Archives
Cohort Management: Developing and maintaining participant databases in longitudinal studies
Lyn Adamson
Anna Graves
Abstract
Creating databases that will support longitudinal cohort studies over extended periods of time is a challenge. The need to record and archive all current and historical activities for each participant can result in large databases. Effectively managing these databases is a key component of achieving successful outcomes for longitudinal studies.
This paper describes the methods that have been employed by one longitudinal cohort study to develop functional and flexible databases that will stand the test of time. While not exhaustive these principles provide guidelines that will assist in the creation and maintenance of databases to support a longitudinal cohort study.
Keywords
longitudinal studies, participant retention, data management, cohort studies
References
Adamson L and Chojenta C (2007) Developing relationships and retaining participants in a longitudinal study, International Journal of Multiple Research Approaches.
Australian Government, Australian Institute of Health and Welfare (AIHW), 2007. National Death Index [online], Australia. Available from [Accessed 17 May 2007].
Australian Government, Australian Institute of Health and Welfare (AIHW) (2007) NDI data provision package [online]. ‘How to provide data to match the National Death Index’. Australia. Available from http://www.aihw.gov.au/cancer/ndi/NDI_application_package_2007.doc [Accessed 17 May 2007].
Chojenta C, Mooney R and Warner-Smith P (2007) Accessing and disseminating longitudinal data: Protocols and policies, International Journal of Multiple Research Approaches, vol 1/2 (November 2007).
ICD-10-AM (2004) International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification 2004, National Centre for Classification in Health (NCCH) under contract from the Australian Department of Health and Ageing. Available from [Accessed 18 June 2007].
Warner-Smith P, Loxton D and Brown WJ (2007) Human resources for longitudinal studies: Matching people to skills and tasks, International Journal of Multiple Research Approaches

eContent Home