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面向卫生专业人员的电子学习。

E-learning for health professionals.

作者信息

Vaona Alberto, Banzi Rita, Kwag Koren H, Rigon Giulio, Cereda Danilo, Pecoraro Valentina, Tramacere Irene, Moja Lorenzo

机构信息

Primary Care, Azienda ULSS 20 - Verona, Ospedale di Marzana, Piazzale Ruggero Lambranzi 1, Verona, Italy, 37142.

出版信息

Cochrane Database Syst Rev. 2018 Jan 21;1(1):CD011736. doi: 10.1002/14651858.CD011736.pub2.

DOI:10.1002/14651858.CD011736.pub2
PMID:29355907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6491176/
Abstract

BACKGROUND

The use of e-learning, defined as any educational intervention mediated electronically via the Internet, has steadily increased among health professionals worldwide. Several studies have attempted to measure the effects of e-learning in medical practice, which has often been associated with large positive effects when compared to no intervention and with small positive effects when compared with traditional learning (without access to e-learning). However, results are not conclusive.

OBJECTIVES

To assess the effects of e-learning programmes versus traditional learning in licensed health professionals for improving patient outcomes or health professionals' behaviours, skills and knowledge.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, five other databases and three trial registers up to July 2016, without any restrictions based on language or status of publication. We examined the reference lists of the included studies and other relevant reviews. If necessary, we contacted the study authors to collect additional information on studies.

SELECTION CRITERIA

Randomised trials assessing the effectiveness of e-learning versus traditional learning for health professionals. We excluded non-randomised trials and trials involving undergraduate health professionals.

DATA COLLECTION AND ANALYSIS

Two authors independently selected studies, extracted data and assessed risk of bias. We graded the certainty of evidence for each outcome using the GRADE approach and standardised the outcome effects using relative risks (risk ratio (RR) or odds ratio (OR)) or standardised mean difference (SMD) when possible.

MAIN RESULTS

We included 16 randomised trials involving 5679 licensed health professionals (4759 mixed health professionals, 587 nurses, 300 doctors and 33 childcare health consultants).When compared with traditional learning at 12-month follow-up, low-certainty evidence suggests that e-learning may make little or no difference for the following patient outcomes: the proportion of patients with low-density lipoprotein (LDL) cholesterol of less than 100 mg/dL (adjusted difference 4.0%, 95% confidence interval (CI) -0.3 to 7.9, N = 6399 patients, 1 study) and the proportion with glycated haemoglobin level of less than 8% (adjusted difference 4.6%, 95% CI -1.5 to 9.8, 3114 patients, 1 study). At 3- to 12-month follow-up, low-certainty evidence indicates that e-learning may make little or no difference on the following behaviours in health professionals: screening for dyslipidaemia (OR 0.90, 95% CI 0.77 to 1.06, 6027 patients, 2 studies) and treatment for dyslipidaemia (OR 1.15, 95% CI 0.89 to 1.48, 5491 patients, 2 studies). It is uncertain whether e-learning improves or reduces health professionals' skills (2912 health professionals; 6 studies; very low-certainty evidence), and it may make little or no difference in health professionals' knowledge (3236 participants; 11 studies; low-certainty evidence).Due to the paucity of studies and data, we were unable to explore differences in effects across different subgroups. Owing to poor reporting, we were unable to collect sufficient information to complete a meaningful 'Risk of bias' assessment for most of the quality criteria. We evaluated the risk of bias as unclear for most studies, but we classified the largest trial as being at low risk of bias. Missing data represented a potential source of bias in several studies.

AUTHORS' CONCLUSIONS: When compared to traditional learning, e-learning may make little or no difference in patient outcomes or health professionals' behaviours, skills or knowledge. Even if e-learning could be more successful than traditional learning in particular medical education settings, general claims of it as inherently more effective than traditional learning may be misleading.

摘要

背景

电子学习被定义为通过互联网以电子方式介导的任何教育干预措施,在全球卫生专业人员中的使用稳步增加。多项研究试图衡量电子学习在医疗实践中的效果,与无干预相比,其往往具有较大的积极效果;与传统学习(无法使用电子学习)相比,则具有较小的积极效果。然而,结果并不确凿。

目的

评估电子学习项目与传统学习对持牌卫生专业人员改善患者结局或卫生专业人员行为、技能和知识的效果。

检索方法

我们检索了截至2016年7月的Cochrane系统评价数据库(CENTRAL)、医学期刊数据库(MEDLINE)、荷兰医学文摘数据库(Embase)以及其他五个数据库和三个试验注册库,没有基于语言或出版状态的任何限制。我们检查了纳入研究的参考文献列表和其他相关综述。如有必要,我们联系研究作者以收集有关研究的更多信息。

选择标准

评估电子学习与传统学习对卫生专业人员有效性的随机试验。我们排除了非随机试验和涉及本科卫生专业人员的试验。

数据收集与分析

两位作者独立选择研究、提取数据并评估偏倚风险。我们使用GRADE方法对每个结局的证据确定性进行分级,并在可能的情况下使用相对风险(风险比(RR)或比值比(OR))或标准化均数差(SMD)对结局效应进行标准化。

主要结果

我们纳入了16项随机试验,涉及5679名持牌卫生专业人员(4759名综合卫生专业人员、587名护士、300名医生和33名儿童保健健康顾问)。在12个月的随访中,与传统学习相比,低确定性证据表明电子学习对以下患者结局可能几乎没有差异:低密度脂蛋白(LDL)胆固醇低于100mg/dL的患者比例(校正差异4.0%,95%置信区间(CI)-0.3至7.9,N = 6399名患者,1项研究)和糖化血红蛋白水平低于8%的患者比例(校正差异4.6%,95%CI -1.5至9.8,3114名患者,1项研究)。在3至12个月的随访中,低确定性证据表明电子学习对卫生专业人员的以下行为可能几乎没有差异:血脂异常筛查(OR 0.90,9

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