scholarly journals The Evolution of Gambling-Related Harm Measurement: Lessons from the Last Decade

2021 ◽  
Vol 18 (9) ◽  
pp. 4395
Author(s):  
Matthew Browne ◽  
Vijay Rawat ◽  
Catherine Tulloch ◽  
Cailem Murray-Boyle ◽  
Matthew Rockloff
Keyword(s):  
Public Health ◽  
Population Level ◽  
Health Utility ◽  
Health And Wellbeing ◽  
Recent Developments ◽  
Psychometric Evidence ◽  
Future Work ◽  
Utility Metrics ◽  
Gambling Harms ◽  
Related Harm

Jurisdictions around the world have a self-declared mandate to reduce gambling-related harm. However, historically, this concept has suffered from poor conceptualisation and operationalisation. However, recent years have seen swift advances in measuring gambling harm, based on the principle of it being a quantifiable decrement to the health and wellbeing of the gambler and those connected to them. This review takes stock of the background and recent developments in harm assessment and summarises recent research that has validated and applied the Short Gambling Harms Screen and related instruments. We recommend that future work builds upon the considerable psychometric evidence accumulated for the feasibility of direct elicitation of harmful consequences. We also advocate for grounding harms measures with respect to scalar changes to public health utility metrics. Such an approach will avoid misleading pseudo-clinical categorisations, provide accurate population-level summaries of where the burden of harm is carried, and serve to integrate gambling research with the broader field of public health.

Theory of change: Don’t Bet Your Life On It

2021 ◽  
Author(s):  
Keyword(s):  
Public Health ◽  
Great Britain ◽  
Lived Experience ◽  
Seat Belt ◽  
Theory Of Change ◽  
Public Health Issue ◽  
Clinical Expertise ◽  
Significant Public Health ◽  
Gambling Harms ◽  
Related Harm

Gambling-related harms are increasingly recognised as a significant public health issue in Great Britain. The vast majority of those experiencing gambling harms remain unidentified and without support. Don't Bet Your Life On It (DBYLOI) blends lived experience and clinical expertise to deliver practical safer gambling strategies virtually for players that can be accessed anytime and anywhere to prevent any life from being needlessly affected by gambling-related harm. It is designed to support players at any level of play by providing players with a “seat belt” to prevent harms from occurring, identify early signs of risk, and signpost those experiencing harms to get the help they need. This theory of change visual and narrative considers the inputs, activities, outputs, and outcomes necessary to achieve these goals. It can be used by organizations, groups, and individuals in any sector impacted by gambling related harms in Great Britain.

scholarly journals An overview of select cannabis use and supply indicators pre- and post-legalization in Canada

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Benedikt Fischer ◽  
Angelica Lee ◽  
Tessa Robinson ◽  
Wayne Hall
Keyword(s):  
Public Health ◽  
Health And Safety ◽  
Population Level ◽  
Cannabis Use ◽  
Medical Cannabis ◽  
Level Data ◽  
Frequency Of Use ◽  
Key Indicators ◽  
Public Health And Safety ◽  
Related Harm

Abstract Background Canada implemented the legalization and regulation of non-medical cannabis use, production and sale in 2018 aiming to improve public health and safety. While outcomes from legalization reforms in other jurisdictions mostly rely on US-based data have been assessed to be mixed, Canadian data are only emerging. We compiled select population-level data on key indicators to gauge initial developments from pre- to post-legalization of cannabis in Canada. Methods We examined indicators data focusing on the following topics: prevalence of cannabis use, frequency of use, methods/products of consumption, driving after cannabis use, and cannabis sourcing. Indicator data were obtained mostly from national and some provincial population surveys. Prevalence or percentages for the indicators pre- and post-legalization (e.g., 2017- 2020), including confidence intervals were reported, with changes noted, as available in and indicated by the data sources. Results Data suggested selected increases in cannabis use prevalence, mostly among mid- and older- but possibly also younger (e.g., under legal use age) users. Frequency of use and driving after cannabis use among active users do not appear to have changed. Methods of cannabis use show diversifying trends, with decreases in smoking and increases in alternatives use modes (e.g., edibles, vaping). There is a clearly increasing trend towards accessing cannabis from legal sources among adults, while under-legal-use-age youth do not appear to experience heightened barriers to obtaining cannabis in legalization contexts. Conclusions Preliminary indicators on cannabis legalization in Canada show a mixed picture, some similar to US-based developments. While some use increases are observed, these do not necessarily represent indications of increases in cannabis-related harm, also since key (e.g., hospitalization or injury) data are lacking to date. There is a gradual embracing of legal supply sources of cannabis among users, which can be expected to serve public health and safety objectives. At the same time, cannabis use and access among under-age users as a principally vulnerable group do not appear to be hindered or reduced by legalization.

scholarly journals Gambling participation, gambling habits, gambling-related harm, and opinions on gambling advertising in Finland in 2016

