Research Data Collection Methods: From Paper to Tablet Computers

Background:Primary data collection is a critical activity in clinical research. Even with significant advances in technical capabilities, clear benefits of use, and even user preferences for using electronic systems for collecting primary data, paper-based data collection is still common in clinical research settings. However, with recent developments in both clinical research and tablet computer technology, the comparative advantages and disadvantages of data collection methods should be determined. Objective:To describe case studies using multiple methods of data collection, including next-generation tablets, and consider their various advantages and disadvantages. Materials and Methods:We reviewed 5 modern case studies using primary data collection, using methods ranging from paper to next-generation tablet computers. We performed semistructured telephone interviews with each project, which considered factors relevant to data collection. We address specific issues with workflow, implementation and security for these different methods, and identify differences in implementation that led to different technology considerations for each case study. Results and Discussion:There remain multiple methods for primary data collection, each with its own strengths and weaknesses. Two recent methods are electronic health record templates and next-generation tablet computers. Electronic health record templates can link data directly to medical records, but are notably difficult to use. Current tablet computers are substantially different from previous technologies with regard to user familiarity and software cost. The use of cloud-based storage for tablet computers, however, creates a specific challenge for clinical research that must be considered but can be overcome.

[1]  Eric Berger,et al.  The iPad: gadget or medical godsend? , 2010, Annals of emergency medicine.

[2]  G. Putzer,et al.  The effects of innovation factors on smartphone adoption among nurses in community hospitals. , 2010, Perspectives in health information management.

[3]  Hardy Pundt Field Data Collection with Mobile GIS: Dependencies Between Semantics and Data Quality , 2002, GeoInformatica.

[4]  Christopher G. Chute,et al.  Synergies and Distinctions Between Computational Disciplines in Biomedical Research: Perspective From the Clinical and Translational Science Award Programs , 2009, Academic medicine : journal of the Association of American Medical Colleges.

[5]  Walter Mashman The iPad in cardiology: tool or toy? , 2011, JACC. Cardiovascular interventions.

[6]  J. Hutton Building Modular Pediatric Chronic Disease Registries for QI and CE Research , 2013 .

[7]  Christian Lovis,et al.  Research Paper: Handheld vs. Laptop Computers for Electronic Data Collection in Clinical Research: A Crossover Randomized Trial , 2009, J. Am. Medical Informatics Assoc..

[8]  Kim Kiser,et al.  25 ways to use your smartphone. Physicians share their favorite uses and apps. , 2011, Minnesota medicine.

[9]  Amy P Abernethy,et al.  Handheld computers for data entry: high tech has its problems too , 2007, Trials.

[10]  Donglin Zeng,et al.  A comparative study of mobile electronic data entry systems for clinical trials data collection , 2006, Int. J. Medical Informatics.

[11]  Jaegon Jung,et al.  The Uses of the Smartphone for Doctors: An Empirical Study from Samsung Medical Center , 2011, Healthcare informatics research.

[12]  Patricia N Mechael,et al.  Enhancing 'M-health' with south-to-south collaborations. , 2010, Health affairs.

[13]  Asif Ahmad,et al.  Electronic Patient-Reported Data Capture as a Foundation of Rapid Learning Cancer Care , 2010, Medical care.

[14]  Elias Brandt,et al.  Comparative Effectiveness Research in DARTNet Primary Care Practices: Point of Care Data Collection on Hypoglycemia and Over-the-Counter and Herbal Use Among Patients Diagnosed With Diabetes , 2010, Medical care.

[15]  Lisa M. Schilling,et al.  Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) Technology Infrastructure for a Distributed Data Network , 2013, EGEMS.

[16]  Jason S Shapiro,et al.  Automating research data collection. , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[17]  Shannon J. Lane,et al.  Bmc Medical Informatics and Decision Making a Review of Randomized Controlled Trials Comparing the Effectiveness of Hand Held Computers with Paper Methods for Data Collection , 2006 .