跳至主要内容
临床试验/NCT07782541
NCT07782541已完成不适用

Evaluating and Co-designing a Secondary Care Clinical Dashboard for Presenting Patient-generated Health Data in Axial Spondyloarthritis (axSpA) Care.

Royal United Hospitals Bath NHS Foundation Trust1 个研究点 分布在 1 个国家目标入组 17 人开始时间: 2026年2月10日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
17
试验地点
1
主要终点
Quotes and resulting themes from semi-structured interviews and workshops with patients and clinicians relating to self-management and patient-generated health data

研究概览

简要总结

Chronic health conditions are often managed in secondary care services that are facing long waiting lists, limited appointment times, and financial pressures. With the increasing availability of mobile devices including smartphones and wearables, patients can collect vast amounts of patient-generated health data (PGHD) outside of the clinic. This includes symptoms, biometrics and treatment adherence, providing clinicians with a more complete picture of patients' health. This data has the potential to support more insightful patient-clinician collaboration based on lived experiences; to enable remote clinical review; and ultimately, to improve the efficiency and quality of care. Clinicians and patients have expressed significant interest in using PGHD to manage their health, yet most attempts to review this data in clinic are unsuccessful. This project will investigate this problem with a case study in axial spondyloarthritis (axSpA) care. Firstly, a model will be created of how the axSpA care pathway works, including activities, data, and outcomes. Following this a newly implemented PGHD platform for axSpA care at the Royal United Hospitals (RUH) Bath will be evaluated. This evaluation will take place at the RUH, and will involve consultation observations and follow-up interviews with patients and clinicians. It will also involve a series of co-design workshops with patients and clinicians to explore their views on how the current platform may be optimised and improved, including their views on the potential value of predictive analytics. This research will provide insights how the platform is used during consultations, the barriers surrounding its uptake and impact across all parts of the axSpA model, and users' requirements for future versions.

详细描述

Axial spondyloarthritis (axSpA) is a chronic inflammatory rheumatic disease primarily affecting the spine and sacroiliac joints. AxSpA usually develops in the second or third decade of a patient's life and impacts quality of life, mobility, function and work ability . Cornerstones of treatment are non-steroidal anti-inflammatory drugs, disease-modifying antirheumatic drugs and physical activity/rehabilitation . However, across the UK, there is huge variation in care provided for axSpA, and a significant residual burden on healthcare services post-pandemic . Capacity to deliver specialist rheumatology care is being exceeded by demand; the 2021 British Society for Rheumatology report highlighting a dangerous lack of consultants, specialist nurses and poor access to allied health professionals . The lack of healthcare capacity to meet demand is resulting in serious consequences for people living with rheumatic diseases in the UK, such as progressively worse health and debilitating pain . The 2022 NICE Impact Arthritis report suggested that support for education and non-pharmacological treatment is particularly lacking, making good long-term self-management more difficult for patients . Development of novel digital interventions to support patients in their self-management could revolutionise axSpA care in the UK by reducing pressure on healthcare services and ensuring that every patient has access to specialist treatment, thereby likely improving patient experience and clinical outcomes. The European Alliance of Associations for Rheumatology (EULAR, formerly European League Against Rheumatism) indeed suggest that digital healthcare is essential for supporting and optimising patient education and self-management in rheumatology.

As axSpA is highly variable across patients, personalised treatment plans are an important part of ensuring that patients receive effective care. However, as per current standard care in the UK, many people living with axSpA will see their rheumatologist or specialist physiotherapist once a year, or less - leaving them with 8,758 hours in a year where they must manage their condition somewhat independently . This results in limited time spent with patients in which to discuss treatment and management plans tailored to their individual needs. Additionally, previous work by Hue et al. with consultant rheumatologists and axSpA patients at the Royal National Hospital for Rheumatic Diseases (RNHRD), showed that clinicians were "acutely aware of time constraints placed on their interactions with the patient", and that these constraints limited opportunities for patients to lead conversations. It is therefore crucial that any activities that take place during consultations are as efficient as possible to maximize the time available for patients and clinicians to discuss topics that are important to them, and to collaboratively make decisions.

The increasing maturity and availability of digital health applications and wearable technologies are allowing patients to collect large amounts of health and lifestyle data outside of the clinic. This data can support patients in tracking their symptoms and disease progression, and has the potential to support existing patient-reported evidence that is often subject to recall bias, and is limited in its collection by appointment attendance. While a systematic review by Demiris et al. highlights several studies investigating the use of patient-gathered data in clinical practice, attempts to collaboratively use patient-gathered data in the clinic have been met with many challenges. These include a lack of mutual expectations between patients and clinicians when reviewing this data , clinical time constraints , and difficulties interpreting non-standard data formats . These challenges, among many others, highlight the importance of systems and visualisations that can support the efficient and meaningful use of patient-gathered data in clinical contexts.

At the Royal National Hospital for Rheumatic Diseases (RNHRD), Royal Untied Hospitals (RUH) Bath, a new digital health platform has been implemented for axSpA care. This platform helps patients to track their symptoms, share health data with their clinicians, review this data in clinic, and access educational resources. As this platform has not yet been evaluated in clinical practice, and given the historic barriers to utilising PGHD in clinic, it is important to understand how the platform is being used across the axSpA care pathway, and the experiences of clinicians and people living with axSpA in using the platform.

The study consists of three methodological approaches for data collection:

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adults over 18 with a diagnosis of axSpA
  • Treated at the Royal National Hospital for Rheumatic Diseases, at the Royal United Hospitals Bath NHS Foundation Trust
  • Due to have a planned consultation during the study period
  • If participating in the interview via Teams, access to an electronic device (computer, laptop, tablet, or smartphone) and email address is required. If participating over the phone or via Teams, a quiet, private space is required to conduct the interview.

排除标准

  • - The person believes that participation may cause them to feel distress, discomfort or embarrassment.

结局指标

主要结局

Quotes and resulting themes from semi-structured interviews and workshops with patients and clinicians relating to self-management and patient-generated health data

时间窗: From enrolment until end of interview or optional co-design workshop (up to 6 months)

Thematic analysis of interviews and co-design workshops with patients and clinicians to identify themes relating to patient self-management and the use of patient-generated health data in the treatment and management of axSpA

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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