The Development of Recording and Reporting System for Dengue Surveillance at Tasikmalaya City Health Office in 2021
Downloads
Background: The city of Tasikmalaya experienced a significant increase in cases of Dengue in 2020. This was evidenced by the incidence rate of Dengue, which was 229 per 100,000 people, and the Dengue mortality rate of 1.42%. The implementation of Dengue surveillance in the Tasikmalaya City Health Office faced delays in reporting suspects, cases, and Larva-free rates. Tasikmalaya City Health Office needs a surveillance system that can detect cases early to ensure timely reporting.
Objectives The aim of this study is to design the development of a recording and reporting system for Dengue surveillance in the Tasikmalaya City Health Office.
Methods: This study employed a qualitative research design with an action research approach for system development. Primary data were collected through in-depth interviews with officers and manager of Dengue surveillance. Secondary data were obtained through document studies on the surveillance forms used. The data analysis was conducted descriptively. The development design of the Dengue surveillance system was created using a Data Flow Diagram.
Results: The types of information needed for the development of Dengue surveillance include the number of suspects, cases, and deaths from Dengue Fever on a weekly basis based on person, place, and time; trends in suspects, cases, and deaths from Dengue on a weekly basis; as well as the monthly Larva-free rates. The required data consist of suspect/case data and Dengue death data from weekly reports by primary health centers; a recapitulation of the number of suspects, cases, and Dengue deaths; Larva-free rates; and the population reported monthly by the primary health centers.
Conclusions: The Tasikmalaya City Health Office aims to improve Dengue surveillance by implementing weekly data processing and analysis activities, weekly reports from primary health centers, and biweekly meetings. This will improve workflow procedures and monitor the increase in Dengue cases.
Angky, N. (2022) Mengenal Data Flow Diagram, Binus University School of Accounting. Available at: https://accounting.binus.ac.id/2022/12/16/mengenal-data-flow-diagram/ (Accessed: 5 July 2023).
Dinas Kesehatan Kota Tasikmalaya (2018) Laporan Tahunan Demam Berdarah Dengue Kota Tasikmalaya. Kota Tasikmalaya.
Dinas Kesehatan Kota Tasikmalaya (2019) Laporan Tahunan Demam Berdarah Dengue Kota Tasikmalaya. Kota Tasikmalaya.
Dinas Kesehatan Kota Tasikmalaya (2020) Laporan Tahunan Demam Berdarah Dengue Kota Tasikmalaya. Kota Tasikmalaya.
Hakam, F. (2016) Analisis, Perancangan dan Evaluasi Sistem Informasi Kesehatan. Edisi Pertama. Yogyakarta: Gosyen Publishing.
Hamidi, M.N.S. and Yahya, E. (2018) ‘Surveilans Dan Managemen Berdasarkan Bukti Pada Program Dbd Di Puskesmas Siak Hulu 1 Kabupaten Kampar', Jurnal Ners, 2(2), pp. 51–58. Available at: https://doi.org/https://doi.org/10.31004/jn.v2i2.219.
Ikhtiyaruddin, Alamsyah, A., Muhamadiah, Priwahyuni, Y., and Purba, C. (2020) ‘Surveilans Epidemiologi Penyakit Demam Berdarah Dengue (DBD) di Puskesmas Sungai Raya Kabupaten Indragiri Hilir', Al-Tamimi Kesmas, 9(2), pp. 79–86. Available at: https://doi.org/https://doi.org/10.35328/kesmas.v9i2.1052.
Kementerian Kesehatan Republik Indonesia (2017) ‘Pedoman Pencegahan dan Pengendalian Demam Berdarah Dengue di Indonesia'. Indonesia.
Kementerian Kesehatan RI (2022) PETUNJUK TEKNIS ZERO REPORTING. Jakarta.
Notobroto, H.B. (2020) ‘Pengertian Sistem Informasi Kesehatan '. Surabaya.
Peraturan Menteri Kesehatan RI Nomor 45 Tahun 2014 (2014) tentang Penyelenggaraan Surveilans Kesehatan. Indonesia.
Peraturan Menteri Kesehatan RI Nomor 949 Tahun 2004 (2004) tentang Pedoman Penyelenggaraan Sistem Kewaspadaan Dini Kejadian Luar Biasa (KLB). Indonesia.
Runge-Ranzinger, S., Horstick, O., Marx, M., and Kroeger, A. (2008) ‘What does dengue disease surveillance contribute to predicting and detecting outbreaks and describing trends?', Tropical Medicine and International Health, pp. 1022–1041. Available at: https://doi.org/10.1111/j.1365-3156.2008.02112.x.
Saragih, I., Falefi, R., Pohan, J., Rezeki, S., Elliandy, H. (2019) ‘Analisis Indikator Masukan Program Pemberantasan Demam Berdarah Dengue Di Dinas Kesehatan Provinsi Sumatera Utara', Scientific Periodical of Public Health and Coastal Health, 1(1), pp. 32–41. Available at: https://doi.org/http://dx.doi.org/10.30829/contagion.v1i01.4821.
Setiyadi, N.A. and Hakam, F. (2020) Sistem Informasi Kesehatan: Konsep, Strategi dan Implementasinya. Edisi Pertama. Yogyakarta: Gosyen Publishing.
Singarachchi, W., Hewamalage, A. and Ubeysekara, N.H. (2020) ‘Dengue Pathfinder: a real time web-based field dengue control e-surveillance system', Journal of the College of Community Physicians of Sri Lanka, 26(2), p. 130. Available at: https://doi.org/10.4038/jccpsl.v26i2.8315.
Sribudaya, I., Hargono, A. and Sugianto, G. (2022) ‘Evaluasi Surveilans Demam Berdarah Dengue (DBD) Di Dinas Kesehatan Kota Tasikmalaya Tahun 2020', IAKMI Jurnal Kesehatan Masyarakat Indonesia, 3(2). Available at: https://doi.org/10.46366/ijkmi.3.2.73-84.
Trisnantoro, L. (2008) ‘Bagaimana Strategi Pengembangan Sistem Surveilans Dalam Era Desentralisasi?', Jurnal Manajemen Pelayanan Kesehatan, 11(1), p. 1. Available at: https://doi.org/https://doi.org/10.22146/jmpk.v11i01.2668.
WHO (2004) WHO Comprehensive Assessment of the National Disease Surveillance in Indonesia.
Widyantari, N.W.S., Kardiwinata, M.P. and Suariyani, N.L.P. (2018) ‘Evaluasi Sistem Surveilans DBD di Kabupaten Bangli', Arc. Com. Health, 5(1), pp. 34–42. Available at: https://doi.org/https://doi.org/10.24843/ACH.2018.v05.i01.p05.
Worsnop, C.Z. (2019) ‘Concealing Disease: Trade and Travel Barriers and the Timeliness of Outbreak Reporting', International Studies Perspectives, 20(4), pp. 344–372. Available at: https://doi.org/10.1093/isp/ekz005.
Copyright (c) 2023 Irinedian Sribudaya, Arief Hargono, Lucia Yovita Hendrati, Gian Sugianto
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Media Gizi Kesmas by Unair is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
1. The journal allows the author(s) to hold the copyright and to retain the publishing right of the article without restrictions.
2. The legal formal aspect of journal publication accessibility refers to Creative Commons Attribution-Share-Alike (CC BY-SA).
3. The Creative Commons Attribution-Share-Alike (CC BY-SA) license allows re-distribution and re-use of a licensed work on the conditions that the creator is appropriately credited and that any derivative work is made available under "the same, similar or a compatible license”. Other than the conditions mentioned above, the editorial board is not responsible for copyright violations.
