Globally, non-communicable diseases (NCD) account for 71% of all deaths (i.e. estimated 41 of 57 million deaths in 2016) . Cardiovascular diseases (CVDs) alone contribute to estimated 17.9 million deaths, accounting for 44% of NCD deaths and 31% of all-cause mortality . Over three-quarters of the CVD deaths occur in low- and middle-income countries (LMICs), disproportionately affecting the poor households [3, 4]. To tackle this burden, the United Nations Member States have pledged to reduce premature NCD deaths by a third by the year 2030 (Sustainable Development Goal; SDG 3.4) . To achieve these goals, various international agencies – including the World Health Organization’s (WHO) 2013–2020 Global Action Plan and the World Heart Federation’s 25 × 25 vision – are calling for ensuring availability of affordable essential medicines and health services in at least 80% of the health facilities in all sectors [6, 7, 8]. Essential medicines are those medicines that meet priority health needs of the majority of the population .
With its increasing NCD burden relative to infectious diseases, Nepal’s healthcare system now faces a dual challenge [10, 11]. Most NCDs (e.g., CVD, diabetes) and their risk factors require lifelong treatment, often with multiple pharmaceutical agents, and this can amount to high cumulative healthcare costs. Nepal imports the majority of such pharmaceutical agents from neighboring India . Moreover, CVDs and diabetes also require periodic use of diagnostic tests to inform treatment and ensure continuum of care . With over a quarter of Nepal’s population living below the poverty line, people with chronic conditions face high risk of impoverishment due to catastrophic health expenditures [10, 14]. Unfortunately, health insurance coverage in Nepal is still at nascent stage, which drives a majority of the patients to resort to out-of-pocket payments (OOP) [15, 16].
It would, therefore, be important to evaluate access to essential medicines and diagnostics for treating CVDs and diabetes in Nepal [16, 17, 18]. The WHO and Health Action International (WHO/HAI) have developed a standardized methodology to measure the availability, prices and affordability of essential medicines [19, 20]. Many WHO/HAI surveys conducted over the past decade have shown a major disparity between high and low income countries with respect to medicines access [21, 22].
There is, nonetheless, no universally accepted definition of ‘access’ to medicines, and various authors have suggested five access dimensions, namely: availability, affordability (both assayed using the WHO/HAI method), accessibility, acceptability (adoption), and medicine quality [16, 23]. In brief, ‘availability’ refers to the link between quantity required and quantity delivered. ‘Affordability’ is the end-user’s ability to pay. ‘Accessibility’ is an index of how easily a person can get the medicine and is a function of distance traveled as well as operational logistics of the medicine dispensary, among other factors. ‘Acceptability/adoption’ is a complex function of the kind of, and manner in which, medicines are prescribed by physicians, dispensed by pharmacists, and actually used by patients (e.g. treatment adherence). ‘Quality’ is based on empirical standards created by the relevant medicines regulatory authority. The literature notes the need for relatively inexpensive and rapid methods to collect such important information repeatedly that allows for the integration of multiple access dimensions including indirect costs as well as indication of the potential impact of survey price on household income [16, 24].
A recent critique of Nepal’s current disease-centred vertical health programs included a plea to ‘… reform and regulate the procurement of medicines, medical equipment, and supplies…’ to set minimum quality criteria and ‘… reduce costs…,’ implicating indirectly the dimensions of availability and affordability . Yet, the few surveys that have actually explored the dimensions of access of essential medicines in Nepal were either not nationally-representative or were not CVD-specific. None of these studies evaluated access to CVD diagnostics, which are essential for tackling the NCD disease burden (Box 1). We therefore investigated various dimensions of access (except medicine quality) to essential CVD and diabetes medicines and diagnostics in a nationally-representative sample in Nepal, and explored barriers that limit access to those basic health services.
Box 1: KEY MESSAGES.
What is already known about this subject?
What does this study add?
What are the implications for clinical practice and health policy?
We employed a mixed-methods approach. We used a modified version of the WHO/HAI methodology, during May–August 2017, to collect availability and price data in public and private healthcare sectors. A typical WHO/HAI survey is limited to a pre-defined list of core global medicines along with medicines selected by the investigator, but we also surveyed access to routinely-used diagnostics.
