Agbadje Titilayo Tatiana, Pilon Chantale, Bérubé Pierre, Forest Jean-Claude, Rousseau François, Rahimi Samira Abbasgholizadeh, Giguère Yves, Légaré France
VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et services sociaux de la Capitale-Nationale, Quebec, QC, Canada.
Greybox Solutions Inc, Montreal, QC, Canada.
JMIR Pediatr Parent. 2022 Sep 6;5(3):e35381. doi: 10.2196/35381.
Mobile health tools can support shared decision-making. We developed a computer-based decision aid (DA) to help pregnant women and their partners make informed, value-congruent decisions regarding prenatal screening for trisomy.
This study aims to assess the usability and usefulness of computer-based DA among pregnant women, clinicians, and policy makers.
For this mixed methods sequential explanatory study, we planned to recruit a convenience sample of 45 pregnant women, 45 clinicians from 3 clinical sites, and 15 policy makers. Eligible women were aged >18 years and >16 weeks pregnant or had recently given birth. Eligible clinicians and policy makers were involved in prenatal care. We asked the participants to navigate a computer-based DA. We asked the women about the usefulness of the DA and their self-confidence in decision-making. We asked all participants about usability, quality, acceptability, satisfaction with the content of the DA, and collected sociodemographic data. We explored participants' reactions to the computer-based DA and solicited suggestions. Our interview guide was based on the Mobile App Rating Scale. We performed descriptive analyses of the quantitative data and thematic deductive and inductive analyses of the qualitative data for each participant category.
A total of 45 pregnant women, 14 clinicians, and 8 policy makers participated. Most pregnant women were aged between 25 and 34 years (34/45, 75%) and White (42/45, 94%). Most clinicians were aged between 35 and 44 years (5/14, 36%) and women (11/14, 79%), and all were White (14/14, 100%); the largest proportion of policy makers was aged between 45 and 54 years (4/8, 50%), women (5/8, 62%), and White (8/8, 100%). The mean usefulness score for preparing for decision-making for women was 80/100 (SD 13), and the mean self-efficacy score was 88/100 (SD 11). The mean usability score was 84/100 (SD 14) for pregnant women, 77/100 (SD 14) for clinicians, and 79/100 (SD 23) for policy makers. The mean global score for quality was 80/100 (SD 9) for pregnant women, 72/100 (SD 12) for clinicians, and 80/100 (SD 9) for policy makers. Regarding acceptability, participants found the amount of information just right (52/66, 79%), balanced (58/66, 88%), useful (38/66, 58%), and sufficient (50/66, 76%). The mean satisfaction score with the content was 84/100 (SD 13) for pregnant women, 73/100 (SD 16) for clinicians, and 73/100 (SD 20) for policy makers. Participants thought the DA could be more engaging (eg, more customizable) and suggested strategies for implementation, such as incorporating it into clinical guidelines.
Pregnant women, clinicians, and policy makers found the DA usable and useful. The next steps are to incorporate user suggestions for improving engagement and implementing the computer-based DA in clinical practice.
移动健康工具可支持共同决策。我们开发了一种基于计算机的决策辅助工具(DA),以帮助孕妇及其伴侣就三体综合征的产前筛查做出明智的、符合价值观的决策。
本研究旨在评估基于计算机的DA在孕妇、临床医生和政策制定者中的可用性和有用性。
对于这项混合方法的顺序解释性研究,我们计划招募一个便利样本,包括45名孕妇、来自3个临床地点的45名临床医生和15名政策制定者。符合条件的女性年龄>18岁,孕周>16周或最近分娩。符合条件的临床医生和政策制定者参与产前护理。我们要求参与者操作基于计算机的DA。我们询问女性关于DA的有用性以及她们在决策中的自信心。我们询问所有参与者关于可用性、质量、可接受性以及对DA内容的满意度,并收集社会人口统计学数据。我们探讨了参与者对基于计算机的DA的反应并征求建议。我们的访谈指南基于移动应用评分量表。我们对定量数据进行描述性分析,对每个参与者类别中的定性数据进行主题演绎和归纳分析。
共有45名孕妇、14名临床医生和8名政策制定者参与。大多数孕妇年龄在25至34岁之间(34/共45名,75%),为白人(42/45名,94%)。大多数临床医生年龄在35至44岁之间(5/14名,36%),为女性(11/14名,79%),且均为白人(14/14名,100%);政策制定者中最大比例的年龄在45至54岁之间(4/8名,50%),为女性(5/8名,62%),且均为白人(8/8名,100%)。女性在为决策做准备方面的有用性平均得分是80/100(标准差13),自我效能感平均得分是88/100(标准差11)。孕妇的可用性平均得分是84/100(标准差14),临床医生为77/100(标准差14),政策制定者为79/100(标准差23)。质量的总体平均得分,孕妇为80/100(标准差9),临床医生为72/100(标准差12),政策制定者为80/100(标准差9)。在可接受性方面,参与者认为信息量恰到好处(52/66名,79%)、平衡(58/66名,88%)、有用(38/66名,58%)且足够(50/66名,76%)。孕妇对内容的满意度平均得分是84/100(标准差13),临床医生为73/100(标准差16),政策制定者为73/100(标准差20)。参与者认为DA可以更具吸引力(例如更具可定制性),并提出了实施策略,如将其纳入临床指南。
孕妇、临床医生和政策制定者认为该DA可用且有用。接下来的步骤是纳入用户关于提高吸引力的建议,并在临床实践中实施基于计算机的DA。