Real-time daily assessment of work interference on healthcare professionals' restroom use: A pilot study

Examining workplace behaviors in adult women with urinary incontinence: A pilot study

BACKGROUND

Urinary incontinence is a growing issue among adult women globally. Limited data exist examining the impact of occupational, environmental, and behavioral factors on urinary incontinence.

OBJECTIVE

This quantitative, cross-sectional pilot study examined the workplace behaviors of adult women experiencing urinary incontinence. It was hypothesized that specific jobs and work environments would be associated with increased urinary incontinence and urgency based on identified behaviors and work-related conditions.

DESIGN

This study is a quantitative, cross-sectional survey.

METHODS

Adult women (18 years and older) with a history of urinary incontinence were recruited from August 2022 to February 2023 to complete a one-time survey consisting of multiple-choice and short answer questions identifying specific workplace behaviors and symptoms of urinary incontinence. Descriptive statistics and data categorization were used to observe outcomes and examine relationships between urinary incontinence and particular professions.

RESULTS

Urinary incontinence and urgency-related symptoms affected healthcare and business professionals at a higher prevalence. The most commonly reported behaviors across all professions consisted of withholding urine and utilizing absorbance products.

CONCLUSION

The results of this study will help guide women's health practitioners in exploring current workplace behaviors that may contribute to urinary incontinence in adult women. With this knowledge, practitioners can provide meaningful education to employers and employees to prioritize toileting behaviors in the workplace.

Design and Optimization of Urinary Real-Time Nursing Model Based on Medical Internet of Things

The medical Internet of Things (IoTs) can bind intelligent sensing devices with urinary nursing recipients and integrate information into various hospital information systems through network communication, so as to realize the intelligent perception, data collection, remote monitoring, information sharing, and other functions of urinary real-time nursing recipients. The urinary real-time nursing model can complete the expansion of hospital information system data to the bedside and the instant exchange of terminal data with the system through the medical IoTs and wireless local area network. Based on the summary and analysis of previous research results, this paper expounds on the research status and significance of the urinary real-time nursing model, elaborates on the development background, current status, and future challenges of medical IoTs, introduces the methods and principles of medical IoTs level evaluation system and transformation rules-based optimization algorithm, conducts urinary real-time nursing model design based on medical IoTs, analyzes model hardware design based on medical IoTs, performs model software design based on medical IoTs, proposes the urinary real-time nursing model optimization based on medical IoTs, explores the front-end function optimization of the urinary real-time nursing, implements the system program optimization of the urinary real-time nursing, discusses the hierarchical architecture of the urinary real-time nursing model, and finally carries out the role function analysis of the medical IoTs in the urinary real-time nursing model. The study results show that the urinary real-time nursing model based on medical IoTs can accurately and efficiently identify, manage, and integrate clinical nursing procedures and data such as patients, diagnoses, drugs, and can optimize nursing workflow, strengthen quality control, and improve nursing efficiency and provide patients with more convenient nursing services. The research results of this paper provide a reference for further research on the design and optimization of urinary real-time nursing model based on medical IoTs.