In addition, we conducted exit interviews with patients at healthcare facilities, using a semi-structured questionnaire, to understand additional access dimensions – for example, an individual’s ability to access a health facility and obtain prescribed medicines . To measure acceptability/adoption, we collected information on patient adherence measures in exit interviews, and conducted a desk review to compare medicines included in the latest Nepal’s Essential Medicine List (EML) with the WHO recommendations.
Nepal has a population of ~29 million, the majority being concentrated in the capital, Kathmandu. We selected Kathmandu as the central survey area. Seven additional districts – namely, Bhaktapur, Rupandehi, Ilam, Jhapa, Khotang, Syangja and Kailali – were selected, representing five out of Nepal’s seven administrative divisions, i.e., all provinces except province no. 2 and 6. (Appendix E Figure 1).
We obtained a list of all public-sector hospitals in each of the selected districts. In each of the survey district, we randomly selected at least one public-sector hospital as ‘survey anchor’, for a total of 11 public-sector hospitals. Within two km radius of the 11 survey anchor facilities, we surveyed a total of 34 private-sector retail pharmacies. To collect data on routine CVD diagnostic tests, we surveyed a total of 12 secondary/tertiary care hospital facilities (nine in the public sector and three in the private sector) among the survey districts, during May–July 2017.
Upon reviewing the WHO Model EML, Nepal’s 2011 and 2016 National EMLs, and guidance documents on essential CVD care [13, 26], we identified 21 CVD essential medicines and 13 diagnostic tests for the survey (Tables 12).
|Generic name, dosage form, strength||2015 MSH IRPs (USD)||Public Sector||Private Sector||% price increase in private sector compared to public sector|
|MPR (Ratio of Median consumer price to MSH IRP)├||Number of days’ wages for monthly supply||MPR (Ratio of Median consumer price to MSH IRP)├||Number of days’ wages for monthly supply|
|1||Amlodipine, 5 mg tab||0.0061||6.38*||0.57||7.47*||0.67||17.3%|
|2||Aspirin, 100 mg tab||0.0062||0.72||0.07||0.77||0.07||7.5%|
|3||Atenolol, 50 mg tab||0.0059||5.49*||0.71||6.11*||0.80||11.4%|
|4||Atorvastatin, 10 mg/20 mg tab||0.0233||3.14||1.08§||2.63||0.90||–16.3%|
|5||Benzathine-benzylpenicilline, 2.4 million IU||0.2254||N/A||N/A||0.79||3.97§||4.7%|
|6||Captopril, 25 mg tab||0.0076||N/A||N/A||N/A||N/A||N/A|
|7||Digoxin, 0.25 mg tab||0.0169||1.42||0.35||1.33||0.33||–6.0%|
|8||Enalapril, 5 mg||0.0062||4.64*||0.85||6.08*||1.11§||31.0%|
|9||Frusemide, 40 mg tab||0.0062||1.24||0.11||1.37||0.13||10.5%|
|10||Glibenclamide, 5 mg tab||0.0053||14.79*||2.31§||N/A||N/A||N/A|
|11||Gliclazide, 80 mg tab||0.0222||1.98||1.30§||2.79||1.83§||41.5%|
|12||Hydrochlorothiazide, 25 mg tab||0.0049||5.43*||0.39||5.09*||0.37||–6.3%|
|13||Isosorbide Dinitrate, 10 mg tab||0.0215||N/A||N/A||0.94||1.78§||N/A|
|14||Losartan, 50 mg tab||0.0181||3.01||0.80||3.83||1.02§||27.2%|
|15||Metformin, 500 mg tab||0.0162||0.89||0.85||1.18||1.13§||33.3%|
|16||Nifedipine Retard, 20 mg tab||0.3840||0.11||0.90||0.13||1.06§||17.8%|
|17||Propranalol, 40 mg tab||0.0108||2.42||1.54§||3.55||2.26§||47.1%|
|18||Ramipril, 5 mg tab||N/A||N/A||0.69||N/A||0.80||16.5%|
|19||Simvastatin, 20 mg tab||0.0163||N/A||N/A||N/A||N/A||N/A|
|20||Soluble insulin, 40 IU vial||4.3800||0.47||3.02§||0.49||3.18§||5.2%|
|21||Spironolactone, 25 mg tab||0.0442||0.72||1.40§||0.66||1.30§||–7.3%|
|Median MPR [range]||2.19 [0.11–14.79]||1.37 [0.13–7.47]||Mean: 13.8%|
|Mean (SD) [Median (range)] number of daily wages for monthly supply||1.03 (0.77) [0.85 (0.07–3.02)]||1.26 (1.03)[1.04 (0.07–3.97)]|
|Name of the diagnostics||Availability (%)||Median Price of single test (USD)||No. of day’s wages for a single test|
