↓ Skip to main content

Understanding type 2 diabetes mellitus screening practices among primary care physicians: a qualitative chart-stimulated recall study

Overview of attention for article published in BMC Primary Care, April 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
119 Mendeley
Title
Understanding type 2 diabetes mellitus screening practices among primary care physicians: a qualitative chart-stimulated recall study
Published in
BMC Primary Care, April 2017
DOI 10.1186/s12875-017-0623-3
Pubmed ID
Authors

Dina Hafez, Daniel B. Nelson, Evan G. Martin, Alicia J. Cohen, Rebecca Northway, Jeffrey T. Kullgren

Abstract

Early diagnosis and treatment of prediabetes and type 2 diabetes mellitus (T2DM) can prevent future health problems, yet many individuals with these conditions are undiagnosed. This could be due, in part, to primary care physicians' (PCP) screening practices, about which little is known. The objectives of this study were to identify factors that influence PCPs' decisions to screen patients for T2DM and to characterize their interpretation and communication of screening test results to patients. We conducted semi-structured chart-stimulated recall interviews with 20 University of Michigan Health System (UMHS) primary care physicians. PCPs were asked about their recent decisions to screen or not screen 134 purposively sampled non-diabetic patients who met American Diabetes Association criteria for screening for T2DM. Interviews were audio-recorded, transcribed, and analyzed using qualitative directed content analysis. Data on patient demographic characteristics and comorbidities were abstracted from the electronic health record. The most common reasons PCPs gave for not screening 63 patients for T2DM were knowledge of a previously normal screening test (49%) and a visit for reasons other than a health maintenance examination (48%). The most common reasons PCPs gave for screening 71 patients for T2DM were knowledge of a previously abnormal screening test (49%), and patients' weight (42%) and age (38%). PCPs correctly interpreted 89% of screening test results and communicated 95% of test results to patients. Among 24 patients found to have prediabetes, PCPs usually (58%) recommended weight loss and increased physical activity but never recommended participation in a Diabetes Prevention Program or use of metformin. Previous screening test results, visit types, and patients' weight and age influenced PCPs' decisions to screen for T2DM. When patients were screened, test results were generally correctly interpreted and consistently communicated. Recommendations to patients with prediabetes could better reflect evidence-based strategies to prevent T2DM.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 17%
Researcher 16 13%
Student > Bachelor 13 11%
Student > Ph. D. Student 11 9%
Student > Doctoral Student 6 5%
Other 17 14%
Unknown 36 30%
Readers by discipline Count As %
Medicine and Dentistry 32 27%
Nursing and Health Professions 17 14%
Social Sciences 7 6%
Psychology 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 12 10%
Unknown 42 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 June 2017.
All research outputs
#6,334,439
of 25,382,440 outputs
Outputs from BMC Primary Care
#791
of 2,359 outputs
Outputs of similar age
#93,879
of 323,891 outputs
Outputs of similar age from BMC Primary Care
#16
of 30 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,891 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.