PDF(Pubmed)
Abstract：
BACKGROUND: Shared decision-making (SDM) is a patient-centred approach to improve the quality of care. An essential requirement for the SDM process is to be fully aware of patient information needs.
OBJECTIVE: Our study aimed to assess patient information needs for new antidiabetic medications using the best-worst scaling (BWS) experiment.
METHODS: BWS tasks were developed according to a literature review and the focus group discussion. We used a balanced incomplete block design and blocking techniques to generate choice sets. The final BWS contains 11 attributes, with 6-choice scenarios in each block. The one-to-one, face-to-face BWS survey was conducted among type 2 diabetic patients in Jiangsu Province. Results were analyzed using count-based analysis and modelling approaches. We also conducted a subgroup analysis to observe preference heterogeneity.
RESULTS: Data from 539 patients were available for analysis. The most desired information domain was the comparative effectiveness of new antidiabetic medications. It consists of the incidence of macrovascular complications, the length of extended life years, changes in health-related quality of life, the incidence of microvascular complications, and the control of glycated haemoglobin. Of all the attributes, the incidence of macrovascular complications was the primary concern. Patients\' glycemic control and whether they had diabetes complications exerted a significant influence on their information needs.
CONCLUSIONS: Information on health benefits is of critical significance for diabetic patients. Patients have different information needs as their disease progresses. Personalized patient decision aids that integrate patient information needs and provide evidence of new antidiabetic medications are worthy of being established.
UNASSIGNED: Before data collection, a pilot survey was carried out among diabetic patients to provide feedback on the acceptability and intelligibility of the attributes.
OBJECTIVE: Our study aimed to assess patient information needs for new antidiabetic medications using the best-worst scaling (BWS) experiment.
METHODS: BWS tasks were developed according to a literature review and the focus group discussion. We used a balanced incomplete block design and blocking techniques to generate choice sets. The final BWS contains 11 attributes, with 6-choice scenarios in each block. The one-to-one, face-to-face BWS survey was conducted among type 2 diabetic patients in Jiangsu Province. Results were analyzed using count-based analysis and modelling approaches. We also conducted a subgroup analysis to observe preference heterogeneity.
RESULTS: Data from 539 patients were available for analysis. The most desired information domain was the comparative effectiveness of new antidiabetic medications. It consists of the incidence of macrovascular complications, the length of extended life years, changes in health-related quality of life, the incidence of microvascular complications, and the control of glycated haemoglobin. Of all the attributes, the incidence of macrovascular complications was the primary concern. Patients\' glycemic control and whether they had diabetes complications exerted a significant influence on their information needs.
CONCLUSIONS: Information on health benefits is of critical significance for diabetic patients. Patients have different information needs as their disease progresses. Personalized patient decision aids that integrate patient information needs and provide evidence of new antidiabetic medications are worthy of being established.
UNASSIGNED: Before data collection, a pilot survey was carried out among diabetic patients to provide feedback on the acceptability and intelligibility of the attributes.
摘要：
背景：共享决策（SDM）是一种以患者为中心的方法，旨在提高护理质量。SDM流程的基本要求是充分了解患者信息需求。
目的：我们的研究旨在使用最佳-最差缩放（BWS）实验评估患者对新型抗糖尿病药物的信息需求。
方法：根据文献综述和焦点小组讨论制定了BWS任务。我们使用了平衡的不完整块设计和分块技术来生成选择集。最终的BWS包含11个属性，每个块都有6个选择的场景。一对一的,对江苏省2型糖尿病患者进行面对面BWS调查。使用基于计数的分析和建模方法对结果进行分析。我们还进行了亚组分析，以观察偏好异质性。
结果：539例患者的数据可用于分析。最需要的信息领域是新的抗糖尿病药物的相对有效性。它包括大血管并发症的发生率，延长寿命年的长度，健康相关生活质量的变化，微血管并发症的发生率，和糖化血红蛋白的控制。在所有属性中，大血管并发症的发生率是首要关注的问题.患者的血糖控制和是否有糖尿病并发症对他们的信息需求有显著影响。
结论：关于健康益处的信息对糖尿病患者具有重要意义。随着疾病的进展，患者有不同的信息需求。整合患者信息需求并提供新的抗糖尿病药物证据的个性化患者决策辅助工具值得建立。
■在数据收集之前，我们在糖尿病患者中进行了一项试点调查,以提供有关这些属性的可接受性和可理解性的反馈.
目的：我们的研究旨在使用最佳-最差缩放（BWS）实验评估患者对新型抗糖尿病药物的信息需求。
方法：根据文献综述和焦点小组讨论制定了BWS任务。我们使用了平衡的不完整块设计和分块技术来生成选择集。最终的BWS包含11个属性，每个块都有6个选择的场景。一对一的,对江苏省2型糖尿病患者进行面对面BWS调查。使用基于计数的分析和建模方法对结果进行分析。我们还进行了亚组分析，以观察偏好异质性。
结果：539例患者的数据可用于分析。最需要的信息领域是新的抗糖尿病药物的相对有效性。它包括大血管并发症的发生率，延长寿命年的长度，健康相关生活质量的变化，微血管并发症的发生率，和糖化血红蛋白的控制。在所有属性中，大血管并发症的发生率是首要关注的问题.患者的血糖控制和是否有糖尿病并发症对他们的信息需求有显著影响。
结论：关于健康益处的信息对糖尿病患者具有重要意义。随着疾病的进展，患者有不同的信息需求。整合患者信息需求并提供新的抗糖尿病药物证据的个性化患者决策辅助工具值得建立。
■在数据收集之前，我们在糖尿病患者中进行了一项试点调查,以提供有关这些属性的可接受性和可理解性的反馈.
