Literature DB >> 15157727

Mounting a community-randomized trial: sample size, matching, selection, and randomization issues in PRISM.

Lyndsey Watson1, Rhonda Small, Stephanie Brown, Wendy Dawson, Judith Lumley.   

Abstract

This paper discusses some of the processes for establishing a large cluster-randomized trial of a community and primary care intervention in 16 local government areas in Victoria, Australia. The development of the trial in terms of design factors such as sample size estimates and the selection and randomization of communities to intervention or comparison is described. The intervention program to be implemented in Program of Resources, Information and Support for Mothers (PRISM) was conceived as a whole community approach to improving support for all mothers in the first 12 months after birth. A cluster-randomized trial was thus the design of choice from the outset. With a limited number of communities available, a matched-pair design with eight pairs was chosen. Sample size estimates, adjusting for the cluster randomization and the pair-matched design, showed that with eight pairs, on average, 800 women from each community would need to respond to provide sufficient power to determine a 3% reduction in the prevalence of maternal depression 6 months after birth-a reduction deemed to be a worthwhile impact of the intervention to be reliably detected at 80% power. The process of selecting suitable communities and matching them into pairs required careful collection of data on numbers of births, size of the local government areas (LGAs), and an assessment of the capacity of communities to implement the intervention. Ways of dealing with boundary issues associated with potential contamination are discussed. Methods for the selection of feasible configurations of sets of pairs and the ultimate allocation to intervention or comparison are provided in detail. Ultimately, all such studies are a balancing act between selecting the minimum number of communities to detect a meaningful outcome effect of an intervention and the maximum size budget and other resources allow.

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Year:  2004        PMID: 15157727     DOI: 10.1016/j.cct.2003.12.002

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  7 in total

1.  Psychosocial education improves low back pain beliefs: results from a cluster randomized clinical trial (NCT00373009) in a primary prevention setting.

Authors:  Steven Z George; Deydre S Teyhen; Samuel S Wu; Alison C Wright; Jessica L Dugan; Guijun Yang; Michael E Robinson; John D Childs
Journal:  Eur Spine J       Date:  2009-05-06       Impact factor: 3.134

2.  Adaptive pair-matching in randomized trials with unbiased and efficient effect estimation.

Authors:  Laura B Balzer; Maya L Petersen; Mark J van der Laan
Journal:  Stat Med       Date:  2014-11-25       Impact factor: 2.373

3.  ADAPTIVE MATCHING IN RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES.

Authors:  Mark J van der Laan; Laura B Balzer; Maya L Petersen
Journal:  J Stat Res       Date:  2012-12-01

4.  Intracluster correlation coefficient in multicenter childhood trauma studies.

Authors:  Bahman Roudsari; Raymond Fowler; Avery Nathens
Journal:  Inj Prev       Date:  2007-10       Impact factor: 2.399

5.  PRISM (Program of Resources, Information and Support for Mothers): a community-randomised trial to reduce depression and improve women's physical health six months after birth [ISRCTN03464021].

Authors:  Judith Lumley; Lyndsey Watson; Rhonda Small; Stephanie Brown; Creina Mitchell; Jane Gunn
Journal:  BMC Public Health       Date:  2006-02-17       Impact factor: 3.295

6.  Rationale, design, and protocol for the prevention of low back pain in the military (POLM) trial (NCT00373009).

Authors:  Steven Z George; John D Childs; Deydre S Teyhen; Samuel S Wu; Alison C Wright; Jessica L Dugan; Michael E Robinson
Journal:  BMC Musculoskelet Disord       Date:  2007-09-14       Impact factor: 2.362

7.  Improving population-level maternal health: a hard nut to crack? Long term findings and reflections on a 16-community randomised trial in Australia to improve maternal emotional and physical health after birth [ISRCTN03464021].

Authors:  Rhonda Small; Lyndsey Watson; Jane Gunn; Creina Mitchell; Stephanie Brown
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

  7 in total

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