Better data for better outcomes: the importance of process mapping and management in CRVS systems

Abstract Background Despite attempts to apply standard methods proven to work in high-income nations, nearly all civil registration and vital statistics (CRVS) systems in low- and middle-income countries are failing to achieve adequate levels of registration completeness or produce the high-quality...

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Main Authors: Daniel Cobos Muñoz, Don de Savigny, Renee Sorchik, Khin Sandar Bo, John Hart, Viola Kwa, Xavier Ngomituje, Nicola Richards, Alan D. Lopez
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12916-020-01522-z
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spelling doaj-c8f50a9e40a047609367681873c5e7842020-11-25T02:57:58ZengBMCBMC Medicine1741-70152020-03-0118111010.1186/s12916-020-01522-zBetter data for better outcomes: the importance of process mapping and management in CRVS systemsDaniel Cobos Muñoz0Don de Savigny1Renee Sorchik2Khin Sandar Bo3John Hart4Viola Kwa5Xavier Ngomituje6Nicola Richards7Alan D. Lopez8Swiss Tropical and Public Health InstituteSwiss Tropical and Public Health InstituteMelbourne School of Population and Global Health, The University of MelbourneData for HealthMelbourne School of Population and Global Health, The University of MelbourneData for HealthNational Institute of Statistics of RwandaMelbourne School of Population and Global Health, The University of MelbourneMelbourne School of Population and Global Health, The University of MelbourneAbstract Background Despite attempts to apply standard methods proven to work in high-income nations, nearly all civil registration and vital statistics (CRVS) systems in low- and middle-income countries are failing to achieve adequate levels of registration completeness or produce the high-quality vital statistics needed to support better health outcomes and monitor progress towards the 2030 Sustainable Development Goals. This suggests that, rather than simple technical issues, these countries are facing additional or different systemic challenges, including duplication of roles and responsibilities, inefficient methods of data collection, and a reluctance to change. Applying process management Process management is a valuable tool that strengthens the production of vital statistics by providing a visualisation of data flow from start to finish. It helps identify gaps and bottlenecks in the process, allowing stakeholders to work collaboratively to find solutions and target interventions. As part of the Bloomberg Philanthropies Data for Health Initiative at the University of Melbourne, 16 countries were supported in mapping the varied processes required in registering a birth or death. Comparative analysis exposed several limitations in the design of CRVS systems that hinder their performance — from ‘passive’ systems, to overly complex and fragmented system design, through to poor collaboration and duplication of efforts. Conclusions The experiences from Myanmar, Papua New Guinea and Rwanda reported in this paper illustrate the benefits of process management to improve CRVS. While these three countries are at different stages of system development, each uniquely benefited. Process management is a useful tool for all CRVS systems, from the most rudimentary to the most developed. It can strengthen CRVS systems and improve the quality and completeness of vital statistics, resulting in more robust, reliable and timely vital statistics for health planning and better monitoring of the 2030 Sustainable Development Goal agenda.http://link.springer.com/article/10.1186/s12916-020-01522-zCause of deathCivil registration and vital statisticsMortalityMyanmarPapua New GuineaProcess management
collection DOAJ
language English
format Article
sources DOAJ
author Daniel Cobos Muñoz
Don de Savigny
Renee Sorchik
Khin Sandar Bo
John Hart
Viola Kwa
Xavier Ngomituje
Nicola Richards
Alan D. Lopez
spellingShingle Daniel Cobos Muñoz
Don de Savigny
Renee Sorchik
Khin Sandar Bo
John Hart
Viola Kwa
Xavier Ngomituje
Nicola Richards
Alan D. Lopez
Better data for better outcomes: the importance of process mapping and management in CRVS systems
BMC Medicine
Cause of death
Civil registration and vital statistics
Mortality
Myanmar
Papua New Guinea
Process management
author_facet Daniel Cobos Muñoz
Don de Savigny
Renee Sorchik
Khin Sandar Bo
John Hart
Viola Kwa
Xavier Ngomituje
Nicola Richards
Alan D. Lopez
author_sort Daniel Cobos Muñoz
title Better data for better outcomes: the importance of process mapping and management in CRVS systems
title_short Better data for better outcomes: the importance of process mapping and management in CRVS systems
title_full Better data for better outcomes: the importance of process mapping and management in CRVS systems
title_fullStr Better data for better outcomes: the importance of process mapping and management in CRVS systems
title_full_unstemmed Better data for better outcomes: the importance of process mapping and management in CRVS systems
title_sort better data for better outcomes: the importance of process mapping and management in crvs systems
publisher BMC
series BMC Medicine
issn 1741-7015
publishDate 2020-03-01
description Abstract Background Despite attempts to apply standard methods proven to work in high-income nations, nearly all civil registration and vital statistics (CRVS) systems in low- and middle-income countries are failing to achieve adequate levels of registration completeness or produce the high-quality vital statistics needed to support better health outcomes and monitor progress towards the 2030 Sustainable Development Goals. This suggests that, rather than simple technical issues, these countries are facing additional or different systemic challenges, including duplication of roles and responsibilities, inefficient methods of data collection, and a reluctance to change. Applying process management Process management is a valuable tool that strengthens the production of vital statistics by providing a visualisation of data flow from start to finish. It helps identify gaps and bottlenecks in the process, allowing stakeholders to work collaboratively to find solutions and target interventions. As part of the Bloomberg Philanthropies Data for Health Initiative at the University of Melbourne, 16 countries were supported in mapping the varied processes required in registering a birth or death. Comparative analysis exposed several limitations in the design of CRVS systems that hinder their performance — from ‘passive’ systems, to overly complex and fragmented system design, through to poor collaboration and duplication of efforts. Conclusions The experiences from Myanmar, Papua New Guinea and Rwanda reported in this paper illustrate the benefits of process management to improve CRVS. While these three countries are at different stages of system development, each uniquely benefited. Process management is a useful tool for all CRVS systems, from the most rudimentary to the most developed. It can strengthen CRVS systems and improve the quality and completeness of vital statistics, resulting in more robust, reliable and timely vital statistics for health planning and better monitoring of the 2030 Sustainable Development Goal agenda.
topic Cause of death
Civil registration and vital statistics
Mortality
Myanmar
Papua New Guinea
Process management
url http://link.springer.com/article/10.1186/s12916-020-01522-z
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