Face to Face or Digitally Delivered First-line Osteoarthritis Treatment?

NCT ID: NCT04836988

Last Updated: 2023-10-04

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 6946 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2021-03-06
• Study Completion Date: 2021-03-30

Brief Summary

This study will compare outcomes of two different delivery methods (Face-to-face and digitally) of first-line treatment for hip and knee osteoarthritis.

Detailed Description

According to international guidelines, exercise and education should constitute the first-line intervention for people with knee and hip osteoarthritis (OA) and have been shown to be effective in reducing OA symptoms regardless of disease severity. To implement those guidelines, the Better Management of Patients with OsteoArthritis (BOA), a face-to-face concept including education and an option to exercise, has been developed and are offered at primary care clinics in Sweden since 2008. However, traditional face to face interventions present barriers, such as limited access and lack of flexibility, which may limit the patients' adherence with the interventions. In an effort to overcome such barriers, a digital self-management program (Joint Academy) that is based on the BOA concept started in 2014. Although, both delivering methods have been reported to reduce OA symptoms in patients with hip and/or knee OA, little is known whether the results of digital interventions are comparable with traditional face-to-face rehabilitation programs. In this retrospective register-based study we will compare the outcomes of the two different modalities of first-line treatment delivery (face-to-face vs digitally) after 3 months program participation using data from the BOA and Joint Academy registers. Main outcome will be self-reported change in pain between baseline and three months follow-up and secondary outcomes will be change in self-reported walking difficulties, willingness for joint surgery and health-related quality of life between baseline and three months follow-up.

Statistical analysis In this study we will include all participants in the digital program fulfilling the eligibility criteria outlined below (n >2000). These participants will be matched 1:1 to participants in the BOA register using the propensity scoring approach. The minimum clinically important difference is typically considered to be one unit on a 0-10 NRS scale. To obtain a 95% confidence interval for the between-group difference with a width of at most 0.5 units (i.e. very precise) in a sample with a typical standard deviation of 1.5, with 99% probability, we will need ~630 patients in total.

We will use observational data to emulate an equivalence trial comparing the effect on joint pain of a digitally delivered first-line intervention and of an in-person delivered first line intervention for people with OA of the hip or knee. In order to establish equivalence between the interventions the pain change after the intervention should differ of less than 1-point on a 0-10 NRS pain scale. This cut off was selected based on previous work identifying 1-point change as the MCID in people with OA. The main outcome will be analyzed using a propensity score matching approach. We will estimate the propensity score using a logistic regression model, in which we will regress the treatment status on the observed baseline characteristics of the participants. The characteristics to include in the propensity score will be selected using the disjunctive cause criteria, including factors in the analysis identified as causes of treatment allocation(exposure) and/or the pain change (outcome). We will use nearest neighbor matching to select controls (BOA participants) whose propensity score is closest to that of the treated subject. Furthermore, we will use an optimal matching strategy to minimize the total within-pair difference of the propensity score. Within-pair differences in main outcome will be analysed using a paired t-test. Finally, we will adjust the analysis for baseline pain in order to increase the precision of the estimates and minimize the regression to the mean effect

Conditions

Hip Osteoarthritis; Knee Osteoarthritis

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: OTHER

Study Groups

Digitally delivered osteoarthritis treatment

Participants enrolled in the digitally delivered osteoarthritis managament program (Joint Academy register)

Three months of digitally delivered osteoarthritis treatment

Intervention Type: OTHER

Digitally delivered osteoarthritis management including education and exercise and weight control if needed

Face-to-face delivered osteoarthritis treatment

Participants enrolled in the face-to-face delivered osteoarthritis managament program (BOA-register)

Three months of face-to-face delivered osteoarthritis treatment

Intervention Type: OTHER

Face-toface delivered osteoarthritis management including education and exercise and weight control if needed

Interventions

Three months of digitally delivered osteoarthritis treatment

Digitally delivered osteoarthritis management including education and exercise and weight control if needed

Intervention Type: OTHER

Three months of face-to-face delivered osteoarthritis treatment

Face-toface delivered osteoarthritis management including education and exercise and weight control if needed

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• A clinical diagnosis of hip or knee OA
• Participated for three months in any of the programs between 2018-04-01 and 2020- 03-31
• Reported pain at both baseline and at 3 months follow-up
• Adherence of ≥80%, i.e., ≥80% completed education videos, exercises and questionnaires offered in the digital program and participation in two out of three educational lessons and at least 10 of the 12 supervised group exercise sessions offered in the BOA.

Exclusion Criteria

• None

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Lund University

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Anna Cronström

Role: PRINCIPAL_INVESTIGATOR

Lund University

Locations

Lund University

Lund, Skåne County, Sweden

Countries

Sweden

Provided Documents

Document Type: Statistical Analysis Plan

View Document

Other Identifiers

Observational

Identifier Type: -

Identifier Source: org_study_id