Evidence map›Paper›PMID 40705415›Full record

ArticleJMIR formative research2025

Health Care Professionals' Perspectives on Technology Use in Urinary Care: Cross-Sectional Survey-Based Study.

Nicole Zhang, Ni Zhang, Yun Wang, Rachel Wong, Kaylin Ma

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nicole ZhangValley Foundation School of Nursing, College of Health and Human Sciences, San Jose State University, San Jose, CA, United States.ORCID 0000-0003-0918-0231
Ni ZhangDepartment of Public Health and Recreation, College of Health and Human Sciences, San Jose State University, San Jose, CA, United States.ORCID 0000-0002-1811-2655
Yun WangBiomedical Engineering Department, Charles W Davidson College of Engineering, San Jose State University, San Jose, CA, United States.ORCID 0000-0002-7711-1126
Rachel WongDepartment of Public Health and Recreation, College of Health and Human Sciences, San Jose State University, San Jose, CA, United States.ORCID 0009-0007-4345-8520
Kaylin MaValley Foundation School of Nursing, College of Health and Human Sciences, San Jose State University, San Jose, CA, United States.ORCID 0009-0004-7416-1250

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary issues pose a significant burden on health care systems, necessitating innovative solutions to enhance patient care and alleviate the provider burden.

objectiveThe objective of this study was to explore health care professionals' perceptions of urinary issues and assess their acceptance and readiness to adopt wearable and remote technologies for managing these conditions. The study aimed to identify the attributes and barriers influencing technology integration in clinical practice, using established theoretical frameworks, such as the Health Belief Model (HBM) and the Technology Acceptance Model (TAM).

methodsA cross-sectional survey-based study was conducted. A structured survey questionnaire was administered online to a sample of 256 health care professionals recruited through social media and personal networks. The survey included both closed- and open-ended questions to gather data. Quantitative data were analyzed using descriptive statistics, Pearson correlation, and multiple regression.

resultsQuantitative analysis revealed strong correlations between belief agreement and factors such as health literacy (r=0.591, P<.001), the perceived burden (r=0.628, P<.001), device attributes (r=0.650, P<.001), and support services (r=0.622, P<.001). Multiple regression analysis identified that the perceived burden (β=.284, P=.01), device attributes (β=.371, P<.001), and integrating technology (β=.312, P<.001) are positively associated. The survey demonstrated strong internal consistency, with Cronbach α=.85, indicating high reliability in measuring health care professionals' perceptions of technology adoption.

conclusionsHealth care professionals' acceptance of technology in managing urinary issues is influenced by factors such as the perceived burden, device attributes, and the ease of integrating technology into existing workflows. Addressing barriers to technology adoption, providing comprehensive training and support, and prioritizing user-centered design are crucial for successful technology integration. Future research should focus on longitudinal studies and explore the perspectives of patients and other stakeholders to gain a more holistic understanding of technology integration in urological care.

Indexed as

Attitude of Health PersonnelHealth PersonnelAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTelemedicineinternet researchsurvey studytechnologyurinary health technologyurology

Identifiers

PMID40705415
PMCPMC12332454

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.