Individual-Level Digital Determinants of Health and Technology Acceptance of Patient Portals: Cross-Sectional Assessment.

Autor:	Philpot LM; Department of Medicine, Mayo Clinic, Rochester, MN, United States.; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States., Ramar P; Department of Medicine, Mayo Clinic, Rochester, MN, United States., Roellinger DL; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States., Njeru JW; Department of Medicine, Mayo Clinic, Rochester, MN, United States., Ebbert JO; Department of Medicine, Mayo Clinic, Rochester, MN, United States.
Jazyk:	angličtina
Zdroj:	JMIR formative research [JMIR Form Res] 2024 Jun 10; Vol. 8, pp. e56493. Date of Electronic Publication: 2024 Jun 10.
DOI:	10.2196/56493
Abstrakt:	Background: Digital determinants of health (DDoH), including access to technological tools and digital health literacy, function independently as barriers to health. Assessment for DDoH is not routine within most health care systems, although addressing DDoH could help mitigate differential health outcomes and the digital divide. Objective: This study aims to assess the role of individual-level DDoH factors on patient enrollment in and use of the patient portal. Methods: We developed a multimodal, cross-sectional survey and deployed it to 11,424 individuals based on their preferred mode and language documented within the electronic medical record. Based on the Technology Acceptance Model, enrollment in and intent to use the patient portal were the outcomes of interest. Perceived usefulness and ease of use were assessed to determine construct validity, and exploratory investigations included individual-level DDoH, including internet and device access, availability of technological support, medical complexity, individual relationship with the health care system, and digital health literacy. Counts (n) and proportions (%) were used to describe response categories, and adjusted and unadjusted odds ratios are reported. Results: This study included 1850 respondents (11,424 invited, 16.2% response rate), who were mostly female (1048/1850, 56.6%) and White (1240/1850, 67%), with an average age of 63 years. In the validation of the Technology Acceptance Model, measures of perceived ease of use (ie, using the patient portal will require a lot of mental effort; the patient portal will be very easy to use) and perceived usefulness (ie, the usefulness of the patient portal to send and receive messages with providers, schedule appointments, and refill medications) were positively associated with both enrollment in and intent to use the patient portal. Within adjusted models, perceived ease of use and perceived usefulness constructs, in addition to constructs of digital health literacy, knowing what health resources are available on the internet (adjusted odds ratio [aOR] 3.5, 95% CI 1.8-6.6), portal ease of use (aOR 2.8, 95% CI 1.6-5), and portal usefulness (aOR 2.4, 95% CI 1.4-4.2) were significantly associated with patient portal enrollment. Other factors associated with patient portal enrollment and intent to use included being comfortable reading and speaking English, reported use of the internet to surf the web or to send or receive emails, home internet access, and access to technology devices (computer, tablet, smartphone, etc). Conclusions: Assessing for and addressing individual-level DDoH, including digital health literacy, access to digital tools and technologies, and support of the relational aspects between patients, social support systems, and health care providers, could help mitigate disparities in health. By focusing efforts to assess for and address individual-level DDoH, an opportunity exists to improve digitally driven health care delivery outcomes like access and structural outcomes like bias built within algorithms created with incomplete representation across communities. (©Lindsey M Philpot, Priya Ramar, Daniel L Roellinger, Jane W Njeru, Jon O Ebbert. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.06.2024.)
Databáze:	MEDLINE
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