TY - JOUR
T1 - Formation à distance des enquêteurs pour la collecte de données sur la COVID-19
T2 - Défis et leçons tirées de 3 pays d'Afrique subsaharienne
AU - Turke, Shani
AU - Nehrling, Sarah
AU - Adebayo, Samuel Olanipekun
AU - Akilimali, Pierre
AU - Idiodi, Ivan
AU - Mwangi, Anthony
AU - Larson, Elizabeth
AU - Moreau, Caroline
AU - Anglewicz, Philip
N1 - Funding Information:
The Bill & Melinda Gates Foundation supported this work under grants OPP1198339 and OPP1198333.
Publisher Copyright:
© Turke et al.
PY - 2021/4
Y1 - 2021/4
N2 - There is an urgent need for data to inform coronavirus disease (COVID-19) pandemic response efforts. At the same time, the pandemic has created challenges for data collection, one of which is interviewer training in the context of social distancing. In sub-Saharan Africa, in-person interviewer training and face-to-face data collection remain the norms, requiring researchers to think creatively about transitioning to remote settings to allow for safer data collection that respects government guidelines. Performance Monitoring for Action (PMA, formerly PMA2020) has collected both cross-sectional and longitudinal data on key reproductive health measures in Africa and Asia since 2013. Relying on partnerships with in-country research institutes and cadres of female interviewers recruited from sampled communities, the project was well-positioned to transition to collecting data on COVID-19 from the onset of the pandemic. This article presents PMA’s development of a remote training system for COVID-19 surveys in the Democratic Republic of the Congo, Kenya, and Nigeria, including challenges faced and lessons learned. We demonstrate that remote interviewer training can be a viable approach when data are critically needed and in-person learning is not possible. We also argue against systematic replacement of in-person trainings with remote learning, instead recommending consideration of local context and a project’s individual circumstances when contemplating a transition to remote interviewer training.
AB - There is an urgent need for data to inform coronavirus disease (COVID-19) pandemic response efforts. At the same time, the pandemic has created challenges for data collection, one of which is interviewer training in the context of social distancing. In sub-Saharan Africa, in-person interviewer training and face-to-face data collection remain the norms, requiring researchers to think creatively about transitioning to remote settings to allow for safer data collection that respects government guidelines. Performance Monitoring for Action (PMA, formerly PMA2020) has collected both cross-sectional and longitudinal data on key reproductive health measures in Africa and Asia since 2013. Relying on partnerships with in-country research institutes and cadres of female interviewers recruited from sampled communities, the project was well-positioned to transition to collecting data on COVID-19 from the onset of the pandemic. This article presents PMA’s development of a remote training system for COVID-19 surveys in the Democratic Republic of the Congo, Kenya, and Nigeria, including challenges faced and lessons learned. We demonstrate that remote interviewer training can be a viable approach when data are critically needed and in-person learning is not possible. We also argue against systematic replacement of in-person trainings with remote learning, instead recommending consideration of local context and a project’s individual circumstances when contemplating a transition to remote interviewer training.
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U2 - 10.9745/GHSP-D-20-00468
DO - 10.9745/GHSP-D-20-00468
M3 - Article
C2 - 33795368
AN - SCOPUS:85103629945
SN - 2169-575X
VL - 9
SP - 177
EP - 186
JO - Global Health Science and Practice
JF - Global Health Science and Practice
IS - 1
ER -