Person-Centred AI Support in Interdisciplinary Rehabilitation for Chronic Pain
Ориентир для пациента и семьи
Простыми словами
Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.
- Что изучают
- В протоколе указаны: Interdisciplinary treatment (IDT) + Clinical Decision Support System (CDSS), Interdisciplinary treatment (IDT).
- Кому может быть актуально
- Состояния в реестре: Pain, Chronic, Chronic Pain, Widespread, Pain Management. Базовые параметры: 18 лет — 67 лет · Все.
- Что важно проверить
- Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
- Где проводится
- Швеция
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Официальное название
The Future of Pain Management: Can Person-centred and Precision AI-Based Decision Support Enhance Interdisciplinary Rehabilitation for Chronic Pain?
Обзор
This cluster randomized controlled trial evaluates whether a person-centred, AI-supported Clinical Decision Support System (CDSS) can improve outcomes and cost-effectiveness in interdisciplinary rehabilitation for people with complex chronic pain. The CDSS is designed to assist clinicians in making personalized treatment decisions within standard interdisciplinary treatment (IDT). It has been developed using machine learning models trained on real-world data from over 100,000 patients in the Swedish Quality Registry for Pain Rehabilitation (SQRP), linked to several national registers, including the National Patient Register, the Prescribed Drug Register, the Social Insurance Agency database (MiDAS), and the Cause of Death Register. This enables individualized predictions of treatment outcomes, work ability, and healthcare utilization. The trial includes 400 adult patients with chronic pain, enrolled at 20 IDT clinics randomized to either CDSS-supported or standard IDT. The study has three phases: feasibility, effectiveness, and implementation. The primary outcome is a patient-prioritized composite single-index of health-related well-being, based on domains such as pain, sleep, physical and mental health, emotional distress, and work ability. Patients prioritize these domains together with their clinical team, enabling a person-centred assessment. Secondary outcomes include HRQoL (EQ-5D, SF-36), emotional distress (HADS), and work ability (WAI), measured at baseline, post-treatment, 6- and 12-month follow-up. A parallel mixed-methods process evaluation will examine implementation outcomes such as usability, clinician adherence, and workflow integration, using logs, surveys (e.g., S-NoMAD), and interviews. Normalization Process Theory guides the analysis. Cost-utility will be assessed using QALYs and ICERs from a societal perspective, with long-term projections using simulation models. Results will be reported in peer-reviewed publications.
Подробное описание
This project consists of three integrated phases aimed at evaluating a machine learning-based Clinical Decision Support System (CDSS) to improve interdisciplinary rehabilitation for individuals with complex chronic pain. The evaluation encompasses feasibility, clinical effectiveness, cost-utility, and implementation in routine care. The results will be reported in multiple peer-reviewed scientific publications.
Phase 1: Development, validation, and feasibility By the end of 2025, the CDSS-developed in an ongoing project-will be ready for clinical testing. It is based on predictive models trained on registry-linked data from over 100,000 patients in the Swedish Quality Registry for Pain Rehabilitation (SQRP), linked to several national registers, including the National Patient Register, the Prescribed Drug Register, the Social Insurance Agency database (MiDAS), and the Cause of Death Register. The system provides personalized forecasts for treatment outcomes, long-term work ability, and healthcare use. A pilot cluster-RCT will be conducted at 10 clinics (5 patients per site) to evaluate feasibility outcomes such as recruitment, retention, usability, data completeness, and workflow fit. These will be assessed using structured surveys, usage data, and interviews. Outcome measures will be collected at baseline, immediately after the intervention (i.e., up to 18 weeks after baseline), and at 12-month follow-up. While a typical interdisciplinary rehabilitation program lasts 6-8 weeks, some clinics may extend the intervention up to 18 weeks (with less treatment occasions per week) due to their ordinary and existing treatment procedures at that specific clinic. Published results indicate however no significant differences in treatment outcomes based on such extended program duration (Tseli et al., 2020). No major changes to the CDSS algorithm or interface are planned during the trial.
Phase 2: Clinical effectiveness and health economic evaluation The full evaluation will be conducted through a non-registry-based cluster randomized controlled trial involving 400 patients across 20 interdisciplinary rehabilitation clinics. Outcomes will be analyzed using linear mixed-effects models adjusted for time, group, clustering, and covariates. The primary endpoint is at 12-month follow-up. Secondary outcomes will be assessed at baseline, up to 18 weeks after baseline (i.e., immediately post intervention), and at 6- and 12-month follow-up. Health economic analyses will include within-trial cost-utility evaluation (QALYs from EQ-5D and SF-36) and longer-term modelling using Markov or microsimulation methods. Both direct (healthcare) and indirect (productivity loss) costs will be included. Sensitivity analyses will address uncertainty and robustness.
Phase 3: Implementation research A mixed-methods process evaluation will examine real-world adoption, scalability, and sustainability. Data will include system logs (e.g., reach, fidelity), survey responses (S-NoMAD), and interviews with clinicians and decision-makers. Analysis is guided by Normalization Process Theory, focusing on coherence (understanding), cognitive participation (engagement), collective action (integration), and reflexive monitoring (clinical utility). This structure enables a rigorous, practice-oriented evaluation of AI support in pain rehabilitation, integrating clinical, economic, and implementation perspectives to guide responsible and scalable integration into healthcare.
