. Nurs. 33, 62–71 (2018).

    PubMed 

    Google Scholar     

  • Anderson-Lewis, C., Darville, G., Mercado, R. E., Howell, S. & Di Maggio, S. mHealth technology use and implications in historically underserved and minority populations in the united states: Systematic literature review. JMIR mHealth uHealth 6, e128 (2018).

  • Montague, E. & Perchonok, J. Health and wellness technology use by historically underserved health consumers: Systematic review. J. Med. Internet Res. 14, e78 (2012).

  • Bennett, G. G. et al. Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: a systematic review. Obes. Rev. 15, 146–158 (2014).

    PubMed 

    Google Scholar     

  • Augustson, E. et al. Text to quit China: an mHealth smoking cessation. Trial Am. J. Health Promot. 31, 217–225 (2017).

    PubMed 

    Google Scholar     

  • Bender, M. S., Cooper, B. A., Park, L. G., Padash, S. & Arai, S. A feasible and efficacious mobile-phone based lifestyle intervention for Filipino Americans with type 2 diabetes: randomized controlled trial. JMIR Diabetes 2, e30 (2017).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Bowen, D. J., Henderson, P. N., Harvill, J. & Buchwald, D. Short-term effects of a smoking prevention website in American Indian youth. J. Med. Internet Res. 14, e81 (2012).

  • Brito Beck Da Silva, K. et al. Evaluation of the computer-based intervention program stayingfit Brazil to promote healthy eating habits: The results from a school cluster-randomized controlled trial. Int. J. Environ. Res. Public Health 16, 1–18 (2019).


    Google Scholar     

  • Cruvinel, E., Richter, K. P., Colugnati, F. & Ronzani, T. M. An experimental feasibility study of a hybrid telephone counseling/text messaging intervention for post-discharge cessation support among hospitalized smokers in Brazil. Nicotine Tob. Res. 21, 1700–1705 (2019).

    PubMed 

    Google Scholar     

  • Duan, Y. P., Wienert, J., Hu, C., Si, G. Y. & Lippke, S. Web-based intervention for physical activity and fruit and vegetable intake among Chinese university students: a randomized controlled trial. J. Med. Internet Res. 19, 1–15 (2017).


    Google Scholar     

  • Fortmann, A. L. et al. Dulce digital: An mHealth SMS based intervention improves glycemic control in hispanics with type 2 diabetes. Diabetes Care 40, 1349–1355 (2017).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Kurth, A. E. et al. Linguistic and cultural adaptation of a computer-based counseling program (CARE+ Spanish) to support HIV treatment adherence and risk reduction for people living with HIV/AIDS: a randomized controlled trial. J. Med. Internet Res. 18, e195 (2016).

  • Larsen, B. A. et al. Randomized trial of a physical activity intervention for Latino Men: Activo. Am. J. Prev. Med. 59, 219–227 (2020).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Lau, P. W. C., Pitkethly, A. J., Leung, B. W. C., Lau, E. Y. & Wang, J. J. The intervention effect of SMS delivery on chinese adolescent’s physical activity. Int. J. Environ. Res. Public Health 16, 1–12 (2019).


    Google Scholar     

  • Marcus, B. H. et al. Pasos Hacia La Salud: a randomized controlled trial of an internet-delivered physical activity intervention for Latinas. Int. J. Behav. Nutr. Phys. Act. 13, 62 (2016).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Montag, A. C. et al. Preventing alcohol-exposed pregnancy among an american indian/alaska native population: effect of a screening, brief intervention, and referral to treatment intervention. Alcohol. Clin. Exp. Res. 39, 126–135 (2015).

    PubMed 

    Google Scholar     

  • Peiris, D. et al. A smartphone app to assist smoking cessation among aboriginal australians: findings from a pilot randomized controlled trial. JMIR mHealth uHealth 7, e12745 (2019).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Rothstein, H. R., Sutton, A. J. & Borenstein, M. Publication Bias in Meta-Analyses: Prevention, Assessment and Adjustments (John Wiley & Sons, 2005).

