The Impact of Chatbot-aid on Promoting Self-management of Men's Health in the Post COVID-19 Era
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
1 other identifier
interventional
100
1 country
1
Brief Summary
The AI chatbot as an artificial intelligence technology provides disease information and health care through digital assistance. However, the effectiveness of chatbot in promoting men's health in the field of urology needs further research to evaluate its actual results. The purpose of this study is to explore the impact of AI chatbot-aid intervention on enhancing self-management, and decision self-efficacy among men with lower urinary tract symptoms (LUTS) due to an enlarged prostate, and with or without erectile dysfunction (ED) in the post COVID-19 era.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jan 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 2, 2023
CompletedFirst Submitted
Initial submission to the registry
March 5, 2023
CompletedFirst Posted
Study publicly available on registry
March 13, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedMarch 13, 2023
March 1, 2023
12 months
March 5, 2023
March 9, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Men's Health Knowledge Score
The 15 items of the Men's Health knowledge score are based on urination, prostate, and erectile dysfunction disorders. A total of 6 domains are to create men's health knowledge, which is used to evaluate the effectiveness of chatbot in promoting men's health knowledge.
Baseline and 2-4 weeks after intervention.
Partners in Health Scale
The Partners in Health (PIH) is a validated,12 items questionnaire scored on a self-rated 9-point Likert scale (range: 0-8; higher scores indicate better self-management).
Baseline and 2-4 weeks after intervention.
Decision Self-Efficacy Scale
The 11 items of the Decision Self-Efficacy Scale (DSES) used to assess the self-confidence of participants in their ability to make health decisions, ranged from 0 (not at all confident) to 4 (very confident).
Baseline and 2-4 weeks after intervention.
Secondary Outcomes (1)
The evaluation of chatbot satisfaction.
2-4 weeks after intervention.
Study Arms (2)
Chatbot-aid intervention
EXPERIMENTALChatbot-aid intervention group
Control group
NO INTERVENTIONWritten routine nursing health education guidance intervention.
Interventions
The AI chatbot is a kind of artificial intelligence technology that can help increase knowledge and understanding of men's health issues. That interacts with subjects through literal text and provides educational resources, advice, and assistance related to lifestyle changes. The chatbot is a valuable aid to increase men's health by providing information about enlarged prostate with urination problems and erectile dysfunction.
Eligibility Criteria
You may qualify if:
- Age between 45 years to 80 years old
- Prostate enlargement with lower urinary tract symptoms
- Need a mobile phone and willing to download the line chatbot
You may not qualify if:
- Psychosis
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cheng Hsin General Hospital
Taipei, 112, Taiwan
Related Publications (17)
Albarqouni L, Sanders S, Clark J, Tikkinen KAO, Glasziou P. Self-Management for Men With Lower Urinary Tract Symptoms: A Systematic Review and Meta-Analysis. Ann Fam Med. 2021 Mar-Apr;19(2):157-167. doi: 10.1370/afm.2609.
PMID: 33685877BACKGROUNDBarry MJ, Fowler FJ Jr, O'Leary MP, Bruskewitz RC, Holtgrewe HL, Mebust WK, Cockett AT. The American Urological Association symptom index for benign prostatic hyperplasia. The Measurement Committee of the American Urological Association. J Urol. 1992 Nov;148(5):1549-57; discussion 1564. doi: 10.1016/s0022-5347(17)36966-5.
PMID: 1279218BACKGROUNDBlanker MH, Brandenbarg P, Slijkhuis BGC, Steffens MG, van Balken MR, Jellema P. Development of an online personalized self-management intervention for men with uncomplicated LUTS. Neurourol Urodyn. 2019 Aug;38(6):1685-1691. doi: 10.1002/nau.24040. Epub 2019 May 20.
PMID: 31107577BACKGROUNDBortnick E, Brown C, Simma-Chiang V, Kaplan SA. Modern best practice in the management of benign prostatic hyperplasia in the elderly. Ther Adv Urol. 2020 May 27;12:1756287220929486. doi: 10.1177/1756287220929486. eCollection 2020 Jan-Dec.
PMID: 32547642BACKGROUNDCalogero AE, Burgio G, Condorelli RA, Cannarella R, La Vignera S. Epidemiology and risk factors of lower urinary tract symptoms/benign prostatic hyperplasia and erectile dysfunction. Aging Male. 2019 Mar;22(1):12-19. doi: 10.1080/13685538.2018.1434772. Epub 2018 Feb 2.
PMID: 29392976BACKGROUNDCapogrosso P, Boeri L, Pozzi E, Ventimiglia E, Schifano N, Abbate C, Matloob R, Deho F, Montorsi F, Salonia A. Is It Compulsory to Investigate for Erectile Dysfunction in Patients Presenting for Low Urinary Tract Symptoms? Eur Urol Focus. 2021 Jan;7(1):172-177. doi: 10.1016/j.euf.2019.08.007. Epub 2019 Aug 30.
