ABSTRACT
Background
Diabetes Mellitus (DM) is a chronic metabolic condition characterized by high blood glucose levels and changes in carbohydrate, lipid and protein metabolism due to insulin secretion, action, or both.1 Diabetes affects 537 million persons worldwide in 2021 and its management and selection of antidiabetic drugs is a major health concern.
Objectives
The study was aimed to evaluate the prescription pattern of antidiabetic drugs in a tertiary care hospital in Hubballi, Karnataka.
Materials and Methods
It was a Prospective randomized controlled study where the participants were randomized into two groups i.e., the interventional or study group and control group.
Results
Of the 300 diabetic patients, 150 were included in the control group and another 150 in the observational group in which 218 (72.6%) were males and 82 (27.3%) were females. Males were higher than females. The maximum number of patients were in the age group of 61-70 years, followed by 51-60 years. 175 (58.33%) subjects were taking two medications followed by 82 (27.33%) were receiving three medications. 152 (50.66%) were receiving diabetic medications two times in a day followed 122 (40.66%) were taking once in a day. Out of 300 Patients, 205 (68.33%) patients were prescribed insulin, of which regular insulin was the highest.
Conclusion
It was found that metformin and insulin use is greater with higher use among middle-age patients. Regular insulin was the most often used insulin.
INTRODUCTION
Diabetes Mellitus (DM) is a chronic metabolic condition characterized by high blood glucose levels and changes in carbohydrate, lipid, and protein metabolism due to reduced insulin secretion, action, or both.1 It is the most common endocrine illness that is widely regarded as the most serious public health issue and concern to human health, impacting people in both developed and developing countries. This chronic illness can have a consequence on almost every system in the human body, resulting in long-term macro and microvascular complications.2
Global prevalence of DM is expected to increase by 5.4% and in India alone around 57.2 million population are expected to be diabetic by year 2025.3 Over the time DM may leads to serious health complications of heart,blood vessels, eyes, kidneys and nerves thus emphasizing the need of diagnosis, treatment, management and prevention. World Health Organization (WHO) has been putting efforts globally to prevent risk and provide equitable, comprehensive and affordable care to ensure quality treatment.4 Several standardised guidelines have been proposed by American Diabetes Association and Indian Council of Medical Research for effective care and managment Diabetes. Diabetes management either by insulin5 or non-insulin6 therapies have seriously associated comorbidities namely hypoglycemia, weight gain etc. necessitating the need for safer long term treatment modalities.7 Additional burden of polypharmacy and physicians incompetency to distinguish appropriate and inappropriate has been leading to adverse health outcomes in DM patients.8 Considering the chronic nature of diabetes management and long-term treatment regimen, there is need to asscess the class of antidiabetic drugs, their utilization, prescription pattern, drug regimens and adherence to WHO prescribing core indicators. Therefore the proposed study emphasizes on evaluation of utilization of Antidiabetic medications in DM patients.
MATERIALS AND METHODS
Study designed was a Prospective randomized controlled study where the participants were randomized into two groups i.e., the interventional or study group and control group. The study was conducted at a Vivekananda General Hospital, Hubballi, Karnataka. The target population for the study included patients diagnosed with DM. Population with DM, aged above 18 years who visited the general medicine ward outpatient and inpatient department during the study period were enrolled into the study. A total of 300 subjects divided into two groups of 150 each were considered for study. Data obtained from this study were grouped and analysed by tables using Statistical Package for Social Sciences (SPSS) version 21.0.
The data collected were analyzed using modified WHO prescribing core indicators core and WHO ATC Code as mentioned. The prescribing indicators that were measured included 1. Average number of drugs per encounter = Total number of drugs prescribed / total number of encounters 2. Percentage of drugs prescribed by generic name = (Number of drugs prescribed by generic name / Total number of drugs prescribed) x100 3. Percentage of encounter with antibiotics prescribed = (Number of patients encounters with antibiotics / Total number of drugs prescribed) x100 4. Percentage of encounters with injectable drug prescribed = (Number of patients encounters with injections / Total number of drugs prescribed) x100 5. Percentage of drugs prescribed from NLEM = Number of drugs prescribed from NLEM/ Total number of drugs prescribed) x 100.7
Randomization
Computer generated simple randomization was employed, while SNOSE method was used to allot participants randomly to the study group or control group. The randomization numbers under concealment and were known after recruiting the patient to the study by filling patient details on closed envelope. SNOSE method – Sequentially Numbered, Opaque, Sealed Envelopes (SNOSE) was used for concealment.