|Public Sector (N = 9)||Private Sector(N = 3)||Overall||Public Sector||Private Sector||Public Sector||Private Sector|
|Full Blood Count||88.9%||100.0%||91.7%||1.39||1.92||0.68||0.94|
|Mean||72.6%||74.4%||73.1%||0.68 days||0.86 days|
Upon visiting the survey pharmacy facilities, the data collectors first explained the purpose of the study to the pharmacy personnel. Data collectors assessed product availability (in stock) on the day of survey and then collected information, including consumer price data for the originator brand (OB) and the lowest priced generic (LPG) versions of each survey medicine.
We report ‘availability’ as the percentage of surveyed facilities where a given medicine/diagnostic test was found on the day of survey. We evaluated consumer prices using the Management Sciences for Health international reference prices (MSH IRPs) as an external benchmark . The MSH IRPs are the procurement prices obtained by government agencies, pharmaceutical suppliers and international development organizations, and are widely accepted as an appropriate reference standard. For medicine price analysis, we compared consumer prices in Nepal with the 2015 MSH IRPs to calculate medicine-specific median price ratios (MPRs). According to the WHO, no patient should pay more than four times the IRPs. We also determined price variation among sectors i.e. percentage difference in price of CVD medicines in the private and public sector facilities. We also conducted medicine affordability analysis , where a chronic medicine is considered unaffordable if the lowest-paid worker has to spend over one days’ wage (i.e. 212.5 Nepalese rupees (NPR)/2.039 USD)  to purchase a one month medicine supply. For each CVD diagnostic test, we report median unit consumer price and how that compares to the lowest paid worker’s daily wage.
To evaluate medicine accessibility, during hypertension screening for the 2017 May Measurement Month , we conducted exit interviews, using a semi-structured questionnaire, among 949 patients (aged 18 years or above) who were visiting for regular health check-up and were found to be hypertensive. Of these 949 patients, we analyzed access-related data obtained from patients who were clinically diagnosed with and/or were prescribed medicines for CVD or diabetes. Alongside reporting various ‘access’ barriers (such as travel time to health/medicine facility, public-private health sector mix) among surveyed patients, we estimated how much the medicines and diagnostic tests required for managing various CVD risk profiles in Nepal’s public and private sector would cost as proportion of the patients’ monthly household income. Medication adherence (a measure of acceptability) was assessed using the 4-item Morisky Green Levine (MGL) medication adherence scale, a validated and widely-used tool that asks short behavioral questions in such a way that helps avoid ‘yes-saying’ bias commonly observed in chronic care patients [30, 31].
Figure 1A summarizes the mean availability of the surveyed CVD essential medicines – stratified by OB and generic equivalents – in Nepal’s public and private sectors.
The mean public and private sector availability of generic versions of CVD medicines was 47.2% and 48.9%, respectively. In both sectors, only 28.6% (n = 6) of the surveyed medicines met the WHO’s 80% availability target; these included amlodipine, atenolol, atorvastatin, enalapril, losartan and metformin. Captopril and simvastatin were not available in any surveyed facility.
The mean availability of OB versions in the public and private sectors was 3.6% and 4.8%, respectively. We found OB versions of only four medicines (4/21 = 19.1%) in the public sector and seven medicines (7/21 = 33.3%) in the private sector. In both the sectors, mean availability of the OB version of isosorbide dinitrate was higher than its generic counterpart but was no higher than 20%.
