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Record W2915608311 · doi:10.2196/cancer.9798

Benefit of Watching a Live Visual Inspection of the Cervix With Acetic Acid and Lugol Iodine on Women’s Anxiety: Randomized Controlled Trial of an Educational Intervention Conducted in a Low-Resource Setting

2019· article· en· W2915608311 on OpenAlexvenueno aff
Roxane Camail, Bruno Kenfack, Phuong Lien Tran, Manuela Viviano, Pierre Marie Tebeu, Liliane Temogne, Mohamed Akaaboune, Eveline Tincho, Joel Mbobda, Rosa Catarino, Pierre Vassilakos, Patrick Petignat

Bibliographic record

VenueJMIR Cancer · 2019
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
FundersHôpitaux Universitaires de Genève
KeywordsRandomized controlled trialAnxietyIntervention (counseling)CervixIodineVisual inspectionMedicinePsychologyNursingPsychiatryComputer scienceInternal medicineMaterials scienceArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Women undergoing pelvic examination for cervical cancer screening can experience periprocedural anxiety. OBJECTIVE: The aim of this study was to assess the anxiety level experienced by women undergoing a visual inspection with acetic acid and Lugol iodine (VIA and VILI) examination, with or without watching the procedure on a digital screen. METHODS: This prospective randomized study took place in the district of Dschang, Cameroon. A previous cervical cancer screening campaign tested women aged between 30 and 49 years for human papillomavirus (HPV). HPV-positive women were invited for the 12-month follow-up control visit, including a VIA/VILI examination. During that visit, we recruited women to participate in this study. Before the examination, participants were randomized in a 1:1 ratio to a control group (CG) and an intervention group (IG). Women in both groups underwent a pelvic examination and were verbally informed about the steps undertaken during the gynecological examination. The IG could also watch it live on a tablet screen. Women's anxiety was assessed before and immediately after the examination, using the Spielberger State-Trait Anxiety Inventory (STAI). A paired t test was used to compare the mean STAI score for each question before and after VIA/VILI while a nonpaired, 2-sided t test was used to compare the mean differences of the STAI score between the 2 study groups. RESULTS: A total of 122 women were randomized in the study; 4 of them were excluded as they did not undergo the pelvic examination, did not answer to the second STAI questionnaire because of personal reasons, or the cervix could not be properly visualized. Thus, the final sample size consisted of 118 patients of whom 58 women were assigned to the CG and 60 to the IG. The mean age was 39.1 (SD 5.2) years. Before the examination, the mean (SD) STAI score was 33.6 (SD 10.9) in the CG and 36.4 (SD 11.8) in the IG (P=.17). The STAI score after pelvic examination was significantly reduced for both groups (CG: 29.3 [SD 11.2]; IG: 28.5 [SD 12.0]). Overall, the difference of the STAI scores before and after the pelvic examination was lower in the CG (4.2 [SD 9.0]) than in the IG (7.9 [SD 14.3]), although the difference was not significant (P=.10). However, the women's emotional state, such as I feel secure and I feel strained, was improved in the IG as compared with the CG (CG: P=.01; IG: P=.007). CONCLUSIONS: Watching the VIA/VILI procedure in real time improved the women's emotional state but did not reduce the periprocedural anxiety measured by the STAI score. Furthermore, larger studies should assess women's satisfaction with watching their pelvic examination in real time to determine whether this tool could be included in VIA/VILI routine practice. TRIAL REGISTRATION: ClinicalTrials.gov NCT02945111; http://clinicaltrials.gov/ct2/show/NCT02945111.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.008
GPT teacher head0.324
Teacher spread0.316 · 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.

Study designRandomized trial
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

Citations3
Published2019
Admission routes1
Has abstractyes

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