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Record W4406116372 · doi:10.29063/ajrh2024/v28i12.2

Patient and provider perspectives on pain management during manual vacuum aspiration

2024· article· en· W4406116372 on OpenAlexfundno aff
Stephen Gwer, Karlheinz Tondo Samenjo, Robert C. Bailey, Javan L. Imbamba, Stella Odenyo, Erin Koksal, Jan Carel Diehl, Aparna Ramanathan

Bibliographic record

VenueAfrican Journal of Reproductive Health · 2024
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsnot available
FundersUniversity of Illinois at ChicagoUniversity of Illinois at Urbana-ChampaignGrand Challenges Canada
KeywordsVacuum aspirationMedicineRandomized controlled trialPain reliefPain managementPatient satisfactionSyringeMedical emergencyHealth carePhysical therapyNursingAnesthesiaSurgeryFamily planningPopulationResearch methodology

Abstract

fetched live from OpenAlex

Manual vacuum aspiration (MVA) is a painful procedure often conducted without analgesia. The World Health Organization (WHO) recommends a paracervical block (PCB) as the mode of pain relief during MVA. Few studies have assessed patient perspectives on pain control during MVA. We investigated the perspectives of health workers and patients on MVA under PCB. This study was nested within a pilot randomized controlled trial (RCT) evaluating the Chloe SED (syringe extension device) for PCB provision. Eleven providers and 61 patients were enrolled. All providers had MVA experience. They had not provided pain relief on 20% of occasions, and only one had previously administered PCB for MVA. Both patients and providers indicated MVA was painful and deserving of analgesia. Pain was the most common reason for difficulty completing an MVA. Providers noted that PCB made the procedure more tolerable. For patients, efficacy, remaining conscious, and same-day discharge were key considerations when selecting pain relief. Notably, 84% of patients expressed satisfaction with MVA under PCB. PCB is a vital component of the MVA care package. Considering patient and provider perspectives is essential to optimizing a humane and effective procedural experience.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.016
GPT teacher head0.303
Teacher spread0.287 · 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 designOther design
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

Citations0
Published2024
Admission routes1
Has abstractyes

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