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Record W2896205141 · doi:10.1080/0167482x.2018.1518421

Moving toward a better understanding of the experience and measurement of breastfeeding-related pain

2018· article· en· W2896205141 on OpenAlexafffundabout
Kimberley T. Jackson, Sheila O’Keefe-McCarthy, Tara Mantler

Bibliographic record

VenueJournal of Psychosomatic Obstetrics & Gynecology · 2018
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsBrock UniversityWestern University
FundersMcGill UniversityWorld Health Organization
KeywordsBreastfeedingMedicineQualitative researchPostpartum periodMcGill Pain QuestionnaireNursingPsychologyClinical psychologyPhysical therapyPregnancyPediatrics

Abstract

fetched live from OpenAlex

Purpose: Despite how commonly breastfeeding-related pain is experienced in the postpartum period, and its frequent implication in breastfeeding cessation, this unique type of pain is not well evaluated nor assessed. The purpose of this study was to gain a comprehensive description and understanding of breastfeeding-related pain among postpartum breastfeeding women.Methods: This study employed a mixed methods approach using a descriptive-interpretive qualitative approach, in addition to administering the Short-Form McGill Pain Questionnaire, second version, to comprehensively gain both quantitative and qualitative descriptors of breastfeeding-related pain. Fourteen partnered and educated women living in Southern Ontario with experience of breastfeeding-related pain took part in this study.Results: The results from this study suggest that breastfeeding-related pain is often experienced as severe and distressing, and comprises various elements of pain including continuous, intermittent, neuropathic, and affective components.Conclusion: Breastfeeding-related pain is multidimensional and can be severe and distressing for women. Current measurement tools may not adequately reflect the multidimensional components of this unique type of pain, which may limit the effectiveness of health care providers to help with its identification and management.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.865

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.051
GPT teacher head0.297
Teacher spread0.246 · 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

Citations16
Published2018
Admission routes3
Has abstractyes

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