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Open Access Full Text Article Research Paper
Evaluation of Drug Prescription Pattern using World Health Organisation Prescribing Indicators in a Tertiary Care Hospital, Bangalore
*Gaddam Mrudula Stuthy, Dhanush Salin, Ritty Sara Cherian
Department of Pharmacy Practice, Aditya Bangalore Institute of Pharmacy Education and Research Bangalore-560064, Karnataka, India
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Article Info: _________________________________________ Article History: Received 11 Feb 2021 Review Completed 18 March 2021 Accepted 26 March 2021 Available online 15 April 2021 ___________________________________________________________ Cite this article as: Stuthy GM, Salin D, Cherian RS, Evaluation of Drug Prescription Pattern using World Health Organisation Prescribing Indicators in a Tertiary Care Hospital, Bangalore, Journal of Drug Delivery and Therapeutics. 2021; 11(2-s):41-43 DOI: http://dx.doi.org/10.22270/jddt.v11i2-s.4788 _________________________________________ *Address for Correspondence: Ms. Mridula Stuthy, Department of Pharmacy Practice, Aditya Bangalore Institute of Pharmacy Education and Research Bangalore-560064, Karnataka, India |
Abstract ______________________________________________________________________________________________________ Aim of the study: To monitor the drug use patterns by using WHO prescribing indicators in a tertiary care hospital and to minimise the irrational prescribing practices by the prescribers. To monitor the drug use patterns by using WHO prescribing indicators in a tertiary care hospital and to minimise the irrational prescribing practices by the prescribers. Materials and Methods: This is a prospective observational study, the patients who were satisfying the inclusion criteria will be enrolled into the study. The patient’s data were collected in specially designed documentation form. The collected data’s were assessed using descriptive statistics. Results: The study was conducted in 143 patients in which the average number of drugs per encounters was 3.5 and the percentage of drugs in the generic name was 37.10% (n=190), and in brand names were 62.89% (n=322). The number of encounters with antibiotics was 61.5% and where as 57.35% of the total drugs prescribed was injections. Most of the medicines prescribed were included in the list of essential medicines of India that is 96.09% and without use of antibiotics 38.46% (n=55). Conclusion: Poly pharmacy leads to drug chances of interactions and risk of ADRs and revealed that most of the patients were prescribed with the poly pharmacy and in brand names. The use of antibiotics was much more in the study, which should be minimize so that antimicrobial resistance can be minimized. Keywords: adverse drug reaction, essential drug list, prescribing indicators |
INTRODUCTION:
Medicine is an ever transitional science, which deals with the practice of diagnosis use, treat or prevention of diseases, better health care incorporates availability of good quality products at minimum cost with maximum effectiveness in minimise risk with respect to the patient’s choices2.Inappropriate use of medicine leads to serious morbidity and mortality, it also exemplifies a waste of resources and may harm the public health by resistance in case of antimicrobials3.
WHO says drugs promotion as all the informational and eloquent activities by manufacturers, distribution to influence sale and practice of medicinal drugs5. It is mentioned that most of the brochures or advertisements were not adhering with standards criteria of ethics and this would end up in irrational use of drugs and affect patient’s health status negatively6.
The indicators of drug use are first line measures. The drugs use studies by indicators are broadly categorised into four i.e. describing current treatment practices, comparison of the individual facility performance or prescriber’s performance, monitoring of drug use patterns in a periodic manner, assessing the impact of intervention7.
These facts indicate that there is a need to assess evaluation of drug prescription pattern using world health organisation prescribing indicators
MATERIALS AND METHODS
1 Duration of study
4.2 Site of the study
4.3 Study design
4.4 Sources of Data and Materials:
4.5 Study Criteria:
Inclusion Criteria
Exclusion Criteria:
4.6 Study Materials:
4.7 Method of Data Collection:
Procedure
Analysis of Data
The collected data was assessed by descriptive statistics. The study data were analysed by using statistics such as average and percentages.
Human Ethical Clearance Committee Approval:
Human ethical clearance committee of ABIPER, has approved the study and issued a letter of permission to conduct the study
RESULTS AND DISCUSSIONS
Among 143 patients enrolled in the study, 60.13% (n=86) were male and 39.86% (n=57) were females.
