描述性统计
介绍
简单随机抽样
信息和通信技术
国际商用机器公司
线性回归
简单线性回归
健康档案
回归分析
统计显著性
医学教育
护理部
医学
心理学
统计
医疗保健
计算机科学
环境卫生
数学
万维网
人口
材料科学
经济增长
经济
纳米技术
作者
Linus Kipkorir Chirchir,Wilson Aruasa,Stanley Kulei Chebon
标识
DOI:10.1080/20421338.2020.1777676
摘要
This study explored how technical factors influence Electronic Health Records (EHR) adoption by nurses at Moi Teaching and Referral Hospital (MTRH), Eldoret, Kenya. Descriptive cross-sectional research design was used. Data were collated through a questionnaire. Simple random sampling method was deployed to select 279 out of 926 nurses from the various Directorates. All the filled surveys were coded into IBM SPSS 21.0 statistical software. Descriptive statistics, including means, standard deviation, skewness and kurtosis were employed to analyze the various variables. Correlation and linear regression analysis were utilized to determine how Information and Communication Technology (ICT) infrastructure, internet access and physical security influence the adoption of EHRs. The significance level was at p < 0.05 for every statistical set. The findings were presented using tables and figures. The findings reveal that nurses agreed that MTRH premises are highly secured (M = 4.219, SD = 0.7386). The study found a positive, strong and statistically meaningful link between the technical factors and EHR adoption (correlation analysis, r (279) = 0.543, p < 0.05; linear regression analysis, F (1,277) = 116.036, p < 0.01). Therefore, to overcome the technical barriers, public-private partnerships should be encouraged for more investments in ICT infrastructure development at MTRH.
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