“Bi'Kilo” Mobil Uygulamasında İnternet Tabanlı Kilo Kontrolü Müdahalesi: Kullanılabilirlik, Kabul Edilebilirlik ve Kullanıcı Deneyimlerine İlişkin Nitel Bir Analiz

Öz

Bu çalışma, kullanıcılarının kilo kontrolünü kolaylaştırmak ve sağlıklı yaşam tarzı tercihlerini teşvik etmek amacıyla tasarlanan “Bi'Kilo” mobil uygulamasının kullanılabilirliğini, kabul edilebilirliğini ve kullanıcı deneyimlerini değerlendirmeyi amaçlamıştır. Nitel bir araştırma deseninin kullanıldığı araştırmada, “Bi'Kilo” uygulamasının sekiz kullanıcısı ile görüşmeler yapılmıştır. Bu yaklaşım, katılımcıların algılarının, deneyimlerinin ve uygulama ile etkileşimlerinin kapsamlı bir şekilde anlaşılmasını sağlamıştır. Görüşmelerden elde edilen veriler, uygulamanın kullanılabilirliği, kullanıcıların kilo kontrolü çabaları üzerindeki etkisi ve genel kullanıcı deneyimi ile ilgili temaları belirlemek için titizlikle analiz edilmiştir. Bu analiz, kullanıcıların bakış açısından “Bi'Kilo” uygulamasının güçlü ve zayıf yönlerini anlamada çok önemlidir. Bulgular, kullanıcıların uygulamayı kilo kontrolünü ve sağlıklı bir yaşam tarzını teşvik etmedeki rolü nedeniyle takdir ettiklerini, özellikle kişiselleştirilmiş geri bildirim ve multimedya içeriğinin faydalı özellikler olarak vurgulandığını ortaya koymuştur. Bununla birlikte, teknik aksaklıklar ve teorik içerik yerine daha çok uygulamaya dönük içeriklerin tercih edilmesi gibi konularda çeşitli güçlükler belirlenmiştir. Çalışma, uygulamanın daha da geliştirilerek işlevselliğinin artırılması, profesyonel görüşlerin entegrasyonu ve kullanıcıların gereksinim ve tercihlerinin daha iyi karşılanması için kişiselleştirmenin iyileştirilmesi gibi gelecekteki araştırmalar için çeşitli önerileri bildirmektedir. Bu bileşenler “Bi'Kilo” uygulamasının kapsamlı bir incelemesini sunmakta, uygulamanın geliştirilmesi ve daha geniş sağlık bilişim alanı için önemli görüşler sağlamaktadır.

Anahtar Kelimeler

• mobil sağlık uygulamaları
• kilo kontrolü
• kullanıcı deneyimi
• kullanılabilirlik
• kabul edilebilirlik

Internet-based Weight Control Intervention in “Bi’Kilo” Mobile App: A Qualitative Analysis of Usability, Acceptability And User Experiences

Öz

The study aimed to evaluate the usability, acceptability, and user experiences of the "Bi'Kilo" mobile app, which is designed to facilitate weight management and encourage healthy lifestyle choices among its users. Employing a qualitative research design, the investigation involved in-depth interviews with eight users of the "Bi'Kilo" app. This approach gave a comprehensive understanding of participants' perceptions, experiences, and interactions with the application. Data from the interviews were meticulously analyzed to identify themes related to the app's usability, its impact on users' weight management efforts, and the overall user experience. This analysis was pivotal in understanding the strengths and weaknesses of the "Bi'Kilo" app from the perspective of its users. The findings revealed that users appreciated the app's role in promoting weight control and a healthy lifestyle, particularly highlighting personalized feedback and including multimedia content as beneficial features. Nonetheless, challenges were identified, including technical difficulties and a preference for more actionable advice over theoretical content. The study suggests several avenues for future research, including further refinement of the app to enhance its flexibility, integration of professional insights, and improvement in personalization to meet users' needs and preferences better. These components collectively provide a thorough examination of the "Bi'Kilo" app, offering valuable insights into its development and the broader health informatics field.

Anahtar Kelimeler

• mobile health applications
• weight management
• user experience
• usability
• acceptability

Kaynakça

1. 1. Ufholz K, Werner J. The Efficacy of Mobile Applications for Weight Loss. Curr Cardiovasc Risk Rep. 2023;17(4):83-90.
2. 2. Yien JM, Wang HH, Wang RH, Chou FH, Chen KH, Tsai FS. Effect of Mobile Health Technology on Weight Control in Adolescents and Preteens: A Systematic Review and Meta-Analysis. Front Public Health. 2021;9:708321.
3. 3. Tabatabaei SM, Ghaedi R, Khonsaraki EA, Talebi A. Application of mobile health to improve self-care among pregnant women: a literature review. Journal of Medical Physiology. 2020;5(1):1.
4. 4. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362.
5. 5. Ben-Zeev D, Scherer EA, Wang R, Xie H, Campbell AT. Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. Psychiatr Rehabil J. 2015;38(3):218-26.
6. 6. Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. Journal of medical Internet research. 2015;17(2):e52.
7. 7. Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth. 2018;6(1):e23.
8. 8. Krebs P, Duncan DT. Health App Use Among US Mobile Phone Owners: A National Survey. JMIR mHealth and uHealth. 2015;3(4):e101.

