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dc.contributor.authorTurcotte-Tremblay, Anne-Marie
dc.contributor.authorLeerapan, Borwornsom
dc.contributor.authorAkweongo, Patricia
dc.contributor.authorAmponsah, Freddie
dc.contributor.authorAryal, Amit
dc.contributor.authorAsai, Daisuke
dc.contributor.authorAwoonor-Williams, John Koku
dc.contributor.authorAyele, Wondimu
dc.contributor.authorBauhoff, Sebastian
dc.contributor.authorDoubova, Svetlana V.
dc.contributor.authorGadeka, Dominic Dormenyo
dc.contributor.authorDulal, Mahesh
dc.contributor.authorGage, Anna
dc.contributor.authorGordon-Strachan, Georgiana
dc.contributor.authorHaile-Mariam, Damen
dc.contributor.authorJoseph, Jean Paul
dc.contributor.authorKaewkamjornchai, Phanuwich
dc.contributor.authorKapoor, Neena R.
dc.contributor.authorGelaw, Solomon Kassahun
dc.contributor.authorKim, Min Kyung
dc.contributor.authorKruk, Margaret E.
dc.contributor.authorKubota, Shogo
dc.contributor.authorMargozzini, Paula
dc.contributor.authorMehata, Suresh
dc.contributor.authorMthethwa, Londiwe
dc.contributor.authorNega, Adiam
dc.contributor.authorOh, Juhwan
dc.contributor.authorPark, Soo Kyung
dc.contributor.authorPassi-Solar, Alvaro
dc.contributor.authorCuevas, Ricardo Enrique Perez
dc.contributor.authorReddy, Tarylee
dc.contributor.authorRittiphairoj, Thanitsara
dc.contributor.authorSapag, Jaime C.
dc.contributor.authorThermidor, Roody
dc.contributor.authorTlou, Boikhutso
dc.contributor.authorArsenault, Catherine
dc.date.accessioned2024-08-15T02:35:43Z
dc.date.available2024-08-15T02:35:43Z
dc.date.issued2023-01-31
dc.identifier.urihttps://resources.equityinitiative.org/handle/ei/645
dc.description.abstractCOVID-19 has prompted the use of readily available administrative data to track health system performance in times of crisis and to monitor disruptions in essential healthcare services. In this commentary we describe our experience working with these data and lessons learned across countries. Since April 2020, the Quality Evidence for Health System Transformation (QuEST) network has used administrative data and routine health information systems (RHIS) to assess health system performance during COVID-19 in Chile, Ethiopia, Ghana, Haiti, Lao People’s Democratic Republic, Mexico, Nepal, South Africa, Republic of Korea and Thailand. We compiled a large set of indicators related to common health conditions for the purpose of multicountry comparisons. The study compiled 73 indicators. A total of 43% of the indicators compiled pertained to reproductive, maternal, newborn and child health (RMNCH). Only 12% of the indicators were related to hypertension, diabetes or cancer care. We also found few indicators related to mental health services and outcomes within these data systems. Moreover, 72% of the indicators compiled were related to volume of services delivered, 18% to health outcomes and only 10% to the quality of processes of care. While several datasets were complete or near-complete censuses of all health facilities in the country, others excluded some facility types or population groups. In some countries, RHIS did not capture services delivered through non-visit or nonconventional care during COVID-19, such as telemedicine. We propose the following recommendations to improve the analysis of administrative and RHIS data to track health system performance in times of crisis: ensure the scope of health conditions covered is aligned with the burden of disease, increase the number of indicators related to quality of care and health outcomes; incorporate data on nonconventional care such as telehealth; continue improving data quality and expand reporting from private sector facilities; move towards collecting patient-level data through electronic health records to facilitate quality-of-care assessment and equity analyses; implement more resilient and standardized health information technologies; reduce delays and loosen restrictions for researchers to access the data; complement routine data with patient-reported data; and employ mixed methods to better understand the underlying causes of service disruptions.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 International license (CC BY 4.0).en_US
dc.subjectRoutine health information systemsen_US
dc.subjectHealth systemsen_US
dc.subjectQuality of careen_US
dc.subjectCOVID-19en_US
dc.titleTracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortiumen_US
dc.typeTexten_US
dcterms.accessRightsOpen accessen_US
dc.rights.holderCopyright (c) 2023 The Author(s)en_US
mods.genreJournalen_US


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