Research Article

Prescribing Pattern and Pharmacoeconomic Evaluation of Diabetes Mellitus Patients in Tertiary Care Hospital of Telangana Region

by Ch P S R Madhuri*, B Himavarshini, T Srividya, J V C Sharma, A V S S Gupta

Joginpally B R Pharmacy College, Moinabad, Hyderabad, Telangana, India

*Corresponding author: Ch P S R Madhuri, Department of pharm d, Joginpally B R Pharmacy College, Moinabad, Hyderabad, Telangana, India, 500075,

Received Date: 06 February 2024

Accepted Date: 12 February 2024

Published Date: 15 February 2024

Citation: Madhuri ChPSR, Himavarshini B, Srividya T, Sharma JVC, Gupta AVSS (2024) Prescribing Pattern and Pharmacoeconomic Evaluation of Diabetes Mellitus Patients in Tertiary Care Hospital of Telangana Region. J Diabetes Treat 9: 10128. https://doi.org/10.29011/2574-7568.010128

Abstract

Diabetes Mellitus is a chronic disorder defined as metabolic cum vascular syndrome of multiple aetiology.The primary objective of study is to identify prescription pattern using WHO core investigator and to evaluate pharmacoeconomic evaluation to check the adherence it is a prospective observation study conduct in Mahavir tertiary care hospital for a period of three months. Demographic details of the patient, Past medical history, Duration of diabetes mellitus, Medication list, Dose, Dosage form, Frequency, Total number of injectable and oral drugs and Pharmacoeconomic evaluation. A Prescription based study is considered as one of the most effective methods to assess and to evaluate the prescribing pattern of medications. This study analyzed the prescription patterns in Type 2 Diabetes mellitus. A Drug Utilization Study was considered to be one of the most effective methods to assess and to evaluate the prescribing attitude of the physician and helps to promote the rational use of the drugs. Individuals with Type 2 Diabetes is considered on high priority as they are potential candidates for rapid evaluation to prevent and halt the progression of many complications. The study included 150 patients within an age range of 30 to >65 years. A total of 134 drugs were prescribed in the study population. The Demographic data of the study subjects, The number of subjects diagnosed with diabetes mellitus alone are discussed and The gender distribution of the subjects are studied in pie diagram. The Drug Utilization pattern for the prescribed antidiabetics (monotherapy, dual drug therapy and triple drug therapy) were studied. The study involved 150 prescriptions and we found a higher incidence of diabetes in elderly patients with a high incidence in age group of 50-65 years (40%). In general patients developing diabetes mellitus are in age group of more than 50 years. In our study 52% males and 48% females had diabetes mellitus. The study of prescribing pattern and evaluation of the prescribing practice may recommend necessary modifications to achieve rational and cost-effective medical care by practitioners for making medical care rational. The study involved 137 prescriptions (100%) of patients with Type 2 diabetes. The drug utilization pattern for prescribed antidiabetics was also evaluated which included the number of drugs given under monotherapy were 132 (31.80%) and drugs under dual therapy were 226 (54.45%) and drugs under triple therapy were 57 (13.73%), and we found that more number of antidiabetic drugs were dual therapy which is 54.45%.The drug utilization pattern of antidiabetic drugs under monotherapy were evaluated and found metformin (5.78%) is the most commonly prescribed. This study also evaluated the drug utilization patterns of antidiabetic drugs under dual therapy and found that glimepiride + metformin is the most commonly prescribed dual therapy drug which is about 96 (23.1%), followed by teneligliptin + metformin (16.1%), sitagliptin + metformin (5.5%), voglibose + metformin (3.1%). In the drug utilization pattern of antidiabetic drug under triple therapy, glimepiride + voglibose + metformin is most commonly given which is 9.39% followed by glimepiride + pioglitazone + metformin which is 4.33%.The prescriptions of injectables used during the course of the study were evaluated from which Human mixtard, Huminsulin, Human Actrapid which are the short acting insulins were most commonly prescribed which is about 80.85% and followed by long acting insulin which is 19.15%.The study was done using the WHO core indicatorsThe total no. of prescriptions analyzed were 150, Total no. of drugs used in the study were 135 drugs, Percentage of drugs prescribed with generic name were 0.43%, Percentage of drugs with an anti-diabetics prescribed were 59.9%, Percentage of drugs with an injectables were 6.8%.

