↓ Skip to main content

Effect of a patient’s psychiatric history on physicians’ estimation of probability of disease

Overview of attention for article published in Journal of General Internal Medicine, March 2000
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
6 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
101 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Effect of a patient’s psychiatric history on physicians’ estimation of probability of disease
Published in
Journal of General Internal Medicine, March 2000
DOI 10.1046/j.1525-1497.2000.04399.x
Pubmed ID
Authors
Abstract

A questionnaire was mailed to 300 Iowa family physicians to determine the influence of a prior psychiatric history on decision making. The response rate was 77%. Respondents were less likely to believe that a patient had serious illness when presenting with a severe headache or abdominal pain if the patient had a prior history of depression ( P <.05) or prior history of somatic complaints ( P <. 05), compared with a patient with no past history. Respondents were less likely to report that they would order testing for a patient with headache or abdominal pain if the patient had a history of depression ( P <.05, P =.08, respectively) or somatic complaints ( P <.01). Differences in likelihood of ordering tests were not significant after adjusting for differences in estimated probability of disease. We conclude that physicians respond differently to patients with psychiatric illness because of their estimation of pretest probability of disease rather than bias. We conclude that past psychiatric history influences physicians' estimation of disease presence and willingness to order tests.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 3%
New Zealand 1 <1%
Colombia 1 <1%
Unknown 96 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 18 18%
Student > Ph. D. Student 15 15%
Researcher 14 14%
Student > Bachelor 11 11%
Student > Doctoral Student 9 9%
Other 21 21%
Unknown 13 13%
Readers by discipline
Readers by discipline Count As %
Psychology 27 27%
Medicine and Dentistry 22 22%
Social Sciences 12 12%
Economics, Econometrics and Finance 6 6%
Decision Sciences 5 5%
Other 15 15%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 05 September 2021.
All research outputs
#2,343,460
of 34,185,767 outputs
Outputs from Journal of General Internal Medicine
#1,648
of 9,960 outputs
Outputs of similar age
#2,231
of 60,542 outputs
Outputs of similar age from Journal of General Internal Medicine
#2
of 17 outputs
Altmetric has tracked 34,185,767 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has done well, scoring higher than 83% 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 60,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.