Volume 21, Issue 4 (1-2026)
J Health Syst Res 2026, 21(4): 586-597 |
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Research code: 4010663
Ethics code: IR.KUMS.REC.1401.363
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Mirzaei-Alavijeh M, Parsafar S, Moradinazar M, Keshavarzi A, Jalilian F. Efficacy Evaluation of the Intervention Program for the Prevention of Depression in the Elderly Using a Mobile Application Based on Gelberg-Andersen Behavioral Model. J Health Syst Res 2026; 21 (4) :586-597
URL: http://hsr.mui.ac.ir/article-1-1849-en.html
URL: http://hsr.mui.ac.ir/article-1-1849-en.html
Mehdi Mirzaei-Alavijeh1 
, Sahar Parsafar2 , Mehdi Moradinazar1 , Abouzar Keshavarzi3 , Farzad Jalilian4
, Sahar Parsafar2 , Mehdi Moradinazar1 , Abouzar Keshavarzi3 , Farzad Jalilian4
1- Associate Professor, Social Development and Health Promotion Research Center, Health Policy and Promotion Research Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Department of Health Education and Promotion, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Social Development and Health Promotion Research Center, Health Policy and Promotion Research Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Associate Professor, Family Health and Population Growth Research Center, Health Policy and Promotion Research Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Department of Health Education and Promotion, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Social Development and Health Promotion Research Center, Health Policy and Promotion Research Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Associate Professor, Family Health and Population Growth Research Center, Health Policy and Promotion Research Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
Abstract: (25 Views)
Background: Depression is recognized as the main cause of disability in the elderly worldwide. Digital platforms are a valuable resource for reaching individuals who may be hesitant to seek in-person assistance from mental health experts due to various situational or personal barriers. The purpose of this research was to development, implementation, and efficacy evaluation a program that uses a mobile app to prevent depression in older adults. The program is based on Gelberg-Andersen behavioral model.
Methods: The current research was a quasi-experimental study and was conducted among 80 elderly people covered by the pension funds of Kermanshah City by random selection and allocation in two intervention and control groups (40 people each) in 2022. The intervention program was developed based on needs assessment by using Gelberg-Andersen behavioral model and some of steps of Intervention Mapping approach. Data before and two months after the intervention was collected for evaluation and analyzed with SPSS-16 software including Independent Samples t Test and Paired-Samples T Test. The effect size of the intervention was calculated according to Cohen's d index for the efficacy evaluation.
Findings: After the program implementation, the average scores for attitude (19.23 ± 5.04 to 22.93 ± 4.79), self-efficacy (73.86 ± 10.48 to 78.86 ± 8.12), and help-seeking (33.90 ± 6.98 to 39.20 ± 6.04) significantly increased among the elderly in the intervention group (P < 0.05). However, there was no significant impact on psychological distress, barriers, and depression (P > 0.05). The effect size was estimated to be "large" for the determinants of attitude, self-efficacy, and help-seeking, and "small" for psychological distress, barriers, and depression.
Conclusion: The implemented program was effective in improving the score of attitude towards help-seeking, self-efficacy towards receiving mental health services, and help-seeking behavior. Using a mobile application based on the Gelberg-Andersen behavioral model, can be used as a basis for developing and implementing intervention programs to prevent depression among the elderly.
Methods: The current research was a quasi-experimental study and was conducted among 80 elderly people covered by the pension funds of Kermanshah City by random selection and allocation in two intervention and control groups (40 people each) in 2022. The intervention program was developed based on needs assessment by using Gelberg-Andersen behavioral model and some of steps of Intervention Mapping approach. Data before and two months after the intervention was collected for evaluation and analyzed with SPSS-16 software including Independent Samples t Test and Paired-Samples T Test. The effect size of the intervention was calculated according to Cohen's d index for the efficacy evaluation.
Findings: After the program implementation, the average scores for attitude (19.23 ± 5.04 to 22.93 ± 4.79), self-efficacy (73.86 ± 10.48 to 78.86 ± 8.12), and help-seeking (33.90 ± 6.98 to 39.20 ± 6.04) significantly increased among the elderly in the intervention group (P < 0.05). However, there was no significant impact on psychological distress, barriers, and depression (P > 0.05). The effect size was estimated to be "large" for the determinants of attitude, self-efficacy, and help-seeking, and "small" for psychological distress, barriers, and depression.
Conclusion: The implemented program was effective in improving the score of attitude towards help-seeking, self-efficacy towards receiving mental health services, and help-seeking behavior. Using a mobile application based on the Gelberg-Andersen behavioral model, can be used as a basis for developing and implementing intervention programs to prevent depression among the elderly.
Type of Study: Research |
Subject:
education health and promotion
Received: 2024/07/27 | Accepted: 2025/01/6 | Published: 2026/01/5
Received: 2024/07/27 | Accepted: 2025/01/6 | Published: 2026/01/5
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