Implementation of Healthy Living Community Movement Supported Automatic Telehealth Machine for Public Health at Poltekkes Kemenkes Palu
DOI:
https://doi.org/10.3889/oamjms.2022.8945Keywords:
Germas, Hypertension, Telehealth, Automatic telehealth machineAbstract
Background: Indonesia faces serious challenges from a double burden disease caused by changes in people's lifestyles. Since 2010, Non-communicable diseases (NCDs) include hypertension, stroke, heart disease, and diabetes have taken up a growing share of health-care resources. The coronavirus disease epidemic of 2019 (COVID 19) caused by the new coronavirus SARS-CoV2 is the most serious global health issue. Patients with COVID-19 had more hypertension, diabetes, and other cardiovascular diseases, which all require routine health monitoring. Health monitoring will greatly develop along with the development of technology and information 4.0. This includes nursing services in the future that will take advantage of developments in information technology.
Objective: This study aims to implement the healthy living community movement programs using Automatic Telehealth Machine (ATMs) as internet of things for health checking and education at Politeknik Kesehatan Kemenkes Palu.
Methods: This research method is a quasi-experimental intervention research. The population of study were 167 employees of Poltekkes Kemenkes Palu. Sampling process used simple random sampling method with sample size consist of 96 people. The study revealed that majority of respondents were gender and aged, physical activity was generally good, and fruits intake was also good. The measuring instrument used are ATMs device and a questionnaire that has been tested for validity and reliability. Analysis of research data using univariate test (frequency distribution) and bivariate test (t test or alternatives)
Results: The variables that were significantly related to systole were gender and age category (p = 0.03). The variables which were significantly related to diastole were gender (p = 0.02) and age category (p = 0.01). The results revealed that gender, age, physical activity and fruits intake was not associated with total cholesterol levels.
Conclusions: Automatic Telehealth Machine (ATMs) can be implemented for health checking and education in healthy living community movement programs
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Copyright (c) 2022 Zainul Zainul, Junaidi Junaidi, Sigit Mohammad Nuzul, Andi Bungawati, Nasrul Nasrul, Fahmi Hafid (Author)
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