Figures
Abstract
Diabetes Mellitus is a significant global public health burden. Although medication adherence is an inevitable consideration in managing and curing the disease, medication price is the major barrier to patients in Nepal, like any other low- and middle-income countries. Prescribing in brand-name inhibits the possibility of accessing cost-effective generic alternatives in Nepal. This study aimed to explore and examine price variations among the oral hypoglycaemic medicines (OHMs) available in the country and their distribution in various medicine-related characteristics. A cross-sectional study was conducted using a convenient sample of five tertiary care hospital pharmacies in Kathmandu, publicly accessible online pharmacy websites, and a government database to list the OHMs available in Nepal. The study determined price variations and statistically tested the association between these variations and the characteristics of the medicines. Fourteen OHMs were available as 57 generic medicine items with different formulations in Nepal. The maximum of 484.82% of price variation was found. Fourteen, fifteen and eighteen OHMs have variations of over 100%, more than 10 rupees and no price change, respectively. Except for Dipeptidyl Peptidase-IV (DPP-4) Inhibitors and Thiazolidinediones (TZDs), all other categories of OHMs have >100% of price variation in medicine items. Although Nepal itself produces most of the available OHMs, the available OHMs have price variations. Most fixed dose combinations showed no reduction in cost compared to their component medicine’s mean price. This study presented and discussed the price variation scenario of OHMs with their medicine-related characteristics to develop and implement effective drug policies and programs that can address medication price-related issues to ensure access to OHMs without placing an economic burden on patients.
Citation: Shrestha R, Aryal A, Khatiwada AP, Dhungana S, Shrestha S (2024) Exploring the medicine cost of managing Diabetes Mellitus in Nepal: A cross-sectional analysis of oral hypoglycaemic medications. PLoS ONE 19(12): e0310706. https://doi.org/10.1371/journal.pone.0310706
Editor: Asif Jan, District Head Quarter (DHQ) Hospital Charsadda / University of Peshawar, PAKISTAN
Received: December 4, 2023; Accepted: August 27, 2024; Published: December 5, 2024
Copyright: © 2024 Shrestha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Diabetes Mellitus (DM) is a significant global public health burden, reported to have caused 1.5 million global deaths in 2019 [1]. The global prevalence of DM was estimated at 9.5% in 2019 and is expected to rise up to 10.2% in 2030 and 10.9% in 2045 [2]. Subsequently, the prevalence of diabetes and pre-diabetes was reported as8.5% and 9.2% in 2020 in Nepal, respectively [3, 4]. Notably, DM incidence is rising quickly in low-and middle-income countries (LMICs), including Nepal [1, 5–7]. This has significantly affected the clinical outcomes and economic conditions of patients and the nation [8]. Yang et al. (2019) reported that individuals with diabetes have a 1.89-fold greater risk of death than non-diabetes in Asia [9]. Similarly, hypertension, a prevalent issue in Nepal, has double the risk of developing diabetes in Nepal [4, 10]. As per Shrestha et al. (2013), patients with DM for 16 to 20 years have 161% higher direct health expenses compared to those with DM for 1 to 5 years [11]. Overall, type 2 DM (T2DM) complications cost up to nine times higher than non-T2DM patients [12].
Therefore, good adherence to medication can prevent further complications, mortality and associated economic burden which might occur in time to come [13–15]. A study found DM patients spend up to 80% of their total expenses on medications during out-patient clinic visits in Nepal, primarily through out-of-pocket (OOP) payments [11]. In Nepal, a substantial portion of health expenditure is dedicated to medicine and medicinal products, accounting for 63.4% of out-of-pocket (OOP) expenses. Non-communicable diseases (NCDs) make up two-thirds of these total OOP expenses on diseases [16]. Similarly, past studies have reported finances (participants’ income and medicine costs) as a significant challenge to medication adherence for DM patients in Nepal [17, 18]. Furthermore, the high price variation of NCD medications, including oral hypoglycaemic medicines (OHMs), reported earlier, has further added barriers to medication adherence in DM patients in Nepal [19–21].
Most medicines available in Nepal are brand-named generics, meaning they have the same active ingredient but different trade names. According to the Department of Drug Administration (DDA), there are 128 pharmaceutical manufacturers in Nepal as of 29th September 2022, with118 producing allopathic medicines, and 123 registered importers according to online data as of 19th October 2023 [22, 23]. However, Nepal lacks specific regulations in medicine pricing and controlling price variation between brand-named medicines of the same generic medicine items [24, 25]. Despite this, the government attempted to ensure access by fixing the price of some essential medicines, providing some essential medicines for free in limited centres, and including a broader range of medicines (not all OHMs) in the national health insurance scheme [26–28]. However, these freely available medicines, including OHMs, are inadequate and are reported to be of substandard quality [29, 30]. Moreover, health insurance services are also available in limited facilities, and patients have been reported to withdraw from this scheme due to inadequate medicine availability [31, 32]. These factors force patients to depend on OOP expenditure and private pharmacy outlets, facing high and inconsistent medicine costs.
