Evidence map›Paper›PMID 36743161›Full record

ArticleFrontiers in public health2022

Agile Delphi methodology: A case study on how technology impacts burnout syndrome in the post-pandemic era.

Fuensanta Medina-Dominguez, Maria-Isabel Sanchez-Segura, Antonio de Amescua-Seco, Germán-Lenin Dugarte-Peña, Santiago Villalba Arranz

Abstract read
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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fuensanta Medina-DominguezComputer Science and Engineering Department, Universidad Carlos III de Madrid, Leganés, Madrid, Spain.
Maria-Isabel Sanchez-SeguraComputer Science and Engineering Department, Universidad Carlos III de Madrid, Leganés, Madrid, Spain.
Antonio de Amescua-SecoComputer Science and Engineering Department, Universidad Carlos III de Madrid, Leganés, Madrid, Spain.
Germán-Lenin Dugarte-PeñaUniversidad Francisco de Vitoria, Madrid, Spain.
Santiago Villalba ArranzUnidad Técnica de Diseño, Innovación y Desarrollo, Instituto Regional de Seguridad y Salud en el Trabajo de la Comunidad de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the post-pandemic era, many habits in different areas of our lives have changed. The exponential growth in the use of technology to perform work activities is one of them. At the same time, there has been a marked increase in burnout syndrome. Is this a coincidence? Could they be two interconnected developments? What if they were? Can we use technology to mitigate this syndrome? This article presents the agile Delphi methodology (MAD), an evolved version of the Delphi method, adapted to the needs of modern-day society. Methods: To drive Occupational Health and Safety (OHS) experts to reach a consensus on what technological and non-technological factors could be causing the burnout syndrome experienced by workers in the post-pandemic era, MAD has been used in a specific case study. This study formally presents MAD and describes the stages enacted to run Delphi experiments agilely. Results: MAD is more efficient than the traditional Delphi methodology, reducing the time taken to reach a consensus and increasing the quality of the resulting products. Discussion: OHS experts identified factors that affect and cause an increase in burnout syndrome as well as mechanisms to mitigate their effects. The next step is to evaluate whether, as the experts predict, burnout syndrome decreases with the mechanisms identified in this case study.

Indexed as

Burnout, ProfessionalPandemicsBurnout, PsychologicalHumansTechnologyburnout syndromeDelphi methodhuman and organizational factorsOccupational Health and SafetySafety

Identifiers

PMID36743161
PMCPMC9895364

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