التفاصيل البيبلوغرافية
| العنوان: |
Understanding the Longitudinal Characteristics of Chronic Pain in Arthritis: The Role of Intensive Longitudinal Methods in Analysing Pain and the Attributable Burden of Persistent Pain on Treatment and Health Outcomes |
| المؤلفون: |
Pisaniello, Huai Leng |
| المساهمون: |
Hill, Catherine, Beltrame, John, Dixon, William, Whittle, Samuel (Basil Hetzel Institute and Rheumatology Unit, The Queen Elizabeth Hospital), Lester, Susan (Basil Hetzel Institute), McBeth, John (University of Manchester, UK), Lunt, Mark (University of Manchester, UK), Adelaide Medical School |
| سنة النشر: |
2023 |
| المجموعة: |
The University of Adelaide: Digital Library |
| مصطلحات موضوعية: |
Chronic pain, arthritis, intensive longitudinal methods, health outcomes |
| الوصف: |
Chronic pain is a common sequela of rheumatic and musculoskeletal diseases (RMDs) worldwide. The health care and societal costs related to the burden of chronic pain are insurmountable. Chronic pain is regarded as a symptom of utmost importance to individuals living with arthritis. Chronic pain, to everyone, is unique, complex, and multidimensional, and for many, it can adversely impact on the individual’s day-to-day physical functioning and psychosocial states. In a typical rheumatology clinic, and usually with a standard 3-month or 6-month follow-up timeframe, patients are often asked to discuss their pain relating to their arthritis since the last visit, which is highly prone to recall bias and selective memory. The lived experience of pain in arthritis is highly variable and can be unpredictable at times, especially during disease flare or with other co-existing pain-related comorbidities, such as fibromyalgia (FM). Summarising the ebb and flow of pain may not necessarily reflect the real-time pain impact. Capturing these pain symptoms in real-time may provide the window of opportunity to intervene and to help better manage their pain when symptomatic. Furthermore, discordance between the retrospective summary of pain experience and the actual realtime impact of pain can result in unintended consequences of unnecessary treatment escalation and poor pain management. Data collection of repeated measures of symptoms and co-occurring events captured over time is well established, although it is often an onerous task and can be unappealing and intrusive. The implementation of mobile health (mHealth) in clinical practice and research has unfolded many potentials to capture temporally rich patient-reported outcomes (PROs) in real-time, when compared to traditional methods of data collection. In the context of using smartphones in capturing realtime pain symptoms in arthritis, this type of mHealth data creates a unique platform to explore novel methods in examining pain trajectory and pain variability in RMDs. Such ... |
| نوع الوثيقة: |
thesis |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
https://hdl.handle.net/2440/140502Test |
| الإتاحة: |
https://hdl.handle.net/2440/140502Test |
| رقم الانضمام: |
edsbas.700C1367 |
| قاعدة البيانات: |
BASE |
