Evidence map›Paper›PMID 34033576›Full record

ArticleJMIR formative research2021

Inpatient Telemedicine Implementation as an Infection Control Response to COVID-19: Qualitative Process Evaluation Study.

Nadia Safaeinili, Stacie Vilendrer, Emma Williamson, Zicheng Zhao, Cati Brown-Johnson, Steven M Asch, Lisa Shieh

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Nadia SafaeiniliDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0003-4792-3091
Stacie VilendrerDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0003-2317-5973
Emma WilliamsonDepartment of Engineering, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0002-1503-9720
Zicheng ZhaoDepartment of Comparative Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0002-7187-3429
Cati Brown-JohnsonDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0002-5415-3665
Steven M AschDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0001-5838-5335
Lisa ShiehDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0003-2729-315X
Stanford University · USCenter for Innovation · US

Funding

AHRQ HHS T32 HS022241
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic created new challenges to delivering safe and effective health care while minimizing virus exposure among staff and patients without COVID-19. Health systems worldwide have moved quickly to implement telemedicine in diverse settings to reduce infection, but little is understood about how best to connect patients who are acutely ill with nearby clinical team members, even in the next room.

objectiveTo inform these efforts, this paper aims to provide an early example of inpatient telemedicine implementation and its perceived acceptability and effectiveness.

methodsUsing purposive sampling, this study conducted 15 semistructured interviews with nurses (5/15, 33%), attending physicians (5/15, 33%), and resident physicians (5/15, 33%) on a single COVID-19 unit within Stanford Health Care to evaluate implementation outcomes and perceived effectiveness of inpatient telemedicine. Semistructured interview protocols and qualitative analysis were framed around the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework, and key themes were identified using a rapid analytic process and consensus approach.

resultsAll clinical team members reported wide reach of inpatient telemedicine, with some use for almost all patients with COVID-19. Inpatient telemedicine was perceived to be effective in reducing COVID-19 exposure and use of personal protective equipment (PPE) without significantly compromising quality of care. Physician workflows remained relatively stable, as most standard clinical activities were conducted via telemedicine following the initial intake examination, though resident physicians reported reduced educational opportunities given limited opportunities to conduct physical exams. Nurse workflows required significant adaptations to cover nonnursing duties, such as food delivery and facilitating technology connections for patients and physicians alike. Perceived patient impact included consistent care quality, with some considerations around privacy. Reported challenges included patient-clinical team communication and personal connection with the patient, perceptions of patient isolation, ongoing technical challenges, and certain aspects of the physical exam.

conclusionsClinical team members reported inpatient telemedicine encounters to be acceptable and effective in reducing COVID-19 exposure and PPE use. Nurses adapted their workflows more than physicians in order to implement the new technology and bore a higher burden of in-person care and technical support. Recommendations for improved inpatient telemedicine use include information technology support and training, increased technical functionality, and remote access for the clinical team.

Indexed as

COVID-19implementation scienceinfection controlinpatientpersonal protective equipmentqualitativequality improvementRE-AIMtelemedicine

Identifiers

PMID34033576
PMCPMC8211098
OpenAlexW3160875871

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.