Keywords: Diabetes Mellitus; Pharmacoeconomic Evaluation; Drug Utlisation; Overall Hypogycemic Drugs; WHO Core Indicators; Prevalence.

Introduction

Diabetes mellitus is one of the oldest diseases known to man ,which was the first reported in Egyptian literature about 3000 years ago [1]. Diabetes Mellitus is a chronic disorder defined as metabolic cum vascular syndrome of multiple aetiology characterised by chronic hyperglycaemia with disturbances of carbohydrate fat and protein metabolism resulting from defects in insulin secretion , insulin action or both leading to changes in both small blood vessels (microangiopathy) and large blood vessels macroangiopathy) [2].

Diabetes results from the failure of the pancreas to produce a sufficient amount of insulin. Pancreas produce a sufficient amount of insulin, but if the insulin is blocked from the body cells and cannot be used (insulin resistance). This causes the patients to have abnormally high amounts of sugar in their urine and blood [3]. The two types of DM observed are Type 1(insulin dependent) and Type 2 (noninsulin dependent). Insulin is vital to patients with type 1 DM. Type 2 DM is first treated with weight reduction, plans a diabetic diet and exercise. When these measures fail, oral medications are used [4].

DM is associated with a higher prevalence of risk factors such a hypertension and dyslipidemia which in turn leads to major vascular complications. These complications are debilitating to the patient, and also associated with significant economic burden to the patient, family members and the nation’s health care budget [5]. There has been a gradual and continuous increase in rural- urban migration. With this migration comes an apparent shift in life style from a relatively healthy traditional pattern, to the urban scenario of increased quantity and reduced quality of food, physical inactivity, smoking and increased alcohol indulgence. These are all risk factors for development of DM [6].

The statistical report in the year 2000 precisely reported that India topped the world with the highest number of people with DM, followed by China [7]. According to international diabetes federation 537million people in the world live with diabetes as of 2021. According to WHO around 77 million Indians are affected by Diabetes by and it is estimated that it may increase to 134million by 2045 [8]. This could place considerable burden on the health budgets of this country [9]. Various classes of ANTIDIABETIC DRUGS including insulin and oral hypoglycaemic agents are currently used in the treatment of diabetes, which acts by different mechanisms to reduce blood glucose levels to maintain optimal glycaemic control [10].

ANTIDIABETICS: INSULIN

RAPID ACTING

– insulin lispro, insulin aspartinsulin glulisine

SHORT ACTING

– regular (soluble) insulin

INTERMEDIATE ACTING

– insulin zinc suspension or lente,

- Neutral Protamine Hagedorn (NPH)

ORAL HYPOGLYCAEMIC DRUGS:

A)    DRUGS THAT ENHANCE INSULIN SECRETION

 

1.  SULFONYLUREAS

First generation – tolbutamide

Second generation – glipalamide, glipizide gliclazide, glimepiride

2. MEGLITINIDE / PHENYL ALANINE ANALOGIUES

Repaglinide, Nate glinide

3. GLP-1 RECEPTOR AGONISTS

exenatide, liraglutide

 

DRUGS THAT OVER COME INSULIN RESISTANCE:

1.BIGUANIDES:

Metformin

2.THIAZOLIDINEDIONES

Pioglitazone

3.MISCELLENIOUS ANTI DIABETIC DRUGS:

1.ALPHA GLUCOSIDASE INHIBITORS

acarbose, miglitol, voglibose

2.AMYLIN ANALOGUES

Pramlintide

3.DOPAMIN -D2 RECEPTOR AGONISTS

Bromocriptine

4.SODIUM – GLUCOSE COTRANSPORT 2 INHIBITOR

Dapagliflozine

Objectives:

  1. Identifying prescription pattern using WHO core indicators.
  2. Pharmacoeconomic evaluation to check adherence.
  3. To check for rationality in the prescribed therapy.
  4. To study the most utilized anti-hypertensive and anti-diabetic drug.

(STUDY DESIGN)

Prospective observational study

STUDY SITE

Mahaveer tertiary care hospital

STUDY DURATION

3months (August – November)

INCLUSION CRITERIA

  1. All the inpatients and out patients diagnosed with diabetes alone and also with co-morbidities were included.
  2. Patients who are willing to participate in the study.
  3. Type 2 DM patients irrespective of age and sex who were prescribed with at least one Oral Hypoglycemic Agents.

