Communicating Diagnostic Preferences for a Chronic Urinary Tract Infection Among the Adult Female Population

Background: Patient stories regarding their experiences of a urinary tract infection, and the language used in dialogue, details the severity and long-lasting consequences of their infection. The aim of this study was to understand the language and dialogue that patients use when discussing diagnosis and management processes that should be embedded as standard practice for their diagnostic bladder journey among the adult female population. Methods: This study adopted a descriptive-interpretive qualitative research approach. Thirty semi-structured interviews were conducted as part of a wider study which focused on diagnosis and management of a urinary tract infection. Data were analyzed using NVivoTM software to identify thematic insight. Results: The main concept that emerged from language expressed through dialogue, was that the patients used collective words and phrases that demonstrated their need for effective diagnosis and management of their urinary tract infection. Diagnostic screening processes that would be straightforward and accurate was their main priority, and having a true record of infection from the urine specimen they produced was frequently articulated in the language they used. Conclusion: Understanding language expressed through dialogue when discussing diagnosis and management of a urinary tract infection are important aspects that should be embedded as standard practice among the adult female population diagnosed with a urinary tract infection.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research in Women’s Studies
Published
2025-05-08
DOI
https://doi.org/10.33422/jarws.v3i1.860
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Communicating Diagnostic Preferences for a Chronic Urinary Tract Infection Among the Adult Female Population

Theodora Stroumpouki, Linda Collins, Chrysi Leliopoulou, Mwanaisha Yawawa
Journal of Advanced Research in Women’s Studies
Colorectal Cancer Screening and Detection
article

Communicating Diagnostic Preferences for a Chronic Urinary Tract Infection Among the Adult Female Population

Theodora Stroumpouki, Linda Collins, Chrysi Leliopoulou, Mwanaisha Yawawa
article en

Abstract

Background: Patient stories regarding their experiences of a urinary tract infection, and the language used in dialogue, details the severity and long-lasting consequences of their infection. The aim of this study was to understand the language and dialogue that patients use when discussing diagnosis and management processes that should be embedded as standard practice for their diagnostic bladder journey among the adult female population. Methods: This study adopted a descriptive-interpretive qualitative research approach. Thirty semi-structured interviews were conducted as part of a wider study which focused on diagnosis and management of a urinary tract infection. Data were analyzed using NVivoTM software to identify thematic insight. Results: The main concept that emerged from language expressed through dialogue, was that the patients used collective words and phrases that demonstrated their need for effective diagnosis and management of their urinary tract infection. Diagnostic screening processes that would be straightforward and accurate was their main priority, and having a true record of infection from the urine specimen they produced was frequently articulated in the language they used. Conclusion: Understanding language expressed through dialogue when discussing diagnosis and management of a urinary tract infection are important aspects that should be embedded as standard practice among the adult female population diagnosed with a urinary tract infection.

Journal of Advanced Research in Women’s StudiesVol. 3(1)
University of East Anglia (GB), Southeastern Louisiana University (US), Kingston University London (GB), Kingston University (US)
Openalex Percentile: Top 85%
Colorectal Cancer Screening and Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.