| Literature DB >> 32201625 |
Vineet Bhatia1, Rahul Srivastava1, K Srikanth Reddy2, Mukta Sharma1, Partha Pratim Mandal1, Natasha Chhabra3, Shubhi Jhalani4, Sandip Mandal5, Nimalan Arinaminpathy6, Tjandra Yoga Aditama1, Swarup Sarkar7.
Abstract
The Southeast Asia Region continues to battle tuberculosis (TB) as one of its most severe health and development challenges. Unless there is a substantial increase in investments for TB prevention, diagnosis, care and treatment, there will be catastrophic effects for the region. The uncontrolled TB burden impacts socioeconomic development and increase of drug resistance in the region. Based on epidemiological inputs from a mathematical model, a costing analysis estimates that the desired targets of ending TB are achievable with additional interventions, and critical thresholds require an increase in spending by almost double the current levels. The data source for financial allocation to TB programmes is the report submitted by countries to WHO, while projections are based on modelling. The model accounts for funding needs for all strategies based on published data and accounts for programme and patient costs. This paper delineates the resource needs, availability and gaps of ending TB in the region. It is estimated that close to US$2 billion per year are needed in the region for TB-related activities for a meaningful bending of the incidence curve towards ending TB. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: end TB targets; resource needs; southeast Asia region; tuberculosis
Mesh:
Year: 2020 PMID: 32201625 PMCID: PMC7059409 DOI: 10.1136/bmjgh-2019-002073
Source DB: PubMed Journal: BMJ Glob Health ISSN: 2059-7908
List of interventions modelled
| Package | Intervention | Coverage |
| Strengthen | Private and non-NTP sector engagement | Engage at least 80% of non-NTP providers (private sector, non-governmental organisations (NGOs) and other government sector) to implement diagnostic tests, treatment regimen and adherence at the same level as in public sector over 5 years from the starting of the intervention. Similar to Public–Private Support Agency mechanisms developed in India. |
| Improved programmatic diagnostics | Accelerated substitution (ultimately 80%) of smear by rapid molecular test, for NTP and engaged non-NTP providers. Involves X-ray screening followed by confirmation, with 20% receiving rapid tests without screening. This results in: (1) the probability of diagnosis per patient visit increasing to 95% in the NTP/engaged non-NTP sector, and (2) at least 80% of patients receiving drug-susceptibility test at the point of TB diagnosis. | |
| Improved programmatic treatment cascade | Increase treatment initiation and completion rates in NTP sector (including engaged non-NTP providers) to 95%. | |
| Accelerate | Systematic screening in risk groups | Systematic screening of identified high-risk groups using symptoms and/or X-rays followed by confirmation, at a given annual frequency. |
| Extended contact investigation in the general population | Screen for active TB among extended contacts, including household, social and occupational. | |
| Prevent | Adoption of current WHO guidelines | Full uptake of preventive therapy with high adherence rates among those with HIV, household contacts of reported TB cases (all ages), and other clinical risk groups, for example, those with silicosis, transplantation patients, and so on. |
The interventions are modelled in combination, added progressively in the order listed here. See published mathematical model9 for further technical details on these intervention scenarios.
NTP, National TB Programme; TB, tuberculosis.
Programme resource needs (RN) projected estimates 2017–203029
| All SEAR | Increased programme diagnosis cost | Increased programme treatment cost | Increased total programme costs | Total RN*: increased programme+base costs |
| US$ millions | US$ millions | US$ millions | US$ millions | |
| +Private sector engagement (PSE) | 1261.4 | 683.4 | 1944.8 | 10 376.9 |
| +Laboratory expansion (LE), PSE | 1164.7 | 849.5 | 2014.2 | 10 446.2 |
| +New diagnostics (ND), PSE, LE | 3463.3 | 4635.5 | 8098.8 | 16 530.9 |
| +National TB Programme (NTP) treatment, PSE, LE, ND | 2832.7 | 4475.3 | 7307.9 | 15 740.0 |
| +Contact tracing (CT), PSE, LE, ND, NTP | 6528.0 | 4421.0 | 10 949.0 | 19 381.0 |
| +Community referral (CR), PSE, LE, ND, NTP, CT | 13 775.7 | 4322.1 | 18 097.8 | 26 529.9 |
| +Preventive therapy, Tuberculin Skin Test (TST), PSE, LE, ND, NTP, CT, CR | 0 | 614.9 | 18 712.7 | 27 144.8 |
*RN in this column is the total of projected baseline costs based on current trend of expenditures and the increased needs for implementation of enhanced service packages.
