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Record W4401579654 · doi:10.1177/01632787241273911

Physician-Led Synchronous Telemedicine Compared to Face-To-Face Care in Primary Care: A Systematic Review

2024· review· en· W4401579654 on OpenAlexafffund
Keyna Bracken, Jennifer Salerno, Ling Yang

Bibliographic record

VenueEvaluation & the Health Professions · 2024
Typereview
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsImpactMcMaster University
FundersMcMaster University
KeywordsTelemedicinePsycINFOMEDLINEMedicineHealth careCochrane LibrarySystematic reviewFamily medicineFace-to-faceChecklistMeta-analysisGrey literaturePsychology

Abstract

fetched live from OpenAlex

The COVID-19 crisis rapidly introduced telemedicine as the predominate modality to deliver healthcare however this change has not received attention in primary care settings and the health-related impacts are unknown. The study's objective was to explore the effects of physician-led synchronous telemedicine compared to face-to-face care delivered in the primary care setting on healthcare system use and attributes of primary care as reported in recent studies. We performed a comprehensive literature search in five databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, PsycInfo) and critical appraisal using the Joanna Briggs Institute tools. Of 6,247 studies identified, 157 studies underwent full text review, and 19 studies were included. Most studies were conducted in the U.S. (78.9%) and used video and telephone telemedicine (57.9%). An outcome-based qualitative description and narrative synthesis showed similar or fewer emergency department visits, hospital visits, and prescribing, and fewer diagnostic tests and imaging for telemedicine visits compared to face-to-face care. Our systematic review fills a gap in the literature on telemedicine in primary care settings however our results need to be interpreted cautiously given studies' susceptibility to selection bias, confounding, and limited applicability to other health systems and time periods.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.512
Teacher spread0.385 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractyes

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