Economic Evaluation and Decision Making for Quality Improvement in Complex Community Health Systems
General Material Designation
[Thesis]
First Statement of Responsibility
Kumar, Meghan Bruce
Subsequent Statement of Responsibility
Taegtmeyer, Miriam
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The University of Liverpool (United Kingdom)
Date of Publication, Distribution, etc.
2020
GENERAL NOTES
Text of Note
310 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
The University of Liverpool (United Kingdom)
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
Community health is a fundamental part of many healthcare systems and is widely advocated as a means to increase access to and coverage of health services, yet the quality of care in large-scale community health programmes is mixed. Quality improvement (QI) approaches are now being tested in community settings and there is limited evidence that integrating QI approaches can underpin success of community programmes. However, how best to measure that success and the cost and value thereof to the different decision makers in complex community health systems is not yet known. This thesis provides the first economic evaluation of QI in community health systems, linking this to an exploration of decision making that includes an assessment of how economic evidence like this is used. Using an interdisciplinary mixed methods approach, I worked across several countries (Ethiopia, Kenya, Indonesia, Malawi, and Mozambique) to provide evidence to inform policy decisions. I first examined the costs of a QI intervention in all five countries and then used those data as the foundation of a cost-effectiveness decision tree model for the intervention in Kenya. Through interviews with national and global decision makers, I qualitatively examined the use and value of evidence in community health programmes. I present the results in a series of three related publications, linking them together with a literature review and discussion that show how these studies build upon each other and what they add to the existing evidence base. This thesis shows that QI for community health is a good investment contingent on an existing cadre of community health workers. The budget impact of the QI intervention is low (less than 0.53% of general government health expenditure) and the modelled cost-effectiveness yields an incremental cost-effectiveness ratio of US