Pharmacogenetic Smoking Cessation Intervention in a Health Care Setting: A Pilot Feasibility Study

McClure, Jennifer B.; Swan, Gary E.; John, Jackie St; Fauver, Randy; Javitz, Harold S.; Bergen, Andrew W.; Nishita, Denise; Niaura, Raymond; Munafò, Marcus R.; David, Sean P.

doi:10.1093/ntr/nts173

Cited by 17 publications

(14 citation statements)

References 46 publications

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“…Increasing understanding of how genetic variation predicts response to medications has led some institutions to initiate genomic medicine pilots with pharmacogenetic applications. 20,21 …”

Section: Ehrs: Structure and Standardsmentioning

confidence: 99%

Practical challenges in integrating genomic data into the electronic health record

Kho

Rasmussen

Connolly

et al. 2013

Genetics in Medicine

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Genetic testing has had limited impact on routine clinical care. Widespread adoption of electronic health records presents a promising means of disseminating genetic testing into diverse care settings. Practical challenges to integration of genomic data into electronic health records include size and complexity of genetic test results, inadequate use of standards for clinical and genetic data, and limitations in electronic health record capacity to store and analyze genetic data. Related challenges include uncertainty in the interpretation of regulatory requirements for return of results, and privacy concerns specific to genetic testing. Successful integration of genomic data may require significant redesign of existing electronic health record systems.

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“…Increasing understanding of how genetic variation predicts response to medications has led some institutions to initiate genomic medicine pilots with pharmacogenetic applications. 20,21 …”

Section: Ehrs: Structure and Standardsmentioning

confidence: 99%

Practical challenges in integrating genomic data into the electronic health record

Kho

Rasmussen

Connolly

et al. 2013

Genetics in Medicine

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“…For example, some of the healthcare institutions from the USA refer to ‘insurance coverage’ for the practices they offer. 75 82 90 91 In the country context, this implies several issues within the US health system, which create a barrier to operationalisation of these services. Among them is the difficulty of dealing with multiple payers (insurances) which decide independently on coverage of these new, not yet standardised, ‘personalised’ services.…”

Section: Resultsmentioning

confidence: 99%

Other side of the coin for personalised medicine and healthcare: content analysis of ‘personalised’ practices in the literature

et al. 2016

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ObjectivesVarious terms and definitions are used to describe personalised approaches to medicine and healthcare, but in ambiguous and inconsistent ways. They mostly have been defined in a top-down manner. However, actual practices might take different paths. Here, we aimed to provide a ‘practice-based’ perspective on the debate by analysing the content of ‘personalised’ practices published in the literature.MethodsThe search in PubMed and EMBASE (April 2014) using the terms frequently used for personalised approaches resulted in 5333 records. 2 independent researchers used different strategies for screening, resulting in 157 articles describing 88 ‘personalised’ practices that were implemented/presented on at least 1 individual/patient case. The content analysis was grounded on these data and did not have a priori analytical frameworks.Results‘Personalised medicine/healthcare’ can be a commodity in the healthcare market, a way how health services are provided, or a keyword for emerging applications. It can help individuals/patients to gain control of their health, health professionals to provide better services, healthcare organisations to increase effectiveness and efficiency, or national health systems to increase performance. Country examples indicated that for integration of practices into health services, attitude towards innovations and health system and policy context is important. Categorisation based on the terms or the technologies used, if any, was not possible.ConclusionsThis study is the first to provide a comprehensive content analysis of the ‘personalised’ practices in the literature. Unlike the top-down definitions, our findings highlighted not the technologies but real-life issues faced by the practices. ‘Personalised medicine’ and ‘personalised healthcare’ can be differentiated by using the former for specific tools available and the latter for health services with a holistic approach, implemented in certain contexts. To realise integration of ‘personalised medicine/healthcare’ into real life, science, technology, health policy and practice, and society domains must work together.

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“…However, in this study, the decrease in perceived control was not associated with the quit rate. Although recent research suggests that the association between genetic etiological and reduced perception of behavioral control are not always replicable (McClure et al 2013), this study was arguably severely underpowered (N = 36) to make such a claim.…”

Section: Introductionmentioning

confidence: 83%

“…The present study explores these effects among a young population of college students. Because of the interest in policies and regulations designed to reduce smoking on the job or in proximity to the workplace (Lu et al 2011, McClure et al 2013, McDaniel and Malone 2012), this study focused on the work environment.…”

Section: Introductionmentioning

confidence: 99%

Smoking at the workplace: effects of genetic and environmental causal accounts on attitudes toward smoking employees and restrictive policies

Dar‐Nimrod¹,

Zuckerman

Duberstein

2014

New Genetics and Society

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People hold diverse beliefs regarding the etiologies of individual and group differences in behaviors which, in turn, might affect their attitudes and behaviors. It is important to establish how perceived etiologies for smoking might affect the effectiveness of policy initiatives and prevention efforts. The present study assessed whether exposure to genetic vs. environmental accounts for smoking affects attitudes towards a) workplace-related smoking policies and b) smokers at the workplace. Results indicate that exposure to a genetic explanation led to stronger objections to a smoking restrictive policy compared with a non-genetic explanation. Additionally, participants in the genetic condition were more accepting of a smoker in the workplace than in the environmental condition. Evidently, beliefs about the etiology of smoking influence a range of attitudes related to smokers and smoking related policies.

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Pharmacogenetic Smoking Cessation Intervention in a Health Care Setting: A Pilot Feasibility Study

Abstract: Introduction: There is increasing evidence that response to pharmacological treatment for nicotine dependence may be moderated by genetic polymorphisms. However, the feasibility, acceptability, and impact of genetically tailoring treatment in real-world clinical settings are unknown.

Cited by 17 publications

References 46 publications

Practical challenges in integrating genomic data into the electronic health record

Practical challenges in integrating genomic data into the electronic health record

Other side of the coin for personalised medicine and healthcare: content analysis of ‘personalised’ practices in the literature

Smoking at the workplace: effects of genetic and environmental causal accounts on attitudes toward smoking employees and restrictive policies

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