OBSTACLE OF COVID-19 DIGITAL SURVEILLANCE AT PUBLIC HEALTH CENTERS: EXPLORATORY STUDY IN WEST JAVA
Hambatan Surveillans Digital COVID-19 pada Pusat Kesehatan Masyarakat: Studi Explorasi di Jawa Barat
Downloads
Background: The quality of COVID-19 data from surveillance information systems is still an issue in low-middle-income countries (LMIC), including Indonesia, which uses various applications that have the potential to affect surveillance performance. Purpose: To explore the procedures and obstacles to using various digital surveillance applications at Public Health Centers (PHCs) in Indonesia. Methods: Qualitative research with exploratory studies was used. The setting was in the PHC in Kuningan, Majalengka, and Indramayu, City of Cirebon, Indonesia, with surveillance officer participants and contact tracer data manager, as many as 8. Data was collected by interviewing and using snowball sampling techniques between May 12 and 20, 2022. Data were analyzed using content analysis. Results: The initial data collection procedure involves obtaining data from various health facilities. Data recording was with SILACAK and the New All-Recorded application. Data analysis with descriptive epidemiology was reported to the head. Data quality was achieved with monitoring. Obstacles in data collection were rejection, community paradigm, and fear. The obstacles of the application are maintenance, not immediately updating that day, not entering at that time, sometimes it does not run smoothly, there are no tools for visualization, and data distribution per place not yet available. Conclusion: In COVID-19 surveillance procedures, from initial data collection, data recording, data analysis, data reporting, and data quality assurance, there are obstacles to data collection in the community and to applications used for surveillance. The District Health Office must compile new procedures that include data management stages, epidemiological data analysis, and visualization.
OMS. COVID-19 Weekly Epidemiological Update. World Heal Organ. 2022;(August):1–33.
Ibrahim NK. Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications. J Infect Public Health. 2020;13:1630–8.
Nur Aisyah D, Lokopessy AF, Naman M, Diva H, Manikam L, Adisasmito W, et al. The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study. Interact J Med Res. 2023;12:e41308.
Polak FF, Sumampouw OJ, Pinontoan OR. Evaluation of the Implementation of Surveillance for Corona Virus Disease 2019 at Sam Ratulangi International Airport, Manado in 2020. J Public Heal Community Med. 2020;1(3):55–61.
Sidjabat FN, Arthameivia RE. Evaluation of COVID-19 surveillance performance in The UPTD Puskesmas (Primary Public Healthcare) Pare, Kediri Regency. J Heal Epidemiol Commun Dis. 2021;7(1):1–9.
Heriana C, Faridah MA, Rana S. Evaluation of the COVID-19 Surveillance Indicators at The Peak of The First Wave in January-February 2021 in a District of West Java Province, Indonesia. In: Iyus Yosep, editor. Nursing Symposium, Faculty of Nursing Padjadjaran University. Bandung: Padjadjaran University; 2021. p. 128.
Hardhantyo M, Djasri H, Nursetyo AA, Yulianti A, Adipradipta BR, Hawley W, et al. Quality of National Disease Surveillance Reporting before and during COVID-19: A Mixed-Method Study in Indonesia. Int J Environ Res Public Health. 2022;19(5).
Oliveira G, Grenha Teixeira J, Torres A, Morais C. An exploratory study on the emergency remote education experience of higher education students and teachers during the COVID"19 pandemic. Br J Educ Technol. 2021;52(4):1357–76.
Roberts RE. Qualitative Interview Questions: Guidance for Novice Researchers. Qual Rep. 2020;25(9).
McNabb SJN, Chungong S, Ryan M, Wuhib T, Nsubuga P, Alemu W, et al. Conceptual framework of public health surveillance and action and itsapplication in health sector reform. BMC Public Health. 2002;2:1–9.
Vaismoradi M, Snelgrove S. Theme in qualitative content analysis and thematic analysis. Forum Qual Sozialforsch. 2019;20(3).