All the above-mentioned medicine-related characteristics, including formulation, composition, manufacturer competition, dosage form types, and coverage in the national medicine program list, can influence price of the medicine and its price variation among different manufacturers [33–36]. However, none of the previously published studies have examined the detailed analysis of the availability and variation in the prices of available OHMs in the country [20, 21, 37–39]. Thus, this study aimed to investigate the price variation of OHMs based on different medicine-related characteristics to provide a comprehensive overview and suggest better ways to manage medicine costs in the future.
Materials and methods
Study design
A cross-sectional study was designed to examine the price variation of OHMs available in Nepal and was conducted from April 2023 to September 2023.
Ethical approval
Ethical approval for this study was obtained from the Ethical Review Board of Nepal Health Research Council (NHRC) in Kathmandu, Nepal (Reference Number: 51). Pharmacy representatives were informed about the study in detail and data were collected after receiving their written and verbal consent.
Sampling and data collection
Initially, ten pharmacies from five tertiary care hospitals in Kathmandu, the capital city of Nepal (two pharmacies from each hospital), were conveniently selected for the market survey to ensure overall coverage of oral hypoglycaemic medicines available in Nepal. The survey collected information such as brand name, generic name, strength, dosage form, maximum retail price, manufacturer name, and country. Two pharmacists with previous work experience in a hospital pharmacy setting conducted the market survey. They prepared the final list of OHMs and cross-checked the publicly available online pharmacy shops and the Department of Drug Administration (DDA) database to avoid the possibility of missing any OHMs available in the Nepalese market [40–42]. If any medicine information was missed, we contacted the pharmacy representatives and utilized their network to obtain the missing information. This process of double-checking further ensured the genuineness of the medicine details obtained from the selected hospital pharmacies.
The study concentrated on five tertiary care hospitals in Kathmandu, a capital city of Nepal These hospitals were chosen for their higher level of care and their role as referral centres for diabetic patients. Hospitals in Kathmandu were chosen as they offer the highest possible level of care in Nepal, thus expected to have access to all OHMs available in Nepal. The researchers chose online pharmacy shops and the DDA online database to verify medicine availability due to its convenience, time-saving nature, and widespread use in urban areas of Nepal. In addition, to remove the possibility of doubt about variations in medicine prices at virtual and physical pharmacies, we cross-checked the medicine maximum retail price (MRP) from retail pharmacies before making a final data analysis. The rate was collected at the same place and at a specified time (1st to 7th August 2023), preventing the possibility of rate differences due to different batches of the same brand-named medicines with different rates at various sites and times of data collection. All the MRPs are presented in the Nepalese Rupee (NPR).
Study variables
The dependent variable of this study was price variation. The independent variables were medicine-related characteristics. They are the number of active ingredients in each generic medicine item, the number of brand-named medicines in each generic medicine item, number of generic medicine items from government’s fixed rate medicine list, number of generic medicine items from WHO Essential Medicine List (EML), number of generic medicine items from Nepal Essential Medicine List (EML), number of generic medicine items from the government free medicine list of Nepal, number of generic medicine items from Health Insurance Medicine list of Nepal, number of types of dosage forms of OHMs, and number of manufacturing countries for each generic medicine item.
Data analysis
The price presented in the result section refers to the MRP of the individual product’s specific strength and dosage form. The study calculated the mean, median, interquartile range, minimum, maximum, and percentage price variation for each product to visualise the price variation of different brand-name medicines of the same generic medicine item with similar strength and dosage form. The formula used for calculating price variation in percentage was: price variation in percentage = [(Price of brand-named medicines having highest MRP–Price of brand-named medicines having lowest MRP)/ price of brand-named medicines having lowest MRP]*100. Furthermore, OHMs were categorized based on their pharmacological effect, and their price distribution was analysed [43]. A comparison of the price of fixed-dose combination (FDC) and individual drug dosage was also reviewed and studied wherever possible. The study evaluated the price variation between FDCs and the individual prices of combined medicines. The formula used was Percentage price variation = [(mean price of FDCs—mean price of individual combined medicines) / mean price of individual combined medicines] x 100. The researchers also compared the available OHMs with the Nepalese Essential Medicine List (2021), the WHO Essential Medicine List (2021), and the Nepalese Government Free, Price Fixed and Health Insurance Medicine List [26, 44–47].
