Arthritis Research & Therapy (Oct 2018)

I do not want to suppress the natural process of inflammation: new insights on factors associated with non-adherence in rheumatoid arthritis

  • Valentin Ritschl,
  • Angelika Lackner,
  • Carina Boström,
  • Erika Mosor,
  • Michaela Lehner,
  • Maisa Omara,
  • Romualdo Ramos,
  • Paul Studenic,
  • Josef Sebastian Smolen,
  • Tanja Alexandra Stamm

DOI
https://doi.org/10.1186/s13075-018-1732-7
Journal volume & issue
Vol. 20, no. 1
pp. 1 – 11

Abstract

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Abstract Background It is estimated that 50–70% of patients with rheumatoid arthritis (RA) are non-adherent to their recommended treatment. Non-adherent patients have a higher risk of not reaching an optimal clinical outcome. We explored factors associated with nonadherence from the patient’s perspective. Methods Four hundred and fifty-nine RA patients (346 (75.4%) females; mean age 63.0 ± 14.8 years) who failed to attend follow-up visits in two rheumatology centres were eligible to participate in a qualitative interview study. We used this strategy to identify patients who were potentially non-adherent to medicines and/or non-pharmacological interventions. By means of meaning condensation analysis, we identified new and some already well known insights to factors associated with non-adherence. We used the capability, opportunity, and motivation model of behaviour (COM-B) model as a frame of reference to classify the factors. Results Forty-three of 131 patients (32.8%) who agreed to participate in the qualitative interviews were found to be non-adherent. New insights on factors associated with non-adherence included strong opinions of patients, such as pain being considered as an indicator of hard work and something to be proud of, or inflammation being a natural process that should not be suppressed; feeling not to be in expert’s hands when being treated by a physician/health professional; the experience of excessive self-control over the treatment; and rheumatologists addressing only drugs and omitting non-pharmacological aspects. The COM-B model comprehensively covered the range of our findings. Conclusions The new insights on factors associated with non-adherence allow a better understanding of this phenomenon and can substantially enhance patient care by helping to develop targeted interventions.

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