Evidence map›Paper›PMID 34844441›Full record

ArticleAmerican journal of health promotion : AJHP2022

Health Care Providers' Knowledge, Attitudes, and Practices and the Association With Referrals to the National Diabetes Prevention Program Lifestyle Change Program.

LaShonda R Hulbert, Xuanping Zhang, Boon Peng Ng, Kunthea Nhim, Tamkeen Khan, Michael J Cannon

Abstract read
In one paragraph

Article in American journal of health promotion : AJHP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

LaShonda R HulbertCyberData Technologies, Inc., Herndon, VA, USA.ORCID 0000-0003-0344-6908
Xuanping Zhang1242Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Boon Peng NgCollege of Nursing and Disability, Aging and Technology Cluster, 16087University of Central Florida, Orlando, FL, USA.
Kunthea Nhim1242Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Tamkeen KhanImproving Health Outcomes, 2445American Medical Association, Chicago, IL, USA.
Michael J Cannon1242Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine how health care providers' knowledge, attitudes, and practices affect their referrals to the National Diabetes Prevention Program.

designCross-sectional, self-report data from DocStyles-a web-based survey.

settingUSA. SAMPLE: Practicing family practitioners, nurse practitioners, pharmacists, and internists, MEASURES: Questions regarding health care providers' knowledge, attitudes, and practices and their referrals to the National Diabetes Prevention Program. ANALYSIS: Bivariate and multivariate analyses were used to calculate predictive margins and the average marginal effect.

resultsOverall, 15.2% of health care providers (

conclusionMaking referrals to the National Diabetes Prevention Program was associated with health care providers' knowledge of the program and its reported availability, their attitudes, and their use of the electronic health record system to manage patients with prediabetes.

Indexed as

Diabetes Mellitus, Type 2Health Knowledge, Attitudes, PracticeCross-Sectional StudiesHealth PersonnelHumansLife StyleReferral and Consultationchronic disease preventionhealth communicationhealth policyhealth system referralsinterventionslifestyle change programpre-diabetestype 2 diabetes

Identifiers

PMID34844441
PMCPMC8772255

What OpenQuestion holds

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LicenceCC BY-NC
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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.