340 research outputs found
Systematic reviews of complementary therapies - an annotated bibliography. Part 1: Acupuncture
Background Complementary therapies are widespread but controversial. We aim to provide a comprehensive collection and a summary of systematic reviews of clinical trials in three major complementary therapies (acupuncture, herbal medicine, homeopathy). This article is dealing with acupuncture. Potentially relevant reviews were searched through the register of the Cochrane Complementary Medicine Field, the Cochrane Library, Medline, and bibliographies of articles and books. To be included articles had to review prospective clinical trials of acupuncture; had to describe review methods explicitly; had to be published; and had to focus on treatment effects. Information on conditions, interventions, methods, results and conclusions was extracted using a pretested form and summarized descriptively. Results From a total of 48 potentially relevant reviews preselected in a screeening process 39 met the inclusion criteria. 22 were on various pain syndromes or rheumatic diseases. Other topics addressed by more than one review were addiction, nausea, asthma and tinnitus. Almost unanimously the reviews state that acupuncture trials include too few patients. Often included trials are heterogeneous regarding patients, interventions and outcome measures, are considered to have insufficient quality and contradictory results. Convincing evidence is available only for postoperative nausea, for which acupuncture appears to be of benefit, and smoking cessation, where acupuncture is no more effective than sham acupuncture. Conclusions A large number of systematic reviews on acupuncture exists. What is most obvious from these reviews is the need for (the funding of) well-designed, larger clinical trials
Systematic reviews of complementary therapies – an annotated bibliography. Part 2: Herbal medicine
Background Complementary therapies are widespread but controversial. We aim to provide a comprehensive collection and a summary of systematic reviews of clinical trials in three major complementary therapies (acupuncture, herbal medicine, homeopathy). This article is dealing with herbal medicine. Potentially relevant reviews were searched through the register of the Cochrane Complementary Medicine Field, the Cochrane Library, Medline, and bibliographies of articles and books. To be included articles had to review prospective clinical trials of herbal medicines; had to describe review methods explicitly; had to be published; and had to focus on treatment effects. Information on conditions, interventions, methods, results and conclusions was extracted using a pre-tested form and summarized descriptively. Results From a total of 79 potentially relevant reviews pre-selected in the screening process 58 met the inclusion criteria. Thirty of the reports reviewed ginkgo (for dementia, intermittent claudication, tinnitus, and macular degeneration), hypericum (for depression) or garlic preparations (for cardiovascular risk factors and lower limb atherosclerosis). The quality of primary studies was criticized in the majority of the reviews. Most reviews judged the available evidence as promising but definitive conclusions were rarely possible. Conclusions Systematic reviews are available on a broad range of herbal preparations prescribed for defined conditions. There is very little evidence on the effectiveness of herbalism as practised by specialist herbalists who combine herbs and use unconventional diagnosis
Association between characteristics of nursing teams and patients' aggressive behavior in closed psychiatric wards
PURPOSE: Estimate the effect of nursing, shift, and patient characteristics on patients' aggression. DESIGN AND METHODS: Follow‐up study on a closed psychiatric ward was performed to estimate the effect of nursing team characteristics and patient characteristics on the incidence of aggression. FINDINGS: The incidence of aggression (n = 802 in sample) was lower in teams with >75% male nurses. Teams scoring high on extraversion experienced more verbal aggression and teams scoring high on neuroticism experienced more physical aggression. Younger patients and/or involuntarily admitted patients were more frequently aggressive. PRACTICE IMPLICATIONS: These findings could stimulate support for nurses to prevent aggression
The course of newly presented unexplained complaints in general practice patients: a prospective cohort study
Objective. Newly presented unexplained complaints (UCs) are common in general practice. Factors influencing the transition of newly presented into persistent UCs have been scarcely investigated. We studied the number and the nature of diagnoses made over time, as well as factors associated with UCs becoming persistent. Finally, we longitudinally studied factors associated with quality of life (QoL). Methods. Prospective cohort study in general practice of patients presenting with a new UC. Data sources were case record forms, patient questionnaires and electronic medical registries at inclusion, 1, 6 and 12 months. Presence of complaints and diagnoses made over time were documented. Potential risk factors were assessed in mixed-effect logistic and linear regression models. Results. Sixty-three GPs included 444 patients (73% women; median age 42) with unexplained fatigue (70%), abdominal complaints (14%) and musculoskeletal complaints (16%). At 12 months, 43% of the patients suffered from their initial complaints. Fifty-seven percent of the UCs remained unexplained. UCs had (non-life-threatening) somatic origins in 18% of the patients. QoL was often poor at presentation and tended to remain poor. Being a male [odds ratio (OR) 0.6; 95% confidence interval (CI) 0.4-0.8] and GPs' being more certain about the absence of serious disease (OR 0.9; 95% CI 0.8-0.9) were the strongest predictors of a diminished probability that the complaints would still be present and unexplained after 12 months. The strongest determinants of complaint persistence [regardless of (un)explicability] were duration of complaints >4 weeks before presentation (OR 2.6; 95% CI 1.6-4.3), musculoskeletal complaint at baseline (OR 2.3; 1.2-4.5), while the passage of time acted positively (OR 0.8 per month; 95% CI 0.78-0.84). Musculoskeletal complaints, compared to fatigue, decreased QoL on the physical domain (4.6 points; 2.6-6.7), while presence of psychosocial factors decreased mental QoL (5.0; 3.1-6.9). Conclusion. One year after initial presentation, a large proportion of newly presented UCs remained unexplained and unresolved. We identified determinants that GPs might want to consider in the early detection of patients at risk of UC persistence and/or low Qo
Cross-classified multilevel models improved standard error estimates of covariates in clinical outcomes – a simulation study
Objective: To compare estimates of effect and variability resulting from standard linear regression analysis and hierarchical multilevel analysis with cross-classified multilevel analysis under various scenarios. Study design and setting: We performed a simulation study based on a data structure from an observational study in clinical mental health care. We used a Markov chain Monte Carlo approach to simulate 18 scenarios, varying sample sizes, cluster sizes, effect sizes and between group variances. For each scenario, we performed standard linear regression, multilevel regression with random intercept on patient level, multilevel regression with random intercept on nursing team level and cross-classified multilevel analysis. Results: Applying cross-classified multilevel analyses had negligible influence on the effect estimates. However, ignoring cross-classification led to underestimation of the standard errors of the covariates at the two cross-classified levels and to invalidly narrow confidence intervals. This may lead to incorrect statistical inference. Varying sample size, cluster size, effect size and variance had no meaningful influence on these findings. Conclusion: In case of cross-classified data structures, the use of a cross-classified multilevel model helps estimating valid precision of effects, and thereby, support correct inferences
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