References
- McMaughan DJ, Oloruntoba O, Smith ML. Socioeconomic status and access to healthcare: interrelated drivers for healthy aging. Front Public Health. 2020;8:1–9. https://doi.org/10.3389/fpubh.2020.00231.
- Kansra AAKDP. Lifestyle disease burden (An economic perspective). Bhopal, India: Nitya Publications; 2020.
- Bloom DE, Kuhn M, Prettner K. Modern infectious diseases: macroeconomic impacts and policy responses. J Econ Lit. 2022;60(1):85–131.
- Kastor A, Mohanty SK. Disease and age pattern of hospitalisation and associated costs in India: 1995–2014. BMJ Open. 2018;8(1):1–12. doi:10.1136/bmjopen-2017-016990.
- Dash A, Mohanty SK. Do poor people in the poorer states pay more for healthcare in India? BMC Public Health. 2019;19(1):1–17.
- Stadhouders N, Kruse F, Tanke M, et al. Effective healthcare cost-containment policies: a systematic review. Health Policy. 2019;123(1):71–79.
- Khorasani ST, Cross J, Maghazei O. Lean supply chain management in healthcare: a systematic review and meta-study. Int J Lean Six Sigma. 2019;11(1):1–34.
- Black JT. Design rules for implementing the Toyota production system. Int J Prod Res. 2007;45(16):3639–3664.
- Lee JY, McFadden KL, Gowen III, et al. An exploratory analysis for lean and Six sigma implementation in hospitals: together is better? Health Care Manage Rev. 2018;43(3):182–192.
- Durakovic B, Demir R, Abat K, et al. Lean manufacturing: trends and implementation issues. Periodicals of Engineering and Natural Sciences (PEN). 2018;6(1):130–143.
- Hallam CR, Contreras C. Lean healthcare: scale, scope, and sustainability. Int J Health Care Qual Assur. 2018;31(7):684–696.
- Kamalahmadi M, Yu Q, Zhou YP. Call to duty: just-in-time scheduling in a restaurant chain. Manage Sci. 2021;67(11):6751–6781.
- Simchi-Levi D, Simchi-Levi E. We need a stress test for critical supply chains. Harv Bus Rev. Accessed April 28, 2022. https://hbr.org/2020/04/we-need-a-stress-test-for-criticalsupply-chains
- Sharma SD. Health care for India’s 500 million. Harvard Public Health Rev. 2018;18:1–14.
- Davalbhakta S, Sharma S, Gupta S, et al. The private health sector in India-ready and willing yet underutilized in the COVID-19 pandemic: a cross-sectional study. Front Public Health. 2020;617:1–8. doi:10.3389/fpubh.2020.571419.
- David Williams O, Yung KC, and Grépin KA. The failure of private health services: COVID-19 induced crises in low- and middle-income country (LMIC) health systems. Glob Public Health. 2021;16(8-9):1320–1333.
- Kujawska J. Efficiency of healthcare systems in European countries – the DEA network approach. Metody Ilościowe w Badaniach Ekonomicznych. 2018;19:60–70.
- Ahmed S, Hasan MZ, Laokri S, et al. Technical efficiency of public district hospitals in Bangladesh: a data envelopment analysis. Cost Eff Resour Alloc. 2019;17(1):1–10.
- Mitropoulos P, Kounetas K, Mitropoulos I. Factors affecting primary health care centers’ economic and production efficiency. Ann Oper Res. 2016;247(2):807–822.
- Cheng Z, Tao H, Cai M, et al. Technical efficiency and productivity of Chinese county hospitals: an exploratory study in henan province, China. BMJ Open. 2015;5(9):1–10. http://doi.org/10.1136/bmjopen-2014-007267.
- Alatawi AD, Niessen LW, Khan JA. Determinants of technical efficiency in public hospitals: The case of Saudi arabia. Health Econ Rev. 2020;10(1):1–11.
- Kohl S, Schoenfelder J, Fügener A, et al. The use of data envelopment analysis (DEA) in healthcare with a focus on hospitals. Health Care Manag Sci. 2019;22(2):245–286.
- Stefko R, Gavurova B, Kocisova K. Healthcare efficiency assessment using DEA analysis in the Slovak republic. Health Econ Rev. 2018;8(1):1–12.
- Miszczynska K, Miszczyński PM. Measuring the efficiency of the healthcare sector in Poland – a window-DEA evaluation. International Journal of Productivity and Performance Management. 2022.
- Liu H, Wu W, Yao P. Assessing the financial efficiency of healthcare services and its influencing factors of financial development: fresh evidences from three-stage DEA model based on Chinese provincial level data. Environ Sci Pollut Res. 2022;29(15):21955–21967.
- Gavurova B, Kocisova K, Sopko J. Health system efficiency in OECD countries: dynamic network DEA approach. Health Econ Rev. 2021;11(1):1–25.
- Top M, Konca M, Sapaz B. Technical efficiency of healthcare systems in African countries: An application based on data envelopment analysis. Health Policy Technol. 2020;9(1):62–68.
- Darabi N, Ebrahimvandi A, Hosseinichimeh N, et al. A DEA evaluation of U.S. states’ healthcare systems in terms of their birth outcomes. Expert Syst Appl. 2021;182:1–16. doi:10.3389/fpubh.2022.921303.
- Yaya S, Xi C, Xiaoyang Z, et al. Evaluating the efficiency of China’s healthcare service: A weighted DEA-game theory in a competitive environment. J Clean Prod. 2020;270:122431), https://doi.org/10.1016/j.jclepro.2020.122431.
- Zheng W, Sun H, Zhang P, et al. A four-stage DEA-based efficiency evaluation of public hospitals in China after the implementation of new medical reforms. PloS One. 2018;13(10):e0203780), https://doi.org/10.1371/journal.pone.0203780.
- Chitnis A, Mishra DK. Performance efficiency of Indian private hospitals using data envelopment analysis and super-efficiency DEA. J Health Manag. 2019;21(2):279–293.
- Patel MP, Ranjith VK. Measuring efficiency and productivity change of multi-specialty private sector hospitals in India: A DEA based malmquist productivity index approach. Indian J Finance. 2018;12(5):25–42.
- Mishra V. Measuring technical efficiency in healthcare service: A case study. Pacific Business Rev Int. 2018;11(6):36–44.
- Ishizaka A, Nemery P. Multi-criteria decision analysis: methods and software. Hoboken, NJ, United States: John Wiley & Sons; 2013.
- Gandhi AV, Sharma D. Technical efficiency of private sector hospitals in India using data envelopment analysis. Benchmarking. 2018;25(9):3570–3591.