The changing healthcare landscape in the United States as a result of the passage of the Patient Protection and Affordable Care Act of 2010 and the Health Care and Education Reconciliation Act of 2010

Pande, Vivek

doi:10.1108/ijphm-07-2014-0038

Cited by 2 publications

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“…Since past decades, the health-care facilities are being strengthened through the various health-care laws and regulations such as Patient Protection and Affordable Care Act of 2010 and the Health Care and Education Reconciliation Act of 2010 (Mukherjee, 2013 andPande, 2014). The laws and regulations can provide the framework through the statutes, regulations and case law to healthcare service providers (private as well as government) for addressing the glitches in inefficient operation, enhancing the responsibilities of all stakeholders and improving the patient satisfaction (Ramanathan, 2014).…”

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confidence: 99%

Measuring the impact of critical factors on government supported healthcare supply chain: an approach towards efficient governance

Dixit

Routroy

Dubey

2022

IJLMA

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Purpose A literature review revealed that government of various developing economies have put an effort on health-care supply chain through the executing critical factors (CFs) directly. Although they have attained some significant benefits in this tactic, but it was not up to satisfactory level. One of the reasons can be attributed to the fact that government/policy makers are not quantifying the impact of CFs on health-care supply chain. This paper aims to propose a methodology to quantify and estimate the impact of CFs on government-supported health-care supply chain (GHSC). Design/methodology/approach The Graph Theoretic Approach is proposed for estimating the impact and utility of CFs on an Indian GHSC. This study is also extended to scenario analysis for comparing results with different performance situation. Findings The results obtained from this study show that performance of Indian GHSC is satisfactory, but performance gaps exist which need to be reduced. In this research work, 12 CFs are identified under two significant categories (SCs), i.e. enablers and barriers and the intensity of enablers and barriers have been calculated to show the impact or influence of CFs on GHSC. The value of intensity shows that the role or impact of enabler category (i.e. performance measurement, employee recognition and reward, technology adoption, training cell, inbuilt analytical tool for IT system) is higher on Indian GHSC in comparison to barriers category to enhance the performance of GHSC. Research limitations/implications The obtained numerical results are completely in specific to the Indian perspective only; hence, they cannot be generalized for other countries. Simultaneously, this study is related to government supported health-care system; hence, the selection of expert panel was crucial due to the unavailability of doctors and other stakeholders of government system. Practical implications The proposed approach is aimed at providing a procedure for evaluating the impact of CFs on HSC in general and GHSC in specific. This study is an attempt to assist government and top management of GHSC to assess the impact of CFs on GHSC and accordingly define its course of actions. Originality/value Although various issues related to the CFs have been broadly identified and analyzed, no dedicated study has been reported in the field for quantification of impacts of CFs. Furthermore, this proposed model has an ability to recognize the specific contribution of each CF and overall contribution.

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Section: Introductionmentioning

confidence: 99%

Measuring the impact of critical factors on government supported healthcare supply chain: an approach towards efficient governance

Dixit

Routroy

Dubey

2022

IJLMA

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Day-of-the-Week Effect in Us Biotechnology Stocks — Do Policy Changes and Economic Cycles Matter?

Chatterjee

Hubble

2016

Ann. Finan. Econ.

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This study examines the presence of the day-of-the-week effect on daily returns of biotechnology stocks over a 16-year period from January 2002 to December 2015. Using daily returns from the NASDAQ Biotechnology Index (NBI), we find that the stock returns were the lowest on Mondays, and compared to the Mondays the stock returns were significantly higher on Wednesdays, Thursdays, and Fridays. The day-of-the-week effect on returns of biotechnology stocks remained significant even after controlling for the Fama–French and Carhart factors. Moreover, the results from using the asymmetric generalized autoregressive conditional heteroskedastic (GARCH) processes reveal that momentum and small-firm effect were positively associated with the market risk-adjusted returns of the biotechnology stocks during this period. The findings of our study suggest that active portfolio managers need to consider the day of the week, momentum, and small-firm effect when making trading decisions for biotechnology stocks. Implications for portfolio managers, small investors, scholars, and policymakers are included.

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The changing healthcare landscape in the United States as a result of the passage of the Patient Protection and Affordable Care Act of 2010 and the Health Care and Education Reconciliation Act of 2010

Cited by 2 publications

References 0 publications

Measuring the impact of critical factors on government supported healthcare supply chain: an approach towards efficient governance

Measuring the impact of critical factors on government supported healthcare supply chain: an approach towards efficient governance

Day-of-the-Week Effect in Us Biotechnology Stocks — Do Policy Changes and Economic Cycles Matter?

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