Ignite Creation Date:
2025-12-25 @ 2:46 AM
Ignite Modification Date:
2025-12-31 @ 3:17 PM
Study NCT ID:
NCT05363033
Status:
UNKNOWN
Last Update Posted:
2022-05-05
First Post:
2022-05-02
Is Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Evaluation of a Sarcopenia Prediction Model and Development and Effectiveness of a Nursing Guidance Mobile App
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D055948', 'term': 'Sarcopenia'}], 'ancestors': [{'id': 'D009133', 'term': 'Muscular Atrophy'}, {'id': 'D020879', 'term': 'Neuromuscular Manifestations'}, {'id': 'D009461', 'term': 'Neurologic Manifestations'}, {'id': 'D009422', 'term': 'Nervous System Diseases'}, {'id': 'D001284', 'term': 'Atrophy'}, {'id': 'D020763', 'term': 'Pathological Conditions, Anatomical'}, {'id': 'D013568', 'term': 'Pathological Conditions, Signs and Symptoms'}, {'id': 'D012816', 'term': 'Signs and Symptoms'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'CASE_ONLY'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 120}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'UNKNOWN', 'lastKnownStatus': 'ENROLLING_BY_INVITATION', 'startDateStruct': {'date': '2019-07-01', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2022-05', 'completionDateStruct': {'date': '2022-12', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2022-05-02', 'studyFirstSubmitDate': '2022-05-02', 'studyFirstSubmitQcDate': '2022-05-02', 'lastUpdatePostDateStruct': {'date': '2022-05-05', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2022-05-05', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2022-12', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'changes in sarcopenia-related knowledge and awareness regarding self-care', 'timeFrame': '2019~2022', 'description': 'In this study, the mobile app significantly improved sarcopenia-related knowledge and awareness regarding self-care among the participants'}]}, 'oversightModule': {'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['artificial intelligence, nursing, nursing guidance mobile application, prediction model, sarcopenia'], 'conditions': ['Prediction of High-risk Populations for Sarcopenia']}, 'referencesModule': {'references': [{'pmid': '37814285', 'type': 'DERIVED', 'citation': 'Liao PH, Huang YJ, Ho CS, Chu W. Application of machine learning and its effects on the development of a nursing guidance mobile app for sarcopenia. BMC Nurs. 2023 Oct 9;22(1):369. doi: 10.1186/s12912-023-01545-w.'}]}, 'descriptionModule': {'briefSummary': 'We evaluated a model for the prediction of high-risk populations for sarcopenia in home settings, developed a sarcopenia nursing guidance mobile application, and assessed the effectiveness of this application in influencing sarcopenia-related knowledge and self-care behavior among participants.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '80 Years', 'minimumAge': '20 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'We adopted the convenient sampling method to recruit 120 participants-those who visited the hospital regularly and their accompanying family members', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion criteria were being a member of the public, aged ≥20 years and \\<80 years, and having experience using mobile devices or smartphones. Exclusion criteria were not belonging to a high-risk population for sarcopenia and/or being unable to use the application platform.'}, 'identificationModule': {'nctId': 'NCT05363033', 'briefTitle': 'Evaluation of a Sarcopenia Prediction Model and Development and Effectiveness of a Nursing Guidance Mobile App', 'organization': {'class': 'OTHER', 'fullName': 'National Taipei University of Nursing and Health Sciences'}, 'officialTitle': 'Evaluation of a Sarcopenia Prediction Model and Development and Effectiveness of a Nursing Guidance Mobile App', 'orgStudyIdInfo': {'id': '108A-06'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'one group', 'description': 'Using a one-group pretest-posttest design', 'interventionNames': ['Device: sarcopenia nursing guidance mobile application was developed']}], 'interventions': [{'name': 'sarcopenia nursing guidance mobile application was developed', 'type': 'DEVICE', 'description': "The application enhanced participants' sarcopenia-related knowledge and awareness regarding self-care", 'armGroupLabels': ['one group']}]}, 'contactsLocationsModule': {'locations': [{'zip': '112', 'city': 'Taipei County', 'country': 'Taiwan', 'facility': 'Cheng Hsin General Hospital'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'UNDECIDED'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'National Taipei University of Nursing and Health Sciences', 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Assistant Professor', 'investigatorFullName': 'Pei-Hung Liao', 'investigatorAffiliation': 'National Taipei University of Nursing and Health Sciences'}}}}