Literature DB >> 25954629

Analysis of Out Door Patients' Prescriptions According to World Health Organization (WHO) Prescribing Indicators Among Private Hospitals in Western India.

Prakash R Shelat1, Shivaprasad Kalakappa Kumbar2.   

Abstract

BACKGROUND: Prescription is document through which doctor, patient and pharmacist are communicated. Many a times if these documents are not properly written or misinterpreted it can affect management of patients. WHO established prescribing indicators to analyse prescription and promoted rational use of drugs and better management of patients. AIM: To study the prescription pattern according to WHO prescribing indicators among private hospitals. SETTINGS AND
DESIGN: The observational, prospective study carried out at different private hospitals at metro city in Western India to study the prescription pattern among private hospital.
MATERIALS AND METHODS: Study was conducted at different private hospitals of metro city. A total of 250 prescriptions of outdoor patients from various departments of private hospitals were collected for a period of three months (August to October) 2012 and evaluated. STATISTICAL ANALYSIS: The study was analysed using Z-test.
RESULTS: Patient details like age and gender was not written in all (100%) prescriptions. It was noticed that dose, direction of drug and duration of treatment was not completely written in 90%, 74% and 80% of prescriptions respectively. Abbreviations were used in all (100%) prescriptions. Doctor's medical registration number was mentioned in 0% prescriptions. Total 869 drugs were prescribed in 250 prescriptions. Average number of drug prescribed was 3.38±1.79 (Mean±SD). It was reported that Group II (3 to 4 encoutner) was significantly higher as compared to Group I (less than or equal to 2 encoutner) and Group III( more than four encounter). It was significantly (p<0.05) prescribed brand name prescriptions (93.33%) as compared to generic name prescriptions (6.7%). Percentage of encounter with antibiotics and injections was 54% and 18% respectively. Approximately 70% drugs were prescribed according to Essential Medicine List (EML) of State. Antibiotics accounted 30% of prescribed drugs which was significantly higher as compared to other group of prescribed drugs.
CONCLUSION: Our study revealed that prescription errors were most commonly observed at private hospitals and antibiotics was commonly prescribed in private sector. Therefore, strict policy to good prescribing practice and strict antibiotic policy in outdoor patients are required to promote rational use of drugs.

Entities:  

Keywords:  Antibiotics; Essential medicines; Private practitioners

Year:  2015        PMID: 25954629      PMCID: PMC4413077          DOI: 10.7860/JCDR/2015/12724.5632

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  18 in total

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Journal:  East Mediterr Health J       Date:  2002 Jul-Sep       Impact factor: 1.628

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7.  Medication errors reported by US family physicians and their office staff.

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8.  Prescription audit of outpatient attendees of secondary level government hospitals in Maharashtra.

Authors:  Hanumantha Rao Potharaju; S G Kabra
Journal:  Indian J Pharmacol       Date:  2011-04       Impact factor: 1.200

9.  Patterns of drug prescribing in a hospital in dubai, United arab emirates.

Authors:  Si Sharif; M Al-Shaqra; H Hajjar; A Shamout; L Wess
Journal:  Libyan J Med       Date:  2008-03-01       Impact factor: 1.657

10.  Cross-sectional study of prescribing errors in patients admitted to nine hospitals across North West England.

Authors:  Kay Seden; Jamie J Kirkham; Tom Kennedy; Michael Lloyd; Sally James; Aine McManus; Andrew Ritchings; Jennifer Simpson; Dave Thornton; Andrea Gill; Carolyn Coleman; Bethan Thorpe; Saye H Khoo
Journal:  BMJ Open       Date:  2013-01-09       Impact factor: 2.692

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  3 in total

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2.  Assessment of Drug Use Pattern Using WHO Core Prescribing Indicators at Outpatient Settings of Governmental Hospitals in Dessie Town.

Authors:  Getnet Mengistu; Desye Misganaw; Tessema Tsehay; Belete Kassa Alemu; Kassahun Bogale
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Journal:  BMJ Open       Date:  2016-03-15       Impact factor: 2.692

  3 in total

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