scholarly journals Evaluating the Process and Outcomes of a Knowledge Translation Approach to Supporting Use of the Diabetes Population Risk Tool (DPoRT) in Public Health Practice

2018 ◽  
Vol 33 (1) ◽  
Author(s):  
Laura C Rosella ◽  
Catherine Bornbaum ◽  
Kathy Kornas ◽  
Michael Lebenbaum ◽  
Leslea Peirson ◽  
...  
Keyword(s):  
Public Health ◽  
Population Health ◽  
Health Planning ◽  
Public Health Practice ◽  
Specific Data ◽  
Knowledge To Action ◽  
Action Model ◽  
Health Related ◽  
Evaluation Matrix ◽  
Planning Knowledge

Abstract: To support the use of the Diabetes Population Risk Tool (DPoRT) in public health settings, a knowledge brokering (KB) team used and evaluated the Population Health Planning Knowledge-to-Action model. Participants (n = 24) were from four health-related organizations. Data sources included document reviews, surveys, fo-cus groups, interviews, and observational notes. Site-specific data were analyzed and then triangulated across sites using an evaluation matrix. The KB team facilitated DPoRT use through planned and iterative strategies. Outcomes included changes in skill, knowledge, and organizational practices. The Population Health Planning Knowledge-to-Action model and team-based KB strategy supported DPoRT use in public health settings.Résumé: Pour appuyer l’utilisation de l’outil Diabetes Population Risk Tool (DPoRT) dans les milieux de santé publique, une équipe de courtage de connaissances (KB) a utilisé et évalué le modèle Population Health Planning Knowledge-to-Action. Les sources de données comprenaient  des documents, des sondages, des groupes de dis-cussion, des entrevues et des notes d’observation. L’équipe de KB a facilité l’utilisation de DPoRT. Les résultats comprenaient les changements dans les compétences, les connaissances et les pratiques organisationnelles. Le modèle Population Health Planning Knowledge-to-Action et la stratégie KB basée sur l’équipe ont appuyé l’utilisation de DPoRT.

scholarly journals The Canadian Bikeway Comfort and Safety (Can-BICS) Classification System: A common naming convention for cycling infrastructure

2020 ◽  
Vol 40 (9) ◽  
pp. 288-293 ◽  
Author(s):  
Meghan Winters ◽  
Moreno Zanotto ◽  
Gregory Butler
Keyword(s):  
Public Health ◽  
Classification System ◽  
Classification Scheme ◽  
Health Planning ◽  
Public Health Practice ◽  
Safety Performance ◽  
Transportation Engineering ◽  
Health Practice ◽  
Naming Convention ◽  
System A

There is no standard naming convention for cycling infrastructure across cities. Our aim was to develop a common nomenclature for cycling infrastructure in Canada, relevant to the context of public health practice. We drew on transportation engineering design guides and public health guidance to develop a bicycle facility classification system: the Canadian Bikeway Comfort and Safety (Can-BICS) classification system, a three-tiered classification scheme that groups five bicycle facilities based on safety performance and user comfort. Adopting consistent nomenclature as per the Can-BICS system will support regional and national surveillance efforts in public health, planning and sustainability.

scholarly journals Leveraging Implementation Science to Address Health Disparities in Genomic Medicine: Examples from the Field

2019 ◽  
Vol 29 (Suppl 1) ◽  
pp. 187-192
Author(s):  
Megan C. Roberts ◽  
George A. Mensah ◽  
Muin J. Khoury
Keyword(s):  
Public Health ◽  
Implementation Science ◽  
Population Health ◽  
Public Health Practice ◽  
Genomic Medicine ◽  
Genomic Data ◽  
Health Impact ◽  
Cancer Syndrome ◽  
Public Health Agencies ◽  
Multi Stakeholder

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.

Geographical Information Management Approaches

2013 ◽  
pp. 201-222
Author(s):  
Maria José Lucena e Vale ◽  
Filipa Vale
Keyword(s):  
Public Health ◽  
Health Care ◽  
Information Management ◽  
Population Health ◽  
Geographical Information ◽  
Management Tools ◽  
Data Infrastructure ◽  
Prevalence Studies ◽  
Health Related ◽  
Management Approaches

The existence of adequate and reliable information to assess population health is essential to build solid strategies for public health promotion and social care, as to help demonstrate efficient investment in these areas. There are several health-related databases, covering different scales: World, Europe, or National, including several datasets with different details. These different datasets should be reviewed and selected on the basis of their ability to support efficient strategies associated with monitoring population health and their usefulness in the promotion of health care efficiency. To understand the relevance of these database infrastructures when integrated with Web-based, geographical information management tools, and use these to improve the knowledge of health issues, this chapter integrates examples related to enhancing the performance analysis of this collaborative spatial data infrastructure in three distinct areas: national health systems and health care; disease prevalence studies in different countries, and integrated analysis of environment quality and public health.

scholarly journals Leveraging Implementation Science to Address Health Disparities in Genomic Medicine: Examples from the Field

