ArticleNeurourology and urodynamics2019
Development of an online personalized self-management intervention for men with uncomplicated LUTS.
Article in Neurourology and urodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05765331 (Evaluating the Effectiveness of Chatbot-Based Intervention on Enhancing Self-management and Decision Self-efficacy Among Men Having Lower Urinary Tract Symptoms With or Without Erectile Dysfunction in the Post COVID-19 Era), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Evaluating the Effectiveness of Chatbot-Based Intervention on Enhancing Self-management and Decision Self-efficacy Among Men Having Lower Urinary Tract Symptoms With or Without Erectile Dysfunction in the Post COVID-19 Era
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Self-Management for Men With Lower Urinary Tract Symptoms: A Systematic Review and Meta-Analysis.Annals of family medicinePooled it
- Effectiveness of a newly developed online self-management program for male patients with uncomplicated lower urinary tract symptoms.Neurourology and urodynamics · 2019Trial
- Strategies to Improve Bladder Control: A Preliminary Case Study.Healthcare (Basel, Switzerland) · 2024Article
- Article
- Development of an online personalized self-management intervention for men with uncomplicated LUTS.Neurourology and urodynamics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo develop an online platform to facilitate evidence-based self-management of lower urinary tract symptoms (LUTS) in men.
methodsUsing the PubMed database (search until January 2017) and relevant guidelines, we reviewed evidence for the self-management of LUTS and identified suitable components for the intervention. Next, we built an algorithm that provided individualized advice based on patient characteristics and symptoms for use on an online platform. Men with LUTS tested the usability of the intervention and provided feedback. Finally, we surveyed urologists and general practitioners to identify potential areas for improvement of the intervention.
resultsWe identified nine self-help interventions from 48 eligible publications. These were as follows: information and education about LUTS, pelvic floor muscle training, bladder training, urethral milking, double voiding, caffeine management, alcohol management, fluid management, and exercise advice. The level of evidence for each item was low due to the paucity of research available. Six men with LUTS reported difficulties understanding and completing the frequency-volume chart online. The 158 surveyed physicians agreed (≥50% positive ratings) on the inclusion of seven advice items, but not for double voiding and fluid management. Respondents noted that some advice should be provided to all men with LUTS, while other advice should only be presented to certain groups. Some recommendations for additions were offered.
conclusionsDespite a lack of evidence for the self-management advice, physicians agreed with most of the included advice. The online platform needs further development. Therefore, adjustments will be made and we will assess its impact in future studies.
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Registered trials
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.