Facilitating access to pre-processed research evidence in public health

<p>Abstract</p> <p>Background</p> <p>Evidence-informed decision making is accepted in Canada and worldwide as necessary for the provision of effective health services. This process involves: 1) clearly articulating a practice-based issue; 2) searching for and accessing relevant evidence; 3) appraising methodological rigor and choosing the most synthesized evidence of the highest quality and relevance to the practice issue and setting that is available; and 4) extracting, interpreting, and translating knowledge, in light of the local context and resources, into practice, program and policy decisions. While the public health sector in Canada is working toward evidence-informed decision making, considerable barriers, including efficient access to synthesized resources, exist.</p> <p>Methods</p> <p>In this paper we map to a previously developed 6 level pyramid of pre-processed research evidence, relevant resources that include public health-related effectiveness evidence. The resources were identified through extensive searches of both the published and unpublished domains.</p> <p>Results</p> <p>Many resources with public health-related evidence were identified. While there were very few resources dedicated solely to public health evidence, many clinically focused resources include public health-related evidence, making tools such as the pyramid, that identify these resources, particularly helpful for public health decisions makers. A practical example illustrates the application of this model and highlights its potential to reduce the time and effort that would be required by public health decision makers to address their practice-based issues.</p> <p>Conclusions</p> <p>This paper describes an existing hierarchy of pre-processed evidence and its adaptation to the public health setting. A number of resources with public health-relevant content that are either freely accessible or requiring a subscription are identified. This will facilitate easier and faster access to pre-processed, public health-relevant evidence, with the intent of promoting evidence-informed decision making. Access to such resources addresses several barriers identified by public health decision makers to evidence-informed decision making, most importantly time, as well as lack of knowledge of resources that house public health-relevant evidence.</p

Observation of thermal acoustic modes of a droplet coupled to an optomechanical sensor

The bulk acoustic modes of liquid droplets, well understood from a theoretical perspective, have rarely been observed experimentally. Here, we report the direct observation of acoustic vibrational modes in a picoliter-scale droplet, extending up to ~ 40 MHz. This was achieved by coupling the droplet to an ultra-sensitive optomechanical sensor, which operates in a thermal-noise limited regime and with a substantial contribution from acoustic noise in the ambient medium. The droplet vibrational modes manifest as Fano resonances in the thermal noise spectrum of the sensor. This is amongst the few reported observations of droplet acoustic modes, and of Fano interactions in a coupled mechanical oscillator system driven only by thermal Brownian motion.Comment: 11 pages, 3 figure

Ultrasonic spectroscopy of sessile droplets coupled to optomechanical sensors

We describe a system for interrogating the acoustic properties of sub-nanoliter liquid samples within an open microfluidics platform. Sessile droplets were deposited onto integrated optomechanical sensors, which possess ambient-medium-noise-limited sensitivity and can thus passively sense the thermally driven acoustic spectrum of the droplets. The droplet acoustic breathing modes manifest as resonant features in the thermomechanical noise spectrum of the sensor, in some cases hybridized with the sensor's own vibrational modes. Excellent agreement is found between experimental observations and theoretical predictions, over the entire ~ 0 - 40 MHz operating range of our sensors. With suitable control over droplet size and morphology, this technique has the potential for precision acoustic sensing of small-volume biological and chemical samples

Clinical interventions, implementation interventions, and the potential greyness in between -a discussion paper

Background: There is increasing awareness that regardless of the proven value of clinical interventions, the use of effective strategies to implement such interventions into clinical practice is necessary to ensure that patients receive the benefits. However, there is often confusion between what is the clinical intervention and what is the implementation intervention. This may be caused by a lack of conceptual clarity between \u27intervention\u27 and \u27implementation\u27, yet at other times by ambiguity in application. We suggest that both the scientific and the clinical communities would benefit from greater clarity; therefore, in this paper, we address the concepts of intervention and implementation, primarily as in clinical interventions and implementation interventions, and explore the grey area in between. Discussion: To begin, we consider the similarities, differences and potential greyness between clinical interventions and implementation interventions through an overview of concepts. This is illustrated with reference to two examples of clinical interventions and implementation intervention studies, including the potential ambiguity in between. We then discuss strategies to explore the hybridity of clinical-implementation intervention studies, including the role of theories, frameworks, models, and reporting guidelines that can be applied to help clarify the clinical and implementation intervention, respectively. Conclusion: Semantics provide opportunities for improved precision in depicting what is \u27intervention\u27 and what is \u27implementation\u27 in health care research. Further, attention to study design, the use of theory, and adoption of reporting guidelines can assist in distinguishing between the clinical intervention and the implementation intervention. However, certain aspects may remain unclear in analyses of hybrid studies of clinical and implementation interventions. Recognizing this potential greyness can inform further discourse