2018 ◽  
Vol 35 (3) ◽  
pp. 215-234 ◽  
Author(s):  
Anne H. Salonen ◽  
Matilda Hellman ◽  
Tiina Latvala ◽  
Sari Castrén
Keyword(s):  
Driving Force ◽  
Clinical Sample ◽  
Population Sample ◽  
Population Level ◽  
External Factors ◽  
Grocery Stores ◽  
Gambling Participation ◽  
Per Se ◽  
Gambling Harms ◽  
Related Harm

Background: This report is an overview of results from the 2016 Finnish Gambling Harms Survey covering the population and clinical perspectives. It summarises the main findings on gambling participation, gambling habits, gambling-related harm, and opinions on gambling advertising. Methods: The population sample ( n = 7186) was collected from three regions and the clinical sample ( n = 119) in a gambling help clinic. Results: Frequency of gambling in the population sample was characteristically once a week, while in the clinical sample it was daily. Men gambled more often than women only in the population sample. The most common gambling environments were kiosks, grocery stores or supermarkets, and home. The most typical gambling-related harms were financial or emotional/psychological harms; the amount of experienced harm was considerable among the clinical sample. The clinical sample also perceived gambling advertising as obtrusive and as a driving force for gambling. Conclusions: The results of the clinical sample imply that when gambling gets out of hand, the distinctions between gamblers’ habits diminish and become more streamlined, focusing on gambling per se – doing it often, and in greater varieties (different game types). There is a heightened need to monitor gambling and gambling-related harm at the population level, especially amongst heavy consumers, in order to understand what type of external factors pertaining to policy and governance may contribute to the shift from recreational to problem gambling.

scholarly journals A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at Pathogenwatch

2020 ◽  
Author(s):  
Silvia Argimón ◽  
Corin A. Yeats ◽  
Richard J. Goater ◽  
Khalil Abudahab ◽  
Benjamin Taylor ◽  
...  
Keyword(s):  
Public Health ◽  
High Risk ◽  
Antimicrobial Resistance ◽  
Web Application ◽  
Genomic Data ◽  
Population Level ◽  
Epidemiological Data ◽  
Health Utility ◽  
Global Scale ◽  
Genomic Predictions

AbstractBackgroundMicrobial whole-genome sequencing (WGS) is now increasingly used to inform public health investigations of infectious disease. This approach has transformed our understanding of the global population structure of Salmonella enterica serovar Typhi (S. Typhi), the causative agent of typhoid fever. WGS has been particularly informative for understanding the global spread of multi-drug resistant (MDR) typhoid. As WGS capacity becomes more decentralised, there is a growing opportunity for collaboration and sharing of surveillance data within and between countries to inform disease control policies. This requires freely available, community driven tools that reduce the barriers to access genomic data for public health surveillance and that deliver genomic data on a global scale.MethodsHere we present the Pathogenwatch (https://pathogen.watch/styphi) scheme for S. Typhi, a web application enabling the rapid identification of genomic markers of antimicrobial resistance (AMR) and contextualization with public genomic data to identify high-risk clones at a population level. Data are delivered in single genome reports or in collections of genomes combined with geographic and other data using trees, maps and tables.ResultsWe show that the clustering of S. Typhi genomes in Pathogenwatch is comparable to established bioinformatics methods, and that genomic predictions of AMR are largely concordant with phenotypic drug susceptibility data. We demonstrate the public health utility of Pathogenwatch with examples selected from over 4,300 public genomes available in the application.ConclusionsPathogenwatch democratises genomic epidemiology of S. Typhi by providing an intuitive entry point for the analysis of WGS and linked epidemiological data, enabling international public health monitoring of the emergence and spread of high risk clones.

scholarly journals How Do State Gambling Monopolies Affect Levels of Gambling Harm?

2021 ◽  
Author(s):  
Virve Marionneau ◽  
Michael Egerer ◽  
Janne Nikkinen
Keyword(s):  
Public Health ◽  
Literature Review ◽  
Problem Gambling ◽  
Conflicts Of Interest ◽  
Public Health Approach ◽  
Total Consumption ◽  
The Public ◽  
Preventive Work ◽  
Gambling Harms ◽  
Related Harm

Abstract Purpose of Review This systematic literature review evaluates the potential of gambling monopolies to affect gambling harms. It compares the occurrence of gambling harms in jurisdictions with gambling monopolies to jurisdictions with license-based regimes. Recent Findings The review identified 21 publications concerning three gambling-related harm indicators: problem gambling prevalence, total consumption, and the appearance of conflicts of interest. Due to the dearth of literature, concept papers and older publications were also included. Summary Results show that there is a paucity of empirical research on the effectiveness of different regulatory regimes in affecting gambling harms. Available research demonstrates that monopolistic regimes appear to perform somewhat better in terms of problem gambling prevalence and total consumption but may also be more prone to conflicts of interest than license-based regimes. Monopolistic configurations also differ between themselves, and issues such as availability, accessibility, product range, scope of preventive work, monitoring, as well as the recognition of the public health approach may better predict the levels of harm in society than the existence of a monopoly.

