College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado.
Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, Colorado.
J Midwifery Womens Health. 2019 Sep;64(5):630-640. doi: 10.1111/jmwh.13009. Epub 2019 Jul 26.
Technology decision support with tailored patient education has the potential to improve maternal and child health outcomes. The purpose of this study was to develop StartSmart, a mobile health (mHealth) intervention to support evidence-based prenatal screening, brief intervention, and referral to treatment for risk and protective factors in pregnancy.
StartSmart was developed using Davis' Technology Acceptance Model with end users engaged in the technology development from initial concept to clinical testing. The prototype was developed based upon the current guidelines, focus group findings, and consultation with patient and provider experts. The prototype was then alpha tested by clinicians and patients. Clinicians were asked to give feedback on the screening questions, treatment, brief motivational interviewing, referral algorithms, and the individualized education materials. Clinicians were asked about the feasibility of using the materials to provide brief intervention or referral to treatment. Patients were interviewed using the think aloud technique, a cognitive engineering method used to inform the design of mHealth interventions. Interview questions were guided by the Screening, Brief Intervention, Referral to Treatment theory and attention to usefulness and usability.
Expert clinicians provided guidance on the screening instruments, resources, and practice guidelines. Clinicians suggested identifying specific prenatal visits for the screening (first prenatal visit, 28-week visit, and 36-week visit). Patients reported that the tablet-based screening was useful to promote adherence to guidelines and provided suggestions for improvement including more information on the diabetic diet and more resources for diabetes. During alpha testing, participants commented on navigability and usability. Patients reported favorable responses about question wording and ease of use.
Clinicians reported the use of mHealth to screen and counsel pregnant patients on risk and protective factors facilitated their ability to provide comprehensive care.
通过定制的患者教育来提供技术决策支持,有潜力改善母婴健康结局。本研究的目的是开发 StartSmart,这是一种移动健康(mHealth)干预措施,旨在支持基于证据的产前筛查、简短干预和对妊娠风险和保护因素的治疗转诊。
StartSmart 的开发采用了戴维斯的技术接受模型,让最终用户从最初的概念到临床测试都参与到技术开发中。该原型是根据当前指南、焦点小组的发现以及与患者和提供者专家的咨询而开发的。然后,该原型由临床医生和患者进行 alpha 测试。临床医生被要求对筛查问题、治疗、简短动机访谈、转诊算法和个性化教育材料提供反馈。临床医生被问到使用这些材料提供简短干预或转诊治疗的可行性。患者使用出声思维技术进行访谈,这是一种用于告知 mHealth 干预措施设计的认知工程方法。访谈问题由筛查、简短干预、转诊治疗理论指导,并关注有用性和可用性。
专家临床医生为筛查工具、资源和实践指南提供了指导。临床医生建议为筛查确定特定的产前访视时间(第一次产前访视、28 周访视和 36 周访视)。患者报告说,基于平板电脑的筛查有助于促进对指南的遵守,并提出了改进建议,包括更多关于糖尿病饮食的信息和更多的糖尿病资源。在 alpha 测试期间,参与者对可操作性和可用性发表了评论。患者对问题措辞和易用性的反馈较为积极。
临床医生报告说,使用 mHealth 对妊娠风险和保护因素进行筛查和咨询,有助于他们提供全面护理的能力。