EXCLUSION CRITERIA

  1. Patients who are critically ill and admitted in ICU.
  2. Prescriptions containing incomplete information.
  3. Gestational Diabetes Mellitus

Methodology

A suitable data collection form was designed to collect and document the data. Data collection form included the provision for the collection of information related to

  • Demographic details of the patient
  • Past medical history
  • Duration of diabetes mellitus
  • Medication list
  • Dose.
  • Dosage form
  • Frequency
  • Total number of injectable and oral drugs
  • Pharmacoeconomic evaluation

The number of anti-diabetic drugs prescribed was evaluated. The prescribing patterns of anti–diabetic drugs were assessed.

All the data collected as per proforma were analysed by WHO prescribing indicators. which include the following parameters;

  1. Percentage of drugs prescribed by generic name.
  2. Percentage of prescriptions with an anti-biotic.
  3. Percentage of drugs with an injectable prescribed.
  4. Percentage of drugs prescribed from Essential Medical List.
  5. Average drug cost.
  6. Cost minimization analysis was done to predict that amount of money that can be saved if prescriber have prescribed the cheaper brand in market, which in turn improves adherence to prescribed drug use as well as rationality. Results were depicted in tabular columns.

Results

A Prescription based study is considered as one of the most effective methods to assess and to evaluate the prescribing pattern of medications. This study analyzed the prescription patterns in Type 2 Diabetes mellitus. A Drug Utilization Study was considered to be one of the most effective methods to assess and to evaluate the prescribing attitude of the physician and helps to promote the rational use of the drugs. Individuals with Type 2 Diabetes is considered on high priority as they are potential candidates for rapid evaluation to prevent and halt the progression of many complications.

The study included 150 patients within an age range of 30 to >65 years. A total of 134 drugs were prescribed in the study population. The Demographic data of the study subjects are presented in table 1. The number of subjects diagnosed with diabetes mellitus alone are discussed in table 2. The gender distribution of the subjects are studied in pie diagram. The Drug Utilization pattern for the prescribed antidiabetics (monotherapy, dual drug therapy and triple drug therapy) were included in table 3.

S.NO

AGE GROUP (YEARS)

NO.OF PATIENTS

PERCENTAGE (%)

1.

30-40

25

16.66%

2.

40-50

40

26.66%

3.

50-65

60

40%

4

65

24

16 %

Table 1: Demographic Details.

GENDER

PECENTAGE

MALE

56%

FEMALE

44%

Table 2: Gender Distribution.

Sl no:

ANTIDIABETICS PRESCRIBED

NUMBER

PERCENTAGE%

1

Monotherapy

142

29.95%

2

Dual therapy

250

52.74%

3

Triple therapy

80

16.87%

4

Total

474

Table 3: Antidiabetics Prescribed.

The utilization pattern of antidiabetic drug therapy (monotherapy) were included in table 4. The utilization pattern of antidiabetic drug therapy (dual therapy) were included in table 5. Table 6 shows the utilization pattern of antidiabetic drug therapy (triple therapy). Number of Antidiabetic injectables encountered are 47 and are briefly described in table 7. Classes of drugs prescribed by generics were included in table.

Sl no:

MONOTHERAPY

NUMBER

PERCENTAGE%

1

Metformin

24

5.78%

2

Voglibose

17

4.09%

3

Canagliflozin

5

1.20%

4

Glimepiride

4

0.96%

5

Sitagliptin

4

0.96%

6

Vidagliptin

4

0.96%

7

Acarbose

3

0.72%

8

Dapaglifozin

3

0.72%

9

Pioglitazone

3

0.72%

10

Gliclazide

1

0.24%

11

Linagliptine

1

0.24%

Table 4: Drug Utilisation Pattern of Antidiabetic Therapy (Monotherapy).

Sl no:

DUAL THERAPY

NUM BER

PERCENTAGE %

1

Glimepiride + Metformin

96

23.13%

2

Teneligliptin+ Metformin

67

16.14%

3

Sitagliptine + Metformin

23

5.54%

4

Voglibose + Metformin

13

3.13%

5

Metformin + Pioglitazone

07

1.68%

6

Gliclazide + Metformin

05

1.20%

7

Glipizide + Metformin

03

0.72%

8

Vidagliptine + Metformin

03

0.72%

9

Metformin + Saxagliptine

03

0.72%

10

Linagliptine + Metformin

02

0.48%

11

Acarbose + Metformin

02

0.48%

12

Metrformin + Glyburide

01

0.24%

13

Glimepiride + Pioglitazone

01

0.24%

Table 5: Drug Utilisation Pattern of Antidiabetic Therapy (Dual Therapy).

