Evidence map›Paper›PMID 38620160›Full record

ArticleHuman factors in healthcare2023

Improving Quality of Care for Patients Receiving Care through Telehealth in the Time of COVID-19 Global Pandemic and Beyond: HCI-based Leading Indicators for Virtual Visits.

Yalda Khashe, Maryam Tabibzadeh, Najmedin Meshkati

Open access · goldAbstract read
In one paragraph

Article in Human factors in healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Yalda KhasheDaniel j. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, California, United States.
Maryam TabibzadehManufacturing Systems Engineering & Management Department, California State University, Northridge, California, United States.
Najmedin MeshkatiDepartment of Civil and Environmental Engineering, University of Southern California, Los Angeles, California, United States.
University of Southern California · USCalifornia State University, Northridge · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic expedited the growing rate of reliance on telehealth, as it provided a safer option for patients to seek the care they need and avoid potential negative consequences of being exposed to the COVID-19 virus. The aim of this study is to develop a series of Human-Computer Interaction (HCI)-based leading indicators to proactively analyze and evaluate the user interface in telehealth and virtual visits. Building on Nielsen's usability heuristics and mapping them to the six aspects of quality of care introduced by the Institute of Medicine, we identified the design features that had the highest impact on the quality of care and developed a list of leading indicators for each feature. Further, we developed corresponding checklists for each leading indicator to evaluate the features of the user. Beyond the benefits of telehealth for both patients and healthcare providers during atypical circumstances, the changes prompted by the COVID-19 public health emergency have possibly altered the position of telehealth to the point that communicating through video and audio has become the new normal. Therefore, the importance of designing an interface to facilitate user interaction with the system and consequently with one another is of utmost importance.

Indexed as

digital healthhuman-computer interactioninterface designpatient safetyusability testing and evaluation

Identifiers

PMID38620160
PMCPMC10290161
OpenAlexW4381989243

What OpenQuestion holds

Textmetadata
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.