Antibiotic therapy and Drug administration error

Summary:

Drug administration error is found among people with Antibiotic therapy, especially for people who are female, 40-49 old.

The study analyzes which people have Drug administration error with Antibiotic therapy. It is created by eHealthMe based on reports of 25 people who have Antibiotic therapy from the Food and Drug Administration (FDA), and is updated regularly. You can use the study as a second opinion to make health care decisions.

What is Antibiotic therapy?

Antibiotic therapy is found to be associated with 50 drugs and 132 conditions by eHealthMe. Check the latest studies of Antibiotic therapy.

What is Drug administration error?

Drug administration error is found to be associated with 1,014 drugs and 1,484 conditions by eHealthMe. Check the latest studies of Drug administration error.



On Jul, 19, 2026

25 people who have Antibiotic Therapy and Drug Administration Error are studied.

Would you have Drug administration error when you have Antibiotic therapy?

Gender of people who have Antibiotic Therapy and experienced Drug Administration Error *:

  • female: 69.57 %
  • male: 30.43 %

Age of people who have Antibiotic Therapy and experienced Drug Administration Error *:

  • 0-1: 14.29 %
  • 2-9: 0.0 %
  • 10-19: 14.29 %
  • 20-29: 19.05 %
  • 30-39: 0.0 %
  • 40-49: 28.57 %
  • 50-59: 9.52 %
  • 60+: 14.29 %

Common co-existing conditions for these people *:

  1. Convulsion (muscles contract and relax rapidly and repeatedly, resulting in an uncontrolled shaking of the body): 6 people, 24.00%
  2. Pain: 4 people, 16.00%
  3. Constipation: 4 people, 16.00%
  4. Rashes (redness): 4 people, 16.00%
  5. Depression: 3 people, 12.00%
  6. Arrhythmias (irregular heartbeat): 3 people, 12.00%
  7. Bone Disorder: 3 people, 12.00%
  8. High Blood Pressure: 3 people, 12.00%
  9. Cough: 2 people, 8.00%
  10. Hypopituitarism (diminished hormone secretion by the pituitary gland, causing dwarfism in children and premature aging in adults): 2 people, 8.00%

Common drugs taken by these people *:

  1. Tamiflu: 8 people, 32.00%
  2. Carbamazepine: 6 people, 24.00%
  3. Baclofen: 5 people, 20.00%
  4. Bactrim: 3 people, 12.00%
  5. Fosamax: 3 people, 12.00%
  6. Benicar: 3 people, 12.00%
  7. Tylenol W/ Codeine No. 3: 3 people, 12.00%
  8. Pronestyl: 3 people, 12.00%
  9. Prozac: 2 people, 8.00%
  10. Calcium: 2 people, 8.00%

Common symptoms for these people *:

  1. Acute Kidney Failure: 3 people, 12.00%
  2. Hepatic Congestion (liver congestion): 3 people, 12.00%
  3. Hepatic Enzyme Increased: 3 people, 12.00%
  4. Hallucination, Visual (seeing things that aren't there): 2 people, 8.00%
  5. Klebsiella Infection: 2 people, 8.00%
  6. Confusional State: 2 people, 8.00%
  7. Cardiac Failure Congestive: 2 people, 8.00%
  8. Haemolytic Anaemia (anaemia due to haemolysis): 2 people, 8.00%
  9. Sepsis (a severe blood infection that can lead to organ failure and death): 2 people, 8.00%
  10. Blood Immunoglobulin A Increased: 1 person, 4.00%

* Approximation only. Some reports may have incomplete information.

Do you take medications and have Drug administration error?

- Check whether Drug administration error is associated with a drug or a condition


Related studies:

Treatments, associated drugs and conditions:

All the drugs that are associated with Drug administration error:

All the conditions that are associated with Drug administration error:


How the study uses the data?

How to use the study?

DO NOT STOP MEDICATIONS without first consulting your doctor. If there are any serious or long term adverse effects discovered in the study, discuss the study with your doctor to ensure that proper medication management will be in place if applicable.

The study is based on Drug administration error and Antibiotic therapy, and their synonyms.

Who is eHealthMe?

With medical big data and proven AI/ML algorithms, eHealthMe provides a platform for everyone to run phase IV clinical trials. We study millions of patients and 5,000 more each day. Results of our real-world drug study have been referenced on 800+ peer-reviewed medical publications, including The Lancet, Mayo Clinic Proceedings, and Nature. Our analysis results are available to researchers, health care professionals, patients (testimonials), and software developers (open API).

WARNING, DISCLAIMER, USE FOR PUBLICATION

WARNING: Please DO NOT STOP MEDICATIONS without first consulting a physician since doing so could be hazardous to your health.

DISCLAIMER: All material available on eHealthMe.com is for informational purposes only, and is not a substitute for medical advice, diagnosis, or treatment provided by a qualified healthcare provider. All information is observation-only. Our phase IV clinical studies alone cannot establish cause-effect relationship. Different individuals may respond to medication in different ways. Every effort has been made to ensure that all information is accurate, up-to-date, and complete, but no guarantee is made to that effect. The use of the eHealthMe site and its content is at your own risk.

If you use this eHealthMe study on publication, please acknowledge it with a citation: study title, URL, accessed date.



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