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Record W4297243532 · doi:10.1111/1468-0009.12579

Understanding the Conceptualization and Operationalization of Trauma‐Informed Care Within and Across Systems: A Critical Interpretive Synthesis

2022· review· en· W4297243532 on OpenAlex
MARIA BARGEMAN, Julia Abelson, Gillian Mulvale, Anne Niec, ANIA THEUER, Sandra Moll

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMilbank Quarterly · 2022
Typereview
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOperationalizationConceptualizationCLARITYHealth careCritical appraisalHealth services researchGrey literatureHealth informaticsPsychologyMEDLINEMedicineNursingPublic healthComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Policy Points In order to achieve successful operationalization of trauma-informed care (TIC), TIC policies must include conceptual clarity regarding the definition of both trauma and TIC. Furthermore, TIC requires clear and cohesive policies that address operational factors such as clearly delineated roles of service providers, protocol for positive trauma screens, necessary financial infrastructure, and mechanisms of intersectoral collaboration. Additionally, policy procedures need to be considered for how TIC is provided at the program and service level as well as what TIC means at the organizational, system, and intersectoral level. CONTEXT: Increased recognition of the epidemiology of trauma and its impact on individuals within and across human service delivery systems has contributed to the development of trauma-informed care (TIC). How TIC can be conceptualized and implemented, however, remains unclear. This study seeks to review and analyze the TIC literature from within and across systems of care and to generate a conceptual framework regarding TIC. METHODS: Our study followed a critical interpretive synthesis methodology. We searched multiple databases (Campbell Collaboration, Econlit, Health Systems Evidence, Embase, ERIC, HealthSTAR, IPSA, JSTOR, Medline, PsychINFO, Social Sciences Abstracts, Sociological Abstracts and Web of Science),as well as relevant gray literature and information-rich websites. We used a coding tool, adapted to the TIC literature, for data extraction. FINDINGS: Electronic database searches yielded 2,439 results and after inclusion/exclusion criteria were applied, a purposive sample of 98 information-rich articles was generated. Conceptual clarity and definitional understanding of TIC is lacking in the literature, which has led to poor operationalization of TIC. Additionally, infrastructural and ideological barriers, such as insufficient funding and service provider "buy-in," have hindered TIC implementation. The resulting conceptual framework defines trauma and depicts critical elements of vertical TIC, including the bidirectional relationship between the trauma-affected individual and the system, and horizontal TIC, which requires intersectoral collaboration, an established referral network, and standardized TIC language. CONCLUSIONS: Successful operationalization of TIC requires policies that address current gaps in systems arrangements, such as the lack of funding structures for TIC, and political factors, such as the role of policy legacies. The emergent conceptual framework acknowledges critical factors affecting operationalization.

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.

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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.392
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

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

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 head0.134
GPT teacher head0.391
Teacher spread0.257 · 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