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Parity between prescription and visitation rates in healthcare

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Abstract

In the refinement of healthcare practices, interrelated visitation and excessive medications rates are vital. This article extracts pertinent data evidence in a novel manner using a new bivariate probability model and probes their balancing nature. For this purpose, we introduce a parameter, \(0 < \xi < 1\) and investigate its role. All expressions in our new methodology are explained with big healthcare data. Some comments are made for future work to refine more healthcare practices.

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References

  1. Cameron, A. C. P., Trivedi, F. M., & Piggot, I. (1988). A micro econometric model of the demand of health care and health insurance in Australia. Review of Economic Studies, 55, 85–106.

    Article  Google Scholar 

  2. Ding, D., Pan, Q., Shan, L., Liu, C., Gao, L., Hao, Y., et al. (2016). Prescribing patterns in outpatient clinics of township hospitals in China: A comparative study before and after the 2009 Health System Reform. International Journal of Environmental Research and Public Health, 13, 679.

    Article  Google Scholar 

  3. He, A. J. (2014). The physician patient relationship, defensive medicine and excessive medication in Chinese public hospitals: Evidence from a cross-sectional survey in Shenzhen city. Social Science and Medicine, 123, 64–71.

    Article  Google Scholar 

  4. Li, Y., Xu, J., Wang, F., Wang, B., Liu, L., Hou, W., et al. (2012). Over prescribing in China, driven by financial incentives, results in very high use of antibiotics, injections, and corticosteroids. Health Affairs, 31(5), 1075–1082.

    Article  Google Scholar 

  5. Parveen, Z., Gupta, S., Kumar, D., & Hussain, S. (2016). Drug utilization pattern using WHO prescribing, patient care and health facility indicators in a primary and secondary health care facility. National Journal of Physiology, Pharmacy and Pharmacology., 6, 182–186.

    Article  Google Scholar 

  6. Sacarny, A., Yokum, D., Finkelstein, A., & Agrawal, S. (2016). Medicare letters to curb over prescribing of controlled substances had no detectable effect on providers. Health Affairs, 35(3), 471–479.

    Article  Google Scholar 

  7. Shanmugam, R., & Chattamvelli, R. (2015). Statistics for scientists and engineers. Hoboken: Wiley. ISBN 978-1-118-228968.

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Acknowledgements

The author appreciates the editor and referees for their help to revise the manuscript. The author thanks Texas State University for a travel support to present this research work in the 5th EAI Conference on March 8–9, 2018, Chennai.

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  1. School of Health Administration, Texas State University, San Marcos, TX, 78666, USA

    Ramalingam Shanmugam

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  1. Ramalingam Shanmugam
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Correspondence to Ramalingam Shanmugam.

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Shanmugam, R. Parity between prescription and visitation rates in healthcare. Wireless Netw 27, 5511–5518 (2021). https://doi.org/10.1007/s11276-019-02204-2

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  • DOI: https://doi.org/10.1007/s11276-019-02204-2

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