Predictors of adherence to treatment in women with fibromyalgia

Clin J Pain. 2006 Mar-Apr;22(3):286-94. doi: 10.1097/01.ajp.0000173016.87612.4b.

Abstract

Objectives: The goal of this study was to identify predictors of general and medication adherence in women with fibromyalgia (FM).

Methods: Participants were 142 women recruited from tertiary care hospitals or the community and 10 rheumatologists. Participants' demographic, clinical, and psychosocial characteristics, as well as patient-physician discordance, were assessed at the index visit. Adherence was assessed 6 months later. Multivariable generalized estimating equations were used to identify predictors of general adherence and adherence to medication.

Results: The average age of participants was 50.9 years (SD=10.2) and the median duration of FM was 32 months. Participants reported extensive use of health services and medications. The mean score for general adherence was 61.0 (SD=22.4; range 0-100) and 52.9% of the cohort reported at least one form of behavior reflecting nonadherence to medications. More general adherence was significantly predicted by lower patient-physician discordance on patient well-being and lower patient psychological distress. Medication adherence was significantly predicted by higher affective pain and lower patient psychological distress.

Conclusions: Adherence is influenced by both clinical (patient-physician discordance and pain) and psychological (distress) factors in women with FM. Improvements in these domains may improve adherence in FM.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Comorbidity
  • Female
  • Fibromyalgia / diagnosis
  • Fibromyalgia / drug therapy*
  • Fibromyalgia / epidemiology*
  • Health Services / statistics & numerical data
  • Humans
  • Middle Aged
  • Pain / diagnosis
  • Pain / drug therapy*
  • Pain / epidemiology*
  • Patient Compliance / statistics & numerical data*
  • Physician-Patient Relations*
  • Prognosis
  • Quebec / epidemiology
  • Risk Assessment / methods*
  • Risk Factors