ArticleJournal of telemedicine and telecare2022
eConsult Specialist Quality of Response (eSQUARE): A novel tool to measure specialist correspondence via electronic consultation.
Article in Journal of telemedicine and telecare, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- What are the primary care physicians and cardiologists talking about? a cross-sectional analysis of two telemedicine services in Rio de Janeiro, Brazil.BMC primary care · 2025Article
- Evaluating the Impact of an eConsult Platform on Specialty Care Access for Medicaid Patients.Journal of the American Board of Family Medicine : JABFM · 2025Article
- Formalizing the curbside: digitally enhancing access to specialty care.Proceedings (Baylor University. Medical Center) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-quality correspondence between healthcare providers is critical for effective patient care. We developed an assessment tool to measure the quality of specialist correspondence to primary care providers (PCPs) via electronic consultation (eConsult), where specialists provide advice without specialist-patient interactions. We incorporated fourteen previously described features of high-quality eConsult correspondence into an assessment tool named the eConsult Specialist Quality of Response (eSQUARE). Six PCPs and two specialists applied the 10-item eSQUARE tool to 30 eConsults of varying quality as informed by PCP survey data. Content, response process, and internal structure validity evidence was gathered. Psychometric properties were calculated using descriptive statistics and generalizability analyses. Mean total score for low-quality eConsults (M = 24 ± 5.6) was significantly lower than moderate-quality eConsults (M = 38 ± 4.7; p<0.001) which was significantly lower than high-quality eConsults (M = 46 ± 3.0; p = 0.002). Reliability measures were high, including generalizability coefficient (0.96), inter-item (≥0.55) and item-total correlations (≥0.68). A decision study demonstrated that a single rater was adequate to achieve a reliability measure of ≥0.70. This study demonstrates initial validity evidence including multiple reliability measures for the eSQUARE. A single rater is adequate to achieve reliability measures for formative feedback. Future studies can apply the eSQUARE when planning educational initiatives aiming to improve specialist-to-PCP correspondence via eConsult.
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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.