  • Rathod, S. et al. The current status of culturally adapted mental health interventions: a practice-focused review of meta-analyses. Neuropsychiatr. Dis. Treat. 14, 165–178 (2018).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Harper Shehadeh, M., Maercker, A., Heim, E., Chowdhary, N. & Albanese, E. Cultural adaptation of minimally guided interventions for common mental disorders: a systematic review and meta-analysis. JMIR Ment. Heal 3, e44 (2016).


    Google Scholar     

  • Lustria, M. L. A. et al. A meta-analysis of web-delivered tailored health behavior change interventions. J. Health Commun. https://doi.org/10.1080/10810730.2013.768727 (2013).

  • Van Loon, A., Van Schaik, A., Dekker, J. & Beekman, A. Bridging the gap for ethnic minority adult outpatients with depression and anxiety disorders by culturally adapted treatments. J. Affect. Disord. 147, 9–16 (2013).

    PubMed 

    Google Scholar     

  • Whittaker, R. et al. Mobile phone text messaging and app‐based interventions for smoking cessation. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.CD006611.pub5 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar     

  • Myung, S.-K., McDonnell, D. D., Kazinets, G., Seo, H. G. & Moskowitz, J. M. Effects of web- and computer-based smoking cessation programs. Arch. Intern. Med. https://doi.org/10.1001/archinternmed.2009.109 (2009).

  • Joiner, K. L., Nam, S. & Whittemore, R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: a systematic review and meta-analysis. Prev. Med. (Balt.). 100, 194–207 (2017).


    Google Scholar     

  • Rodriguez Rocha, N. P. & Kim, H. eHealth interventions for fruit and vegetable intake: a meta-analysis of effectiveness. Heal. Educ. Behav. 46, 947–959 (2019).


    Google Scholar     

  • Kelly, J. T., Reidlinger, D. P., Hoffmann, T. C. & Campbell, K. L. Telehealth methods to deliver dietary interventions in adults with chronic disease: a systematic review and meta-analysis1,2. Am. J. Clin. Nutr. 104, 1693–1702 (2016).

    CAS 
    PubMed 

    Google Scholar     

  • Hutchesson, M. J. et al. eHealth interventions for the prevention and treatment of overweight and obesity in adults: A systematic review with meta-analysis. Obes. Rev. 16, 376–392 (2015).

    CAS 
    PubMed 

    Google Scholar     

  • Bailey, J. V. et al. Interactive computer-based interventions for sexual health promotion. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.cd006483.pub2 (2010).

  • Noar, S. M., Black, H. G. & Pierce, L. B. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. Aids 23, 107–115 (2009).

    PubMed 

    Google Scholar     

  • Cunningham, J. A., Kypri, K. & McCambridge, J. Exploratory randomized controlled trial evaluating the impact of a waiting list control design. BMC Med. Res. Methodol. 13, 150 (2013).

  • Graham, A. et al. Systematic review and meta-analysis of Internet interventions for smoking cessation among adults. Subst. Abuse Rehabil. 55. https://doi.org/10.2147/sar.s101660 (2016).

  • Bernal, G. & Sáez-Santiago, E. Culturally centered psychosocial interventions. J. Community Psychol. 34, 121–132 (2006).


    Google Scholar     

  • Salamanca-Sanabria, A., Richards, D. & Timulak, L. Adapting an internet-delivered intervention for depression for a Colombian college student population: an illustration of an integrative empirical approach. Internet Inter. 15, 76–86 (2019).


    Google Scholar     

  • Spanhel, K. et al. Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review. npj Digit. Med. https://doi.org/10.1038/s41746-021-00498-1 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar     

  • Domhardt, M. et al. Therapeutic processes in digital interventions for anxiety: a systematic review and meta-analytic structural equation modeling of randomized controlled trials. Clin. Psychol. Rev. 90, 102084 (2021).

