Evidence Based Nursing Research Project

Introduction: A need for baccalaureate prepared nurses to find and use evidence in practice exists. Whereas using this evidence in practice may be a masters level expectation, current practice demands that baccalaureate prepared nurses acquire a basic understanding of how to use evidence in practice. Nursing students at the senior level have had exposure to critiquing research, however, they have difficulty translating evidence to practice. [See PDF for complete abstract]

A project to improve the information seeking skills and increase the use of evidence-based research in public health practice

The ability of public health practitioners (PHPs) to work efficiently and effectively is negatively impacted by their lack of knowledge of the broad range of evidence-based practice information resources and tools that can be utilized to guide them in their development of health policies and programs. This project, a three-hour continuing education hands-on workshop with supporting resources, was designed to increase knowledge and skills of these resources. The workshop was presented as a pre-conference continuing education program for the Texas Public Health Association (TPHA) 2008 Annual Conference. Topics included: identification of evidence-based practice resources to aid in the development of policies and programs; identification of sources of publicly available data; utilization of data for community assessments; and accessing and searching the literature through a collection of databases available to all citizens of Texas. Supplemental resources included a blog that served as a gateway to the resources explored during the presentation, a community assessment workbook that incorporates both Healthy People 2010 objectives and links to reliable sources of data, and handouts providing additional instruction on the use of the resources covered during the workshop.^ Before- and after-workshop surveys based on Kirkpatrick's 4-level model of evaluation and the Theory of Planned Behavior were administered. Of the questions related to the trainer, the workshop, and the usefulness of the workshop, participants gave "Good" to "Excellent" responses to all one question. Confidence levels overall increased a statistically significant amount; measurements of attitude, social norms, and control showed no significant differences before and after the workshop. Lastly, participants indicated they were likely to use resources shown during the workshop within a one to three month time period on average. ^ The workshop and creation of supplemental resources served as a pilot for a funded project that will be continued with the development and delivery of four 4-week long webinar-based training sessions to be completed by December 2008. ^

Quantitative comparison of late effects following photon versus proton external-beam radiation therapies: Toward an evidence-based approach to selecting a treatment modality

Radiation therapy has been used as an effective treatment for malignancies in pediatric patients. However, in many cases, the side effects of radiation diminish these patients’ quality of life. In order to develop strategies to minimize radiogenic complications, one must first quantitatively estimate pediatric patients’ relative risk for radiogenic late effects, which has not become feasible till recently because of the calculational complexity. The goals of this work were to calculate the dose delivered to tissues and organs in pediatric patients during contemporary photon and proton radiotherapies; to estimate the corresponding risk of radiogenic second cancer and cardiac toxicity based on the calculated doses and on dose-risk models from the literature; to test for the statistical significance of the difference between predicted risks after photon versus proton radiotherapies; and to provide a prototype of an evidence-based approach to selecting treatment modalities for pediatric patients, taking second cancer and cardiac toxicity into account. The results showed that proton therapy confers a lower predicted risk of radiogenic second cancer, and lower risks of radiogenic cardiac toxicities, compared to photon therapy. An uncertainty analysis revealed that the qualitative findings of this study are insensitive to changes in a wide variety of host and treatment related factors.

Assessing and applying evidence-based interventions at the community level in India as a model policy to reduce neonatal mortality rates in Nigeria

