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Essays in Health Economics: Management, Organisation and Hospital Performance

Ali, Manhal Mohammad

[Thesis]. Manchester, UK: The University of Manchester; 2018.

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Abstract

This thesis consists of three empirical chapters that studies hospital performance. The thesis attempts to contribute to the existing health and organisational economics, and applied IO literature that study the role of internal factors such as management quality in explaining differences in performance across the hospitals. It examines the role of organisation, management, staff incentives and well–being along with their interactions in driving hospital performance. The first chapter examines the role of organisation and its interactions in explaining variations in quality of care for stroke services. The findings indicate presence of rich complementarities amongst the drivers and strengthen the previous research on managerial and organisational determinants of quality. The chapter uses machine learning techniques to identify the complex interactions and are complemented with traditional econometric approaches. The second chapter studies variations in quality–adjusted productivity across the NHS trusts and the role of human resource management practices in explaining those variations. Clustering techniques are used to explore the complementarity and clusters of optimal management practices that drive productivity differences and are tested using panel regression techniques. The third chapter studies the problem of hospital delayed transfers of care, and using theories from economics, examines the effectiveness of staff well–being in alleviating delays.

Bibliographic metadata

Type of resource:
Content type:
Form of thesis:
Type of submission:
Degree type:
Doctor of Philosophy
Degree programme:
PhD Business and Management
Publication date:
Location:
Manchester, UK
Total pages:
240
Abstract:
This thesis consists of three empirical chapters that studies hospital performance. The thesis attempts to contribute to the existing health and organisational economics, and applied IO literature that study the role of internal factors such as management quality in explaining differences in performance across the hospitals. It examines the role of organisation, management, staff incentives and well–being along with their interactions in driving hospital performance. The first chapter examines the role of organisation and its interactions in explaining variations in quality of care for stroke services. The findings indicate presence of rich complementarities amongst the drivers and strengthen the previous research on managerial and organisational determinants of quality. The chapter uses machine learning techniques to identify the complex interactions and are complemented with traditional econometric approaches. The second chapter studies variations in quality–adjusted productivity across the NHS trusts and the role of human resource management practices in explaining those variations. Clustering techniques are used to explore the complementarity and clusters of optimal management practices that drive productivity differences and are tested using panel regression techniques. The third chapter studies the problem of hospital delayed transfers of care, and using theories from economics, examines the effectiveness of staff well–being in alleviating delays.
Thesis main supervisor(s):
Thesis co-supervisor(s):
Language:
en

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:314274
Created by:
Ali, Manhal
Created:
20th April, 2018, 19:06:15
Last modified by:
Ali, Manhal
Last modified:
1st May, 2019, 11:32:54

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