Volume 10, Issue 3 (2022)                   Health Educ Health Promot 2022, 10(3): 517-523 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mirzaei-Alavijeh M, Motlagh Z, Jalilian F, Pirouzeh R, Karimi N, Khashij S et al . Efficacy Evaluation of Youth Health Application Program in Promotion of Students' Communication Skills: mHealth Approach Intervention. Health Educ Health Promot 2022; 10 (3) :517-523
URL: http://hehp.modares.ac.ir/article-5-56559-en.html
1- Social Development & Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Technology Affairs Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Sleep Disorders Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Department of Pediatrics, Faculty Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Abstract:   (1477 Views)
Aims: Today, it is essential that new technologies such as smartphones and their tools, such as applications, be considered in the design of health interventions. The purpose of this study was to determine the efficiency of educational intervention in promoting communication skills among students using the mHealth approach based on the theory of planned behavior.
Material & Methods: We conducted a quasi-experimental intervention study among 160 university students at Kermanshah University of Medical Sciences in 2020. Data were measured using a self-report questionnaire based on the theory of planned behavior constructs. Results were measured at the beginning and two months after the intervention. Data were analyzed by SPSS 16 using Chi-square, independent samples t-test, and paired sample t-test.
Findings: The mean age of students was 21.88±2.51 years old. Our findings showed the efficiency of the intervention in increasing the scores of attitude (32.05 increased to 32.76; p=0.005), subjective norms (12.19 increased to 12.40; P=0.038), and behavioral intention (10.32 increased to 11.95; p<0.001) towards learning communication skills in the intervention group. Also, the estimated effect sizes for attitude, subjective norms, and intention were 0.48, 0.23, and 0.72, respectively.
Conclusion: We have shown that the tested mHealth program has been effective in promoting attitudes, subjective norms, and intentions to learn communication skills. Given the availability of this technology, it seems that it can lead to useful findings in promoting youth health.
 
Full-Text [PDF 890 kb]   (1575 Downloads) |   |   Full-Text (HTML)  (251 Views)  
Article Type: Original Research | Subject: Health Communication
Received: 2021/10/21 | Accepted: 2022/04/22 | Published: 2022/07/13
* Corresponding Author Address: Faculty Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. (dr.motlagh.ms@gmail.com)

