Digital Inclusion in Older Adults: A Comparison Between Face-to-Face and Blended Digital Literacy Workshops

The assessment of content validity is a critical and complex step in the development process of instruments which are frequently used to measure complex constructs in social and administrative pharmacy research. The aims of this study were to investigate the elements of content validity; to describe a practical approach for assessing content validity; and to discuss existing content validity indices. This is a narrative review of the assessment and quantification of content validity. It describes the key stages of conducting the content validation study and discusses the quantification and evaluation of the content validity estimates. Content validity provides evidence about the degree to which elements of an assessment instrument are relevant to and representative of the targeted construct for a particular assessment purpose. The assessment of content validity relies on using a panel of experts to evaluate instrument elements and rate them based on their relevance and representativeness to the content domain. It is a three-stage process that includes; the development stage, judgment and quantifying stage, and revising and reconstruction stage. To quantify the expert judgments, several indices have been discussed in this paper such as the content validity ratio (CVR), content validity index (CVI), modified-Kappa, and some agreement indices. A practical guide describes the process of content validity evaluation is provided. In summary, content validation processes and content validity indices are essential factors in the instrument development process, should be treated and reported as important as other types of construct validation. Determining item CVI and reporting an overall CVI are important components necessary to instruments especially when the instrument is used to measure health outcomes or to guide a clinical decision making. Content validity deserves a rigorous assessment process as the obtained information from this process are invaluable for the quality of the newly developed instrument.

Background Internet technology can provide a diverse array of online resources for low-income disabled and homebound older adults to manage their health and mental health problems and maintain social connections. Despite many previous studies of older adults’ Internet use, none focused on these most vulnerable older adults. Objective This study examined Internet use patterns, reasons for discontinued use, eHealth literacy, and attitudes toward computer/Internet use among low-income homebound individuals aged 60 and older in comparison to their younger counterparts—homebound adults under age 60. Methods Face-to-face or telephone surveys were conducted with 980 recipients of home-delivered meals in central Texas (78% were age 60 years and older and 22% under age 60). The eHealth Literacy Scale (eHEALS) and the efficacy and interest subscales of the Attitudes Toward Computer/Internet Questionnaire (ATC/IQ) were used to measure the respective constructs. Age groups were compared with chi-square tests and t tests. Correlates of Internet use were analyzed with multinomial logistic regression, and correlates of eHEALS and ATC/IQ scores were analyzed with OLS regression models. Results Only 34% of the under-60 group and 17% of the 60 years and older group currently used the Internet, and 35% and 16% of the respective group members reported discontinuing Internet use due to cost and disability. In addition to being older, never users were more likely to be black (OR 4.41; 95% CI 2.82-6.91, P<.001) or Hispanic (OR 4.69; 95% CI 2.61-8.44, P<.001), and to have lower incomes (OR 0.36; 95% CI 0.27-0.49, P<.001). Discontinued users were also more likely to be black or Hispanic and to have lower incomes. Among both age groups, approximately three-fourths of the current users used the Internet every day or every few days, and their eHEALS scores were negatively associated with age and positively associated with frequency of use. Among the 60 and older group, a depression diagnosis was also negatively associated with eHEALS scores. ATC/IQ efficacy among never users of all ages and among older adults was positively associated with living alone, income, and the number of medical conditions and inversely associated with age, Hispanic ethnicity, and Spanish as the primary language. Although ATC/IQ interest among older adults was also inversely associated with age, it was not associated with Hispanic ethnicity and Spanish as the primary language. Conclusions This study is the first to describe in detail low-income disabled and homebound adults’ and older adults’ Internet use. It shows very low rates of Internet use compared to the US population, either due to lack of exposure to computer/Internet technology; lack of financial resources to obtain computers and technology; or medical conditions, disabilities, and associated pain that restrict use. Recommendations to reduce the digital divide among these individuals are provided.