Pharmacodynamic Activity of Azithromycin Against Macrolide-Susceptible and Macrolide-Resistant \u3cem\u3eStreptococcus pneumoniae\u3c/em\u3e Simulating Clinically Achievable Free Serum, Epithelial Lining Fluid and Middle Ear Fluid Concentrations

Background: The association between macrolide resistance mechanisms and bacteriological eradication of Streptococcus pneumoniae remains poorly studied. The present study, using an in vitro pharmacodynamic model, assessed azithromycin activity against macrolide-susceptible and -resistant S. pneumoniae simulating clinically achievable free serum (S), epithelial lining fluid (ELF) and middle ear fluid (MEF) concentrations. Materials and methods: Two macrolide-susceptible [PCR-negative for both mef(A) and erm(B)] and six macrolide-resistant [five mef(A)-positive/erm(B)-negative displaying various degrees of macrolide resistance and one mef(A)-negative/erm(B)-positive] S. pneumoniae were tested. Azithromycin was modelled simulating a dosage of 500 mg/250 mg by mouth, once a day [free S: maximum concentration (Cmax) 0.2 mg/L, t1/2 68 h; free ELF Cmax 1.0 mg/L, t1/2 68 h] and 10 mg/kg by mouth, once a day (free MEF: Cmax 1.0 mg/L, t1/2 68 h) using a one compartment model. Starting inocula were 1 × 106 cfu/mL in Mueller–Hinton broth with 2% lysed horse blood. Sampling at 0, 2, 4, 6, 12, 24 and 48 h assessed the extent of bacterial killing (decrease in log10 cfu/mL versus initial inoculum). Results: Free azithromycin concentrations in serum, ELF and MEF simulating time above the MIC (T \u3e MIC) of 100% [area under the curve to MIC (AUC0–24/MIC] ≥ 36.7] were bactericidal (≥3 log10 killing) at 24 and 48 h versus macrolide-susceptible S. pneumoniae. Against macrolide-resistant S. pneumoniae, free serum concentrations providing T \u3e MIC of 0% or AUC0–24/MIC ≤ 1.1 demonstrated no bacterial inhibition followed by regrowth at 24 and 48 h, whereas free ELF and MEF providing T \u3e MIC of 0% or AUC0–24/MIC of 4.6 produced a bacteriostatic (0.2–0.5 log10 killing at 24 h) effect with a mef(A) strain with an azithromycin MIC of 2 mg/L. Against mef(A)-positive S. pneumoniae strains with azithromycin MICs ≥ 4 mg/L, no bacterial killing occurred at any time point and rapid regrowth was observed simulating ELF or MEF T \u3e MIC of 0% or AUC0–24/MIC ≤ 2.3. Conclusion: Azithromycin serum, ELF and MEF concentrations rapidly eradicated macrolide-susceptible S. pneumoniae but did not eradicate macrolide-resistant S. pneumoniae regardless of resistance phenotype

A description of a tailored knowledge translation intervention delivered by knowledge brokers within public health departments in Canada

BACKGROUND:While there is an expectation to demonstrate evidence-informed public health there is an ongoing need for capacity development. The purpose of this paper is to provide a description of a tailored knowledge translation intervention implemented by knowledge brokers (KBs), and reflections on the factors that facilitated or hindered its implementation. METHODS:The 22-month knowledge translation intervention, implemented by two KBs, sought to facilitate evidence-informed public health decision-making. Data on outcomes were collected using a knowledge, skills and behavioural assessment survey. In addition, the KBs maintained reflective journals noting which activities appeared successful or not, as well as factors related to the individual or the organisation that facilitated or hindered evidence-informed decision-making. RESULTS:Tailoring of the knowledge translation intervention to address the needs, preferences and structure of each organisation resulted in three unique interventions being implemented. A consistent finding across organisations was that each site needed to determine where evidence-informed decision-making 'fit' within pre-existing organisational processes. Components of the intervention consistent across the three organisations included one-to-one mentoring of teams through rapid evidence reviews, large group workshops and regular meetings with senior management. Components that varied included the frequency of the KB being physically onsite, the amount of time staff spent with the KB and proportion of time spent one-to-one with a KB versus in workshops. Key facilitating factors for implementation included strong leadership, influential power of champions, supportive infrastructure, committed resources and staff enthusiasm. CONCLUSIONS:The results of this study illustrate the importance of working collaboratively with organisations to tailor knowledge translation interventions to best meet unique needs, preferences, organisational structures and contexts. Organisational factors such as leadership, champions and supportive infrastructure play a key role in determining the impact of the knowledge translation interventions. Future studies should explore how these factors can be fostered and/or developed within organisations. While KBs implemented the knowledge translation intervention in this study, more research is needed to understand the impact of all change agent roles including KBs, as well as how these roles can be maintained in the long-term if proven effective.Funder: Institute of Population and Public Health; Grant(s): 10186717pubpu