Haji Vahabzadeh, A. (2018). Optimal Allocation of Intensive Care Unit nurses to Patient-At-Risk-Team. Doctoral thesis, University of Auckland, Auckland. Retrieved April 20, 2024, from http://hdl.handle.net/2292/47425 Abstract: Explains the need for nurse-led Patient-at-Risk-Teams(PART) to prevent unnecessary ICU admissions. Investigates which nurse allocation policy between PART and ICU would result in the best outcomes for patients and hospitals. Provides econometric models to estimate the impact of critical care nurses on hospital length of stay. Proposes queueing and simulation models to obtain the optimal nurse allocation policy for minimising the ICU mortality rate. Validates proposed models at Middlemore Hospital from 2015 to 2016. Estimates the financial and mortality impact of allocating another nurse to PART per shift. Keywords: Intensive Care Units; Intensive care nursing; Patients; Mortality; Health economics Permanent link \| Save citation: RTF PDF LaTeX \| Export record: BibTeX Endnote ISI RIS Atom XML MODS XML ODF XML Word XML
Joyce, S. (2013). Running some tests: essays on doctors, nurses and hospital health care. Ph.D. thesis, University of Auckland, . Retrieved April 20, 2024, from http://hdl.handle.net/2292/20574 Abstract: Comprises three essays on the economics of health-care delivery in hospitals: considers the relationship between gender and/or ethnic concordance between a doctor and patient, and the number of diagnostic tests ordered during a hospital stay; estimates the impact of doctor-patient demographic concordance (where doctor and patient share the same ethnic group and/or gender) on a doctor's decision-making for diagnostic resources and medical treatments; calculates the relationship between ward-level nursing hours and a patient's health outcome, e.g. mortality and length of ward stay. Uses a detailed nursing-staff dataset, a novel instrumental variable for nursing hours (the amount of sick and bereavement leave taken by nurses on a ward) and the separate effect of nursing and patient hours in a ward, on a patient's health outcome. Keywords: Demographics; Decision-making; Nursing hours; Patient outcomes; Caesarean sections; Health economics Permanent link \| Save citation: RTF PDF LaTeX \| Export record: BibTeX Endnote ISI RIS Atom XML MODS XML ODF XML Word XML

Abstract: Explains the need for nurse-led Patient-at-Risk-Teams(PART) to prevent unnecessary ICU admissions. Investigates which nurse allocation policy between PART and ICU would result in the best outcomes for patients and hospitals. Provides econometric models to estimate the impact of critical care nurses on hospital length of stay. Proposes queueing and simulation models to obtain the optimal nurse allocation policy for minimising the ICU mortality rate. Validates proposed models at Middlemore Hospital from 2015 to 2016. Estimates the financial and mortality impact of allocating another nurse to PART per shift.

Abstract: Comprises three essays on the economics of health-care delivery in hospitals: considers the relationship between gender and/or ethnic concordance between a doctor and patient, and the number of diagnostic tests ordered during a hospital stay; estimates the impact of doctor-patient demographic concordance (where doctor and patient share the same ethnic group and/or gender) on a doctor's decision-making for diagnostic resources and medical treatments; calculates the relationship between ward-level nursing hours and a patient's health outcome, e.g. mortality and length of ward stay. Uses a detailed nursing-staff dataset, a novel instrumental variable for nursing hours (the amount of sick and bereavement leave taken by nurses on a ward) and the separate effect of nursing and patient hours in a ward, on a patient's health outcome.

Keywords: Demographics; Decision-making; Nursing hours; Patient outcomes; Caesarean sections; Health economics

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