Volume 13, Issue 2 (2025)
Health Educ Health Promot 2025, 13(2): 205-211 |
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Nuriyah N, Rusdi M, Elfrida S, Effendi M. Effect of ENNOE Information Digitization Intervention on Knowledge and Adherence to HIV Treatment. Health Educ Health Promot 2025; 13 (2) :205-211
URL: http://hehp.modares.ac.ir/article-5-79330-en.html
URL: http://hehp.modares.ac.ir/article-5-79330-en.html
1- Department of Medical, Faculty of Mathematic and Science Programe, Jambi University, Jambi, Indonesia
2- Department of Chemistry Education, Faculty of Teacher Training and Education, Jambi University, Jambi, Indonesia
3- Department of Public Health Sciences, Health Polytechnic Ministry of Health Jambi, Jambi, Indonesia
2- Department of Chemistry Education, Faculty of Teacher Training and Education, Jambi University, Jambi, Indonesia
3- Department of Public Health Sciences, Health Polytechnic Ministry of Health Jambi, Jambi, Indonesia
Abstract: (404 Views)
Aims: This study evaluated the effectiveness of information digitization using the ENNOE method in enhancing knowledge and treatment adherence among people living with AIDS.
Materials & Methods: This study employed a research and development design, followed by a one-group pre-test-post-test approach with 30 randomly selected participants undergoing antiretroviral therapy, and was conducted in 2024 in Jambi City, Indonesia. The intervention was delivered through the ENNOE method, which encompasses engagement, education, monitoring, and adherence. Data were collected using structured questionnaires assessing knowledge and antiretroviral therapy adherence before and after the intervention. Statistical analyses, including chi-square tests, paired t-tests, and Cohen’s d effect size, were conducted to evaluate the intervention’s effectiveness.
Findings: The baseline patient knowledge and adherence to antiretroviral therapy were relatively low prior to the intervention. However, a significant improvement was observed following the intervention. The mean knowledge score increased from 43.0±4.7 to 60.8±6.9 (p=0.001, Cohen’s d=3.01), while medication adherence improved from 57.7±2.5 to 68.5±5.1 (p=0.001, Cohen’s d=2.68), demonstrating a substantial effect. Additionally, education level and marital status were identified as factors influencing antiretroviral therapy adherence.
Conclusion: The ENNOE method through digital health information delivery enhances knowledge and adherence to antiretroviral therapy among people living with HIV.
Materials & Methods: This study employed a research and development design, followed by a one-group pre-test-post-test approach with 30 randomly selected participants undergoing antiretroviral therapy, and was conducted in 2024 in Jambi City, Indonesia. The intervention was delivered through the ENNOE method, which encompasses engagement, education, monitoring, and adherence. Data were collected using structured questionnaires assessing knowledge and antiretroviral therapy adherence before and after the intervention. Statistical analyses, including chi-square tests, paired t-tests, and Cohen’s d effect size, were conducted to evaluate the intervention’s effectiveness.
Findings: The baseline patient knowledge and adherence to antiretroviral therapy were relatively low prior to the intervention. However, a significant improvement was observed following the intervention. The mean knowledge score increased from 43.0±4.7 to 60.8±6.9 (p=0.001, Cohen’s d=3.01), while medication adherence improved from 57.7±2.5 to 68.5±5.1 (p=0.001, Cohen’s d=2.68), demonstrating a substantial effect. Additionally, education level and marital status were identified as factors influencing antiretroviral therapy adherence.
Conclusion: The ENNOE method through digital health information delivery enhances knowledge and adherence to antiretroviral therapy among people living with HIV.
