Background: Globally, one of the most common causes of irrational use of medicines is brand-name prescribing. The consequence of prescribing medicines using brand names is an economic burden on patients and society. Thus, this study aimed to investigate the magnitude of prescribing medicines by brand names in a tertiary hospital in Mwanza, Tanzania. Methods: A retrospective cross-sectional study was conducted between April 2020 and March 2021 at the Bugando Medical Centre. Data were collected from electronic prescriptions (outpatients) and medical files (inpatients). The data were analyzed using STATA version 14. A Chi-square test was conducted to examine the relationship between different categorical variables. p-Values of less than 0.05 were considered statistically significant. Results: Of 851 prescriptions analyzed, 416 (48.9%) contained medicines prescribed using brand names. Compared to outpatient units, the proportion of prescriptions with medicines prescribed by brand names in inpatient units was significantly higher (58.5% vs 39.1%), p < 0.001. The most frequently prescribed medicines by brand names were Ampiclox (ampicillin + cloxacillin), 35.2%, Buscopan (hyoscine butylbromide), 8.7%, and Amoxyclav (amoxicillin + clavulanic acid), 7.7%. Conclusion: Prescriptions written with brand names were found to be common, especially among fixed-dose combinations (FDCs), according to the current study. Governments, institutions, and other stakeholders should support and encourage the use of generic names in prescription writing because it saves money for patients and health care systems. This calls for Tanzania's government to prioritize the development and implementation of generic prescribing policies.
Background: Globally, one of the most common causes of irrational use of medicines is brand-name prescribing. The consequence of prescribing medicines using brand names is an economic burden on patients and society. Thus, this study aimed to investigate the magnitude of prescribing medicines by brand names in a tertiary hospital in Mwanza, Tanzania. Methods: A retrospective cross-sectional study was conducted between April 2020 and March 2021 at the Bugando Medical Centre. Data were collected from electronic prescriptions (outpatients) and medical files (inpatients). The data were analyzed using STATA version 14. A Chi-square test was conducted to examine the relationship between different categorical variables. p-Values of less than 0.05 were considered statistically significant. Results: Of 851 prescriptions analyzed, 416 (48.9%) contained medicines prescribed using brand names. Compared to outpatient units, the proportion of prescriptions with medicines prescribed by brand names in inpatient units was significantly higher (58.5% vs 39.1%), p < 0.001. The most frequently prescribed medicines by brand names were Ampiclox (ampicillin + cloxacillin), 35.2%, Buscopan (hyoscine butylbromide), 8.7%, and Amoxyclav (amoxicillin + clavulanic acid), 7.7%. Conclusion: Prescriptions written with brand names were found to be common, especially among fixed-dose combinations (FDCs), according to the current study. Governments, institutions, and other stakeholders should support and encourage the use of generic names in prescription writing because it saves money for patients and health care systems. This calls for Tanzania's government to prioritize the development and implementation of generic prescribing policies.
The brand name of a medication is the name given by the manufacturer, while the
generic name is the name of the active ingredient in the medicine that is decided by
an expert committee and is understood internationally.
Generic medicines are copies of branded medicines that have precisely the
same dosage, intended use, effects, side effects, route of administration, risks,
safety, and strength as the original drug.
Since generic medicines are produced by multiple manufacturers after the
patent of the branded medicines expires, most of them are less expensive,
whereby the cost incurred by patients is estimated to be 2.6–10 times more
for originator brands than for their generic equivalent.The World Health Organization (WHO) has designed standardized prescribing indicators
to evaluate the trends in prescribing in health facilities.
One of the indicators is the percentage of medicines prescribed by brand name.
The standard accepted value for prescribing by generic name is 100%.
Globally, one of the most common causes of irrational use of medicines is
brand-name prescribing. The consequence of prescribing medicines using brand names
is an economic burden on patients and society.The use of generic medicines improves consumer access to drugs and provides
significant savings in health care costs without affecting the quality or
therapeutic outcome of the prescribed medicine.
However, there is concern among patients and prescribers that branded
medicines may be clinically superior to generic ones.
Another factor that influences the decisions of prescribers in prescribing
generic medicines is the pressure from representatives of pharmaceutical companies.Brand-name prescribing has become a common practice in Tanzania.
