Evidence map›Paper›PMID 27500343›Full record

ArticleObstetrics and gynecology2016

Accuracy of Home-Based Ultrasonographic Diagnosis of Obstetric Risk Factors by Primary-Level Health Care Workers in Rural Nepal.

Naoko Kozuki, Luke C Mullany, Subarna K Khatry, Ram K Ghimire, Sharma Paudel, Karin Blakemore, Christine Bird, James M Tielsch, Steven C LeClerq, Joanne Katz

Abstract read
In one paragraph

Article in Obstetrics and gynecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Naoko KozukiJohns Hopkins Bloomberg School of Public Health, and the Johns Hopkins Hospital, Baltimore, Maryland; the Nepal Nutrition Intervention Project-Sarlahi, Lalitpur, and Tribhuvan University Teaching Hospital, Kathmandu, Nepal; and George Washington University Milken Institute School of Public Health, Washington, DC.
Luke C Mullany
Subarna K Khatry
Ram K Ghimire
Sharma Paudel
Karin Blakemore
Christine Bird
James M Tielsch
Steven C LeClerq
Joanne Katz

Funding

Impact of Sunflower Oil Massage on Neonatal Mortality in NepalR01HD060712 · NICHD · JOHNS HOPKINS UNIVERSITY · PI MULLANY, LUKE C · 2009 to 2013
$2.9M
NICHD NIH HHS R01 HD060712
6 · The paper itself

Abstract

objectiveTo assess the feasibility of ultrasonographic task shifting by estimating the accuracy at which primary-level health care workers can perform community-based third-trimester ultrasound diagnosis for selected obstetric risk factors in rural Nepal.

methodsThree auxiliary nurse-midwives received two 1-week ultrasound trainings at Tribhuvan University Teaching Hospital in Kathmandu. At a study site in rural Nepal, pregnant women who were 32 weeks of gestation or greater were enrolled and received ultrasound examinations from the auxiliary nurse-midwives during home visits. Each auxiliary nurse-midwife screened for noncephalic presentation, multiple gestation, and placenta previa. Deidentified digital ultrasonograms were stored and uploaded onto an online server, where certified sonologists and ultrasonographers reviewed the images and made their own diagnoses for the three conditions. Accuracy of auxiliary nurse-midwife diagnoses was then calculated.

resultsA total of 804 women contributed to the analysis. Each auxiliary nurse-midwife's κ statistic for diagnosis of noncephalic presentation was above 0.90 compared with the ultrasonogram reviewers. Sensitivity, specificity, and positive and negative predictive values were between 90% and 100% for all auxiliary nurse-midwives. For multiple gestation, the auxiliary nurse-midwives were in perfect agreement with both the ultrasonogram reviewers and maternal postpartum self-report. Two placenta previa cases were detected, and the ultrasonogram reviewers agreed with both.

conclusionWith limited training, primary-level health care workers in rural Nepal can accurately diagnose selected third-trimester obstetric risk factors using ultrasonography.

Indexed as

AdultFeasibility StudiesFemaleHome Care ServicesHumansMaternal Health ServicesNepalNurse MidwivesPregnancyPregnancy ComplicationsPregnancy Trimester, ThirdRisk FactorsRural Health ServicesRural PopulationUltrasonography, PrenatalYoung Adult

Identifiers

PMID27500343
PMCPMC5028110

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.