Study procedure
Once patients satisfied the eligibility criteria and consent was taken, patients were subjected for randomization to either study or control group. Sources of data were patient Data Collection Forms, Patient’s Case records during Hospital stay, Medication Charts and Lab reports.
Ethical Considerations
Ethical approval was obtained from the Institutional Ethical Committee of KLE Academy of Higher Education and Research. All the patients were randomized after the written informed consent. Reference number: KAHER/EC/19-20/290619004.
RESULTS
Of the 300 diabetic patients, 150 were included in the control group and another 150 in the observational group. The 300 patients with DM who were on oral hypoglycemic agents, insulin only or in combination with oral hypoglycemic agents were enrolled in the study, out of which 218 (72.67%) were males, and 82 (27.33%) were females. Males were higher than females. Among the study population, the maximum number of patients were in the age group of 61-70 years, followed by 51-60 years. Demographic details of enrolled patients are presented in Table 1.
Out of 300 subjects, 108 (36.00%) of subjects were found to be overweight, followed by 85 (28.33%) belonging to the obese class. Similarly, 102 (34.00%) subjects were shown to have diabetes duration of >10 years, and 28 (9.33%) were recently diagnosed subjects with less than one year of duration.
It was evident from Table 2 that, out of 300 study population, 175 (58.33%) subjects were taking two medications followed by 82 (27.33%) were receiving three medications. 121 (40.33%) of the subjects were found to be in Lower Middle socio-economic class, followed by 68 (22.67%) of subjects belonging to upper lower class.
It was revealed that out of 300 patients, 67 (22.33%) had total medicine expenditure each month of less than 100 rupees. Similarly, the total cost of medicine per month for 144 (48.00%) patients was between 100 and 200 rupees, whereas the total cost of drug per month for 89 (29.66%) patients was more than 200 rupees. Out of 300 study subjects, 152 (50.66%) were receiving diabetic medications two times in a day followed by 122 (40.66%) were taking once in a day. Whereas only about 26 (8.66%) subjects were taking diabetic medications three times a day. These results are shown in Table 3.
Of the 300 patients, 162 (54.00%) times Metformin and Sulfonylureas dual drug regimen was highest prescribed followed by 132 (44.00%) times metformin+regular insulin. In triple therapy, metformin+sulfonylureas+DPP4 inhibitors prescribed was 117 (39.00%) followed by Metformin+thiazolidine diones+alphaglucosidase inhibitors 48 (16.00%). The highest four drug regimen, Metformin+Voglibose+NPH insulin+Regular insulin was prescribed 18 (6.00%) times. These results are shown in Table 4.
Out of 300 Patients, 205 (68.33%) patients were prescribed with insulin, of which regular insulin was the highest. 203 (67.66%) patients were prescribed sulfonylureas, of which Glimepiride 78 (26.00%) was the most commonly prescribed drug. It was observed that 162 (54.00%) patients were prescribed with biguanides. α-Glucosidase Inhibitors in 102 (34.00%) patients and DPP-4 Inhibitors were prescribed in 61 (20.33%) patients of which vildagliptin was the most commonly prescribed drug. Thiazolidinediones class of drugs were prescribed in 80 (26.66%) patients, while GLP-1 analog 06 (02.00%), was the least prescribed drug. These results are shown in Table 5.