Keywords: Health Literacy [MeSH], Medication Adherence [MeSH], HIV Infections [MeSH], Patient Education as Topic [MeSH]
Article Type: Original Research |
Subject:
Technology of Health Education
Received: 2025/01/26 | Accepted: 2025/02/24 | Published: 2025/04/25
Received: 2025/01/26 | Accepted: 2025/02/24 | Published: 2025/04/25
References
1. Prabhu SR, Van Wagoner N. Human immunodeficiency virus infection and acquired immunodeficiency syndrome (HIV/AIDS): An overview. In: Sexually transmissible oral diseases. Hoboken: Wiley Online Library; 2023. p. 51-71. [Link] [DOI:10.1002/9781119826781.ch5]
2. Gillespie SL, Chinen J, Paul ME, Shearer WT. Human immunodeficiency virus infection and acquired immunodeficiency syndrome. In: Clinical immunology. Amsterdam: Elsevier; 2019. p. 545-60. [Link] [DOI:10.1016/B978-0-7020-6896-6.00039-9]
3. Guatelli JC, Siliciano RF, Kuritzkes DR, Richman DD. Human immunodeficiency virus. In: Clinical virology. Hoboken: Wiley Online Library; 2009. p. 737-83. [Link] [DOI:10.1128/9781555815981.ch33]
4. Mwende Wairimu G. The global burden of HIV and progress toward the 2030 UNAIDS targets: A comprehensive review. Res Output J Public Health Med. 2024;3(3):46-51. [Link] [DOI:10.59298/ROJPHM/2024/334651]
5. Papworth E, Ceesay N, An L, Thiam‐Niangoin M, Ky‐Zerbo O, Holland C, et al. Epidemiology of HIV among female sex workers, their clients, men who have sex with men and people who inject drugs in West and Central Africa. J Int AIDS Soc. 2013;16(4 Suppl 3):18751. [Link] [DOI:10.7448/IAS.16.4.18751]
6. Baral SD, Friedman MR, Geibel S, Rebe K, Bozhinov B, Diouf D, et al. Male sex workers: Practices, contexts, and vulnerabilities for HIV acquisition and transmission. Lancet. 2015;385(9964):260-73. [Link] [DOI:10.1016/S0140-6736(14)60801-1]
7. Baral SD, Grosso A, Holland C, Papworth E. The epidemiology of HIV among men who have sex with men in countries with generalized HIV epidemics. Curr Opin HIV AIDS. 2014;9(2):156-67. [Link] [DOI:10.1097/COH.0000000000000037]
8. Kemenkes. 2023 Basic Health Research Report [Internet]. Jakarta: Kemenkes; 2023 [cited 2024, Desember,12]. Available from: https://www.badankebijakan.kemkes.go.id/laporan-hasil-survei/. [Indonesian] [Link]
9. Xuan Tran B, Thanh Nguyen L, Hoang Nguyen N, Van Hoang Q. Determinants of antiretroviral treatment adherence among HIV/AIDS patients: A multisite study. Glob Health Action. 2013;6(1):19570. [Link] [DOI:10.3402/gha.v6i0.19570]
10. Stricker SM, Fox KA, Baggaley R, Negussie E, De Pee S, Grede N, et al. Retention in care and adherence to ART are critical elements of HIV care interventions. AIDS Behav. 2014;18:465-75. [Link] [DOI:10.1007/s10461-013-0598-6]
11. Duthely LM, Sanchez-Covarrubias AP. Digitized HIV/AIDS treatment adherence interventions: A review of recent SMS/texting mobile health applications and implications for theory and practice. Front Commun. 2020;5:530164. [Link] [DOI:10.3389/fcomm.2020.530164]
12. Castano PM, Stockwell MS, Malbon KM. Using digital technologies to improve treatment adherence. Clin Obstet Gynecol. 2013;56(3):434-45. [Link] [DOI:10.1097/GRF.0b013e3182988a3b]
13. Calthorpe RJ, Smith S, Gathercole K, Smyth AR. Using digital technology for home monitoring, adherence and self-management in cystic fibrosis: A state-of-the-art review. Thorax. 2020;75(1):72-7. [Link] [DOI:10.1136/thoraxjnl-2019-213233]
14. Peltzer K, Friend-du Preez N, Ramlagan S, Anderson J. Antiretroviral treatment adherence among HIV patients in KwaZulu-Natal, South Africa. BMC Public Health. 2010;10:111. [Link] [DOI:10.1186/1471-2458-10-111]
15. Youn B, Shireman TI, Lee Y, Galárraga O, Wilson IB. Trends in medication adherence in HIV patients in the US, 2001 to 2012: An observational cohort study. J Int AIDS Soc. 2019;22(8):e25382. [Link] [DOI:10.1002/jia2.25382]
16. Cotter S, Yamamoto J, Stevenson C. A systematic characterization of food safety training interventions using the analyze, design, develop, implement, evaluate (ADDIE) instructional design framework. Food Control. 2023;145:109415. [Link] [DOI:10.1016/j.foodcont.2022.109415]
17. Mdodana-Zide L. Using ADDIE model for scaffolded learning and teaching intervention. Interdiscip J Educ Res. 2024;6:1-15. [Link] [DOI:10.38140/ijer-2024.vol6.28]
18. Arifin B, Rokhman MR, Zulkarnain Z, Perwitasari DA, Manggau M, Rauf S, et al. Adaptation and validation of the HIV knowledge questionnaire-18 for the general population of Indonesia. Health Qual Life Outcomes. 2022;20(1):55. [Link] [DOI:10.1186/s12955-022-01963-5]
