Nur Maulina, Lidya
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EVALUATION OF DIPHTHERIA SURVEILLANCE SYSTEM IN PROBOLINGGO DISTRICT: STUDY OF SYSTEM APPROACH AND ATTRIBUTES: Evaluasi Sistem Surveilans Difteri di Kabupaten Probolinggo: Studi Pendekatan Sistem dan Atribut Nur Maulina, Lidya; Novita Sari, Siti Shofiya; Tarawally, Abubakar; Sholikah, Sholikah; Anjar, Retno
Jurnal Berkala Epidemiologi Vol. 13 No. 2 (2025): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V13I22025.102-111

Abstract

Background: There is still an outbreak of diphtheria in the Probolinggo district in 2023. Diphtheria mainly affects children who are not immunized. Support through a surveillance system is needed to overcome the diphtheria problem. Purpose: This study aims to describe the quality of diphtheria surveillance systems based on system approach and surveillance attributes. Methods: Descriptive research was carried out on 17 samples with an evaluation study on the diphtheria surveillance system in 2023 at health centers in the working area of the Probolinggo District Health Office. Data were collected by interview and document study using questionnaires and check list sheets. Data analysis was carried out by describing the system components and attributes of the surveillance system in 17 respondents, compared with the Diphtheria control guideline book 2023, Indonesian Minister of Health Regulation No. 45 of 2014, and surveillance attributes from CDC. The information obtained was presented in the form of tables and narratives. Results: The evaluation of diphtheria surveillance system components (input, process, output) in Probolinggo District was done using surveillance guidelines. Meanwhile, the diphtheria surveillance system assessment based on attributes showed simplicity, flexibility, acceptability, representativeness, stability, and good data quality. However, the system is not yet sensitive, and timeliness is still low. Conclusion: The implementation of the diphtheria surveillance system has mainly been carried out well, supported by the completeness of several surveillance attributes. Optimizing the use of the  Early Warning and Response System (EWS) application is necessary to improve the current surveillance system.
EVALUATION OF DIPHTHERIA SURVEILANCE SYSTEM IN PROBOLINGGO DISTRICT :STUDY OF SYSTEM APPROACH AND ATTRIBUTES Nur Maulina, Lidya; Shofiya Novita Sari, Siti; Sholikah, Sholikah; Anjar, Retno
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): The 3th MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background : In 2023 there were still deaths due to diphtheria outbreaks in Probolinggo Regency with a CFR (Case Fatality Rate) of 33.33%. Therefore, support is needed through surveillance systems in order to solve different problems. Objective : This study aims to describe the quality of different surveillance systems based on the system approach and surveillance system attributes. Research Methods/ Implementation Methods : This research an evaluation study on the diphtheria surveillance system in 2023 at 17 Puskesmas in the working area of the Probolinggo District Health Office. Respondents were 17 people. Data were collected by interview and document study using questionnaires and check list sheets. Data analysis was conducted by describing the system components and attributes of the surveillance system, and comparing them with the 2023 Diphtheria Control Guidelines, Indonesian Minister of Health Regulation No. 45 of 2014, and surveillance attributes (Guidelines for Evaluation of Public Health Surveillance System) from the CDC. The information obtained is presented in the form of tables and narratives. Results : Evaluation of the diphtheria surveillance system based on inputs, processes, and outputs, namely all respondents (100%) who have a workload of more than one program, officers who attend training (76.47), there are still (41.18%) who have not conducted routine data analysis, and there are still (47.06%) late sending reports, data visualization has not been done (35.29%). While the assessment of surveillance attributes showed that the diphtheria surveillance system is simple, flexible, acceptable, high stability. However, the system is not sensitive, not timely, low positive predictive value because the screening of suspects is still loose and not representative. Conclusion/Lesson Learned : The implementation of the diphtheria surveillance system has mostly been carried out well, supported by the completeness of several surveillance attributes. It is necessary to provide standard operating procedures for recording and reporting, improve coordination with surveillance program holders at Puskesmas to send routine reports on time and optimise the screening of diphtheria suspects.