PMID: 31474582BACKGROUNDChapple C, Castro-Diaz D, Chuang YC, Lee KS, Liao L, Liu SP, Wang J, Yoo TK, Chu R, Sumarsono B. Prevalence of Lower Urinary Tract Symptoms in China, Taiwan, and South Korea: Results from a Cross-Sectional, Population-Based Study. Adv Ther. 2017 Aug;34(8):1953-1965. doi: 10.1007/s12325-017-0577-9. Epub 2017 Jul 7.
PMID: 28687936BACKGROUNDDumbraveanu I, Ceban E, Banov P. Lower urinary tract symptoms and erectile dysfunction in men from the Republic of Moldova. J Med Life. 2018 Apr-Jun;11(2):153-159.
PMID: 30140322BACKGROUNDFeldman HA, Goldstein I, Hatzichristou DG, Krane RJ, McKinlay JB. Impotence and its medical and psychosocial correlates: results of the Massachusetts Male Aging Study. J Urol. 1994 Jan;151(1):54-61. doi: 10.1016/s0022-5347(17)34871-1.
PMID: 8254833BACKGROUNDGhose A, Roy S, Vasdev N, Olsburgh J, Dasgupta P. The Emerging Role of Artificial Intelligence in the Fight Against COVID-19. Eur Urol. 2020 Dec;78(6):775-776. doi: 10.1016/j.eururo.2020.09.031. Epub 2020 Sep 17.
PMID: 32994064BACKGROUNDGoldenthal SB, Portney D, Steppe E, Ghani K, Ellimoottil C. Assessing the feasibility of a chatbot after ureteroscopy. Mhealth. 2019 Mar 15;5:8. doi: 10.21037/mhealth.2019.03.01. eCollection 2019.
PMID: 31019961BACKGROUNDGriffith JW, Messersmith EE, Gillespie BW, Wiseman JB, Flynn KE, Kirkali Z, Kusek JW, Bavendam T, Cella D, Kreder KJ, Nero JJ, Corona ME, Bradley CS, Kenton KS, Helfand BT, Merion RM, Weinfurt KP; LURN Study Group. Reasons for Seeking Clinical Care for Lower Urinary Tract Symptoms: A Mixed Methods Study. J Urol. 2018 Feb;199(2):528-535. doi: 10.1016/j.juro.2017.07.067. Epub 2017 Jul 20.
PMID: 28734864BACKGROUNDLi JO, Liu H, Ting DSJ, Jeon S, Chan RVP, Kim JE, Sim DA, Thomas PBM, Lin H, Chen Y, Sakomoto T, Loewenstein A, Lam DSC, Pasquale LR, Wong TY, Lam LA, Ting DSW. Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective. Prog Retin Eye Res. 2021 May;82:100900. doi: 10.1016/j.preteyeres.2020.100900. Epub 2020 Sep 6.
PMID: 32898686BACKGROUNDNadarzynski T, Miles O, Cowie A, Ridge D. Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study. Digit Health. 2019 Aug 21;5:2055207619871808. doi: 10.1177/2055207619871808. eCollection 2019 Jan-Dec.
PMID: 31467682BACKGROUNDNadarzynski T, Puentes V, Pawlak I, Mendes T, Montgomery I, Bayley J, Ridge D. Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis. Sex Health. 2021 Nov;18(5):385-393. doi: 10.1071/SH21123.
PMID: 34782055BACKGROUNDRosen RC, Riley A, Wagner G, Osterloh IH, Kirkpatrick J, Mishra A. The international index of erectile function (IIEF): a multidimensional scale for assessment of erectile dysfunction. Urology. 1997 Jun;49(6):822-30. doi: 10.1016/s0090-4295(97)00238-0.
PMID: 9187685BACKGROUNDWang TJ, Chiu PP, Chen KK, Hung LP. Efficacy of a decision support intervention for reducing decisional conflict in patients with elevated serum prostate-specific antigen: A randomized controlled trial. Eur J Oncol Nurs. 2021 Feb;50:101865. doi: 10.1016/j.ejon.2020.101865. Epub 2020 Nov 4.
PMID: 33212360BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Kuang-Kuo Chen, MD, PhD
Cheng-Hsin General Hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 5, 2023
First Posted
March 13, 2023
Study Start
January 2, 2023
Primary Completion
December 31, 2023
Study Completion
December 31, 2023
Last Updated
March 13, 2023
Record last verified: 2023-03
Data Sharing
- IPD Sharing
- Will not share
There is not a plan to make IPD available.