This trend, however, has not been thoroughly examined. Thus, the aim of this
study was to investigate the magnitude of prescribing drugs by brand names in a
tertiary hospital in Mwanza, Tanzania.
Methods
Study design and area
We retrospectively reviewed the prescriptions of patients who attended Bugando
Medical Centre (BMC) between April 2020 and March 2021. BMC is a tertiary,
teaching, consultancy, and zonal referral hospital with an estimated 1000-bed
capacity, serving Lake Zone eight regions (Mwanza, Simiyu, Kagera, Shinyanga,
Musoma, Tabora, Geita, and Kigoma) and a catchment population of 13 million
people. This study included prescriptions from BMC inpatients in internal
medicine units and outpatient pharmacy departments. We excluded prescriptions
from health insurance fund clients. The sample size was estimated by using the
Kish Leslie (1965) formula;
n = Z2P
(100P)/e2. We used a standard
normal deviation (Z = 1.96), margin of error
(e = 3.1%), and prevalence (p = 71.6%).
The minimum sample size calculated was 813 prescriptions. A systematic
sampling technique was employed. By dividing 8130 prescriptions written within
12 months of the study period by 813, a sampling interval of 10th was
calculated.
Data collection
Data were collected from outpatient electronic prescriptions and inpatient
medical files. Information about prescriptions written by brand and generic
names was recorded using a structured checklist. The checklist included
information to assess the number of generic name(s) per prescription, the number
of brand name(s) per prescription, the brand name for medicine prescribed in
brand name(s), the generic name(s) for generic medicines prescribed, and the
pharmacological classification of medicines prescribed.
Data analysis
Data for descriptive statistics were entered and cleaned in Microsoft Excel
before being exported to STATA version 14 (Stata Corp, College Station, TX) for
further analysis. In the statistical analysis, frequencies and percentages were
calculated. The results are presented in frequency distribution tables and
figures. A Chi-square test was conducted to examine the relationship between
different categorical variables. p-Values of less than 0.05
were considered statistically significant.
Ethical consideration
This study was approved by the Catholic University of Health and Allied Sciences
(CUHAS) and BMC’s Joint Ethics and Research Review Committee (UECC No.
1822/2021). Permission for data collection was granted by the BMC
Director-General. There was no contact with the patients; only prescriptions
were involved during data collection. Hence, the ethics committee waived the
need for participant informed consent.
Results
A total of 851 prescriptions (3299 medicines) were reviewed and analyzed in this
study. The mean (standard deviation (SD)) number of medicines per prescription was
3.88 (2.39). Four hundred and sixteen prescriptions (48.9%) contained medicines
prescribed by brand names.The proportion of prescriptions containing medicines prescribed by brand names was
significantly higher in inpatient units than in outpatient units (58.5% vs 39.1%),
p < 0.001 (Table 1).
Table 1.
Distribution of prescriptions with brand names based on inpatient and
outpatient categories.
Variable
Brand-name status, N
(%)
p value
Prescription category
Yes
No
Outpatient
166 (39.1)
258 (60.9)
<0.001
Inpatient
250 (58.5)
177 (41.5)
Distribution of prescriptions with brand names based on inpatient and
outpatient categories.
The proportion of medicines prescribed using brand name
The most frequently prescribed medicines by brand names were Ampiclox
(ampicillin + cloxacillin), 35.2%, Buscopan (hyoscine butylbromide), 8.7%, and
Amoxyclav (amoxicillin + clavulanic acid), 7.7% (Table 2).
Table 2.
Medicines prescribed using brand names.
Variable
N (%)
Ampiclox
299 (35.1)
Buscopan*
74 (8.7)
Amoxyclav
66 (7.7)
Brustan
54 (6.3)
Fefo
49 (5.7)
Nat B
45 (5.3)
Lasix*
38 (4.5)
Diclopar
37 (4.3)
Others
Each < 2.0%
Medicines that are not in a fixed-dose combination.
Medicines prescribed using brand names.Medicines that are not in a fixed-dose combination.
Pharmacological groups for medicines prescribed by brand names
Antibiotics (45.2%) and supplements (21.4%) were the most common pharmacological
groups of medicines prescribed by brand names (Table 3).
Table 3.
Pharmacological groups for medicines prescribed by brand names.
