Evidence map›Paper›PMID 37978511›Full record

ArticleBMC health services research2023

Development of a novel instrument to characterize telemedicine programs in primary care.

Logan D Cho, Grace Rabinowitz, Crispin Goytia, Katerina Andreadis, Hsin-Hui Huang, Natalie C Benda, Jenny J Lin, Carol Horowitz, Rainu Kaushal, Jessica S Ancker and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Logan D ChoIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.
Grace RabinowitzIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.
Crispin GoytiaDepartment of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue Box 1077, New York, NY, 10029, USA.
Katerina AndreadisDepartment of Population Health Sciences, Weill Cornell Medical College, 402 E. 67Th Street, New York, NY, 10065, USA.
Hsin-Hui HuangInstitute for Healthcare Delivery Science, Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue Box 1077, New York, NY, 10029, USA.
Natalie C BendaDepartment of Population Health Sciences, Weill Cornell Medical College, 402 E. 67Th Street, New York, NY, 10065, USA.
Jenny J LinDepartment of Medicine, Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, 17 E. 102nd Street Box 1087, New York, NY, 10029, USA.
Carol HorowitzDepartment of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue Box 1077, New York, NY, 10029, USA.
Rainu KaushalDepartment of Population Health Sciences, Weill Cornell Medical College, 402 E. 67Th Street, New York, NY, 10065, USA.
Jessica S AnckerDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Ave., Rm 14122, Nashville, TN, USA.
Jashvant PoeranInstitute for Healthcare Delivery Science, Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue Box 1077, New York, NY, 10029, USA. jashvant.poeran@mountsinai.org.

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
NCATS NIH HHS UL1 TR004419
6 · The paper itself

Abstract

backgroundGiven the rapid deployment of telemedicine at the onset of the COVID - 19 pandemic, updated assessment methods are needed to study and characterize telemedicine programs. We developed a novel semi - structured survey instrument to systematically describe the characteristics and implementation processes of telemedicine programs in primary care.

methodsIn the context of a larger study aiming to describe telemedicine programs in primary care, a survey was developed in 3 iterative steps: 1) literature review to obtain a list of telemedicine features, facilitators, and barriers; 2) application of three evaluation frameworks; and 3) stakeholder engagement through a 2-stage feedback process. During survey refinement, items were tested against the evaluation frameworks while ensuring it could be completed within 20-25 min. Data reduction techniques were applied to explore opportunity for condensed variables/items.

resultsSixty initially identified telemedicine features were reduced to 32 items / questions after stakeholder feedback. Per the life cycle framework, respondents are asked to report a month in which their telemedicine program reached a steady state, i.e., "maturation". Subsequent questions on telemedicine features are then stratified by telemedicine services offered at the pandemic onset and the reported point of maturation. Several open - ended questions allow for additional telemedicine experiences to be captured. Data reduction techniques revealed no indication for data reduction.

conclusionThis 32-item semi-structured survey standardizes the description of primary care telemedicine programs in terms of features as well as maturation process. This tool will facilitate evaluation of and comparisons between telemedicine programs across the United States, particularly those that were deployed at the pandemic onset.

Indexed as

COVID-19TelemedicineHumansPandemicsPrimary Health CareSurveys and QuestionnairesUnited StatesCOVID - 19 pandemicPrimary careSurvey developmentTelemedicine

Identifiers

PMID37978511
PMCPMC10657014

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.