{"title":"A New Surveillance Model of Tuberculosis Transmission Control Based on Geographic Information System in the Primary Health Care.","authors":"Bahtera Bindavid Purba, Albiner Siagian, Juanita, Evawany Aritonang, Dahlia Purba","doi":"10.5455/aim.2022.30.287-294","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis can cause a substantial challenge against public health, especially in the developing countries which have low level of socio-economic condition that does not support the control over tuberculosis transmission and infection.</p><p><strong>Objective: </strong>To find a new surveillance model of tuberculosis transmission control based on geographic information system data in improving the tuberculosis transmission control and treatment outcome.</p><p><strong>Methods: </strong>Effectiveness test of the self-monitoring of calendar documentation on the tuberculosis transmission control and outcome treatment with quasi-experimental post-test only with control group design. The analytical unit consisted of 96 tuberculosis cases as the self-monitoring group of calendar documentation (intervention) and 87 tuberculosis cases as the control group sourced of two different primary health care.</p><p><strong>Results: </strong>The self-monitoring intervention of calendar documentation increased the average treatment effect on medicines intake control 0.11 (95% CI: 0.01-0.21), environment control 0.32 (95% CI: 0.19-46), droplets nuclei control 0.49 (95% CI: 0.36-0.61), cured 0.22 (95% CI: 0.09-0.36), completed 0.18 (95% CI: 0.09-0.26), drop out 0.09 (95% CI: 0.01-0.16), and failure of treatment 0.18 (95% CI: 0.09-0.26) of the control group (baseline).</p><p><strong>Conclusion: </strong>The final result of this research found a new surveillance model of tuberculosis transmission control in google earth mapping aplication based on Geographic Information system.</p>","PeriodicalId":7074,"journal":{"name":"Acta Informatica Medica","volume":" ","pages":"287-294"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/75/b3/AIM-30-287.PMC9665415.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Informatica Medica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5455/aim.2022.30.287-294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Tuberculosis can cause a substantial challenge against public health, especially in the developing countries which have low level of socio-economic condition that does not support the control over tuberculosis transmission and infection.
Objective: To find a new surveillance model of tuberculosis transmission control based on geographic information system data in improving the tuberculosis transmission control and treatment outcome.
Methods: Effectiveness test of the self-monitoring of calendar documentation on the tuberculosis transmission control and outcome treatment with quasi-experimental post-test only with control group design. The analytical unit consisted of 96 tuberculosis cases as the self-monitoring group of calendar documentation (intervention) and 87 tuberculosis cases as the control group sourced of two different primary health care.
Results: The self-monitoring intervention of calendar documentation increased the average treatment effect on medicines intake control 0.11 (95% CI: 0.01-0.21), environment control 0.32 (95% CI: 0.19-46), droplets nuclei control 0.49 (95% CI: 0.36-0.61), cured 0.22 (95% CI: 0.09-0.36), completed 0.18 (95% CI: 0.09-0.26), drop out 0.09 (95% CI: 0.01-0.16), and failure of treatment 0.18 (95% CI: 0.09-0.26) of the control group (baseline).
Conclusion: The final result of this research found a new surveillance model of tuberculosis transmission control in google earth mapping aplication based on Geographic Information system.