Biography
Interests
Oluigbo Kennedy1, Ogbonna Brian, O.2,3*, Orah Jennifer Kosarachi1, Ejim Chuka, E.1, Onwuchuluba Ebele, E.4, Eze Uchenna, I. H.5, Achi James, C.2, Egere Eustace, C.1, Osuafor Nkeiruka, G.1, Omuta Michael7, Ovwighose Ogenetega, S.3, Nwafor Maureen, N.7, Ofor Amala, C.1, Ohiaeri Ifeyinwa, G.2, Onwumah Malachy, U.1, Nnamani Monica7, Ejie Izuchukwu, L.2, Umeh Ifeoma, B.2, Adenola Ugochi2, Anetoh Maureen, U.2, Umeh Ifeoma, B.2, Ezenekwe Lizette, N.2, Uzodinma Samuel, U.2, Maduka Anthony7, Okoye Ijeoma, M.2, Okpalanma Nneoma, N.6, Maduekwe Hilda, N.6, Okoye Ifunanya6, Okeke Anthony6, Offu Ogochukwu, F.1, Okengwu Ogadinma1 & Ajagu Nnenna1
1Department of Clinical Pharmacy and Bio-Pharmacy, Faculty of Pharmaceutical Sciences, Enugu State University
of Science and Technology, ESUT- Enugu, Nigeria
2Department of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, Nnamdi
Azikiwe University, Awka, Nigeria
3Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, David Umahi Federal University
of Health Sciences, Uburu, Nigeria
4Department of Clinical Pharmacy and Bio-Pharmacy, Faculty of Pharmacy, University of Lagos
5Department of Clinical Pharmacy and Biopharmacy, Faculty of Pharmacy, Olabisi Onabanjo University, Sagamu
Campus, Sagamu, Ogun State, Nigeria
6Department of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, Chukwuemeka
Odimegwu Ojukwu University, Igboariam, Nigeria
7Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Madonna University, Elele
Nigeria
*Correspondence to: Dr. Ogbonna Brian, O., Department of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka & Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, King David University of Medical Sciences, Uburu, Nigeria.
Copyright © 2023 Dr. Ogbonna Brian, O., et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Abbreviations
USD- United States Dollar, IDF- International Diabetes Federation, MOPD- Medical Out Patient
Department, ESUTH- Enugu State University Teaching Hospital, ESUT- Enugu State University of
Science and Technology, DM- Diabetes mellitus, T2DM- type 2 diabetes mellitus
Introduction
Diabetes mellitus, a disease characterized by persistent hyperglycemia continues to increase the cost of
healthcare provision worldwide. This disease has proven to be a pandemic and has been on the increase since
history can remember, with data collected worldwide, showing that over 151 million cases were reported in
the year 2000, approximately 194 million cases in 2003, 246 million in 2006, 285 million in 2010, and 415
million cases in 2015. The Diabetes Atlas Ninth 2019 edition of the International Diabetes Federation gave
the following statistics: that approximately 463 million adults were presently living with diabetes mellitus,
and by 2045 the number will increase to 700 million diabetic patients; of whom 79% of adults living in low
and middle-income countries with 1 in 2 (a total of 232 million) people with diabetes mellitus shall remain
undiagnosed. Diabetes mellitus caused 4.2 million deaths and at least USD 760 billion dollars in health
expenditure in just the 2019 calendar year alone being 10 percent of total spending on adults [1].
Diabetes mellitus can thus be said to be worldwide problem since even the World Health Organization predicts a 50% increase in the deaths associated with diabetes mellitus over the next ten years with already having 1.5 million direct diabetic deaths and an additional 2.2 million deaths resulting from complications in the year 2012, and that by 2030 diabetes mellitus would be seventh leading cause of death worldwide [2]. As of 1992, the Nigerian National Non-Communicable Disease Monitoring Survey estimated a prevalence of 2.2% DM patients in Nigeria [3], however in 2017 the disease prevalence had increased to 2.4 [4]. All these extrapolations are worrisome and underscore thus the need for this study to review the prescription pattern of antidiabetic agents, insulin and the oral hypoglycemic agents inclusive, of their outcomes to determine the most appropriate strategies in the effective management of diabetes mellitus.