Sl no:

TRIPLE THERAPY

NUMBER

PERCENTAGE%

1

Glimepiride + Voglibose + Metformin

39

9.39%

2

Glimepiride + Pioglitazone + Metformin

18

4.33%

Table 6: Drug Utilisation Pattern of Antidiabetic Therapy (Triple Therapy).

Sl no:

TYPE OF INSULIN

NUMBER

PERCENTAGE%

1

Short acting

38

80.85%

(a) Human mixtard

20

42.55%

(b) Huminsulin

17

36.17%

(c) Actrapid

01

2.12%

2

Long acting

09

19.15%

(a) Insulin degludec

04

8.51%

(b) Toujeo insulin

05

10.68%

Table 7: Number of Antidiabetic Injectables.

Sl no:

TRIPLE THERAPY

NUMBER

PERCENTAGE%

1

Glimepiride + Voglibose + Metformin

39

9.39%

2

Glimepiride + Pioglitazone + Metformin

18

4.33%

Table 8-10 depicts the number of prescribed classes of drugs as per EML. Table discusses the summary of prescription evaluation as per WHO prescribing core indicators.

Sl no:

CLASSES OF DRUGS

NUMBER

1.

Antidiabetic

382

2.

Anti hypertensives

93

3.

Lipid lowering agents

25

4.

Antibiotics

18

5.

GI medications

13

6.

Antipsycotics

07

7.

Anti-histamines

05

8.

Anti-emetics

03

9.

Anti-fungal

01

10.

NSAID

01

Table 8: Prescribed Classes of Drugs Not As Per Eml.

Sl no:

PRESCRIBING INDICATOR

FREQUENCY

1.

Total number of prescriptions analysed

150

2.

Total number of drugs used in this study

135

3.

Percentage of drugs prescribed with generic name

0.43%

4.

Percentage of drugs with an oral anti-diabetic prescribed

59.9%

5.

Percentage of drug with an injection prescribed (antidiabetics).

6.8%

6.

Percentage of drug prescribed from the essential drug list (EDL) or formulary.

20.9%

Table 9: Who Prescribing Core Indicators.

Sl no:

DRUG PRESCRIBED

COST /tab(Rs)

