Development of Detection Instrument Models for Mobility Impairment in The Older Adults Based on A Mobile Health Nursing Application in A Public Health Center
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Introduction:Mobility impairment is a problem in the older adults who have decreased in mobility as it may affect their daily activity. The development of a detection model to identify the problem of mobility impairment in older adults has become a solution that can increase the health care for older adults. This study aimed to develop a health detection instrument models using a mobile health nursing application to detect mobility impairment in older adults.
Methods: This study used action research through a purposive sampling method involving three nurses and twenty-seven cadres to perform the detection process of mobility impairment focused on one hundred and seventy-five older adults in three public health centers in two provinces using an m-health application.
Results: Based on direct observation and questionnaires addressed to the user of the m-health nursing application, 80% stated that the information contained in the mobile health nursing application was appropriate. In terms of speed, only 43.33% stated that the application worked fast, but overall, 66.67% of users stated that they were delighted with the application-based of the instrument model and that they were helped in detecting the mobility disorders that occurred in the older adults.
Conclusion: These applications can be developed into a model that can help nurses, older adults and their family to detect other older adult problems in addition to mobility problems like cognitive function etc.Aran, O., Sanchez-Cortes, D., Do, M. T., & Gatica-Perez, D. (2016). Anomaly detection in elderly daily behavior in ambient sensing environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9997 LNCS, pp. 51–67). https://doi.org/10.1007/978-3-319-46843-3_4
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