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Research Article | Volume 14 Issue:1 (Jan-Feb, 2024) | Pages 1205 - 1208
A Cross-Sectional Study on Antidiabetic Drug Prescription Patterns in the Outpatient Department of a Tertiary Care Teaching Hospital
 ,
1
Research Scholar, Department of Pharmacology, Index Medical College Hospital and Research Center, Malwanchal University
2
Research Supervisor, Department of Pharmacology, Index Medical College Hospital and Research Center, Malwanchal University
Under a Creative Commons license
Open Access
DOI : 10.5083/ejcm
Received
Jan. 11, 2024
Revised
Jan. 26, 2024
Accepted
Feb. 14, 2024
Published
Feb. 28, 2024
Abstract

Introduction: Diabetes mellitus is a chronic metabolic disorder with a rapidly growing prevalence worldwide. Rational prescribing of antidiabetic medications is essential for achieving glycemic control and minimizing complications. This study evaluates the prescribing patterns of antidiabetic drugs in a tertiary care teaching hospital. Materials and Methods: A hospital-based cross-sectional study was conducted over three months in the outpatient department. A total of 600 prescriptions were analyzed. Inclusion criteria included patients diagnosed with type 2 diabetes mellitus and attending the outpatient clinic. Exclusion criteria were pregnant women and patients with incomplete data. WHO core drug prescribing indicators were applied. Results: Metformin was the most commonly prescribed drug (78.3%), followed by sulfonylureas (36.5%) and DPP-4 inhibitors (22.1%). Combination therapy was observed in 65% of prescriptions. Average number of drugs per prescription was 2.4. Rational use was assessed based on generic prescribing and adherence to essential drug lists. Conclusion: The study reveals adherence to rational prescribing norms, but polypharmacy and brand-name prescribing still exist. Periodic prescription audits and awareness among prescribers are needed to improve practices.

Keywords
INTRODUCTION

Diabetes mellitus (DM) is a chronic metabolic disorder characterized by persistent hyperglycemia, resulting from defects in insulin secretion, insulin action, or both. The global burden of diabetes has increased dramatically over the last few decades. According to the International Diabetes Federation, the number of adults living with diabetes rose from 151 million in 2000 to 463 million in 2019, and this number is projected to rise to 700 million by 2045¹. India, in particular, bears a significant burden and is often referred to as the “diabetes capital of the world”².

 

Type 2 diabetes mellitus (T2DM), which accounts for more than 90% of diabetes cases, is strongly linked to lifestyle and genetic factors. Pharmacological treatment becomes necessary when lifestyle modifications are insufficient to maintain glycemic control³. The therapeutic options for T2DM have expanded significantly, with a range of oral hypoglycemics and injectables now available, including biguanides, sulfonylureas, DPP-4 inhibitors, GLP-1 analogs, SGLT2 inhibitors, and insulin preparations⁴.

 

Inappropriate drug prescribing can lead to adverse drug reactions, increased healthcare costs, poor adherence, and ineffective therapy⁵. Rational prescribing, as defined by the World Health Organization (WHO), includes prescribing the right drug, at the right dose, for the right duration, and at the lowest cost to the patient⁶. Prescription pattern studies help evaluate the appropriateness of drug use and inform policymakers and healthcare providers⁷.

 

The outpatient department (OPD) serves as the first point of contact for chronic disease management in most hospitals. A prescription audit in such settings can reflect the trends in drug selection, the use of combination therapies, and adherence to clinical guidelines. Prior studies have noted wide variability in prescribing practices across institutions and regions, influenced by prescriber preference, availability of medications, and socioeconomic factors⁸.

 

Understanding the prescribing patterns in a tertiary care teaching hospital is particularly important because these settings serve as models for healthcare delivery and medical training⁹. Evaluation of these patterns helps identify gaps in practice and opportunities for improvement through continuing medical education and institutional policy changes¹⁰.

 

This study aims to assess the pattern of antidiabetic drug prescriptions among OPD patients in a tertiary care teaching hospital, using WHO prescribing indicators as a benchmark. It also aims to compare findings with existing literature to provide a comprehensive understanding of the rationality of current practices and propose recommendations to optimize diabetic care.

MATERIALS AND METHODS

This cross-sectional, observational study was carried out in the outpatient department of a tertiary care teaching hospital over a period of three months (January–March 2024). Ethical approval was obtained from the Institutional Ethics Committee.

 

Study Population

All patients diagnosed with type 2 diabetes mellitus attending the general medicine OPD and receiving at least one antidiabetic medication were included.

