Hostname: page-component-77c89778f8-m8s7h Total loading time: 0 Render date: 2024-07-18T11:14:10.174Z Has data issue: false hasContentIssue false
  • English
  • Français

Moving toward community based telehealth services using mhealth for hypertensive patients

Published online by Cambridge University Press:  24 September 2019

Sahar Zare ,
Rita Rezaee Open the ORCID record for Rita Rezaee [Opens in a new window] ,
Azam Aslani ,
Mohammad Shirdeli  and
Javad Kojuri
Sahar Zare
Affiliation:
Health Information Management, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
Rita Rezaee*
Affiliation:
Department of Health Information Technology, Clinical Education Research Center, Human Resources Development Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
Azam Aslani
Affiliation:
Department of Health Information Management, Human Resources Development Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
Mohammad Shirdeli
Affiliation:
Health Information Management, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
Javad Kojuri
Affiliation:
Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
*
Author for correspondence: Rita Rezaee, E-mail: rezaeerita@yahoo.com
Get access Rights & Permissions [Opens in a new window]

Abstract

Background

Although self-care can control and prevent complications in hypertensive patients, self-care adherence is relatively low among these patients. Community-based telehealth services through mhealth can be an effective solution.

Objective

This study aimed to evaluate the effect and acceptance of an mhealth application as a community-based telehealth intervention on self-care behavior adherence.

Method

This clinical trial included sixty hypertensive patients and their matched controls from two heart clinics affiliated to Shiraz University of Medical Sciences (SUMS). Self-care behaviors were assessed using Hill-Bone questionnaire before and after the intervention. Acceptability was evaluated in the intervention group at the end of the study period. The data were analyzed via SPSS 18 software using descriptive and inferential statistics.

Result

The results showed a significant difference between the intervention and control groups regarding the mean score of self-care behaviors (4.13 ± 0.23 versus 3.18 ± 0.27, p < .001). Additionally, a significant difference was observed between the two groups concerning the mean scores of the two subscales of self-care behaviors, including “medication taking” and “proper diet”. However, no significant difference was observed between the two groups regarding the mean score of “appointment keeping” (p = .075). Overall, the intervention group participants were satisfied (4.27 ± 0.34) with this approach for managing hypertension.

Conclusion

Community-based telehealth services through mhealth had the potential to improve self-care behaviors in hypertensive patients and seemed to be accepted by the patients in the intervention group.

