ArticleJournal of medical Internet research2018
eHealth Engagement as a Response to Negative Healthcare Experiences: Cross-Sectional Survey Analysis.
Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence.Journal of medical Internet research · 2020Pooled it
- Primary care experiences at the intersection of sexual minority status and long-term mental health conditions in England: a cross-sectional analysis using the English General Practice Patient Survey.EClinicalMedicine · 2026Article
- Patient-Provider Discussions About Online Health Information in the Health Information National Trends Survey.Health education & behavior : the official publication of the Society for Public Health Education · 2026Article
- The association between electronic health information usage and patient-centered communication: a cross sectional analysis from the Health Information National Trends Survey (HINTS).BMC health services research · 2023Article
- Colorectal cancer screening disparities in Asian Americans: the influences of patient-provider communication and social media use.Cancer causes & control : CCC · 2023Article
- Prevalence, Factors, and Association of Electronic Communication Use With Patient-Perceived Quality of Care From the 2019 Health Information National Trends Survey 5-Cycle 3: Exploratory Study.Journal of medical Internet research · 2022Article
- Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.JMIR medical informatics · 2022Article
- eHealth Practices in Cancer Survivors With BMI in Overweight or Obese Categories: Latent Class Analysis Study.JMIR cancer · 2020Article
- Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study.JMIR mHealth and uHealth · 2020Article
- Creation of a Patient-Centered Journey Map to Improve the Patient Experience: A Mixed Methods Approach.Mayo Clinic proceedings. Innovations, quality & outcomes · 2019Article
- Acceptance and Expectations of Medical Experts, Students, and Patients Toward Electronic Mental Health Apps: Cross-Sectional Quantitative and Qualitative Survey Study.JMIR mental health · 2019Article
- Article
- Growing Disparities in Patient-Provider Messaging: Trend Analysis Before and After Supportive Policy.Journal of medical Internet research · 2019Article
- Perceived Patient-Provider Communication Quality and Sociodemographic Factors Associated With Watching Health-Related Videos on YouTube: A Cross-Sectional Analysis.Journal of medical Internet research · 2019Article
- Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundeHealth provides individuals with new means of accessing health information and communicating with providers through online channels. Prior evidence suggests that patients use eHealth to find information online when they receive care that is low in patient centeredness. However, it is unclear how other problems with the healthcare-delivery system motivate the use of eHealth, how these problems relate to different kinds of eHealth activities, and which populations are most likely to use eHealth when they receive low-quality care.
objectiveWe aimed to determine how two types of negative care experiences-low patient centeredness and care coordination problems-motivate the use of different eHealth activities, and whether more highly educated individuals, who may find these tools easier to use, are more likely to use eHealth following negative experiences than less highly educated individuals.
methodsUsing nationally representative data from the 2017 Health Information National Trends Survey, we used factor analysis to group 25 different eHealth activities into categories based on the correlation between respondents' reports of their usage. Subsequently, we used multivariate negative binomial generalized linear model regressions to determine whether negative healthcare experiences predicted greater use of these resulting categories. Finally, we stratified our sample based on education level to determine whether the associations between healthcare experiences and eHealth use differed across groups.
resultsThe study included 2612 individuals. Factor analysis classified the eHealth activities into two categories: provider-facing (eg, facilitating communication with providers) and independent (eg, patient-driven information seeking and communication with non-providers). Negative care experiences were not associated with provider-facing eHealth activity in the overall population (care coordination: P=.16; patient centeredness: P=.57) or among more highly educated respondents (care coordination: P=.73; patient centeredness: P=.32), but respondents with lower education levels who experienced problems with care coordination used provider-facing eHealth more often (IRR=1.40, P=.07). Individuals engaged in more independent eHealth activities if they experienced problems with either care coordination (IRR=1.15 P=.01) or patient-centered communication (IRR=1.16, P=.01). Although care coordination problems predicted independent eHealth activity across education levels (higher education: IRR=1.13 P=.01; lower education: IRR=1.19, P=.07), the relationship between low perceived patient centeredness and independent activity was limited to individuals with lower education levels (IRR=1.25, P=.02).
conclusionsIndividuals use a greater number of eHealth activities, especially activities that are independent of healthcare providers, when they experience problems with their healthcare. People with lower levels of education seem particularly inclined to use eHealth when they have negative healthcare experiences. To maximize the potential for eHealth to meet the needs of all patients, especially those who are traditionally underserved by the healthcare system, additional work should be performed to ensure that eHealth resources are accessible and usable to all members of the population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.