Prescription or Medical Prescription often abbreviated Rx or Px is a health care program or order written by a physician or any other qualified medical practitioner to the pharmacist to compound and/or dispense specific medication(s) for the patient. Prescription Pattern explains the extent and profile of drug use, trends, quality of drug guidelines, usage of drugs from essential medicine list and use of generic drug and compliance with regional, state, or national guidelines [5]. It can further be said that prescription pattern monitoring, is a study tool for assessing the prescribing, dispensing and distribution of medicines. The main aim for this practice is to facilitate rational use of medicines. Rational Drug Use ensures that a patient receives the medication appropriate to their clinical needs, in doses that meet their own individual requirements for an adequate period of time and at the lowest cost available to them and their community [6]. Antidiabetic Agents these are drugs used in the treatment/management of diabetes mellitus by altering the glucose level in the blood via different mechanisms of actions. Examples of such drugs include insulin, biguanides, sulfonylurea, meglitinides, thiazolidinedione, dipeptidyl peptidase IV inhibitors and alpha glycosidase inhibitors. Outcome simply means the result and for this research outcome entails the efficacy of the prescription given to the antidiabetic patients. We analyzed the prescription pattern of antidiabetics, both insulin and oral hypoglycemics, treatment and its combination therapy in patients with diabetes mellitus with or without co-morbidities that visited the medical outpatient department of a Nigerian tertiary hospital.
Methods
The medical chart used for the study contained the following information: serial numbers of the patient, the
fasting blood glucose reading of the patient the first and the last day the patient visited the hospital within
the data collection period and the drugs prescribed that were relevant to the study.
This is a retrospective study carried out by collecting the relevant information from the case note of the
diabetic patients in Medical Out Patient Department (MOPD) of the ESUT Teaching Hospital, Enugu.
Overall, 402 diabetic patients that visited the medical outpatient department of ESUT Teaching Hospital
within the study duration were recruited into study as shown in Table 1.
Ethical approval was obtained from the research and ethics committee of ESUTH with the registeration
number: ESUTHP/C-MAC/RA1034/VOL. 1/258
The research was carried out using the case notes of the diabetic patients who visited the Medical Outpatient
Department of ESUT Teaching Hospital from 2017-2020
The research was carried out in the Medical Outpatient Department of Enugu State University of Science
and Technology Teaching Hospital. ESUTTH metamorphosed from the then Nursing Home established
in 1903 for the colonial masters to a first-class hospital for government officials and elites in the society in
1952. During the Nigerian civil war of 1967-1970, it was converted to a general hospital and used extensively
to treat the wounded. Gradual and progressive expansion led to establishment of Surgical, Maternity,
Theatre and Pediatric facilities in 1985. It was then approved for the training of house officers, became a
specialist hospital in November 2005 and then progressed to a teaching hospital in May 2006. Qualified
employees were thereafter recruited and specialized working in the aforementioned departments to carry
daily care of pateints’ care including complex procedures such as cholecystectomy, ovariectomy, skin grafting,
dialysis, cystolithotomy, myomectomy, vaginal hysterectomy and mastectomy [7].
All relevant and necessary information for the research was collected from the patients’ case notes and
prescriptions.
We collected data from prescriptions and folders of adult patients 18 years and above with diabetes who had
been diagnosed for atleast 12 months and have been on anti diabetes medications.
We excluded prescriptions and folders with incomplete information or data and those with gestational
diabetes.
This study was carried out by meticulously going through the case notes of 402 diabetic pateints that
visited the medical outpatient department. Using their case notes, information such as patient age, patient
gender, patient fasting blood glucose, and all the antidiabetic drugs prescribed to the patients. P <0.05 was
considered as statistically significant. All the data collected was analyzed using statistical package for social
science version 20.0 for calculations. The analysis carried out on the data included;
1. Categorization of the patients based on the therapy administered
2. Determination of the frequencies of the different classes of antidiabetics therapeutic regimens
3. Determination of the different combinations obtained in the study
4. Determination of the different age groups and their frequencies in the different therapeutic regimens
present in the study.
5. Frequency of gender in the different therapies.
6. Frequency and percentage of the final fasting blood glucose of the patients.
7. Use of the Pearson Chi-square association analysis to determine if the different therapies statistically had
any control on the glycemic level of the patients
Results
Where
I = Insulin
B = Biguanide
S = Sulphonylurea
D = Dipeptidyl peptidase Inhibitor
T = Thiazolidine
M = Meglitinide
A = Alpha glycosidase Inhibitor
ND=Not done
Discussion
This study made an attempt to study and describe the prescription pattern of antidiabetics along with its
outcome in the management of glycemic level of the blood in diabetic patients who visited the medical
outpatient department of Enugu State University of Science and Technology Teaching Hospital in Enugu
State, South Eastern part of the Nigeria The case notes of 402 patients were used for this study, 149 were
males while 253 were females this could be because men especially those in the middle class visited the hospital
only at extreme ill conditions. This could also be because women often had to cope with both their own
healthcare and that of their families, [8] thus they always have the need to visit the hospital. Also, the fact
that women when pregnant had to go to the hospital for antenatal visits, in so doing might find out about
their diabetic health condition and thus commence treatment. The number of antidiabetics drugs per prescription
was 1-5. Other studies previously carried out in hospital settings reported 2-5 antidiabetic drugs
per prescription [9-12]. The average number of antidiabetics per prescription in this study is 1.6 which is like
1.4 reported by another study [13]. Though it is lower than 3.3 reported by Adibe [14] thus prescription of
antidiabetics in ESUT-TH is preceding away from polypharmacy.
