ArticleHealth care management science2018
The impact of e-visits on patient access to primary care.
Article in Health care management science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions.npj health systems · 2026Article
- Evaluating E-Visit Utilization and Efficacy for Oral Contraceptive Pills in a Large, Integrated Health Care System.O&G open · 2025Article
- Data in ambulatory care logistics: What modelers need and what practice can offer.Health care management science · 2025Article
- Rationale, design, and protocol for a hybrid type 1 effectiveness-implementation trial of a proactive smoking cessation electronic visit for scalable delivery via primary care: the E-STOP trial.BMC primary care · 2023Article
- Impact of virtual visits on primary care physician work flows.Canadian family physician Medecin de famille canadien · 2023Article
- A Markov chain model for analysis of physician workflow in primary care clinics.Health care management science · 2021Article
- Article
- The value of mHealth for managing chronic conditions.Health care management science · 2020Article
- A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer's disease (AD).Health care management science · 2020Review
- Revitalizing Primary Care, Part 2: Hopes for the Future.Annals of family medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
To improve patient access to primary care, many healthcare organizations have introduced electronic visits (e-visits) to provide patient-physician communication through secure messages. However, it remains unclear how e-visit affects physicians' operations on a daily basis and whether it would increase physicians' panel size. In this study, we consider a primary care physician who has a steady patient panel and manages patients' office and e-visits, as well as other indirect care tasks. We use queueing-based performance outcomes to evaluate the performance of care delivery. The results suggest that improved operational efficiency is achieved only when the service time of e-visits is smaller enough to compensate the effectiveness loss due to online communications. A simple approximation formula of the relationship between e-visit service time and e-visit to office visit referral ratio is provided serving as a guideline for evaluating the performance of e-visit implementation. Furthermore, based on the analysis of the impact of e-visits on physician's capacity, we conclude that it is not the more e-visits the better, and the condition for maximal panel size is investigated. Finally, the expected outcomes of implementing e-visits at Dean East Clinic are discussed.
Indexed as
Identifiers
28523477What OpenQuestion holds
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.