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Conducting Substudies in a Longitudinal Research Project
Jenny Helman
Deborah Loxton
Lyn Adamson
Anna Graves
Jennifer Powers
Abstract
Longitudinal studies often include substudies which involve the collection of specific and more detailed data from subsets of study participants.
The longitudinal study framework adds methodological strength to these substudies through enabling sampling of individuals with exposures or outcomes of interest, and through retrospective and prospective access to longitudinal data. However, while there are many advantages to these studies, there are also a number of potential disadvantages.
Here we describe some of the considerations to be applied when designing and approving a substudy and some of the procedures to be applied to ensure that the substudy runs well and has minimal impact on study participants.
Keywords
longitudinal studies, substudies, piggyback studies, supplementary studies, research methods
References
Adamson L and Chojenta C (2007) Developing relationships and retaining participants in a longitudinal study, International Journal of Multiple research Approaches.
Adamson L and Graves A (2007) Cohort Management: Developing and maintaining participant databases in longitudinal studies, International Journal of Multiple Research Approaches.
Adamson L, Young AF and Byles JE (2007) Recruiting for a longitudinal study: who to choose, how to choose and how to enhance participation, International Journal of Multiple research Approaches.
Andresen EM, Malmgren JA, Carter WB and Patrick DL (1994). Screening for depression in well older adults: Evaluation of a short form of the CES-D. American Journal of Preventive Medicine, 10: 77-84.
Beaglehole R, Bonita R and Kjellstrom T (2007) Basic Epidemiology 2nd ed. World Health Organization Geneva.
Chojenta C, Mooney R and Warner-Smith P (2007) Accessing and disseminating longitudinal data: Protocols and policies, International Journal of Multiple Research Approaches.
Deeg DJ, van Tilburg T, Smit JH and De Leeuw ED (2002) Attrition in the Longitudinal Aging Study Amsterdam. The effect of differential inclusion in side studies, Journal of Clinical Epidemiology 55:319-28.
Graves A, Ball J and Fraser E (2007) Data management: The building blocks of clean, accurate and reliable longitudinal datasets, International Journal of Multiple Research Approaches.
Gades NM, Jacobson DJ, McGree ME, Lieber MM, Roberts RO, Girman CJ and Jacobsen SJ (2006) Dropout in a longitudinal, cohort study of urologic disease in community men, Biomed Central Medical Research Methodology 6:58.
Gordis L (2004) Epidemiology 3rd ed. Elsevier Saunders Philadelphia.
Loxton D and Young A (2007) Longitudinal survey development and design, International Journal of Multiple Research Approaches.
Microsoft Project 2003 [Computer Software] (2003). Microsoft Corporation.
Rothman K and Greenland S eds (1998) Modern epidemiology 2nd ed. Lippincott-Raven Philadelphia.
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.
Young AF, Powers J and Wheway V (2007) Working with longitudinal data: attrition and retention, data quality, measures of change and other analytical issues, International Journal of Multiple Research Approaches.

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