[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 7, Issue 2 (Military Caring Sciences 2020) ::
MCS 2020, 7(2): 106-116 Back to browse issues page
The Effect of Mobile Software Applications on Quality of Life in Militaries with Hypertension
F Fallah.1, SA Sajadi. 2, SAH Pishgooie.3
1- MSc Student of Critical Care Nursing, Faculty of Nursing, Aja University of Medical Sciences, Tehran, Iran.
2- (Corresponding Author) Ph.D. of Nursing, Assistant Professor, Nursing Management Department, Faculty of Nursing, Aja University of Medical Sciences, Tehran, Iran.
3- Ph.D. of Nursing, Associated Professor, Critical Care Nursing Department, Faculty of Nursing, Aja University of Medical Sciences, Tehran, Iran.
Abstract:   (314 Views)

Introduction: High blood pressure leads to  the poor quality of life of patients and this is important among the military forces, as key providers of security in the country.
Objective: The aim of the present study was to investigate the effect of mobile software applications on quality of life of military personnel with hypertension.
Materials and Methods: In the present study, a total of 66 military personnel with hypertension underwent clinical trials in 2019. They were divided into experimental (receiving mobile educational software) and control groups (not receiving software). Data collection tools included demographic information form and health-related quality of life questionnaire (SF-36) which were compared before the intervention and six weeks after the intervention. SPSS 21 was used for data analysis and the significance level was considered less than 0.05 (P<0.05).
Results: According to the Wilcoxon test results, there was no significant difference between the mean scores of quality of life before the intervention between  both groups (P= 0.56) but after six weeks of intervention, this difference was significant (P= 0.0001).The mean score of quality of life in the experimental group was significantly higher than the control group.
Discussion and Conclusion: This study showed that mobile-based education software had a significant effect on improving the quality of life of hypertensive soldiers, so it could be used as an intervention in hypertensive patients.

IRCT NO. : IRCT20190626044026N1

Keywords: Blood pressure, Military, Mobile Apps, Health-Related Quality Of Life
Full-Text [PDF 487 kb]   (93 Downloads)    
Type of Study: Research | Subject: Special
Received: 2020/02/2 | Accepted: 2020/04/23 | Published: 2020/10/1
References
1. Almirall D, Nahum-Shani I, Sherwood NE, Murphy SA. Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research. Transl Behav Med. 2014;4(3):260-74. http://dx.doi.org/10.1007/s13142-014-0265-0 www.ncbi.nlm.nih.gov/pubmed/25264466 [DOI] [PubMed]
2. Bengtsson U, Kasperowski D, Ring L, Kjellgren K. Developing an interactive mobile phone self-report system for self-management of hypertension. Part 1: patient and professional perspectives. Blood Press. 2014;23(5):288-95. http://dx.doi.org/10.3109/08037051.2014.883203 www.ncbi.nlm.nih.gov/pubmed/24564289 [DOI] [PubMed]
3. Figueiredo TC, Andrade A. Quality of life in hypertensive patients. J Educ Sci Psychol. 2014;4(2):112-24.
4. Janghorbani M, Amini M, Willett WC, Mehdi Gouya M, Delavari A, Alikhani S, et al. First nationwide survey of prevalence of overweight, underweight, and abdominal obesity in Iranian adults. Obesity (Silver Spring). 2007;15(11):2797-808. http://dx.doi.org/10.1038/oby.2007.332 www.ncbi.nlm.nih.gov/pubmed/18070771 [DOI] [PubMed]
5. Organization WH. Global action plan on physical activity 2018-2030: more active people for a healthier world: World Health Organization; 2019.
6. Bhola RM, Mahakud GC. A qualitative analysis of social networking usage. Inter J Research & Development of Health. 2014;2(1):34-44.
7. Farajzadeh D, Tavakoli R, Rafati H. Investigation on knowledge of commanders and managers of one of the Military forces about the nutrition of military personnel in 1384. J Mil Med. 2008;10(1):45-50.
8. Tzeng DS, Chung WC, Fan PL, Lung FW, Yang CY. Psychological morbidity, quality of life and their correlations among military health care workers in Taiwan. Ind Health. 2009;47(6):626-34. http://dx.doi.org/10.2486/indhealth.47.626 www.ncbi.nlm.nih.gov/pubmed/19996538 [DOI] [PubMed]
9. Wu DM, Chu NF, Lin YS, Lai HR. Aggregation of adverse behaviors and its affecting factors among young military conscripts in Taiwan. Addict Behav. 2007;32(6):1302-8. http://dx.doi.org/10.1016/j.addbeh.2006.09.002 www.ncbi.nlm.nih.gov/pubmed/17107751 [DOI] [PubMed]
10. Zarchi AK, Gahangiri M. Pre hypertension and hypertension in Iranian military personnel: prevalence according to some related factors. World Applied Sciences Journal. 2010;11(5):541-7.
11. WDS J. Prevalence of arterial hypertension in young military personnel and associated factors. Revista de saude publica. 2009;43:789-95.
12. Barrett DH, Boehmer TK, Boothe VL, Flanders WD, Barrett DH. Health-related quality of life of U.S. military personnel: a population-based study. Mil Med. 2003;168(11):941-7. www.ncbi.nlm.nih.gov/pubmed/14680052
13. Azadmarzabadi E, Niknafs S. Models of Opposing Against Job Stress among Military Staff. J Payavard Salamat. 2016;10(4):299-310.
14. Shamsi A, Refahi A, Malmir M, Mollahadi M, Ebadi A. Comparison of quality of life in military personnel with and without hypertension. J Army Univ Med Sci. 2012;10(3):213-8.
15. Masrour Roudsari D, Dabiri Golchin M, Parsa Yekta Z. Evaluation of health-related quality of life in hypertensive patients in selected hospitals affiliated to Tehran University of Medical Sciences. Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences. 2013;23(83):11-8.
16. Taher M, Abredari H, Karimy M, Abedi A, Shamsizadeh M. The Relation Between Social Support and Adherence to the Treatment of Hypertension. J Education and Community Health. 2014;1(3):63-9. http://dx.doi.org/10.20286/jech-010348 [DOI]
17. Najafi Ghezeljeh T, Nasr Esfahani M, Sharifian S. Comparing the effect of self-management training by mobile phone-based social network follow-up on blood pressure in people with hypertension. Iranian J Cardiovascular Nurs. 2017;6(1):22-31.
18. Kirwan M. Developing and evaluating smarphone applications to improve health behaviours and chronic disease self-management. Queensland: Central Queensland University; 2012.
19. Nasi G, Cucciniello M, Guerrazzi C. The role of mobile technologies in health care processes: the case of cancer supportive care. J Med Internet Res. 2015;17(2):e26. http://dx.doi.org/10.2196/jmir.3757 www.ncbi.nlm.nih.gov/pubmed/25679446 [DOI]
20. Heo J, Chun M, Lee KY, Oh YT, Noh OK, Park RW. Effects of a smartphone application on breast self-examination: a feasibility study. Healthc Inform Res. 2013;19(4):250-60. http://dx.doi.org/10.4258/hir.2013.19.4.250 www.ncbi.nlm.nih.gov/pubmed/24523989 [DOI] [PubMed]
