Assessment of antimicrobial resistance risks due to physician and patient practices: An observational study

Purpose: To assess the risk factors for antimicrobial resistance (AMR) by examining physician antibiotic prescribing patterns, and patient adherence. Methods: A cross-sectional descriptive study was conducted across two sites. The study involved two components: physician-focused assessment of inappropriate antibiotic prescribing and patient-focused assessment of antibiotic adherence. Data were collected from patient records and structured forms, and were analyzed using descriptive statistics, with chi-square tests for categorical data. Statistical significance was defined as p < 0.05. Results: The physician-focused study revealed that 40.49 % of antibiotic prescriptions had no indication, and 23.93 % involved drug-drug interactions. The risk of AMR due to inappropriate prescribing was 47.75 %, which decreased to 28.83 % following pharmacist intervention (χ² = 147.61, p < 0.001). In the patient-focused study, 19.52 % of patients were non-adherent to prescribed antibiotics, contributing to an equivalent risk of AMR. A total of 72.67 % of the patients were male, with a mean age of 50.43 years. Most patients (97.5 %) lacked knowledge about AMR. Conclusion: Inappropriate antibiotic prescribing and patient non-adherence are significant contributors to the development of AMR. Interventions by pharmacists significantly reduce the risk of AMR. The study highlights the need for improved antibiotic stewardship, patient education, and adherence to treatment guidelines to mitigate AMR risk. Locally developed guidelines and shorter antibiotic courses may also help address this growing concern.

Authors

Institutions

Publication Details

Journal
Tropical Journal of Pharmaceutical Research
Published
2024-11-19
DOI
https://doi.org/10.4314/tjpr.v23i10.22
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of antimicrobial resistance risks due to physician and patient practices: An observational study

Pradeep Battula, Bhupalam Pradeep Kumar
Tropical Journal of Pharmaceutical Research
Antibiotic Use and Resistance
article

Assessment of antimicrobial resistance risks due to physician and patient practices: An observational study

Pradeep Battula, Bhupalam Pradeep Kumar
article en

Abstract

Purpose: To assess the risk factors for antimicrobial resistance (AMR) by examining physician antibiotic prescribing patterns, and patient adherence. Methods: A cross-sectional descriptive study was conducted across two sites. The study involved two components: physician-focused assessment of inappropriate antibiotic prescribing and patient-focused assessment of antibiotic adherence. Data were collected from patient records and structured forms, and were analyzed using descriptive statistics, with chi-square tests for categorical data. Statistical significance was defined as p < 0.05. Results: The physician-focused study revealed that 40.49 % of antibiotic prescriptions had no indication, and 23.93 % involved drug-drug interactions. The risk of AMR due to inappropriate prescribing was 47.75 %, which decreased to 28.83 % following pharmacist intervention (χ² = 147.61, p < 0.001). In the patient-focused study, 19.52 % of patients were non-adherent to prescribed antibiotics, contributing to an equivalent risk of AMR. A total of 72.67 % of the patients were male, with a mean age of 50.43 years. Most patients (97.5 %) lacked knowledge about AMR. Conclusion: Inappropriate antibiotic prescribing and patient non-adherence are significant contributors to the development of AMR. Interventions by pharmacists significantly reduce the risk of AMR. The study highlights the need for improved antibiotic stewardship, patient education, and adherence to treatment guidelines to mitigate AMR risk. Locally developed guidelines and shorter antibiotic courses may also help address this growing concern.

Tropical Journal of Pharmaceutical ResearchVol. 23(10)
Jawaharlal Nehru Technological University Anantapur (IN)
Good health and well-being
Openalex Percentile: Top 74%
Antibiotic Use and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.