Investigating the Quality of Life and Its Correlation with Receiving Online Health Services in the Middle-Aged People of Kashan

Fatemeh Sadat  Izadi-Avanji; Mahboobeh Kafaei-Atrian; Jalal  Hashemi-Demne

doi:10.18502/jzms.v5i4.11791

Fatemeh Sadat Izadi-Avanji Associate Professor, Department of Medical-Surgical Nursing, Trauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran
Mahboobeh Kafaei-Atrian Assistant Professor, Department of Midwifery, School of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan, Iran
Jalal Hashemi-Demne MSc, Department of Medical-Surgical Nursing, Trauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran

DOI: https://doi.org/10.18502/jzms.v5i4.11791

Keywords: Middle age; Quality of life; Online health services

Abstract

Background: Quality of life refers to people's understanding of their position in terms of culture, value system in which they live, goals, expectations, standards and priorities. The use of online health services can affect the improvement of people's understanding of health. The purpose of this study was to determine the quality-of-life and its correlation with receiving online health services among middle-aged people in Kashan in 2019.

Methods: This is a cross-sectional study that was conducted on middle-aged people in health centers. The samples were 293 people who were randomly selected. Data collection was done with questionnaires on the ability to use health services and quality-of-life. Data analysis was done with Chi-square, Fisher's Exact tests, Independent Samples T-test, ANOVA, Pearson's correlation coefficient and linear regression tests.

Results: The average age of 293 participants was 47.5 ± 6.99 with a range of
40-60 years. The average work experience was 23.11 ± 8.01 and the average use of the internet per week was 26.2 ± 20.29 hours. The quality-of-life of
70.3 percent of the participants was average. Linear regression analysis showed that the ability to use services on the health line was predictive (β = 0.363 and p value < 0.001) and explained 14% of the variance of quality of life (p value < 0.001).

Conclusion: The ability to use online health services does affect the quality of life of middle-aged people. Therefore, in order to improve the quality of life of middle-aged people in the society, necessary interventions are recommended to increase the use of online health services.