Teamscope is a secure and easy-to-use data collection platform, specially designed for sensitive data and clinical research.
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We aimed to investigate their range of utility - for both cross-sectional and longitudinal studies-, their suitability for offline surveys, and their further services that set them apart. With an ever-increasing saturation of mobile survey solutions, we researched the best ones to date. Case management saves time and improves data quality in longitudinal research because it eliminates the need to re-enter baseline data each time the same subject is assessed. A case can be anything - patient, beneficiary, location, program or facility.
To be able to efficiently follow-up on subjects, longitudinal projects require a data gathering solution that supports case management.Ĭase management is the ability to create entities and follow-up on them across time. Some projects will requiere the same subjects to be surveyed at different moments of time, in other words longitudinally. Examples of cross-sectional studies are patient registries or household surveys. These types of studies are always observational, wherein researchers record information about their subjects without manipulating the study environment. Often, these studies do not collect personally identifiable information (PII) as there is no need for a follow-up on the study subjects.
Research that involves recording data at a single one point in time, a so-called, snapshot of a population is a cross-sectional study. Will the data only be captured from subjects once, in other words, cross-sectional? Or does the research require measurements at multiple moments across time, in other words, longitudinal? One crucial distinction between different research projects is the time frame. Thus the mobile survey platform of choice should be flexible enough to be used for a range of different data, as well as in potentially disconnected areas. When looking into data gathering tools for research, it is essential to acknowledge that projects differ in their design and purpose. Case Management vs Cross-sectional data collection
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We also suggest you read our guide on the best practices for offline data collection for an in-depth view on how to successfully capture in remote areas. With this article, we hope to answer the question of which of these options may suit your research purposes best. Offline forms allow researchers that are working in places with unreliable internet to store a backup of their data on their mobile device and upload it once an internet connection is available.Īs researchers today see the immense advantages of using mobile survey apps over paper-based forms, the number of data collection solutions grows. One of the main advantages of data collections apps is the possibility of gathering data offline or while on-the-go. Capturing data offlineĭata collection apps are mobile applications that make it possible to collect data from a smartphone, tablet or iPad. Although smartphone adoption in the world has skyrocketed in the last five years, internet access has not increased at the same speed, and so much of the world today remains offline. This is due to a simple reason: web-based data recording tools become useless when there is no internet.
This innovation was the big bang of the paper-less movement.ĭespite the advances in web-based data entry systems, historically field researchers and clinical teams working on the go have still suffered from the burden of paper-based data gathering. With the turn of the century came the cloud, which expanded any web browser into a platform to visualise and complete forms. The first of these systems to become widely adopted where Microsoft Access and MySQL.
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Data collection software was first introduced in the early 1980s (Hyde, 1998) to address the many shortcomings of paper-based forms, such as increased errors through transcription and late detection of inaccuracies. The benefits of using data collection systems is that they eliminate the use of paper surveys and allow data to be quickly exported for data analysis and reporting. Data collection software is a computerised system for the collection and storage of qualitative and quantitative data in an electronic form.
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