The Effect of Telenursing (Cellphone software) on A1c hemoglobin in patients with Type 2 Diabetes Mellitus

authors:

avatar Fariba Borhani 1 , avatar Hadi Ranjbar 2 , avatar Abbas Abbaszadeh 3 , avatar Farokh Abazari 4 , avatar Athareh Ranjbar 5 , *

Assistant Professor, Nursing and Midwifery School, Kerman University of Medical Sciences, Kerman, Iran, Andorra
Lecturer, Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran, Andorra
Lecturer, Nursing and Midwifery School, Kerman University of Medical Sciences, Kerman, Iran, Andorra
Associate Professor, Nursing and Midwifery School, Shahid Behshti University of Medical Sciences, Tehran, Iran, Andorra
Researcher, Valiasr Hospital, Tehran University of Medical Sciences, Tehran, Iran, Andorra

how to cite: Borhani F , Ranjbar H , Abbaszadeh A , Abazari F , Ranjbar A . The Effect of Telenursing (Cellphone software) on A1c hemoglobin in patients with Type 2 Diabetes Mellitus. Ann Mil Health Sci Res. 2013;11(2):e66481. 

Abstract

Background: Nowadays technology development has remarkable and undeniable effects on caring. The aim of this study was to evaluate the effect of telenursing (cellphone software) on metabolic control of patients with Type 2 Diabetes Mellitus.
Materials and Methods: It was a clinical trial with IRCT201009114728N1 Registration Code. In the spring of 2011 from patients of Valiasr hospital department of endocrinology 60 patients were chosen and randomly allocated in two groups. The Demographic questionnaire was completed by them. Blood sample for A1c hemoglobin was taken from patients. In the intervention group cellphone software was installed on the personal mobile of participants. The data was analyzed by t-test and SPSS 21.
Results: The pre and post A1c hemoglobin was -0.58±0.77 and -0.19±0.51 respectively and this difference was significant (P< 0.05).
Conclusion: The result indicated that telenursing by using cellphone software can have positive effect on metabolic control of patients with Type 2 Diabetes Mellitus. This technology can persuade patients and health team members to follow up caring of these patients more effectively.
 

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