References
1. Sari MI, Prabandari YS, Claramita M. Physicians' professionalism at primary care facilities from patients' perspective: the importance of doctors' communication skills. J Fam Med Prim Care. 2016;5(1):56-60. [Link] [DOI:10.4103/2249-4863.184624]
2. Taveira-Gomes I, Mota-Cardoso R, Figueiredo-Braga M. Communication skills in medical students-An exploratory study before and after clerkships. Porto Biomed J. 2016;1(5):173-80. [Link] [DOI:10.1016/j.pbj.2016.08.002]
3. Amini R, Soleimani F, Mohammadi N, Tapak L. Relationship between communication skills and general health in nursing students of Hamadan University of Medical Sciences. J Educ Community Health. 2018;5(2):36-44. [Link] [DOI:10.21859/jech.5.2.36]
4. Moeini B, Karimi Shahanjarini A, Soltanian A, Valipour-Matlabi Z. The effect of communication skills training on females referred to health centers in Bahar; Applying the social support theory for increasing marital satisfaction among couples. J Educ Community Health. 2016;3(3):9-16. [Link] [DOI:10.21859/jech-03032]
5. Smith S, Adam D, Kirkpatrick P, McRobie G. Using solution-focused communication to support patients. Nurs Stand. 2011;31;25(52):42. [Link] [DOI:10.7748/ns2011.08.25.52.42.c8675]
6. Wand T. Mental health nursing from a solution focused perspective. Int J Ment Health Nurs. 2010;19(3):210-9. [Link] [DOI:10.1111/j.1447-0349.2009.00659.x]
7. Mirzaei- Alavijeh M, Motlagh M, Hosseini S, Jalilian F. Nursing students communication skills with patients in Kermanshah University of Medical Sciences. Res Mes Educ. 2017;9(3):47-54. [Persian] [Link] [DOI:10.29252/rme.9.3.54]
8. Hamidi Y, Barati M Communication skills of heads of departments: verbal, listening, and feedback skills. J Res Health Sci. 2011;11(2):91-6. [Persian] [Link]
9. Nouri N, Moeini B, Karimi-Shahanjarini A, Faradmal J, Ghaleiha A, Asnaashari M. Relationship between emotional intelligence and communication skills among high school students in Hamadan based on the theory of social support. J Educ Community Health. 2014;1(3):38-46. [Link] [DOI:10.20286/jech-010345]
10. Eldredge LK, Markham CM, Ruiter RA, Fernández ME, Kok G, Parcel GS. Planning health promotion programs: an intervention mapping approach. Hoboken: John Wiley & Sons; 2016. [Link]
11. Ajzen I. The theory of planned behavior. Organiz Behav Human Decision Process. 1991;50(2):179-211. [Link] [DOI:10.1016/0749-5978(91)90020-T]
12. Noar SM, Webb EM, van Stee SK, Redding CA, Feist-Price S, Crosby R, et al. Using computer technology for HIV prevention among African-Americans: development of a tailored information program for safer sex (TIPSS). Health Educ Res. 2011;26(3):393-406. [Link] [DOI:10.1093/her/cyq079]
13. Mayo-Wilson E. Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis. Psychol Med. 2007;37(8):1211. [Link]
14. Gega L, Marks I, Mataix-Cols D. Computer-aided CBT self-help for anxiety and depressive disorders: Experience of a London clinic and future directions. J Clin Psychol. 2004;60(2):147-57. [Link] [DOI:10.1002/jclp.10241]
15. Rhodes SD, Bowie DA, Hergenrather KC. Collecting behavioural data using the world wide web: considerations for researchers. J Epidemiol Community Health. 2003;57(1):68-73. [Link] [DOI:10.1136/jech.57.1.68]
16. Skårderud F. Sh@me in cyberspace. Relationships without faces: the e-media and eating disorders. Eur Eat Disord Rev. 2003;11(3):155-69. [Link] [DOI:10.1002/erv.523]
17. Wood SK, Eckley L, Hughes K, Hardcastle KA, Bellis MA, Schrooten J, et al. Computer-based programmes for the prevention and management of illicit recreational drug use: a systematic review. Addict Behav. 2014;39(1):30-8. [Link] [DOI:10.1016/j.addbeh.2013.09.010]
18. Rooke S, Thorsteinsson E, Karpin A, Copeland J, Allsop D. Computerdelivered interventions for alcohol and tobacco use: a meta-analysis. Addiction. 2010;105(8):1381-90. [Link] [DOI:10.1111/j.1360-0443.2010.02975.x]
19. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362. [Link] [DOI:10.1371/journal.pmed.1001362]
20. Newman MG, Szkodny LE, Llera SJ, Przeworski A. A review of technology-assisted self-help and minimal contact therapies for anxiety and depression: Is human contact necessary for therapeutic efficacy?. Clin Psychol Rev. 2011;31(10):89-103. [Link] [DOI:10.1016/j.cpr.2010.09.008]
21. Marsch LA, Dallery J. Advances in the psychosocial treatment of addiction: The role of technology in the delivery of evidence-based psychosocial treatment. Psychiatr Clin North Am. 2012;35(2):481-93. [Link] [DOI:10.1016/j.psc.2012.03.009]
22. Borjalilu S, Mazaheri MA, Talebpour AR. The role of mobile applications in delivery of mental health services: a review study. J Health Biomed Inform. 2016;3(2):132-44. [Persian] [Link]
23. Kazdin AE, Blase SL. Rebooting psychotherapy research and practice to reduce the burden of mental illness. Perspect Psychol Sci. 2011;6(1):21-37. [Link] [DOI:10.1177/1745691610393527]
24. Carter MC, Burley VJ, Nykjaer C, Cade JE. Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. J Med Internet Res. 2013;15(4):e32. [Link] [DOI:10.2196/jmir.2283]
25. Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. 2010;15(Pt 1):1-39. [Link] [DOI:10.1348/135910709X466063]
26. Luxton DD, McCann RA, Bush NE, Mishkind MC, Reger GM. mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Prof Psychol Res Pract. 2011;42(6):505-12. [Link] [DOI:10.1037/a0024485]
27. Pallant J. SPSS survival manual: a step by step guide to data analysis using IBM SPSS. London: Routledge; 2020. [Link] [DOI:10.4324/9781003117445]
28. Celuch K, Slama M. Promoting critical thinking and life-long learning: an experiment with the theory of planned behavior. Market Educ Rev. 2002;12(2):13-22. [Link] [DOI:10.1080/10528008.2002.11488782]
29. Banerjee S, Ho SS. Applying the theory of planned behavior: examining how communication, attitudes, social norms, and perceived behavioral control relate to healthy lifestyle intention in Singapore. Int J Healthc Manag. 2020;13(suppl 1):496-503. [Link] [DOI:10.1080/20479700.2019.1605687]
30. Martin T. Assessing mHealth: opportunities and barriers to patient engagement. J Health Care Poor Underserved. 2012;23(3):935-41. [Link] [DOI:10.1353/hpu.2012.0087]
31. Gurman TA, Rubin SE, Roess AA. Effectiveness of mHealth behavior change communication interventions in developing countries: a systematic review of the literature. J Health Commun. 2012;17 Suppl 1:82-104. [Link] [DOI:10.1080/10810730.2011.649160]
32. Jalali D. Efficiency of preventing short message service on students attitudes and self-efficiency towards drug abuse. Q J Inf Commun Technol Educl Sci. 2011;1(3):93-111. [Persian] [Link]
33. Riper H, Kramer J, Smit F, Conijn B, Schippers G, Cuijpers P. Web-based self-help for problem drinkers: a pragmatic randomized trial. Addiction. 2008;103(2):218-27. [Link] [DOI:10.1111/j.1360-0443.2007.02063.x]
34. Bewick BM, West R, Gill J, O'May F, Mulhern B, Barkham M, et al. Providing web-based feedback and social norms information to reduce student alcohol intake: a multisite investigation. J Med Internet Res. 2010;12(5):e59. [Link] [DOI:10.2196/jmir.1461]

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.