System Dynamics Models for Public Health and Health Care Policy
System dynamics is a simulation modeling approach to strategic and policy analysis that has been applied to many health care and public health issues since the 1960s and has become increasingly prevalent since the 2000s. The ten articles in this reprint appeared in a Special Issue of Systems and cov...
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| Format: | Online |
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| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | ONIX_20230714_9783036578415_17 |
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| collection | Directory of Open Access Books |
| description | System dynamics is a simulation modeling approach to strategic and policy analysis that has been applied to many health care and public health issues since the 1960s and has become increasingly prevalent since the 2000s. The ten articles in this reprint appeared in a Special Issue of Systems and cover a broad cross-section of relevant methodological topics as well as applications to specific health problems.One methodological article describes the use of cascaded system archetypes, with an application to reducing hospital congestion. Another discusses Monte Carlo uncertainty analysis, with an application to the US opioid crisis. Three of the articles describe models of community response to severe shocks, including recovery from the COVID-19 pandemic. Two other articles address strategies for dealing with myriad chronic diseases and risk factors in a population. Other papers include in-depth analyses of prostate cancer screening, digital prosthetic services for lower-limb amputees, and the complex behavioral health challenge of youth homelessness.This reprint provides an excellent snapshot of the current state of practice in system dynamics as it is applied to public health, health care delivery, and health policy. It offers practical policy guidance and will be of interest to both experienced practitioners and those new to the field. |
| format | Online |
| id | doab-20.500.12854ir-101318 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1013182024-03-28T03:32:23Z System Dynamics Models for Public Health and Health Care Policy Homer, Jack Hirsch, Gary B. simulation model public health practice chronic disease prevention cardiovascular diseases cancer COVID-19 tourism recovery public policy system dynamics participatory modelling health social care integrated care hospital delayed hospital discharges strategy congestion capacity archetypes unintended consequences population health and well-being equity stewardship resilience simulation modeling uncertainty analysis optimization sensitivity testing Monte Carlo randomization opioid epidemic prosthetics major lower-limb amputations prosthesis usage amputee mobility health care system health policy youth homelessness child welfare juvenile justice mental health public health decision making long-term conditions resource allocation complex systems early detection of cancer mass screening decision-making dissemination clinical practice guidelines evidence-based guidelines policy decision thresholds prostate cancer natural history of disease biomarker PSA thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science System dynamics is a simulation modeling approach to strategic and policy analysis that has been applied to many health care and public health issues since the 1960s and has become increasingly prevalent since the 2000s. The ten articles in this reprint appeared in a Special Issue of Systems and cover a broad cross-section of relevant methodological topics as well as applications to specific health problems.One methodological article describes the use of cascaded system archetypes, with an application to reducing hospital congestion. Another discusses Monte Carlo uncertainty analysis, with an application to the US opioid crisis. Three of the articles describe models of community response to severe shocks, including recovery from the COVID-19 pandemic. Two other articles address strategies for dealing with myriad chronic diseases and risk factors in a population. Other papers include in-depth analyses of prostate cancer screening, digital prosthetic services for lower-limb amputees, and the complex behavioral health challenge of youth homelessness.This reprint provides an excellent snapshot of the current state of practice in system dynamics as it is applied to public health, health care delivery, and health policy. It offers practical policy guidance and will be of interest to both experienced practitioners and those new to the field. 2023-07-14T14:23:51Z 2023-07-14T14:23:51Z 2023 book ONIX_20230714_9783036578415_17 9783036578415 9783036578408 https://directory.doabooks.org/handle/20.500.12854/101318 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7412 https://mdpi.com/books/pdfview/book/7412 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7840-8 10.3390/books978-3-0365-7840-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036578415 9783036578408 204 Basel open access |
| spellingShingle | simulation model public health practice chronic disease prevention cardiovascular diseases cancer COVID-19 tourism recovery public policy system dynamics participatory modelling health social care integrated care hospital delayed hospital discharges strategy congestion capacity archetypes unintended consequences population health and well-being equity stewardship resilience simulation modeling uncertainty analysis optimization sensitivity testing Monte Carlo randomization opioid epidemic prosthetics major lower-limb amputations prosthesis usage amputee mobility health care system health policy youth homelessness child welfare juvenile justice mental health public health decision making long-term conditions resource allocation complex systems early detection of cancer mass screening decision-making dissemination clinical practice guidelines evidence-based guidelines policy decision thresholds prostate cancer natural history of disease biomarker PSA thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science System Dynamics Models for Public Health and Health Care Policy |
| title | System Dynamics Models for Public Health and Health Care Policy |
| title_full | System Dynamics Models for Public Health and Health Care Policy |
| title_fullStr | System Dynamics Models for Public Health and Health Care Policy |
| title_full_unstemmed | System Dynamics Models for Public Health and Health Care Policy |
| title_short | System Dynamics Models for Public Health and Health Care Policy |
| title_sort | system dynamics models for public health and health care policy |
| topic | simulation model public health practice chronic disease prevention cardiovascular diseases cancer COVID-19 tourism recovery public policy system dynamics participatory modelling health social care integrated care hospital delayed hospital discharges strategy congestion capacity archetypes unintended consequences population health and well-being equity stewardship resilience simulation modeling uncertainty analysis optimization sensitivity testing Monte Carlo randomization opioid epidemic prosthetics major lower-limb amputations prosthesis usage amputee mobility health care system health policy youth homelessness child welfare juvenile justice mental health public health decision making long-term conditions resource allocation complex systems early detection of cancer mass screening decision-making dissemination clinical practice guidelines evidence-based guidelines policy decision thresholds prostate cancer natural history of disease biomarker PSA thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | simulation model public health practice chronic disease prevention cardiovascular diseases cancer COVID-19 tourism recovery public policy system dynamics participatory modelling health social care integrated care hospital delayed hospital discharges strategy congestion capacity archetypes unintended consequences population health and well-being equity stewardship resilience simulation modeling uncertainty analysis optimization sensitivity testing Monte Carlo randomization opioid epidemic prosthetics major lower-limb amputations prosthesis usage amputee mobility health care system health policy youth homelessness child welfare juvenile justice mental health public health decision making long-term conditions resource allocation complex systems early detection of cancer mass screening decision-making dissemination clinical practice guidelines evidence-based guidelines policy decision thresholds prostate cancer natural history of disease biomarker PSA thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20230714_9783036578415_17 |