Table 1 summarizes the availability and affordability of generic CVD EMs, stratified by sector. Median MPR of CVD EMs was 2.19 [range: 0.11 (nifedipine) – 14.79 (glibenclamide)] in the public-sector and 1.37 [0.13 (nifedipine) – 7.47 (amlodipine)] in the private-sector facilities. Compared to the public sector, on average, private-sector prices were 13.8% higher and those for enalapril, glicazide, losartan, metformin and propranalol were over 25% higher.
In Nepal’s private sector, a lowest paid worker would spend between the range of 0.07 (aspirin) and over three days’ wages (insulin and benzathine-benzyl penicillin) to purchase a monthly supply of a given generic CVD/diabetes EM. On average, a monthly supply of any individual generic EM would cost 1.03 and 1.26 days’ wages in the public and private sectors, respectively. In the public and private sectors, a monthly supply of nearly 29% and 50% of the surveyed medicines, respectively, would cost more than a day’s wage, for a monthly supply. See Appendix E Table 2 for median price of OB medicines.
Figure 1B plots affordability against availability for private-sector generic medicines. The most ‘accessible’ are those lying at or near the lower right-hand quadrant, that is, enalapril, metformin, atorvastatin, atenolol and amlodipine.
Table 2 summarizes the availability, prices and affordability of routine diagnostic tests in Nepal’s public and private sectors. In both sectors combined, mean (SD) availability was 73.1% (26.8%); ranging from 8.3% (LDL cholesterol) to 100% (creatinine and urea). Mean availability of diagnostics was 74.4 and 72.6 in the private and public sectors, respectively. Tests for LDL cholesterol were not available in any of the three surveyed private-sector hospitals.
In the public sector, the median price of diagnostic tests ranged from USD 0.34 (proteinuria) to USD 3.84 (HbA1c). The median public-sector prices of all diagnostic tests – except HbA1c and HDL cholesterol – were lower compared to the private sector. In the private sector, the median price of diagnostic tests ranged from USD 0.96 to USD 1.92. The lowest-paid worker would spend mean 0.68 [range: 0.16 (proteinurea) – 1.88 (Hb1Ac)] and 0.86 [range: 0.47 (proteinurea) to 1.41 (ECG)] days’ wage to pay for a single diagnostic test in the public and private sectors, respectively.
Table 3a and 3b show the estimated monthly costs of managing different cardiovascular risk profiles in Nepal’s private and public sectors, respectively, as proportion of three monthly-household-income levels i.e. USD ≤100 (≤ NPR 10,000), USD 100 – ≤ 200, and USD 200 – ≤300. See appendix E Table 3 for distribution of surveyed patients’ monthly household income. At the lowest CVD risk that requires only annual risk monitoring, the costs for such management – as a proportion of monthly household income of USD 100 – would be 0.57% and 0.43% in the private and public sectors, respectively. As the risk profiles increase for primary prevention, the estimated proportions also increase. The ranges are based on the least and most expensive of the various medicines listed. Thus, a high CVD-risk person who belongs to the lowest household income level (100 USD/month) and undergoes private-sector interventions for primary prevention, would spend 5.0–6.6% of their monthly household income on these interventions. If this person is undergoing clinical CVD interventions as secondary prevention, the expenditure would be 7.5–11.2% of the monthly household income.