Вмешательства
- Другое Interdisciplinary treatment (IDT) + Clinical Decision Support System (CDSS)
Interdisciplinary treatment (IDT) combined with Clinical Decision Support System (CDSS) - Другое Interdisciplinary treatment (IDT)
Interdisciplinary treatment (IDT)
Первичные конечные точки
- Change from Baseline in Patient-Prioritized Health-Related Well-being Composite at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
Вторичные конечные точки (12)
- Change from Baseline in Pain Intensity (NRS) at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Sleep Problems Measured by the Insomnia Severity Index (ISI) at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Physical Health Functioning (SF-36 PF) at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Mental Health (SF-36 MH) at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Emotional Distress Measured by the Hospital Anxiety and Depression Scale (HADS) at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Work Ability Measured by the Work Ability Index (WAI) Single Item at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Pain Interference in Daily Life at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Physical Activity Measured by the Exercise Vital Sign (EVS) at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Treatment Expectations at Baseline [Срок оценки: At enrollment (baseline) only.]
- Change from Baseline in Sick Leave Status at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change from Baseline in Self-Reported Medication Use at 12 Months [Срок оценки: (1) Baseline, (2) up to 18 weeks after baseline*, and (3) 12-month follow-up. (*Most programs last 6-8 weeks, but some clinics extend to 18 weeks (fewer sessions/week) due to existing routine practice).]
- Change in Cost-Utility at 24 Months (EQ-5D-5L) [Срок оценки: (1) Up to 18 weeks after baseline, (2) 12 months, and (3) 24 months after treatment completion.]
Критерии участия
Критерии включения
- Aged 18 to 67 years
- Diagnosed with chronic non-malignant pain persisting longer than 3 months
- Pain condition includes, but is not limited to: fibromyalgia, widespread pain, back pain, neck pain, or shoulder pain
- Eligible for and referred to interdisciplinary rehabilitation (IDT) at a participating clinic
- Willing and able to participate in digital assessment and follow-up procedures
- Able to communicate and complete study materials in Swedish
- Provides written informed consent
Критерии исключения
- Pain caused by malignancy or cancer-related treatment
- Pain caused by systemic diseases such as rheumatoid arthritis, lupus, or other autoimmune or inflammatory conditions
- Severe psychiatric conditions interfering with study participation (e.g., untreated psychosis or severe depression requiring immediate psychiatric care)
- Documented cognitive impairment limiting ability to understand study participation or complete self-reported measures
- Currently enrolled in another interventional clinical trial that may confound the outcomes of this study
- Not expected to remain in the clinic's follow-up system for the duration of the study
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Нет
Дизайн исследования
- Распределение
- Рандомизированное
- Модель
- Параллельные группы
- Маскирование
- Двойное слепое
- Основная цель
- Лечение
Центры проведения
Швеция · 1 центр
- Dalarna University — Falun
Публикации
- Elf M, Nordmark S, Lyhagen J, Lindberg I, Finch T, Aberg AC. The Swedish version of the Normalization Process Theory Measure S-NoMAD: translation, adaptation, and pilot testing. Implement Sci. 2018 Dec 4;13(1):146. doi: 10.1186/s13012-018-0835-5. PMID 30509289
- Edwards RR, Schreiber KL, Dworkin RH, Turk DC, Baron R, Freeman R, Jensen TS, Latremoliere A, Markman JD, Rice ASC, Rowbotham M, Staud R, Tate S, Woolf CJ, Andrews NA, Carr DB, Colloca L, Cosma-Roman D, Cowan P, Diatchenko L, Farrar J, Gewandter JS, Gilron I, Kerns RD, Marchand S, Niebler G, Patel KV, Simon LS, Tockarshewsky T, Vanhove GF, Vardeh D, Walco GA, Wasan AD, Wesselmann U. Optimizing and PMID 36198371
- May CR, Mair F, Finch T, MacFarlane A, Dowrick C, Treweek S, Rapley T, Ballini L, Ong BN, Rogers A, Murray E, Elwyn G, Legare F, Gunn J, Montori VM. Development of a theory of implementation and integration: Normalization Process Theory. Implement Sci. 2009 May 21;4:29. doi: 10.1186/1748-5908-4-29. PMID 19460163
- Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, Moore L, O'Cathain A, Tinati T, Wight D, Baird J. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015 Mar 19;350:h1258. doi: 10.1136/bmj.h1258. PMID 25791983
- Eldridge SM, Lancaster GA, Campbell MJ, Thabane L, Hopewell S, Coleman CL, Bond CM. Defining Feasibility and Pilot Studies in Preparation for Randomised Controlled Trials: Development of a Conceptual Framework. PLoS One. 2016 Mar 15;11(3):e0150205. doi: 10.1371/journal.pone.0150205. eCollection 2016. PMID 26978655
- Gronkvist R, Vixner L, Ang B, Grimby-Ekman A. Measurement Error, Minimal Detectable Change, and Minimal Clinically Important Difference of the Short Form-36 Health Survey, Hospital Anxiety and Depression Scale, and Pain Numeric Rating Scale in Patients With Chronic Pain. J Pain. 2024 Sep;25(9):104559. doi: 10.1016/j.jpain.2024.104559. Epub 2024 May 10. PMID 38734041
- Sjoberg V, Westergren J, Monnier A, Lo Martire R, Hagstromer M, Ang BO, Vixner L. Wrist-Worn Activity Trackers in Laboratory and Free-Living Settings for Patients With Chronic Pain: Criterion Validity Study. JMIR Mhealth Uhealth. 2021 Jan 12;9(1):e24806. doi: 10.2196/24806. PMID 33433391
- Sjoberg V, Monnier A, Tseli E, LoMartire R, Hagstromer M, Bjork M, Ang B, Vixner L. Feasibility and acceptability of design and conduct of a registry-based randomised clinical trial evaluating eVIS as a digital support for physical activity in interdisciplinary pain rehabilitation programs: A randomised pilot study. Digit Health. 2024 Nov 25;10:20552076241299648. doi: 10.1177/20552076241299648. eC PMID 39600393
Идентификаторы
NCT: NCT07081737 · 2023-04532-01