ObjectivesTo quantify and analyse the quality of evidence that is presented in national guidelines.SettingLevels of evidence used in all the current valid recommendations in the Scottish Intercollegiate Guideline Network (SIGN) guidelines were reviewed and statistically analysed.Outcome measuresThe proportion of level D evidence used in each guideline and a statistical analysis.MethodData were collected from published guidelines available online to the public. SIGN methodology entails a professional group selected by a national organisation to develop each of these guidelines. Statistical analysis of the relationship between the number of guideline recommendations and the quality of evidence used in its recommendations was performed.ResultThe proportion of level D evidence increases with the number of recommendations made. This correlation is significant with Kendall's τ=0.22 (approximate 95% CI 0.008 to 0.45), p = 0.04; and Spearman ρ=0.22 (approximate 95% CI 0.02 to 0.57), p=0.04.ConclusionsPractice guidelines should be brief and based on scientific evidence. Paradoxically the longest guidelines have the highest proportion of recommendations based on the lowest level of evidence. Guideline developers should be more aware of the need for brevity and a stricter application of evidence-based principles could achieve this. The findings support calls for a review of how evidence is used and presented in guidelines.

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Objectives-To evaluate the use of a maternity unit run by general practitioners and midwives, describing the outcome of labour in an unselected group of women and quantifying the contribution made by general practitioners.Design-Retrospective population based review of obstetric patients who had access to an isolated rural maternity unit.Setting-Rural area 120 km from a consultant maternity unit.Subjects

Patients with pituitary tumors frequently complain of quality of life problems despite normal hormonal blood levels. The goals of the study were to determine whether the sickness-related quality of life reported by these patients was poorer than that expected by the general population and whether some of these complaints and areas of dysfunction were more troublesome than others. Forty-three patients from a southeast Michigan pituitary disorders support group volunteered to complete a survey focusing on demographic, disease data and common complaints plus the Sickness Impact Profile (SIP). The results indicated that mental and physical fatigue were the most troublesome symptoms with sleep and libidinal complaints also of significant concern. The SIP indicated significant discontent among patients with regard to overall quality of life. Although this observational investigation seemed to underscore the fact that patients with pituitary tumors have a decreased quality of life despite apparently normal hormonal status, further subgroup analysis and subsequent surveys will be required to determine the actual significance of these findings.

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