    PubMed 

    Google Scholar     

  • Domhardt, M., Cuijpers, P., Ebert, D. D. & Baumeister, H. More light? opportunities and pitfalls in digitalized psychotherapy process research. Front. Psychol. 12, 1–5 (2021).


    Google Scholar     

  • Kazdin, A. E. Mediators and mechanisms of change in psychotherapy research. Annu. Rev. Clin. Psychol. 3, 1–27 (2007).

    PubMed 

    Google Scholar     

  • Domhardt, M. et al. Mediators and mechanisms of change in internet- and mobile-based interventions for depression: a systematic review. Clin. Psychol. Rev. 83, 101953 (2021).

    PubMed 

    Google Scholar     

  • Rad, M. S., Martingano, A. J. & Ginges, J. Toward a psychology of Homo sapiens: Making psychological science more representative of the human population. Proc. Natl Acad. Sci. USA 115, 11401–11405 (2018).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar     

  • Gone, J. P. A community-based treatment for Native American historical trauma: prospects for evidence-based practice. J. Consult. Clin. Psychol. 77, 751–762 (2009).

    PubMed 

    Google Scholar     

  • Nagayama Hall, G. C., Yip, T. & Zárate, M. A. On becoming multicultural in a monocultural research world: a conceptual approach to studying ethnocultural diversity. Am. Psychol. 71, 40–51 (2016).


    Google Scholar     

  • Bernal, G. & Adames, C. Cultural adaptations: conceptual, ethical, contextual, and methodological issues for working with ethnocultural and majority-world populations. Prev. Sci. 18, 681–688 (2017).

    PubMed 

    Google Scholar     

  • Castro, F. G., Barrera, M. & Holleran Steiker, L. K. Issues and challenges in the design of culturally adapted evidence-based interventions. Ssrn https://doi.org/10.1146/annurev-clinpsy-033109-132032 (2010).

  • Warne, D. & Wescott, S. Social determinants of American Indian Nutritional Health. Curr. Dev. Nutr. https://doi.org/10.1093/cdn/nzz054 (2019).

  • Abaza, H. & Marschollek, M. mHealth application areas and technology combinations. Methods Inf. Med. 56, e105–e122 (2017).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Hall, C. S., Fottrell, E., Wilkinson, S. & Byass, P. Assessing the impact of mHealth interventions in low- and middle-income countries—what has been shown to work? Glob. Health Action 7, 25606 (2014).

  • Kruse, C. et al. Barriers to the use of mobile health in improving health outcomes in developing countries: Systematic review. J. Med. Internet Res. 21, 1–13 (2019).


    Google Scholar     

  • Weisel, K. K. et al. Standalone smartphone apps for mental health—a systematic review and meta-analysis. npj Digit. Med. 2, 1–10 (2019).


    Google Scholar     

  • Bendig, E. et al. Internet-based interventions in chronic somatic disease. Dtsch. Arztebl. Int. 115, 659–665 (2018).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Ebert, D. D. et al. Internet- and mobile-based psychological interventions: applications, efficacy, and potential for improving mental health. Eur. Psychol. 23, 167–187 (2018).


    Google Scholar     

  • Tsetsi, E. & Rains, S. A. Smartphone Internet access and use: extending the digital divide and usage gap. Mob. Media Commun. 5, 239–255 (2017).


    Google Scholar     

  • Baumeister, H., Reichler, L., Munzinger, M. & Lin, J. The impact of guidance on Internet-based mental health interventions – A systematic review. Internet Inter. 1, 205–215 (2014).


    Google Scholar     

  • Arsenijevic, J., Tummers, L. & Bosma, N. Adherence to electronic health tools among vulnerable groups: Systematic literature review and meta-analysis. J. Med. Internet Res. 22, e11613 (2020).

  • Aranda-Jan, C. B., Mohutsiwa-Dibe, N. & Loukanova, S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health 14, 1–15 (2014).


