Evidence map›Paper›PMID 35403456›Full record

ArticleHERD2022

Understanding "Work as Done": Using a Structured Video-Based Observational Method to Understand and Model the Role of the Physical Environment in Complex Clinical Work Systems.

Anjali Joseph, David Neyens, Kevin Taaffe, Sara Bayramzadeh, Ken Catchpole, RIPCHD.OR Study Group

Abstract read
In one paragraph

Article in HERD, 2022. 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
–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

0 citing papers in PubMed.

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

6 authors.

Anjali JosephCenter for Health Facilities Design and Testing, School of Architecture, Clemson University, Clemson, SC, USA.
David NeyensDepartment of Industrial Engineering, Clemson University, Clemson, SC, USA.
Kevin TaaffeDepartment of Industrial Engineering, Clemson University, Clemson, SC, USA.
Sara BayramzadehHealth Care Design Program, Kent State University, Kent, OH, USA.
Ken CatchpoleCollege of Medicine, Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, USA.
RIPCHD.OR Study GroupCenter for Health Facilities Design and Testing, School of Architecture, Clemson University, Clemson, SC, USA.

Funding

AHRQ HHS P30 HS024380
6 · The paper itself

Abstract

objectiveTo describe the planning, development, and implementation of a structured video-based observational method that can be used to systematically examine and model the role of the physical environment within healthcare systems.

backgroundDirect observation methods are often used in healthcare to study complex healthcare systems. However, these observations often occur in real time, which predisposes the collected data to shortcomings such as time lags in recording of activities, overlooking events, or limiting the scope of information than can be collected. Video observation approaches eliminate many of these challenges and provide opportunities for researchers to understand and model the role of the physical environment.

methodsAn approach to developing and implementing a structured video-based observational method to study and model complex health systems is presented.

resultsA structured observational approach can be highly effective for collecting multiple layers of data necessary for understanding interactions between the physical environment and other systems components in healthcare settings. The proposed video-based observation method is effective in settings that have clearly defined environmental boundaries, limited number of people, are complex and fast-paced such as the OR, ED trauma rooms, and ICU rooms.

conclusionsVideo-based observation is an effective complement to the traditional observational method for in-depth study of the built environment in health systems, enabling researchers to employ quantitative approaches to data collection and analysis, in addition to qualitative interpretations.

Indexed as

Communications MediaResearch DesignData CollectionHumansVideo Recordinghealthcare systemsoperating roomphysical environmentVideo-based observation

Identifiers

PMID35403456
PMCPMC10350905

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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.