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A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis

BACKGROUND: We planned to identify the difficulties in practicing the rational use of medicine in health facilities, using drug-use indicators. MATERIALS AND METHODS: We studied the average consultation time (ACT), average number of drugs per encounter (ANDE), percentage of drugs by generic name (PD...

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Autores principales: Menik, Hettihewa L, Isuru, Amrasinghe I, Sewwandi, Subasinghe
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3053516/
https://www.ncbi.nlm.nih.gov/pubmed/21430968
http://dx.doi.org/10.4103/0975-7406.76502
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author Menik, Hettihewa L
Isuru, Amrasinghe I
Sewwandi, Subasinghe
author_facet Menik, Hettihewa L
Isuru, Amrasinghe I
Sewwandi, Subasinghe
author_sort Menik, Hettihewa L
collection PubMed
description BACKGROUND: We planned to identify the difficulties in practicing the rational use of medicine in health facilities, using drug-use indicators. MATERIALS AND METHODS: We studied the average consultation time (ACT), average number of drugs per encounter (ANDE), percentage of drugs by generic name (PDPG), percentage of encounters with antibiotics (PAP), percentage of encounters with injection (PIP), percentage of drugs prescribed from the essential drugs list (PEDL), using pretested questionnaires in different hospital types. RESULTS: There was a higher value of ACT in Teachin hospital (TH,2.31 min) and general hospital (GH,2.17 min) compared to district hospital (DH,0.83 min). ANDE was high in all three categories (3.24, 2.88, and 3.26 in TH, GH, and DH, respectively). There was a significant difference in ANDE in all three categories (P≤0.05). There was no significant difference in the PDPG among all categories of Hospitals. PAP was highest in DH (80%) and lowest in GH (46%). PIP was highest in DH (6%), 4% in GH, and lowest in TH (3%) in the Galle district. PEDL in TH, GH, and DH were 97, 100, and 99%, respectively. Prescribers use a short consultation time and practice polypharmacy, and the use of generic and essential drug lists is significantly high. Antibiotic usage is high, but usage of injections is low. We further noted prescriptions with absence of the diagnosis, sex, and prescriber’s identity. CONCLUSION: : We conclude that some areas like polypharmacy, high usage of antibiotics, and poor prescription writing practices are high and they can be addressed by in-service awareness programs for noted prescriber errors.
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spelling pubmed-30535162011-03-22 A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis Menik, Hettihewa L Isuru, Amrasinghe I Sewwandi, Subasinghe J Pharm Bioallied Sci Original Article BACKGROUND: We planned to identify the difficulties in practicing the rational use of medicine in health facilities, using drug-use indicators. MATERIALS AND METHODS: We studied the average consultation time (ACT), average number of drugs per encounter (ANDE), percentage of drugs by generic name (PDPG), percentage of encounters with antibiotics (PAP), percentage of encounters with injection (PIP), percentage of drugs prescribed from the essential drugs list (PEDL), using pretested questionnaires in different hospital types. RESULTS: There was a higher value of ACT in Teachin hospital (TH,2.31 min) and general hospital (GH,2.17 min) compared to district hospital (DH,0.83 min). ANDE was high in all three categories (3.24, 2.88, and 3.26 in TH, GH, and DH, respectively). There was a significant difference in ANDE in all three categories (P≤0.05). There was no significant difference in the PDPG among all categories of Hospitals. PAP was highest in DH (80%) and lowest in GH (46%). PIP was highest in DH (6%), 4% in GH, and lowest in TH (3%) in the Galle district. PEDL in TH, GH, and DH were 97, 100, and 99%, respectively. Prescribers use a short consultation time and practice polypharmacy, and the use of generic and essential drug lists is significantly high. Antibiotic usage is high, but usage of injections is low. We further noted prescriptions with absence of the diagnosis, sex, and prescriber’s identity. CONCLUSION: : We conclude that some areas like polypharmacy, high usage of antibiotics, and poor prescription writing practices are high and they can be addressed by in-service awareness programs for noted prescriber errors. Medknow Publications 2011 /pmc/articles/PMC3053516/ /pubmed/21430968 http://dx.doi.org/10.4103/0975-7406.76502 Text en © Journal of Pharmacy and Bioallied Sciences http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Menik, Hettihewa L
Isuru, Amrasinghe I
Sewwandi, Subasinghe
A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis
title A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis
title_full A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis
title_fullStr A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis
title_full_unstemmed A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis
title_short A survey: Precepts and practices in drug use indicators at Government Healthcare Facilities: A Hospital-based prospective analysis
title_sort survey: precepts and practices in drug use indicators at government healthcare facilities: a hospital-based prospective analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3053516/
https://www.ncbi.nlm.nih.gov/pubmed/21430968
http://dx.doi.org/10.4103/0975-7406.76502
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