2019 ◽  
Vol 29 (Suppl 1) ◽  
pp. 187-192 ◽  
Author(s):  
Megan C. Roberts ◽  
George A. Mensah ◽  
Muin J. Khoury
Keyword(s):  
Public Health ◽  
Implementation Science ◽  
Population Health ◽  
Public Health Practice ◽  
Genomic Medicine ◽  
Genomic Data ◽  
Health Impact ◽  
Cancer Syndrome ◽  
Public Health Agencies ◽  
Multi Stakeholder

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.

scholarly journals Scraping the Web for Public Health Gains: Ethical Considerations from a ‘Big Data’ Research Project on HIV and Incarceration

2020 ◽  
Vol 13 (1) ◽  
pp. 111-121 ◽  
Author(s):  
Stuart Rennie ◽  
Mara Buchbinder ◽  
Eric Juengst ◽  
Lauren Brinkley-Rubinstein ◽  
Colleen Blue ◽  
...  
Keyword(s):  
Public Health ◽  
Ethical Issues ◽  
Health Planning ◽  
Public Health Practice ◽  
Public Health Research ◽  
Health Practice ◽  
Ethical Considerations ◽  
Individual Level ◽  
Hiv Surveillance ◽  
The Web

Abstract Web scraping involves using computer programs for automated extraction and organization of data from the Web for the purpose of further data analysis and use. It is frequently used by commercial companies, but also has become a valuable tool in epidemiological research and public health planning. In this paper, we explore ethical issues in a project that “scrapes” public websites of U.S. county jails as part of an effort to develop a comprehensive database (including individual-level jail incarcerations, court records and confidential HIV records) to enhance HIV surveillance and improve continuity of care for incarcerated populations. We argue that the well-known framework of Emanuel et al. (2000) provides only partial ethical guidance for the activities we describe, which lie at a complex intersection of public health research and public health practice. We suggest some ethical considerations from the ethics of public health practice to help fill gaps in this relatively unexplored area.

Ohio Statewide Efforts to Align Public Health/Health Care Population Health Planning

2018 ◽  
Vol 24 ◽  
pp. S66-S68
Author(s):  
Susan Tilgner ◽  
Lance Himes ◽  
Terry Allan ◽  
Krista Wasowski ◽  
Beth Bickford ◽  
...  
Keyword(s):  
Public Health ◽  
Health Care ◽  
Population Health ◽  
Health Planning

scholarly journals Evaluating Web-based Static, Animated, and Interactive Maps for Injury Prevention

2021 ◽  
Author(s):  
Jonathan Cinnamon ◽  
Claus Rinner ◽  
Michael D. Cusimano ◽  
Sean Marshall ◽  
Tsegaye Bekele ◽  
...  
Keyword(s):  
Public Health ◽  
Health Planning ◽  
Visual Exploration ◽  
Map Comparison ◽  
Interactive Maps ◽  
Map Design ◽  
Health Related ◽  
The Individual ◽  
Demographic Risk ◽  
Demographic Risk Factors

Public health planning can benefit from visual exploration and analysis of geospatial data. Maps and geo-visualization tools must be developed with the user-group in mind. User-needs assessment and usability testing are crucial elements in the iterative process of map design and implementation. This study presents the results of a usability test of static, animated and interactive maps of injury rates and socio-demographic determinants of injury by a sample of potential end-users in Toronto, Canada. The results of the user-testing suggest that different map types are useful for different purposes and for satisfying the varying skill level of the individual user. The static maps were deemed to be easy to use and versatile, while the animated maps could be made more useful if animation controls were provided. The split-screen concepts of the interactive maps was highlighted as particularly effective for map comparison. Overall, interactive maps were identified as the preferred map type for comparing patterns of injury and related socio-demographic risk factors. Information collected from the user-tests is being used to expand and refind the injury webmaps for Toronto, and could inform other public health-related geo-visualization projects.

scholarly journals An evaluation of Ontario public health units' practices in the redevelopment of brownfields

2021 ◽  
Author(s):  
Barbara Lachapelle
Keyword(s):  
Public Health ◽  
Critical Analysis ◽  
Public Health Practice ◽  
Health Benefits ◽  
Health Practice ◽  
Critical Factors ◽  
Brownfield Redevelopment ◽  
Factors Affecting ◽  
Brownfield Sites ◽  
Action Model

The revitalization of brownfields provides many health benefits. Revitalization addresses historical contamination and it allows to re-design the community with health in mind. It is recognized that public health units (PHUs) have an important role to play on brownfield sites. Information suggests that Ontario PHUs often become involved on brownfield sites but the extend of that involvement is not known. Ontario PHUs were surveyed about their involvement on brownfield sites. The results indicate that most Ontario PHUs engage in brownfield redevelopment to some extent. Public health units identified inadequate resources, expertise, and lack of training as the most critical factors affecting their response. Results of the survey were further compared with the ATSDR Brownfields/Land Revitalization Action Model. This critical analysis helped to identify key gaps and weaknesses in the current Ontario practices. The results are used to propose recommendations to enhance public health practice and to maximize community health benefits.

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