Development and acceptability of a gestational diabetes mellitus prevention system (Better pregnancy) based on a user-centered approach: A clinical feasibility study

被引:1
作者
Duan, Beibei [1 ,2 ]
Zhou, Zheyi [3 ]
Liu, Mengdi [1 ]
Liu, Zhe [1 ]
Zhang, Qianghuizi [1 ]
Liu, Leyang [1 ]
Ma, Cunhao [1 ]
Gou, Baohua [4 ]
Liu, Weiwei [1 ]
机构
[1] Capital Med Univ, Sch Nursing, 10 Youanmen Outer West 1st St, Beijing 100069, Peoples R China
[2] Capital Med Univ, Beijing Shijitan Hosp, Beijing, Peoples R China
[3] Melbourne Med Sch, Dept Western Hosp Gen Surg, Melbourne, Australia
[4] Capital Med Univ, Friendship Hosp, Dept Obstet & Gynecol, Beijing, Peoples R China
来源
DIGITAL HEALTH | 2024年 / 10卷
基金
中国国家自然科学基金;
关键词
Diabetes; gestational; prevention; mobile applications; health belief model; user-centered design; acceptability; RANDOMIZED CONTROLLED-TRIAL; PHYSICAL-ACTIVITY; WEIGHT-GAIN; INTERVENTIONS; EXERCISE; OUTCOMES; PROGRAM; WOMEN; RISK;
D O I
10.1177/20552076241266056
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Gestational diabetes mellitus (GDM) can increase the risk of adverse outcomes for both mothers and infants. Preventive interventions can effectively assist pregnant women suffering from GDM. At present, pregnant women are unaware of the importance of preventing GDM, and they possess a low level of self-management ability. Recently, mHealth technology has been used worldwide. Therefore, developing a mobile health app for GDM prevention could potentially help pregnant women reduce the risk of GDM. Objective: To design and develop a mobile application, evaluate its acceptance, and understand the users'using experience and suggestions, thus providing a valid tool to assist pregnant women at risk of GDM in enhancing their self-management ability and preventing GDM. Methods: An evidence-based GDM prevent app (Better pregnancy) was developed using user-centered design methods, following the health belief model, and incorporating GDM risk prediction. A convenient sampling method was employed from June to August 2022 to select 102 pregnant women at risk of GDM for the pilot study. After a week, the app's acceptability was evaluated using an application acceptance questionnaire, and we updated the app based on the feedback from the women. We used SPSS 26.0 for data analysis. Results: The application offers various functionalities, including GDM risk prediction, health management plan, behavior management, health information, personalized guidance and consultation, peer support, family support, and other functions. In total, 102 pregnant women consented to participate in the study, achieving a retention rate of 98%; however, 2% (n = 2) withdrew. The Better pregnancy app's average acceptability score is 4.07 out of 5. Additionally, participants offered several suggestions aimed at enhancing the application. Conclusions: The Better pregnancy app developed in this study can serve as an auxiliary management tool for the prevention of GDM, providing a foundation for subsequent randomized controlled trials.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China
    Zhao, Doudou
    Chen, Jie
    Li, Xiayang
    Huang, Yishuai
    Zhang, Yu
    Zhao, Fuyang
    Liu, Danmeng
    Shan, Li
    Mi, Yang
    Shang, Lei
    Qu, Pengfei
    BMC PREGNANCY AND CHILDBIRTH, 2025, 25 (01)
  • [32] Immersive Virtual Reality Avatars for Embodiment Illusions in People With Mild to Borderline Intellectual Disability: User-Centered Development and Feasibility Study
    Langener, Simon
    Klaassen, Randy
    VanDerNagel, Joanne
    Heylen, Dirk
    JMIR SERIOUS GAMES, 2022, 10 (04):
  • [33] Diabetes mellitus and abnormal glucose tolerance development after gestational diabetes: A three-year, prospective, randomized, clinical-based, Mediterranean lifestyle interventional study with parallel groups
    Perez-Ferre, Natalia
    Del Valle, Laura
    Jose Torrejon, Maria
    Barca, Idoya
    Isabel Calvo, Maria
    Matia, Pilar
    Rubio, Miguel A.
    Calle-Pascual, Alfonso L.
    CLINICAL NUTRITION, 2015, 34 (04) : 579 - 585
  • [34] Development, feasibility and acceptability of a self-efficacy-enhancing smartphone application among pregnant women with gestational diabetes mellitus: single- arm pilot clinical trial
    Al Hashmi, Iman
    Alsabti, Hilal
    Al Omari, Omar
    Al Nasseri, Yusra
    Khalaf, Atika
    BMC PREGNANCY AND CHILDBIRTH, 2022, 22 (01)
  • [35] Development, feasibility and acceptability of a self-efficacy-enhancing smartphone application among pregnant women with gestational diabetes mellitus: single- arm pilot clinical trial
    Iman Al Hashmi
    Hilal Alsabti
    Omar Al Omari
    Yusra Al Nasseri
    Atika Khalaf
    BMC Pregnancy and Childbirth, 22
  • [36] Feasibility and acceptability of continuous glucose monitoring in pregnancy for the diagnosis of gestational diabetes: A single-centre prospective mixed methods study
    Kusinski, Laura C.
    Brown, Joanne
    Hughes, Deborah J.
    Meek, Claire L.
    PLOS ONE, 2023, 18 (09):
  • [37] A Prediction Model of Gestational Diabetes Mellitus Based on OGTT in Early Pregnancy: A Prospective Cohort Study
    Wu, Shan
    Li, Linghui
    Hu, Kai-Lun
    Wang, Siwen
    Zhang, Runju
    Chen, Ruixue
    Liu, Le
    Wang, Danni
    Pan, Minge
    Zhu, Bo
    Wang, Yue
    Yuan, Changzheng
    Zhang, Dan
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2023, 108 (08) : 1998 - 2006
  • [38] Boosting Agile by Using User-Centered Design and Lean Startup: A Case Study of the Adoption of the Combined Approach in Software Development
    Signoretti, Ingrid
    Marczak, Sabrina
    Salerno, Larissa
    de Lara, Augusto
    Bastos, Ricardo
    2019 13TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2019), 2019, : 213 - 218
  • [39] Development & Evaluation of E-Learning Module Based on Visual and Global Preferences Using a User-Centered Design Approach
    Santoso, Harry Budi
    Putra, Panca O. Hadi
    Hendra, Febrian Fikar Farras
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, 16 (15) : 139 - 151
  • [40] Development and validation of a clinical model for preconception and early pregnancy risk prediction of gestational diabetes mellitus in nulliparous women
    Donovan, Brittney M.
    Breheny, Patrick J.
    Robinson, Jennifer G.
    Baer, Rebecca J.
    Saftlas, Audrey F.
    Bao, Wei
    Greiner, Andrea L.
    Carter, Knute D.
    Oltman, Scott P.
    Rand, Larry
    Jelliffe-Pawlowski, Laura L.
    Ryckman, Kelli K.
    PLOS ONE, 2019, 14 (04):