Health Literacy, eHealth Literacy, Adherence to Infection Prevention and Control Procedures, Lifestyle Changes, and Suspected COVID-19 Symptoms Among Health Care Workers During Lockdown: Online Survey.
Health Literacy, eHealth Literacy, Adherence to Infection Prevention and Control Procedures, Lifestyle Changes, and Suspected COVID-19 Symptoms Among Health Care Workers During Lockdown: Online Survey.
复制标题
DOI：
10.2196/22894
复制
发表时间：
2020-11-12
影响因子：
7.4
通讯作者：
Duong TV
中科院分区：
文献类型：
--
作者：
Do BN;Tran TV;Phan DT;Nguyen HC;Nguyen TTP;Nguyen HC;Ha TH;Dao HK;Trinh MV;Do TV;Nguyen HQ;Vo TT;Nguyen NPT;Tran CQ;Tran KV;Duong TT;Pham HX;Nguyen LV;Nguyen KT;Chang PWS;Duong TV
COVID-19大流行给医疗保健系统和政府带来沉重负担。健康素养（HL）和电子健康素养（通过电子健康素养量表[eHEALS]衡量）被认为是战略性的公共卫生要素，但在大流行期间被低估了。HL、eHEALS评分、实践、生活方式和医护人员（HCW）的健康状况在遏制COVID-19大流行方面发挥着至关重要的作用。本研究的目的是评估eHEALS的心理测量特性，并检查HL和eHEALS评分与封闭期间HCW遵守感染预防和控制（IPC）程序、生活方式改变和疑似COVID-19症状的相关性。我们于2020年4月6日至4月19日对来自越南15家医院和卫生中心的5209名HCW进行了在线调查。参与者回答了与社会人口统计学、HL、eHEALS、IPC程序依从性、饮食、吸烟、饮酒和体力活动行为变化以及疑似COVID-19症状相关的问题。主成分分析，相关性分析，双变量和多变量线性和逻辑回归模型被用来验证eHEALS和检查关联。eHEALS具有令人满意的结构效度，其中8个项目在一个组成部分上具有高负荷，因子负荷从0.78到0.92，解释了76.34%的方差;令人满意的效标效度与HL相关（ρ=0.42）;令人满意的收敛效度，具有高项目量表相关（ρ=0.80-0.84）;以及高内部一致性（Cronbach α= 0.95）。男性的HL和eHEALS评分显著高于男性（未标化系数[B]=1.01，95% CI 0.57-1.45，P<.001; B=0.72，95% CI 0.43-1.00，P<.001），支付能力较强的患者（B=1.65，95% CI 1.25-2.05，P<.001; B=0.60，95% CI 0.34-0.86，P<.001），医生（B=1.29，95% CI 0.73-1.84，P<0.001; B = 0.56，95% CI 0.20-0.93，P= 0.003），以及有疫情控制经验的患者（B=1.96，95% CI 1.56-2.37，P<.001; B=0.64，95% CI 0.38-0.91，P<.001）。HL或eHEALS评分较高的HCW对IPC程序的依从性更好（B=0.13，95% CI 0.10-0.15，P<.001; B=0.22，95% CI 0.19-0.26，P<.001），健康饮食的可能性较高（比值比[OR] 1.04，95%CI 1.01-1.06，P=.001; OR 1.04，95%CI 1.02-1.07，P=.002），体力活动较多（OR 1.03，95% CI 1.02-1.03，P<.001; OR 1.04，95% CI 1.03-1.05，P<.001），疑似COVID-19症状的可能性较低（OR 0.97，95%CI 0.96-0.98，P<.001; OR 0.96，95%CI 0.95-0.98，P<.001）。eHEALS是一个有效和可靠的调查工具。性别、支付药物的能力、职业和流行病控制经验是HL和eHEALS评分的独立预测因素。HL或eHEALS评分较高的HCW更好地遵守IPC程序，生活方式更健康，疑似COVID-19症状的可能性更低。努力提高医护人员的HL和eHEALS评分有助于遏制COVID-19大流行并将其后果降至最低。
The COVID-19 pandemic has imposed a heavy burden on health care systems and governments. Health literacy (HL) and eHealth literacy (as measured by the eHealth Literacy Scale [eHEALS]) are recognized as strategic public health elements but they have been underestimated during the pandemic. HL, eHEALS score, practices, lifestyles, and the health status of health care workers (HCWs) play crucial roles in containing the COVID-19 pandemic. The aim of this study is to evaluate the psychometric properties of the eHEALS and examine associations of HL and eHEALS scores with adherence to infection prevention and control (IPC) procedures, lifestyle changes, and suspected COVID-19 symptoms among HCWs during lockdown. We conducted