Evidence map›Paper›PMID 25308623›Full record

ArticleThe Journal of urology2015

Usage results of a mobile app for managing urinary incontinence.

Jeff Pepper, Amy Zhang, Rui Li, Xiao Hui Wang

Abstract readEvaluation Study
In one paragraph

Article in The Journal of urology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Mitigating urinary incontinence condition using machine learning.BMC medical informatics and decision making · 2022
    Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jeff PepperTouchtown Inc, Oakmont, Pennsylvania.
Amy ZhangFrances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio.
Rui LiFrances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio.
Xiao Hui WangDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Mobile Software for Assisting Individuals in Overcoming Urinary IncontinenceR43AG042162 · NIA · TOUCHTOWN, INC. · PI PEPPER, JEFFREY A · 2012 to 2012
$139k
NIA NIH HHS R43 AG042162NIA NIH HHS R43AG042162-01
6 · The paper itself

Abstract

purposeSlight changes in urinary incontinence severity may be difficult to notice, so that even high functioning patients are unable to detect if urinary incontinence is improving or worsening. We describe a recently released free software app, iDry®, that enables individuals with urinary incontinence to document incontinence symptoms, view progress, evaluate effectiveness of interventions and report status to their health care provider. MATERIALS AND

methodsAfter 2 field trials, iDry was published as a free download from the Apple® App Store and was downloaded 1,231 times in the first 19 months. iDry also collects large quantities of anonymized usage data for research purposes.

resultsData analysis shows that long-term users had significantly more severe urinary incontinence symptoms (p ≤ 0.01) than short-term users. Short-term users reduced pad use by 20% but long-term users' pad use remaining unchanged. Average leakage was reduced 14.6 mg per day for short-term vs 4.5 mg per day for long-term users, but this difference was not statistically significant (p=0.93) due to high data variability (SD 611). There was no significant difference between long-term and short-term users in severity of self-reported stress and urge incontinence. Bladder training positively correlated with a reduction in pad use (p=0.03) and leakage amount (p=0.02).

conclusionsOverall our findings suggest that iDry is a useful, accessible and convenient tool to document urinary incontinence symptoms and improvement, but controlled studies are needed to assess its effectiveness.

Indexed as

Mobile ApplicationsFemaleHumansMaleMiddle AgedSeverity of Illness IndexUrinary Incontinencesoftwareurinary incontinence

Identifiers

PMID25308623
PMCPMC8136036

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.