Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Comparison of a Paper and Automated Bladder Diary in Pediatric Patients

Universiteit Antwerpen · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
na
The purpose of this study is to compare an automated bladder diary (autoBD) to a paper bladder diary (pBD) on their level of agreement, patient compliance and satisfaction. It is a mixed methods, randomized 2x2 crossover trial. Pediatric patients (6 to 12 years) presenting to the clinic and identified as requiring a bladder diary will be recruited. Participants will be randomized either to group 1, where they complete the paper bladder diary (pBD) and then the automated bladder diary (autoBD), or to group 2, where they complete the autoBD and then the pBD. Both diaries are kept for at least 2 consecutive days with a wash-out period of 2 to 6 days between the two diaries. Mean differences and the level of agreement between the pBD and autoBD will be analysed using Bland Altman plots for key diary parameters. After completion of each diary format, participants will complete a short online survey regarding compliance, satisfaction and their preference, if any. Finally, a selection of participants and their parents will be invited for an open-ended interview. The participating healthcare professionals will be asked to score each pBD and autoBD on patient compliance when processing the diary. Furthermore, surveys and open-ended interviews will be conducted to assess their overall satisfaction of each diary type and their preference, if any.
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

Record · ID 905306
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