21. Kurdi H, Alkhowaiter A, Al-Muaibed A, Alotaibi B, Alhaweal R, Alotaibi T, editors. A mobile healthcare application for personal diet assisting. International Conference on Advanced Computer Science Applications and Technologies (ACSAT); 2012.
22. Cano Martin JA, Martinez-Perez B, de la Torre-Diez I, Lopez-Coronado M. Economic impact assessment from the use of a mobile app for the self-management of heart diseases by patients with heart failure in a Spanish region. J Med Syst. 2014;38(9):96. http://dx.doi.org/10.1007/s10916-014-0096-z www.ncbi.nlm.nih.gov/pubmed/24994514 [DOI] [PubMed]
23. Inglis SC, Clark RA, Cleland JGF, McAlister F, Stewart S, Inglis SC. Structured telephone support or telemonitoring programs for patients with chronic heart failure. 2008. http://dx.doi.org/10.1002/14651858.cd007228 [DOI]
24. Zhang Y. Handbook of Mobile Teaching and Learning. Wollongong: NSW:Springer Reference; 2015.
25. Cho MJ, Sim JL, Hwang SY. Development of smartphone educational application for patients with coronary artery disease. Healthc Inform Res. 2014;20(2):117-24. http://dx.doi.org/10.4258/hir.2014.20.2.117 www.ncbi.nlm.nih.gov/pubmed/24872910 [DOI] [PubMed]
26. Azad Marzabadi E. Stressors and their associated variables in Military Personnel. Journal of Military Medicine. 2009;11(4):213-7.
27. Najafi Ghezeljeh T, Shahidi M. Self-care education and improving quality of life in patients with hypertension: a review literature. Iranian Journal of Cardiovascular Nursing. 2014;3(1):66-71.
28. Montazeri A, Goshtasebi A, Vahdaninia M, Gandek B. The Short Form Health Survey (SF-36): translation and validation study of the Iranian version. Qual Life Res. 2005;14(3):875-82. http://dx.doi.org/10.1007/s11136-004-1014-5 www.ncbi.nlm.nih.gov/pubmed/16022079 [DOI] [PubMed]
29. Makvandi Z. The survey of quality of life and its dimensions in Islamic Azad university Ahvaz branch students in 2010. Quarterly J Jondi Shapour. 2011;2(4):191-200.
30. Rafiei NS, Rafiey H, Behnampour N, Foroozesh K. Reliability and Validity of Persian Version of. J Mazandaran Univ Med Sci. 2014;24(116):75-83.
31. Mohaddes Ardebili F, Mehmandar M, Bozorgnejad M, Khalili E, Hosseini AF. The effectiveness of multimedia self-care education on burn patients’ quality of life: An application of latent growth model. Razi Journal of Medical Sciences. 2019;25(12):33-42.
32. Saffari M, Sanaeinasab H, Rashidi-Jahan H, Hajijafar-Namazi M, Sepandi M, Samadi M, et al. A Comparison Between Impact of a Health Education Program Using In-situ Training and Text-Messaging on Lifestyle and Blood Pressure in Military Personnel at Risk of Hypertension. Nian J Health Education & Health Promotion. 2019;7(1):74-83. http://dx.doi.org/10.30699/ijhehp.7.1.74 [DOI]
33. Gharaati F, Aghamolaei T, Hassani L, Mohamadi R, Mohsseni S. The effect of educational intervention using mobile phone on self-care behaviors in patients with thalassemia major. J Preventive Med. 2016;3(2):0-.
34. Zhao X, Wang L, Ge C, Zhen X, Chen Z, Wang J, et al. Smartphone application training program improves smartphone usage competency and quality of life among the elderly in an elder university in China: A randomized controlled trial. Int J Med Inform. 2020;133:104010. http://dx.doi.org/10.1016/j.ijmedinf.2019.104010 www.ncbi.nlm.nih.gov/pubmed/31675540 [DOI] [PubMed]
35. Drion I, Pameijer LR, van Dijk PR, Groenier KH, Kleefstra N, Bilo HJ. The Effects of a Mobile Phone Application on Quality of Life in Patients With Type 1 Diabetes Mellitus: A Randomized Controlled Trial. J Diabetes Sci Technol. 2015;9(5):1086-91. http://dx.doi.org/10.1177/1932296815585871 www.ncbi.nlm.nih.gov/pubmed/25963412 [DOI] [PubMed]
36. Sun N, Rau P-LP, Li Y, Owen T, Thimbleby H. Design and evaluation of a mobile phone-based health intervention for patients with hypertensive condition. Computers in Human Behavior. 2016;63:98-105. http://dx.doi.org/10.1016/j.chb.2016.05.001 [DOI]
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA

Ethics code: IR.AJAUMS.REC.1398.041
Clinical trials code: IRCT20190626044026N1


XML   Persian Abstract   Print


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

Fallah. F, Sajadi. S, Pishgooie. S. The Effect of Mobile Software Applications on Quality of Life in Militaries with Hypertension. MCS. 2020; 7 (2) :106-116
URL: http://mcs.ajaums.ac.ir/article-1-361-en.html


Volume 7, Issue 2 (Military Caring Sciences 2020) Back to browse issues page
مجله علوم مراقبتی نظامی Military Caring Sciences Journal
Persian site map - English site map - Created in 0.05 seconds with 30 queries by YEKTAWEB 4256