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Health System Capacity and Access Barriers to Diagnosis and Treatment of CVD and Diabetes in Nepal Cover

Health System Capacity and Access Barriers to Diagnosis and Treatment of CVD and Diabetes in Nepal

Open Access
|May 2021

Figures & Tables

Table 1

Median price ratios (MPR) and affordability of generic essential medicines in Nepal.

Generic name, dosage form, strength2015 MSH IRPs (USD)Public SectorPrivate 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 supplyMPR (Ratio of Median consumer price to MSH IRP)Number of days’ wages for monthly supply
1Amlodipine, 5 mg tab0.00616.38*0.57  7.47*0.67  17.3%
2Aspirin, 100 mg tab0.00620.72  0.07  0.77  0.07  7.5%
3Atenolol, 50 mg tab0.00595.49*0.71  6.11*0.80  11.4%
4Atorvastatin, 10 mg/20 mg tab0.02333.14  1.08§2.63  0.90  –16.3%
5Benzathine-benzylpenicilline, 2.4 million IU0.2254N/A  N/A  0.79  3.97§4.7%
6Captopril, 25 mg tab0.0076N/A  N/A  N/A  N/A  N/A
7Digoxin, 0.25 mg tab0.01691.42  0.35  1.33  0.33  –6.0%
8Enalapril, 5 mg0.00624.64*0.85  6.08*1.11§31.0%
9Frusemide, 40 mg tab0.00621.24  0.11  1.37  0.13  10.5%
10Glibenclamide, 5 mg tab0.005314.79*2.31§N/A  N/A  N/A
11Gliclazide, 80 mg tab0.02221.98  1.30§2.79  1.83§41.5%
12Hydrochlorothiazide, 25 mg tab0.00495.43*0.39  5.09*0.37  –6.3%
13Isosorbide Dinitrate, 10 mg tab0.0215N/A  N/A  0.94  1.78§N/A
14Losartan, 50 mg tab0.01813.01  0.80  3.83  1.02§27.2%
15Metformin, 500 mg tab0.01620.89  0.85  1.18  1.13§33.3%
16Nifedipine Retard, 20 mg tab0.38400.11  0.90  0.13  1.06§17.8%
17Propranalol, 40 mg tab0.01082.42  1.54§3.55  2.26§47.1%
18Ramipril, 5 mg tabN/AN/A  0.69  N/A  0.80  16.5%
19Simvastatin, 20 mg tab0.0163N/A  N/A  N/A  N/A  N/A
20Soluble insulin, 40 IU vial4.38000.47  3.02§0.49  3.18§5.2%
21Spironolactone, 25 mg tab0.04420.72  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 supply1.03 (0.77) [0.85 (0.07–3.02)]1.26 (1.03)[1.04 (0.07–3.97)]

[i] Median Price Ratio (MPR) is calculated by dividing the median consumer price of a given medicine with the respective MSH international reference price (IRP). An MPR of 1.00 would mean that the medicine consumer price is equal to its IRP. The WHO recommends that median consumer price should not be 4 times greater than the MSH IRP. MRPs greater than 4.00 are marked with asterisks (*).

All unaffordable medicines (i.e. those medicines for which a month’s supply costs > 1 day’s lowest paid wage) are marked with symbol (§). N/A refers to the medicines where MSH IRP or at least four consumer price data points were not available.

Table 2

Availability, prices and affordability of routine CVD and diabetes diagnostic tests in secondary and tertiary healthcare facilities in Nepal.

Name of the diagnosticsAvailability (%)Median Price of single test (USD)No. of day’s wages for a single test
Public Sector (N = 9)Private Sector(N = 3)OverallPublic SectorPrivate SectorPublic SectorPrivate Sector
Creatinine100.0%100.0%100.0%0.961.920.470.94
ECG77.8%66.7%75.0%1.922.880.941.41
Full Blood Count88.9%100.0%91.7%1.391.920.680.94
Glycemia100.0%100.0%100.0%0.580.960.280.47
HbA1c55.6%33.3%50.0%3.840.961.880.47
HDL cholesterol55.6%66.7%58.3%1.921.680.940.82
Kalemia55.6%66.7%58.3%1.342.640.661.29
LDL Cholesterol11.1%0.0%8.3%
Proteinurea88.9%100.0%91.7%0.340.960.160.47
Total Cholesterol66.7%66.7%66.7%1.441.680.710.82
Triglyceride55.6%66.7%58.3%0.961.680.470.82
Urea100.0%100.0%100.0%0.961.920.470.94
Uric Acid88.9%100.0%91.7%0.941.920.460.94
Mean72.6%74.4%73.1%0.68 days0.86 days
Figure 1

(A) Mean availability of CVD and diabetes essential medicines in Nepal’s public and private sectors, and (B) Availability and affordability of selected medicines in the private-sector facilities.