19. Kripalani S, Risser J, Gatti ME, Jacobson TA. Development and evaluation of the Adherence to Refills and Medications Scale (ARMS) among low-literacy patients with chronic disease. Value Health. 2009;12(1):118-23. [Link] [DOI:10.1111/j.1524-4733.2008.00400.x]
20. Yusuf AB. Adherence to ART among HIV infected female sex workers in Nigeria [dissertation]. Minneapolis: Walden University; 2019. [Link]
21. Simelane P, Amoateng AY, Soogun AO. Socio-demographic correlates of non-adherence to anti-retroviral therapy (ART) at a health clinic in Mpumalanga province, South Africa. Infect Dis trop Med. 2023;9:e1122. [Link]
22. Campbell LS, Knight L, Masquillier C, Wouters E. Including the household: Individual, community and household factors affecting antiretroviral therapy adherence after ART initiation in Cape town, South Africa. AIDS Behav. 2024;28(11):3733-47. [Link] [DOI:10.1007/s10461-024-04447-3]
23. Simelane TP. Socio-demographic factors affecting adherence to antiretroviral therapy in a wellness centre in South Africa. Potchefstroom: North-West University; 2019. [Link]
24. Jin J, Sklar GE, Min Sen Oh V, Chuen Li S. Factors affecting therapeutic compliance: A review from the patient's perspective. Ther Clin Risk Manag. 2008;4(1):269-86. [Link] [DOI:10.2147/TCRM.S1458]
25. Ponnusankar S, Surulivelrajan M, Anandamoorthy N, Suresh B. Assessment of impact of medication counseling on patients' medication knowledge and compliance in an outpatient clinic in South India. Patient Educ Couns. 2004;54(1):55-60. [Link] [DOI:10.1016/S0738-3991(03)00193-9]
26. Alm-Roijer C, Stagmo M, Udén G, Erhardt L. Better knowledge improves adherence to lifestyle changes and medication in patients with coronary heart disease. Eur J Cardiovasc Nurs. 2004;3(4):321-30. [Link] [DOI:10.1016/j.ejcnurse.2004.05.002]
27. Gascon JJ, Sánchez-Ortuño M, Llor B, Skidmore D, Saturno PJ. Why hypertensive patients do not comply with the treatment: Results from a qualitative study. Fam Pract. 2004;21(2):125-30. [Link] [DOI:10.1093/fampra/cmh202]
28. Whiteley LB, Olsen EM, Haubrick KK, Odoom E, Tarantino N, Brown LK. A review of interventions to enhance HIV medication adherence. Curr HIV/AIDS Rep. 2021;18(5):443-57. [Link] [DOI:10.1007/s11904-021-00568-9]
29. Cao B, Gupta S, Wang J, Hightow-Weidman LB, Muessig KE, Tang W, et al. Social media interventions to promote HIV testing, linkage, adherence, and retention: Systematic review and meta-analysis. J Med Internet Res. 2017;19(11):e394. [Link] [DOI:10.2196/jmir.7997]
30. Yardley L, Morrison L, Bradbury K, Muller I. The person-based approach to intervention development: Application to digital health-related behavior change interventions. J Med Internet Res. 2015;17(1):e30. [Link] [DOI:10.2196/jmir.4055]
31. Wang Z, Zhu Y, Cui L, Qu B. Electronic health interventions to improve adherence to antiretroviral therapy in people living with HIV: Systematic review and meta-analysis. JMIR mHealth uHealth. 2019;7(10):e14404. [Link] [DOI:10.2196/14404]
32. Street RL, Gold WR, Manning TR. Health promotion and interactive technology: Theoretical applications and future directions. London: Routledge; 2013. [Link] [DOI:10.4324/9780203811047]
33. Maloney KM, Bratcher A, Wilkerson R, Sullivan PS. Electronic and other new media technology interventions for HIV care and prevention: A systematic review. J Int AIDS Soc. 2020;23(1):e25439. [Link] [DOI:10.1002/jia2.25439]
34. Haberer JE, Sabin L, Amico KR, Orrell C, Galárraga O, Tsai AC, et al. Improving antiretroviral therapy adherence in resource‐limited settings at scale: A discussion of interventions and recommendations. J Int AIDS Soc. 2017;20(1):21371. [Link] [DOI:10.7448/IAS.20.1.21371]
35. Castel AD, Qasmieh S, Greenberg D, Ellenberger N, Howell TH, Griffith C, et al. Digital gaming to improve adherence among adolescents and young adults living with HIV: Mixed-methods study to test feasibility and acceptability. JMIR Serious Games. 2018;6(4):e10213. [Link] [DOI:10.2196/10213]
36. Daher J, Vijh R, Linthwaite B, Dave S, Kim J, Dheda K, et al. Do digital innovations for HIV and sexually transmitted infections work? Results from a systematic review (1996-2017). BMJ Open. 2017;7(11):e017604. [Link] [DOI:10.1136/bmjopen-2017-017604]
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