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Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal

BACKGROUND: Timely tracking of health outcomes is difficult in low- and middle-income countries without comprehensive vital registration systems. Community health workers (CHWs) are increasingly collecting vital events data while delivering routine care in low-resource settings. It is necessary, how...

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Autores principales: Choudhury, Nandini, Tiwari, Aparna, Wu, Wan-Ju, Bhandari, Ved, Bhatta, Laxman, Bogati, Bhawana, Citrin, David, Halliday, Scott, Khadka, Sonu, Marasini, Nutan, Pandey, Sachit, Ballard, Madeleine, Rayamazi, Hari Jung, Sapkota, Sabitri, Schwarz, Ryan, Sullivan, Lisa, Maru, Duncan, Thapa, Aradhana, Maru, Sheela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327361/
https://www.ncbi.nlm.nih.gov/pubmed/35897038
http://dx.doi.org/10.1186/s12963-022-00293-4
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author Choudhury, Nandini
Tiwari, Aparna
Wu, Wan-Ju
Bhandari, Ved
Bhatta, Laxman
Bogati, Bhawana
Citrin, David
Halliday, Scott
Khadka, Sonu
Marasini, Nutan
Pandey, Sachit
Ballard, Madeleine
Rayamazi, Hari Jung
Sapkota, Sabitri
Schwarz, Ryan
Sullivan, Lisa
Maru, Duncan
Thapa, Aradhana
Maru, Sheela
author_facet Choudhury, Nandini
Tiwari, Aparna
Wu, Wan-Ju
Bhandari, Ved
Bhatta, Laxman
Bogati, Bhawana
Citrin, David
Halliday, Scott
Khadka, Sonu
Marasini, Nutan
Pandey, Sachit
Ballard, Madeleine
Rayamazi, Hari Jung
Sapkota, Sabitri
Schwarz, Ryan
Sullivan, Lisa
Maru, Duncan
Thapa, Aradhana
Maru, Sheela
author_sort Choudhury, Nandini
collection PubMed
description BACKGROUND: Timely tracking of health outcomes is difficult in low- and middle-income countries without comprehensive vital registration systems. Community health workers (CHWs) are increasingly collecting vital events data while delivering routine care in low-resource settings. It is necessary, however, to assess whether routine programmatic data collected by CHWs are sufficiently reliable for timely monitoring and evaluation of health interventions. To study this, we assessed the consistency of vital events data recorded by CHWs using two methodologies—routine data collected while delivering an integrated maternal and child health intervention, and data from a birth history census approach at the same site in rural Nepal. METHODS: We linked individual records from routine programmatic data from June 2017 to May 2018 with those from census data, both collected by CHWs at the same site using a mobile platform. We categorized each vital event over a one-year period as ‘recorded by both methods,’ ‘census alone,’ or ‘programmatic alone.’ We further assessed whether vital events data recorded by both methods were classified consistently. RESULTS: From June 2017 to May 2018, we identified a total of 713 unique births collectively from the census (birth history) and programmatic maternal ‘post-delivery’ data. Three-fourths of these births (n = 526) were identified by both. There was high consistency in birth location classification among the 526 births identified by both methods. Upon including additional programmatic ‘child registry’ data, we identified 746 total births, of which 572 births were identified by both census and programmatic methods. Programmatic data (maternal ‘post-delivery’ and ‘child registry’ combined) captured more births than census data (723 vs. 595). Both methods consistently classified most infants as ‘living,’ while infant deaths and stillbirths were largely classified inconsistently or recorded by only one method. Programmatic data identified five infant deaths and five stillbirths not recorded in census data. CONCLUSIONS: Our findings suggest that data collected by CHWs from routinely tracking pregnancies, births, and deaths are promising for timely program monitoring and evaluation. Despite some limitations, programmatic data may be more sensitive in detecting vital events than cross-sectional census surveys asking women to recall these events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-022-00293-4.
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spelling pubmed-93273612022-07-28 Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal Choudhury, Nandini Tiwari, Aparna Wu, Wan-Ju Bhandari, Ved Bhatta, Laxman Bogati, Bhawana Citrin, David Halliday, Scott Khadka, Sonu Marasini, Nutan Pandey, Sachit Ballard, Madeleine Rayamazi, Hari Jung Sapkota, Sabitri Schwarz, Ryan Sullivan, Lisa Maru, Duncan Thapa, Aradhana Maru, Sheela Popul Health Metr Research BACKGROUND: Timely tracking of health outcomes is difficult in low- and middle-income countries without comprehensive vital registration systems. Community health workers (CHWs) are increasingly collecting vital events data while delivering routine care in low-resource settings. It is necessary, however, to assess whether routine programmatic data collected by CHWs are sufficiently reliable for timely monitoring and evaluation of health interventions. To study this, we assessed the consistency of vital events data recorded by CHWs using two methodologies—routine data collected while delivering an integrated maternal and child health intervention, and data from a birth history census approach at the same site in rural Nepal. METHODS: We linked individual records from routine programmatic data from June 2017 to May 2018 with those from census data, both collected by CHWs at the same site using a mobile platform. We categorized each vital event over a one-year period as ‘recorded by both methods,’ ‘census alone,’ or ‘programmatic alone.’ We further assessed whether vital events data recorded by both methods were classified consistently. RESULTS: From June 2017 to May 2018, we identified a total of 713 unique births collectively from the census (birth history) and programmatic maternal ‘post-delivery’ data. Three-fourths of these births (n = 526) were identified by both. There was high consistency in birth location classification among the 526 births identified by both methods. Upon including additional programmatic ‘child registry’ data, we identified 746 total births, of which 572 births were identified by both census and programmatic methods. Programmatic data (maternal ‘post-delivery’ and ‘child registry’ combined) captured more births than census data (723 vs. 595). Both methods consistently classified most infants as ‘living,’ while infant deaths and stillbirths were largely classified inconsistently or recorded by only one method. Programmatic data identified five infant deaths and five stillbirths not recorded in census data. CONCLUSIONS: Our findings suggest that data collected by CHWs from routinely tracking pregnancies, births, and deaths are promising for timely program monitoring and evaluation. Despite some limitations, programmatic data may be more sensitive in detecting vital events than cross-sectional census surveys asking women to recall these events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-022-00293-4. BioMed Central 2022-07-27 /pmc/articles/PMC9327361/ /pubmed/35897038 http://dx.doi.org/10.1186/s12963-022-00293-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Choudhury, Nandini
Tiwari, Aparna
Wu, Wan-Ju
Bhandari, Ved
Bhatta, Laxman
Bogati, Bhawana
Citrin, David
Halliday, Scott
Khadka, Sonu
Marasini, Nutan
Pandey, Sachit
Ballard, Madeleine
Rayamazi, Hari Jung
Sapkota, Sabitri
Schwarz, Ryan
Sullivan, Lisa
Maru, Duncan
Thapa, Aradhana
Maru, Sheela
Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal
title Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal
title_full Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal
title_fullStr Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal
title_full_unstemmed Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal
title_short Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal
title_sort comparing two data collection methods to track vital events in maternal and child health via community health workers in rural nepal
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327361/
https://www.ncbi.nlm.nih.gov/pubmed/35897038
http://dx.doi.org/10.1186/s12963-022-00293-4
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