ORCID Profile
0000-0003-3803-8517
Current Organisation
University Of Strathclyde
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Informa UK Limited
Date: 12-12-2017
Publisher: Elsevier BV
Date: 09-2018
DOI: 10.1016/J.JVAL.2018.05.003
Abstract: Constrained optimization methods are already widely used in health care to solve problems that represent traditional applications of operations research methods, such as choosing the optimal location for new facilities or making the most efficient use of operating room capacity. In this paper we illustrate the potential utility of these methods for finding optimal solutions to problems in health care delivery and policy. To do so, we selected three award-winning papers in health care delivery or policy development, reflecting a range of optimization algorithms. Two of the three papers are reviewed using the ISPOR Constrained Optimization Good Practice Checklist, adapted from the framework presented in the initial Optimization Task Force Report. The first case study illustrates application of linear programming to determine the optimal mix of screening and vaccination strategies for the prevention of cervical cancer. The second case illustrates application of the Markov Decision Process to find the optimal strategy for treating type 2 diabetes patients for hypercholesterolemia using statins. The third paper (described in Appendix 1) is used as an educational tool. The goal is to describe the characteristics of a radiation therapy optimization problem and then invite the reader to formulate the mathematical model for solving it. This ex le is particularly interesting because it lends itself to a range of possible models, including linear, nonlinear, and mixed-integer programming formulations. From the case studies presented, we hope the reader will develop an appreciation for the wide range of problem types that can be addressed with constrained optimization methods, as well as the variety of methods available. Constrained optimization methods are informative in providing insights to decision makers about optimal target solutions and the magnitude of the loss of benefit or increased costs associated with the ultimate clinical decision or policy choice. Failing to identify a mathematically superior or optimal solution represents a missed opportunity to improve economic efficiency in the delivery of care and clinical outcomes for patients. The ISPOR Optimization Methods Emerging Good Practices Task Force's first report provided an introduction to constrained optimization methods to solve important clinical and health policy problems. This report also outlined the relationship of constrained optimization methods relative to traditional health economic modeling, graphically illustrated a simple formulation, and identified some of the major variants of constrained optimization models, such as linear programming, dynamic programming, integer programming, and stochastic programming. The second report illustrates the application of constrained optimization methods in health care decision making using three case studies. The studies focus on determining optimal screening and vaccination strategies for cervical cancer, optimal statin start times for diabetes, and an educational case to invite the reader to formulate radiation therapy optimization problems. These illustrate a wide range of problem types that can be addressed with constrained optimization methods.
Publisher: Elsevier BV
Date: 03-2017
DOI: 10.1016/J.JVAL.2017.01.013
Abstract: Providing health services with the greatest possible value to patients and society given the constraints imposed by patient characteristics, health care system characteristics, budgets, and so forth relies heavily on the design of structures and processes. Such problems are complex and require a rigorous and systematic approach to identify the best solution. Constrained optimization is a set of methods designed to identify efficiently and systematically the best solution (the optimal solution) to a problem characterized by a number of potential solutions in the presence of identified constraints. This report identifies 1) key concepts and the main steps in building an optimization model 2) the types of problems for which optimal solutions can be determined in real-world health applications and 3) the appropriate optimization methods for these problems. We first present a simple graphical model based on the treatment of "regular" and "severe" patients, which maximizes the overall health benefit subject to time and budget constraints. We then relate it back to how optimization is relevant in health services research for addressing present day challenges. We also explain how these mathematical optimization methods relate to simulation methods, to standard health economic analysis techniques, and to the emergent fields of analytics and machine learning.
Publisher: Informa UK Limited
Date: 06-2003
Publisher: Wiley
Date: 08-2018
DOI: 10.1002/PDS.4629
Publisher: Springer Science and Business Media LLC
Date: 05-01-2018
Publisher: MDPI AG
Date: 26-12-2018
DOI: 10.3390/TROPICALMED4010005
Abstract: Introduction: Diarrheal diseases are a global public health problem and one of the leading causes of mortality, morbidity and economic loss. The objective of the study is to estimate the economic cost of caregivers and cost distribution per diarrheal episodes in Bangladesh. Methods: This was a cross-sectional hospital-based study conducted in public hospitals in Bangladesh. A total of 801 diarrheal patients were randomly selected and interviewed during January to December 2015. Simple descriptive statistics including frequencies, percentage, mean with 95% CI and median are presented. Results: The overall average cost of caregivers was BDT 2243 (US$ 28.58) while only BDT 259 (US$ 3.29) was spent as out of pocket payments. Caregivers mostly spent money (US$ 1.63) for food, lodging, utility bills, and other lump sum costs followed by the transportation costs (US$ 1.57). The caregivers spent more (US$ 44.45) when they accompanied the patients who were admitted in inpatients care and almost 3.6 times higher than for out-patients care (US$ 12.42). Conclusions: The study delivers an empirical evidence to the health-care programmers and policy makers about the economic cost of caregivers during diarrheal treatment care, which should be accounted for in designing future diarrheal prevention programme.
