Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned Article Swipe
Dennis Kalibbala
,
Ayoub Kakande
,
Robert Serunjogi
,
Dhelia Williamson
,
Daniel Mumpe‐Mwanja
,
Joyce Namale-Matovu
,
Diana Valencia
,
Beatrice Nalwoga
,
Christine Namirembe
,
Joan Seyionga
,
Margaret Nanfuka
,
Sophia Nakimuli
,
Margaret Okwero Achom
,
Kenneth Mwambi
,
Philippa Musoke
,
Linda Barlow‐Mosha
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pgph.0000662
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pgph.0000662
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pgph.0000662
- https://journals.plos.org/globalpublichealth/article/file?id=10.1371/journal.pgph.0000662&type=printable
- OA Status
- gold
- Cited By
- 9
- References
- 7
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283395279
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283395279Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pgph.0000662Digital Object Identifier
- Title
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Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learnedWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-24Full publication date if available
- Authors
-
Dennis Kalibbala, Ayoub Kakande, Robert Serunjogi, Dhelia Williamson, Daniel Mumpe‐Mwanja, Joyce Namale-Matovu, Diana Valencia, Beatrice Nalwoga, Christine Namirembe, Joan Seyionga, Margaret Nanfuka, Sophia Nakimuli, Margaret Okwero Achom, Kenneth Mwambi, Philippa Musoke, Linda Barlow‐MoshaList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pgph.0000662Publisher landing page
- PDF URL
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https://journals.plos.org/globalpublichealth/article/file?id=10.1371/journal.pgph.0000662&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://journals.plos.org/globalpublichealth/article/file?id=10.1371/journal.pgph.0000662&type=printableDirect OA link when available
- Concepts
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Backup, Upload, Electronic data, Data collection, Android (operating system), Mobile device, Medical emergency, Computer science, Retraining, Medicine, Database, World Wide Web, Business, Operating system, International trade, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 2, 2023: 4Per-year citation counts (last 5 years)
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7Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.collected | 77 |
| abstract_inverted_index.countries | 6 |
| abstract_inverted_index.decreased | 141 |
| abstract_inverted_index.estimates | 8 |
| abstract_inverted_index.extensive | 146 |
| abstract_inverted_index.follow-up | 249 |
| abstract_inverted_index.forgotten | 128 |
| abstract_inverted_index.freezing, | 136 |
| abstract_inverted_index.hospitals | 50 |
| abstract_inverted_index.implement | 33 |
| abstract_inverted_index.including | 127 |
| abstract_inverted_index.intensive | 73 |
| abstract_inverted_index.midwives. | 186 |
| abstract_inverted_index.preparing | 257 |
| abstract_inverted_index.real-time | 96, 230 |
| abstract_inverted_index.strength, | 143 |
| abstract_inverted_index.training, | 74 |
| abstract_inverted_index.challenges | 122, 151, 252 |
| abstract_inverted_index.collection | 232, 263 |
| abstract_inverted_index.documented | 195 |
| abstract_inverted_index.electronic | 35, 117, 213 |
| abstract_inverted_index.hospitals. | 203 |
| abstract_inverted_index.irrelevant | 163 |
| abstract_inverted_index.monitoring | 175 |
| abstract_inverted_index.passwords, | 129 |
| abstract_inverted_index.prevalence | 11 |
| abstract_inverted_index.repetitive | 145 |
| abstract_inverted_index.successes, | 58 |
| abstract_inverted_index.successful | 234, 261 |
| abstract_inverted_index.Sustainable | 0 |
| abstract_inverted_index.activities, | 19 |
| abstract_inverted_index.challenges, | 59 |
| abstract_inverted_index.experienced | 120 |
| abstract_inverted_index.information | 196 |
| abstract_inverted_index.open-source | 27 |
| abstract_inverted_index.prevention, | 17 |
| abstract_inverted_index.retraining. | 147 |
| abstract_inverted_index.applications | 164 |
| abstract_inverted_index.implementing | 123 |
| abstract_inverted_index.photographs. | 71 |
| abstract_inverted_index.sensitivity, | 140 |
| abstract_inverted_index.surveillance | 3, 45, 75, 87, 125, 193, 240 |
| abstract_inverted_index.touch-screen | 139 |
| abstract_inverted_index.uninstalling | 162 |
| abstract_inverted_index.participating | 202 |
| abstract_inverted_index.establishment, | 57 |
| abstract_inverted_index.hospital-based | 42, 237 |
| abstract_inverted_index.interventions. | 22 |
| abstract_inverted_index.resource-limited | 244 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5045174276, https://openalex.org/A5036479205, https://openalex.org/A5064435111, https://openalex.org/A5028603786, https://openalex.org/A5102977645, https://openalex.org/A5019866990, https://openalex.org/A5047766505, https://openalex.org/A5038842195, https://openalex.org/A5070642973, https://openalex.org/A5008927822, https://openalex.org/A5017586566, https://openalex.org/A5042326050, https://openalex.org/A5057946567, https://openalex.org/A5076420442, https://openalex.org/A5032246769, https://openalex.org/A5016383123 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I1289490764, https://openalex.org/I4210102376, https://openalex.org/I4210121676, https://openalex.org/I72227227, https://openalex.org/I91369620 |
| citation_normalized_percentile.value | 0.92155228 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |