Are You Making an Impact? Evaluating the Population Health Impact of Community Benefit Programs

2018 ◽  
Vol 24 (4) ◽  
pp. 335-339 ◽  
Author(s):  
Catherine M. Rains ◽  
Greta Todd ◽  
Nicole Kozma ◽  
Melody S. Goodman
2019 ◽  
Vol 29 (Suppl 1) ◽  
pp. 187-192
Author(s):  
Megan C. Roberts ◽  
George A. Mensah ◽  
Muin J. Khoury

The integration of genomic data into screen­ing, prevention, diagnosis, and treatment for clinical and public health practices has been slow and challenging. Implementa­tion science can be applied in tackling the barriers and challenges as well as exploring opportunities and best practices for integrat­ing genomic data into routine clinical and public health practice. In this article, we de­fine the state of disparities in genomic medi­cine and focus predominantly on late-stage research findings. We use case studies from genetic testing for cardiovascular diseases (familial hypercholesterolemia) and cancer (Lynch syndrome and hereditary breast and ovarian cancer syndrome) in high-risk populations to consider current disparities and related barriers in turning genomic advances into population health impact to advance health equity. Finally, we address how implementation science can address these translational barriers and we discuss the strategic importance of collaborative multi-stakeholder approaches that engage public health agencies, professional societ­ies, academic health and research centers, community clinics, and patients and their families to work collectively to improve population health and reduce or eliminate health inequities.Ethn Dis. 2019;29(Suppl 1):187-192; doi:10.18865/ed.29.S1.187.


2018 ◽  
Vol 27 (Suppl 1) ◽  
pp. s82-s86 ◽  
Author(s):  
Wendy B Max ◽  
Hai-Yen Sung ◽  
James Lightwood ◽  
Yingning Wang ◽  
Tingting Yao

ObjectivesWe review the Population Health Impact Model (PHIM) developed by Philip Morris International and used in its application to the US Food and Drug Administration (FDA) to market its heated tobacco product (HTP), IQOS, as a modified-risk tobacco product (MRTP). We assess the model against FDA guidelines for MRTP applications and consider more general criteria for evaluating reduced-risk tobacco products.MethodsIn assessing the PHIM against FDA guidelines, we consider two key components of the model: the assumptions implicit in the model (outcomes included, relative harm of the new product vs cigarettes, tobacco-related diseases considered, whether dual or polyuse of the new product is modelled, and what other tobacco products are included) and data used to estimate and validate model parameters (transition rates between non-smoking, cigarette-only smoking, dual use of cigarettes and MRTP, and MRTP-only use; and starting tobacco use prevalence).ResultsThe PHIM is a dynamic state transition model which models the impact of cigarette and MRTP use on mortality from four tobacco-attributable diseases. The PHIM excludes morbidity, underestimates mortality, excludes tobacco products other than cigarettes, does not include FDA-recommended impacts on non-users and underestimates the impact on other population groups.ConclusionThe PHIM underestimates the health impact of HTP products and cannot be used to justify an MRTP claim. An assessment of the impact of a potential MRTP on population health should include a comprehensive measure of health impacts, consideration of all groups impacted, and documented and justifiable assumptions regarding model parameters.


2016 ◽  
pp. 884-899
Author(s):  
Jordan Panayotov

Economic, social and environmental policies, programs and projects have impact on health. Health in All Policies (HiAP) aims to improve population health by taking into account these impacts. HiAP needs appropriate tools for assessing impacts on population health. When making choices between policy options, decision-makers rely on predictions from Health Impact Assessment. Currently there is no gold standard for establishing and assessing validity of predictions. This paper distinguishes between two levels of causal pathways regarding health impacts – specific and conditional, and proposes the Average Health Status – Health Inequalities Matrix as gold standard. The Matrix facilitates making the right choices at any level and local context, thus is useful for researchers, policy-makers and practitioners for designing, analysing and evaluating all kinds of policies. By allowing quick, reliable and inexpensive appraisal of different policy options the matrix makes feasible taking into account the impacts on population health and paves the way for institutionalizing of HiAP.


2019 ◽  
Vol 35 (1) ◽  
pp. 160-170 ◽  
Author(s):  
Kathryn A Pfaff ◽  
Lisa Dolovich ◽  
Michelle Howard ◽  
Deborah Sattler ◽  
Merrick Zwarenstein ◽  
...  

Summary Designing and implementing population-based systems of care that address the social determinants of health, take action on multiple levels, and are guided by evidence-based principles is a pressing priority, and an international challenge. Aging persons are a priority demographic whose health needs span physical, psychosocial and existential care domains, increase in the last year of life, are often poorly coordinated and therefore remain unmet. Compassionate communities (CCs) are an example of a public health approach that fully addresses the holistic healthcare needs of those who are aging and nearing end of life. The sharing of resources, tools, and innovations among implementers of CCs is occurring globally. Although this can increase impact, it also generates complexity that can complicate robust evaluation. When initiating population health level projects, it is important to clearly define and organize concepts and processes that are proposed to influence the health outcomes. The Health Impact Change Model (HICM) was developed to unpack the complexities associated with the implementation and evaluation of a Canadian CC intervention. The HICM offers utility for citizens, leaders and decision-makers who are engaged in the implementation of population health level strategies or other social approaches to care, such as compassionate cities and age or dementia-friendly communities. The HICM’s concepts can be adapted to address a community’s healthcare context, needs, and goals for change. We share examples of how the model’s major concepts have been applied in the development, evaluation and spread of a complex CC approach.


2019 ◽  
Vol 29 (Suppl 1) ◽  
pp. 187-192 ◽  
Author(s):  
Megan C. Roberts ◽  
George A. Mensah ◽  
Muin J. Khoury

The integration of genomic data into screen­ing, prevention, diagnosis, and treatment for clinical and public health practices has been slow and challenging. Implementa­tion science can be applied in tackling the barriers and challenges as well as exploring opportunities and best practices for integrat­ing genomic data into routine clinical and public health practice. In this article, we de­fine the state of disparities in genomic medi­cine and focus predominantly on late-stage research findings. We use case studies from genetic testing for cardiovascular diseases (familial hypercholesterolemia) and cancer (Lynch syndrome and hereditary breast and ovarian cancer syndrome) in high-risk populations to consider current disparities and related barriers in turning genomic advances into population health impact to advance health equity. Finally, we address how implementation science can address these translational barriers and we discuss the strategic importance of collaborative multi-stakeholder approaches that engage public health agencies, professional societ­ies, academic health and research centers, community clinics, and patients and their families to work collectively to improve population health and reduce or eliminate health inequities.Ethn Dis. 2019;29(Suppl 1):187-192; doi:10.18865/ed.29.S1.187.


2017 ◽  
Vol 20 (9) ◽  
pp. A652-A653 ◽  
Author(s):  
L Alvares ◽  
P Kumar ◽  
M Muthukumar ◽  
S Lesperance ◽  
P Katsaounou

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