Background. The United Nations' Millennium Development Goal (MDG) 4 aims for a two-thirds reduction in death rates for children under the age of five by 2015. The greatest risk of death is in the first week of life, yet most of these deaths can be prevented by such simple interventions as improved hygiene, exclusive breastfeeding, and thermal care. The percentage of deaths in Nigeria that occur in the first month of life make up 28% of all deaths under five years, a statistic that has remained unchanged despite various child health policies. This paper will address the challenges of reducing the neonatal mortality rate in Nigeria by examining the literature regarding efficacy of home-based, newborn care interventions and policies that have been implemented successfully in India. ^ Methods. I compared similarities and differences between India and Nigeria using qualitative descriptions and available quantitative data of various health indicators. The analysis included identifying policy-related factors and community approaches contributing to India's newborn survival rates. Databases and reference lists of articles were searched for randomized controlled trials of community health worker interventions shown to reduce neonatal mortality rates. ^ Results. While it appears that Nigeria spends more money than India on health per capita ($136 vs. $132, respectively) and as percent GDP (5.8% vs. 4.2%, respectively), it still lags behind India in its neonatal, infant, and under five mortality rates (40 vs. 32 deaths/1000 live births, 88 vs. 48 deaths/1000 live births, 143 vs. 63 deaths/1000 live births, respectively). Both countries have comparably low numbers of healthcare providers. Unlike their counterparts in Nigeria, Indian community health workers receive training on how to deliver postnatal care in the home setting and are monetarily compensated. Gender-related power differences still play a role in the societal structure of both countries. A search of randomized controlled trials of home-based newborn care strategies yielded three relevant articles. Community health workers trained to educate mothers and provide a preventive package of interventions involving clean cord care, thermal care, breastfeeding promotion, and danger sign recognition during multiple postnatal visits in rural India, Bangladesh, and Pakistan reduced neonatal mortality rates by 54%, 34%, and 15–20%, respectively. ^ Conclusion. Access to advanced technology is not necessary to reduce neonatal mortality rates in resource-limited countries. To address the urgency of neonatal mortality, countries with weak health systems need to start at the community level and invest in cost-effective, evidence-based newborn care interventions that utilize available human resources. While more randomized controlled studies are urgently needed, the current available evidence of models of postnatal care provision demonstrates that home-based care and health education provided by community health workers can reduce neonatal mortality rates in the immediate future.^

A Path Forward: Evidence-Based Approaches to Educational Policy and Practice

In the complex landscape of public education, participants at all levels are searching for policy and practice levers that can raise overall performance and close achievement gaps. The collection of articles in this edition of the Journal of Applied Research on Children takes a big step toward providing the tools and tactics needed for an evidence-based approach to educational policy and practice.

Assessing Distributed Leadership and the Successful Implementation of Evidence-Based Practices

Kelly and Halverson are to be congratulated on their contribution to the field of education. Their efforts in designing The Comprehensive Assessment of Leadership forLearning (CALL) represents a step forward inm the fomative assessment of distributed leadership in schools and their work is noteworthy in its rapid linking of survey assessment data to specific feedback and recommendations for users. Issues relevant to evidence-based practices, implementation, and professional common language are addressed in this commentary.

Building an Evidence-Based Approach to Address Dating Violence Prevention

Purpose: To discuss the approach and recommendations related to the adoption of school based curriculum for violence prevention. Findings: Preliminary assessments suggest that middle and high school youth experience a variety of forms of violence in social and dating relationships. Such experiences have negative academic, behavioral and emotional consequences. Conclusions: The authors have clearly illuminated the need for addressing the phenomenon of dating violence. The field could benefit from more robust evidenced-based investigations that substantiate that interventions have an impact beyond attitudinal changes toward the behavior. Such academic endeavors will provide a platform to validate the inclusion of such information in a school based curriculum as act as a call for action for broad based interventions.

You Know You Are Evidence-Based If...

This issue of the Family Preservation Journal further contributes to our knowledge of what works in family preservation and family support by offering seven articles that are evidence-based.

Using citation data to improve retrieval from MEDLINE.

OBJECTIVE: To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize important articles, defined as being included in a pre-existing bibliography of important literature in surgical oncology. RESULTS Citation-based algorithms were more effective than noncitation-based algorithms at identifying important articles. The most effective strategies were simple citation count and PageRank, which on average identified over six important articles in the first 100 results compared to 0.85 for the best noncitation-based algorithm (p < 0.001). The authors saw similar differences between citation-based and noncitation-based algorithms at 10, 20, 50, 200, 500, and 1,000 results (p < 0.001). Citation lag affects performance of PageRank more than simple citation count. However, in spite of citation lag, citation-based algorithms remain more effective than noncitation-based algorithms. CONCLUSION Algorithms that have proved successful on the World Wide Web can be applied to biomedical information retrieval. Citation-based algorithms can help identify important articles within large sets of relevant results. Further studies are needed to determine whether citation-based algorithms can effectively meet actual user information needs.

