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Avoiding diagnostic errors in psychosomatic medicine: a case series study

Overview of attention for article published in BioPsychoSocial Medicine, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Avoiding diagnostic errors in psychosomatic medicine: a case series study
Published in
BioPsychoSocial Medicine, March 2018
DOI 10.1186/s13030-018-0122-3
Pubmed ID
Authors

Atsuko Koyama, Yoichi Ohtake, Kanae Yasuda, Kiyohiro Sakai, Ryo Sakamoto, Hiromichi Matsuoka, Hirokuni Okumi, Toshiko Yasuda

Abstract

Non-organic lesions or diseases of unknown origin are sometimes misdiagnosed as "psychogenic" disorders or "psychosomatic" diseases. For the quality of life and safety of patients, recent attention has focused on diagnostic error. The aim of this study was to clarify the factors that affected misdiagnoses in psychosomatic medicine by examining typical cases and to explore strategies that reduce diagnostic errors. The study period was from January 2001 to August 2017. The data of patients who had visited the Department of Psychosomatic Medicine, Kindai University Hospital and its branches, Sakai Hospital and Nihonbashi Clinic, were collected. All patients were aged 16 years or over. Multiple factors, such as age, sex, presenting symptoms, initial diagnosis, final diagnosis, sources of re-diagnosis and types of diagnostic errors were retrospectively analyzed from the medical charts of 20 patients. Among them, four typical cases can be described as follows. Case 1; a 79-year-old woman, initially diagnosed with psychogenic vomiting due to depression that was changed to gastric torsion as the final diagnosis. Case 2; a 24-year-old man, diagnosed with an eating disorder that was later changed to esophageal achalasia. Case 10; a 60-year-old woman's diagnosis changed from conversion disorder to localized muscle atrophy. Case 19; a 68-year-old man, appetite loss from depression due to cancer changed to secondary adrenal insufficiency, isolated ACTH deficiency (IAD). This study showed that multiple factors related to misdiagnoses were combined and had a mutual influence. However, they can be summarized into two important clinical observations, diagnostic system-related problems and provider issues. Provider issues contain mainly cognitive biases such as Anchoring, Availability, Confirmation bias, Delayed diagnosis, and Representativeness. In order to avoid diagnostic errors, both a diagnostic system approach and the reduction of cognitive biases are needed. Psychosomatic medicine doctors should pay more attention to physical symptoms and systemic examination and can play an important role in accepting a perception of patients based on a good, non prejudicial patient/physician relationship.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 11%
Student > Bachelor 6 11%
Student > Ph. D. Student 5 9%
Professor > Associate Professor 4 8%
Researcher 4 8%
Other 11 21%
Unknown 17 32%
Readers by discipline Count As %
Medicine and Dentistry 17 32%
Psychology 7 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 2 4%
Neuroscience 2 4%
Other 1 2%
Unknown 22 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 December 2020.
All research outputs
#3,222,852
of 23,026,672 outputs
Outputs from BioPsychoSocial Medicine
#62
of 309 outputs
Outputs of similar age
#68,732
of 333,594 outputs
Outputs of similar age from BioPsychoSocial Medicine
#2
of 5 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 309 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 79% 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 333,594 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.