Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Assessment of Prescription Patterns in Pediatric Patients using WHO Indicator

Authors: Pradeep Sharan; Mani Kant; Sweta; Snehanshu Chkraborty;

Assessment of Prescription Patterns in Pediatric Patients using WHO Indicator

Abstract

Background: Pediatric prescription patterns are crucial for ensuring appropriate and effective treatments for children. The World Health Organization (WHO) provides pointers to evaluate the quality and safety of drug prescriptions. However, comprehensive analysis of these patterns using WHO indicators remains limited. Aim: This study aims to analyze pediatric prescription patterns using WHO prescribing indicators to identify trends, deviations, and areas for improvement in pediatric healthcare. Methods: A retrospective observational research was performed which analyzed prescription patterns using WHO prescribing indicators. Data were collected from patient records, focusing on variables such as the average no. of drugs in each prescription, percentage of drugs prescribed by generic name, antibiotics, injections, and drugs from the essential medicines list. Results: The study revealed significant deviations from WHO prescribing indicators, highlighting areas for enhancement in rational drug use. The findings showed a moderate level of polypharmacy with an average of 3.1 drugs per prescription. Only 35% of drugs were prescribed by their generic names, indicating a need to enhance the use of cost-effective and accessible medications. Antibiotics were prescribed in 55% of cases, which raises concerns about potential antibiotic resistance and underscores the necessity of implementing antibiotic stewardship programs. Injections were included in 20% of prescriptions, aligning moderately with WHO guidelines but requiring ongoing monitoring to prevent unnecessary use. Although 75% of prescribed drugs were from the important list of medicines, there is still room for improvement to achieve optimal adherence to WHO standards. Conclusion: The analysis reveals significant deviations from WHO recommendations, particularly the high use of antibiotics and relatively low prescription of generic drugs. These patterns highlight the need for targeted interventions to encourage rational prescribing practices in pediatric healthcare.

Background: Pediatric prescription patterns are crucial for ensuring appropriate and effective treatments for children. The World Health Organization (WHO) provides pointers to evaluate the quality and safety of drug prescriptions. However, comprehensive analysis of these patterns using WHO indicators remains limited. Aim: This study aims to analyze pediatric prescription patterns using WHO prescribing indicators to identify trends, deviations, and areas for improvement in pediatric healthcare. Methods: A retrospective observational research was performed which analyzed prescription patterns using WHO prescribing indicators. Data were collected from patient records, focusing on variables such as the average no. of drugs in each prescription, percentage of drugs prescribed by generic name, antibiotics, injections, and drugs from the essential medicines list. Results: The study revealed significant deviations from WHO prescribing indicators, highlighting areas for enhancement in rational drug use. The findings showed a moderate level of polypharmacy with an average of 3.1 drugs per prescription. Only 35% of drugs were prescribed by their generic names, indicating a need to enhance the use of cost-effective and accessible medications. Antibiotics were prescribed in 55% of cases, which raises concerns about potential antibiotic resistance and underscores the necessity of implementing antibiotic stewardship programs. Injections were included in 20% of prescriptions, aligning moderately with WHO guidelines but requiring ongoing monitoring to prevent unnecessary use. Although 75% of prescribed drugs were from the important list of medicines, there is still room for improvement to achieve optimal adherence to WHO standards. Conclusion: The analysis reveals significant deviations from WHO recommendations, particularly the high use of antibiotics and relatively low prescription of generic drugs. These patterns highlight the need for targeted interventions to encourage rational prescribing practices in pediatric healthcare.

Keywords

Pediatric prescription patterns, WHO prescribing indicators, rational drug use, antibiotics, essential medicines

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities