| Literature DB >> 29374822 |
Debashish Kundu1, Nandini Sharma2, Sarabjit Chadha3, Samia Laokri4, George Awungafac5, Lai Jiang6, Miqdad Asaria7.
Abstract
INTRODUCTION: There are significant financial barriers to access treatment for multi drug resistant tuberculosis (MDR-TB) in India. To address these challenges, Chhattisgarh state in India has established a MDR-TB financial protection policy by creating MDR-TB benefit packages as part of the universal health insurance scheme that the state has rolled out in their effort towards attaining Universal Health Coverage for all its residents. In these schemes the state purchases health insurance against set packages of services from third party health insurance agencies on behalf of all its residents. Provider payment reform by strategic purchasing through output based payments (lump sum fee is reimbursed as per the MDR-TB benefit package rates) to the providers - both public and private health facilities empanelled under the insurance scheme was the key intervention. AIM: To understand the implementation gap between policy and practice of the benefit packages with respect to equity in utilization of package claims by the poor patients in public and private sector.Entities:
Keywords: Financial protection policy; Health insurance; Implementation; India; Inequity; Kingdon’s multiple streams; Multi-drug resistant tuberculosis; Poor; RSBY; Universal health coverage
Year: 2018 PMID: 29374822 PMCID: PMC5787110 DOI: 10.1186/s13561-018-0187-5
Source DB: PubMed Journal: Health Econ Rev ISSN: 2191-1991
Fig. 1Universal Health Insurance Scheme (UHIS) as managed by RSBY and MSBY (Developed from Cotlear et al., 2015)
Details of the innovative Rashtriya Swasthya Bima Yojna (RSBY) and Mukhyamantri Swasthya Bima Yojna (MSBY) MDR-TB benefit packages
| MDR-TB benefit package name | Package details | Package Rate | Number of times/days claims can be processed (Package Cap) |
|---|---|---|---|
| Pre-treatment evaluations after diagnosis of MDR-TB | Chest X-ray, relevant haematological and biochemical tests: complete blood count (CBC), liver function tests (LFT), thyroid function tests (TFT), blood urea nitrogen (BUN), creatinine, urine (routine & microscopic), urinary pregnancy tests (UPT) | ₹4000 (US$ 67a) | Once |
| Follow-up evaluation | Chest X-ray, relevant haematological and biochemical tests: CBC, LFT, BUN, creatinine, urine (routine & microscopic) | ₹3300 (US$ 55) | Maximum five times for creatinine and all other tests for maximum of twice |
| Hospital stay | Bed charges, doctors’ consultation fees and any other additional/ancillary drugs | ₹5600 (US$ 93 @ US$ 13/day) | Maximum 7 days’ stay on pro-rota basis |
MDR-TB multidrug-resistant tuberculosis
Fig. 2RSBY and MSBY, a business model, an organization as a nexus of contracts/ institutions (Developed from Kutzin J. Health financing for universal coverage and health system performance: concepts and implications for policy, Bulletin of World Health Organization, 2013;91(8): 602–11; and concept of organization as a nexus of contracts by Bruno Messen, Institute of Tropical Medicine, Antwerp. 2016)
Key characteristics of the beneficiaries of all MDR-TB Packages (2013–2015)
| Key Characteristics | RSBY | MSBY | Total |
|---|---|---|---|
| 1. Age | |||
| < 15 | 46 (5.1) | 14 (5.7) | 60 (5.2) |
