Tracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortium

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dc.article.number14
dc.catalogadorcrc
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 K.
dc.contributor.authorAyele, Wondimu
dc.contributor.authorBauhoff, Sebastian
dc.contributor.authorDoubova, Svetlana V.
dc.contributor.authorGadeka, Dominic D.
dc.contributor.authorDulal, Mahesh
dc.contributor.authorGage, Anna
dc.contributor.authorGordon-Strachan, Georgiana
dc.contributor.authorHaile-Mariam, Damen
dc.contributor.authorJoseph, Jean P.
dc.contributor.authorKaewkamjornchai, Phanuwich
dc.contributor.authorKapoor, Neena R.
dc.contributor.authorGelaw, Solomon K.
dc.contributor.authorKim, Min K.
dc.contributor.authorKruk, Margaret E.
dc.contributor.authorKubota, Shogo
dc.contributor.authorMargozzini Maira, Paula
dc.contributor.authorMehata, Suresh
dc.contributor.authorMthethwa, Londiwe
dc.contributor.authorNega, Adiam
dc.contributor.authorOh, Juhwan
dc.contributor.authorPark, Soo K.
dc.contributor.authorPassi-Solar, Alvaro
dc.contributor.authorPerez Cuevas, Ricardo E.
dc.contributor.authorReddy, Tarylee
dc.contributor.authorRittiphairoj, Thanitsara
dc.contributor.authorSapag Muñoz de la Peña, Jaime
dc.contributor.authorThermidor, Roody
dc.contributor.authorTlou, Boikhutso
dc.contributor.authorArsenault, Catherine
dc.date.accessioned2023-03-24T13:28:01Z
dc.date.available2023-03-24T13:28:01Z
dc.date.issued2023
dc.date.updated2023-02-05T01:02:10Z
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.
dc.fechaingreso.objetodigital2023-03-24
dc.fuente.origenAutoarchivo
dc.identifier.citationTurcotte-Tremblay, AM., Leerapan, B., Akweongo, P. et al. Tracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortium. Health Res Policy Sys 21, 14 (2023). https://doi.org/10.1186/s12961-022-00956-6
dc.identifier.doi10.1186/s12961-022-00956-6
dc.identifier.issn1478-4505
dc.identifier.urihttps://doi.org/10.1186/s12961-022-00956-6
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/66638
dc.identifier.wosidWOS:000940785900001
dc.information.autorucEscuela de Medicina ; Sapag Muñoz de la Peña, Jaime ; s/i ; 3511
dc.information.autorucEscuela de Medicina ; Margozzini Maira, Paula ; 0000-0002-3919-0070 ; 63265
dc.issue.numero1
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final8
dc.pagina.inicio1
dc.revistaHealth Research Policy and Systems volume
dc.rightsacceso abierto
dc.rights.holderThe Author(s)
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectRoutine health information systems
dc.subjectHealth systems
dc.subjectQuality of care
dc.subjectCOVID-19
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleTracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortium
dc.typeartículo
dc.volumen21
sipa.codpersvinculados3511
sipa.codpersvinculados63265
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