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Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda
BACKGROUND: Electronic data capturing has the potential to improve data quality and user-friendliness compared to manually processed, paper-based documentation systems. The MyChild system uses an innovative approach to process immunization data by employing detachable vouchers integrated into a vacc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191783/ https://www.ncbi.nlm.nih.gov/pubmed/32349755 http://dx.doi.org/10.1186/s12913-020-05242-1 |
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author | Äijö, Annika Schäffner, Ina Waiswa, Peter Kananura, Rornald Muhumuza Tessma, Mesfin Kassaye Hanson, Claudia |
author_facet | Äijö, Annika Schäffner, Ina Waiswa, Peter Kananura, Rornald Muhumuza Tessma, Mesfin Kassaye Hanson, Claudia |
author_sort | Äijö, Annika |
collection | PubMed |
description | BACKGROUND: Electronic data capturing has the potential to improve data quality and user-friendliness compared to manually processed, paper-based documentation systems. The MyChild system uses an innovative approach to process immunization data by employing detachable vouchers integrated into a vaccination booklet which are then scanned and converted into individual-level health data. The aim was to evaluate the MyChild data capturing system by assessing the proportion of correctly processed vouchers and to compare the user-friendliness in term of time spent on documentation and health worker experiences with the standard health information system at health facilities in Uganda. METHODS: We used a mixed method approach. Documented data were manually copied and compared to processed health records to calculate the proportion of correctly registered vouchers. To compare time spend on documentation we did a continuous observational time-motion study and analyzed data using a Mann-Whitney U test. Semi-structured interviews were conducted to assess health workers’ experiences and analyzed using conventional content analysis. Data was collected in 14 health facilities in two districts in Uganda using different systems. RESULTS: The MyChild system processed 97% (224 of 231) of the vouchers correctly. Recording using the MyChild system increased time spend on documentation of vaccination follow-up visits by 24 s compared to the standard system (02:25 vs. 02:01 min/child, Mann-Whitney U = 6293, n(1) = 115, n(2) = 151, p < 0.001 two-tailed, Z = − 3.861, r = 0.186). However, high variance between health centers using the same health information system suggests that documentation time differences can be attributed to other factors than the way information was processed. Health workers perceived both health management information systems as predominantly functional and easy to use, while the MyChild system achieved a higher level of satisfaction. CONCLUSIONS: The MyChild system electronically processes individual-level immunization data correctly without increasing significantly time spent on recording and is appreciated by health providers making it a potential solution to overcome shortcomings of present paper-based health information systems in health centers. |
format | Online Article Text |
id | pubmed-7191783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71917832020-05-04 Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda Äijö, Annika Schäffner, Ina Waiswa, Peter Kananura, Rornald Muhumuza Tessma, Mesfin Kassaye Hanson, Claudia BMC Health Serv Res Research Article BACKGROUND: Electronic data capturing has the potential to improve data quality and user-friendliness compared to manually processed, paper-based documentation systems. The MyChild system uses an innovative approach to process immunization data by employing detachable vouchers integrated into a vaccination booklet which are then scanned and converted into individual-level health data. The aim was to evaluate the MyChild data capturing system by assessing the proportion of correctly processed vouchers and to compare the user-friendliness in term of time spent on documentation and health worker experiences with the standard health information system at health facilities in Uganda. METHODS: We used a mixed method approach. Documented data were manually copied and compared to processed health records to calculate the proportion of correctly registered vouchers. To compare time spend on documentation we did a continuous observational time-motion study and analyzed data using a Mann-Whitney U test. Semi-structured interviews were conducted to assess health workers’ experiences and analyzed using conventional content analysis. Data was collected in 14 health facilities in two districts in Uganda using different systems. RESULTS: The MyChild system processed 97% (224 of 231) of the vouchers correctly. Recording using the MyChild system increased time spend on documentation of vaccination follow-up visits by 24 s compared to the standard system (02:25 vs. 02:01 min/child, Mann-Whitney U = 6293, n(1) = 115, n(2) = 151, p < 0.001 two-tailed, Z = − 3.861, r = 0.186). However, high variance between health centers using the same health information system suggests that documentation time differences can be attributed to other factors than the way information was processed. Health workers perceived both health management information systems as predominantly functional and easy to use, while the MyChild system achieved a higher level of satisfaction. CONCLUSIONS: The MyChild system electronically processes individual-level immunization data correctly without increasing significantly time spent on recording and is appreciated by health providers making it a potential solution to overcome shortcomings of present paper-based health information systems in health centers. BioMed Central 2020-04-29 /pmc/articles/PMC7191783/ /pubmed/32349755 http://dx.doi.org/10.1186/s12913-020-05242-1 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Äijö, Annika Schäffner, Ina Waiswa, Peter Kananura, Rornald Muhumuza Tessma, Mesfin Kassaye Hanson, Claudia Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda |
title | Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda |
title_full | Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda |
title_fullStr | Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda |
title_full_unstemmed | Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda |
title_short | Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda |
title_sort | assessment of a novel scanner-supported system for processing of child health and immunization data in uganda |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191783/ https://www.ncbi.nlm.nih.gov/pubmed/32349755 http://dx.doi.org/10.1186/s12913-020-05242-1 |
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