Pressure Injury Prediction and Education Model Using a Mobile Application System
NCT ID: NCT05357391
Last Updated: 2022-05-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
160 participants
INTERVENTIONAL
2022-03-01
2023-11-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
2. control group
SUPPORTIVE_CARE
TRIPLE
Study Groups
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The pressure injury prediction and education model group
The experimental group will be provided a pressure injury prediction of the patient and personalized care information of pressure injury by a smart care platform. The participants (primary caregivers) will fill out the questionnaires online at admission (baseline-T0) and before the patient is discharged(T1). The questionnaires will collect the following data, including demographic information(only T0), knowledge, self-efficacy, anxiety, depression of wound care(T0\&T1), and satisfaction of the smart care platform(only T1). The time to fill out the questionnaires will be about 10 minutes.
The Pressure Injury Prediction and Education model using a mobile application system
Data from the medical records will be used to analyze the probability and risk of wound healing for creating a Pressure Injury Prediction and Education Model using a mobile application system.
The control group
Routine care
No interventions assigned to this group
Interventions
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The Pressure Injury Prediction and Education model using a mobile application system
Data from the medical records will be used to analyze the probability and risk of wound healing for creating a Pressure Injury Prediction and Education Model using a mobile application system.
Eligibility Criteria
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Inclusion Criteria
2. The primary caregiver must be at least 20 years old, have clear consciousness, express independently, communicate in Mandarin and Taiwanese, use an Android phone by himself, and use a mobile phone application after explanation.
Exclusion Criteria
20 Years
ALL
Yes
Sponsors
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National Taipei University of Nursing and Health Sciences
OTHER
National Taiwan University Hospital Hsin-Chu Branch
OTHER
Responsible Party
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Principal Investigators
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Tzu-Ling Wu, BS
Role: PRINCIPAL_INVESTIGATOR
National Taiwan University Hospital Hsin-Chu Branch
Locations
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National Taiwan University Hospital Hsin-Chu Branch
Hsinchu, , Taiwan
Countries
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Central Contacts
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Facility Contacts
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References
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Ahmad Zubaidi ZS, Ariffin F, Oun CTC, Katiman D. Caregiver burden among informal caregivers in the largest specialized palliative care unit in Malaysia: a cross sectional study. BMC Palliat Care. 2020 Dec 8;19(1):186. doi: 10.1186/s12904-020-00691-1.
Govina O, Vlachou E, Kalemikerakis I, Papageorgiou D, Kavga A, Konstantinidis T. Factors Associated with Anxiety and Depression among Family Caregivers of Patients Undergoing Palliative Radiotherapy. Asia Pac J Oncol Nurs. 2019 Jul-Sep;6(3):283-291. doi: 10.4103/apjon.apjon_74_18.
Santos CT, Almeida Mde A, Lucena Ade F. The Nursing Diagnosis of risk for pressure ulcer: content validation. Rev Lat Am Enfermagem. 2016 Jun 14;24:e2693. doi: 10.1590/1518-8345.0782.2693.
Wang Y, Chen R, Ding J, Yang L, Chen J, Huang B. Predictive value of pressure ulcer risk for obstructive coronary artery disease. Nurs Open. 2021 Jul;8(4):1848-1855. doi: 10.1002/nop2.835. Epub 2021 Mar 6.
Fishbein JN, Nisotel LE, MacDonald JJ, Amoyal Pensak N, Jacobs JM, Flanagan C, Jethwani K, Greer JA. Mobile Application to Promote Adherence to Oral Chemotherapy and Symptom Management: A Protocol for Design and Development. JMIR Res Protoc. 2017 Apr 20;6(4):e62. doi: 10.2196/resprot.6198.
Drew DA, Nguyen LH, Steves CJ, Menni C, Freydin M, Varsavsky T, Sudre CH, Cardoso MJ, Ourselin S, Wolf J, Spector TD, Chan AT; COPE Consortium. Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. 2020 Jun 19;368(6497):1362-1367. doi: 10.1126/science.abc0473. Epub 2020 May 5.
Other Identifiers
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110-113-E
Identifier Type: -
Identifier Source: org_study_id
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