    Google Scholar     

  • James, D. C., Harville, C., Sears, C., Efunbumi, O. & Bondoc, I. Participation of African Americans in e-Health and m-Health studies: a systematic review. Telemed. e-Health 23, 351–364 (2017).


    Google Scholar     

  • Hwang, D. S. A., Lee, A., Song, J. M. & Han, H. R. Recruitment and retention strategies among racial and ethnic minorities in web-based intervention trials: retrospective qualitative analysis. J. Med. Internet Res. 23, e23959 (2021).

  • Callier, S. & Fullerton, S. M. Diversity and inclusion in unregulated mHealth research: addressing the risks. J. Law Med. Ethics 48, 115–121 (2020).

    PubMed 

    Google Scholar     

  • Druce, K. L., Dixon, W. G. & McBeth, J. Maximizing engagement in mobile health studies: lessons learned and future directions. Rheum. Dis. Clin. North Am. 45, 159–172 (2019).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Moher, D., Liberati, A., Tetzlaff, J. & Altman, D. G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ 339, 332–336 (2009).


    Google Scholar     

  • Balci, S., Spanhel, K., Sander, L. & Baumeister, H. Protocol for a systematic review and meta-analysis of culturally adapted internet- And mobile-based health promotion interventions. BMJ Open https://doi.org/10.1136/bmjopen-2020-037698 (2020).

  • Spanhel, K., Balci, S., Baumeister, H., Bengel, J. & Sander, L. B. Cultural adaptation of Internet- and mobile-based interventions for mental disorders: a systematic review protocol. Syst. Rev. 9, 207 (2020).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Babineau, J. Product Review: Covidence (Systematic Review Software). J. Can. Heal. Libr. Assoc./J. l’Association bibliothèques la St.é du Can. 35, 68 (2014).


    Google Scholar     

  • Sterne, J. A. C. et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ https://doi.org/10.1136/bmj.l4898 (2019).

  • Higgins JPT et al. (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. (The Cochrane Collaboration, 2011). Available at: www.handbook.cochrane.org.

  • Fritz, C. O., Morris, P. E. & Richler, J. J. Effect size estimates: current use, calculations, and interpretation. J. Exp. Psychol. Gen. 141, 2–18 (2012).

    PubMed 

    Google Scholar     

  • Tufanaru, C., Munn, Z., Stephenson, M. & Aromataris, E. Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness. Int. J. Evid. Based Health. 13, 196–207 (2015).


    Google Scholar     

  • Balduzzi, S., Rücker, G. & Schwarzer, G. How to perform a meta-analysis with R: a practical tutorial. Evid. Based Ment. Health 22, 153–160 (2019).

    PubMed 

    Google Scholar     

  • Harrer, M., Cuijpers, P. & Ebert, D. Doing meta-analysis in R. https://doi.org/10.5281/ZENODO.2551803 (2019).

  • The Nordic Cochrane Centre. Review Manager (RevMan) (The Cochrane Collaboration, 2014).

  • Viechtbauer, W. Conducting meta-analyses in R with the metafor. J. Stat. Softw. 36, 1–48 (2010).


    Google Scholar     

  • Cohen, J. Statistical Power Analysis for the Behavioural Science 2nd edn. (Erlbaum Associate, 1988).

  • Higgins, J. P. T. & Thompson, S. G. Quantifying heterogeneity in a meta-analysis. Stat. Med. https://doi.org/10.1002/sim.1186 (2002).

  • Card, N. A. Applied Meta-Analysis for Social Science Research. (Guilford, 2011).

  • Bender, M. S. & Clark, M. J. Cultural adaptation for ethnic diversity: a review of obesity interventions for preschool children. Calif. J. Health Promot 9, 40 (2011).

    PubMed 
    PubMed Central 

    Google Scholar     

  • Barrera, M., Castro, F. G., Strycker, L. & Toobert, D. Cultural adaptations of behavioral health interventions: a progress report. J. Consult. Clin. Psychol. 81, 196–205 (2013).

