This paper is in the following e-collection/theme issue:

Patient-Reported Outcome Measures (PROMs) (275) Design and Formative Evaluation of Mobile Apps (661) mHealth for Data Collection and Research (914) Mobile Health (mhealth) (2765)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25364, first published .
Presentation, Treatment, and Natural Course of Severe Symptoms of Urinary Tract Infections Measured by a Smartphone App: Observational and Feasibility Study

Presentation, Treatment, and Natural Course of Severe Symptoms of Urinary Tract Infections Measured by a Smartphone App: Observational and Feasibility Study

Presentation, Treatment, and Natural Course of Severe Symptoms of Urinary Tract Infections Measured by a Smartphone App: Observational and Feasibility Study

Authors of this article:

Akke Vellinga1 Author Orcid Image ;   Karen Farrell2 Author Orcid Image ;   Roisin Fallon2 Author Orcid Image ;   Daniel Hare3 Author Orcid Image ;   Una Sutton-Fitzpatrick4 Author Orcid Image ;   Martin Cormican5, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Kim E, Kim J. The Metaverse for Healthcare: Trends, Applications, and Future Directions of Digital Therapeutics for Urology. International Neurourology Journal 2023;27(Suppl 1):S3 View
  2. Curtis S, Kwong J, Chaung Y, Mazza D, Walsh C, Chua K, Stewardson A. Resistance to first-line antibiotic therapy among patients with uncomplicated acute cystitis in Melbourne, Australia: prevalence, predictors and clinical impact. JAC-Antimicrobial Resistance 2023;6(1) View