Evaluation of health interventions at area and organisation level

British Medical Journal, August 7, 1999 by Obioha C Ukoumunne, Martin C Gulliford, Susan Chinn, Jonathan A C Sterne, Peter G J Burney, Allan Donner

[7] Black N. Why we need observational studies to evaluate the effectiveness of health care. BMJ 1996;312:1215-8.

[8] Cook TD, Campbell DT. Quasi-experimentation. Design and analysis issues for field settings. Chicago: Rand McNally, 1979.

[9] Donner A, Birkett N, Buck C. Randomisation by duster. Sample size requirements and analysis. Am J Epidemiol 1981;114:906-14.

[10] Donner A. Sample size requirements for cluster randomisation designs. Stat Med 1992; 11:743-50.

[11] Hsieh FY. Sample size formulae for intervention studies with the duster as unit of randomisation. Stat Med 1988;7:1195-201.

[12] Hannan PJ, Murray DM, Jacobs DR Jr, McGovern PG. Parameters to aid in the design and analysis of community trials: intraclass correlations from the Minnesota Heart Health Programme. Epidemiology 1994;5:88-95.

[13] Ukoumunne OC, Gulliford MC, Chinn S, Sterne JAC, Burney PGJ. Methods for evaluating area-wide and organisation-based interventions in health and health care. Health Technol Assess 1999;3(5).

[14] Gulliford MC, Ukoumunne OC, Chinn S. Components of variance and intraclass correlations for the design of community-based surveys and intervention studies: data from the health survey for England 1994. Am J Epidemiol 1999;149:876-83.

[15] Thompson SG, Pyke SDM, Hardy RJ. The design and analysis of paired cluster randomised trials: an application of meta-analysis techniques. Stat Med 1997;16:2063-79.

[16] Klar N, Donner A. The merits of matching: a cautionary tale. Stat Med 1997;16:1753-6.

[17] Martin DC, Diehr P, Perrin EB, Koepsell TD. The effect of matching on the power of randomised community intervention studies. Stat Med 1993;46:123-31.

[18] Diehr P, Martin DC, Koepsell T, Cheadle A. Breaking the matches in a paired t-test for community interventions when the number of pairs is small. Stat Med 1995;14:1491-504.

[19] Feldman HA, McKinlay SM. Cohort versus cross-sectional design in large field trials: precision, sample size and a unifying model. Stat Med 1994;13:61-78.

[20] Diehr P, Martin DC, Koepsell T, Cheadle A, Psaty BM, Wagner EH. Optimal survey design for community intervention evaluations: cohort or cross-sectional? J Clin Epidemiol 1995;48:1461-72.

[21] Donner A, Klar N. Confidence interval construction for effect measures arising from cluster randomisation trials. J Clin Epidemiol 1993;46:123-31.

[22] Rice N, Leyland A. Multi-level models application to health data. J Health Serv Res Policy 1996;1:154-64.

[23] Duncan C, Jones K, Moon G. Context, composition and heterogeneity: using multi-level models in health research. Soc Sci Med 1998;46:97-117.

[24] Edwards SJL, Lilford RJ, Braunholtz DA, Jackson JC, Hewison J, Thornton J. Ethics of randomised trials. In: Black N, Brazier J, Fitzpatrick R, Reeves B, eds. Health services research methods. A guide to best practice. London: BMJ Books, 1998:98-107.

Department of Public Health Sciences, Guy's, King's, and St Thomas's School of Medicine, King's College, London SE1 3QD

Obioha C Ukoumunne, research associate

Martin C Gulliford, senior lecturer


 

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