Evidence map›Paper›PMID 33235968›Full record

ArticleBMJ nutrition, prevention & health2020

Integrating a diet quality screener into a cardiology practice: assessment of nutrition counseling, cardiometabolic risk factors and patient/provider satisfaction.

Jeannette Beasley, Paloma Sardina, Emily Johnston, Lisa Ganguzza, Jane Padikkala, Ashley Bagheri, Simon Jones, Eugenia Gianos

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Integrating Diet Screening Into Routine Clinical Care: The Time Is Now.Journal of the American Heart Association · 2023
    Article
  3. Training Medical Students in Diet Assessment and Brief Counseling.Advances in medical education and practice · 2021
    Article
  4. 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

8 authors.

Jeannette BeasleyDepartment of Medicine, NYU Langone Health, New York City, New York, USA.
Paloma SardinaDepartment of Medicine, NYU Langone Health, New York City, New York, USA.
Emily JohnstonDepartment of Nutritional Sciences, Pennsylvania State University, University Park, Pennsylvania, USA.
Lisa GanguzzaDepartment of Population Health, NYU Langone Health, New York City, New York, USA.
Jane PadikkalaDepartment of Population Health, NYU Langone Health, New York City, New York, USA.ORCID 0000-0003-3184-3572
Ashley BagheriDepartment of Population Health, NYU Langone Health, New York City, New York, USA.
Simon JonesDepartment of Population Health, NYU Langone Health, New York City, New York, USA.
Eugenia GianosDepartment of Medicine, NYU Langone Health, New York City, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe assessed factors related to the integration of an office-based diet quality screener: nutrition counselling, cardiometabolic risk factors and patient/physician satisfaction.

methodsWe evaluated the impact of a 10-item diet quality measure (self-rated diet quality question and a 9-item Mediterranean Diet Score (MDS)) prior to the cardiology visit on assessment of nutrition counselling, cardiometabolic risk factors and patient/provider satisfaction. Study staff trained the nine participating physicians on the purpose and use of the screener. To assess physician uptake of the diet quality screener, we reviewed all charts having a documented dietitian referral or visit and a 20% random sample of remaining participants that completed the screener at least once to determine the proportion of notes that referenced the diet quality screener and documented specific counselling based on the screener.

resultsBetween December 2017 and August 2018, 865 patients completed the diet quality screener. Mean age was 59 (SD 16) years, 54% were male and mean body mass index was 27.4 (SD 6.0) kg/m

conclusionIntegrating the screener into the electronic health record did not increase dietitian referrals, and improvements in screener scores were modest among the subset of patients completing multiple screeners. Future work could develop best practices for physicians in using diet quality screeners to allow for some degree of standardisation of nutrition referral and counselling received by the patients.

Indexed as

nutrition assessmentpreventive counselling

Identifiers

PMID33235968
PMCPMC7664487

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Registered trials

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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.