SEAR, Southeast Asia Region.
Distribution of resource need within the region
| Baseline costs | +Private sector engagement | +Laboratory expansion | +New diagnostics | +National TB Programme treatment | +Contact tracing | +Community referral | +Preventive therapy | |||||||||
| Annual average | Annual average | Annual average | Annual average | Annual average | Annual average | Annual average | Annual average | |||||||||
| Programme | Total | Programme | Total | Programme | Total | Programme | Total | Programme | Total | Programme | Total | Programme | Total | Programme | Total | |
| Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | Av US$ capita | |
| Bangladesh | 0.31 | 1.73 | 0.3 | 1.7 | 0.3 | 1.7 | 0.4 | 1.8 | 0.4 | 1.7 | 0.5 | 1.6 | 0.6 | 1.3 | 0.6 | 1.3 |
| DPR Korea | 0.52 | 3.80 | 0.6 | 3.9 | 0.6 | 3.9 | 0.9 | 4.4 | 0.9 | 4.1 | 1.2 | 4.0 | 1.2 | 3.0 | 1.3 | 2.9 |
| India | 0.19 | 1.17 | 0.2 | 1.3 | 0.2 | 1.3 | 0.5 | 1.6 | 0.4 | 1.4 | 0.5 | 1.4 | 0.7 | 1.5 | 0.8 | 1.5 |
| Indonesia | 0.44 | 4.50 | 0.6 | 4.8 | 0.6 | 4.8 | 0.8 | 5.1 | 0.9 | 4.7 | 1.1 | 4.7 | 1.4 | 3.9 | 1.4 | 3.7 |
| Myanmar | 0.86 | 2.33 | 0.9 | 2.4 | 0.9 | 2.4 | 1.2 | 2.9 | 1.1 | 2.5 | 1.3 | 2.6 | 1.4 | 2.5 | 1.4 | 2.3 |
| Thailand | 0.20 | 3.13 | 0.3 | 3.5 | 0.3 | 3.5 | 0.5 | 3.5 | 0.4 | 3.2 | 0.7 | 3.2 | 1.6 | 3.5 | 1.6 | 3.3 |
| Bhutan | 0.88 | 1.85 | 0.9 | 1.9 | 0.9 | 1.9 | 1.0 | 1.9 | 1.0 | 1.8 | 1.1 | 1.8 | 1.3 | 2.0 | 1.3 | 1.9 |
| Maldives | 1.72 | 3.29 | 1.7 | 3.3 | 1.7 | 3.3 | 1.8 | 3.2 | 1.8 | 3.0 | 1.9 | 3.0 | 3.1 | 4.2 | 3.1 | 4.1 |
| Nepal | 0.44 | 0.95 | 0.5 | 1.0 | 0.5 | 1.0 | 0.6 | 1.2 | 0.6 | 1.1 | 0.7 | 1.1 | 0.8 | 1.2 | 0.8 | 1.1 |
| Sri Lanka | 0.42 | 1.47 | 0.5 | 1.6 | 0.5 | 1.6 | 0.6 | 1.5 | 0.5 | 1.4 | 0.6 | 1.4 | 1.4 | 2.1 | 1.4 | 2.1 |
| Timor-Leste | 2.75 | 7.47 | 2.7 | 7.3 | 2.7 | 7.1 | 3.1 | 7.6 | 3.0 | 7.2 | 3.4 | 6.9 | 3.4 | 5.8 | 3.4 | 5.6 |
DPR, Democratic People's Republic; SEAR, Southeast Asia Region.