Variable
N (%)
Antibiotics
385 (45.2)
Supplements
182 (21.4)
Analgesics
111 (13.0)
Antispasmodic
73 (8.6)
Diuretics
47 (5.5)
Anti-acids
26 (3.1)
Others
Each <2.0%
Pharmacological groups for medicines prescribed by brand names.
Discussion
Prescribing using generic names is recommended worldwide. In the current study, the
use of generic names in prescribing was much lower than the WHO standard of 100%. It
was observed that almost half (48.9%) of prescriptions contained brand names of
various medicines. Higher proportions of brand-name prescribing have been reported
in the previous studies conducted in Kenya (54.5%),
Muhimbili National Hospital-Tanzania (71.6%),
Nepal (83.1%),
and India (93.6%).
The relatively lower brand-name prescribing found in this study could be
described by a relatively better level of compliance by prescribers in using the BMC
hospital formulary, which recommends the use of full generic names of drugs.
In this study, the proportion of prescriptions containing medicines
prescribed by brand names was significantly higher in inpatient units than in
outpatient units. This might have been attributed to the fact that outpatient
prescriptions were electronic prescriptions. Thus, prescribers do not need a lot of
time and energy to write the full generic name of a medicine.It has been reported that strategies to monitor and ensure drug prescribing from the
standard treatment guidelines, essential medicine lists, and hospital formulary,
which mostly involve generics, might mitigate trends in brand prescriptions.
Higher proportions of brand-name prescribing reported in previous studies may
be linked to the incentives and promotions from pharmaceutical industries and
suppliers, weak regulatory systems and inadequate regulation enforcement, undue
influence of mentors’ prescribing habits, respective inventory and dispensing
computerized systems, availability of certain brands in the market and the price
difference between various brands.[12,18,19]In the current study, the majority of medicines prescribed by brand names were in the
form of fixed-dose combinations (FDCs). This is a combination of two or more active
ingredients in a fixed ratio of doses, so prescribers feel it is laborious and
unnecessary to write more than one active ingredient of medicine in the
prescription. The trend of prescribing FDCs is increasing in clinical practice. A
previous study
of 620 prescriptions showed that 81.1% of the prescriptions contained at
least one FDC and the majority were for vitamins and mineral supplements. Most of
the FDCs (82.78%) in that study were prescribed by brand names. Another study
conducted in a tertiary care hospital in India reported that almost 95% of all FDCs
were prescribed by brand names and about 21% of the physicians were unaware of the
active pharmacological ingredients available in these products.Generic prescriptions play a vital role in the determination of the rational use of
antibiotics. Our finding that antibiotics, ampiclox in particular, were prescribed
mostly by brand names is consistent with previous studies.[22,23] Ampiclox was a highly
prescribed brand name. This may be due to the fact that the majority of physicians
perceive it as an abbreviation of ampicillin + cloxacillin. However, the use of the
abbreviation was restricted by the BMC hospital formulary.
Nevertheless, in previous studies, Amoxyclav was the most common antibiotic
prescribed by brand name.[12,24] WHO recommends prescribing drugs by their generic names since
it has been shown to be cost-effective and provides flexibility in the purchase of
medicines from medicine dispensing outlets. One of the factors that contribute to
the low proportion of generic prescriptions is the poor promotion of the use of
generic medicines.
Generic prescriptions must be promoted because they have been proven to be a
cost-effective approach in low- and middle-income nations like Tanzania.
Future research should look at the factors that influence brand-name
prescribing.
Limitations
The data were collected at a tertiary hospital with medical specialists and an
up-to-date hospital formulary, so their applicability to other hospitals in
low-resource settings may be limited. This is a single-center study; therefore,
it cannot be generalized to other health care settings across the country.
Conclusion
Prescriptions written with brand names were found to be common, especially among
FDCs, according to the current study. Governments, institutions, and other
stakeholders should support and encourage the use of generic names in prescription
writing because it saves money for patients and health care systems. This calls for
Tanzania’s government to prioritize the development and implementation of generic
prescribing policies.Click here for additional data file.Supplemental material, sj-docx-1-map-10.1177_27550834221098597 for The magnitude
of prescribing medicines by brand names in a tertiary hospital, Mwanza, Tanzania
by Stanley Mwita, Brigitte Mchau, Winfrida Minja, Deogratias Katabalo, Kayo
Hamasaki and Karol Marwa in Medicine Access @ Point of Care
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