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Estimating a Hospital Production Function to Evaluate the Effect of Nurse Staffing on Patient Mortality in Taiwan: The Longitudinal Count Data Approach

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  • Yia-Wun Liang

    (Department of Senior Citizen Service Management, National Taichung University of Science and Technology, Taichung, Taiwan.)

  • Wen-Yi Chen

    (Department of Senior Citizen Service Management, National Taichung University of Science and Technology, Taichung, Taiwan.)

  • Yu-Hui Lin

    (Department of Business Administration, Nan Kai University of Technology, Nan-Tou, Taiwan.)

Abstract

This study employed the Random Effect Zero-Inflated Poisson model incorporating a first- order autoregressive structure to estimate the hospital production function. We specifically investigated the effect of nurse staffing on patient mortality in acute-care hospitals under Taiwan universal health insurance system. Our results showed that the probability of being mortality free in the high patient-to-nurse ratio group is 0.019 lower than that in its counterparts and those patients who were in the high patient-to-nurse ratio nursing unit generates 3.419 more deaths than its counterparts. These findings suggested that nurse staffing below target levels in acute-care hospitals is associated with increased mortality. The policymakers should consider healthcare policy that matches staffing with patients’ need for nursing care through setting a shift-based, m

Suggested Citation

  • Yia-Wun Liang & Wen-Yi Chen & Yu-Hui Lin, 2015. "Estimating a Hospital Production Function to Evaluate the Effect of Nurse Staffing on Patient Mortality in Taiwan: The Longitudinal Count Data Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 154-169, December.
    • Handle: RePEc:rjr:romjef:v::y:2015:i:4:p:154-169
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    References listed on IDEAS

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    More about this item

    Keywords

    health production; hospital production; nurse staffing; patient mortality; Random Effect Zero-Inflated Poisson;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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