Table 1: Gender Wise Distribution Of Patients
|
GENDER |
NUMBER |
PERCENTAGE |
|
MALE |
86 |
60.13% |
|
FEMALE |
57 |
39.86% |
|
TOTAL |
143 |
100% |
This prescribing indicator helps to identify the practice of polypharmacy by the prescribers in hospitals. The study concluded that the average numbers of drugs per encounters was 3.5
Table 2: Number of Drugs per Encounter
|
Number |
Frequency of prescriptions |
Percentage |
|
1 drug |
8 |
5.59% |
|
2 drugs |
23 |
16.08% |
|
3 drugs |
31 |
21.67% |
|
4 drugs |
53 |
37.06% |
|
5 drugs |
19 |
13.28% |
|
More than 5 drugs |
9 |
6.29% |
|
Total |
143 |
100% |
In the current study 37.10% of drugs were prescribed in generic name and 62.9% of drugs were prescribed by brand names. This is similar to the study conducted by the satish et al, which started that the generic prescribing was 38.3%, but Lenjisa JL7 et al 2014, study shows that 96.6% of drugs, were prescribed in generic name. This indicates that in some hospitals, antibiotics prescriptions are done with generic names and which helps to in patients compliance, low cost of therapy, reduce risk of errors in drugs names such as sound alike drugs and look alike drugs and also helps to reduce delay of drugs to dispensed by giving alternative drugs rather than the particular brand drugs.
Table 3: Number of Drugs Prescribed By Brand and Generic
|
Prescription |
Number |
Percentage |
|
BRAND |
322 |
62.89% |
|
GENERIC |
190 |
37.10% |
|
TOTAL |
512 |
100% |
The percentage of drug encounters with an antibiotics were prescribed was 61.5% . This is similar to the studies of Satish et al and Lenjisa7 JL et al i.e 57.07% and 58% respectively. But the study conducted by Ramachandra8 et al got 22.6% of antibiotics prescribing. This shows that there was a variation in the treatment guidelines and irrational prescribing of antibiotics leads to resistance and higher cost of therapy and loss of resources. Majority of antibiotics prescribed for prophylaxis rather than specific treatment. So it was used as a barrier therapy for all types of infections and this leads to ADRs and resistance to microorganisms, which is a global problem
Table 4: Use of Antibiotics
|
Number of Antibiotic |
Frequency |
Percentage |
|
0 ANTIBIOTICS |
55 |
38.46% |
|
1 ANTIBIOTICS |
43 |
30.06% |
|
2ANTIBIOTICS |
13 |
9.09% |
|
3 ANTIBIOTICS |
16 |
11.18% |
|
4 ANTIBIOTICS |
9 |
6.2% |
|
MORE THAN 4 |
7 |
4.89% |
|
TOTAL |
143 |
100% |
In the current study, 57.30% of drugs prescribed was injections which was lesser than the finding done by Satish et al, in the hospital of Mandya district, the increase of utility of injection may be due to the higher efficacy of injections than oral medications, and also the study was conducted for the in-patients so that patients were in serious conditions are treated and injections have fast onset of action.
Table 5: Use of Injections
|
Number of Injections |
Frequency |
Percentage |
|
0 INJECTION |
61 |
42.65% |
|
1 INJECTION |
49 |
34.26% |
|
2 INJECTION |
24 |
16.78% |
|
3 INJECTION |
5 |
3.4% |
|
MORE THAN 3 |
4 |
2.79% |
|
TOTAL |
143 |
100% |
In the study out of 512 drugs used, 459 drugs were included in the essential drug list 2011, i.e 96.095% this is less than the Findings of Lenjisa7 et al, which shows that 98.7%, of drugs were from EDL,. The drug’s use from the EDL, helps in maximum safety of drugs use helps to satisfy the health care needs the population and for the optimal use of limited resources. The selection of drugs for framing EDL, is continuing process which conditions as well as the pharmaceutical and pharmacological knowledge.
Table 6: Prescribing from NLEM
|
Number of Drugs |
Frequency |
Percentage |
|
1 DRUG |
17 |
11.88% |
|
2 DRUGS |
29 |
20.27% |
|
3 DRUGS |
28 |
19.58% |
|
> 3 DRUGS |
70 |
48.95% |
|
TOTAL |
143 |
100% |
CONCLUSION
ACKNOWLEDGEMENT
As he is the first and the last, we thankfully bow with reverence before the almighty that is the source of all wisdom and knowledge, the creator who by his wishes and blesses made us to attain successful completion of this dissertation.
With great pleasure and sense of gratitude, we express our most cordial and humble thanks to our eminent respected guide Dr. RITTY SARA CHERIAN, Professor, Department of Pharmacy Practice, ABIPER, for his valuable guidance, keen interest, inspiration, unflinching encouragement and moral support throughout our project work. We express sincere thanks to him for stimulating discussion, meticulous guidance, illimitable enthusiasm and support since the beginning of our course.
We express our deepest sense of gratitude to PROF.K.RAMKUMAR, Principal of ABIPER, for his sincere gratitude and support.
We express our deepest sense of gratitude to our honourable chairman Dr. B.A.VISHWANATH, for providing the facilities and extending his support.
CONFLICT OF INTEREST
There was no conflict of interest among the authors.
BIBLIOGRAPHY