Bayesian generalized linear models for meta-analysis of diagnostic tests

With the recognition of the importance of evidence-based medicine, there is an emerging need for methods to systematically synthesize available data. Specifically, methods to provide accurate estimates of test characteristics for diagnostic tests are needed to help physicians make better clinical decisions. To provide more flexible approaches for meta-analysis of diagnostic tests, we developed three Bayesian generalized linear models. Two of these models, a bivariate normal and a binomial model, analyzed pairs of sensitivity and specificity values while incorporating the correlation between these two outcome variables. Noninformative independent uniform priors were used for the variance of sensitivity, specificity and correlation. We also applied an inverse Wishart prior to check the sensitivity of the results. The third model was a multinomial model where the test results were modeled as multinomial random variables. All three models can include specific imaging techniques as covariates in order to compare performance. Vague normal priors were assigned to the coefficients of the covariates. The computations were carried out using the 'Bayesian inference using Gibbs sampling' implementation of Markov chain Monte Carlo techniques. We investigated the properties of the three proposed models through extensive simulation studies. We also applied these models to a previously published meta-analysis dataset on cervical cancer as well as to an unpublished melanoma dataset. In general, our findings show that the point estimates of sensitivity and specificity were consistent among Bayesian and frequentist bivariate normal and binomial models. However, in the simulation studies, the estimates of the correlation coefficient from Bayesian bivariate models are not as good as those obtained from frequentist estimation regardless of which prior distribution was used for the covariance matrix. The Bayesian multinomial model consistently underestimated the sensitivity and specificity regardless of the sample size and correlation coefficient. In conclusion, the Bayesian bivariate binomial model provides the most flexible framework for future applications because of its following strengths: (1) it facilitates direct comparison between different tests; (2) it captures the variability in both sensitivity and specificity simultaneously as well as the intercorrelation between the two; and (3) it can be directly applied to sparse data without ad hoc correction. ^

Employment outcomes in liver transplant recipients: A policy analysis

Liver transplantation is a widely accepted treatment for end stage liver disease. Research has shown that people with end-stage liver disease experience improved survival and health-related quality of life after transplantation. However, the unemployment rate among liver transplant recipients remains high. The reasons for this were the subject of a study that was used as the primary dataset for this policy analysis. According to the primary data and background supporting data, many transplant recipients remain unemployed for fear of losing needed healthcare and disability benefits. When employment is considered as a health outcome, it is important in an era of evidence based medicine to ensure that healthcare interventions such as liver transplantation produce improved health outcomes. Therefore, the high unemployment rate among liver transplant recipients is a poor health outcome that should be addressed. In this policy analysis, it is proposed that policy might affect this outcome. The problem of unemployment after liver transplantation is structured and policies affecting the problem are evaluated according to the validated criteria - Effectiveness, Equity, Efficiency, and Feasibility. A policy solution is proposed, evaluated, and ultimately recommended to effectively address the problem, to make healthcare coverage more equitable for liver transplant recipients, and to provide a more cost-effective healthcare coverage model during this time of healthcare crisis.^

Attitudes and other barriers to the utilization of clinical research findings by American physicians: A systematic review

Background: The Institute of Medicine estimates that only a maximum of 25% of clinical research findings are incorporated into practice by physicians. To improve clinical practice, efforts have been made to promote evidence-based medicine and the use of clinical guidelines. Despite these efforts, the gap between research and clinical practice remains wide.^ Objective: To systematically review the literature describing the factors which influence the use of clinical research recommendations by American physicians.^ Hypothesis: Barriers exist in the application of clinical research into clinical practice, and are multifactorial. The establishment of the Clinical and Translational Awards (CTSA; special federal grants awarded to selected institutions to support clinical and translational research) has reduced the effect of these barriers and improved the process of clinical research translation into practice among American physicians.^ Aims: Identify barriers and facilitators of the use of research findings in clinical practice by American physicians. Contrast studies published six years before and after the creation of the CTSA.^ Methods: The sources of data include published literature from Medline, PubMed and PsycINFO. Selected studies must be qualitative, a survey of American clinicians, based on evidence-based medicine practice, clinical guidelines or treatment pathways. Systematic reviews and reports were excluded, as well as studies with less than 100 respondents.^ Results: In total, 1036 abstracts were reviewed; 115 full text potential articles were identified and reviewed, and a total of 31 studies met all criteria for inclusion in the final review.^ Conclusions: The barriers against the application of clinical research findings, in the forms of clinical guidelines, evidence-based medicine guides and clinical pathways, can be divided broadly into physician barriers, practice/system barriers and patient barriers. Physician barriers are the most common barriers, especially the lack of familiarity with guidelines and the lack of time. Of the factors which improve the use of research based guidelines, physician factors such as younger age, lower duration of clinical practice, specialty training, and practice in large group Health Maintenance Organization (HMO) settings with fewer patients seen were the most commonly cited.^