Skip to content
Research Article Open access CC BY 3.0

Assessment of Antimicrobial Utilization and Prescribing Pattern among the Health Care Professionals at a Tertiary Care Rural Teaching Hospital in Southern India

Pitchaipillai Revathi, Thalaimalai Senthinath Jeyaseelan, Madhavan Vigneshwari, Nagarajan Prabhu, Mayilsamy Nithya, Subramaniya Pillai Manickavasagam, Alagappan Uma, Ponniah Thirumalaikolundusubramanian

Journal of Pharmaceutical Research International · pp. 1209–1216 · Published 8 May 2014

10.9734/BJPR/2014/9961

Abstract

Aims: To monitor the antimicrobial utilization; identify the preferred group of antibiotics in outpatient services, determine the prescribing pattern of antibiotics by consultants in a rural teaching hospital, evaluate the inappropriate usage of antibiotics among population and evaluate the patients knowledge about use of antimicrobials taken for their illness. Methodology: A period of 24 months of investigation is carried out towards prescribing antibiotics and the inappropriate usage of antibiotics among rural population who attended outpatient departments were elicited by Questionnaires survey method and analysed in relation to rational use of antibiotics. The patients were also interviewed for their knowledge regarding drugs, sources, dose, duration and frequency of the drugs. Results: The percentage of distribution of various group of antibiotics in the years of 2009-2010 and 2010-2011 were Sulphonamide (SULP) (4.42%, 1.1%), Penicillin (Pn) (52.4%, 9%), Fluroquinolones (FQs) (24.9%, 44%), Cephalosporins (CPs) (1.2%, 5.2%), Broad spectrum antibiotics (BSA) (3.4%, 3.6%), Macrolide (Mac) (1.3%, 5.2%), Antiprotozoal drug (APD)-metronidazole (12.3%, 12.7%) and fixed dose combination (FDC) (0.2%, 3.6%) respectively. Many practitioners were not aware of Multidrug Resistance (MDR) (50.5%) nor the type of infections (52.6%) or the group of antibiotics (57.9%) exhibiting resistance. Conclusion: Antibiotics are considered as the second most prescribed drugs in the world. In our study, 76.2% were prescribed with antibiotics in their prescription. Analysis of utilization of antibiotics in pharmacy during the year of 2010-2011 revealed a reduction in antibiotic use compared to 2009–2010. Further awareness required to the prescribers and beneficiaries regarding antimicrobial resistance.

Antibiotics prescribing patterns health care professionals emergence of AMR.

References (16)

  1. 1 Antibacterial resistance worldwide: causes, challenges and responses [DOI]
  2. 2 How to investigate drug use in health facilities. Selected drug use indicators [DOI]
  3. 3 Antimicrobial resistance: a global response.
  4. 4 Evaluation of rational antibiotic use [DOI]
  5. 5 Drug utilization studies: a tool for determining the effectiveness of drug use. [DOI]
  6. 6 A global survey of antibiotic leftovers in the outpatient setting [DOI]
  7. 7 Drug Utilization Studies – An Overview [DOI]
  8. 8 Antibiotics prescribing pattern in the in-patient departments of a tertiary care hospital [DOI]
  9. 9 Methodology for surveillance of antimicrobials use among out-patients in Delhi.
  10. 10 Stress among medical students of Gorgan (South East of Caspian Sea), Iran [DOI]
  11. 11 Antimicrobial utilization pattern in out patient services of ENT department of tertiary care hospital of Eastern Nepal.
  12. 12 Patterns of prescription of antimicrobial agents in the Department of Otorhinolaryngology in a tertiary care teaching hospital [DOI]
  13. 13 The quality of prescribing in general practice in Kerman, Iran [DOI]
  14. 14 Key issues in developing antibiotic policies: from an institutional level to Europe-wide. European Study Group on Antibiotic Policy (ESGAP), Subgroup III [DOI]
  15. 15 Drug Utilization with special Reference to Antimicrobials in a Sub-health post in Western [DOI]
  16. 16 Antibiotic prescribing pattern in ophthalmology outpatient department in a tertiary care hospital. [DOI]

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

20

Page views

0

PDF downloads

2

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.