    PubMed 

    Google Scholar     

  • Castro, Y. et al. Adaptation of a counseling intervention to address multiple cancer risk factors among overweight/obese latino smokers. Heal. Educ. Behav. 42, 65–72 (2015).


    Google Scholar     

  • Philis-Tsimikas, A. et al. Improvement in diabetes care of underinsured patients enrolled in Project Dulce: A community-based, culturally appropriate, nurse case management and peer education diabetes care model. Diabetes Care 27, 110–115 (2004).

    PubMed 

    Google Scholar     

    • Posted on

    Game-Based Learning Market worth $29.7 billion by 2026

    CHICAGO, Jan. 18, 2022 /PRNewswire/ — In accordance to a new market place analysis report “Sport-Centered Discovering Market place with COVID-19 Effect, by Ingredient (Resolution and Providers), Recreation Form, Deployment Method (On-premises and Cloud), Close Person (Instruction, Governments, Individuals, and Enterprises) and Area – International Forecast to 2026″, published by MarketsandMarkets™, the Video game-Primarily based Learning Marketplace size is anticipated to expand from USD 11. billion in 2021 to USD 29.7 billion by 2026, at a Compound Once-a-year Advancement Charge (CAGR) of 21.9{e4f787673fbda589a16c4acddca5ba6fa1cbf0bc0eb53f36e5f8309f6ee846cf} throughout the forecast period of time.

    Activity-based mostly learnings, such as AR VR games, AI-dependent game titles, Location-based mostly online games, Assessment and Analysis online games, Teaching, Information and Skill-dependent video games, Language discovering video games build modules, assessments, quizzes for the subjects of math, physics, chemistry, etc. organizations are making use of these game-primarily based studying methods mainly because of ease of discovering, dilemma-fixing, time conserving, cost-effectiveness, and demand from customers in finding out for rapid comments on overall performance. This understanding platform is utilised to discover any topic, in any game, in any language, on any device for all ages.

    Look through in-depth TOC on “Activity-Centered Learning Sector“

    175 – Tables
    53 – Figures
    202 – Internet pages

    Request for Report Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=146337112

    Coaching, awareness, and ability-dependent games segment is approximated to have the major market place measurement throughout the forecast period of time

    The training sector is using know-how-based quizzes on personal computers to analyze the skill of know-how of each individual pupil. Some skill-centered games involve Ludo, Contact Crack, Fantasy Cricket, Rummy, Bingo Recreation these game titles have expanded their customers in the sector. Gambling and talent-based mostly actual cash gaming are two distinct ball online games. Online skill game titles can make any individual win authentic income. Platforms, such as AIO Video games, is a trustworthy system where by a single gets a probability to enjoy several gaming to gain hard cash under just one umbrella.

    The enterprises segment is adopting video game-centered finding out at the optimum price

    There has been an boost in the usage of progressive technologies amid people with the widespread adoption of online, digital technological innovation, and cloud. Also, organizations are also adopting remedy to enrich the productivity of employees. Organizations throughout all the marketplace verticals use many solution so that their workforce and clients can function and carry out far better alongside with enhanced interaction and sharing, among several departments of an firm. Primarily based on enterprises, the Game-Dependent Mastering Current market has been segmented into BFSI, manufacturing, healthcare and life sciences, IT and telecommunications, customer items and retails and some others.

    The education and learning phase is envisioned to maintain the most significant sector share

    Recreation-centered finding out is an progressive method that employs computer system online games which features educational price applying different varieties of program programs to do well educating improvement, assessment, and analysis of learners. In education, game-dependent mastering is made use of in the flashcard form games such as duel, simulation activity (plantville), interactives (Funbrain), quiz game titles (kahoot), puzzles (crossword), technique games (Europa universals), and fact testing game titles (chemistry VR). The GBL platform is employed by instructional intuitions, companies, and moms and dads, as a technique to flip understanding into entertainment.

