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Record W6981696866

Evaluation de la qualité de vie des femmes souffrant d’une fistule obstétricale à Kinshasa [Evaluation of the quality of life of women with obstetric fistula in Kinshasa]

2023· article· fr· W6981696866 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languagefr
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)PopulationVaginal fistulaFistulaSocial life
DOInot available

Abstract

fetched live from OpenAlex

Fench Abstract : Introduction-La fistule obstétricale est un problème majeur de santé maternelle qui affecte considérablement les femmes sous l’angle tant physique que mental. L’objectif de ce travail était d’évaluer la qualité de vie des femmes souffrant de la fistule obstétricale et d’identifier les facteurs sociodémographiques. Matériels et méthodes -Nous avons recouru à la méthode d’enquête appuyée par l’échelle de la qualité de vie de McGill que nous avons administrée à un échantillon de 56 femmes souffrant d’une fistule obstétricale prises en charge à la Fistula Clinic de Kinshasa. Résultats -L’échantillon d’étude est constitué de 20 femmes âgées de moins de 30 ans, 15 âgées de 30-39 ans et 21 âgées de 40-49 ans. On retrouve également 6 femmes analphabètes, 20 diplômées d’Etat, 16 graduées (bac+3) et 14 licenciées (bac+5). Sous l’angle de l’état-civil, on a 30 mariées, 16 divorcées et 10 célibataires. Enfin, il y a 7 femmes qui n’ont pas connu de césarienne, 40 ont eu une césarienne et 9 ont eu deux césariennes. Les variables âge et état-civil ont influencé chacune une dimension de la qualité de vie (p < 0,05). Les résultats de l’étude indiquent que les femmes atteintes de la fistule obstétricale font preuve d’un état de mal-être général prononcé (Moyenne = 1,00 ; Ecart-type= 0,00) et d’un sentiment de mal-être psychologique (Moyenne= 2,40 ; Ecart-type = 1,15). Elles éprouvent un fort sentiment de bien-être physique (Moyenne = 2,68 ; Ecart-type =0,77), existentiel (Moyenne = 2,80 ; Ecart-type =1,06) et social (Moyenne = 3,10 ; Ecart-type =0,92). Conclusion -la fistule obstétricale affecte négativement le bien-être général et psycho­logique des femmes prises en charge à la Fistula Clinic de Kinshasa. English Abstract: Background-Obstetric fistula is a major maternal health problem that significantly affects women both physically and mentally. The objective of the study was to assess the quality of life of women with obstetric fistula and to identify the socio-demographic factors. Methods - We used a survey method supported by the McGill Quality of Life Scale, which we administered to a sample of 56 women with obstetric fistula managed at the Fistula Clinic in Kinshasa. Results -In terms of socio-demographic variables, the study sample consisted of 20 women under the age of 30, 15 aged 30-39 and 21 aged 40-49. There are also 6 illiterate women, 20 state graduates, 16 graduates (baccalaureate +3) and 14 bachelor graduates (baccalau­reate+5). In terms of marital status, there are 30 married women, 16 divorced women and 10 single women. Finally, there are 7 women who have not had a caesarean section, 40 who have had a caesarean section and 9 who have had two caesareans. The variables age and marital status each influenced one dimension of quality of life (p < 0.05). Women with obs­tetric fistula show a high level of general unhappiness (Mean = 1.00; SD = 0.00) and a feeling of psychological unhappiness (Mean = 2.40; SD = 1.15). They have a strong sense of physical (Mean = 2.68; SD =0.77), existential (Mean = 2.80; SD =1.06) and social well-being (Mean = 3.10; SD =0.92). Conclusion -obstetric fistula negatively affects the general and psychological well-being of women treated at the Fistula Clinic in Kinshasa.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.461
GPT teacher head0.582
Teacher spread0.121 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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