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Factors Influencing Antibiotic-Prescribing Decisions Among Inpatient Physicians: A Qualitative Investigation

Overview of attention for article published in Infection control and hospital epidemiology (Online), June 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
policy
2 policy sources
twitter
22 X users
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1 Facebook page

Readers on

mendeley
224 Mendeley
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Article details
Title
Factors Influencing Antibiotic-Prescribing Decisions Among Inpatient Physicians: A Qualitative Investigation
Published in
Infection control and hospital epidemiology (Online), June 2015
DOI 10.1017/ice.2015.136
Pubmed ID
Authors
Abstract

OBJECTIVE To understand the professional and psychosocial factors that influence physician antibiotic prescribing habits in the inpatient setting. DESIGN We conducted semi-structured interviews with 30 inpatient physicians. Interviews consisted of open-ended questions and flexible probes based on participant responses. Interviews were audio recorded, transcribed, de-identified, and reviewed for accuracy and completeness. Data were analyzed using emergent thematic analysis. SETTING Two teaching hospitals in Indianapolis, Indiana PARTICIPANTS A total of 30 inpatient physicians (10 physicians-in-training, 20 supervising staff) were enrolled in this study. RESULTS Participants recognized that antibiotics are overused, and many admitted to prescribing antibiotics even when the clinical evidence of infection was uncertain. Overprescription was largely driven by anxiety about missing an infection, whereas potential adverse effects of antibiotics did not strongly influence decision making. Participants did not routinely disclose potential adverse effects of antibiotics to inpatients. Physicians-in-training were strongly influenced by the antibiotic prescribing behavior of their supervising staff physicians. Participants sometimes questioned their colleagues' antibiotic prescribing decisions, but they frequently avoided providing direct feedback or critique. These physicians cited obstacles of hierarchy, infrequent face-to-face encounters, and the awkwardness of these conversations. CONCLUSION A physician-based culture of prescribing antibiotics involves overusing antibiotics and not challenging the decisions of colleagues. The potential adverse effects of antibiotics did not strongly influence decision making in this sample. A better understanding of these factors could be leveraged in future efforts to improve antibiotic prescribing practices in the inpatient setting. Infect. Control Hosp. Epidemiol. 2015;00(0):1-8.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
United Kingdom 1 <1%
Unknown 222 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 38 17%
Researcher 35 16%
Student > Ph. D. Student 24 11%
Other 19 8%
Student > Bachelor 19 8%
Other 35 16%
Unknown 54 24%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 62 28%
Psychology 27 12%
Social Sciences 15 7%
Nursing and Health Professions 11 5%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Other 41 18%
Unknown 60 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 31 December 2020.
All research outputs
#1,574,866
of 34,410,315 outputs
Outputs from Infection control and hospital epidemiology (Online)
#438
of 6,159 outputs
Outputs of similar age
#14,592
of 285,840 outputs
Outputs of similar age from Infection control and hospital epidemiology (Online)
#2
of 52 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,159 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done particularly well, scoring higher than 92% 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 285,840 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 94% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.