Abstract
AIM: Patients and families can independently identify health conditions through the chatbot teleassessment nursing application. METHODS: Design descriptive with a cross-sectional approach. The sampling technique used in this study was a purposive sampling technique. Setting at African Social Research Initiative (ASRI) Wound Care Pancing Medan, North Sumatra. One hundred and forty-seven at ASRI wound care clinic and 107 samples with characteristics that all people who have Android and have a telegram application. Data were processed and carried out by descriptive statistical tests. Tested the use of chatbots on outpatients at the ASRI wound care clinic. Participants are first taught how to use the application. This was carried out for 5 months from March to July by testing the use of a chatbot on outpatients at the ASRI wound care clinic. RESULTS: The results of research on teleassessment nursing found that 73 respondents (68%) could do it independently and 34 respondents (32%) could not do it due to their first experience of using chatbots, unstable internet networks, not yet proficient in using applications due to age and low educational background. The study also identified the respondent’s ability to make decisions about using health services. CONCLUSION: The telassessment nursing chatbot application allows patients and families to assess general conditions, danger signs and make decisions to use health services. TRIAL REGISTRATION TRIAL: Nursing Health Research Ethics Commission University of North Sumatera with number 2165/VI/SP/2020.
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Ariga, R. A. (2021). Self care nursing: Teleassessment nursing with chatbot application the coronavirus disease-19 pandemic period in north sumatra. Open Access Macedonian Journal of Medical Sciences, 9, 306–310. https://doi.org/10.3889/oamjms.2021.7172
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