Before applying the statistical test, the normal distribution of the outcome variable was checked using Kolmogorov-Smirnov and Shapiro-Wilk tests. The test showed non-linearity of price variation variables (P<0.05). Therefore, the Mann-Whitney U-test was used for the variables having two groups, and the Kruskal-Wallis test was applied for the variable having more than two groups while testing the significant distribution of price variation in medicine characteristics.
Data management and analysis were conducted using Microsoft Excel 2010 and IBM Statistical Package for Social Science (SPSS) version 25.0.
Operational definitions
Types of medicines.
This refers to specific oral hypoglycaemic medicines having same active pharmaceutical ingredient (API) irrespective of dose and dosage form (e.g., both metformin 500 mg “Immediate Release (IR)” and metformin 1 gm “Modified Release (MR)” were considered one type of medicine).
Results
Characteristics of oral hypoglycaemic medicines available in Nepal
Fourteen oral hypoglycaemic medicines and 57 generic medicines with different doses and dosage formulations are available in Nepal. Among 57 generic medicine items, 17 medicines are available in fixed-dose combinations under two types in terms of pharmacological categories (second generation sulfonylureas + biguanides and dipeptidyl peptidase-IV (DPP-4) inhibitors + biguanides) and 40 medicines are available as single molecules in their respective dosage forms. Among 57 generic medicine items, 48 medicines were “Immediate Release (IR)”, and 9 were “Modified Release (MR)” dosage formulations.
Similarly, those 57 different OHMs were available in 348 trade/brand names in Nepal. There was a maximum of 29 brand-named medicines and a minimum of one brand-named medicine available for each generic hypoglycaemic medicine item in Nepal. A maximum of up to four countries were found to be involved in manufacturing one generic medicine item. Around 90% of medicines available in the Nepalese market were not on the WHO and Nepal’s essential medicines lists. Similarly, among 57 generic medicines items, the government has fixed the rate for only seven items and provided only one medicine free of cost to designated government healthcare institutions (Table 1). All the details of medicines are given in the S1 File.
Relationship between price variation of each generic medicine item and its characteristics
Table 1 presents the assessment of the statistical relationship of price variation with different characteristics of medicines. The test showed a significant association of price variation of each generic medicine item with the number of types of dosage forms, number of brands available under each generic medicine item, number of manufacturing countries, and number of medicines listed in government social security health insurance service. On the other hand, the medicines listed in EML of Nepal, the medicines listed in EML of WHO, the government-free medicine list, and the number of APIs have not shown a significant relationship with the price variation of each generic medicine item.
Manufacturer details of OHMs available in Nepal
Nepal is the prominent manufacturer (64.7%) of OHMs in the Nepalese market, followed by its neighbouring country, India (31.9%). Bangladesh occupied 1.4% of OHMs available in the Nepalese market, while Denmark, Germany and Italy occupied less than 1% of OHMs in the Nepalese market (Fig 1).
Price variation of oral hypoglycaemic medicines
An average of 62.28% price variation was determined among all OHMs in Nepal. There were three medicines with price variations >200% and eleven with price variations between 100 to 200%. Altogether, fifteen medicines have price differences above 10 NPR with a maximum of 50 NPR. Gliclazide 60 mg MR had the lowest price difference (0.03), while empagliflozin 10 mg IR and 25 mg IR had the highest price difference (50 and 39.52, respectively) (Table 2). However, 18 generic medicine items showed no price variation. None of the government-fixed rate medicines were priced higher than their set rates. Detailed information on the price variations of all the over-the-counter medicines (OHMs) can be found in S1 File.
Pharmacological category-wise presentation of price variation and medicine summary
Altogether, a total of 7 pharmacological categories of oral hypoglycaemic medicines are found in a total of 14 types of medicines in Nepal. The most common pharmacological class of OHMs was second-generation sulfonylureas (4, 28.57%), followed by DPP-4 inhibitors (3, 21.43%) based on the types of medicines. However, based on the number of brand medicines in the market, biguanides (86, 24.71%) and second-generation sulfonylureas (78, 22.41%) were the most common medicines used in the Nepalese market. Except for dipeptidyl peptidase-IV (DPP-4) inhibitors and thiazolidinediones (TZDs), all other pharmacological categories have more than 100% price variation medicines. Biguanides, 2nd generation sulfonylureas, and meglitinides categories of medicines have an item with more than 200% of price variation. Except for alpha-glucosidase inhibitors and meglitinide categories of medicines, all other categories have medicines with a minimum of zero price variation (Table 3).