Keywords

Community healthSelf-careMobile healthHypertension
Type
Assessment
Information
International Journal of Technology Assessment in Health Care , Volume 35 , Issue 5 , 2019 , pp. 379 - 383
Copyright
Copyright © Cambridge University Press 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.WHO (2016) Global health estimates 2015: deaths by cause, age, sex, by country and by region, 2000–2015. Geneva: WHO.Google Scholar
2.WHO (2015) WHO fact sheet. Available at: http://www.who.int/mediacentre/factsheets/fs317/en/.Google Scholar
3.Aghaei Meybodi, HR, Khashayar, P, Rezai Homami, M et al. (2014) Prevalence of hypertension in an Iranian population. Ren. Fail. 36, 87–91.Google Scholar
4.Divajeva, D, Marsh, T, Logstrup, S et al. (2014) Economics of chronic diseases protocol: cost-effectiveness modelling and the future burden of non-communicable disease in Europe. BMC Public Health 14, 456.Google Scholar
5.WHO (2018) HEARTS Technical package for cardiovascular disease management in primary health care: evidence-based treatment protocols. Available at: https://www.who.int/cardiovascular_diseases/hearts/Hearts_package.pdfGoogle Scholar
6.Heron, KE, Smyth, JM (2010) Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol 15, 1–39.Google Scholar
7.Kho, A, Henderson, LE, Dressler, DD, Kripalani, S (2006) Use of handheld computers in medical education. A systematic review. J Gen Intern Med 21, 531–537.Google Scholar
8.World Health Organization, Regional Office for South-East Asia (2012) A framework for community health nursing education. WHO Regional Office for South-East Asia. Available at: https://apps.who.int/iris/handle/10665/204726Google Scholar
9.Community based nursing practice (2012) 40–51 p. Available at: https://pdfs.semanticscholar.org/ebf3/42f107913a29bd74cb696c7668bd5d0ef3b6.pdf.Google Scholar
10.Russo, J, McCool, R, Davies, L (2016) VA telemedicine: an analysis of cost and time savings. Telemed J E Health 22, 209–215.Google Scholar
11.Padfield, PL (2010) The case for home monitoring in hypertension. BMC Med 8, 55.Google Scholar
12.Alessa, T, Abdi, S, Hawley, MS, de Witte, L (2018) Mobile apps to support the self-management of hypertension: systematic review of effectiveness, usability, and user satisfaction. JMIR mHealth and uHealth 6, e10723.Google Scholar
13.Kim, MT, Hill, MN, Bone, LR, Levine, DM (2000) Development and testing of the Hill-Bone compliance to high blood pressure therapy scale. Prog Cardiovasc Nurs 15, 90–96.Google Scholar
14.Chobanian, AV, Bakris, GL, Black, HR et al. (2003) Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertens 42, 1206–1252.Google Scholar
15.National Clinical Guideline Center (2011) National institute for health and clinical excellence: guidance hypertension: the clinical management of primary hypertension in adults: update of clinical guidelines 18 and 34. London: Royal College of Physicians (UK) National Clinical Guideline Centre.Google Scholar
16.Mancia, G, Fagard, R, Narkiewicz, K, Redon, J, Zanchetti, A (2013) ESH/ESC guidelines for the management of arterial hypertension: the Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). Eur Heart J 34(28), 2159–2219.Google Scholar
17.Esmaili Zabihi, R, Ashktorab, T, Banaderakhshan, H, Zaeri, F (2012) Adherence to therapeutic regimens in patients with hypertension. ARYA Atheroscler J 8, 190–194.Google Scholar
18.Park, MJ, Kim, HS, Kim, KS (2009) Cellular phone and Internet-based individual intervention on blood pressure and obesity in obese patients with hypertension. Int J Med Inform 78, 704–710.Google Scholar
19.Weber, MA, Schiffrin, LE, White, WB et al. (2014) Clinical practice guidelines for the management of hypertension in the community: a statement by the American Society of Hypertension and the International Society of Hypertension. J Clin Hypertens 16, 14–26.Google Scholar
20.Daniali, SS, Eslami, AA, Maracy, MR, Shahabi, J, Mostafavi-Darani, F (2017) The impact of educational intervention on self-care behaviors in overweight hypertensive women: A randomized control trial. ARYA Atheroscler 13, 20–28.Google Scholar
21.Izquierdo, R, Lagua, CT, Meyer, S et al. (2010) Telemedicine intervention effects on waist circumference and body mass index in the IDEATel project. Diabetes Technol Ther 12, 213–220.Google Scholar
22.Kim, JY, Wineinger, NE (2016) The influence of wireless self-monitoring program on the relationship between patient activation and health behaviors, medication adherence, and blood pressure levels in hypertensive patients: a substudy of a randomized controlled trial. J Med Internet Res 18, e116.Google Scholar
23.Chiu, CW, Wong, FK (2010) Effects of 8 weeks sustained follow-up after a nurse consultation on hypertension: a randomised trial. Int J Nurs Stud 47, 1374–1382.Google Scholar
24.Still, CH, Jones, LM, Moss, KO, Variath, M, Wright, KD (2018) African American older adults' perceived use of technology for hypertension self-management. Res Gerontol Nurs 11, 249–256.Google Scholar
25.Patel, S, Jacobus-Kantor, L, Marshall, L et al. (2013) Mobilizing your medications: an automated medication reminder application for mobile phones and hypertension medication adherence in a high-risk urban population. J Diabetes Sci Technol 7, 630–640.Google Scholar
26.Obara, T, Ohkubo, T, Asayama, K et al. (2008) Home blood pressure measurements associated with better blood pressure control: the J-HOME study. J Hum Hypertens 22, 197–204.Google Scholar
27.Davido, A, Nicoulet, I, Levy, A, Lang, T (1991) appropriateness of admission in an emergency department: reliability of assessment and causes of failure. Qual Assur Health Care 3, 227–234.Google Scholar
28.Wangberg, S, Bergmo, T (2008) Adherence in internet-based interventions. Patient Prefer Adherence 2, 57–65.Google Scholar
Supplementary material: File

Zare et al. supplementary material

Zare et al. supplementary material

Download Zare et al. supplementary material(File)
File 15.6 KB