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Predicting Successful Outcome of Interdisciplinary Biopsychosocial Rehabilitation in Osteoarthritis

Development of a Clinical Prediction Model to Facilitate Decision Making in Interdisciplinary Biopsychosocial Rehabilitation in Patients With Osteoarthritis (OA)

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05661760
Acronym
CIR-predict
Enrollment
2309
Registered
2022-12-22
Start date
2019-01-01
Completion date
2023-12-31
Last updated
2022-12-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Pain, Disability Physical, Osteoarthritis

Keywords

multimodal treatment, interdisciplinary, rehabilitation medicine, prediction model, treatment outcome

Brief summary

The goal of this prospective study is to identify variables that can predict whether an interdisciplinary biopsychosocial intervention for patients with osteoarthritis will be successful. Using an observational design, patients admitted to this program during the 3-year period (2019-2021) will be included and data gathered during routine clinical practice at baseline and end of treatment of patients who gave informed consent, will be used. With these data a prediction model will be build and internal validation with bootstrapping will be done.

Detailed description

Rationale: To predict the probability of a positive outcome of interdisciplinary biopsychosocial intervention in individual patients with osteoarthritis (OA), a prediction model is needed. Research Question/Objective: The overall goal is to develop a clinical prediction model to facilitate decision making in interdisciplinary biopsychosocial rehabilitation in patients with OA. The model will predict the individual probability (in percentage) of a positive response to the treatment (treatment success). Design: A retrospective cohort design. Setting: A Dutch rehabilitation facility. Participants: Patients with OA diagnosed by a medical specialist and consisting at least three months. Intervention and procedures: The intervention of interest is interdisciplinary biopsychosocial rehabilitation. The procedures include the development of a clinical prediction model and assessment of its performance and internal validity. Measurements: Candidate predictors will be carefully selected. The outcome of the model will be treatment success, defined by the change on the Pain Disability Index (PDI). The model will be built with data gathered as part of routine practice. Expected outcome of the research: The deliverable will be a clinical predication model, which can be used in follow-up research.

Interventions

BEHAVIORALinterdisciplinary multimodal pain treatment

A combination of physical and psychosocial treatment methods is employed, including Emotional Awareness and Expression Therapy (EAET), Pain Neuroscience Education (PNE), Acceptance and Commitment Therapy (ACT), graded activity, exposure in vivo, and experiential learning through physical training.

Sponsors

Centrum voor Integrale Revalidatie (CIR)
CollaboratorUNKNOWN
Pfizer
CollaboratorINDUSTRY
Maastricht University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
16 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Chronic musculoskeletal pain \> 3 months and osteoarthritis * Large personal and social dysfunction * Interplay of biological, social and psychological factors maintaining pain and/or disability

Exclusion criteria

* Inability to actively participate in treatment (insufficient motivation, limited Dutch language skills, environmental factors, other pending treatments) * Disagreement between patient and care providers on content of treatment * Pending legal procedures that hinder full cooperation

Design outcomes

Primary

MeasureTime frameDescription
Pain Disability Indexbaseline (start of treatment) and 10 weeksMeasures to which degree pain prevents the patient from participating in daily activities. Improvement equal or higher than Minimal Clinically Important Change (MCID; which is 9 points) is defined as successful treatment, and all others as not successful treatment Population will be dichotomized into successful or non-successful treatment and this will be the dependent variable for the logistic regression analysis used to build the prediction model

Other

MeasureTime frameDescription
Pain Self Efficacy QuestionnairebaselineMeasures how confident the patient is that he/she will be able to perform daily tasks despite being in pain
Psychological Inflexibility in Pain ScaleBaselineMeasures psychological inflexibility (avoidance of pain and cognitive fusion with pain)
Symptom Checklist 90BaselineMeasures to which degree the patient suffers from 90 different physical and psychological symptoms.
Hospital Anxiety and Depression ScaleBaselineMeasures feelings of fear and depression, without looking at physical complaints
Brief Illness Perception QuestionnaireBaselineMeasures the cognitive and emotional representation of illness in a patient
Pain Catastrophising ScaleBaselineMeasures degree of catastrophizing
Checklist Individual StrengthBaselineMeasures subjective tiredness
Twelve-Item Short Form Health SurveyBaselineMeasures physical and mental functioning
Patient Specific ComplaintBaselineMeasures a patient's functional status by inquiring for three self-selected daily activities to which degree the patient is limited in this activity by his/her pain complaints
General CIR questionnairebaselineRecords general socio-demographic characteristics as well as symptom-related information, co-morbidity and medication levels.

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026