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All Journal Journal of Health Innovation and Environmental Education
Thanjangreed, Weerapong
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Humanities Education Environmental Science Public Health

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Relationship Between Environmental Sanitation and Dengue Hemorrhagic Fever Incidents Cortés, Rafael Rodríguez; Thanjangreed, Weerapong; Chertenko, Taisia
Journal of Health Innovation and Environmental Education Vol. 2 No. 1 (2025): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jhiee.v2i1.1736

Abstract

Purpose of the study: The purpose of this study was to analyze the relationship between environmental sanitation and the incidence of Dengue Hemorrhagic Fever in the Unidad de Salud Work Area. Methodology: The study employed an analytical design using a survey method with a retrospective case-control approach. A total of 50 respondents were purposively sampled, comprising 25 Dengue Hemorrhagic Fever patients and 25 neighbors within ±10 meters who had no history of Dengue Hemorrhagic Fever. Data collection utilized a validated questionnaire (Cronbach's α = 0.803) focusing on environmental sanitation and vector control practices. Data analysis included univariate analysis for descriptive statistics and bivariate analysis using the chi-square test at a 95% confidence level to determine significant associations between risk factors and Dengue Hemorrhagic Fever incidence. Main Findings: The results of the study showed that there was a significant relationship between the independent variables, namely there was a relationship between house conditions and the incidence of Dengue Hemorrhagic Fever (p-value = 0.023), there was a relationship between water reservoir conditions and the incidence of Dengue Hemorrhagic Fever (p-value = 0.010), and there was a relationship between the waste disposal system and the incidence of Dengue Hemorrhagic Fever (p-value = 0.005) in the Unidad de Salud Work Area. Novelty/Originality of this study: This study offers a comprehensive approach to identify significant environmental determinants in influencing dengue incidence, which can form the basis for developing community-based interventions to improve the effectiveness of vector control.
Designing a Web-Based Health Information System to Improve Data Accuracy and Service Quality at Phana Hospital, Amnat Charoen Thanjangreed, Weerapong; Malaluan, Lloyd Arvin
Journal of Health Innovation and Environmental Education Vol. 2 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jhiee.v2i2.2879

Abstract

Purpose of the study: This study aimed to design and evaluate a web-based Health Information System to improve data accuracy and service quality at Phana Hospital, Amnat Charoen. Methodology: A research and development design with a mixed-method sequential approach was employed. The system was developed using a structured SDLC framework and implemented over a three-month pilot period. Data accuracy was assessed through medical record audits (n=1,250), usability was measured using the System Usability Scale (n=35 staff), and service quality was evaluated using a modified SERVQUAL questionnaire (n=120 patients). Statistical analysis included paired t-tests to compare pre- and post-implementation outcomes. Main Findings: Incomplete records decreased from 21.0% to 11.8%, duplication errors declined from 10.7% to 4.9%, and average documentation time was reduced from 14.2 to 10.6 minutes (p < 0.001). Service quality improved significantly across all five dimensions, with reliability increasing by +0.67 and responsiveness by +0.69 points. The system achieved a SUS score of 78.4, indicating good usability. Novelty/Originality of this study: This study introduces an integrative framework linking workflow-based system design, embedded real-time validation mechanisms, and service quality performance evaluation within a district-level hospital context, providing a scalable and context-sensitive digital transformation model.
Co-Authors Chertenko, Taisia Cortés, Rafael Rodríguez Malaluan, Lloyd Arvin