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

Hardhantyo, Muhammad; Djasri, Hanevi; Nursetyo, Aldilas Achmad; Yulianti, Andriani; Adipradipta, Bernadeta Rachela; Hawley, William A.; Mika, Jennifer; Praptiningsih, Catharina Y.; Mangiri, Amalya; Prasetyowati, Endang Burni; Brye, Laura

doi:10.3390/ijerph19052728

Cited by 9 publications

(7 citation statements)

References 38 publications

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“…The increases in both completeness and timeliness of reporting are likely due to the internet-based reporting and continuous reminders of reports submission through personal mobile phones as it has been reported from other countries [15,16]. In addition, the ongoing COVID-19 pandemic might have increased biostatisticians' and surveillance focal persons' alertness and understanding of the need for surveillance data reporting, thus the improvement in reporting completeness and timeliness as reported by similar studies [17,18]. However, our ndings may not fully support this since data before the pandemic are not available for us to understand the impact of the pandemic on surveillance data reporting.…”

Section: Discussionmentioning

confidence: 83%

Timeliness and completeness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020–2021

Nansikombi¹,

Kwesiga²,

Aceng³

et al. 2022

Preprint

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Introduction: Disease surveillance provides vital data for disease prevention and control programs. Incomplete and untimely data are common challenges in planning, monitoring, and evaluation of health sector performance, and health service delivery. Weekly surveillance data are sent from health facilities using mobile tracking (mTRAC) program, and synchronized into the District Health Information Software version 2 (DHIS2). The data are then merged into district, regional, and national level datasets. We described the completeness and timeliness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020–2021. Methods We abstracted data on completeness and timeliness of weekly reporting of epidemic-prone diseases from 146 districts of Uganda from the DHIS2.Timeliness is the proportion of all expected weekly reports that were submitted to DHIS2 by 12:00pm Monday of the following week. Completeness is the proportion of all expected weekly reports that were completely filled and submitted to DHIS2 by 12:00pm Wednesday of the following week. We determined the proportions and trends of completeness and timeliness of reporting at national level by year, health region, district, health facility level, and facility ownership. Results National average reporting timeliness and completeness was 44% and 70% in 2020, and 49% and 75% in 2021. Eight of the 15 health regions achieved the target for completeness of ≥ 80%; Lango attained the highest (93%) in 2020, and Karamoja attained 96% in 2021. None of the regions achieved the timeliness target of ≥ 80% in either 2020 or 2021. Kampala District had the lowest completeness (38% and 32% in 2020 and 2021, respectively) and the lowest timeliness (19% in both 2020 and 2021). Referral hospitals and private owned health facilities did not attain any of the targets, and had the poorest reporting rates throughout 2020 and 2021. Conclusion Weekly surveillance reporting on epidemic prone diseases improved modestly over time, but timeliness of reporting was poor. Further investigations to identify barriers to reporting timeliness for surveillance data are needed to address the variations in reporting.

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Section: Discussionmentioning

confidence: 83%

Timeliness and completeness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020–2021

Nansikombi¹,

Kwesiga²,

Aceng³

et al. 2022

Preprint

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“…Thus, this instrument has complied with the guidelines and can effectively measure its assigned variables [7,[11][12][13]. Further implementable study of this instrument is important in different districts and provinces since this study was instrument development stage and the result will generate broader validity and reliability of the instrument [14,15].…”

Section: Discussionmentioning

confidence: 99%

Performance of Evaluation Instrument for EWARS Activities in Tanah Bumbu District and Banjar District, Indonesia

Andiarsa¹,

Hidayat²

2023

Proceedings of the 1st International Conference for Health Research – BRIN (ICHR 2022)

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WHO suggests all countries including Indonesia to increase early awareness and respond quickly to cases that potentially spread. Indonesia has developed a system called Early Warning Alerts and responses (EWARS) to detect any threat or an indication of an infectious disease outbreak and reported weekly on a computer-based website. The cross-sectional study aimed to develop an instrument to systematically assess data management and reporting system for implementing the EWARS. The EWARS evaluation instrument was adopted and modified from the "Data Quality Assessment for Neglected Tropical Diseases: Guidelines for Implementation". The instrument was used to obtain primary and secondary data by interviewing EWARS officers at each level. The instrument contains several indicators, including reporting data management, timeliness and accuracy of reports, linked to national systems and readiness for new infectious diseases. The indicator assessed value using Likert scale and visualized onto spider graph chart. The instrument's effectiveness can be seen from the ability of the instrument to assess programs that are running following applicable guidelines and SOPs. There was a management gap between Tanah Bumbu District and Banjar District. The results of the instrumented assessment in the epidemiological week show that the data management activities and EWARS reporting system from Banjar District appear to be more organized and systematic. The instrument with good performance was used by program managers who carried out according to the established EWARS guidelines (above the average of 0.6). The low performance of the instrument in several areas was caused by officers who did not implement the program according to the guidelines.

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“…In 2020, almost half of the regions did not achieve the 80% timeliness target. This was likely because of task shifting during response to the COVID-19 pandemic during this time; various health workers including medical data personnel were assigned other duties of active case nding and contact tracing and left the data departments understaffed thus affecting the timeliness of reporting [14]. Task shifting has been identi ed as an effective strategy in times of human resource scarcity.…”

Section: Discussionmentioning

confidence: 99%

Timeliness and completeness of monthly disease surveillance data reporting, Uganda, 2020–2021

Zavuga¹,

Migisha²,

Gonahasa³

et al. 2023

Preprint

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Background Timely and complete reporting of routine public health information about diseases and public health events are important aspects of a robust surveillance system. Although data on the completeness and timeliness of monthly surveillance data are collected in the District Health Information System-2 (DHIS2), they have not been routinely analysed. For this study, we assessed completeness and timeliness of monthly outpatient department (OPD) data from January 2020 to December 2022.Methods We used DHIS2 data from all 15 regions and 146 districts of Uganda from January 2020─December 2021. Completeness was defined as the number of submitted reports divided by the number of expected reports from the same health facility, district, and region. Timeliness was defined as the number of reports submitted by the deadline (15th day of the following month) divided by reports received. Health facilities, districts, and regions with completeness or timeliness < 80% were regarded as having submitted incomplete or untimely reports.Results Overall, there was good general performance with the median completeness of OPD reports being high in 2020 (99.5%; IQR 97.8–100%) and 2021 (100%; IQR 98.7–100%), as was the median timeliness (2020; 82.8%, IQR 74.6–91.8%; 2021, 94.9%, IQR 86.5–99.1%). In terms of regions, no region reported below the 80% OPD completeness target; Kampala Region was the only region that consistently failed to reach ≥ 80% OPD timeliness (2020: 44%; 2021: 65%). Nakasongola was the only district that consistently performed poorly in the submission of timely reports in both years (2020:54.4%, 2021:58.3%). National referral hospitals consistently failed to meet the timeliness target in both years (2020:47.2%; 2021:74.1).Conclusion There was an overall good performance in the submission of complete and timely monthly OPD reports in both 2020 and 2021 in the DHIS2 across most districts and regions in Uganda. There is a need to strengthen the good reporting practices exhibited and offer support to regions, districts, and health facilities with timeliness challenges.

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

Cited by 9 publications

References 38 publications

Timeliness and completeness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020–2021

Timeliness and completeness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020–2021

Performance of Evaluation Instrument for EWARS Activities in Tanah Bumbu District and Banjar District, Indonesia

Timeliness and completeness of monthly disease surveillance data reporting, Uganda, 2020–2021

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