ClinicalTrials.gov
public full text
Public Domain
Patient Satisfaction of Virtual vs In-Person Workup and Treatment of Lower Urinary Tract Symptoms.
This study is being done to compare usefulness of data collected in uroflowmetry, a test that measures the amount of urine released from the body, at home versus in the doctor's office. Additionally, investigators are assessing patient satisfaction when completing a virtual visit for lower urinary tract symptoms (LUTS), related to prostatic enlargement, compared to an in person visit. The three devices being investigated have not been used in the home setting to make urinary measurements as is typically done in clinic. The goal is to test the effectiveness and accuracy of these devices compared to our standard clinical practices and demonstrate their ability to provide useful information in the home setting.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Impact of Using the Airseal System With Ultra-low Pneumoperitoneum in Patients Undergoing Robot-assisted Radical Prostatectomy: A Prospective, Comparative, Randomized Clinical Study.#916043
- A Study of Virtual Reality During Urological Procedures#873991
- The Utility of Urinalysis Prior to In-Office Procedures#811072
- An Evaluation of the PureWick™ Male External Catheter Versus an Established Comparator Overnight in the Home Setting for Incontinence in Adult Males#1089068
- First-in-man Safety and Efficacy Trial of a Novel Non-invasive Bladder Emptying Device: The NIBED Study#849347
Record · ID 1211763
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive