Quality of National Disease Surveillance Reporting before and during COVID-19: A Mixed-Method Study in Indonesia

Muhammad Hardhantyo, Hanevi Djasri, Aldilas Achmad Nursetyo, Andriani Yulianti, Bernadeta Rachela Adipradipta, William Hawley, Jennifer Mika, Catharina Yekti Praptiningsih, Amalya Mangiri, Endang Burni Prasetyowati and Laura Brye
Additional contact information
Muhammad Hardhantyo: Center for Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Hanevi Djasri: Center for Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Aldilas Achmad Nursetyo: Center for Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Andriani Yulianti: Center for Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Bernadeta Rachela Adipradipta: Center for Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
William Hawley: Centers for Disease Control and Prevention, Division of Global Health Protection, Atlanta, GA 30329, USA
Jennifer Mika: Centers for Disease Control and Prevention, Division of Global Health Protection, Atlanta, GA 30329, USA
Catharina Yekti Praptiningsih: Centers for Disease Control and Prevention, Division of Global Health Protection, Atlanta, GA 30329, USA
Amalya Mangiri: Centers for Disease Control and Prevention, Division of Global Health Protection, Atlanta, GA 30329, USA
Endang Burni Prasetyowati: Directorate of Surveillance and Health Quarantine, Ministry of Health, Jakarta 12950, Indonesia
Laura Brye: Project HOPE, Bethesda, MD 20814, USA

IJERPH, 2022, vol. 19, issue 5, 1-15

Abstract: Background: Global COVID-19 outbreaks in early 2020 have burdened health workers, among them surveillance workers who have the responsibility to undertake routine disease surveillance activities. The aim of this study was to describe the quality of the implementation of Indonesia’s Early Warning and Response Alert System (EWARS) for disease surveillance and to measure the burden of disease surveillance reporting quality before and during the COVID-19 epidemic in Indonesia. Methods: A mixed-method approach was used. A total of 38 informants from regional health offices participated in Focus Group Discussion (FGD) and In-Depth Interview (IDI) for informants from Ministry of Health. The FGD and IDI were conducted using online video communication. Yearly completeness and timeliness of reporting of 34 provinces were collected from the application. Qualitative data were analyzed thematically, and quantitative data were analyzed descriptively. Results: Major implementation gaps were found in poorly distributed human resources and regional infrastructure inequity. National reporting from 2017–2019 showed an increasing trend of completeness (55%, 64%, and 75%, respectively) and timeliness (55%, 64%, and 75%, respectively). However, the quality of the reporting dropped to 53% and 34% in 2020 concomitant with the SARS-CoV2 epidemic. Conclusions: Report completeness and timeliness are likely related to regional infrastructure inequity and the COVID-19 epidemic. It is recommended to increase report capacities with an automatic EWARS application linked systems in hospitals and laboratories.

Keywords: COVID-19; public health measures; health care system; disease burden; public health resources (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/5/2728/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/5/2728/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:5:p:2728-:d:759575

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().