ALTERNATE DRUG

COST

AMOUNT SAVED

1

Apriglim 0.5

5.2

Gemer 0.5

2.5

1.7

2

Zoryl m1 forte

7.4

Carbophage

5.14

2.26

3

Gluconorm g2

11.3

Adride-2m

7.25

4.05

4

Tenumet

11.7

Dynaglipt-m

8.99

2.8

5

T.zoryl mv2

16.6

Blistotrio 2

9.62

6.98

6

Istavel 50

41.2

Zita 50mg

13.98

27.3

7

Januvia

45

Zita 100mg

28.4

16.6

8

Glycomet gp

5.9

Glycerite gp1

4.4

1.5

9

Inj.Novomix

672.44

Novomix

530

142.4

10

Pioglit-mf

8.5

K pio m

2.8

5.7

11

Tenlimac

6.6

Dynaglipt 20 mg

5.99

0.7

12

Eriglip

10

Dynaglipt 20

5.99

4.1

13

Gemer ds D3

10.7

Endoformin g3 mg

7.28

3.4

14

Istavel 100

45

Zita 100

28.42

16.58

15

Pioz mf

8.79

K pio m

2.83

5.9

16

Preclazide m

7.5

Glycerite gz

4

3.5

17

Trivolib

16.2

Endoglim trio 2.2

9.62

6.58

18

Inj . lantus

2711.84

Basalog

467.5

2243

19

Volix trio 2

16.2

Endoglim trio 2.2

9.62

6.58

20

Gluconorm g1

7.72

Glycerite gp1

4.4

3.32

21

Glimisave mv2

15.4

Endoglim trio 2.2

9.62

5.78

22

Glyciphage

1.52

Bigomet 500

0.98

0.54

23

Teneliglinase

10.7

Galega gv1

7.5

3.2

24

Tenali m 500

11.69

Dynaglypt m

8.99

2.7

25

Inogla

11.4

Dynaglipt 20

5.99

5.41

26

Duvanta

10.6

Ambidext 30

9.85

0.75

27

Gemer ds

7.4

Duopil 1mg forte

5.14

2.26

28

Gluconorm g2

11.36

Carbophage g2

7.25

4.11

29

Endoformin g2

9.65

Carbophage g2

7.25

2.4

30

Teniva m

11.96

Dynaglipt m

8.99

2.97

31

Glycomet sr

3.2

Bigomet 850

1.47

1.73

32

Teneza m

13.44

Dynaglipt m forte

9.99

3.45

33

T Volga m

5.05

Dbose m

4.84

0.21

34

Januvia 100

45

Zita 100

28.4

16.6

35

Zoryl 1

3.65

Adride 1

2.37

1.28

36

T glip m

11.96

Dynaglipt m

8.99

2.97

37

Ziten m

12.2

Dynaglipt m

9.9

2.3

38

Glypride

5.78

Adride 2

3.08

2.7

39

Tenepure

10.88

Dynaglipt 20

5.99

4.89

40

Basugine

2465

Glaritus

1580

885

41

H.mixtard

143

Humistard

142

1

42

Loyzide xr

9.5

Diabend mr

6.2

3.3

43

Glucobay

7.3

AC

4.6

2.7

44

H. actrapid

143

Insucare r

140

3

45

Voglimac

9

D bose m

4.8

4.2

46

Tenafit

7.9

Dynaglipt m

6.5

1.4

47

T glip

10.8

Dynaglipt

5.9

4.9

48

Glipijub m

12.4

Dynaglipt m

8.9

3.12

49

Galvus mf

26.5

Jalra 50

25.71

0.79

50

Apriglim m3

9.9

Azulix mf3

5.87

4.08

51

Inogla m

13.4

Dynaglipt m forte

9.99

3.41

52

Tenglyn m

13.9

Dynaglipt m

8.9

5

53

Zoryl

5.79

Adride

3.08

2.71

54

Glycomet gp2

8.66

Carbophage g2

7.25

1.41

55

Glimisave m3

8.59

Azulix mf3

5.87

1.46

56

Voglibite gm

7.86

Galega gv1

7.5

0.36

57

Zetaglim mv2

9.7

Endoglim trio

9.62

0.08

58

Vosafe m

5.8

D bose m

4.84

0.96

59

Riomet od

3.7

Bigomet sr

3.21

0.49

60

Triposmeal 2

16.51

Endoglim trio

9.62

6.89

61

Zoryl forte m3

11.3

Endoformin g3 forte

7.28

4.02

62

Istamet xr cp

335

Janumet xr

334.6

0.4

63

Gluconorm vg2

16.93

Voglo gm2

12.2

4.73

64

Glynase mf

1.39

Glirum mf

1.01

0.38

65

Geminor m2

7.8

Carbophage g2

7.25

0.55

66

Glynamic m1

5

Glycerite gp1

4.4

0.6

67

Tenlimac

6.6

Dynaglipt 20

5.99

0.61

68

Tglip m

12.5

Dynaglipt m

9.9

2.6

69

Voglimac gm

14.6

Blisto trio

9.7

4.9

70

Glynamic m1

5

Glycerite gp1

4.4

0.6

71

Volga trio2

10.39

Blisto trio 2

9.7

0.69

72

Glypten

9.9

Dynaglipt 20

5.9

4

73

Glimipac m2

7.5

Carbophage g2

7.25

0.25

74

Glitaray m3

8.6

Azulix mf

5.87

2.73

75

Zetaglim mv1

8.7

Galega gv1

7.5

1.2

76

Teneliglip

9.9

Dynaglipt

5.9

4

77

Trivolib 2

16.2

Endoglim trio

9.62

6.58

78

Zoryl m2

10.2

Carbophage g2

7.25

2.95

79

Glipijub m forte

15.05

