Evidence map›Paper›PMID 35595236›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Innovating in a crisis: a qualitative evaluation of a hospital and Google partnership to implement a COVID-19 inpatient video monitoring program.

Ksenia Gorbenko, Afrah Mohammed, Edward I I Ezenwafor, Sydney Phlegar, Patrick Healy, Tamara Solly, Ingrid Nembhard, Lucy Xenophon, Cardinale Smith, Robert Freeman and 2 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Ksenia GorbenkoDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-1010-2257
Afrah MohammedDepartment of Clinical Innovation, Mount Sinai Health System, New York, New York, USA.
Edward I I EzenwaforInstitute for Health Care Delivery Science, Mount Sinai Health System, New York, New York, USA.
Sydney PhlegarInstitute for Health Care Delivery Science, Mount Sinai Health System, New York, New York, USA.
Patrick HealyDepartment of Clinical Innovation, Mount Sinai Health System, New York, New York, USA.
Tamara SollyDepartment of Nursing, The Mount Sinai Hospital, Mount Sinai Health System, New York, New York, USA.
Ingrid NembhardDepartment of Health Care Management, Wharton School of Business, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lucy XenophonChief Transformation Officer, The Mount Sinai Morningside Hospital, Mount Sinai Health System, New York, New York, USA.
Cardinale SmithDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-3635-8701
Robert FreemanDepartment of Clinical Innovation, Mount Sinai Health System, New York, New York, USA.ORCID 0000-0003-4946-6533
David ReichDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Madhu MazumdarDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-3965-5146

Funding

Office of Clinical Innovation, Mount Sinai Health System
6 · The paper itself

Abstract

objectiveTo describe adaptations necessary for effective use of direct-to-consumer (DTC) cameras in an inpatient setting, from the perspective of health care workers.

methodsOur qualitative study included semi-structured interviews and focus groups with clinicians, information technology (IT) personnel, and health system leaders affiliated with the Mount Sinai Health System. All participants either worked in a coronavirus disease 2019 (COVID-19) unit with DTC cameras or participated in the camera implementation. Three researchers coded the transcripts independently and met weekly to discuss and resolve discrepancies. Abiding by inductive thematic analysis, coders revised the codebook until they reached saturation. All transcripts were coded in Dedoose using the final codebook.

resultsFrontline clinical staff, IT personnel, and health system leaders (N = 39) participated in individual interviews and focus groups in November 2020-April 2021. Our analysis identified 5 areas for effective DTC camera use: technology, patient monitoring, workflows, interpersonal relationships, and infrastructure. Participants described adaptations created to optimize camera use and opportunities for improvement necessary for sustained use. Non-COVID-19 patients tended to decline participation. DISCUSSION: Deploying DTC cameras on inpatient units required adaptations in many routine processes. Addressing consent, 2-way communication issues, patient privacy, and messaging about video monitoring could help facilitate a nimble rollout. Implementation and dissemination of inpatient video monitoring using DTC cameras requires input from patients and frontline staff.

conclusionsGiven the resources and time it takes to implement a usable camera solution, other health systems might benefit from creating task forces to investigate their use before the next crisis.

Indexed as

COVID-19Health PersonnelHospitalsHumansInpatientsSearch EngineCOVID-19electronic personal protective equipment (ePPE)health care worker wellbeingpatient isolationpatient safetytelemedicine

Identifiers

PMID35595236
PMCPMC9129147

What OpenQuestion holds

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LicenceCC BY-NC
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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.