Variables | Sub variables | No. of Subjects | Percentage |
---|---|---|---|
Gender | Male | 218 | 72.67 |
Female | 82 | 27.33 | |
Age Distribution | 21-30 | 06 | 02.00 |
31-40 | 36 | 12.00 | |
41-50 | 52 | 17.33 | |
51-60 | 74 | 24.67 | |
61-70 | 82 | 27.33 | |
>70 | 50 | 16.67 | |
BMI (kg/m2) | Underweight (< 18.5) | 33 | 11.00 |
Normal Weight (18.5-24.9) | 74 | 24.66 | |
Overweight (25-30) | 108 | 36.00 | |
Obese (> 30) | 85 | 28.33 | |
Duration of Diabetes | <1 Year | 28 | 09.33 |
1-5 Years | 76 | 25.33 | |
6-10 Years | 94 | 31.33 | |
>10 Years | 102 | 34.00 |
Sl. Noo | No. of Medications | No. of Subjects | Percentage | Socio-Economic Status | No. of Subjects | Percentage |
---|---|---|---|---|---|---|
1 | One | 18 | 06.00 | Upper | 27 | 09.00 |
2 | Two | 175 | 58.33 | Upper Middle | 48 | 16.00 |
3 | Three | 82 | 27.33 | Lower Middle | 121 | 40.33 |
4 | Four | 16 | 5.33 | Upper lower | 68 | 22.67 |
5 | > Four | 09 | 3.00 | Lower | 36 | 12.00 |
Sl. No | Cost of drug/month | No. of Subjects | Percentage | Regimen | No. of Subjects | Percentage |
---|---|---|---|---|---|---|
1 | <100 | 67 | 22.33 | Once Daily | 122 | 40.66 |
2 | 100-200 | 144 | 48.00 | Twice Daily | 152 | 50.66 |
3 | >200 | 89 | 29.66 | Thrice Daily | 26 | 8.66 |
Table 6 demonstrates adherence to WHO drug prescribing indicators. The total number of drugs prescribed in 300 prescriptions were 819. The average number of drugs per encounter was found to be 2.73. The percentage of drugs prescribed in generic name was 58.60% and the percentage of antibiotics and injectable drugs were found to be 22.22% and 29.91% respectively. The percentage of drugs prescribed from Essential drug list was 82.17%. Fixed dose combinations of various drugs in the prescriptions studied was found to be 98.29%.
DISCUSSION
In India, Diabetes is a serious health issue. DM is defined by the World Health Organization as a chronic, metabolic condition marked by increased blood glucose (or blood sugar) levels that lead to significant damage to the heart, blood vessels, eyes, kidneys, and nerves over time.9 Drug use is defined by the WHO as the marketing, distribution, prescription, and use of pharmaceuticals in a society, taking into account the medical, social, and economic repercussions.10 According to the WHO, India had 32 million diabetes patients in 2000, which is expected to rise to 80 million by 2030. Diabetes is becoming more prevalent in India at an alarming rate, necessitating more public knowledge regarding the causes of diabetes and its repercussions.11
Sl. No | Name of the drugs | Number of times prescribed | Percentage |
---|---|---|---|
Dual drug regimens | |||
1 | Metformin+sulfonylureas | 162 | 54.00 |
2 | Metformin+thiazolidine diones | 80 | 26.66 |
3 | Metformin+alphaglucosidase inhibitors | 44 | 14.66 |
4 | Metformin+DPP4 inhibitors | 37 | 12.33 |
5 | Metformin+meglitinides | 21 | 07.00 |
6 | Sulfonylureas+thiazolidine diones | 64 | 11.33 |
7 | Sulfonylureas+alphaglucosidase inhibitors | 27 | 09.00 |
8 | Metformin + regular insulin | 132 | 44.00 |
Total Dual drug regimens (n) = 567 | |||
Triple drug regimens | |||
8 | Metformin+sulfonyl ureas+ DPP4 inhibitors | 117 | 39.00 |
9 | Metformin+thiazolidine diones+alphaglucosidase inhibitors | 48 | 16.00 |
10 | Metformin + acarbose + premixed insulin | 31 | 10.33 |
Total Triple drug regimens (n) = 196 | |||
Four drug regimens | |||
11 | Metformin + voglibose + NPH insulin + regular insulin | 18 | 06.00 |
12 | Metformin + glimepiride + pioglitazone + voglibose | 24 | 08.00 |
Total Four drug regimens (n) = 42 |
During the course of the study, 300 diabetic individuals were analysed, and it was discovered that males had a higher prevalence of diabetes than females (Males 72.60%; Females 27.30%). A similar study by Vengurlekar S et al., Boccuzzi SJ et al., Johnson et al., Yurgin N et al., found that males had a higher prevalence of diabetes than females, while a few studies by Lisha et al., Saiyad et al., Ramesh R et al., contradicted our findings, which found a high proportion of diabetes in female patients.12–14
The majority of diabetes patients (27.33% and 24.67%) in this study are in the 61-70 and 51-60 year old age group respectively. Upadhyay et al. and Venkateswaramurthy et al. observed a greater incidence of diabetes in the same age range, which is consistent with our findings.13 According to the findings of our research, we found that more patients were obese and overweight. According to Boffetta et al., there is a clear link between BMI and diabetes prevalence in Asian people.11 Maximum patients in our research had a DM history less than ten years. These findings were comparable to the study conducted by Siddiq et al.2
Two medicines per prescription were found to be greater in the current investigation, comparable to Pankaj CK et al.5 The majority of the patients in this study were from the lower middle socioeconomic class, which contrasts with Ashutosh K et al. findings, which indicated that the upper middle socioeconomic class was dominant.9 Our study’s cost of medicine per month was between 100 and 200 rupees, which was lower in Pankaj CK et al’s study. The patients receiving diabetic medications two times in a day were higher which was similar by Siddiq et al.2