Dynaglipt m forte

9.9

5.15

80

Janumet

24.5

Zitamet

11.7

12.8

81

Vogloyd m

7.26

D bose m

4.84

2.42

82

Glucobay

7.37

AC

4.6

2.77

83

Tenlimac

6.6

Dynaglipt 20

5.9

0.7

84

Olymprix m

12.85

Dynaglipt m

8.99

3.86

85

Glynamic m1

5

Glycerite gp1

4.4

0.6

86

Glimirep

5.5

Glycerite gp1

4.4

1.1

87

Volix m

9.7

D bose m

4.84

4.86

88

Zoryl mv1

12.6

Galega gv1

7.5

5.1

89

Tenebite m

15.62

Dynaglipt m forte

9.9

5.7

90

Preclazide m

5.8

Semi glizid m

4.47

1.33

91

Istamet

23.2

Zitamet

11.7

11.5

92

Gluconorm g

7.72

Glycerite gp1

4.43

3.32

93

Pioz

4.77

K pioz

2.6

2.17

94

Gemer ds2

9.9

Carbophage g2

8.06

1.84

95

Volix trio 1

12.2

Galega gv1

7.5

4.7

96

Istamet

23.2

Zitamet

11.7

11.5

97

Trivolib 2

16.2

Endoglim trio

9.62

6.58

98

Zitamet

13.36

Dynaglipt m

9.9

3.46

99

Tenuvia

9.9

Dynaglipt 20

5.9

4

100

Gemer ds1

7.4

Duopil

5.14

2.26

101

Galvus met

27.89

Zomelis

19.8

8.09

102

Tendia m

10.77

Dynaglipt m

8.99

1.78

103

Walformin

7.67

Glycerite gz

4

3.67

104

Vobit

16.93

Endoglim trio2

9.62

7.31

105

Glyciphage

1.52

Glycerite

1.1

0.42

106

Gemer

6.5

Glycerite gp1

4.4

2.1

107

Inj Basugine

2465

Glaritus

1580

885

108

Glimisave m4

10.52

Glador

7.25

3.27

109

Tendia m

10.7

Dynaglipt m

8.9

1.8

110

Ziten

16.2

Dynaglipt

5.9

10.3

111

Galvus

26.5

Jalra 50

25.7

0.8

112

Zita met plus

13.3

Dynaglipt m

9.9

3.4

113

Sulisent

54.9

Invokana

54.5

0.4

114

Vofid m

5.7

D bose m

4.8

0.9

115

Agivog

9.5

Voglicare

7.7

1.8

116

HHGlim

6.1

Glycirite gp1

4.4

1.7

117

Teneza m

12.8

dynaglipt

8.9

3.9

118

Voglistar md

4.6

Prandial md

4.5

0.1

119

Volibo

8

D Bose

6.4

1.6

120

Pioglipt mf

8.5

K Pio m

2.83

5.67

121

Jubiglim

4.5

Adride

3

1.5

122

Glorimet vg2

9.7

Endoglim trio

9.6

0.1

123

PPG met

7.6

D Bose m

4.84

2.76

124

Volga m

6

K Met duo

5.5

0.5

125

Pioz mf

8.79

K Pio m

4.25

4.54

126

Metgem

3.54

Bigomet sr

3.21

0.33

127

Voglimac gm

14.6

Endoglim trio2

9.62

4.98

128

Afoglip m

11.7

Dynaglipt m

8.9

2.8

129

Endoformin g2

9.65

Adride 2m

8.4

1.25

130

Tvobit

16.9

Endoglim trio

9.62

7.3

131

Tenepride m

11.69

Dynaglipt m

8.99

2.7

132

Tendia m forte

12

Dynaglipt m forte

9.99

2.1

133

Voglic m

8.5

D Bose m

6.4

2.1

134

Azulix

5.78

Adride 2

3.08

2.7

Table 10: Pharmacoeconomic Evaluation of the Prescribed Drugs.

Discussion

The study involved 150 prescriptions and we found a higher incidence of diabetes in elderly patients with a high incidence in age group of 50-65 years (40%). In general patients developing diabetes mellitus are in age group of more than 50 years. In our study 52% males and 48% females had diabetes mellitus. The study of prescribing pattern and evaluation of the prescribing practice may recommend necessary modifications to achieve rational and cost-effective medical care by practitioners for making medical care rational.

The percentage of drugs prescribed by generic name in the present study showed 0.4%. The classes of drugs prescribed by the generic names are very few which include anti-diabetics. The prescribers of our hospital need to improve in prescribing pattern by using more of generic name. Our study showed much lower percentage of prescriptions with generic name. The reason for which could be many; namely lucrative advertisements by the pharmaceutical companies, limited awareness about the prescribing guidelines of WHO by the prescribers, insufficient availability of generic drugs in our pharmacy.

