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Record W3026041511 · doi:10.1016/j.midw.2020.102749

Understanding hypermobile Ehlers-Danlos syndrome and Hypermobility Spectrum Disorders in the context of childbearing: An international qualitative study

2020· article· en· W3026041511 on OpenAlexaboutno aff
Sally Pezaro, Gemma Pearce, Emma Reinhold

Bibliographic record

VenueMidwifery · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Ehlers–Danlos syndromeAnxietyMedicineQualitative researchNarrative inquiryThematic analysisAffect (linguistics)Hypermobility (travel)PsychologyPsychiatryNarrativePhysical therapySurgerySociology

Abstract

fetched live from OpenAlex

OBJECTIVE: The Ehlers-Danlos syndromes (EDS) and Hypermobility Spectrum Disorders (HSD) have profound and life-threatening consequences in childbearing as they affect connective tissues throughout the body. Hypermobile EDS (hEDS) and HSD are estimated here for the first time to affect 6 million (4.6%) pregnancies globally per year. The aim of this study was to arrive at a deeper biopsychosocial understanding of childbearing in the context of hEDS/HSD. METHODS: English speaking women aged over 18 years who had previously given birth and had a confirmed medical diagnosis of hEDS/HSD or equivalent diagnosis under a preceding nosology were included in this study (n=40). Narrative interviews were used to collect qualitative data from this international sample of participants. Thematic narrative analysis was used to understand how participants made sense of their experiences. FINDINGS: Participants were aged between 25 and 55. Births (n= 52) between 1981 and 2018 were captured across United Kingdom=29 (73%), United States of America=10 (25%) and Canada=1 (2%). The majority of participants interviewed recounted a worsening of symptoms during pregnancy and postnatal complications. Anaesthesia was often reportedly ineffective, and for many, long latent phases of labour quickly developed into rapidly progressing active labours and births. Maternity staff were observed to be panicked by these unexpected outcomes and were deemed to lack the knowledge and understanding of how to care for women in this context. Poor maternity care resulted in women disengaging from services, trauma, stress, anxiety and an avoidance of future childbearing. KEY CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Cases of hEDS/HSD should no longer be considered rare in maternity services. Maternity staff must be adequately prepared for this new reality. As a first step, www.hEDSTogether.com has been developed to provide a repository of evidence in relation to this topic, along with a freely downloadable toolkit for use in practice. It is important to listen, acknowledge and respond to women with hEDS/HSD appropriately throughout their childbearing journey. Dismissal can lead to trauma and needless morbidity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.108
GPT teacher head0.361
Teacher spread0.253 · 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 designObservational
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

Citations23
Published2020
Admission routes1
Has abstractyes

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