|3A. Private sector|
|Prevention||Risk||Intervention||Cost of medicines (USD | no. of days’ wages)||Cost of tests(USD | no. of days’ wages)||Total cost (USD | no. of days’ wages)||Total cost as proportion of monthly household income|
|≤USD 100||USD 100– ≤200||USD 200– ≤300|
|Primary||<10%||Lifestyle changes + risk monitoring once in 12 months||N/A||0.571 | 0.28||0.571 | 0.28||0.57%||0.29%||0.19%|
|10–20%||Lifestyle changes + risk monitoring once in 6 months||N/A||1.162 | 0.57||1.162 | 0.57||1.16%||0.58%||0.39%|
|20–30%||Statina + one antihypertensiveb + risk monitoring once in 6 months||2.590–4.098 | 1.27–2.01||1.162 | 0.57||3.752–5.260 | 1.84–2.58||3.75–5.26%||1.88–2.63%||1.25–1.75%|
|≥30%||Statina + one antihypertensiveb + aspirin + risk monitoring once in 3 months||2.732–4.241 | 1.34–2.08||2.304 | 1.13||5.036–6.545 | 2.47–3.21||5.04–6.55%||2.52–3.27%||1.68–2.18%|
|Secondary||ß-blockerc + ACE Inhibitord + statin a + aspirin + risk monitoring once in 3 months||5.240–8.849 | 2.57–4.34||2.304 |1.13||7.544–11.153 | 3.70–5.47||7.54–11.15%||3.77–5.58%||2.51–3.72%|
|3B. Public sector|
|Primary||<10%||Lifestyle changes + risk monitoring once in 12 months||N/A||0.428 | 0.21||0.428 | 0.21||0.43%||0.21%||0.14%|
|10–20%||Lifestyle changes + risk monitoring once in 6 months||N/A||0.877 | 0.43||0.877 | 0.43||0.88%||0.44%||0.29%|
|20–30%||Statina + one antihypertensiveb + risk monitoring once in 6 months||2.997–4.037 | 1.47–1.98||0.877 | 0.43||3.874–4.914 | 1.90–2.41||3.87–4.91%||1.94–2.46%||1.29–1.64%|
|≥30%||Statina + one antihypertensive b + aspirin + risk monitoring once in 3 months||3.140–4.180 | 1.54–2.05||1.733 | 0.85||4.873–5.913 | 2.39–2.90||4.87–5.91%||2.44–2.96%||1.62–1.97%|
|Secondary||ß-blockerc + ACE Inhibitord + statina + aspirin + risk monitoring once in 3 months||5.199–7.218 | 2.55–3.54||1.733 | 0.85||6.932–8.950 | 3.40–4.39||6.93–8.95%||3.47–4.48%||2.31–2.98%|
We note that if this same person were unfortunate enough to also suffer from diabetes and require either metformin or insulin, the private-sector cost for these medicines would lead to an additional 2.3% (metformin) to 6.5% (insulin) of USD 100 monthly household income, 1.2%–3.2% with USD 200 monthly income, and 0.8%–2.3% with USD 300 monthly income. The highest percentage of monthly household income spent by one person in a household undergoing insulin treatment as well as secondary prevention for CVD would approach 18% (i.e., 11.2% + 6.5%).
Of the 949 patients, 67.0% (n = 636) had been clinically diagnosed with and/or were prescribed medicines for CVD or diabetes but only 56.0% (n = 531) of them were prescribed anti-hypertensive medications.
The 636 patients with confirmed evidence of CVD and/or diabetes were interviewed for access barriers. Among those, the median (Q1-Q3) age was 55.0 (44.0–64.0) years, 51% were women, and 56% of patients had a household income of NPR 20,000 (USD 167.7) or higher. See Appendix E Table 3 for demographic details. The majority (n = 328; 51.1%) sought general healthcare advice in the private sector. Forty-four patients (6.9%) reported to have missed a scheduled healthcare consultation in the last month. A majority of patients reported purchasing medicines in the private sector (retail pharmacies: 16.7%; hospital/clinics: 56.8%), and 26.6% obtained medicines from public-sector hospitals or primary healthcare centers. Twenty-nine patients (4.6%) reported to not have any prescribed medicines at home, and most of these interviewees (82.8%) reported an inability to afford medicines as the main reason limiting access. A majority of patients walked to their respective health facility (53.9%), followed by use of a bicycle or motor vehicle (e.g., private vehicle, public bus). Patients spent a median of 15, 20 and 60 minutes, respectively, via walk, bicycle and motor vehicle. Patients who traveled to health facility by motor vehicle spent about NPR 100 (USD 0.96) per visit. Furthermore, about 25.9% patients used alternative treatment/therapy to manage their cardio-metabolic diseases along with physician advice and prescribed allopathic medications. Of these, most patients used Ayurvedic and Homeopathic medicines. See Table 4.