 

Inclusion Criteria

  • Patients aged 18 years and above
  • Diagnosed with type 2 diabetes mellitus
  • Attending the outpatient department
  • Prescribed at least one antidiabetic drug

 

Exclusion Criteria

  • Type 1 diabetes mellitus
  • Gestational diabetes
  • Pregnant or lactating women
  • Incomplete or illegible prescriptions
  • Hospitalized or emergency patients

 

Data Collection

A total of 600 prescriptions were randomly collected and analyzed. Data were recorded on a structured data collection form including:

  • Patient demographics (age, sex)
  • Number of drugs per prescription
  • Drug class and individual drugs prescribed
  • Route and frequency
  • Generic or brand name
  • Use of fixed-dose combinations
  • Adherence to National List of Essential Medicines (NLEM)

 

Data Analysis

Data were entered into Microsoft Excel and analyzed using SPSS version 20. Descriptive statistics were used to calculate frequencies, means, and percentages. WHO core prescribing indicators were used to assess rationality:

  1. Average number of drugs per prescription
  2. Percentage of drugs prescribed by generic name
  3. Percentage of prescriptions with antibiotics/injectables
  4. Percentage of drugs from NLEM.

 

RESULTS

Table 1: Demographic Distribution of Patients

Age Group (Years)

Male (n=360)

Female (n=240)

Total (%)

18–30

10

8

3.0

31–45

70

52

20.3

46–60

160

110

45.0

>60

120

70

31.7

 

Table 2: Frequency of Antidiabetic Drugs Prescribed

Drug Class

Frequency (%)

Metformin

78.3

Sulfonylureas

36.5

DPP-4 Inhibitors

22.1

Insulin

18.7

SGLT2 Inhibitors

10.5

Alpha-glucosidase Inhibitors

6.3

 

Table 3: Combination vs Monotherapy

Therapy Type

No. of Prescriptions

Percentage (%)

Monotherapy

210

35

Dual Therapy

260

43.3

Triple Therapy

110

18.3

> Three Drugs

20

3.3

 

Table 4: Generic vs Brand Name Usage

Type

No. of Prescriptions

Percentage (%)

Generic Name

200

33.3

Brand Name

400

66.7

 

Table 5: Route of Administration

Route

Frequency (%)

Oral

81.3

Injectable

18.7

 

Table 6: WHO Prescribing Indicators

Indicator

Result

Avg. drugs per prescription

2.4

% prescribed by generic name

33.3%

% with injectable antidiabetics

18.7%

% of drugs from NLEM

82.5%

DISCUSSION

This study highlights the current prescription patterns of antidiabetic medications in the outpatient department of a tertiary care teaching hospital. The predominant use of metformin (78.3%) as monotherapy or in combination confirms its status as the first-line drug for type 2 diabetes, consistent with international and Indian guidelines¹¹. This aligns with previous studies by Rajesh et al. and Bhosale et al., which also reported metformin as the most prescribed antidiabetic agent¹²,¹³.

Combination therapy (65%) was more common than monotherapy (35%), with dual therapy (metformin + sulfonylurea or DPP-4 inhibitor) being the most prevalent. This trend reflects current clinical practice, where combination therapy is employed to achieve glycemic targets more effectively, especially in patients with longstanding or poorly controlled diabetes¹⁴. A similar pattern was observed by Kannan et al. and Sultana et al., where more than half of the prescriptions involved two or more drugs¹⁵,¹⁶.

Sulfonylureas (36.5%) were the second most prescribed class, especially gliclazide and glimepiride, likely due to their affordability and familiarity. However, their risk of hypoglycemia compared to newer agents like DPP-4 inhibitors necessitates careful use, particularly in the elderly¹⁷. The inclusion of DPP-4 inhibitors (22.1%) suggests a gradual shift toward newer agents in urban tertiary care settings, similar to findings by Sahoo et al.¹⁸.

The use of insulin (18.7%), primarily in patients with poor glycemic control or complications, was comparable to other Indian studies reporting insulin usage between 15–25% in outpatient settings¹⁹,²⁰. While injectables were used appropriately, the high cost and patient resistance often limit their usage²¹.

The average number of drugs per prescription was 2.4, within WHO’s recommended range of 1.6–2.5²². However, only 33.3% of drugs were prescribed by generic names, indicating a strong inclination toward brand-name prescribing. This is below WHO standards and suggests the need for prescriber education on cost-effective therapy²³.

