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

Patient-Reported Outcome Measures (PROMs) (325) Design and Formative Evaluation of Mobile Apps (746) mHealth for Data Collection and Research (1081) Mobile Health (mhealth) (3156)

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 (3) 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
  3. Wu K, Belza B, Berry D, Lewis F, Zaslavsky O. Digital Health Interventions for Urinary Tract Infection Prevention and Management in People Living with Dementia and Their Family Caregivers: A Scoping Review (Preprint). Journal of Medical Internet Research 2024 View