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

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

Bibliographic record

VenueAbstracts · 2022
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineDipstickGestational diabetesPopulationOutpatient clinicPrenatal careUrinalysisObstetricsPoint of carePregnancyPediatricsGestationUrineInternal medicineNursing

Abstract

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<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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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 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".

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Citations0
Published2022
Admission routes2
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