The study involved 137 prescriptions (100%) of patients with Type 2 diabetes. The drug utilization pattern for prescribed antidiabetics was also evaluated which included the number of drugs given under monotherapy were 132(31.80%) and drugs under dual therapy were 226(54.45%) and drugs under triple therapy were 57(13.73%), and we found that more number of antidiabetic drugs were dual therapy which is 54.45%.

The drug utilization pattern of antidiabetic drugs under monotherapy were evaluated and found metformin (5.78%) is the most commonly prescribed. This study also evaluated the drug utilization patterns of antidiabetic drugs under dual therapy and found that glimepiride + metformin is the most commonly prescribed dual therapy drug which is about 96(23.1%), followed by teneligliptin + metformin(16.1%), sitagliptin + metformin(5.5%), voglibose + metformin(3.1%).In the drug utilization pattern of antidiabetic drug under triple therapy, glimepiride + voglibose + metformin is most commonly given which is 9.39% followed by glimepiride + pioglitazone + metformin which is 4.33%.

The prescriptions of injectables used during the course of the study were evaluated from which Human mixtard, Huminsulin, Human Actrapid which are the short acting insulins were most commonly prescribed which is about 80.85% and followed by long acting insulin which is 19.15%.

The study was done using the WHO core indicators which includes:

The total no. of prescriptions analyzed were 150

Total no. of drugs used in the study were 135 drugs

Percentage of drugs prescribed with generic name were 0.43%

Percentage of drugs with an anti-diabetics prescribed were 59.9%

Percentage of drugs with an injectables were 6.8%

Conclusion

The current study aimed at studying current prescribing trend for antidiabetic agents. The study showed that metformin is the most commonly prescribed antidiabetic drug. The prescribing trend also appears to be moving towards combination therapy particularly dual drug therapies. Percentage of prescriptions by generic name was very low which is considered to be irrational the assement of existing prescribing patterns help to identify specific drug use problems which need to be understand before any meaningful intervention takes place. Therefore, it is recommended that to achieve therapeutic goal and adherence physician have to adhere to update guidelines and must avoid to prescribe cheap quality pharmaceutical products.

References

  1. Upadhyay DK, Palaian S, Ravi Shankar P, Mishra P, Sah AK (2007) Prescribing Pattern in Diabetic Outpatients in a Tertiary Care Teaching Hospital in Nepal. Journal of Clinical and Diagnostic Research 1: 248255.
  2. Adibe MO, Aguwa CN, Ukwe CV, Okonta JM, Udeogaranya PO (2009) Outpatient Utilization of Anti-Diabetic Drugs in The South Eastern Nigeria. International Journal of Drug Development and Research 1: 27.
  3. Hassan Y, Mathialagan A, Awaisu A, Abd. Aziz N,Yahaya R and Salhani A (2009) Trend in the Use of Oral Hypoglycaemic Agents in an Outpatient Pharmacy Department of a Tertiary Hospital in Malaysia. Asian Journal of Pharmaceutical and Clinical Research 2: 40-46.
  4. Arauz-Pacheco C, Parrott MA, Raskin P, et al. (2004) Hypertension Management in Adults with Diabetes. Diabetes Care 27: S65-67.
  5. Zimmerman BR (2000) Management to Decrease Cardiovascular Disease in Patients with Type 2Diabetes. Medicina 60: 15-17.
  6. Enwere OO, Salako BL, Falade CO (2006) Prescription and Cost Consideration at a Diabetic Clinicin Ibadan, Nigeria: A report. Annals of Ibadan Postgraduate Medicine 4: 35-39.
  7. Jayanth KB, Sunil KR (2014) Prescribing Pattern for Treatment of Diabetes Mellitus Type 2 withHypertension: An Analysis of Cost Effectiveness 4: 2249-3387.
  8. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, et al. (2012) global burden of hypertension :analysis of worldwide data. Lancet365: 217-223.
  9. Global Health Risks: Mortality and burden of diseases attributable to selected major risks [Internet]. WHO 2009 [cited 2012 Oct].
  10. No authors listed (1993) Hypertension in Diabetes Study (HDS): I. Prevalence of hypertension in newly presenting type 2 diabetic patients and the association with risk factors for cardiovascular and diabetic complications. J Hypertens 11: 309-317.

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