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Record W3211164032 · doi:10.1093/milmed/usab122

Interchangeability in Military Interprofessional Health Care Teams: Lessons Into Collective Self-healing and the Benefits Thereof

2021· article· en· W3211164032 on OpenAlexaff
Sayra Cristancho, Emily Field, Karlen S Bader-Larsen, Lara Varpio

Bibliographic record

VenueMilitary Medicine · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsWestern University
FundersUniformed Services University of the Health Sciences
KeywordsInterchangeabilityMilitary medicineMedicineMilitary healthHealth careMilitary personnelNursingMedical emergencyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

INTRODUCTION: Interchangeability-i.e., the capacity to change places with another-is necessary for military interprofessional health care teams (MIHTs) to provide around-the-clock patient care. However, while interchangeability is clearly a necessity for modern health care delivery, it raises uncomfortable questions for civilian health care teams where it is usually labeled as unsafe. This perception surfaces because interchangeability runs counter to some of health care's cultural beliefs including those around patient ownership and professional scopes of practice. It is, therefore, not surprising that little is known about whether and how some level of interchangeability can be harnessed to improve the productivity of health care teams overall. In this article, we explore the notion of interchangeability in the particular context of MIHTs given that these health care teams are familiar with it. This exploration will offer insights into how interchangeability could maximize civilian health care teams' capacity to adapt. MATERIALS AND METHODS: We conducted a secondary analysis of interview data as an analytic expansion: "the kind of study in which the researcher makes further use of a primary data set in order to ask new or emerging questions that derive from having conducted the original analysis but were not envisioned within the original scope of the primary study aims". Within our secondary analysis approach, we used thematic analysis as our analytical tool to describe (1) what interchangeability looks like in MIHT teams, (2) how it is fostered in MIHTs, and (3) how it is enacted in MIHTs. RESULTS: Interchangeability was realized in MIHTs when individual team members adapted to take on roles and/or tasks that were not clearly niched in their specific areas of expertise but instead drew on the broad foundation of their clinical skill set. Cross-training and distributed leadership were ways in which MIHT members described how interchangeability was fostered. Furthermore, five features of working within MIHT teams were identified as key conditions to enact interchangeability: knowing your team members; being able to work with what/who you have; actively seeking others' expertise; situating your role within the broader picture of the mission; and maintaining a learning/teaching mindset. CONCLUSIONS: Interchangeability can be understood through the theoretical lens of Swarm Intelligence and more specifically, the principle of collective self-healing-which is the ability of collectives to continue to successfully perform despite disruption, challenges, or the loss of a team member. Our findings highlight how MIHTs have adopted interchangeability in a wide array of contexts to realize collective self-healing. Despite the discomfort it provokes, we suggest that interchangeability could be a powerful asset to civilian health care teams.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.422
Teacher spread0.391 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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