Countrywise funding available for tuberculosis programmes
| Countries | Budget available for 2018 (at the beginning of the year) | Total allocated | GNI per capita (US$) | Health expenditure per capita (US$) | Share of government in total health spending (%) | ||||
| Domestic | Global Fund | USAID | Other sources | Total available | |||||
| Bangladesh | 9.50 | 36.65 | – | – | 46 | 66.4 | 4040 | 31.84 | 27.9 |
| DPR Korea | 5.72 | 0.27 | – | 0.64 | 7 | 83.8 | NA | NA | NA |
| India | 458.06 | 71.44 | 20.00 | 30.00 | 580 | 579.5 | 7060 | 63.32 | 30.0 |
| Indonesia | 101.57 | 38.50 | 9.11 | 0.27 | 149 | 294.5 | 11 900 | 111.76 | 37.8 |
| Myanmar | 2.13 | 25.72 | 1.00 | 3.01 | 32 | 57.7 | 5830 | 59.12 | 45.9 |
| Thailand | 22.39 | 3.44 | – | 0.03 | 26 | 25.9 | 17 090 | 217.15 | 86.0 |
| Bhutan | 0.61 | 0.48 | – | – | 0 | 1.0 | 8850 | 91.11 | 73.2 |
| Maldives | 0.18 | – | – | – | 0 | 0.2 | 15 350 | 943.94 | 78.3 |
| Nepal | 9.78 | 8.00 | – | – | 18 | 17.8 | 2710 | 44.42 | 40.3 |
| Sri Lanka | 3.72 | 3.73 | – | 0.03 | 7 | 8.4 | 12 470 | 117.87 | 56.1 |
| Timor-Leste | 1.65 | 1.85 | – | – | 3 | 1.8 | 6330 | 71.66 | 90.4 |
DPR, Democratic People's Republic; USAID, United States Agency for International Development.
Actual tuberculosis budget available in 2018 and expenditure (as reported by member states)
| Countries | Total allocated at start of 2018* | Available budget for 2018 and expenditure | Available % against allocated | Reported expenditure | % expenditure of available budget | ||||
| Domestic | Global Fund | USAID | Other sources | Total available | |||||
| Bangladesh | 66.4 | 13.3 | 29.16 | 13.5 | 0 | 55.98 | 84% | 50.7 | 91% |
| DPR Korea | 83.8 | 5.7 | 3.71 | 0.00 | 1.1 | 10.5 | 13% | 10.5 | 100% |
| India | 579.5 | 324.7 | 85.36 | 17.3 | 55.8 | 483.2 | 83% | 483.2 | 100% |
| Indonesia | 294.5 | 70.2 | 39.93 | 9.9 | 3.9 | 123.9 | 42% | 96.00 | 77% |
| Myanmar | 57.7 | 1.8 | 23.28 | 8.00 | 5.8 | 38.9 | 67% | 38.8 | 100% |
| Thailand | 25.9 | 21.0 | 3.44 | 0.00 | 1.6 | 26.1 | 101% | 25.3 | 97% |
| Bhutan | 1.0 | 0.1 | 0.44 | – | 0.00 | 0.5 | 48% | 0.4 | 80% |
| Maldives | 0.2 | 0.2 | 0.00 | – | 0.00 | 0.2 | 118% | 0.2 | 100% |
| Nepal | 17.8 | 9.8 | 8.00 | – | 0.05 | 17.8 | 100% | 12.6 | 71% |
| Sri Lanka | 8.4 | 3.6 | 2.74 | – | 0.01 | 6.3 | 75% | 5.4 | 86% |
| Timor-Leste | 1.8 | 0.00 | 2.96 | – | 0.00 | 2.96 | 167% | 2.3 | 77% |
DPR, Democratic People's Republic; USAID, United States Agency for International Development.
Countrywise breakup for tuberculosis (TB) budget in 2018
| Country | Estimated needs as per NSP | Estimated needs for ending TB |
| Bangladesh | 66.44 | 102 |
| Bhutan | 1.12 | 1.2 |
| DPR Korea | 83.83 | 31.1 |
| India | 579.51 | 1111 |
| Indonesia | 294.49 | 402 |
| Maldives | 0.19 | 1 |
| Myanmar | 57.7 | 80 |
| Nepal | 17.78 | 26 |
| Sri Lanka | 8.4 | 32 |
| Thailand | 25.86 | 117 |
| Timor-Lest | 4.91 | |
| 1139 | 1937 |
DPR, Democratic People's Republic; NSP, National Strategic Plan; SEAR, Southeast Asia Region.
Figure 1Resource gap for ending tuberculosis (TB) in Southeast Asia Region. DPR, Democratic People's Republic.