背景:罕见疾病影响全球数百万人,终生发病率为17分之一。它们很复杂,多系统,严重疾病,患者经历平均5.6年的诊断延迟与相关的误诊,不适当的治疗,和焦虑。MendelScan是一种数字病例查找工具,它使用结构化的初级保健数据来识别有可能受到一系列罕见疾病之一影响的患者。这项定性研究探讨了初级卫生保健专业人员实施这项技术的经验。
目的:了解初级卫生保健专业人员实施MendelScan的经验,重点关注他们对技术及其实施的看法,挑战和机遇。
方法:使用对调查的描述性分析和对专业人士的半结构化访谈对实施MendelScan进行定性评估。
结果:共有来自两个项目领域的11名专业人员参加。参与者包括全科医生,护士,遗传咨询师,和医疗保健经理。与会者报告说,他们得到了充分的支持,该项目增加了在初级保健中整合遗传学的信心,它可能会改善罕见疾病诊断的不公平性。专业人士的保留与知识有关,时间承诺,初级保健压力,接触患者,数据共享和保密,并克服了与非NHS外部机构共享数据的临床耐药性。
结论:这项研究为初级保健专业人员使用一种新颖的工具来识别罕见疾病的经验提供了宝贵的见解。这个工具的潜力是有希望的,有利于技能发展。大规模实施面临与初级保健能力有关的挑战,数据,和资金。
BACKGROUND: Rare diseases affect millions of people globally, with a lifetime incidence of 1 in 17. They are complex, multisystem, severe disease, and patients experience a diagnostic delay averaging 5.6 years with associated misdiagnoses, inappropriate treatments, and anxiety. MendelScan is a digital
case-finding tool that uses structured primary care data to identify patients at risk of being affected by one of a series of rare diseases. This qualitative study explored primary healthcare professionals\' experiences of implementing this technology.
OBJECTIVE: To develop an understanding of primary healthcare professionals\' experiences of implementing MendelScan with a focus on their perception of the technology and its implementation, challenges and opportunities.
METHODS: A qualitative appraisal of implementing MendelScan using descriptive analysis of surveys and semi-structured interviews with professionals.
RESULTS: A total of 11 professionals from the two project areas participated. Participants included GPs, nurses, a genetic counsellor, and healthcare managers.Participants reported that they received adequate support, the project increased confidence in integrating genetics in primary care, and that it may improve inequity in rare disease diagnosis. Professionals\' reservations were related to knowledge, time commitments, primary care pressures, contacting patients, data sharing and confidentiality, and overcoming clinical resistance in sharing data with a non-NHS external body.
CONCLUSIONS: This study provides a valuable insight into the experiences of primary care professionals using a novel tool to identify rare diseases. The potential of this tool is promising with benefits for skill development. Large-scale implementation faces challenges related to primary care capacity, data, and funding.