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Evaluating non-randomised intervention studies - NIHR Health ...

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164Review Method of incorporating Results of quality investigationquality into synthesisRey, 1997 346 Qualitative No conclusive results available because of poor study quality. Quality improved in the more recent <strong>studies</strong>.Authors conclude that electroconvulsive therapy in the young is similar in effectiveness and side-effects to its usein adultsRiben, 1994 270 Qualitative Effect of quality on results was discussed. For education: strong/moderate <strong>studies</strong> indicate no relationshipbetween on-site education and sanitation level. For inspections: strong <strong>studies</strong> indicate evidence not conclusiveRichard, 1997 224 Qualitative Inconclusive evidence found to support/refute the value of FU surveillance programmes owing to lack of largeand well-designed <strong>studies</strong>Ried, 1994 347 Quantitative Zero-order correlation (Pearson’s product moment r) was not statistically significant for study ES and qualityCorrelation analysisscore (–0.12), indicating no effect of quality. However, power to detect a statistically significant correlation waslowRobert, 1997 379 Not consideredRowe, 1997 348 Quantitative No significant relationship between quality score and size of treatment effect was found (Pearson’s correlationCorrelation analysis coefficient, r = –0.22, p = 0.33)Saint, 1998 288 Not consideredSalisbury, 1997 198 Qualitative Comment on methodological quality provided in table along with individual study results. Authors conclude thatthere is evidence of benefit from the <strong>intervention</strong> but that this is based on <strong>studies</strong> that are methodologicallyweakSchmidt-Nowara,1995 239Not consideredSchoemaker, 1997 358 QualitativeOnly high-quality <strong>studies</strong> were considered in the review (6/33). Methodological shortcomings and lack of controlfor potential confounders meant that the prognostic value of early <strong>intervention</strong> could not be estimatedSellers, 1997 353 Quantitative Use of matching led to larger ES for weight and systolic and diastolic blood pressure; use of covariate adjustmentEach coded study characteristic was produced smaller ES for smoking and systolic blood pressure. Longer FU time was associated with larger ES forinvestigated (including sample size, matching, cholesterol, weight and CHD riskresponse rate, covariate adjustment, studysetting)Selley, 1997 354 Not consideredSimons, 1996 356 Quantitative Only high-quality <strong>studies</strong> included in the meta-analysis (all RCTs ). Summary effect size was larger when all RCTs(including low-quality ones) were includedAppendix 7continued

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