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Record W1982101693 · doi:10.1136/ebn.8.2.59

Mothers with post-traumatic stress disorder after traumatic childbirth struggled to survive and experienced nightmares, flashbacks, anger, anxiety, depression, and isolation

2005· letter· en· W1982101693 on OpenAlexaff
Susan M. Jack

Bibliographic record

VenueEvidence-Based Nursing · 2005
Typeletter
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsChildbirthTraumatic stressAnxietyPsychiatryPsychologyMedicineDepression (economics)AngerPregnancy

Abstract

fetched live from OpenAlex

Beck CT. Post-traumatic stress disorder due to childbirth: the aftermath. Nurs Res 2004;53:216–24.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What is the essence of mothers’ experiences of post-traumatic stress disorder (PTSD) after traumatic births? Descriptive phenomenology. A website hosted in New Zealand. 38 mothers (mean age 33 y, 32% primipara) from 4 countries (New Zealand, United States, Australia, and United Kingdom) who had experienced PTSD attributable to birth trauma (women reported that the diagnosis was made by a healthcare professional) and were willing to articulate their experiences. Length of time from birth trauma to study participation ranged from 6 weeks to 14 years. Women were recruited through Trauma and Birth Stress, a charitable trust in New Zealand founded to support women who had experienced birth trauma and to educate healthcare professionals and the general public about PTSD after childbirth. Women were asked to describe in writing their experiences of PTSD after childbirth in as much detail as they wished. 2 women hand wrote and sent their stories by post; 36 submitted their stories as email attachments. The phenomenological analysis involved reading and rereading participants’ descriptions of PTSD after traumatic birth to describe the essence of the phenomenon, formulating the … [1]: {openurl}?query=rft.jtitle%253DNursing%2Bresearch%26rft.stitle%253DNurs%2BRes%26rft.aulast%253DBeck%26rft.auinit1%253DC.%2BT.%26rft.volume%253D53%26rft.issue%253D4%26rft.spage%253D216%26rft.epage%253D224%26rft.atitle%253DPost-traumatic%2Bstress%2Bdisorder%2Bdue%2Bto%2Bchildbirth%253A%2Bthe%2Baftermath.%26rft_id%253Dinfo%253Adoi%252F10.1097%252F00006199-200407000-00004%26rft_id%253Dinfo%253Apmid%252F15266160%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1097/00006199-200407000-00004&link_type=DOI [3]: /lookup/external-ref?access_num=15266160&link_type=MED&atom=%2Febnurs%2F8%2F2%2F59.atom [4]: /lookup/external-ref?access_num=000222950600004&link_type=ISI

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)0.001
metaresearch head score (Gemma)0.003
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 score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.312
Teacher spread0.291 · 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".

Quick stats

Citations4
Published2005
Admission routes1
Has abstractyes

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