Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Centre for Digital Transformation, School of Computing and Information Technology, University of Wollongong, Wollongong, Australia.
BMC Prim Care. 2022 Mar 19;23(1):50. doi: 10.1186/s12875-022-01665-3.
The Patient readiness to engage in health information technology (PRE-HIT) is a conceptually and psychometrically validated questionnaire survey tool to measure willingness of patients with chronic conditions to use health information technology (HIT) resources.
This study aimed to translate and validate a health information technology readiness instrument, the PRE-HIT instrument, into the Persian language.
A rigorous process was followed to translate the PRE-HIT instrument into the Persian language. The face and content validity was validated by impact score, content validity index (CVI) and content validity ratio (CVR). The instrument was used to measure readiness of 289 patients with chronic diseases to engage with digital health with a four point Likert scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was used to check the validity of structure. The convergent and discriminant validity, and internal reliability was expressed by average variance extracted (AVE), construct reliability (CR), maximum shared squared variance (MSV), average shared square variance (ASV), and Cronbach's alpha coefficient. Independent samples, t-test and one-way ANOVA were used respectively to compare the impact of sex, education and computer literacy on the performance of all PRE-HIT factors.
Eight factors were extracted: health information needs, computer anxiety, computer/internet experience and expertise, preferred mode of interaction, no news is good news, relationship with doctor, cell phone expertise, and internet privacy concerns. They explained 69% of the total variance and the KMO value was 0.79; Bartlett's test of sphericity was also statistically significant (sig < 0.001). The communality of items was higher than 0.5. An acceptable model fit of the instrument was achieved (CFI = 0.943, TLI = 0.931, IFI = 0.944, GFI = 0.893, RMSEA ≤ 0.06, χ2/df = 1.625, df = 292, P-value ≤ 0.001). The Cronbach's alpha coefficient achieved a satisfactory level of 0.729. The AVE for all factors was higher than 0.50 except for PMI (0.427) and CIEE (0.463) and also the CR for all factors was higher than 0.7, therefore, the convergent validity of the instrument is adequate. The MSV and ASV values for each factor were lower than AVE values; therefore, the divergent validity was acceptable.
The Persian version of the PRE-HIT was empirically proved for its validity to assess the level of readiness of patients to engage with digital health.
患者使用健康信息技术准备度（PRE-HIT）是一个概念和心理测量学上经过验证的问卷工具，用于衡量慢性病患者使用健康信息技术（HIT）资源的意愿。
本研究旨在将健康信息技术准备度工具 PRE-HIT 翻译成波斯语，并对其进行验证。
我们采用严格的流程将 PRE-HIT 翻译成波斯语。采用影响评分、内容效度指数（CVI）和内容效度比（CVR）来验证表面效度和内容效度。该工具用于测量 289 名慢性病患者使用数字健康的准备程度，采用四点李克特量表进行评估。采用探索性因子分析（EFA）和验证性因子分析（CFA）来检查结构的有效性。采用平均方差抽取（AVE）、建构信度（CR）、最大共享平方变异（MSV）、平均共享平方变异（ASV）和克朗巴赫α系数来表示收敛效度和区分效度以及内部信度。采用独立样本 t 检验和单因素方差分析分别比较性别、教育程度和计算机素养对所有 PRE-HIT 因子表现的影响。
提取出 8 个因子：健康信息需求、计算机焦虑、计算机/互联网经验和专业知识、首选交互模式、没有消息就是好消息、与医生的关系、手机专业知识和互联网隐私问题。这 8 个因子解释了总方差的 69%，KMO 值为 0.79；巴特利特球形检验也具有统计学意义（sig<0.001）。项目的共性大于 0.5。该工具的模型拟合度可以接受（CFI=0.943，TLI=0.931，IFI=0.944，GFI=0.893，RMSEA≤0.06，χ2/df=1.625，df=292，P 值≤0.001）。克朗巴赫α系数达到了 0.729 的满意水平。除了 PMI（0.427）和 CIEE（0.463）外，所有因子的 AVE 均高于 0.50，所有因子的 CR 均高于 0.7，因此，该工具的收敛效度是足够的。每个因子的 MSV 和 ASV 值均低于 AVE 值，因此，发散效度是可以接受的。
波斯语版 PRE-HIT 经过实证验证，具有评估患者使用数字健康的准备程度的有效性。
