Electronic data collection for multi-country, hospital-based, clinical observation of maternal and newborn care: EN-BIRTH study experiences
Autor: | Shafiqul Ameen, Georgia R Gore-Langton, Ahmed Ehsanur Rahman, Nahya Salim, Qazi Sadeq-ur Rahman, Vladimir S. Gordeev, Omkar Basnet, Dorothy Boggs, Sojib Bin Zaman, Kizito Shirima, Nisha Rana, Harriet Ruysen, Stefanie Kong, Louise T Day, Tazeen Tahsina, Shams El Arifeen, Tanvir Hossain, Joy E Lawn |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Data management
Observation Maternal Tanzania lcsh:Gynecology and obstetrics Electronic data collection tools Documentation Nepal Pregnancy Hospital records Surveys and Questionnaires Medicine Humans Electronic health records Operations management lcsh:RG1-991 Bangladesh Data collection business.industry Research Infant Newborn Obstetrics and Gynecology Focus Groups Newborn Focus group Hospitals Data Accuracy Perinatal Care Data extraction Data quality Hospital Information Systems Birth Electronic data Female business Quality assurance Software |
Zdroj: | BMC Pregnancy and Childbirth, Vol 21, Iss S1, Pp 1-15 (2021) BMC Pregnancy and Childbirth |
ISSN: | 1471-2393 |
Popis: | BackgroundObservation of care at birth is challenging with multiple, rapid and potentially concurrent events occurring for mother, newborn and placenta. Design of electronic data (E-data) collection needs to account for these challenges. TheEvery NewbornBirth Indicators Research Tracking in Hospitals (EN-BIRTH) was an observational study to assess measurement of indicators for priority maternal and newborn interventions and took place in five hospitals in Bangladesh, Nepal and Tanzania (July 2017–July 2018). E-data tools were required to capture individually-linked, timed observation of care, data extraction from hospital register-records or case-notes, and exit-survey data from women.MethodsTo evaluate this process for EN-BIRTH, we employed a framework organised around five steps for E-data design, data collection and implementation. Using this framework, a mixed methods evaluation synthesised evidence from study documentation, standard operating procedures, stakeholder meetings and design workshops. We undertook focus group discussions with EN-BIRTH researchers to explore experiences from the three different country teams (November–December 2019). Results were organised according to the five a priori steps.ResultsIn accordance with the five-step framework, we found: 1) Selection of data collection approach and software: user-centred design principles were applied to meet the challenges for observation of rapid, concurrent events around the time of birth with time-stamping. 2) Design of data collection tools and programming: required extensive pilot testing of tools to be user-focused and to include in-built error messages and data quality alerts. 3) Recruitment and training of data collectors: standardised with an interactive training package including pre/post-course assessment. 4) Data collection, quality assurance, and management: real-time quality assessments with a tracking dashboard and double observation/data extraction for a 5% case subset, were incorporated as part of quality assurance. Internet-based synchronisation during data collection posed intermittent challenges. 5) Data management, cleaning and analysis: E-data collection was perceived to improve data quality and reduce time cleaning.ConclusionsThe E-Data system, custom-built for EN-BIRTH, was valued by the site teams, particularly for time-stamped clinical observation of complex multiple simultaneous events at birth, without which the study objectives could not have been met. However before selection of a custom-built E-data tool, the development time, higher training and IT support needs, and connectivity challenges need to be considered against the proposed study or programme’s purpose, and currently available E-data tool options. |
Databáze: | OpenAIRE |
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