Nursing manpower and productivity in medical service industry

Authors

  • Jui-Hsiang Wang veteran general hospital, Hsinchu branch, Hsinchu, Taiwan
  • Chun-Chu Liu Graduate School of Business and Operation Management, Chang Jung Christian University, Tainan, Taiwan

DOI:

https://doi.org/10.18533/jefs.v5i02.280

Keywords:

Assessment models, Malmquist index, Medical service industry, Nursing manpower, Total factor productivity.

Abstract

The Malmquist Index (MI) is a bilateral index that can be used to compare the production technology of two economies also as two different time status of one economy. Since, the nurse-to-bed ratio is the standard quantitative indicators of changes in technical efficiency, changes in technology, and total factor productivity in the medical service industry; we explore the link between the nurse-to-bed ratio and three MIs at the industry level using Twainese context. Our results show that the annual average nurse-to-bed ratio is inversely related to changes in efficiency in large cities. However, in medium-sized cities, annual changes in the average nurse-to-bed ratio are inversely related to the total factor productivity. We propose four assessment models to assist in the formulation of strategies aimed at improving the quality of care as well as productivity while considering the particulars of individual cities and regions

References

Association, A. N. (1997). Implementing nursing's report card: A study of RN staffing, length of stay, and patient outcomes: Amer Nurses Assn.

Association, A. N. (2000). Nurse staffing and patient outcomes in the inpatient hospital setting: Amer Nurses Assn.

Barer, M. L., Wood, L. C., & Schneider, D. G. (2014). Toward improved access to medical services for relatively underserved populations: Canadian approaches, foreign lessons.

Barros, C. P., De Menezes, A. G., Peypoch, N., Solonandrasana, B., & Vieira, J. C. (2008). An analysis of hospital efficiency and productivity growth using the Luenberger indicator. Health care management science, 11(4), 373-381.

Burke, D. E., & Menachemi, N. (2004). Opening the black box: measuring hospital information technology capability. Health Care Management Review, 29(3), 207-217.

Conrad, D. A. (2009). Lessons to apply to national comprehensive healthcare reform. American Journal of Managed Care, 15(12), S306.

Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American economic review, 66-83.

Farsi, M., & Filippini, M. (2005). An analysis of efficiency and productivity in Swiss hospitals: Università della Svizzera italiana.

Glickman, S. W., & Peterson, E. D. (2009). Innovative health reform models: pay-for-performance initiatives. American Journal of Managed Care, 15(12), S300.

Harrison, M. I., Henriksen, K., & Hughes, R. G. (2007). Improving the health care work environment: Implications for research, practice, and policy. The Joint Commission Journal on Quality and Patient Safety, 33(Supplement 1), 81-84.

Herr, A. (2008). Cost and technical efficiency of German hospitals: does ownership matter? Health Economics, 17(9), 1057-1071.

Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de Estadistica y de Investigacion Operativa, 4(2), 209-242.

Mark, B. A., Harless, D. W., McCue, M., & Xu, Y. (2004). A longitudinal examination of hospital registered nurse staffing and quality of care. Health Services Research, 39(2), 279-300.

Nadzam, D. M., & Macklis, R. M. (2001). Promoting patient safety: is technology the solution? The Joint Commission Journal on Quality and Patient Safety, 27(8), 430-436.

Nishimizu, M., & Page, J. M. (1982). Total factor productivity growth, technological progress and technical efficiency change: dimensions of productivity change in Yugoslavia, 1965-78. The Economic Journal, 92(368), 920-936.

Ozcan, Y. A. (2008). Health care benchmarking and performance evaluation. An assessment using data envelopment analysis (DEA).

Sikka, V., Luke, R. D., & Ozcan, Y. A. (2009). The efficiency of hospital-based clusters: Evaluating system performance using data envelopment analysis. Health Care Management Review, 34(3), 251-261.

Singer, S. J., Falwell, A., Gaba, D. M., Meterko, M., Rosen, A., Hartmann, C. W., & Baker, L. (2009). Identifying organizational cultures that promote patient safety. Health Care Management Review, 34(4), 300-311.

Tompkins, C. P., Higgins, A. R., & Ritter, G. A. (2009). Measuring outcomes and efficiency in Medicare value-based purchasing. Health Affairs, 28(2), w251-w261.

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Published

2017-04-10

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Articles