    Speak to Exploration Professional: https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=146337112

    North The united states to dominate the Video game-Based Mastering Marketplace in 2021

    North America has been an exceptionally open and competitive current market in terms of the adoption of the match-primarily based discovering alternative across finish customers. It is the topmost location in adopting primarily based learning solution. It has been extremely responsive towards adopting the most recent technological progress, this kind of as integration technologies with AI, cloud, and mobile systems in conventional-primarily based learning resolution. The major advancement driver for this area is the arduous federal government expectations and laws framed for various industries.

    The Match-Primarily based Understanding Industry is dominated by organizations this sort of as Kahoot (Norway) Frontier Developments (United kingdom), Minecraft (Sweden), Spin Master (Canada), Bublar Group (Sweden), BreakAway video games (US), Gamelearn (Spain), Recurrence (US), Schell Games (US), Stratbeans (India), Tangible Enjoy (US), Simulearn (US), Playgen (United kingdom), Raptivity (US), Banzai Labs (US), Cognitive Toybox (US), Fundamentor (India), Idnusgeeks (India), Kuato Studios (Uk), Monkimun (US), Smart Lumies (US), G-Dice (India), Hornbill Forex (India), Infinite Desires (Poland), Layup (Sri Lanka), MLevel (US), Quodeck (India), Threatgen (US), Gametize (Singapore), Sweetrush (US), Kidoz, (US) and VR Training Holdings (Eire).

    Browse Adjacent Markets: Mobility and Telecom Current market Investigate Reports & Consulting

    Similar Reviews:

    EdTech and Intelligent Classroom Market by Hardware (Interactive Shows, Interactive Projectors), Procedure (LMS, SIS, TMS), Know-how (Gamification, Analytics, State-of-the-art Technological know-how), and Area – International Forecast to 2025

    Gamification Market by Element (Remedy and Providers), Deployment (Cloud and On-premises), Corporation Sizing (SMEs and Massive Enterprises), Software, Conclusion-Person (Company-Driven and Shopper-Driven), Vertical, and Area – International Forecast to 2025

    About MarketsandMarkets™ 

    MarketsandMarkets™ provides quantified B2B study on 30,000 high advancement area of interest possibilities/threats which will impact 70{e4f787673fbda589a16c4acddca5ba6fa1cbf0bc0eb53f36e5f8309f6ee846cf} to 80{e4f787673fbda589a16c4acddca5ba6fa1cbf0bc0eb53f36e5f8309f6ee846cf} of all over the world companies’ revenues. Currently servicing 7500 buyers around the globe which includes 80{e4f787673fbda589a16c4acddca5ba6fa1cbf0bc0eb53f36e5f8309f6ee846cf} of global Fortune 1000 providers as consumers. Almost 75,000 best officers across eight industries around the globe strategy MarketsandMarkets™ for their painpoints all-around revenues selections.

    Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking international large advancement marketplaces adhering to the “Progress Engagement Product – GEM”. The GEM aims at proactive collaboration with the shoppers to determine new possibilities, detect most significant shoppers, create “Assault, avoid and defend” procedures, discover resources of incremental revenues for the two the company and its opponents. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning best players across leaders, rising providers, innovators, strategic players) on a yearly basis in superior advancement emerging segments. MarketsandMarkets™ is decided to reward much more than 10,000 firms this calendar year for their income preparing and support them consider their improvements/disruptions early to the market by supplying them investigate ahead of the curve.

    MarketsandMarkets’s flagship competitive intelligence and market investigation platform, “Knowledge Retail outlet” connects around 200,000 marketplaces and full worth chains for deeper comprehension of the unmet insights alongside with sector sizing and forecasts of niche marketplaces.

