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1.
Urology ; 137: 26-32, 2020 03.
Article in English | MEDLINE | ID: mdl-31893532

ABSTRACT

OBJECTIVE: To improve the tolerability of transrectal ultrasound guided prostate biopsy through use of diaphragmatic breathing. METHODS: Forty-seven patients, aged 52-79 years, who were scheduled for a transrectal ultrasound guided prostate biopsy with or without MRI guidance, were recruited at a single Veterans Affairs medical center for the diagnosis or evaluation of prostate cancer. Patients either met with a health psychologist for a 1-time, diaphragmatic breathing intervention immediately prior to their biopsy, or received usual care. All biopsies were performed using local anesthetic without sedation or anxiolytic therapy. The primary outcome was the difference in self-reported procedural situational anxiety as measured with the State Trait Anxiety Inventory, assessed both pre- and post-transrectal ultrasound guided prostate biopsy. We also examined secondary outcomes including physiological parameters (heart rate and blood pressure). RESULTS: There were no significant differences in preprocedural anxiety or physiological parameters between patients who received the intervention and those who received usual care. Patients who received the intervention had a significantly larger decrease in situational anxiety from pre- to postprocedure (M = 14.15, SD = 6.64) compared with those who received usual care (M = 3.45, SD = 9.97); t (38) = -4.0, P <.000; d = 1.26. Patients who received the intervention had a significantly larger decrease in heart rate (bpm) from pre- to postprocedure (M = 10.63, SD = 12.21) compared with those who received usual care (M = 0.07, SD = 9.25); t (31) = 2.75 P = 0.010; d = 0.97. CONCLUSION: A guided diaphragmatic breathing intervention reduced procedural anxiety during prostate biopsy and improved patient experience.


Subject(s)
Anxiety/psychology , Prostate/pathology , Prostatic Neoplasms/pathology , Aged , Anxiety/etiology , Diaphragm , Humans , Image-Guided Biopsy/methods , Image-Guided Biopsy/psychology , Male , Middle Aged , Preoperative Care/methods , Rectum , Respiration , Ultrasonography, Interventional
2.
J Neurosci Methods ; 275: 50-54, 2017 01 01.
Article in English | MEDLINE | ID: mdl-27840146

ABSTRACT

BACKGROUND: Digital analysis of writing and drawing has become a valuable research and clinical tool for the study of upper limb motor dysfunction in patients with essential tremor, Parkinson's disease, dystonia, and related disorders. We developed a validated method of computerized spiral analysis of hand-drawn Archimedean spirals that provides insight into movement dynamics beyond subjective visual assessment using a Wacom graphics tablet. While the Wacom tablet method provides robust data, more widely available mobile technology platforms exist. NEW METHOD: We introduce a novel adaptation of the Wacom-based method for the collection of hand-drawn kinematic data using an Apple iPad. This iPad-based system is stand-alone, easy-to-use, can capture drawing data with either a finger or capacitive stylus, is precise, and potentially ubiquitous. RESULTS: The iPad-based system acquires position and time data that is fully compatible with our original spiral analysis program. All of the important indices including degree of severity, speed, presence of tremor, tremor amplitude, tremor frequency, variability of pressure, and tightness are calculated from the digital spiral data, which the application is able to transmit. COMPARISON WITH EXISTING METHOD: While the iPad method is limited by current touch screen technology, it does collect data with acceptable congruence compared to the current Wacom-based method while providing the advantages of accessibility and ease of use. CONCLUSIONS: The iPad is capable of capturing precise digital spiral data for analysis of motor dysfunction while also providing a convenient, easy-to-use modality in clinics and potentially at home.


Subject(s)
Computers, Handheld , Diagnosis, Computer-Assisted/instrumentation , Diagnosis, Computer-Assisted/methods , Hand , Motor Skills , Movement Disorders/diagnosis , Aged , Biomechanical Phenomena , Hand/physiology , Hand/physiopathology , Humans , Linear Models , Middle Aged , Mobile Applications , Movement Disorders/physiopathology , Pressure , Severity of Illness Index , Tremor/diagnosis , Tremor/physiopathology , User-Computer Interface
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