EPICORE Centre, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Department of Medicine, Cumming School of Medicine, University of Calgary, Edmonton, Alberta, Canada.
Can J Diabetes. 2024 Jun;48(4):259-268.e4. doi: 10.1016/j.jcjd.2024.02.003. Epub 2024 Feb 21.
Our aim in this work was to 1) explore barriers and enablers to patient and health-care provider (HCP) behaviours related to sick-day medication guidance (SDMG), 2) identify theory-informed strategies to advise SDMG intervention design, and 3) obtain perspectives on an eHealth tool for this purpose.
A qualitative descriptive study using qualitative conventional content analysis was undertaken. Interviews and focus groups were held with patients and HCPs from January 2021 to April 2022. Data were analyzed using the Behaviour Change Wheel and Theoretical Domains Framework to inform intervention design.
Forty-eight people (20 patients, 13 pharmacists, 12 family physicians, and 3 nurse practitioners) participated in this study. Three interventions were designed to address the identified barriers and enablers: 1) prescriptions provided by a community-based care provider, 2) pharmacists adding a label to at-risk medications, and 3) built-in prompts for prescribing and dispensing software. Most participants accepted the concept of an eHealth tool and identified pharmacists as the ideal point-of-care provider. Challenges for an eHealth tool were raised, including credibility, privacy of data, medical liability, clinician remuneration and workload impact, and equitable access to use of the tool.
Patients and HCPs endorsed non-technology and eHealth innovations as strategies to aid in the delivery of SDMG. These findings can guide the design of future theory-informed SDMG interventions.
本研究旨在:1)探索与患者和医疗保健提供者(HCP)行为相关的病假药物指导(SDMG)的障碍和促进因素,2)确定基于理论的策略以辅助 SDMG 干预设计,以及 3)了解用于此目的的电子健康工具的观点。
采用定性描述性研究,使用定性常规内容分析。于 2021 年 1 月至 2022 年 4 月期间对患者和 HCP 进行了访谈和焦点小组讨论。使用行为改变轮和理论领域框架对数据进行分析,以提供干预设计的信息。
共有 48 人(20 名患者、13 名药剂师、12 名家庭医生和 3 名执业护士)参与了这项研究。为了解决确定的障碍和促进因素,设计了三种干预措施:1)由社区护理提供者提供的处方,2)药剂师在高风险药物上添加标签,以及 3)内置的处方和配药软件提示。大多数参与者接受了电子健康工具的概念,并确定药剂师是理想的护理点提供者。提出了电子健康工具面临的挑战,包括可信度、数据隐私、医疗责任、临床医生薪酬和工作量影响以及公平获得使用工具的机会。
患者和 HCP 认可非技术和电子健康创新是辅助 SDMG 交付的策略。这些发现可以指导未来基于理论的 SDMG 干预措施的设计。