Identifying the characteristics of nurse opinion leaders to aid the integration of genetics in nursing practice.

AIM: To identify the characteristics of nurses opinion leaders in the context of genetics in health care and consider the findings for the integration of genetics in nursing practice. BACKGROUND: Nurses need a basic understanding of the role genetics plays in their practice and about how best to support patients using genetic knowledge. Opinion leaders have been used previously to incorporate change initiatives and increase educational application. Identifying the characteristics of nurse opinion leaders may aid the engagement and continued integration of genetics into nursing practice. DESIGN: A primarily quantitative approach over two phases, using online surveys conducted during 2011. METHOD: This article focuses on Phase 2 of a wider study. Oncology and primary care nurses were surveyed to identify the characteristics and demographic indicators of nurse opinion leaders. Tests for data normality followed by the suitable test for group comparison was applied with significance level set at <0·05. RESULTS: Nineteen respondents (n = 19/88; 21·6%) were categorized as opinion leaders and two subgroups were identified: Genetic Opinion Leaders and Opinion Leaders with an Interest in Genetics. Seven characteristics were deemed statistically significant (Mann-Whitney, Chi-Square, t-test) in identifying nurse opinion leaders, including being open to experience and having a perceived level of influence over others. CONCLUSION: The identified characteristics could be used to enhance the integration of genetics into nursing practice through the use of opinion leaders. Further thought needs to be given to the refinement of the identified characteristics and to the use of such a unique group of nurses.

Telehealth interventions for primary prevention of cardiovascular disease: a systematic review and meta-analysis.

OBJECTIVE: To assess the effectiveness of telehealth interventions in the primary prevention of cardiovascular disease in adult patients in community settings. METHODS: Systematic literature review of randomised controlled trials comparing the effectiveness of telehealth interventions to reduce overall cardiovascular disease (CVD) risk and/or to reduce multiple CVD risk factors compared with a non-telehealth control group was conducted in June 2013. Study quality was assessed using the Cochrane Risk of Bias tool. Fixed and random effects models were combined with a narrative synthesis for meta-analysis of included studies. RESULTS: Three of 13 included studies measured Framingham 10-year CVD risk scores, and meta-analysis showed no clear evidence of reduction in overall risk (SMD -0.37%, 95% CI -2.08, 1.33). There was weak evidence for a reduction in systolic blood pressure (SMD -1.22 mmHg 95% CI -2.80, 0.35) and total cholesterol (SMD -0.07 mmol/L 95% CI -0.19, 0.06). There was no change in High-Density Lipoprotein cholesterol or smoking rates. CONCLUSION: There is insufficient evidence to determine the effectiveness of telehealth interventions in reducing overall CVD risk. More studies are needed that consistently measure overall CVD risk, directly compare different telehealth interventions, and determine cost effectiveness of telehealth interventions for prevention of CVD.

Using the Diffusion of Innovations theory to understand the uptake of genetics in nursing practice: identifying the characteristics of genetic nurse adopters.

AIM: To identify the characteristics of nurses who are using genetics in practice and consider the implications of the findings for optimizing its wider uptake. BACKGROUND: Nurses are crucial in realizing the benefits from advances in genetic and genomic health care. Although many recognize genetics as an important component of disease, most feel unprepared to engage with it in practice. The Diffusion of Innovation theory provides a useful framework to describe different levels of engagement. Identifying the characteristics of nurses who have engaged with genetics (adopters) may provide insights of relevance to promoting wider adoption. DESIGN: A primarily quantitative approach over two phases, using online surveys conducted during 2011. METHOD: In phase 1, consensus (>75%) was sought from experts in genetics and nursing on four potential Indicators of Genetic Adoption could identify nurses who have adopted genetics. In phase 2, oncology and primary care nurses were surveyed to identify the characteristics and demographic indicators of genetic nurse adopters. RESULTS: A consensus was achieved to include all Indicators of Genetic Adoption (phase 1). In phase 2, 27·3% of respondents (n = 24/88) were categorized as being adopters. Eighteen characteristics were determined to be statistically significant (Mann-Whitney) in defining an adopter and included being open to experience and being more knowledgeable of and confident in using genetics. CONCLUSION: Nurses can be categorized in terms of their engagement with genetics through several distinguishing characteristics. Further research is needed to test the generalizability of the findings to a larger sample and other areas of nursing practice.