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Electronic data col...
Electronic data collection for multi-country, hospital-based, clinical observation of maternal and newborn care: EN-BIRTH study experiences.
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Ruysen, Harriet (author)
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Rahman, Ahmed Ehsanur (author)
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Gordeev, Vladimir Sergeevich (author)
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Hossain, Tanvir (author)
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Basnet, Omkar (author)
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Shirima, Kizito (author)
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Rahman, Qazi Sadeq-Ur (author)
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Zaman, Sojib Bin (author)
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Rana, Nisha (author)
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Salim, Nahya (author)
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Tahsina, Tazeen (author)
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Gore-Langton, Georgia R (author)
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Ameen, Shafiqul (author)
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Boggs, Dorothy (author)
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Kong, Stefanie (author)
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Day, Louise T (author)
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El Arifeen, Shams (author)
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Lawn, Joy E (author)
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- KC, Ashish, 1982 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine
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(creator_code:org_t)
- 2021-03-26
- 2021
- English.
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In: BMC pregnancy and childbirth. - : Springer Science and Business Media LLC. - 1471-2393. ; 21:Suppl 1
- Related links:
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https://bmcpregnancy...
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
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- Observation 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. The Every Newborn Birth 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.To 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.In 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.The 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Keyword
- Bangladesh
- Data Accuracy
- Electronic Health Records
- organization & administration
- statistics & numerical data
- Female
- Focus Groups
- Hospital Information Systems
- organization & administration
- statistics & numerical data
- Hospitals
- statistics & numerical data
- Humans
- Infant
- Newborn
- Nepal
- Perinatal Care
- organization & administration
- statistics & numerical data
- Pregnancy
- Software
- Surveys and Questionnaires
- Tanzania
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Ruysen, Harriet
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Rahman, Ahmed Eh ...
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Gordeev, Vladimi ...
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Hossain, Tanvir
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Basnet, Omkar
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Shirima, Kizito
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show more...
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Rahman, Qazi Sad ...
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Zaman, Sojib Bin
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Rana, Nisha
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Salim, Nahya
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Tahsina, Tazeen
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Gore-Langton, Ge ...
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Ameen, Shafiqul
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Boggs, Dorothy
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Kong, Stefanie
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Day, Louise T
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El Arifeen, Sham ...
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Lawn, Joy E
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KC, Ashish, 1982
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show less...
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MEDICAL AND HEAL ...
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BMC pregnancy an ...
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University of Gothenburg