According to our findings, Patients hospitalized to the medicine ward were usually provided insulin, either as monotherapy or in combination with oral antidiabetic medications. Regular insulin was the most often administered insulin preparation (44.00%), followed by NPH insulin mixtard (14.00%) which was a similar outcome in the Mahmood et al. and Gautam et al. study.15 Metformin was the most commonly prescribed medicine for T2DM is metformin (54.00%). Metformin was administered as monotherapy or as part of a polytherapy followed by glimepiride (26.00%). Similar outcomes were found in a number of other studies done around the country.15 The increasing prevalence of insulin prescriptions, particularly regular insulin, is related to the fact that patients admitted to indoor wards with co morbidities frequently require insulin because of its safety profile and speedier start of action. This also decreases the risk of medication interactions and improves the hospitalized patients’ glycemic control.6
Because of its lengthy t1/2, higher extrapancreatic activity, reduced hyperinsulinemia, and lower incidence of hypoglycemia, glimepiride has emerged as a front-liner among the SU. An alpha-glucosidase inhibitor was employed as an adjunct therapy as a dual medication regime in 44 prescriptions with metformin because of considerable postprandial hyperglycemia with managed Fasting Plasma Glucose (FPG) in majority of these follow-up encounters, this was done in accordance with the 2016 standards of the International Diabetes Federation.4
Sl. No | ATC Code | Class of ADDs | Drugs (ATC Code) | Number of Patients | Percentage (%) |
---|---|---|---|---|---|
1 | A10BA | Biguanides | Metformin A10BA02 | 162 | 54.00 |
2 | A10BB | Sulfonylureas | Glimepiride A10BB12 | 78 | 26.00 |
Glipizide A10BB07 | 64 | 21.33 | |||
Glibenclamide A10BB01 | 47 | 15.66 | |||
Gliclazide A10BB09 | 14 | 04.66 | |||
Total | 203 | 67.66 | |||
3 | A10BF | α- Glucosidase inhibitors | Voglibose A10BF03 | 54 | 18.00 |
Acarbose A10BF01 | 32 | 10.66 | |||
Miglitol A10BF02 | 16 | 05.33 | |||
Total | 102 | 34.00 | |||
4 | A10BG | Thiazolidinediones | Pioglitazone A10BG03 | 53 | 17.66 |
Rosiglitazone A10BG02 | 27 | 09.00 | |||
Total | 80 | 26.66 | |||
5 | A10BH | Dipeptidyl peptidase-4 (DPP-4) inhibitors | Vildagliptin A10BH02 | 41 | 13.66 |
Linagliptin A10BH05 | 14 | 04.66 | |||
Tenegliptin A10BH08 | 06 | 02.00 | |||
Total | 61 | 20.33 | |||
6 | A10BJ | GLP-1 analog | Exenatide A10BJ01 | 06 | 02.00 |
7 | A10A | Insulin A10AB | Regular insulin A10AB01 | 132 | 44.00 |
NPH insulin A10AC | 42 | 14.00 | |||
premixed insulin A10AB30 | 31 | 10.33 | |||
Total | 205 | 68.33 |
Sl. No | Core Indicators | Value |
---|---|---|
1 | Average number of drugs prescribed per prescription. | 2.73 |
2 | Percentage of drugs prescribed by generic name. | 480 (58.60%) |
3 | Percentage of encounters with antibiotic prescribed. | 182 (22.22%) |
4 | Percentage of encounters with injectable drug prescribed. | 245 (29.91%) |
5 | Percentage of drugs prescribed from NLEM (National List of Essential Medicines). | 673 (82.17%) |
6 | Percentage of encounters with Fixed drug combination. | 805 (98.29%) |
Total number of drugs prescribed (n) = 819 |
Only 102 prescriptions out of 300 patients contained Voglibose 54 (18.00%), Acarbose 32 (10.66%) and Miglitol 16 (05.33%) where similar results found in the study by Lahiry S et al. It was against the evidence supporting the use of acarbose as a first-line adjuvant for lowering cardiovascular mortality in T2DM patients when compared to voglibose.4
Overall, thiazolidinediones are used as monotherapy by 80 (17.66%) of patients, with pioglitazone and rosiglitazone being used as add-on therapy by 53 (17.66%) and 27(09.00%) of patients, respectively and similar result by Pankaj CK et al.5 In 80 (26.66%) of the prescriptions, metformin and thiazolidinediones were prescribed together. It’s possible that pioglitazone was dispensed from the hospital pharmacy. Although the combination of metformin and pioglitazone has been demonstrated to improve insulin resistance and cardiovascular morbidity, it was found to be an underused class in our analysis, perhaps because of concerns about side effects.4,5
DPP4 inhibitors accounted in 61 prescriptions (20.33%) where Vildagliptin 41 (13.66%), Linagliptin 14 (04.66%) and Tenegliptin 06 (02.00%). A research by Pankaj CK et al. found a similar effect when it came to biguanides and sulfonylureas. Sulphonylureas were described as the most often prescribed antidiabetic medication in late 1990s studies in South Africa, the United States, and India by Truter I and Boccuzzi SJ et al., which contradicts the current study.5 The GLP-1 analog Exenatide 06 (02.00%) is less used anti-diabetic drug in the study.