an online survey of 5209 HCWs from 15 hospitals and health centers across Vietnam from April 6 to April 19, 2020. Participants answered questions related to sociodemographics, HL, eHEALS, adherence to IPC procedures, behavior changes in eating, smoking, drinking, and physical activity, and suspected COVID-19 symptoms. Principal component analysis, correlation analysis, and bivariate and multivariate linear and logistic regression models were used to validate the eHEALS and examine associations. The eHEALS had a satisfactory construct validity with 8 items highly loaded on one component, with factor loadings ranked from 0.78 to 0.92 explaining 76.34% of variance; satisfactory criterion validity as correlated with HL (ρ=0.42); satisfactory convergent validity with high item-scale correlations (ρ=0.80-0.84); and high internal consistency (Cronbach α=.95). HL and eHEALS scores were significantly higher in men (unstandardized coefficient [B]=1.01, 95% CI 0.57-1.45, P<.001; B=0.72, 95% CI 0.43-1.00, P<.001), those with a better ability to pay for medication (B=1.65, 95% CI 1.25-2.05, P<.001; B=0.60, 95% CI 0.34-0.86, P<.001), doctors (B=1.29, 95% CI 0.73-1.84, P<.001; B 0.56, 95% CI 0.20-0.93, P=.003), and those with epidemic containment experience (B=1.96, 95% CI 1.56-2.37, P<.001; B=0.64, 95% CI 0.38-0.91, P<.001), as compared to their counterparts, respectively. HCWs with higher HL or eHEALS scores had better adherence to IPC procedures (B=0.13, 95% CI 0.10-0.15, P<.001; B=0.22, 95% CI 0.19-0.26, P<.001), had a higher likelihood of healthy eating (odds ratio [OR] 1.04, 95% CI 1.01-1.06, P=.001; OR 1.04, 95% CI 1.02-1.07, P=.002), were more physically active (OR 1.03, 95% CI 1.02-1.03, P<.001; OR 1.04, 95% CI 1.03-1.05, P<.001), and had a lower likelihood of suspected COVID-19 symptoms (OR 0.97, 95% CI 0.96-0.98, P<.001; OR 0.96, 95% CI 0.95-0.98, P<.001), respectively. The eHEALS is a valid and reliable survey tool. Gender, ability to pay for medication, profession, and epidemic containment experience were independent predictors of HL and eHEALS scores. HCWs with higher HL or eHEALS scores had better adherence to IPC procedures, healthier lifestyles, and a lower likelihood of suspected COVID-19 symptoms. Efforts to improve HCWs’ HL and eHEALS scores can help to contain the COVID-19 pandemic and minimize its consequences.
登录
查看更多内容
影响因子：
7.4
作者：
Gong, Kai;Xu, Zhong;Wang, Zhanxiang
通讯作者：
Wang, Zhanxiang
影响因子：
--
作者：
Duong, Tuyen V;Aringazina, Altyn;Chang, Peter W S
通讯作者：
Chang, Peter W S
影响因子：
7.4
作者：
Abd-Alrazaq, Alaa;Alhuwail, Dari;Shah, Zubair
通讯作者：
Shah, Zubair
影响因子：
15.1
作者：
Hao, Fengyi;Tan, Wanqiu;Tam, Wilson
通讯作者：
Tam, Wilson
影响因子：
7.4
作者：
Ahmad, Araz Ramazan;Murad, Hersh Rasool
通讯作者：
Murad, Hersh Rasool