Development and assessment of SCI model systems complicated UTI consensus guidelines: A psychometrically designed mixed-methods protocol
Publications
Model System:
SCI
Reference Type:
Journal article
Accession No.:
J91213
Journal:
Topics in Spinal Cord Injury Rehabilitation
Year, Volume, Issue, Page(s):
, 28, 4, 1-11
Publication Website:
Abstract:
Article describes the methodology for a two-phase, mixed-methods study to develop consensus around diagnostic and decision-making criteria for complicated urinary tract infection (cUTI) among people with spinal cord injury and disease (SCI/D) and the clinicians who treat them. Phase 1 (qualitative) will engage Spinal Cord Injury Model Systems (SCIMS) clinicians in focus groups to refine existing cUTI-related decision making using three reliable and validated Urinary Symptom Questionnaires for Neurogenic Bladder (intermittent catheterization, indwelling catheterization, and voiding) as points of departure. Then a Delphi survey will be conducted to explore and achieve consensus on cUTI diagnostic criteria among a nationally representative sample of clinicians from physical medicine and rehabilitation, infectious disease, urology, primary care, and emergency medicine. Training materials will be developed based on these new guidelines and will deploy the training to both clinicians and consumers nationally. In phase 2 (quantitative), researchers will assess clinicians’ uptake and use of the guidelines, and the impact of the guidelines training on consumers’ self-management habits, engagement with the healthcare system, and antibiotic use over the 12 months after training. The output of this study will be diagnostic guidelines for cUTI among people with neurogenic lower urinary tract dysfunction (NLUTD) due to SCI/D, with data on uptake (clinicians) and impact (patients). This mixed-methods protocol integrates formal psychometric methods with large-scale evidence gathering to derive consensus around diagnostic guidelines for cUTI among people with NLUTD due to SCI/D and provides information on uptake (clinicians) and impact (patients).
