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Journal of Drug Delivery and Therapeutics

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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

 

Article Info:

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Article History:

Received 11 Feb 2021     

Review Completed 18 March 2021

Accepted 26 March 2021

Available online 15 April 2021 

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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

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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.

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