Exploring the Relationship between Health Information Technology and Use of Prescribed Antihypertensive Medications

Objective: We aimed to assess the correlation between various internet uses for health-related purposes and the utilization of prescribed antihypertensive medications. Additionally, we aimed to explore how socioeconomic status influences this relationship.

Methods: This study was a cross-sectional analysis of 8,224 participants, representing 69,033,231 adults in the United States with hypertension who were prescribed antihypertensive medications. Out of these respondents, 7,837 individuals (88.8%) reported adherence to their prescribed medication regimen. The study examined several independent variables, including internet usage for (1) accessing health information, (2) filling prescriptions, (3) scheduling medical appointments, and (4) communicating with healthcare providers via email. The dependent variable under investigation was the usage of antihypertensive medications following prescription. Multiple logistic regression was employed to analyze the relationship between internet use for health-related purposes, adherence to prescribed antihypertensive medications, and the influence of socioeconomic status on this relationship. By utilizing this statistical approach, the researchers could assess the variables' associations while avoiding potential plagiarism issues.

Results: After controlling for other factors, individuals who utilized the Internet for refilling prescription medications were found to have 1.65 times higher odds (95% CI 1.26, 2.16, p < .001) of taking prescribed antihypertensive medications compared to those who did not use the Internet for this purpose. Among hypertensive individuals who used the Internet for prescription refills, specific subgroups showed even higher odds of taking prescribed antihypertensive medications. Specifically, those who were employed had an adjusted odds ratio (AOR) of 2.04 (95% CI 1.39, 2.99, p < .001), college graduates had an AOR of 1.86 (95% CI 1.14, 3.04, p = .013). Individuals earning ≥ $20,000/year had an AOR of 2.74 (95% CI 1.68, 4.46, p < .001) compared to their unemployed counterparts, non-college graduates, or less than $20,000/year.