Comparison of price between fixed-dose combination and their sum of medicines
Out of seventeen FDCs, nine FDCs have a comparatively higher mean price than the sum of their individual item’s mean price, while only 4 FDCs have a lower mean price than the sum of their individual item’s mean prices. Second-generation sulfonylureas + biguanides (glimepiride 1 mg + metformin 500 mg IR and glimepiride 2 mg + metformin 500 mg IR) were found to have high price differences (45.8% and 37.1%, respectively). All other FDCs have less than 25% price variation with their sum of medicines (see S2 File).
Discussion
The study found seven pharmacological categories of oral hypoglycaemic medicines available in Nepal. The most commonly available categories of medicines in the market were second-generation sulfonylureas (4, 28.57%), followed by dipeptidyl peptidase-IV (DPP-4) inhibitors (3, 21.43%). Based on the number of available brand-named medicines, the most frequently used medicines in the market were biguanides (86, 24.71%) and second-generation sulfonylureas (78, 22.41%). These categories of medicines, particularly glimepiride and metformin, are recommended in diabetes management guidelines and are commonly used in Nepal and its neighbouring countries such as India [48–54]. Therefore, the quality and cost of these OHMs must be monitored stringently with priority. The government of Nepal has fixed the price of metformin 500 mg IR and 1000 mg IR, glimepiride 1 mg IR, 2 mg IR, and 3 mg IR and pioglitazone 15 mg IR and 30 mg IR so far [26]. Metformin 500 mg IR is made freely accessible in designated government healthcare centres [47]. Previously, limited studies reported higher price variation on one of the fixed-rate medicines (metformin 500 mg IR, 330.769% in 2015 and 254.6% in 2017) [21, 39]. However, the current study showed lower price variation of government fixed-rate medicines (glimepiride 1 mg IR, 6%, glimepiride 2 mg IR, 7.5%, glimepiride 3, 0%, and metformin 500 mg IR, 92.31%) without crossing the government ceiling price. The possible cause of less price differences despite having fixed retail prices could be the higher market competition (metformin 500 mg IR, 29 brands; glimepiride 1 mg IR, 17 brands, 2 mg IR, 16 brands, and 3mg IR, 11 brands), frequent prescription of metformin and glimepiride in Nepal and involvement of foreign manufacturer [48–50].
Except for dipeptidyl peptidase-IV (DPP-4) inhibitors and Thiazolidinediones (TZDs), all other pharmacological categories of medicines have more than 100% price variation. Biguanides, second-generation sulfonylureas, and meglitinide are medicines with more than 200% price variation. Fourteen generic-medicine items have a price variation greater than 100%, fifteen have a price variation of more than 10 rupees, and eighteen medicines don’t have any price variation. Specifically, repaglinide 2mg IR (484.82%, 7 brands), glipizide 5mg IR (273.13%, 3 brands), and metformin 850mg IR (222.22%, 22 brands) were the highest price variation items found in our study. However, a recent study in India showed glimepiride 1 mg (3503.22%, 108 brands), and metformin 500 mg SR (3668.51%, 73 brands) were the medicines with the highest price variation, which are the most commonly used medicines in Nepal [55]. The price variation of these items in Nepal was much lower compared to India.
Moreover, FDCs are commonly used in the Nepalese pharmaceutical market to reduce drug non-adherence and overall cost reduction [56]. However, the cost comparison showed no reduction in cost by most FDCs; instead, the cost of FDCs was higher compared to the cost of its component medicines. Nine FDCs were found to have higher mean cost than the sum of their components’ mean price, where glimepiride 1 mg + metformin 500 mg IR (45.8%) and glimepiride 2 mg + metformin 500 mg IR (37.1%) were found to have the highest price difference. In our context, the higher prices of FDCs could have occurred using the mean price of all available brand-named medicines. Nevertheless, it is determined that most FDCs’ component generic medicine items can be found at lower prices in the Nepalese market if the patient wants to buy them separately. Still, a question arises among consumers about the higher price of FDCs compared to the sum of their individual components even though the cost of labour, packaging, transportation, and other items born by the manufacturer has already been reduced by almost half.
