David G. Dillon|Fraser Pirie|Stephen K. Rice|Cristina Pomilla|Manjinder S. Sandhu|Ayesha A. Motala|Elizabeth Young
Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa
University of Cambridge|Wellcome Sanger Institute|University of KwaZulu-Natal|Wellcome Sanger Institute|University of Cambridge|Wellcome Sanger Institute|University of Cambridge|Wellcome Sanger Institute|University of KwaZulu-Natal|University of Cambridge|Wellcome Sanger Institute
h2abstracth2h3objectivesh3 existing electronic data capture options often financially unfeasible resourcepoor settings difficult support technically field help facilitate largescale multicenter studies subsaharan africa african partnership chronic disease research apcdr developed opensource electronic questionnaire eq h3study design settingh3 assess relative validity compared eq traditional penandpaper methods using 200 randomized interviews conducted ongoing type 2 diabetes casecontrol study south africa h3resultsh3 3month validation eq lower frequency errors eq 017 errors per 100 questions paper 073 errors per 100 questions ipivalue 0001 lower monetary cost per correctly entered question compared penandpaper method found marked difference average duration interview methods eq 54 minutes paper 56 minutes h3conclusionh3 validation study suggests eq may offer increased accuracy similar interview duration increased costeffectiveness compared paperbased data collection methods apcdr eq software freely available httpsgithubcomapcdrquestionnaire