PENERAPAN CLUSTERING PADA PENDUDUK YANG MEMPUNYAI KELUHAN KESEHATAN DENGAN DATAMINING K-MEANS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nurul Rofiqo ◽  
Agus Perdana Windarto ◽  
Dedy Hartama
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Population Level ◽  
Research Data ◽  
Health Complaints ◽  
Public Health Services ◽  
National Statistics ◽  
Central Java ◽  
Indonesian Population ◽  
The Government

This study aims to utilize Clushtering Algorithm in grouping the number of people who have health complaints with the K-means algorithm in Indonesia. The source of this research data was collected based on the documents of the provincial population which had health complaints produced by the National Statistics Agency. The data used in this study are data from 2013-2017 consisting of 34 provinces. The method used in this research is K-means Algorithm. Data will be processed by clushtering in 3 clushter, namely clusther high health complaints, clusther moderate and low health complaints. Centroid data for high population level clusters 37.48, Centroid data for moderate population level clusters 27.08, and Centroid data for low population level clusters 14.89. So that obtained an assessment based on the population index that has health complaints with 7 provinces of high health complaints, namely Central Java, Yogyakarta, Bali, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, Gorontalo, 18 provinces of moderate health complaints, and 9 other provinces including low health complaints. This can be an input to the government to give more attention to residents in each region who have high health complaints through improving public health services so that the Indonesian population becomes healthier without health complaints.Keywords: data mining, health complaints, clustering, K-means, Indonesian residents

Fidelity and Its Relationship to Implementation Effectiveness, Adaptation, and Dissemination

2017 ◽  
Author(s):  
Jennifer D. Allen ◽  
Rachel C. Shelton ◽  
Karen M. Emmons ◽  
Laura A. Linnan
Keyword(s):  
Public Health ◽  
Treatment Strategies ◽  
Implementation Fidelity ◽  
Population Level ◽  
The United States ◽  
Dissemination And Implementation ◽  
Evidence Based ◽  
Health Gains ◽  
Significant Public Health ◽  
Research Continuum

There is substantial variability in the implementation of evidence-based interventions across the United States, which leads to inconsistent access to evidence-based prevention and treatment strategies at a population level. Increased dissemination and implementation of evidence-based interventions could result in significant public health gains. While the availability of evidence-based interventions is increasing, study of implementation, adaptation, and dissemination has only recently gained attention in public health. To date, insufficient attention has been given to the issue of fidelity. Consideration of fidelity is necessary to balance the need for internal and external validity across the research continuum. There is also a need for a more robust literature to increase knowledge about factors that influence fidelity, strategies for maximizing fidelity, methods for measuring and analyzing fidelity, and examining sources of variability in implementation fidelity.

Tobacco as a Matter of Public Health: Ethical Issues

2019 ◽  
pp. 494-510
Author(s):  
Kristin Voigt
Keyword(s):  
Public Health ◽  
Tobacco Use ◽  
Ethical Issues ◽  
Population Level ◽  
Third Parties ◽  
Background Factors ◽  
Normative Issues

This chapter considers normative issues that tobacco raises at the population level, particularly with respect to the anti-smoking strategies policymakers might pursue and the reasons and justifications underlying these strategies. After setting out several background factors that shape the debate, the chapter discusses different grounds on which state and public health actors might seek to restrict tobacco use, considering in turn those justifications that focus on protecting smokers and those that seek to protect third parties. The chapter then considers normative problems arising in relation to specific anti-smoking strategies, such as restrictions on the sale, use, and marketing of cigarettes; taxation; incentives for cessation; and denormalization strategies. Issues of paternalism and the stigma associated with smoking are also discussed.

scholarly journals Identifying Environmental Determinants Relevant to Health and Wellbeing in Remote Australian Indigenous Communities: A Scoping Review of Grey Literature

2021 ◽  
Vol 18 (8) ◽  
pp. 4167
Author(s):  
Amal Chakraborty ◽  
Mark Daniel ◽  
Natasha J. Howard ◽  
Alwin Chong ◽  
Nicola Slavin ◽  
...  
Keyword(s):  
Public Health ◽  
Chronic Diseases ◽  
Scoping Review ◽  
Classification System ◽  
Grey Literature ◽  
Indigenous Communities ◽  
Environmental Indicators ◽  
Health Concern ◽  
Environmental Determinants ◽  
Health And Wellbeing

The high prevalence of preventable infectious and chronic diseases in Australian Indigenous populations is a major public health concern. Existing research has rarely examined the role of built and socio-political environmental factors relating to remote Indigenous health and wellbeing. This research identified built and socio-political environmental indicators from publicly available grey literature documents locally-relevant to remote Indigenous communities in the Northern Territory (NT), Australia. Existing planning documents with evidence of community input were used to reduce the response burden on Indigenous communities. A scoping review of community-focused planning documents resulted in the identification of 1120 built and 2215 socio-political environmental indicators. Indicators were systematically classified using an Indigenous indicator classification system (IICS). Applying the IICS yielded indicators prominently featuring the “community infrastructure” domain within the built environment, and the “community capacity” domain within the socio-political environment. This research demonstrates the utility of utilizing existing planning documents and a culturally appropriate systematic classification system to consolidate environmental determinants that influence health and disease occurrence. The findings also support understanding of which features of community-level built and socio-political environments amenable to public health and social policy actions might be targeted to help reduce the prevalence of infectious and chronic diseases in Indigenous communities.

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