Patients with inflammatory bowel disease at risk of sub-optimal outcomes report poorer biopsychosocial functioning than controls: data from two cross-sectional surveys.
Rebecca OrrDavid SkvarcCatherine EmersonLauren BeswickLisa S OliveSarah DavidAntonina Mikocka-WalusPublished in: Psychology, health & medicine (2022)
Inflammatory bowel disease (IBD) is a chronic gastrointestinal disorder. Standard treatment focuses on reducing the inflammatory burden, however, not all patients respond adequately to conventional medical therapy. These patients, referred to as Patients at Risk of Suboptimal Outcomes (PARSO), have not been studied collectively. The present study aimed to understand the biopsychosocial characteristics of patients with IBD at risk of sub-optimal outcomes for targeted multi-disciplinary treatment to encourage optimal outcomes. Two cross-sectional online surveys, including 760 PARSO and 208 control (non-PARSO) participants, were conducted and their data combined. Biopsychosocial factors included quality of life, pain, disease activity, wellbeing, fatigue, stress, social support, and sleep difficulties. Results suggest that active disease, quality of life, stress, social support, sleep difficulties, fatigue, wellbeing, smoking status, IBD subtype, and pain are significantly associated with membership in a subgroup of PARSO. We also used logistic regression to explore variables associated with the total likelihood of PARSO status. Overall, the model predicted the at-risk status to a substantial degree ( R 2 -2ll = .41, x 2 = 401.53, p < .001). Younger age in years, female sex, Crohn's disease, and greater measured and subjective disease activity significantly increased the likelihood of participants being identified as PARSO; OR CI95% = 0.96 (0.95, 0.97); OR CI95% = 4.46 (2.95, 6.71); OR CI95% = 1.58 (1.05, 2.37); OR CI95% = 3.52 (2.18, 5.69); OR CI95% = 45.99 (14.11, 149.89). A biopsychosocial and personalised approach to IBD care might be necessary to support those at risk of suboptimal outcomes in achieving better long-term wellbeing.
Keyphrases
- social support
- disease activity
- cross sectional
- rheumatoid arthritis
- systemic lupus erythematosus
- depressive symptoms
- end stage renal disease
- sleep quality
- rheumatoid arthritis patients
- ejection fraction
- healthcare
- newly diagnosed
- chronic pain
- ankylosing spondylitis
- stem cells
- randomized controlled trial
- peritoneal dialysis
- juvenile idiopathic arthritis
- pain management
- prognostic factors
- oxidative stress
- clinical trial
- palliative care
- neuropathic pain
- patients with inflammatory bowel disease
- big data
- social media
- metabolic syndrome
- adipose tissue
- spinal cord
- machine learning
- patient reported outcomes
- mesenchymal stem cells
- artificial intelligence
- spinal cord injury
- study protocol
- cancer therapy
- open label
- patient reported