This study showed that metformin + sulfonylureas 162 (54.00%) dual drug regime was the commonly used in most of the patients and which was similar in the study conducted by Lahiry S.4 It is followed by Metformin + regular insulin 132 (44.00%) and Metformin+thiazolidine diones 80 (26.66%).
Among three drug combination Metformin+sulfonyl ureas+ DPP4 inhibitors 117 (39.00%) were most frequently prescribed fixed dose combination. In four drug regime most widely used is Metformin + glimepiride + pioglitazone + Voglibose which accounts for 24 (08.00%) and Metformin + voglibose + NPH insulin + regular insulin is 18 (06.00%).14
We found out that the average number of drugs prescribed per prescription for treatment with antidiabetic drugs was almost half the average number of drugs per prescription found out by Okoro RN et al.16 Data was analysed for WHO drug utilization indicators in which we saw a trend of using generic name for prescribing which stood at 58.60%. This was way higher than the study done by Acharya, et al.17 The percentage of encounters with antibiotics prescribed is at 22.22% in our study. The percentage of prescriptions with injections/injectable drugs in our study was 29.91%, which is higher than the derived standard value for WHO (13.4-24.1%)18 and lower than the value reported by Sahu G et al.15 Hannan A et al. study showed the percentage of drugs prescribed from NLEM was 65.82% whereas our study shows the percentage of drugs prescribed from NLEM at 82.17%.19 We saw 98.29% of encounters with fixed drug combination.
This study has reported the antidiabetic drug usage pattern in different age groups with varying disease durations. The prescription patterns suggest the usage of wide class of antidiabetic drugs including different types of Insulin’s and oral hypoglycaemic agents in the study population. Since the DM is a chronic metabolic disorder, therapy cost, long term consequences, effect on comorbid conditions, and adverse drug reactions arising out of chronic diabetic medications are to be explored for better quality of life.
CONCLUSION
Diabetes should be managed properly to enhance the patient’s quality of life. The majority of the prescriptions in the research were reasonable, but there is still room for improvement. More than 90% of patients were diagnosed with type 2 diabetes. Oral hypoglycemic medications were administered often, indicating greater glycemia at the time of diagnosis. Based on the results of the randomization study on prescription patterns, which included 300 patients, it was found that metformin and insulin use is greater in men, with higher use among middle-age patients.
Regular insulin was the most often used insulin because it was less expensive than insulin analogues. Insulin preparations aid in the reduction of insulin resistance, resulting in improved glycemic control. Dose and duration, as well as interactions with other drugs, should all be considered while prescribing rationally. Patients and physicians should work together to achieve the goal of glucose levels and live a happier, healthier life.
