The predictive value of ePAQ in the urodynamic diagnoses in women

McCooty, Shanteela Asmahra (2017). The predictive value of ePAQ in the urodynamic diagnoses in women. University of Birmingham. M.Sc.

Preview

McCooty17MSc.pdf PDF - Accepted Version Download (1MB)

Abstract

Urinary incontinence (UI) is a common, debilitating condition investigated by urodynamics (UDS). UDS is invasive and not 100% accurate and thus less invasive methods such as the electronic Personal Assessment Questionnaire (ePAQ) require further investigation. This thesis involved a systematic review assessing studies reporting on the clinical uses of ePAQ and demonstrated its reliability in assessing quality of life (QoL) but there were no studies found which had assessed predictive ability. The quality and accuracy of UDS traces performed as part of a large diagnostic accuracy study were assessed and recommendations made for improvement in the quality performance. Finally a prospective, consecutive study involving 390 women assessed the ability of ePAQ to predict a diagnosis ofDO on UDS in women with overactive bladder (OAB) and of urodynamic stress incontinence (USI) on UDS in women who have stress urinary incontinence (SUI) and demonstrated fair predictive ability. There was a positive relationship between OAB and SUI scores and a positive UDS diagnosis. Further research is required to assess whether ePAQ can be used in a predictive model with other predictors e.g. symptoms and examination findings to better predict disease and treatment outcomes.

Type of Work:	Thesis (Masters by Research > M.Sc.)
Award Type:	Masters by Research > M.Sc.
Licence:
College/Faculty:	Colleges (2008 onwards) > College of Medical & Dental Sciences
School or Department:	Institute of Clinical Sciences
Funders:	Other
Other Funders:	Birmingham Women’s and Children’s NHS Foundation Trust
Subjects:	R Medicine > RC Internal medicine R Medicine > RG Gynecology and obstetrics
URI:	http://etheses.bham.ac.uk/id/eprint/7733

Actions

	Request a Correction
	View Item

Downloads