Evidence map›Paper›PMID 35369413›Full record

ArticlePediatric quality & safety

Using Quality Improvement to Improve Identification and Documentation of Malnutrition in Hospitalized Pediatric Patients.

Shea T Osburn, Mary Towne-Merritt, Roberta Baranda, Rhonda M Keosheyan

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Shea T OsburnValley Children's Hospital, Madera, Calif.
Mary Towne-MerrittValley Children's Hospital, Madera, Calif.
Roberta BarandaValley Children's Hospital, Madera, Calif.
Rhonda M KeosheyanValley Children's Hospital, Madera, Calif.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent publications have highlighted the importance and impact of recognizing malnutrition in hospitalized children. After noting that patients with malnutrition frequently went unrecognized in our facility, we implemented an interprofessional intervention comprising hospital medicine physicians, dietitians, and the clinical documentation improvement team to improve recognition and documentation of malnutrition in these patients, thereby facilitating earlier intervention. Methods: We implemented three separate plan-do-study-act cycles to improve the identification and documentation of malnutrition among patients hospitalized at our facility. The cycles consisted of identifying malnutrition using z-scores, educating providers, and implementing smart text within the medical record to help with consistent documentation. In addition, real-time communication between the disciplines (nutrition services, clinical documentation improvement providers, and hospitalists) was also employed to improve documentation quality. After completing the plan-do-study-act cycles, charts were reviewed to evaluate the nutritional interventions received. Results: Baseline data revealed that only 13% of patients with z-scores indicative of malnutrition were identified as such in attending physicians' documentation. Upon implementation of our plan-do-study-act cycles, documentation of these patients increased to greater than 64%. Patients with documented malnutrition received nutritional interventions at least 81% of the time, increasing from 35% at baseline. Conclusion: Our findings demonstrate that an interprofessional approach can dramatically enhance the identification and documentation of malnutrition in hospitalized children, leading to earlier intervention.

Identifiers

PMID35369413
PMCPMC8970082

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.