McGill University, Ingram School of Nursing, Canada.
St-Mary's Research Centre, Canada.
Patient Educ Couns. 2019 May;102(5):952-960. doi: 10.1016/j.pec.2018.12.021. Epub 2019 Jan 9.
To evaluate online depression self-management (SM) resources based on their readability, suitability, and quality to determine their appropriateness for use by patients.
A Google search using patients' most frequently searched terms was conducted. Resources were evaluated using readability indices, the Suitability Assessment of Materials (SAM), and the DISCERN tool. The number of SM skills and other contributing factors (e.g., resource format) were also evaluated.
The mean readability score across the sample was grade 10 (SD 1.5, range 8-14) and 22.2% of resources (n = 6) met the criteria for superior suitability. The mean sample scores were 58.8% (SD 11.6, range 36%-81%) for the DISCERN and 4.4 for SM skills (SD 1.6, range 2-8). SAM and DISCERN scores were found to be significantly correlated (Pearson correlation-coefficient 0.70). A cluster analysis of SAM and DISCERN scores suggested two groups that were significantly different (t-test, P < 0.001): 8 resources in a "high quality" cluster and 19 resources in a "medium/low" quality cluster.
Eight publicly available online resources scored highly. However, the readability of all the resources evaluated exceeded recommended levels.
Resources that are accessible to people with lower literacy levels and increased user-friendliness are needed.
评估在线抑郁自我管理（SM）资源的可读性、适用性和质量，以确定其是否适合患者使用。
使用患者最常搜索的术语进行谷歌搜索。使用可读性指标、材料适用性评估（SAM）和 DISCERN 工具评估资源。还评估了 SM 技能的数量和其他因素（例如资源格式）。
样本的平均可读性得分为 10 年级（SD 1.5，范围 8-14），22.2%的资源（n=6）符合优秀适用性标准。DISCERN 的平均样本得分是 58.8%（SD 11.6，范围 36%-81%），SM 技能的平均样本得分为 4.4（SD 1.6，范围 2-8）。SAM 和 DISCERN 得分呈显著相关（皮尔逊相关系数 0.70）。SAM 和 DISCERN 得分的聚类分析表明存在两个显著不同的组（t 检验，P<0.001）：8 个资源在“高质量”组，19 个资源在“中/低质量”组。
有 8 个公开的在线资源评分较高。然而，评估的所有资源的可读性都超过了建议水平。
需要为阅读能力较低和用户友好度较高的人群提供资源。