Publisher: Public Library of Science (PLoS)
Date: 30-04-2020
Publisher: Wiley
Date: 09-08-2018
DOI: 10.1002/HPM.2615
Abstract: The objective of this study is to capture the relevant out-of-pocket (OOP) costs, coping mechanisms, and associated factors that are related to child delivery in Bangladesh through the use of nationwide household level data. The study was conducted using a secondary data source of the latest Bangladesh Demographic and Health Survey 2014. A cross-sectional survey was performed for 6 months, from June to November 2014, where closed-ended questions regarding child delivery-related expenditure were included. Log linear regression and descriptive analysis methods were used to analyze these data. Analysis indicated that the average self-reported OOP payment per child delivery was US$ 79.23 (SD ±128.05). The highest OOP was observed for C-section (US$ 249.89, SD ±153.54), followed by institutional normal delivery (US$ 61.62, SD ±75.28). The average cost per normal home delivery was US$ 15.89 (SD ±25.84). The richest quintile spent significantly more than the poorest quintile regarding C-section (US$ 281 vs US$ 204), normal delivery at an institution (US$ 80 vs US$ 65), and even normal delivery at home (US$ 22 vs US$ 13). The study showed that there was a huge variation of OOP, which was dependent on the facility and socioeconomic demographic status of the households. As such, policy efforts need to focus on lowest wealth quintiles to avoid economic burdens during child delivery-related activities, and therefore, financial risk protection should be provided. Social health insurance might be an option for financing during child delivery, which is in line with the core objective of the Healthcare Financing Strategy of Bangladesh, which is to achieve universal health coverage.
Publisher: Wiley
Date: 08-11-2019
DOI: 10.1002/HPM.2918
Abstract: Undernutrition is one of the major public health concerns in Bangladesh. This study examined the trends and patterns of childhood undernutrition, inequality, and its socioeconomic contributors in Bangladesh. Data were extracted from the last four rounds of the Bangladesh Demographic Health Survey (BDHS). A regression-based decomposition method was applied to assess the socioeconomic contributors of inequality. Although the prevalence of childhood undernutrition has declined during the period 2004 to 2014, the rate of undernutrition is higher among the children of mothers who had lower education, live in rural areas, and are from the poorest wealth quintile. Socioeconomic status accounted for almost half of the total inequality in the prevalence of both stunting and underweight among children, whereas maternal education was ranked second among the contributors. Findings of the study indicate that undernutrition inequalities in terms of socioeconomic aspects appear to have widened over time. Improving economic activity and maternal education will improve the nutritional status of children and as a consequence reduce inequality. Therefore, investments in education, creation of working opportunities, and empowerment of vulnerable and disadvantaged people along with nutrition-specific interventions will be important measures to eliminate this inequality at the population level.
Publisher: MDPI AG
Date: 02-08-2018
Abstract: Background: Community-based health insurance is recognized as a promising tool for health system improvement for low-income people that improves the health status of enrolees and enhances productivity and labor supply. The experience and opinion of the clients who utilized health services through the insurance scheme are important for improving healthcare services, shaping health policies and providing feedback on the quality, availability, and responsiveness of healthcare services. However, studies focusing on clients’ satisfaction provided by the health insurance scheme are still limited globally. Objective: To address this knowledge gap, this current study attempted to measure the degree of clients’ satisfaction towards healthcare services and insurance scheme, based on their experience of health care which will serve the future reference point to implement potential quality improvement initiatives of community-based health insurance program. Methods: A cross-sectional household survey was conducted within the catchment area of a community-based health insurance pilot program named Labor Association for Social Protection (LASP) during April–June 2014 to compare the evaluation of healthcare services provided by LASP scheme. In the descriptive analyses, the characteristics of the study participants were presented regarding frequency and the percentages with 95% confidence interval. Spearman correlation analysis was conducted between the satisfaction score of each indicator and overall satisfaction score multivariate linear regression analysis was used to identify the factors associated with overall health scheme satisfaction. Results: The overall satisfaction mean score was 4.17 ± 0.04 (95% CI: 4.08–4.26) out of 5.00. The most satisfied domains were related to the diagnostic services (4.46 ± 0.98), explanation about the prescribed medicine (4.23 ± 0.81), the surrounding environment of healthcare facility (4.21 ± 0.70) and the behavior of health personnel toward clients (4.18 ± 0.73). Conclusions: Our study observed that the overall satisfaction level towards health services is quite favorable, but satisfaction scores can still be improved. These findings could contribute towards developing and designing the healthcare services packages of community-based health scheme which is in line with the health care financing strategy of Bangladesh as well as the recommendation of the World Health Organization for developing social health insurance as part of path to Universal Health Coverage.
Publisher: Elsevier BV
Date: 11-2020
Publisher: SAGE Publications
Date: 2016
Abstract: In Bangladesh, the burden of diarrheal diseases is significant among children years old. The objective of this study is to capture the prevalence of and health care–seeking behavior for childhood diarrheal diseases (CDDs) and to identify the factors associated with CDDs at a population level in Bangladesh. We use a logistic regression approach to model careseeking based on in idual characteristics. The overall diarrhea prevalence among children years old was found to be 5.71%. Some factors found to significantly influence the health care–seeking pattern were age and sex of the children, nutritional score, age and education of mothers, wealth index, and access to electronic media. The health care service could be improved through working in partnership with public facilities, private health care practitioners, and community-based organizations, so that all strata of the population get equitable access in cases of childhood diarrhoea.
Publisher: Public Library of Science (PLoS)
Date: 27-07-2017
Publisher: Korean Society for Preventive Medicine
Date: 31-03-2017
DOI: 10.3961/JPMPH.16.089
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Alec Morton.