Presentation, Treatment, and Natural Course of Severe Symptoms of Urinary Tract Infections Measured by a Smartphone App: Observational and Feasibility Study.
general practice
mobile phone
smartphone application
urinary tract infections
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
03 09 2021
03 09 2021
Historique:
received:
29
10
2020
accepted:
16
03
2021
revised:
04
01
2021
entrez:
3
9
2021
pubmed:
4
9
2021
medline:
29
10
2021
Statut:
epublish
Résumé
Urinary tract infections (UTIs) are one of the most common conditions in women. Current information on the presentation, management, and natural course of the infection is based on paper diaries filled out and subsequently posted by patients. The aim of this study is to explore the feasibility of a smartphone app to assess the natural course and management of UTIs. A smartphone app was developed to collect data from study participants presenting with symptoms of UTI in general practice. After initial demographic and treatment information, symptom severity was recorded by the patient after a reminder on their smartphone, which occurred twice daily for a period of 7 days or until symptom resolution. A total of 181 women aged 18-76 years downloaded the smartphone app. The duration of symptoms was determined from the results of 178 participants. All patients submitted a urine sample, most patients were prescribed an antibiotic (163/181, 90.1%), and 38.7% (70/181) of the patients had a positive culture. Moderately bad or worse symptoms lasted a mean of 3.8 (SD 3.2; median 4) days, and 70.2% (125/178) of the patients indicated that they were cured on day 4 after consultation. This compares with other research assessing symptom duration and management of UTIs using paper diaries. Patients were very positive about the usability of the smartphone app and often found the reminders supportive. On the basis of the feedback and the analysis of the data, some suggestions for improvement were made. Smartphone diaries for symptom scores over the course of infections are an efficient and acceptable means of collecting data in research.
Sections du résumé
BACKGROUND
Urinary tract infections (UTIs) are one of the most common conditions in women. Current information on the presentation, management, and natural course of the infection is based on paper diaries filled out and subsequently posted by patients.
OBJECTIVE
The aim of this study is to explore the feasibility of a smartphone app to assess the natural course and management of UTIs.
METHODS
A smartphone app was developed to collect data from study participants presenting with symptoms of UTI in general practice. After initial demographic and treatment information, symptom severity was recorded by the patient after a reminder on their smartphone, which occurred twice daily for a period of 7 days or until symptom resolution.
RESULTS
A total of 181 women aged 18-76 years downloaded the smartphone app. The duration of symptoms was determined from the results of 178 participants. All patients submitted a urine sample, most patients were prescribed an antibiotic (163/181, 90.1%), and 38.7% (70/181) of the patients had a positive culture. Moderately bad or worse symptoms lasted a mean of 3.8 (SD 3.2; median 4) days, and 70.2% (125/178) of the patients indicated that they were cured on day 4 after consultation. This compares with other research assessing symptom duration and management of UTIs using paper diaries. Patients were very positive about the usability of the smartphone app and often found the reminders supportive. On the basis of the feedback and the analysis of the data, some suggestions for improvement were made.
CONCLUSIONS
Smartphone diaries for symptom scores over the course of infections are an efficient and acceptable means of collecting data in research.
Identifiants
pubmed: 34477567
pii: v23i9e25364
doi: 10.2196/25364
pmc: PMC8449294
doi:
Substances chimiques
Anti-Bacterial Agents
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e25364Informations de copyright
©Akke Vellinga, Karen Farrell, Roisin Fallon, Daniel Hare, Una Sutton-Fitzpatrick, Martin Cormican. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 03.09.2021.
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