|Access measures||Number of patients (%)|
|Patients who were diagnosed with and/or prescribed medications for CVD or diabetes (cardio-metabolic).||636 (100.0%)|
|Patients who already had been prescribed with anti-hypertensive medication.||531 (83.5%)|
|Healthcare checkup and consultation by sector, n (%)|
|Distribution of healthcare facility-mix where patients sought regular consultations and advice.|
|Public sector||106 (16.7%)|
|Private sector||205 (32.2%)|
|Patients who missed a scheduled healthcare visit in last one month.||44 (6.9%)|
|Medication use and access, n (%)|
|Patients who were diagnosed with and/or prescribed medications for CVD or diabetes (cardio-metabolic).||636 (100.0%)|
|Outlets where patients usually obtained their medications.|
|Public-sector hospitals||115 (18.1%)|
|Public-sector primary health care centers||54 (8.5%)|
|Private-sector hospitals/clinics||361 (56.8%)|
|Private retail pharmacies||106 (16.7%)|
|Patients who did not have prescribed cardio-metabolic medications at home, n (%).||29 (4.6%)|
|Reasons reported for limited access (i.e. no medicines at home).|
|Medicines unavailable at pharmacy facility.||1 (3.5%)|
|Medicine available but not affordable.||24 (82.8%)|
|Lack of time to purchase medicines.||4 (13.8%)|
|Travel to healthcare/pharmacy facility to obtain medications.||n (% patients)||Time in minutes, Median (IQR)||Cost in NPR, Median (IQR)|
|Mode of Transportation.|
|Walk||342 (53.9%)||15 (10, 30)||–|
|Cycle||16 (2.5%)||20 (10, 30)||–|
|Motor vehicle (Bus/car/taxi)||276 (9.5%)||60 (30, 60)||100 (40, 150)|
|Patients who also use alternative therapy, apart from physician/allopathic treatment, n (%).||165 (25.9%)|
|Salam healers/dhami/Jhakri||3 (0.5%)|
|Home remedies||109 (17.1%)|
|Morisky predictive score*, Mean (SD)||2.9 (0.46)|
|Patients who ever forget to take medicine on time, n (%)||71 (11.2%)|
|Patients who reported to be careless about taking medicines, n (%)||604 (95.4%)|
|Patients who sometime stop taking medicines when they feel better, n (%)||30 (4.7%)|
|Patients who sometime stop taking medicines when they feel worse, n (%)||17 (2.7%)|
Nepal’s national EML was last updated in 2016, five years after the prior version. The 2016 Nepal list includes a total of 36 CVD and diabetes medicines (irrespective of dosage form). These include 25 out of 30 medicines listed in the 2017 WHO Global EML (83.3%), and of 35 medicines listed in the 2019 WHO Global EML (71.4%). Nepal’s 2016 EML has 10 medicines [i.e. oral formulations of disopyramide, fenofibrate, glipizide, nifedipine, prazosin, procainamide and ramipril, and injections of dobutamine, isoprenaline, labetalol and procainamide] that are not listed in either the 2017 or 2019 WHO Global EML. Furthermore, the WHO approved four BP-lowering fixed-dose combinations (FDCs) for inclusion in the 2019 Global EML, and these FDCs are not listed in the Nepalese 2016 EML [32, 33]. See details in Appendix E Table 4. In another measure of acceptability, we found that medication adherence – measured using the MGL Adherence Scale – was poor among the surveyed population (Table 4).
In Nepal, CVDs are the leading cause of lost disability-adjusted life years and mortality [34, 35], and the nation-wide prevalence of type 2 diabetes is 8.4% (95% CI: 6.2–10.5%) , approaching 12% in semi-urban areas . To the best of our knowledge, this is the first study evaluating the preparedness to deliver NCD care in Nepal, in terms of availability, prices, affordability and accessibility of both medicines and diagnostics that are essential to treat CVDs and diabetes. The risk factors for CVD and diabetes begin sub-clinically and patients may not present to healthcare professionals until there are serious symptoms – making early diagnosis and disease management difficult . There are multiple reasons for such late patient presentation but limited access to both medicines and diagnostics is surely one of them. We note that both CVD and diabetes are, unfortunately, ‘underlying conditions’ contributing to COVID-19 mortality .
