MétaCan
Menu
Retour à la cohorte
Enregistrement W4290963539 · doi:10.1016/s2214-109x(22)00314-x

Pragmatic estimations of obstetric fistula in Bangladesh

2022· letter· en· W4290963539 sur OpenAlexaff

Notice bibliographique

RevueThe Lancet Global Health · 2022
Typeletter
Langueen
DomaineMedicine
ThématiqueUreteral procedures and complications
Établissements canadiensWomen's Health Research Institute
Organismes subventionnairesnon disponible
Mots-clésMedicineMEDLINEObstetricsGeographyPolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

It is crucial to comprehend the scope of any health issue, particularly health needs assessments for effective health-care planning, especially in low-resource environments.1Wright J Williams R Wilkinson JR Development and importance of health needs assessment.BMJ. 1998; 316: 1310-1313Crossref PubMed Scopus (220) Google Scholar Although mortality from obstetric fistula in Bangladesh or other similar countries is not a concern, the condition carries health and social issues due to morbidity, disability, and social injustice, leading to abject quality of life.2USAID's Research for Decision MakersHow far is Bangladesh from eliminating obstetric fistula?.http://rdm.icddrb.org/how-far-is-bangladesh-from-eliminating-obstetric-fistula/Date accessed: June 30, 2022Google Scholar Therefore, having a reliable estimation of the magnitude of the obstetric fistula burden is essential for establishing an effective care strategy to manage it. As with many other diseases, identifying cases of obstetric fistula in a large community-based survey can be difficult. Verbal diagnosis using a series of signs and symptoms is frequently used to identify cases in household surveys; however, this method is incredibly limited in every instance. The Bangladesh Maternal Mortality and Health Care Survey's (BMMS)3National Institute of Population Research and TrainingInternational Centre for Diarrhoeal Disease Research, Bangladesh, MEASURE EvaluationBangladesh Maternal Mortality and Health Care Survey 2016: preliminary report.https://www.measureevaluation.org/resources/publications/tr-17-218.htmlDate accessed: June 29, 2022Google Scholar estimation of obstetric fistula uses some verbal questions to ascertain cases that lead to an overestimation of the prevalence of the condition. This confounds policy makers and programme planners to design a strategy for screening and clinical management of obstetric fistula cases. In The Lancet Global Health, Saifuddin Ahmed and colleagues offer a thorough analysis of the validated calculation of prevalence and burden of obstetric fistula in Bangladesh that makes use of the data from the national survey.4Ahmed S Curtis SL Jamil K et al.Obstetric fistula in Bangladesh: estimates from a national survey with clinical validation correction.Lancet Glob Health. 2022; 10: e1347-e1354Summary Full Text Full Text PDF PubMed Scopus (1) Google Scholar The authors used a novel method for reliable estimation of the prevalence of obstetric fistula that included an initial validation study in a population of 65 740 women, in which a survey questionnaire was followed by clinical examination of suspected cases; the use of estimated diagnostic values after correcting for verification bias; and the adjustment of the reported prevalence in the nationally representative survey, BMMS 2016.3National Institute of Population Research and TrainingInternational Centre for Diarrhoeal Disease Research, Bangladesh, MEASURE EvaluationBangladesh Maternal Mortality and Health Care Survey 2016: preliminary report.https://www.measureevaluation.org/resources/publications/tr-17-218.htmlDate accessed: June 29, 2022Google Scholar Other studies in this field can benefit from the clinical validation approaches for the credible estimation of obstetric fistula. The initial survey identified 67 potential cases of obstetric fistula; of them, 57 (85%) women completed the clinical examination, and 19 were confirmed as obstetric fistula cases. Ahmed and colleagues observed a low positive predictive value of 31·6% (95% uncertainty interval [UI] 19·2–46·2)in the validation study, suggesting that about two thirds of the self-reported cases were not actual obstetric fistula cases. According to Ahmed and colleagues’ other findings, actual obstetric fistula cases were accurately recognised by survey questions asked in the field, and true non-obstetric fistula cases were very unlikely to be misclassified as an obstetric fistula case (negative predictive value of 100% [approximately 100–100]). Obstetric fistula prevalence among women aged 15–49 years was reported to be 120 per 100 000 women (90% UI 108–134) in the nationwide survey, BMMS 2016. This prevalence rate was 38 per 100 000 women (25–58) after being adjusted for survey reporting validity. Overall, Ahmed and colleagues estimated that there are about 17 457 (90% UI 10 459–28 902) women aged 15–64 years living with obstetric fistula in Bangladesh, which is about a third of reported case estimation. Similar findings have been reported in other low-resource settings such as Ethiopia,5Ballard K Ayenachew F Wright J Atnafu H Prevalence of obstetric fistula and symptomatic pelvic organ prolapse in rural Ethiopia.Int Urogynecol J. 2016; 27: 1063-1067Crossref PubMed Scopus (22) Google Scholar Nepal,6Chen C Barry D Khatry SK et al.Validation of an obstetric fistula screening questionnaire in rural Nepal: a community-based cross-sectional and nested case-control study with clinical examination.BJOG. 2017; 124: 955-964Crossref PubMed Scopus (7) Google Scholar Nigeria,7Tuncalp O Isah A Landry E Stanton CK Community-based screening for obstetric fistula in Nigeria: a novel approach.BMC Pregnancy Childbirth. 2014; 14: 44Crossref PubMed Scopus (13) Google Scholar and India.8Swain D Parida SP Jena SK Das M Das H Prevalence and risk factors of obstetric fistula: implementation of a need-based preventive action plan in a South-eastern rural community of India.BMC Womens Health. 2020; 20: 40Crossref PubMed Scopus (10) Google Scholar Therefore, this paper offers some insight into how validation study findings might be applied to a reasonable estimation of certain health conditions that were determined in any national survey. However, it is important to do some cohort studies to estimate the incidence of obstetric fistula to help policy makers to design an efficient programme for clinical management of these cases routinely. Additionally, it is imperative to identify an effective community-based intervention for prevention of obstetric fistula as well as for detection, clinical care, and rehabilitation of existing cases. To help policy makers develop and deploy a comprehensive plan of action to fulfil the Government's commitment to eliminate obstetric fistula from Bangladesh, Ahmed and colleagues present a realistic estimate of the total number of cases. The plan will encompass finding these women who are quietly suffering in the community and bring them to facilities for quality management. More importantly, the strategy will concentrate on rehabilitation and reintegration of the women into society for a better quality of life. Ahmed and colleagues offer a methodological perspective for a pragmatic estimation of a health issue that not only applies to cases of obstetric fistula, but also to other situations that are similar. The study also conveys the message that the number of cases of obstetric fistula in Bangladesh assessed with questions from a large nationwide survey is more than three times higher than the estimate obtained with a clinically validated process. We declare no competing interests. Obstetric fistula in Bangladesh: estimates from a national survey with clinical validation correctionThe burden of obstetric fistula is still high in Bangladesh. Prevention and provision of surgical treatment to so many women will need coordinated efforts, planning, allocation of resources, and training of surgeons. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,075
Score d'incertitude au seuil0,473

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,358
Écart entre enseignants0,314 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Lancet Global HealthMême sujetUreteral procedures and complicationsTravaux en français237 207