Cross-sectional studycited by the Tayebat archiveabstract only checked★ key study A-ABX-19 in-depth review

Unnecessary antibiotic prescriptions in the US

Prevalence of Inappropriate Antibiotic Prescriptions Among US Ambulatory Care Visits, 2010-2011.

Overview

Fleming-Dutra KE et al.. JAMA 2016 · PMID 27139059 · DOI 10.1001/jama.2016.4151

About 30% of outpatient antibiotic prescriptions were judged unnecessary.

Does the study support the specific claim? Yes · Methodological quality: high

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

Estimate inappropriate use.

How was the study done?

Survey analysis.

How many people, animals or samples were studied?

184,032 visits.

What was actually found?

30% inappropriate.

How large was the observed effect?

506 vs 353/1000.

What do the results mean in everyday life?

Overuse is common.

What are the study's limitations?

Estimated appropriateness.

What does it say about Elawady's specific claim?

Supports.

Do the results apply to Germany and Europe?

Low.

What can explicitly not be concluded from this study?

That antibiotics are never needed.

Scientific in-depth review

1. Full reference

Authors
Fleming-Dutra KE, Hersh AL, Shapiro DJ, Bartoces M, Enns EA, File TM, Finkelstein JA, Gerber JS, Hyun DY, Linder JA, Lynfield R, Margolis DJ, May LS, Merenstein D, Metlay JP, Newland JG, Piccirillo JF, Roberts RM, Sanchez GV, Suda KJ, Thomas A, Woo TM, Zetts RM, Hicks LA
Journal
JAMA
Year
2016
Identifier
PMID 27139059 DOI 10.1001/jama.2016.4151
Verification
verified – PubMed E-utilities efetch, 2026-10-25
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

not stated in abstract/record

2. Research question

How much outpatient antibiotic prescribing is inappropriate in the US?

3. Study design and population

Study design
Cross-sectional study – Cross-sectional analysis of national ambulatory care surveys
Population

US ambulatory visits

Country

USA

Period

2010-2011

Sample size

184,032 sampled visits

Inclusion and exclusion criteria

NAMCS/NHAMCS

4. Methods and endpoints

Exposure / intervention

Visits

Comparator

Guideline-based appropriate rates

Endpoints

Antibiotic prescriptions per 1000

Statistical methods

Survey-weighted estimates

5. Actual results

Results

12.6% of visits with antibiotic; 506 Rx/1000/year, 353 appropriate; acute respiratory 221 Rx/1000, 111 appropriate.

Absolute risks

506 vs 353 per 1000 population per year.

Authors' conclusion

Supports goal for outpatient stewardship.

6. Strengths

  • National data

7. Weaknesses

  • Appropriateness estimated, not chart-reviewed

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
some concerns

9. Assessment of the statistical interpretation

10. Relevance to the specific claim

C-ABX-01, C-ABX-12.

11. Independent contrary findings

12. Transferability to Germany and Europe

Low (US).

13. Overall methodological judgement

Robust.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualityhigh
Risk of biassome concerns
Precision of resultshigh
Directnessdirect
Reproducibilitypartly replicated
Consistency with the overall evidenceconsistent
Regional transferabilitylow
Adequacy of the interpretation (by the archive)essentially correct but incomplete

14. Open questions

15. Linked fact checks

Use by the Tayebat archive

Note: according to the archive, the studies were compiled by the archive operators. Whether Dr. Elawady himself cited this study is not established.

What the archive says about the study

About 30% of US outpatient antibiotic prescriptions in 2010-2011 were inappropriate, mostly for viral respiratory infections; narrative: ~47 million per year.

A. What was actually studied?

Inappropriate prescribing.

B. What did the authors find?

506 vs 353 per 1000.

C. What conclusions do the authors themselves draw?

Stewardship needed.

D. What does the archive derive from it?

'47 million handed out for viral infections'.

E. Is this derivation scientifically justified?

30% correct; 47 million not in abstract (not verified); not all excess was for viral infections.

Adequacy of the interpretation (by the archive)
essentially correct but incomplete