Mean availability of generic versions of surveyed medicines is low (<50%) in both public and private sectors, and less than one third of the surveyed medicines met the WHO’s 80% availability target. Mean availability of OB versions was nearly ten times lower than their generic counterparts, which is not surprising as price competition from generics has essentially eliminated OB in most LMIC markets . Our findings agree with the few, earlier assessments that reported overall limited availability of medicines, and that the availability is relatively higher in the private sector (Appendix E Table 1). A recent survey of NCD medicines in Nepal reported higher availability estimates (70% in private sector vs. 68% in public sector) compared to our findings, possibly because the 2015 survey was not CVD or diabetes-focused and collected data from pharmacy facilities only in highly-populated areas .
Notwithstanding the WHO recommendation that no medicine should cost more than four times its IRP, five surveyed essential medicines (amlodipine, atenolol, enalapril, glibenclamide and hydrochlorothiazide) exceeded this target, although the IRP for these medicines is very low (See Figure 1b). The monthly supply of aspirin, a statin, a beta-blocker, and ACE inhibitor cost the lowest paid worker about 2.6 to 4.3 days’ wages in Nepal’s private sector, depending on the drugs prescribed. Although monotherapy with first-line agents for hypertension (i.e. hydrochlorothiazide or amlodipine) was affordable, most hypertensive patients eventually require combination therapy with other agents, which may well be difficult to afford. However, monotherapy with oral hypoglycemic agents (e.g., glibenclamide, gliclazide, metformin) or insulin are expensive in both sectors, costing between 0.85 and 3.18 days’ wages. This is consistent with prior findings [41, 42]. The majority (82.8%) of exit survey participants reported their general inability to afford medicines as the main reason limiting access. Several of the surveyed medicines (over 35% in public sector and 50% in private sector) cost more than 1-day’s wage (Table 1). One measure towards reducing cost of medicines would be to update the Nepalese EML and clinical guidelines to adopt BP-lowering FDCs that were recently included in the 2019 WHO EML based on their clinical efficacy and lower costs [32, 33].
Medicines to treat CVD and diabetes are only part of the story. Diagnostic tests are essential to provide effective care to patients. Not only are those required for early identification of disease, but they also can ensure appropriate therapy initiation and continued disease and risk monitoring. In Nepal’s public and private sectors, mean availability of surveyed diagnostic tests ranged from 8.3% (LDL cholesterol) to 100% (creatinine and urea). An overall lack of health facilities’ diagnostics capacity limits a health system’s preparedness to provide general health services related to NCD care [43–45]. Although diagnostics appear affordable in our study, over-expenditure is likely in patients with higher health risk who require frequent risk-monitoring. Regarding other dimensions of ‘access,’ we found that the majority of patients walked to their respective health facility, the rest coming by bicycle or motorized transportation. Long motorized travel times averaging one hour are indicative of far-off health facilities, and erratic schedules and wait times in public-transport.
Expensive medicines and diagnostics may impose a significant household financial burden with high out-of-pocket (OOP) healthcare payments leading to financial distress . We estimated the fraction of monthly income relegated to medicines and diagnostic tests under certain assumptions of CVD risk. This fraction can range upwards of 10% of monthly household income for one person with CVD in a Nepalese household (See Tables 3a and 3b). There exists even a higher risk for catastrophic health spending when CVD patients also suffer from diabetes, a not uncommon occurrence . A majority of the Nepal population resorts to out-of-pocket (OOP) payments, which constitute nearly 75% of the overall private expenditure – much larger than the WHO estimate of 45% OOP expenditure in LMICs .
In Nepal, the EML only serves as a guide for health practitioners; there is a lack of financial commitment from the government to provide the medicines and vaccines on the list, which means that they may not necessarily be free of charge or even available in public facilities . Nepal’s EML implementation suffers from a weak evidence-based foundation sufficient to develop EMLs that are verifiable and accurate . We urge that evidence-based criteria should be implemented for proper EML resource allocation, including medicine and diagnostic procurement and distribution, as it is important to outline a mechanism for its development. The health technology assessment model proposed by Singh, et al. (2017) offers a useful starting point .