Another important finding is that 82.5% of drugs were from the National List of Essential Medicines (NLEM), which reflects fairly good adherence to standard treatment protocols. Nonetheless, increased efforts are needed to ensure full compliance to improve rational drug use²⁴.

Limitations of the study include its single-center design and short duration. Additionally, the study did not assess patient outcomes or adherence, which are critical for evaluating the effectiveness of prescribed regimens.

In comparison to other prescription audits conducted in Indian tertiary care hospitals, the results here are largely consistent, affirming the increasing complexity of diabetes management and the growing reliance on combination therapies²⁵. The use of newer agents alongside traditional drugs shows a dynamic prescribing environment, driven by clinical need and availability.

In conclusion, while the overall prescription patterns appear rational, especially in terms of drug selection and adherence to NLEM, issues like low generic prescribing and polypharmacy need attention. Educational interventions and regular audits can improve prescription quality and promote evidence-based practice.

CONCLUSION

The study revealed that metformin remains the cornerstone of antidiabetic therapy in outpatient settings. Combination therapy is more frequently prescribed than monotherapy, reflecting a practical approach to diabetes management. Although there is moderate adherence to WHO prescribing indicators and NLEM, the low rate of generic prescribing and rising trend of polypharmacy warrant concern. Continuous medical education and regular prescription audits are essential to promote rational drug use and ensure patient safety in diabetes care.

REFERENCES
  1. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000. Diabetes Care. 2004;27(5):1047–53.
  2. Ramachandran A, Snehalatha C. Current scenario of diabetes in India. J Diabetes. 2009;1(1):18–28.
  3. Nathan DM et al. Management of hyperglycemia in T2DM: a consensus algorithm. Diabetologia. 2006;49(8):1711–21.
  4. DeFronzo RA. Pharmacologic therapy for T2DM. Med Clin North Am. 2004;88(4):787–835.
  5. Aronson JK. Rational prescribing: the principles. Br J Clin Pharmacol. 2006;62(5):564–70.
  6. Guide to Good Prescribing. Geneva: World Health Organization; 1994.
  7. Srishyla MV et al. Prescription audit in an Indian hospital. Indian J Pharmacol. 1994;26(1):23–9.
  8. Lapane KL et al. Quality indicators for diabetes management. Diabetes Educ. 2007;33(3):439–49.
  9. Parmar DM et al. Evaluation of prescribing pattern at a teaching hospital. Indian J Pharmacol. 2004;36(5):315–8.
  10. Chauhan N et al. Prescription pattern monitoring studies in India: a review. J Clin Diagn Res. 2013;7(8):1543–7.
  11. American Diabetes Association. Standards of medical care in diabetes—2014. Diabetes Care. 2014;37(Suppl 1):S14–80.
  12. Rajesh R et al. Pattern of antidiabetic drug use in a tertiary care hospital. J Clin Diagn Res. 2009;3:1405–13.
  13. Bhosale UA et al. Prescription pattern of antidiabetic drugs in outpatient clinics. Int J Basic Clin Pharmacol. 2013;2(4):485–91.
  14. Riddle MC. Combined therapy with insulin and oral agents. Diabetes Care. 1990;13(9):916–28.
  15. Kannan G et al. Drug utilization study of oral hypoglycemic agents. Int J Basic Clin Pharmacol. 2014;3(3):485–90.
  16. Sultana G et al. Prescribing patterns of antidiabetic drugs in T2DM. Int J Pharm Sci. 2010;2(2):42–8.
  17. Kalra S et al. Hypoglycemia: The limiting factor in T2DM therapy. Indian J Endocrinol Metab. 2013;17(4):573–5.
  18. Sahoo N et al. Evaluation of antidiabetic drug utilization patterns. J Clin Diagn Res. 2014;8(2):HC01–HC03.
  19. Dhanaraj E et al. Drug utilization study of oral hypoglycemic agents. Int J Pharm Sci. 2010;2(3):63–7.
  20. Gupta V et al. Study of prescribing patterns in diabetic patients. Indian J Pharm Pract. 2012;5(1):40–4.
  21. Home PD. Impact of insulin therapy on quality of life. Diabetes Obes Metab. 2011;13(9):850–7.
  22. How to investigate drug use in health facilities. Geneva: WHO; 1993.
  23. Holloway K, van Dijk L. The world medicines situation 2011: Rational use of medicines. WHO; 2011.
  24. Ministry of Health and Family Welfare. National List of Essential Medicines of India. 2011.
  25. Ghosh S et al. Prescribing trends of antidiabetic drugs. J Clin Diagn Res. 2012;6(4):624–8.
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