Table 3

Estimated costs of managing cardiovascular risk profile in Nepal’s private and public sectors.

3A. Private sector
PreventionRiskInterventionCost 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 100USD 100– ≤200USD 200– ≤300
Primary<10%Lifestyle changes + risk monitoring once in 12 monthsN/A0.571 | 0.280.571 | 0.280.57%0.29%0.19%
10–20%Lifestyle changes + risk monitoring once in 6 monthsN/A1.162 | 0.571.162 | 0.571.16%0.58%0.39%
20–30%Statina + one antihypertensiveb + risk monitoring once in 6 months2.590–4.098 | 1.27–2.011.162 | 0.573.752–5.260 | 1.84–2.583.75–5.26%1.88–2.63%1.25–1.75%
≥30%Statina + one antihypertensiveb + aspirin + risk monitoring once in 3 months2.732–4.241 | 1.34–2.082.304 | 1.135.036–6.545 | 2.47–3.215.04–6.55%2.52–3.27%1.68–2.18%
Secondaryß-blockerc + ACE Inhibitord + statin a + aspirin + risk monitoring once in 3 months5.240–8.849 | 2.57–4.342.304 |1.137.544–11.153 | 3.70–5.477.54–11.15%3.77–5.58%2.51–3.72%
3B. Public sector
Primary<10%Lifestyle changes + risk monitoring once in 12 monthsN/A0.428 | 0.210.428 | 0.210.43%0.21%0.14%
10–20%Lifestyle changes + risk monitoring once in 6 monthsN/A0.877 | 0.430.877 | 0.430.88%0.44%0.29%
20–30%Statina + one antihypertensiveb + risk monitoring once in 6 months2.997–4.037 | 1.47–1.980.877 | 0.433.874–4.914 | 1.90–2.413.87–4.91%1.94–2.46%1.29–1.64%
≥30%Statina + one antihypertensive b + aspirin + risk monitoring once in 3 months3.140–4.180 | 1.54–2.051.733 | 0.854.873–5.913 | 2.39–2.904.87–5.91%2.44–2.96%1.62–1.97%
Secondaryß-blockerc + ACE Inhibitord + statina + aspirin + risk monitoring once in 3 months5.199–7.218 | 2.55–3.541.733 | 0.856.932–8.950 | 3.40–4.396.93–8.95%3.47–4.48%2.31–2.98%

[i] Minimal WHO Recommended tests (fasting blood sugar, cholesterol, potassium levels, proteinuria and ECG) would cost the lowest paid worker 6.10 and 4.16 days’ wages in the private and public sectors respectively. Risk monitoring (lipid profile, fasting blood sugar and proteinuria) would cost 3.40 and 2.56 days’ wages in private and public sectors respectively. From these values, we calculated costs for monitoring risk once in 12 months, 6 months and 3 months.

a Includes atorvastatin and simvastatin; b Includes amlodipine, nifedipine, hydrochlorothiazide, ramipril, captopril and enalapril; c Includes atenolol and propranolol; d Includes ramipril, captopril and enalapril.

Lowest daily wage for workers in Nepal at the time of survey was USD 2.039 (NPR 212.5). Mean household income among the exit interview participants was USD 239.87 (NPR 25,000). Diabetic patients would require a hypoglycaemic medicine (metformin/insulin) which additionally costs 1.13–3.18 days’ wages in private sector and 0.85–3.02 days’ wages in public sector.

Table 4

Medicine accessibility among CVD and diabetes patients.

Access measuresNumber 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 sector106 (16.7%)
    Private sector205 (32.2%)
    Both328 (51.1%)
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 hospitals115 (18.1%)
    Public-sector primary health care centers54 (8.5%)
    Private-sector hospitals/clinics361 (56.8%)
    Private retail pharmacies106 (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.
    Walk342 (53.9%)15 (10, 30)
    Cycle16 (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%)
    Ayurveda23 (3.6%)
    Homeopathy15 (2.4%)
    Salam healers/dhami/Jhakri3 (0.5%)
    Home remedies109 (17.1%)
    Others15 (2.4%)
Medication adherence
    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%)

[i] * Adherence level on a scale of 0–4, where score 0 refers to lowest and score 4 refers to highest level of adherence.

DOI: https://doi.org/10.5334/gh.927 | Journal eISSN: 2211-8179
Language: English
Submitted on: Sep 23, 2020
Accepted on: Mar 26, 2021
Published on: May 18, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Abhishek Sharma, Warren A. Kaplan, Gautam Satheesh, Indra Prasad Poudyal, Pawan Gyawali, Dinesh Neupane, Parash Mani Bhandari, Milan Malla, Surendra Sapkota, Shiva Raj Mishra, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.