References
- . 2. Classification and diagnosis of diabetes: standards of medical care in Diabetes-2020. Diabetes Care.. 2020;43(Suppl 1):S14-31. [PubMed] | [CrossRef] | [Google Scholar]
- Makhlough A, Makhlough M, Shokrzadeh M, Mohammadian M, Sedighi O, Faghihan M., et al. Comparing the levels of trace elements in patients with diabetic nephropathy and healthy individuals. Nephrourol Mon.. 2015;7(4):e28576 [PubMed] | [CrossRef] | [Google Scholar]
- Lodd E, Wiggenhauser LM, Morgenstern J, Fleming TH, Poschet G, Büttner M, et al. The combination of loss of glyoxalase1 and obesity results in hyperglycemia. JCI Insight. 2019;4(12) [PubMed] | [CrossRef] | [Google Scholar]
- Patke V, Saroj S. Erythrocyte enzymes of Glyoxalase system as indicators of beneficial effects of antihyperglycemic agents in Type 2 Diabetes. Int J Res Med Sci.. 2015;3(7):1650-6. [CrossRef] | [Google Scholar]
- Arpaci D, Tocoglu AG, Ergenc H, Korkmaz S, Ucar A, Tamer A., et al. Associations of serum magnesium levels with diabetes mellitus and diabetic complications. Hippokratia. 2015;19(2):153-7. [PubMed] | [Google Scholar]
- Wei J, Zeng C, Gong QY, Yang HB, Li XX, Lei GH, et al. The association between dietary selenium intake and diabetes: a cross-sectional study among middle-aged and older adults. Nutr J. 2015;14(1):18 [PubMed] | [CrossRef] | [Google Scholar]
- Eva H, Akhter QS, Alam MK, Ahmed S.. Serum chromium and selenium levels in type 2 diabetes mellitus. J Bangladesh Soc Physiol. 2017;12(2):72-5. [CrossRef] | [Google Scholar]
- Eva H, Akhter QS, Alam MK. Serum zinc and manganese levels in subjects with type 2 diabetes mellitus. J Bangladesh Soc Physiol. 2016;11(2):50-3. [CrossRef] | [Google Scholar]
- Mooradian AD, Morley JE. Micronutrient status in diabetes mellitus. Am J Clin Nutr. 1987;45(5):877-95. [PubMed] | [CrossRef] | [Google Scholar]
- Abou-Seif MA, Youssef AA. Evaluation of some biochemical changes in diabetic patients. Clin Chim Acta. 2004;346(2):161-70. [PubMed] | [CrossRef] | [Google Scholar]
- Riaz M, Mahmood KT, Irfan K. Serum levels of selenium in uncomplicated type-2 diabetic patients and healthy individuals. Int J Pharm Sci Res.. 2014;5(10):4219 [PubMed] | [CrossRef] | [Google Scholar]
- Sanjeevi N, Freeland-Graves J, Beretvas SN, Sachdev PK. Trace element status in type 2 diabetes: A meta-analysis. J Clin Diagn Res.. 2018;12(5):OE01-8. [PubMed] | [CrossRef] | [Google Scholar]
- Mohammed RR, Mehrez MM, Abdel-Maksoud H. Biochemical relations between copper, selenium, zinc, and magnesium with the glycemic state of diabetic pregnant women. Benha Med J.. 2018;35(3):344 [CrossRef] | [Google Scholar]
- Kim DJ, Xun P, Liu K, Loria C, Yokota K, Jacobs DR, et al. Magnesium intake in relation to systemic inflammation, insulin resistance and the incidence of diabetes. Diabetes Care. 2010;33(12):2604-10. [PubMed] | [CrossRef] | [Google Scholar]
- Sahu G, Gohain S, Brahma A. A.. Drug utilization pattern of antidiabetic drugs among indoor diabetic patients in a tertiary care teaching hospital, Jorhat. Biomedicine. 2021;40(4):512-5. [CrossRef] | [Google Scholar]
- Okoro RN, Nmeka C, Erah PO. Utilization study of antidiabetes medicines at a tertiary care hospital in Nigeria. Futur J PharmSci. 2018;4(2):109-15. [CrossRef] | [Google Scholar]
- Acharya KG, Shah KN, Solanki ND, Rana DA. Evaluation of antidiabetic prescriptions, cost and adherence to treatment guidelines: A prospective, cross-sectional study at a tertiary care teaching hospital. J Basic Clin Pharm.. 2013;4(4):82-7. [PubMed] | [CrossRef] | [Google Scholar]
- Desalegn AA. Assessment of drug use pattern using WHO prescribing indicators at Hawassa University teaching and referral hospital, south Ethiopia: a cross-sectional study. BMC Health Serv Res.. 2013;13:170 [PubMed] | [CrossRef] | [Google Scholar]
- Hannan A, Sinha SR, Ganiyani MA, Pustake M.. Drug utilization study of antidiabetic drugs in patients attending geriatric outpatient department in tertiary Care Hospital. Cureus.. 2021;13(8):e17555 [PubMed] | [CrossRef] | [Google Scholar]