Evaluating the Digital Health Experience for Patients in Primary Care: Mixed Methods Study.

BACKGROUND: The digital health divide for socioeconomic disadvantage describes a pattern in which patients considered socioeconomically disadvantaged, who are already marginalized through reduced access to face-to-face health care, are additionally hindered through less access to patient-initiated digital health. A comprehensive understanding of how patients with socioeconomic disadvantage access and experience digital health is essential for improving the digital health divide. Primary care patients, especially those with chronic disease, have experience of the stages of initial help seeking and self-management of their health, which renders them a key demographic for research on patient-initiated digital health access. OBJECTIVE: This study aims to provide comprehensive primary mixed methods data on the patient experience of barriers to digital health access, with a focus on the digital health divide. METHODS: We applied an exploratory mixed methods design to ensure that our survey was primarily shaped by the experiences of our interviewees. First, we qualitatively explored the experience of digital health for 19 patients with socioeconomic disadvantage and chronic disease and second, we quantitatively measured some of these findings by designing and administering a survey to 487 Australian general practice patients from 24 general practices. RESULTS: In our qualitative first phase, the key barriers found to accessing digital health included (1) strong patient preference for human-based health services; (2) low trust in digital health services; (3) high financial costs of necessary tools, maintenance, and repairs; (4) poor publicly available internet access options; (5) reduced capacity to engage due to increased life pressures; and (6) low self-efficacy and confidence in using digital health. In our quantitative second phase, 31% (151/487) of the survey participants were found to have never used a form of digital health, while 10.7% (52/487) were low- to medium-frequency users and 48.5% (236/487) were high-frequency users. High-frequency users were more likely to be interested in digital health and had higher self-efficacy. Low-frequency users were more likely to report difficulty affording the financial costs needed for digital access. CONCLUSIONS: While general digital interest, financial cost, and digital health literacy and empowerment are clear factors in digital health access in a broad primary care population, the digital health divide is also facilitated in part by a stepped series of complex and cumulative barriers. Genuinely improving digital health access for 1 cohort or even 1 person requires a series of multiple different interventions tailored to specific sequential barriers. Within primary care, patient-centered care that continues to recognize the complex individual needs of, and barriers facing, each patient should be part of addressing the digital health divide.

Digital Health Tools and Patients With Drug Use Disorders: Qualitative Patient Experience Study of the Electronic Case-Finding and Help Assessment Tool (eCHAT).

BACKGROUND: One of the promises of digital health is to better engage patients and improve care for vulnerable populations. Patients with drug use disorders are a vulnerable population who often do not receive the care they need, both for their drug use disorders as well as their other health care needs. Appropriate primary care for patients with drug use disorders needs to be patient-centered, holistic, highly accessible, and engaging. The electronic Case-finding and Help Assessment Tool (eCHAT) was designed as a patient-centered tool for the identification and measurement of problematic health behaviors and mood states. OBJECTIVE: The aim of this study was to explore the patient experience of eCHAT at an Australian family medicine clinic for patients with drug use disorders. METHODS: A total of 12 semistructured interviews were conducted with patients, two interviews were conducted with doctors, and one focus group was conducted with patient advocates who were former patients of the clinic where the study took place. The transcripts were analyzed using inductive thematic analysis. RESULTS: The key themes identified from the interviews and the focus group were as follows: (1) eCHAT helped reduce stigma related to drug use in the doctor-patient consultation, (2) restricted answer options impacted the ability of patients to tell their stories, (3) patient-related response factors, (4) increased efficiency in the consultation process, and (5) divergence in level of concern around security and privacy. CONCLUSIONS: eCHAT has the potential to help vulnerable patients in primary care to engage more with their doctors and reduce experiences of stigma. eCHAT may be a useful digital health intervention in a family medicine clinic for patients with drug use disorders. It has the potential to improve patient engagement and access to health care, which are crucial areas of need in this vulnerable population. However, it is important to clearly communicate the privacy risk of digital health tools and to implement eCHAT such that it will add value to, rather than displace, in-person consultations with the family doctor.