Over the past decade, Nepal has introduced some programs to prioritize provision of essential healthcare services with special emphasis on CVDs. Their implementation requires knowledge of NCD burden, which is impossible without a national registry system to monitor NCDs. Nepal recently underwent a transition to federalism, aiming to decentralize political and economic power [25, 49]. Within the first two years of the transition, provincial and local governments accounted for about 34% of the national budget, significantly boosting their fiscal responsibility . In April 2016, Nepal rolled out its National Health Insurance Programme (NHIP) that offers health services to those enrolled on voluntary basis enrollees through public-sector and select private-sector facilities. Despite NHIP’s subsidized premium rates for the socio-economically disadvantaged, its adoption remains low and cited reasons include limited access to services [51, 52]. Ensuring uninterrupted supplies of medical commodities and services is a public health challenge, as Nepal is not a major local producer of medicines . This requires scaling up the ability of local bodies to manage drug procurement and general logistics and have adequate human resources in local healthcare centers [25, 49]. This scale-up provides the opportunity to embed improvement in access dimensions of medicines and diagnostics directly in the core of health system policy and planning .
The WHO/HAI survey is cross-sectional and misses the patterns of access over time. We could not perform a household survey which would tally all household expenses. Such a survey is, at present, the best way to really understand the poverty-inducing impact of biomedical product prices on household income. Further, Nepalese essential medicine lists are not continually updated, which results in obsolete medicines such as captopril being listed as essential. Our study did not evaluate the ‘quality’ dimension of access due to lack of required resources. Lastly, the patients in our exit surveys were interviewed at healthcare facilities and these patients may actually have better care-seeking behavior and/or improved access to healthcare than the average population.
Access to quality and affordable medicines are pivotal to achieving universal health coverage in Nepal. Our study suggests that much needs to be done in several dimensions of access to CVD and diabetes care. Particularly at the local level, information on access to medicines is necessary to make data-driven decision regarding optimizing delivery of health services. For Nepal, increasing access to health services, improving quality of health services and quality of affordable medicines has not received much attention. The National Insurance Policy of 2013, and The National Health Sector Strategy (2015–2020) was built on a patchwork of global policies – not entirely based on local needs – and precludes a strong focus on establishing a national medicines price monitoring system. Thus, establishing a national drug price monitoring body may improve procurement. Further regular mapping of access to medicines, by leveraging the large national surveys, could potentially help to continuously monitor the situation – until more efficient monitoring systems are developed. On the global level, such efforts can leverage into outreach programs like International Society of Hypertension’s flagship blood-pressure screening campaign .
This study provides evidence of limited access to cardiovascular and diabetes care in both public and private sectors of Nepal due to low availability and poor affordability of essential medicines and diagnostic tests. Research and policy efforts are needed to improve access.
The data used and/or analyzed for the current study are available from the corresponding authors on reasonable request.
The ethical approval for this study was obtained from the Nepal Health Research Council (Approval: 102/2018).
The authors thank Harikrishna Bhattarai, Liladhar Dhakal, Pabitra Babu Swoti, Hari Pokharel, and Sweta Koirala from Nepal Development Society for their support in patient-survey data collection. We thank all the pharmacists, health facility staff, and patients who took time to participate in our survey.
This research received no specific grant from any funding agencies in the public, commercial, or not-for-profit sectors.
The authors have no competing interests to declare.
AS and SRM conceived the study idea. AS and SRM developed the research methodology and planned the field survey with inputs from WAK and IPP. IPP, PG, DN, PMB, MM, and SS provided inputs for survey planning, conducted survey data collection and entry. AS and SRM conducted the data analysis with support from GS. AS, WAK, GS, and SRM conducted the literature review, interpreted the study results, wrote first draft of the manuscript, and revised and edited the subsequent versions of manuscript to its final stages. All authors reviewed and approved the final manuscript. The views expressed in this article are of the authors and not necessarily of the institutions of their affiliations.
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