Mobile-Based Self-Care Application for COVID-19: Development Process Using the ADDIE Model

Saeidnia, Hamid Reza; Ausloos, Marcel; Mohammadzadeh, Zahra; Babajani, Afshin; Hassanzadhh, Mohammad

doi:10.3233/shti210871

Cited by 14 publications

(11 citation statements)

References 9 publications

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“…In fact, providing free services to patients is one of the motivating factors for patients to use technology, which was the concern of patients and specialist physicians in our study. However, some technology-based products are expensive, this issue can affect the number of users [ 26 ]. In addition, the high cost of designing and developing some technology-based products can also affect the technology distribution policies of healthcare providers [ 18 , 22 ].…”

Section: Discussionmentioning

confidence: 99%

Identifying factors that affect the use of health information technology in the treatment and management of hypertension

Faezi,

Afshar,

Rahimi

2023

BMC Med Inform Decis Mak

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Background We conducted this study with the aim of identifying factors that affect the use of health information technology in the treatment and management of hypertension. Methods This paper is a descriptive-analytic study conducted in 2022. To obtain relevant articles, databases including Scopus, Web of Science, IEEE, and PubMed were searched and the time period was between 2013 and 2022. Based on the review of similar articles, a five-point Likert scale checklist was developed in the second phase. The statistical population of the present study was specialist physicians (N = 40) and patients (N = 384). In order to analyze the data, SPSS Statistics 24 was used. To analyze the data obtained from the checklist, we used summary statistics (mean and standard deviation). Results As a result of the review literature process, 50 papers were screened, that based we can distinguish motivational and inhibitory factors affecting the use of health information technology in hypertension management. Indeed, Motivational factors and inhibitory factors can be classified into five groups: organizational, economic, technical, personal, and legal/moral factors. Based on the results of the checklist, the factors that were identified as most influential on motivation and inhibitory patients and specialist physicians’ to use of health information technology to manage and treat hypertension. Conclusion Utilizing technologies for hypertension, its management can be improved by identifying motivating and inhibiting factors. Our approach can improve the acceptability of these technologies, save costs, reduce long-term complications of hypertension, and improve patient quality of life.

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Section: Discussionmentioning

confidence: 99%

Identifying factors that affect the use of health information technology in the treatment and management of hypertension

Faezi,

Afshar,

Rahimi

2023

BMC Med Inform Decis Mak

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“…In order to design our app user interface to better communicate with patients, we sought out experts in user experience and software in these fields. This method of designing an app's user interface and user experience flow has been used in a number of studies [40,41]. It is important to note that a good user interface design is very important to a mobile app's acceptance by its users [42].…”

Section: Discussionmentioning

confidence: 99%

Effectiveness of a self-management mobile app on the quality of life of women with breast cancer: a study in a developing country

et al. 2022

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Background Self-management involves taking responsibility for personal health and taking the initiative to do so. This can be accomplished by learning information and skills that will help consider the difficulties may encounter during and after cancer treatment. With this perspective, we have aimed to develop a self-management mobile app for women with breast cancer in Iran and evaluate its impact on the quality of life of patients. Method This study is a methodological study in 2021. We developed the app during three phases. The first phase aimed at identifying educational content and designing user experience, the second phase aimed at developing and implementing the app, and the third phase aimed at evaluating pre-and post-implementation. Result In this study, an Android app for self-management women with breast cancer was developed. According to the results of the pre-and post-implementations among the most significant changes were in the quality of life level, highest respectively: social avoidance (Pre: 6.41–Post: 3.56), negative feelings (Pre: 5.93 - Post: 3.40), sexual function (Pre: 6.80 - Post: 5.04), sexual interest (Pre: 6.41 - Post: 4.75) and pain (Pre: 6.37 - Post: 4.97). And least the changes respectively: distress-family (Pre: 7 - Post: 7), distress-recurrence (Pre: 4.49 - Post: 4.38), benefits (Pre: 2.47 - Post: 3.12), appearance (Pre: 4.10 - Post: 3.32). Also, we calculated the usability evaluation of this app with the system usability scale (SUS); the overall rating score was 83/100, an excellent level (> 80.3), and a grade A. Conclusion The study shows that a breast cancer self-management app can support and improve the quality of life of women with breast cancer. We conducted this study to show that by developing a self-management app, women with breast cancer can improve their quality of life, − by increasing their self-management skills.

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“…In our study, in addition to con rming it, we found the simple and user-friendly design of technologies as a positive factor. It should be noted that the design of the appropriate user interface makes the users more persuasive and this issue makes it easier for the patient to accept the designed system (10,28,29).…”

Section: Discussionmentioning

confidence: 99%

Identifying factors that affect the use of health information technology in the treatment and management of hypertension

Faezi

Afshar

Rahimi

2022

Preprint

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Background: We conducted this study with the aim of Identifying factors that affect the use of health information technology in the treatment and management of hypertension. Methods: This is a descriptive-analytic study conducted in 2022. To obtain relevant articles, databases including Scopus, Web of Science, IEEE, and PubMed were searched and the time period was between 2013 and 2022. Based on the review of similar articles, a five-point Likert scale checklist was developed in the second phase. The statistical population of the present study was specialist physicians (n=40) and patients (n=384). In order to analyze the data, SPSS Statistics 24 was used. We used descriptive measures to show the data on the two affecting categories on the checklist, followed by a One-Way ANOVA. Results: As a result of the review literature process, 50 papers were screened, that based we can distinguish motivational and inhibitory factors affecting the use of health information technology in hypertension management. Indeed, Motivational factors and inhibitory factors can be classified into five groups: organizational, economic, technical, personal, and legal/moral factors. Based on the results of the survey, the factors that were identified as most influential on patient and specialist physicians' motivation and inhibitory to use of health information technology to manage and treat hypertension. Conclusion: Utilizing technologies for hypertension management can be improved by identifying motivating and inhibiting factors. This approach can improve the acceptability of these technologies, save costs, reduce long-term complications of hypertension, and improve patient quality of life.

show abstract

Mobile-Based Self-Care Application for COVID-19: Development Process Using the ADDIE Model

Cited by 14 publications

References 9 publications

Identifying factors that affect the use of health information technology in the treatment and management of hypertension

Identifying factors that affect the use of health information technology in the treatment and management of hypertension

Effectiveness of a self-management mobile app on the quality of life of women with breast cancer: a study in a developing country

Identifying factors that affect the use of health information technology in the treatment and management of hypertension

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