Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Department of Pediatrics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
BMJ Open Diabetes Res Care. 2022 Jan;10(1). doi: 10.1136/bmjdrc-2021-002583.
To optimize type 1 diabetes mellitus self-management, experts recommend a person-centered approach, in which care is tailored to meet people's needs and preferences. Existing tools for tailoring type 1 diabetes mellitus education and support are limited by narrow focus, lack of strong association with meaningful outcomes like A1c, or having been developed before widespread use of modern diabetes technology. To facilitate comprehensive, effective tailoring for today's working-aged adults with type 1 diabetes mellitus, we developed and validated the Barriers and Supports Evaluation (BASES).
Participants 25-64 years of age with type 1 diabetes mellitus were recruited from clinics and a population-based registry. Content analysis of semistructured interviews (n=33) yielded a pool of 136 items, further refined to 70 candidate items on a 5-point Likert scale through cognitive interviewing and piloting. To develop and validate the tool, factor analyses were applied to responses to candidate items (n=392). Additional survey data included demographics and the Diabetes-Specific Quality of Life (QOL) Scale-Revised. To evaluate concurrent validity, hemoglobin A1c (HbA1c) values and QOL scores were regressed on domain scores.
Factor analyses yielded 5 domains encompassing 30 items: Learning Opportunities, Costs and Insurance, Family and Friends, Coping and Behavioral Skills, and Diabetes Provider Interactions. Models exhibited good to adequate fit (Comparative Fit Index >0.88 and Root Mean Squared Error of Approximation <0.06). All domains demonstrated significant associations with HbA1c and QOL in the expected direction, except Family and Friends. Coping and Behavioral Skills had the strongest associations with both HbA1c and QOL.
The BASES is a valid, comprehensive, person-centered tool that can tailor diabetes support and education to individuals' needs in a modern practice environment, improving effectiveness and uptake of services. Clinicians could use the tool to uncover patient-specific barriers that limit success in achieving HbA1c goals and optimal QOL.
为了优化 1 型糖尿病的自我管理,专家建议采用以患者为中心的方法,根据患者的需求和偏好提供个性化的护理。现有的 1 型糖尿病教育和支持的定制工具受到关注范围狭窄、与 A1c 等有意义的结果缺乏强有力的关联,或在现代糖尿病技术广泛应用之前开发等因素的限制。为了促进今天的成年 1 型糖尿病患者全面、有效地进行个性化治疗,我们开发并验证了障碍和支持评估(BASES)。
从诊所和人群登记处招募了年龄在 25-64 岁的 1 型糖尿病患者。对 33 名参与者的半结构化访谈进行内容分析,得出了 136 个项目的集合,通过认知访谈和试点进一步细化为 70 个候选项目的 5 点李克特量表。为了开发和验证该工具,对候选项目(n=392)的反应进行了因子分析。其他调查数据包括人口统计学资料和经过修订的糖尿病特定生活质量(QOL)量表。为了评估同时效度,将血红蛋白 A1c(HbA1c)值和 QOL 评分回归到各域评分上。
因子分析产生了 5 个包含 30 个项目的域:学习机会、成本和保险、家庭和朋友、应对和行为技能、以及糖尿病提供者互动。模型表现出良好到足够的拟合(比较拟合指数>0.88 和均方根误差逼近<0.06)。除家庭和朋友外,所有域都与 HbA1c 和 QOL 呈预期方向的显著关联。应对和行为技能与 HbA1c 和 QOL 的关联最强。
BASES 是一种有效的、全面的、以患者为中心的工具,可以根据个人在现代实践环境中的需求调整糖尿病的支持和教育,提高服务的有效性和采用率。临床医生可以使用该工具发现限制患者实现 HbA1c 目标和最佳 QOL 的具体障碍。