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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.
Afiliação
  • Kalibbala D; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Kakande A; Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
  • Serunjogi R; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Williamson D; US Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
  • Mumpe-Mwanja D; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Namale-Matovu J; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Valencia D; US Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
  • Nalwoga B; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Namirembe C; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Seyionga J; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Nanfuka M; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Nakimuli S; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Achom MO; US Centers for Disease Control and Prevention, Kampala, Uganda.
  • Mwambi K; US Centers for Disease Control and Prevention, Kampala, Uganda.
  • Musoke P; Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.
  • Barlow-Mosha L; Makerere University College of Health Sciences, Kampala, Uganda.
PLOS Glob Public Health ; 2(6)2022 Jun 24.
Article em En | MEDLINE | ID: mdl-35910484
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies / Screening_studies Idioma: En Revista: PLOS Glob Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Uganda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies / Screening_studies Idioma: En Revista: PLOS Glob Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Uganda