INTRODUCTION AND HYPOTHESIS: The Actionable Bladder Symptom Screening Tool (ABSST) was initially developed to identify patients with multiple sclerosis (MS) who could benefit from lower urinary tract assessment and treatment.
Assessment of the measurement properties of the ABSST, including its ability to identify patients experiencing bladder symptoms related to overactive bladder (OAB), was undertaken in a general female population.
METHODS: One hundred women completed the ABSST, OAB Questionnaire Short Form (OAB-q SF), and a patient global impression of severity (PGI-S) scale. Half of the sample had urgency urinary incontinence (UUI), while the other half did not. Descriptive statistics, reliability, and validity were examined, as was sensitivity and specificity of the previous cut-off score established in MS.
RESULTS: Fifty-three women with UUI/OAB and 47 controls took part (71.0 % Caucasian). Patients with UUI/OAB were older (54.6 vs 40.4 years), had a higher body mass index (31.1 vs 26.4 kg/m2), and more comorbid conditions. The Cronbach's alpha reliability of ABSST was 0.90. High correlations with OAB-q SF Symptom Bother and Health Related Quality of Life (r = 0.83 and -0.81 respectively) supported concurrent validity. Using the PGI-S severity scores as a reference, the ABSST was able to distinguish patients with differing severity levels (known-group validity). Physician assessment of the need for further evaluation/treatment showed sensitivity (79 %) and specificity (98 %), supporting a cut-off score of ≥3.
CONCLUSIONS: The previous MS ABSST scoring algorithm was validated in a non-neurogenic female population. ABSST is a reliable, valid, and sensitive tool for screening women with UUI/OAB.
Written by:
Cardozo L, Staskin D, Currie B, Wiklund I, Globe D, Signori M, Dmochowski R, MacDiarmid S, Nitti VW, Noblett K. Are you the author?
NHS, Department of Urogynaecology, King's College Hospital, Denmark Hill, London, SE5 9RS, UK.
Reference: Int Urogynecol J. 2014 May 24. Epub ahead of print.
doi: 10.1007/s00192-014-2417-7
PubMed Abstract
PMID: 24859795
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