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1.
Neurourol Urodyn ; 37(1): 385-393, 2018 01.
Article in English | MEDLINE | ID: mdl-28666061

ABSTRACT

AIMS: A proof of principle study of a novel wearable device to control neurogenic detrusor over-activity in eight male spinal cord injured subjects using conditional neuromodulation. METHODS: Transrectal stimulation was delivered through the device in response to simultaneously recorded external anal sphincter (EAS) contraction as a marker for neurogenic detrusor overactivity (NDO). The effect of conditional neuromodulation on bladder capacity and maximum detrusor pressure was investigated in addition to reliability of dyssynergic sphincter contraction as a marker for NDO. RESULTS: Conditional neuromodulation through the novel device showed a statistically significant increase in bladder capacity and reduction in maximum detrusor pressure in six male subjects with spinal cord injury (SCI). EAS activity was a reliable surrogate for detection of NDO. CONCLUSIONS: It has been shown for the first time that conditional neuromodulation can be delivered and triggered via a single biocompatible device placed in the anal canal. The pudendal nerves lying in Alcock's canal were stimulated through the wall of the anal canal, and the dyssynergic activity of the EAS was used to detect NDO and trigger neuromodulation giving significant increases in bladder capacity and reduction in detrusor pressure in six male subjects with SCI.


Subject(s)
Spinal Cord Injuries/complications , Urinary Bladder, Neurogenic/therapy , Urinary Bladder, Overactive/therapy , Adolescent , Adult , Aged , Humans , Male , Middle Aged , Muscle Contraction/physiology , Reproducibility of Results , Transcutaneous Electric Nerve Stimulation , Treatment Outcome , Urinary Bladder, Neurogenic/etiology , Urinary Bladder, Overactive/etiology , Young Adult
2.
Clin Trials ; 13(4): 417-24, 2016 08.
Article in English | MEDLINE | ID: mdl-26968939

ABSTRACT

BACKGROUND/AIMS: Many types of telehealth interventions rely on activity from the patient in order to have a beneficial effect on their outcome. Remote monitoring systems require the patient to record regular measurements at home, for example, blood pressure, so clinicians can see whether the patient's health changes over time and intervene if necessary. A big problem in this type of intervention is non-compliance. Most telehealth trials report compliance rates, but they rarely compare compliance among various options of telehealth delivery, of which there may be many. Optimising telehealth delivery is vital for improving compliance and, therefore, clinical outcomes. We propose a trial design which investigates ways of improving compliance. For efficiency, this trial is embedded in a larger trial for evaluating clinical effectiveness. It employs a technique called micro-randomisation, where individual patients are randomised multiple times throughout the study. The aims of this article are (1) to verify whether the presence of an embedded secondary trial still allows valid analysis of the primary research and (2) to demonstrate the usefulness of the micro-randomisation technique for comparing compliance interventions. METHODS: Simulation studies were used to simulate a large number of clinical trials, in which no embedded trial was used, a micro-randomised embedded trial was used, and a factorial embedded trial was used. Each simulation recorded the operating characteristics of the primary and secondary trials. RESULTS: We show that the type I error rate of the primary analysis was not affected by the presence of an embedded secondary trial. Furthermore, we show that micro-randomisation is superior to a factorial design as it reduces the variation caused by within-patient correlation. It therefore requires smaller sample sizes - our simulations showed a requirement of 128 patients for a micro-randomised trial versus 760 patients for a factorial design, in the presence of within-patient correlation. CONCLUSION: We believe that an embedded, micro-randomised trial is a feasible technique that can potentially be highly useful in telehealth trials.


Subject(s)
Patient Compliance/statistics & numerical data , Research Design , Telemedicine/organization & administration , Delivery of Health Care/methods , Humans , Pilot Projects , Sample Size
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