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Enregistrement W4281784569 · doi:10.1136/bmjebm-2022-podabstracts.18

63 The utility of routine point-of-care prenatal urine dipstick screening at a primary care clinic in Edmonton, Canada

2022· article· en· W4281784569 sur OpenAlexaffabout
Nila Suthaker, Roni Kraut, Kaili Hoffart

Notice bibliographique

RevueAbstracts · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueUrinary Tract Infections Management
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineDipstickGestational diabetesPopulationOutpatient clinicPrenatal careUrinalysisObstetricsPoint of carePregnancyPediatricsGestationUrineInternal medicineNursing

Résumé

récupéré en direct d'OpenAlex

<h3>Objective</h3> The point-of-care urine dipstick has long been a standard at prenatal appointments to screen pregnant women for pre-eclampsia, gestational diabetes, and asymptomatic bacteriuria. However, this practice is based on little evidence, and the clinical utility of the point-of-care dipstick is unclear. Some guidelines now recommend against its use, including the 2017 US Preventive Services Task Force guidelines (pre-eclampsia screening); the 2015 National Institute for Health and Care Excellence (diabetes screening); and the 2020 Canadian Society of Obstetricians and Gynecologists Choosing Wisely (diabetes, pre-eclampsia, and asymptomatic bacteriuria). Our objective was to determine the benefits and the direct costs of routine urine dipsticks in a population of low-risk pregnant women affiliated with a primary care clinic in Edmonton, Alberta. <h3>Method</h3> Retrospective chart review. Women affiliated with the primary care clinic who had at least one prenatal appointment at the primary care clinic between October 1, 2020, and December 1, 2021, were included. Their electronic medical record was reviewed for urine dipstick results; if there were positive results for protein or glucose (&gt;negative), their chart was reviewed further for follow-up. Siemens Uristix Reagent Strips were used for urinalysis; glucose sensitivity 5.5–111 mmol/L, and protein sensitivity trace-20 g/L. The outcome was to assess the benefit of this intervention (diagnosis of pre-eclampsia, gestational diabetes, and asymptomatic bacteriuria) and the direct cost of this intervention to the clinic (urine dipstick equipment and clinic staff time). <h3>Results</h3> There were 135 low-risk pregnant women who attended at least one prenatal visit at the primary care clinic between October 1, 2020, and December 1, 2021; in total, these women had 327 urine dipsticks. Seven of the 327 urine dipsticks (n = 5 women) were positive for glucose (median 5.5 mmol/L, interquartile range 5.5–10 mmol/L). Two of these women had additional testing for diabetes (gestational diabetes screen), and both were negative. Seventy-eight of the 327 urine dipsticks (n = 61 women) were positive for proteinuria (median trace, interquartile range trace-trace). All these women had blood pressures ≤140/90. Ten of these women had additional testing for bacteriuria (urinalysis); two were positive, and both of these women were treated with a 5-day course of cefixime. The direct cost to the clinic of the 327 urine dipsticks was approximately $1300 CND. <h3>Conclusion</h3> There was minimal benefit of using routine point-of-care urine dipsticks in low-risk pregnant women affiliated with this primary care clinic. Two additional women (1.5% of women) were diagnosed with asymptomatic bacteriuria, but there is insufficient evidence to suggest that treatment of this in pregnancy is beneficial (2019 Cochrane systematic review). In addition, the use of point-of-care urine dipsticks incurred additional costs to the clinic. These results reinforce the recommendations against using point-of-care urine dipsticks to screen low-risk pregnant women. Clinics still using point-of-care urine dipsticks routinely to screen low-risk pregnant women should evaluate whether this is beneficial to their practice.

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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,037
Score d'incertitude au seuil0,837

Scores Codex et Gemma par catégorie

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

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 Opus0,015
Tête enseignante GPT0,250
Écart entre enseignants0,235 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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'admission2
Résumé présentoui

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