| 15–34 | 239 (26.2) | 80 (32.3) | 319 (27.5) |
| 35–54 | 373 (49.9) | 91 (36.7) | 464 (40.0) |
| 55+ | 253 (27.8) | 63 (25.4) | 316 (27.3) |
| 2. Sex | |||
| Male | 624 (68.5) | 154 (62.1) | 778 (67.1) |
| Female | 287 (31.5) | 94 (37.9) | 381 (32.9) |
| 3. Socio-economic status | |||
| Poor (1 + 2): | 826 (90.7) | 64 (25.8) | 890 (76.8) |
| Non Poor (APL) | 85 (9.3) | 184 (74.2) | 269 (23.2) |
| 4. No. of claims utilized in public and private health facilities by the beneficiaries | |||
| Public | 822 (90.2) | 222 (89.5) | 1044 (90.1) |
| Private | 89 (9.8) | 26 (10.5) | 115 (9.9) |
Claim utilization status by poor and non-poor beneficiaries in public and private sector as per the MDR-TB package types (2013–15)
| Type of MDR-TB Package | Claim Utilization | ||
|---|---|---|---|
| Poor – N (%) | Non-Poor – N (%) | Total, n = 1159 (%) | |
| a) MDR-TB Pre-treatment evaluation package utilization in | |||
| Public | 433 (87.6) | 110 (82.7) | 543 |
| Private | 61 (12.4) | 23 (17.3) | 84 |
| Total | 494 (100) | 133 (100) | 627 (54) |
| b) MDR-TB hospital stay package utilization in: | |||
| Public | 185 (88.9) | 62 (88.6) | 247 |
| Private | 23 (11.1) | 8 (11.4) | 31 |
| Total | 208 (100) | 70 (100) | 278 (24) |
| c) MDR-TB follow-up evaluation utilization in: | |||
| Public | 188 (100) | 66 (100) | 254 |
| Private | 0 | 0 | 0 |
| Total | 188 (100) | 66 (100) | 254 (22) |
Fig. 3Pooled (RSBY and MSBY) MDR-TB hospital stay package utilization in the public and private sector from 2013 to 2015
Fig. 4Pooled (RSBY and MSBY) MDR-TB follow-up package utilization in the public and private sector from 2013 to 2015
Fig. 5Disaggregated pooled (RSBY and MSBY) data on claims utilization of MDR-TB pre-treatment evaluation package by poor in the public sector from 2013 to 2015
Fig. 6Disaggregated pooled (RSBY and MSBY) data on claims utilization of MDR-TB pre-treatment evaluation package by non-poor in the private sector from 2013 to 2015
Factors associated with the use of RSBY MDR-TB Pre-Treatment Evaluation Package by MDR-TB beneficiaries
| Variable | Bivariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| Odds Ratio, OR (95% CI) | Odds Ratio, OR (95% CI) | p-value | ||
| Age in years | ||||
| 0–14 | Ref | |||
| 15–34 | 0.88(0.36–2.19) | 0.786 | 0.62 (0.20–1.98) | 0.423 |
| 35–54 | 1.55 (0.62–3.83) | 0.344 | 1.06 (0.33–3.40) | 0.921 |
| ≥ 55 | 1.18 (0.47–2.98) | 0.719 | 0.61 (0.18–2.01) | 0.418 |
| Sex | ||||
| Male | 0.95 (0.63–1.43) | 0.815 | 0.97 (0.55–1.71) | 0.910 |
| Female | Ref | |||
| Socio-Economic Status (SES) | ||||
| Poor | 0.04 (0.02–0.07) | < 0.0001 | 0.03 (0.01–0.05) | < 0.0001 |
| Non-Poor | Ref | |||
| District Sub-types | ||||
| Most Backward & Left Wing Extremist Districts(MBLWE) | 0.61 (0.26–1.41) | 0.247 | 1.38 (0.63–3.01) | 0.426 |
| Backward & Left Wing Extremist (BLWE) | 0.94 (0.48–1.85) | 0.868 | Ref | |
| Backward Districts (BWARD) | 0.85 (0.41–1.77) | 0.66 | 1.36 (0.69–2.67) | 0.372 |
| Non Backward Districts (NBWARD) | Ref | 0.74 (0.18–3.03) | ||
| Hospital Types | ||||
| Private | 1.15 (0.63–2.10) | 0.635 | 1.77 (0.59–6.12) | 0.364 |
| Public | Ref | |||
| Year | ||||
| 2015 | 3.09 (1.79–5.34) | < 0.0001 | 5.64 (2.57–12.39) | < 0.00001 |
| 2014 | 2.07 (1.14–3.75) | 0.016 | 1.76 (0.79–3.91) | 0.169 |
| 2013 | Ref | |||