Maddah N, Verma A, Almashmoum M, Ainsworth J. Effectiveness of Public Health Digital Surveillance Systems for Infectious Disease Prevention and Control at Mass Gatherings: Systematic Review. J Med Internet Res. 2023;25:e44649.
Ng TC, Cheng HY, Chang HH, Liu CC, Yang CC, Jian SW, et al. Comparison of Estimated Effectiveness of Case-Based and Population-Based Interventions on COVID-19 Containment in Taiwan. JAMA Intern Med. 2021;1–9.
Yalaman A, Basbug G, Elgin C, Galvani AP. Cross-country evidence on the association between contact tracing and COVID-19 case fatality rates. Sci Rep. 2021;11(1):1–6.
Sitompul TH, Meilani P, Salsabila S, Hariwangi LL. SILACAK: Bagaimana Penggunaan Aplikasi Pelacakan Kasus Kontak Erat COVID-19 di Indonesia. Indones Heal Inf Manag J. 2021;9(2):127–37.
Jenniskens K, Bootsma MCJ, Damen JAAG, Oerbekke MS, Vernooij RWM, Spijker R, et al. Effectiveness of contact tracing apps for SARS-CoV-2: a rapid systematic review. BMJ Open. 2021;11:50519.
Mbunge E. Integrating emerging technologies into COVID-19 contact tracing: Opportunities, challenges and pitfalls. Diabetes Metab Syndr Clin Res Rev. 2020;14(6):1631–6.
Velicia-Martin F, Cabrera-Sanchez JP, Gil-Cordero E, Palos-Sanchez PR. Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model. PeerJ Comput Sci. 2021;7(December 2019):1–20.
Walrave M, Waeterloos C, Ponnet K. Adoption of a contact tracing app for containing COVID-19: A health belief model approach. JMIR Public Heal Surveill. 2020;6(3):1–10.
Quinn E, Hsiao KH, Maitland-Scott I, Gomez M, Baysari MT, Najjar Z, et al. Web-based apps for responding to acute infectious disease outbreaks in the community: Systematic review. JMIR Public Heal Surveill. 2021;7(4):1–14.
Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020;20(5):533–4.
Rodríguez P, Graña S, Alvarez-León EE, Battaglini M, Darias FJ, Hernán MA, et al. A population-based controlled experiment assessing the epidemiological impact of digital contact tracing. Nat Commun. 2021;12(1):1–6.
Bright D, Brown G, Roberts RJ, Cottrell S, Gould A, Jesurasa A, et al. COVID-19 contact tracing: The Welsh experience. Public Heal Pract. 2020;1(July):100035.
Heriana C, Said FBM. Evaluation of functionally and usability case tracing information system (Silacak App) Covid-19 in Indonesia. In: AIP Conference Proceedings. AIP Publishing; 2023.
Negari N, Eryando T. Silacak application is a useful media for COVID- 19 recording and reporting. This application is easy to learn but it still needs improvement and development on several sides. J od BIKFOKES. 2021;1(3).
Fazaeli S, Khodaveisi T, Vakilzadeh AK, Yousefi M, Ariafar A, Shokoohizadeh M, et al. Development, Implementation, and User Evaluation of COVID-19 Dashboard in a Third-Level Hospital in Iran. Appl Clin Inform. 2021;12(5):1091–100.
Cheng CKY, Ip DKM, Cowling BJ, Ho LM, Leung GM, Lau EHY. Digital dashboard design using multiple data streams for disease surveillance with influenza surveillance as an example. J Med Internet Res. 2011;13(4).
- Every manuscript submitted to must observe the policy and terms set by the Jurnal Berkala Epidemiologi
- Publication rights to manuscript content published by the Jurnal Berkala Epidemiologi is owned by the journal with the consent and approval of the author(s) concerned. (download copyright agreement)
- Complete texts of electronically published manuscripts can be accessed free of charge if used for educational and research purposes according to copyright regulations.
JBE by Universitas Airlangga is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.