Evidence map›Paper›PMID 33152002›Full record

ArticlePloS one2020

Processes and outcomes of diabetes mellitus care by different types of team primary care models.

Fangjian Guo, Yu-Li Lin, Mukaila Raji, Bruce Leonard, Lin-Na Chou, Yong-Fang Kuo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.7field-weighted citation impact, top 27% of its field
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, 13 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Fangjian GuoDepartment of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Yu-Li LinDepartment of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Mukaila RajiDepartment of Internal Medicine, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Bruce LeonardSchool of Nursing, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Lin-Na ChouDepartment of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Yong-Fang KuoCenter for Interdisciplinary Research in Women's Health, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.ORCID 0000-0003-1927-0927
The University of Texas Medical Branch at Galveston · US

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Assessing The Role of Nurse Practitioner in Primary Care of Older AdultsR01HS020642 · AHRQ · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KUO, YONG-FANG · 2012 to 2019
$1.4M
Genetic testing in young women for cancer preventionK07CA222343 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GUO, FANGJIAN · 2018 to 2022
$632k
AHRQ HHS R01 HS020642NCATS NIH HHS UL1 TR001439NCI NIH HHS K07 CA222343NIA NIH HHS P30 AG024832
6 · The paper itself

Abstract

backgroundTeam care improves processes and outcomes of care, especially for patients with complex medical conditions that require coordination of care. This study aimed to compare the processes and outcomes of care provided to older patients with diabetes by primary care teams comprised of only primary care physicians (PCPs) versus team care that included nurse practitioners (NPs) or physician assistants (PAs).

methodsWe studied 3,524 primary care practices identified via social network analysis and 306,741 patients ≥66 years old diagnosed with diabetes in or before 2015 in Medicare data. Guideline-recommended diabetes care included eye examination, hemoglobin A1c test, and nephropathy monitoring. High-risk medications were based on recommendations from the American Geriatrics Society Beers Criteria for Potentially Inappropriate Medication Use in Older Adults. Preventable hospitalizations were defined as hospitalizations for a potentially preventable condition.

resultsCompared with patients in the PCP only teams, patients in the team care practices with NPs or PAs received more guideline-recommended diabetes care (annual eye exam: adjusted odds ratio (aOR): 1.04 (95% CI: 1.00-1.08), 1.08 (95% CI: 1.03-1.13), and 1.10 (95% CI: 1.05-1.15), and HbA1C test: aOR: 1.11 (95% CI: 1.04-1.18), 1.11 (95% CI: 1.02-1.20), and 1.15 (95% CI: 1.06-1.25) for PCP/NP, PCP/NP/PA, and PCP/PA teams). Patients in the PCP/NP and the PCP/PA teams had a slightly higher likelihood of being prescribed high-risk medications (aOR: 1.03 (95% CI: 1.00-1.07), and 1.06 (95% CI: 1.02-1.11), respectively). The likelihood of preventable hospitalizations was similar among patients cared for by various types of practices.

conclusionThe team care practices with NPs or PAs were associated with better adherence to clinical practice guideline recommendations for diabetes compared to PCP only practices. Both practices had similar outcomes. Further efforts are needed to explore new and cost-effective team-based care delivery models that improve process, outcomes, and continuity of care, as well as patient care experiences.

Indexed as

Models, TheoreticalPrimary Health CareAgedDiabetes MellitusFemaleHumansMalePractice Patterns, Physicians'Social NetworkingTreatment Outcome

Identifiers

PMID33152002
PMCPMC7644045
OpenAlexW3095740737

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.