Impact of Behavioral Factors on Treatment Adherence in a Sample of Rheumatoid Arthritis Patients (MAINTAIN)

June 19, 2020 updated by: University Hospital, Bordeaux
Rheumatoid arthritis (RA) care has been revolutionized in the last decade with the advent of biotherapies. Only 66% of treated patients are compliant. Nevertheless, studies analyzing the medication adherence in RA are rare. The aim of this study is thus to evaluate RA treatment adherence considering demographic data, vaccination coverage, feeding behavior and the use of e-health tools.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Rheumatoid arthritis (RA) care has been revolutionized in the last decade with the advent of biotherapies. The success of this therapeutic strategy is based on several factors, including the medication adherence. Whatever the method used, adherence evaluation is not sufficient, around 66% of the treated patients. Nevertheless, studies analysing the predictive factors of medication adherence in RA are rare.

RA patients are also educated about the infectious risk related to RA and treatments, and the importance of vaccination. These recommendations are not always respected by the patients, without knowing the exact factors leading to this decision. Furthermore, a lot of patients take personal initiatives without the agreement and the help of their practitioner, like diets or special feeding behaviors. Lastly, plenty of patients affected bv chronic diseases claim and use electronic health tools without any real evidence of the efficacy of such device.

The aim of this study is thus to evaluate RA treatment adherence considering demographic data, vaccination coverage, feeding behavior and the use of e-health tools.

Study Type

Observational

Enrollment (Actual)

590

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Bordeaux, France
        • CHU de Bordeaux - service de rhumatologie
      • Clermont-Ferrand, France
        • Service de Rhumatologie
      • Limoges, France
        • Service de Rhumatologie
      • Montpellier, France
        • Service de Rhumatologie
      • Toulouse, France
        • Service de Rhumatologie

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patient aged over 18 years old, affected by RA according to ACR/EULAR 2010 criteria

Description

Inclusion Criteria:

  • patient aged over 18 years old,
  • affected by RA according to ACR/EULAR 2010 criteria,
  • francophone,
  • and informed about the aims of the study.

Exclusion Criteria:

  • guardianship patient,
  • patient who refuses to participate.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Rheumatoid Arthritis patients
patients affected by RA according to ACR/EULAR 2010 criteria
Questionnaire

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Proportion of patients who presented a good medication adherence according to the medication adherence questionnaire
Time Frame: At baseline (day 0)
At baseline (day 0)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Proportion of patients vaccinated against influenza and pneumococcal bacteria
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of reasons of non-vaccination, globally and for each type of vaccination.
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of factors influencing rheumatologists to propose vaccination.
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of vaccinated patients who present a good medication adherence to RA specific therapies
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of patients using electronic health tools
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of patients using electronic health tools who present a good medication adherence to RA specific therapies
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of patients with a special diet, globally and by type of diet
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of patients presenting functional bowel disorder
Time Frame: At baseline (day 0)
At baseline (day 0)
Proportion of patients with a special diet who present a good medication adherence to RA specific therapies
Time Frame: At baseline (day 0)
At baseline (day 0)
Number of patients with a good medication adherence, according to age
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to gender
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to socio-professional category
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to educational level
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to involvement in a patients association
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to alcohol and/or tobacco consumption
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to disease duration
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to rheumatoid factor and/or ACPA positivity
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to DAS28 score levels
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to actual RA treatments
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients with a good medication adherence, according to the use of alternative therapies (acupuncture and/or sophrology).
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires
At baseline (day 0)
Number of patients for each personality trait category
Time Frame: At baseline (day 0)
Personality trait categories will be evaluated by the French version of Big Five Inventory questionnaire.
At baseline (day 0)
Number of patients with a good medication adherence, according to each personality trait category
Time Frame: At baseline (day 0)
Medication adherence will be evaluated with medication adherence questionnaires. Personality trait categories will be evaluated by the French version of Big Five Inventory questionnaire.
At baseline (day 0)
Number of patients with a vaccination coverage, according to each personality trait category.
Time Frame: At baseline (day 0)
Personality trait categories will be evaluated by the French version of Big Five Inventory questionnaire.
At baseline (day 0)
Number of patients with a special diet, according to each personality trait category
Time Frame: At baseline (day 0)
Personality trait categories will be evaluated by the French version of Big Five Inventory questionnaire
At baseline (day 0)
Number of patients using electronic health tools, according to each personality trait category
Time Frame: At baseline (day 0)
Personality trait categories will be evaluated by the French version of Big Five Inventory questionnaire
At baseline (day 0)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Marie-Elise TRUCHETET, MD, PhD, CHU Bordeaux

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 28, 2018

Primary Completion (Actual)

July 10, 2019

Study Completion (Actual)

July 10, 2019

Study Registration Dates

First Submitted

November 19, 2018

First Submitted That Met QC Criteria

November 22, 2018

First Posted (Actual)

November 27, 2018

Study Record Updates

Last Update Posted (Actual)

June 22, 2020

Last Update Submitted That Met QC Criteria

June 19, 2020

Last Verified

June 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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