    Call:

    Mr. Aashish Mehra
    MarketsandMarkets™ INC.
    630 Dundee Street
    Suite 430
    Northbrook, IL 60062
    United states: +1-888-600-6441
    Electronic mail: [email protected]
    Exploration Perception: https://www.marketsandmarkets.com/ResearchInsight/sport-based-finding out-current market.asp
    Pay a visit to Our Site: https://www.marketsandmarkets.com 
    Articles Resource: https://www.marketsandmarkets.com/PressReleases/video game-dependent-studying.asp

    Supply MarketsandMarkets

    Posted on

    Online education: Is it worth it? (column) | Local Voices

    Ninety-three per cent of houses with faculty-age little ones described using on the internet resources or on the web schooling during the first phase of the pandemic, according to a U.S. Census Bureau survey in the summer months of 2020. How did these family members deal with the strain of schooling that occurred outside the house of school? Is the sacrifice of the comparative ease that arrives with learning in school well worth the safety from the threat of COVID-19? 

    This is a sore matter for numerous mom and dad and college students who vary on their views of what practices to continue to keep, which types to forgo and what new concepts to use. According to psychological, academic and social study relating to college students, lecturers and dad and mom, the added benefits of in-school understanding much outweigh the sacrifices that occur with training by means of the online.

    Very first, there is the challenge of accessibility. For reduce-revenue families, on the internet schooling necessitates technological know-how and world-wide-web access that could be challenging to achieve. Moreover, for a lot of folks, the assets can be difficult to fully grasp and use, resulting in significantly less effective education. This overreliance on technologies in schooling can make it challenging for reduced-revenue households to present their young children with the means they require, which can final result in the curriculum being shortened or shortchanged.

    In addition, some crucial discovering strategies and skills might not be accessible or as basic when place into use online. Particular courses involve obtain to materials accessed in the university developing, these types of as physical instruction, science labs, languages and public talking. These topics are taught and realized much more simply in man or woman. A different cause on the net schooling can be tough is the amount of time administration and target required without having supervision, the lack of which can consequence in a lot less get the job done finished and recognized, and at some point in decreased grades. 

    Significant in deal with-to-facial area studying is the use of an teacher-paced curriculum. In on line environments, college students often are specified the opportunity to choose their very own pace and may possibly drop driving if there is no one to preserve them accountable. Another location wherever accountability is essential is in the course of examinations, tests and quizzes. With effortless accessibility to the world wide web and other solutions of dishonest, a decline of a proctor can lead to devastating success.

    Another thing to look at is the long lasting effects of psychological anxiety and absence of obtain to every day psychological guidance. On the internet studying can final result in long strings of dates and assignments to hold monitor of, leading to nervousness all through the school day. Staying in entrance of a camera can be troubling for some learners for psychological good reasons.

    Nevertheless, the significant reduction that comes with getting on line is the absence of social conversation. On a usual faculty day, learners can continuously interact and get suggestions from their peers. This is not usually readily available on the net. One more psychological draw back is the continuous use of a screen. Impoverished stimulation of the even now-developing student brain takes place when in speak to with a monitor, in contrast to accurate stimulation of the neural connections. Screens can produce additional tiredness than ordinary, resulting in considerably less than exemplary overall performance. Eventually, screens release a blue light that can decrease melatonin concentrations that assist to regulate snooze.

    Some may disagree and may claim that basic safety and safety from today’s COVID-19 wellness disaster is really worth all the downsides that occur with online mastering. But if in-human being education is performed safely, pupils may possibly practical experience the rewards of in-person training. 

    Even so, mask mandates can be troubling. Colossians 3:20 states: “Children, obey your moms and dads in every thing, for this pleases the Lord.” The Bible obviously offers the father and mother of a relatives authority more than their small children. I believe that parents must be able to make decisions for their children about masking and social distancing based on the doctrine of parental jurisdiction. Is the promised “extra” protection from COVID-19 value forfeiting our God-presented rights?

    There are many motives to guidance in-university learning in a working day and age exactly where security protocols are mainly debated, which include prolonged accessibility, relieve of discovering and avoidance of the psychological outcomes that consequence from finding out on line. As both of those Us citizens and Christians, we ought to help this basic stance on education so that the educational future of our region can continue being vivid.

    Alexander Hussar is in the 10th quality at Dayspring Christian Academy.