Examples of the influence of evaluation on health policy.

Regulation strategies for controlling hospital costs are widely discussed today and medical technology assessment is one of these strategies. A Committee for Evaluation of the Diffusion of Innovative Technologies (CEDIT) was created in 1982 at the 'Assistance Publique de Paris', the most important health care institution in France. The CEDIT makes recommendations to the Director General on the use of new technologies. Since 1982, more than 50 medical technologies have been studied by the CEDIT: procedures such as plasmapheresis, bone marrow transplantation and percutaneous transluminal angioplasty; equipment such as lasers and the lithotriptor. The CEDIT helps planners who have to make difficult choices.     

Quality-of-Life Measurements in Multiethnic Patients with Systemic Lupus Erythematosus: Cross-Cultural Issues

Although the survival rate for systemic lupus erythematosus (SLE) has improved dramatically during the past 50 years, the quality of life of patients afflicted with this disease remains poor. Currently existent measures of disease activity and damage in SLE do not capture the patient’s perspective and health-related quality of life (HRQoL). Most studies in SLE pertaining to HRQoL are from developed Western societies, with only a few from others. These studies have been conducted predominantly in women and using the Medical Outcomes Survey Short Form 36, a generic HRQoL instrument that has been shown not to be sensitive to change in lupus. Existent lupus-specific HRQoL measures have not yet been used in SLE clinical trials. New HRQoL research tools are currently undergoing validation in different countries, languages, and cultural settings, which may help dissect the underlying role of socioeconomic status and specific disease-related features that impact SLE-related quality of life.     

Effect of improved home ventilation on asthma control and house dust mite allergen levels

Background:  The warm, humid environment in modern homes favours the dust mite population, but the effect of improved home ventilation on asthma control has not been established. We tested the hypothesis that a domestic mechanical heat recovery ventilation system (MHRV), in addition to allergen avoidance measures, can improve asthma control by attenuating re-colonization rates.
Methods:  We conducted a randomized double-blind placebo-controlled parallel group trial of the installation of MHRV activated in half the homes of 120 adults with asthma, allergic to Dermatophagoides pteronyssinus . All homes had carpets steam cleaned and new bedding and mattress covers at baseline. The primary outcome was morning peak expiratory flow (PEF) at 12 months.
Results:  At 12 months, the primary end-point; change in mean morning PEF as compared with baseline, did not differ between the MHRV group and the control group (mean difference 13.5 l/min, 95% CI: −2.6 to 29.8, P  = 0.10). However, a secondary end-point; evening mean PEF, was significantly improved in the MHRV group (mean difference 24.5 l/min, 95% CI: 8.9–40.1, P  = 0.002). Indoor relative humidity was reduced in MHRV homes, but there was no difference between the groups in Der p 1 levels, compared with baseline.
Conclusions:  The addition of MHRV to house dust mite eradication strategies did not achieve a reduction in mite allergen levels, but did improve evening PEF.     

Primary thrombocythemia in pregnancy: a report of two cases

We report two cases of primary thrombocythemia diagnosed during pregnancy. One patient developed transient visual field defects. She was treated with plateletpheresis at term and delivered of a normal child by cesarean section. The second patient was not treated. Intrauterine fetal death occurred at 36 weeks' gestation from multiple placental infarcts. In cases of primary thrombocythemia, we suggest close monitoring of both mother and fetus throughout pregnancy.     

A framework for effective training for supervisors

The purpose of this paper is to identify the key theoretical and empirical considerations that should underpin effective training for supervisors. Decisions about the content of training courses are complex because there is no appropriate model of supervision in medicine. This paper argues that, in the absence of an explanatory model, effective training for supervisors should be based on existing relevant understandings about learning processes and models of supervision, together with relevant empirical data. It explores some useful models of supervision, considers helpful aspects of theories about learning from experience and identifies some relevant empirical findings to identify some key theoretical and empirical considerations that should underpin effective training for supervisors. This paper offers a framework, derived from both empirical and theoretical work, to guide the content of effective supervision training courses. It does not prescribe structure or organization of training but suggests a basis for devising specific courses for response to local needs.     

Generalisability: a key to unlock professional assessment

CONTEXT: Reliability is defined as the extent to which a result reflects all possible measurements of the same construct. It is an essential measurement characteristic. Unfortunately, there are few objective tests for the most important aspects of the professional role because they are complex and intangible. In addition, professional performance varies markedly from setting to setting and case to case. Both these factors threaten reliability. AIM: This paper describes the classical approach to evaluating reliability and points out the limitations of this approach. It goes on to describe how generalisability theory solves many of these limitations. CONDITIONS: A G-study uses variance component analysis to measure the contributions that all relevant factors make to the result (observer, situation, case, assessee and their interactions). This information can be combined to reflect the reliability of a single observation as a reflection of all possible measurements - a true reflection of reliability. It can also be used to estimate the reliability of a combined sample of several different observations, or to predict how many observations are required with different test formats to achieve a given level of reliability. Worked examples are used to illustrate the concepts.