{"title":"Check the Impact of Mobile Health on Medication Adherence in Adolescents with Leukemia.","authors":"Masome Hosseinpour, Azam Shirinabadi Farahani, Maryam Varzeshnejad, Malihe Nasiri","doi":"10.31557/APJCP.2025.26.3.751","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Leukemia is considered one of the most common childhood cancers, requiring long-term treatment that often affects adherence to the treatment. Treatment adherence is one of the most important health issues. Adolescents demonstrate the highest scores of non-adherences to treatment. Treatment adherence refers to the extent to which a patient follows medication protocols, dietary guidelines, and lifestyle adjustments as per healthcare provider recommendations. Mobile health programs utilize mobile technology to provide health services. Given the potential influence of mobile technology interventions on treatment outcomes, a study was conducted to assess the impact of mobile health on medication adherence in adolescents with leukemia.</p><p><strong>Methods: </strong>This study, a clinical trial conducted in 2023, involved the selection of sixty adolescents meeting entry criteria, who were then randomly allocated to intervention (30 participants) and control groups (30 participants). The intervention group utilized a treatment adherence application for eight weeks. Data collection utilized the Morisky Medication Adherence Questionnaire and the Mobile Application Rating Scale (MARS).</p><p><strong>Results: </strong>There were no significant demographic differences between the intervention and control groups. Pre-test results showed a mean adherence score of 6.000 with a standard deviation of 1.11 in the intervention group and 4.25 with a standard deviation of 1.45 in the control group, with no statistically significant variance. Post-test results indicated increased treatment adherence in the intervention group, while no change was observed in the control group.</p><p><strong>Conclusion: </strong>The use of a mobile health application enhances treatment adherence among adolescents with leukemia.</p>","PeriodicalId":55451,"journal":{"name":"Asian Pacific Journal of Cancer Prevention","volume":"26 3","pages":"751-755"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12174509/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Pacific Journal of Cancer Prevention","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31557/APJCP.2025.26.3.751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Leukemia is considered one of the most common childhood cancers, requiring long-term treatment that often affects adherence to the treatment. Treatment adherence is one of the most important health issues. Adolescents demonstrate the highest scores of non-adherences to treatment. Treatment adherence refers to the extent to which a patient follows medication protocols, dietary guidelines, and lifestyle adjustments as per healthcare provider recommendations. Mobile health programs utilize mobile technology to provide health services. Given the potential influence of mobile technology interventions on treatment outcomes, a study was conducted to assess the impact of mobile health on medication adherence in adolescents with leukemia.
Methods: This study, a clinical trial conducted in 2023, involved the selection of sixty adolescents meeting entry criteria, who were then randomly allocated to intervention (30 participants) and control groups (30 participants). The intervention group utilized a treatment adherence application for eight weeks. Data collection utilized the Morisky Medication Adherence Questionnaire and the Mobile Application Rating Scale (MARS).
Results: There were no significant demographic differences between the intervention and control groups. Pre-test results showed a mean adherence score of 6.000 with a standard deviation of 1.11 in the intervention group and 4.25 with a standard deviation of 1.45 in the control group, with no statistically significant variance. Post-test results indicated increased treatment adherence in the intervention group, while no change was observed in the control group.
Conclusion: The use of a mobile health application enhances treatment adherence among adolescents with leukemia.
期刊介绍：
Cancer is a very complex disease. While many aspects of carcinoge-nesis and oncogenesis are known, cancer control and prevention at the community level is however still in its infancy. Much more work needs to be done and many more steps need to be taken before effective strategies are developed. The multidisciplinary approaches and efforts to understand and control cancer in an effective and efficient manner, require highly trained scientists in all branches of the cancer sciences, from cellular and molecular aspects to patient care and palliation.
The Asia Pacific Organization for Cancer Prevention (APOCP) and its official publication, the Asia Pacific Journal of Cancer Prevention (APJCP), have served the community of cancer scientists very well and intends to continue to serve in this capacity to the best of its abilities. One of the objectives of the APOCP is to provide all relevant and current scientific information on the whole spectrum of cancer sciences. They aim to do this by providing a forum for communication and propagation of original and innovative research findings that have relevance to understanding the etiology, progression, treatment, and survival of patients, through their journal. The APJCP with its distinguished, diverse, and Asia-wide team of editors, reviewers, and readers, ensure the highest standards of research communication within the cancer sciences community across Asia as well as globally.
The APJCP publishes original research results under the following categories:
-Epidemiology, detection and screening.
-Cellular research and bio-markers.
-Identification of bio-targets and agents with novel mechanisms of action.
-Optimal clinical use of existing anti-cancer agents, including combination therapies.
-Radiation and surgery.
-Palliative care.
-Patient adherence, quality of life, satisfaction.
-Health economic evaluations.
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