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Record W4291015300 · doi:10.1017/s1049023x22001133

A Qualitative Longitudinal Study of Injuries and Medical Care, Assistance, and Losses Recounted by Oklahoma City Bombing Survivors after Nearly a Quarter Century

2022· article· en· W4291015300 on OpenAlexaboutno aff
Carol S. North, Katy McDonald, Alina Surís

Bibliographic record

VenuePrehospital and Disaster Medicine · 2022
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsnot available
FundersNational Institute of Mental HealthNational Institutes of Health
KeywordsTerrorismQuarter (Canadian coin)PsychologyQualitative researchMedicineMedical emergencyHistory

Abstract

fetched live from OpenAlex

INTRODUCTION: Terrorist incidents occur with alarming frequency. Much is known about acute injuries and psychopathology arising from terrorism, as well as medical care and functional status assessed in early post-disaster periods. Survivors' memories of these experiences may change over subsequent decades, and their perspectives may evolve. Little information is available on how survivors describe these experiences decades later. STUDY OBJECTIVE: This longitudinal qualitative study of directly-exposed survivors of the 1995 Oklahoma City bombing was conducted nearly a quarter century after the disaster. It collected systematic, open-ended descriptions of survivors' injuries and medical care, assistance received and given, and disaster-associated losses. It sought to illuminate whether survivors recall long-term consequences of disaster exposure so long after the event, providing important details with great clarity and associated emotion, or alternatively lose memory and sharpness of recollection for these aspects of their bombing experience. METHODS: A sample of 182 bombing survivors was randomly recruited from a state registry of 1,092 bombing survivors and interviewed at approximately six months after the bombing (71% participation). The sample was re-interviewed an average of 23 years after the disaster (72% follow-up participation) using an open-ended interview with survivors describing in their own words their personal experience of the bombing and its effects on their lives. The interviews were audio recorded and professionally transcribed. Themes were identified in the text of the interviews, and passages were coded using qualitative software, achieving excellent inter-rater reliability for each theme. This article covers three of twelve total themes identified. RESULTS: Nearly a quarter century after the bombing, this highly trauma-exposed Oklahoma City bombing survivor sample had memories that were still vivid, graphic, and evocative. They described injuries and medical care, assistance given and received, and losses with great detail and intensity. Despite the continuing strong emotions expressed by these survivors in relation to the bombing, the qualitative content suggested that lasting psychopathology was not a central concern. CONCLUSION: This is one of the longest prospective longitudinal, qualitative studies ever conducted with highly trauma-exposed survivors of a terrorist bombing. These findings are critical to disaster emergency response and effective management of the disaster response and early care for the survivors, as the effects of the disaster may shape the rest of their lives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.004
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.384
Teacher spread0.346 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2022
Admission routes1
Has abstractyes

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