Evidence map›Paper›PMID 37551260›Full record

ArticlePediatric quality & safety

Quality Improvement to Eliminate Disparities in Developmental Screening for Patients Needing Interpreters.

Courtney M Brown, Beth Dillon, Christina Toth, Emily Decker, Robin N Alexander, Aarti R Chandawarkar, Stefanie Bester, Elizabeth Ricket, Dane A Snyder

Abstract read
In one paragraph

Article in Pediatric quality & safety. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Courtney M BrownFrom the Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio.
Beth DillonFrom the Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio.
Christina TothCenter for Clinical Excellence, Nationwide Children's Hospital, Columbus, Ohio.
Emily DeckerFrom the Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio.
Robin N AlexanderCenter for Biostatistics, The Ohio State University, Columbus, Ohio.
Aarti R ChandawarkarFrom the Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio.
Stefanie BesterFrom the Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio.
Elizabeth RicketFrom the Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio.
Dane A SnyderFrom the Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children from households with a preferred language other than English are less likely to receive timely identification and treatment for developmental delay than children of native English speakers. In dismantling this inequity, the role of primary care pediatrics is to establish equitable systems for screening and referral. This project, conducted in a network of twelve pediatric primary care centers, focused on eliminating a small but systematic disparity in developmental screening rates between families who did and did not require interpreters (86% versus 92%). The specific aim was to increase developmental screen completion among patients needing interpreters from 86% to 92% of age-appropriate well-child visits. Methods: Data were extracted from the electronic health record (EHR) to measure the proportion of 9-, 18-, 24-, and 30-month well-child visits at which developmental screens were completed, stratified by interpreter need (n = 31,461 visits; 7500 needing interpreters). One primary care center tested small changes to standardize processes, eliminate workarounds, and leverage EHR features using the Institute for Healthcare Improvement's Model for Improvement. The QI team plotted screen completion on control charts and spread successful changes to all 12 clinics. Statistical process control evaluated the significance of changes in screening rates. Results: For patients needing interpreters, screen completion rose across all clinics from 86% to 93% when the clinics implemented the new process. Screen completion for patients not needing interpreters remained at 92%. Conclusion: A standardized process supported by the EHR improved developmental screening among patients needing interpreters, eliminating disparities.

Identifiers

PMID37551260
PMCPMC10402961

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.