Biguanides (385 of 1017 prescriptions or 37.9%) was the most prescribed class of antidiabetics, which was not in tandem with other studies that had been previously carried out which suggested that sulfonylurea is the most prescribed class of antidiabetics [15-18]. The reason for my result could be because biguanide was used mostly in monotherapy which was like several other studied [14,19]. Biguanide was followed by sulphonylureas (325 of 1017 prescriptions or 32.0%), showing that biguanides and sulphonylureas were the drugs of choice for the physicians at ESUT-TH and it was also in alignment with every other study carried out on the prescription pattern of antidiabetics. This study shows that there was low frequency for the prescription of newer antidiabetic drug classes which was similar to the study by Ameya et al. [16]. The least prescribed class from the study was meglitinide followed by alpha glycosidase inhibitor and then dipeptidyl peptidase inhibitor.
Insulin accounted for 10.5% (107 of 1017 prescriptions) of the total antidiabetics prescribed, thus from the study it was the fourth most prescribed class of antidiabetics. This percentage is not in tandem with previous studies which suggested higher percentage of insulin prescription [18,20]. This shows that prescribing was pulling away from insulin preparation in ESUT-TH and this could be because the physicians were avoiding the incidence of hypoglycemia which was the frequent adverse effect of insulin administration. Thus, this study strongly suggests that oral hypoglycemic agents are preferred over parenteral, insulin, and was in tandem with the work by Ashkay [15]. However, there was need for constant monitoring of the blood glucose level so that the therapy could be intensified by the addition of other antidiabetics or increment in the dose in order to obtain optimal glycemic control.
In this study, almost all the drugs were prescribed by brand name suggesting the popularity of brands amongst the physicians and the influence of pharmaceutical companies on the physicians’ decision or perhaps the physicians were looking out for economic outcome. The therapies differed in the order of diatherapy > tritherapy > quadripletherapy > monotherapy> quintetherapy. Monotherapy was the second to least used combination, this could be because the physicians were not willing to take chances with their patients thus preferred the use of combination therapy unlike the study carried out by Willey et al (2022) who documented a good glycemic control on monotherapy.
Majority of the patients on the antidiabetics had controlled glycemic levels, which fell within the range of various other studies which had documented 50%-86% glycemic control. These variations in glycemic control in the different studies could be due to differences in race, differences in the study population, method for the measurement of blood glucose levels, methods of data collection and the cut-off point for adequate glycemic control. The presence of certain drugs in the therapies yielded statistically significant result (P < 0.05) such as biguanide in tritherapy gave an association of glycemic control, <0.001, also the presence of sulphonylureas and meglitinides in quadruple therapy both gave the same association of glycemic control, 0.001. [20-22]. Thus, glycemic level was adequately controlled in the presence of biguanide in a tritherapy and either sulphonyl urea or meglitinide in quadruple therapy. The research did not consider the role of exercise and dietary measures. This could be due to poor documentation of the patients’ case note or probably because the patients did not visit the dietician as they ought to have done.
Limitation of the Study
The blood glucose level was measured using the fasting blood glucose instead of using the HbA1c measurement
which was considered the gold standard and gave better judgement of 3 months glycemic control. The
Accu-Chek Active glucometer was used for this purpose, obviously due to its ease of use. The information
used for this study was obtained from the patients folders, thus the privilege of interacting with the patients
was ruled out. Due to the economic condition in Nigeria, most patients did not show up for their checkup,
and often showed up only when their condition may have worsened, thus the fluctuations and unexpected
results in most of the final glucose readings. The study did not take into account adequate separation of the
different types of diabetes mellitus. The research also had uncontrolled confounding variables such as exercise
and dietary measures (lifestyle modifications).
Conclusion
Oral hypoglycemic agents were the dominants in the prescribing pattern of antidiabetics. Biguanides were
the most frequently prescribed while meglitinides were the least prescribed class of antidiabetics. The age
bracket of 60-69 has the highest occurrence of type 2 diabetes mellitus. Ditherapy was the most used combination
while quintetherapy was used the least. The use of biguanide in tritherapy, meglitinide and sulphonyl
urea in quadruple proved effective in reduction of blood glucose level.
Conflict of Interest: The authors have no conflict of interest to declare
Funding: No fund or grant was received for this study
Bibliography
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