9. 9. Stec MA, Arbour MW, Hines HF. Client-Centered Mobile Health Care Applications: Using the Mobile Application Rating Scale Instrument for Evidence-Based Evaluation. J Midwifery Womens Health. 2019;64(3):324-9.
10. 10. Kupila SKE, Joki A, Suojanen LU, Pietilainen KH. The Effectiveness of eHealth Interventions for Weight Loss and Weight Loss Maintenance in Adults with Overweight or Obesity: A Systematic Review of Systematic Reviews. Curr Obes Rep. 2023;12(3):371-94.
11. 11. Ajzen I. The theory of planned behavior. Organizational behavior and human decision processes. 1991;50(2):179-211.
12. 12. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist. 2000;55(1):68-78.
13. 13. S. Digital Interventions on Healthy Lifestyle Management: Systematic Review. J Med Internet Res. 2021;23(11):e26931.
14. 14. Naderpoor N, Barmare A, Skouteris H, Jack B, Teede H. Editorial: Using technology for healthy lifestyle and weight management. Front Endocrinol (Lausanne). 2022;13:973006.
15. 15. Rivera J, McPherson A, Hamilton J, Birken C, Coons M, Iyer S, et al. Mobile Apps for Weight Management: A Scoping Review. JMIR mHealth and uHealth. 2016;4(3):e87.
16. 16. Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, et al. Mobile applications for weight management: theory-based content analysis. Am J Prev Med. 2013;45(5):583-9.
17. 17. World Health Organisation. Obesity and Overweight 2024 [Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
18. 18. Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001;285(9):1172-7.
19. 19. Hutchesson MJ, Rollo ME, Krukowski R, Ells L, Harvey J, Morgan PJ, et al. eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta-analysis. Obes Rev. 2015;16(5):376-92.
20. 20. Islam MM, Poly TN, Walther BA, Jack Li YC. Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis. JMIR mHealth and uHealth. 2020;8(7):e17039.
21. 21. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. Am J Prev Med. 2019;56(6):894-903.
22. 22. Likhitweerawong N, Boonchooduang N, Kittisakmontri K, Chonchaiya W, Louthrenoo O. Effectiveness of mobile application on changing weight, healthy eating habits, and quality of life in children and adolescents with obesity: a randomized controlled trial. BMC Pediatr. 2021;21(1):499.
23. 23. Schmidt-Kraepelin M, Toussaint PA, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth. 2020;8(10):e19280.
24. 24. Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res. 2013;15(4):e86.
25. 25. Miller AS, Cafazzo JA, Seto E. A game plan: Gamification design principles in mHealth applications for chronic disease management. Health Informatics J. 2016;22(2):184-93.
26. 26. Armitage LC, Kassavou A, Sutton S. Do mobile device apps designed to support medication adherence demonstrate efficacy? A systematic review of randomised controlled trials, with meta-analysis. BMJ Open. 2020;10(1):e032045.
27. 27. Saleem M, Kuhne L, De Santis KK, Christianson L, Brand T, Busse H. Understanding Engagement Strategies in Digital Interventions for Mental Health Promotion: Scoping Review. JMIR Ment Health. 2021;8(12):e30000.
28. 28. Hernandez-Reyes A, Molina-Recio G, Molina-Luque R, Romero-Saldana M, Camara-Martos F, Moreno-Rojas R. Effectiveness of PUSH notifications from a mobile app for improving the body composition of overweight or obese women: a protocol of a three-armed randomized controlled trial. BMC Med Inform Decis Mak. 2020;20(1):40.
29. 29. Schnall R, Rojas M, Bakken S, Brown W, Carballo-Dieguez A, Carry M, et al. A user-centered model for designing consumer mobile health (mHealth) applications (apps). J Biomed Inform. 2016;60:243-51.
30. 30. Serrano KJ, Yu M, Coa KI, Collins LM, Atienza AA. Mining Health App Data to Find More and Less Successful Weight Loss Subgroups. J Med Internet Res. 2016;18(6):e154.
31. 31. Lazard AJ, Babwah Brennen JS, Belina SP. App Designs and Interactive Features to Increase mHealth Adoption: User Expectation Survey and Experiment. JMIR mHealth and uHealth. 2021;9(11):e29815.
32. 32. Ghelani DP, Moran LJ, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Front Endocrinol (Lausanne). 2020;11:412.
33. 33. Creswell JW, Poth CN. Qualitative inquiry and research design: Choosing among five approaches: Sage publications; 2016.
34. 34. Patton MQ. Qualitative research & evaluation methods: Integrating theory and practice: Sage publications; 2014.
35. 35. Dağhan G, Akkoyunlu B. A qualitative study about performance based assesment methods used in information technologies lesson. Kuram Ve Uygulamada Egitim Bilimleri. 2014;14(1).
36. 36. Yıldırım A, Şimşek H. Sosyal bilimlerde nitel araştırma yöntemleri (12. Baskı) Seçkin. 2021.
37. 37. Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field methods. 2006;18(1):59-82.
38. 38. Fraenkel J, Wallen N, Hyun H. How to Design and Evaluate Research in Education. NewYork: McGrawHill 2012.
39. 39. Kvale S. InterViews: Learning the craft of qualitative research interviewing: Sage; 2009.
40. 40. Giorgi A. The Descriptive Phenomenological Psychological Method. Journal of Phenomenological Psychology. 2012;43(1):3-12.
41. 41. Payne HE, Lister C, West JH, Bernhardt JM. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR mHealth and uHealth. 2015;3(1):e20.
42. 42. Peng W, Kanthawala S, Yuan S, Hussain SA. A qualitative study of user perceptions of mobile health apps. BMC Public Health. 2016;16(1):1158.
43. 43. KL, Emery CF. Mindfulness and weight loss: a systematic review. Psychosom Med. 2015;77(1):59-67.