Logo-jech
Submitted: 12 May 2024
Revision: 05 Aug 2024
Accepted: 22 Aug 2024
ePublished: 30 Sep 2024
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - Firefox Plugin)

J Educ Community Health. 2024;11(3): 175-182.
doi: 10.34172/jech.3307
  Abstract View: 144
  PDF Download: 52

Self-care of Chronic Diseases

Original Article

Predictive Factors of Self-care Behaviors in Elderly Patients With Type 2 Diabetes Based on the Information Therapy Model

Masoud Koorki 1 ORCID logo, Alireza Isfandyari-Moghaddam 1* ORCID logo, Atefeh Zarei 1 ORCID logo, Erfan Ayubi 2 ORCID logo, Sahar Khoshravesh 3 ORCID logo

1 Department of Knowledge and Information Science, Hamedan Branch, Islamic Azad University, Hamedan, Iran
2 Social Determinants of Health Research Center, Institute of Health Sciences and Technologies, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran
3 Chronic Diseases (Home Care) Research Center, Institute of Cancer, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran
*Corresponding Author: Alireza Isfandyari-Moghaddam, Email: ali.isfandyari@gmail.com

Abstract

Background: Information therapy is transforming healthcare by prioritizing patient-centered care, thus emphasizing the delivery of relevant information to empower individuals in managing their health. In this regard, this study aimed to design an information therapy model and determine the predictive factors of self-care behaviors in elderly patients with type 2 diabetes (T2DM).

Methods: This descriptive-analytical cross-sectional study involved 253 elderly diabetic patients referring to healthcare centers, internal medicine offices, and specialized diabetes clinics in Hamadan in 2024. The required data were gathered using a closed questionnaire and then analyzed with SPSS 22 software through independent t-tests. Finally, AMOS 24 was utilized to measure model fit.

Results: Participants had an average age of 69 years, with a majority being male and holding high school diplomas. Physicians and health professionals accounted for the highest rate of referrals and users at 92.8%, followed by traditional media at 82.2%. The findings confirmed that patients who sought information from healthcare staff, peers, and families had higher knowledge scores compared to those who did not. Moreover, traditional media users demonstrated increased knowledge levels (P<0.05). Path analysis revealed that social networks (coefficient=0.11) and digital media (0.22) significantly impacted knowledge, thus affecting attitudes toward self-care behaviors (0.45). Then, the attitude had a significant impact on the occurrence of self-care behavior (0.26, P<0.05).

Conclusion: Enhancing knowledge and improving attitudes are crucial for developing effective information therapy strategies for elderly patients with T2DM, ultimately promoting sustainable self-care behaviors.



Please cite this article as follows: Koorki M, Isfandyari-Moghaddam A, Zarei A, Ayubi E, Khoshravesh S. Predictive factors of self-care behaviors in elderly patients with type 2 diabetes based on the information therapy model. J Educ Community Health. 2024; 11(3):175-182. doi:10.34172/jech.3307
First Name
 
Last Name
 
Email Address
 
Comments
 
Security code


Abstract View: 145

Your browser does not support the canvas element.


PDF Download: 52

Your browser does not support the canvas element.