Cargando…
Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned
Sustainable birth defects surveillance systems provide countries with estimates of the prevalence of birth defects to guide prevention, care activities, and evaluate interventions. We used free and open-source software (Open Data Kit) to implement an electronic system to collect data for a hospital-...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335296/ https://www.ncbi.nlm.nih.gov/pubmed/35910484 http://dx.doi.org/10.1371/journal.pgph.0000662 |
_version_ | 1784759306291249152 |
---|---|
author | Kalibbala, Dennis Kakande, Ayoub Serunjogi, Robert Williamson, Dhelia Mumpe-Mwanja, Daniel Namale-Matovu, Joyce Valencia, Diana Nalwoga, Beatrice Namirembe, Christine Seyionga, Joan Nanfuka, Margaret Nakimuli, Sophia Achom, Margaret Okwero Mwambi, Kenneth Musoke, Philippa Barlow-Mosha, Linda |
author_facet | Kalibbala, Dennis Kakande, Ayoub Serunjogi, Robert Williamson, Dhelia Mumpe-Mwanja, Daniel Namale-Matovu, Joyce Valencia, Diana Nalwoga, Beatrice Namirembe, Christine Seyionga, Joan Nanfuka, Margaret Nakimuli, Sophia Achom, Margaret Okwero Mwambi, Kenneth Musoke, Philippa Barlow-Mosha, Linda |
author_sort | Kalibbala, Dennis |
collection | PubMed |
description | Sustainable birth defects surveillance systems provide countries with estimates of the prevalence of birth defects to guide prevention, care activities, and evaluate interventions. We used free and open-source software (Open Data Kit) to implement an electronic system to collect data for a hospital-based birth defects surveillance system at four major hospitals in Kampala, Uganda. We describe the establishment, successes, challenges, and lessons learned from using mobile tablets to capture data and photographs. After intensive training, surveillance midwives collected data using Android tablets with inbuilt logic checks; another surveillance midwife checked the quality of the data in real-time before data were securely uploaded onto a local server. Paper forms were used when needed as a backup for the electronic system. We experienced several challenges implementing the surveillance system, including forgotten passwords, unstable network, reduced tablet speed and freezing, loss of touch-screen sensitivity, decreased battery strength, and repetitive extensive retraining. We addressed these challenges by backing up and removing all photos from the tablet, uninstalling irrelevant applications to the study to increase storage space and speed, and monitoring and updating the system based mainly on feedback from the midwives. From August 2015 to December 2018, surveillance midwives documented information on 110,752 births at the participating hospitals. Of these, 110,573 (99.8%) were directly entered into the electronic data system and 179 (0.2%) were captured on paper forms. The use of mobile tablets for real-time data collection was successful in a hospital-based birth defects surveillance system in a resource-limited setting. Extensive training and follow-up can overcome challenges and are key to preparing staff for a successful data collection system. |
format | Online Article Text |
id | pubmed-9335296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93352962023-03-17 Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned Kalibbala, Dennis Kakande, Ayoub Serunjogi, Robert Williamson, Dhelia Mumpe-Mwanja, Daniel Namale-Matovu, Joyce Valencia, Diana Nalwoga, Beatrice Namirembe, Christine Seyionga, Joan Nanfuka, Margaret Nakimuli, Sophia Achom, Margaret Okwero Mwambi, Kenneth Musoke, Philippa Barlow-Mosha, Linda PLOS Glob Public Health Research Article Sustainable birth defects surveillance systems provide countries with estimates of the prevalence of birth defects to guide prevention, care activities, and evaluate interventions. We used free and open-source software (Open Data Kit) to implement an electronic system to collect data for a hospital-based birth defects surveillance system at four major hospitals in Kampala, Uganda. We describe the establishment, successes, challenges, and lessons learned from using mobile tablets to capture data and photographs. After intensive training, surveillance midwives collected data using Android tablets with inbuilt logic checks; another surveillance midwife checked the quality of the data in real-time before data were securely uploaded onto a local server. Paper forms were used when needed as a backup for the electronic system. We experienced several challenges implementing the surveillance system, including forgotten passwords, unstable network, reduced tablet speed and freezing, loss of touch-screen sensitivity, decreased battery strength, and repetitive extensive retraining. We addressed these challenges by backing up and removing all photos from the tablet, uninstalling irrelevant applications to the study to increase storage space and speed, and monitoring and updating the system based mainly on feedback from the midwives. From August 2015 to December 2018, surveillance midwives documented information on 110,752 births at the participating hospitals. Of these, 110,573 (99.8%) were directly entered into the electronic data system and 179 (0.2%) were captured on paper forms. The use of mobile tablets for real-time data collection was successful in a hospital-based birth defects surveillance system in a resource-limited setting. Extensive training and follow-up can overcome challenges and are key to preparing staff for a successful data collection system. Public Library of Science 2022-06-24 /pmc/articles/PMC9335296/ /pubmed/35910484 http://dx.doi.org/10.1371/journal.pgph.0000662 Text en © 2022 Kalibbala et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kalibbala, Dennis Kakande, Ayoub Serunjogi, Robert Williamson, Dhelia Mumpe-Mwanja, Daniel Namale-Matovu, Joyce Valencia, Diana Nalwoga, Beatrice Namirembe, Christine Seyionga, Joan Nanfuka, Margaret Nakimuli, Sophia Achom, Margaret Okwero Mwambi, Kenneth Musoke, Philippa Barlow-Mosha, Linda Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned |
title | Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned |
title_full | Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned |
title_fullStr | Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned |
title_full_unstemmed | Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned |
title_short | Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned |
title_sort | mobile tablets for real-time data collection for hospital-based birth defects surveillance in kampala, uganda: lessons learned |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335296/ https://www.ncbi.nlm.nih.gov/pubmed/35910484 http://dx.doi.org/10.1371/journal.pgph.0000662 |
work_keys_str_mv | AT kalibbaladennis mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT kakandeayoub mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT serunjogirobert mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT williamsondhelia mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT mumpemwanjadaniel mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT namalematovujoyce mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT valenciadiana mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT nalwogabeatrice mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT namirembechristine mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT seyiongajoan mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT nanfukamargaret mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT nakimulisophia mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT achommargaretokwero mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT mwambikenneth mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT musokephilippa mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned AT barlowmoshalinda mobiletabletsforrealtimedatacollectionforhospitalbasedbirthdefectssurveillanceinkampalaugandalessonslearned |