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Timeliness of reporting process in the national routine health information system: The case of 19-year experience of Field Health Services Information System in Palawan, the Philippines

INTRODUCTION: Routine health information system (RHIS) has been repeatedly updated to provide quality information. However, its timeliness has rarely been tracked. This study investigated the reporting status and the timeliness of quarterly reports of the national RHIS in the Philippines, based on i...

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Detalles Bibliográficos
Autores principales: Murai, Shinsuke, Ventura, Ray Justin C., Gaite, Julita T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880878/
https://www.ncbi.nlm.nih.gov/pubmed/35213673
http://dx.doi.org/10.1371/journal.pone.0264681
Descripción
Sumario:INTRODUCTION: Routine health information system (RHIS) has been repeatedly updated to provide quality information. However, its timeliness has rarely been tracked. This study investigated the reporting status and the timeliness of quarterly reports of the national RHIS in the Philippines, based on its 19 years-operation in Palawan. METHODS: We analyzed the timeliness of 94.7% (1568/1656) of the quarterly reports that we obtained the date of receipt submitted by 22 health centers in Palawan from 1996 to 2014. The RHIS update in 2008 increased the number of reporting items and extended the submission due date since 2009 while computerized 15 health centers since 2011. We performed Fisher’s exact test to examine changing the proportion of timely reports and multiple comparisons with permutation tests for changing the mean of the quarterly median lead times, median delays and interquartile ranges (IQR), for four periods of different operational requirements in the RHIS. RESULTS: The update increased the timely reports from 6.7% (70/1045) to 22.4% (117/523) (p<0.001). The delay remained stable from 14.2 days to 16.1 days (p = 0.654). However, the IQR widened 2.31 times (p = 0.004) compared to 15.7. Despite the increased burden, the continued manual data processing decreased the delay by 7.1 days (p = 0.023) and remained the IQR stable at 1.19 times (p = 0.670), while 15 health centers were computerized, it increased the delay by 6.4 days (p = 0.037) and widened the IQR by 2.87 times (p = 0). CONCLUSIONS: More attention must be paid to controlling the timeliness of RHIS when we introduce new interventions and perform daily management. Extending the due date increased timely reports. However, introducing unfamiliar tasks increased delay and uncertainty in timeliness. In a low-resource setting, an effective intervention needs to consider modest operating procedure changes that extend the existing routines to which the staff in charge has already accustomed.