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The Experiences and Challenges of Pregnant Women Coping with Thrombophilia.

2006· article· en· W2580375015 on OpenAlexaffabout
Jessica Emed, Tanya Z. Martens, Susan R. Kahn

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsThrombophiliaMedicinePregnancyObstetricsPlacental abruptionAntiphospholipid syndromeReferralPreeclampsiaThrombosisGestationFamily medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Background and Objectives: Pregnancy may be adversely affected by thrombophilia via venous thromboembolism-induced morbidity and mortality or via gestational vascular complications such as fetal loss or preeclampsia. Women with thrombophilia are often prescribed heparin for daily self-injection during pregnancy. The purpose of this study was to explore the unique experiences, challenges, and coping strategies of pregnant women with thrombophilia who are on daily heparin injections. Study Methods: A qualitative, descriptive approach with semi-structured, individual interviews was used. Women with thrombophilia followed at the Thrombosis Clinic of a large university affiliated hospital in Quebec, Canada who were prescribed heparin during pregnancy and who were pregnant at the time of the study or within the last 12 months were eligible. Interviews lasting 45 minutes performed by a trained graduate nursing student were conducted with each participant. Thematic analysis was used throughout the processes of interviewing, transcribing verbatim, and categorizing the data. Results: Nine women (age range 30–36) participated in the study. Four participants had antiphospholipid antibody syndrome, three had the lupus anticoagulant, one had Factor V Leiden and one had Protein S deficiency. For all participants, the diagnosis of thrombophilia was made via blood testing after referral to Clinic for evaluation of multiple early pregnancy losses, late pregnancy losses, or other serious pregnancy complications. None had previous venous thromboembolic events. Four main themes were identified based on analysis of the interview transcripts: the emotional impact of diagnosis and treatment of thrombophilia, which was influenced by past pregnancy experiences as well as the experiences of others; the need for professional support, particularly concerning medical decision-making regarding whether to choose treatment in certain cases, but also with regards to information, injection technique, and emotional needs; uncertainty vis-à-vis treatment outcomes; and successful coping strategies such as taking control and maintaining perspective. Conclusions: This qualitative research shows that, during pregnancy, coping with thrombophilia and daily heparin injections can be a stressful experience. However, the ensuing challenges are perceived as manageable discomforts in light of the outcome of a healthy baby. Implications for health professionals include providing written information to complement explanations given during appointments, standardization of self-injection teaching, establishing peer networks among women who have had similar experiences, and follow-up with a nurse, who can provide ongoing support around coping with uncertainty and the stress of self-injection, revisit the information given, and provide emotional support and referral, if needed. Greater standardization of physician decision making regarding the need for thrombophilia screening and anticoagulation may also be beneficial, since differences in physicians’ approaches across institutions was reported by participants as a source of stress. Nurses, in collaboration with physicians, are in a key position to enhance the quality of care to this population. Further research should evaluate a standardized program based on interventions suggested by this study.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.243
Teacher spread0.219 · 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

Citations1
Published2006
Admission routes2
Has abstractyes

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