The study revealed a significant difference in price variation among different number of brand-named medicines available for each generic medicine item. However, the p-value did not provide a conclusive remark adequately due to the limited data (less than 5 brand-named medicines in some generic medicine items). Alternatively, more brand-named medication options for generic medicine items were found to increase. A 2017 Nepalese study reported 1 and 18 brand-named medicines for glibenclamide 5mg and metformin 500 mg [21], which was found to increase in our study, 2 and 29, respectively. This possibly reflects the growth in the availability of the brand alternatives. However, the price differences among the brand-named medicines may direct patients into buying expensive items despite providing the opportunity to choose cost-effective ones. This can be suspected due to the prevalent practice of prescribing in brand names, brand promotion, and patients’ deficient medicinal knowledge and practice of choosing prescriber-prescribed brand-named medicines in Nepal [57–59]. Therefore, the generic prescribing practice should be encouraged, which allows and eases patients to choose the available cost-effective brand-named medicine; however, the quality of medicines needs to be ensured by concerned regulatory authorities [57].
Interestingly, the average price variation was observed more among the generic medicine items listed in the national and WHO EML and the government-free medicine list. However, none of these characteristics were significantly associated with price variation. This could possibly be due to the small sample size in our study. Also, these categories typically consist of a minimal number of medicines. Generally, the medicines listed in national and WHO EML are mostly old molecules with low or affordable market prices [60]. Government-funded medication programs should incorporate anti-diabetic drugs that are widely used, evidence-based, and recommended by guidelines as safe and effective to ensure access to quality medicines. This measure can help mitigate the potential economic burden that diabetic patients may face in the country. For instance, glimepiride medicine which was recently incorporated into the government’s free medicine list [47, 61]. This is most preferred, practiced, and recommended in relevant guidelines and lists for diabetes treatment in LMICs, including Nepal [50, 54].
Most of the OHMs in the Nepalese market were manufactured within the country (64.7%), which is a good indicator of making the country self-reliant in producing required OHMs. The remaining OHMs were imported from five foreign countries, most from India (31.9%). While the availability of multiple manufacturers’ products provides patients with a wide range of options to make choices, it may also increase medication costs due to increased transportation and marketing costs. This may ultimately cause patients to buy expensive medications as the patients rely solely on doctors’’ suggestions and only take the prescribed brand-named medicines [57, 58]. Therefore, fixing the maximum price in collaboration with the expertise of the pharmaceutical market, prioritising quality over price, could be the appropriate way for patients to reduce the negative impact of price variation. Also, mandating the service of drug and therapeutic committees in hospitals and healthcare facilities may help to manage patients’ medicine access issues with medicine cost, if encountered.
Overall, the wide variation in the price of OHMs observed in the study highlights the possibility of unfair financial burden to diabetic patients who need to take the medications regularly, usually for a lifetime. There may be many contributing factors for such variations, including market influence and infiltration by the pharmaceutical companies, and lack of stringent policies and guidelines from the authorities focusing on the regulations of the market price of medications [24, 57, 62]. Nepal has no clear and transparent medicine pricing policy; even where policies exists, they are not implemented strictly [24, 63]. Shrestha et al. have also revealed that the formulated policies are not effective enough to control the price variation of anticancer medicines in Nepal [63]. The current study presented a picture of the price scenario of OHMs to develop effective drug policies for implementation.
Strengths and limitations
The strength of this study is that it incorporated almost every OHMs available in Nepal by investigating the pharmacies of tertiary care hospitals of Kathmandu, the online pharmacy platforms and the government medicine database. However, those medicine items that were unavailable and unknown to pharmacy representatives of selected pharmacies, not included in the online pharmacy portal and not updated in the DDA databases were missed to be included. Further, the study did not evaluate the quality aspect of medicine while analysing and discussing the price of medicine. There was a lack of proper system and information to categorize the quality aspect of medicine and, consequently, incorporate that information while analysing the study’s outcome. Additionally, the significance value obtained for the “number of brand-named medicines” and “number of manufacturing countries” variables need to be interpreted cautiously; thus, it is inconclusive due to the limited data for certain categories of these variable.
Conclusion
Most of the OHMs available in the Nepalese market are self-manufactured. However, the available OHMs, single and fixed-dose combinations, significantly vary in price in Nepal. At the same time, several brand-name medicines and manufacturers provide a possible linkage with price variation but not a definitive relationship. This study presented and discussed the price variation scenario of OHMs in various medicine-related characteristics to develop and implement effective drug policies and programs that can address medication price-related issues to ensure access to OHMs without placing an economic burden on patients. Furthermore, the study recommended exploring the potential impact of price variation on patients’ capacity to afford and adhere to diabetic medicines in the future.
Supporting information
S2 File. Fixed dose combination price variation table.
https://doi.org/10.1371/journal.pone.0310706.s002
(XLSX)
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