It is challenging to conduct and quickly disseminate findings from in-depth qualitative analyses, which can impede timely implementation of interventions because of its time-consuming methods. To better understand tradeoffs between the need for actionable results and scientific rigor, we present our method for conducting a framework-guided rapid analysis (RA) and a comparison of these findings to an in-depth analysis of interview transcripts.
graphical rapid analysis of structures program free
Set within the context of an evaluation of a successful academic detailing (AD) program for opioid prescribing in the Veterans Health Administration, we developed interview guides informed by the Consolidated Framework for Implementation Research (CFIR) and interviewed 10 academic detailers (clinical pharmacists) and 20 primary care providers to elicit detail about successful features of the program. For the RA, verbatim transcripts were summarized using a structured template (based on CFIR); summaries were subsequently consolidated into matrices by participant type to identify aspects of the program that worked well and ways to facilitate implementation elsewhere. For comparison purposes, we later conducted an in-depth analysis of the transcripts. We described our RA approach and qualitatively compared the RA and deductive in-depth analysis with respect to consistency of themes and resource intensity.
Timeline for conducting rapid and in-depth analysis. Some transcript coding took place as part of CFIR codebook development (i.e., the first 93 days). CFIR Consolidated Framework for Implementation Research
The goals of this paper were to describe our approach to conducting a CFIR-informed RA, assess the consistency of findings from our RA in comparison to an in-depth analysis of the same data, and compare resource intensity of the two analytic approaches. Overall, we found RA to be sufficient for providing our operations partner with actionable findings and recommendations, which was necessary given the relatively short timeline included in the policy mandate for implementation of AD programs throughout the VA.
With respect to consistency of our RA and in-depth analysis findings [14], themes from the RA were well-aligned with the CFIR domains and constructs from the in-depth analysis. Considering the CFIR was embedded throughout the evaluation, including the design of interview guides and indirectly in development of the summary tables, these findings are not entirely unexpected. Upon further reflection, we could have elected to more explicitly incorporate the CFIR constructs into the RA summary tables rather than indirectly through the interview guides, and this may have made RA even faster. This would still be considered a rapid analytic approach, but would have carried the CFIR more transparently throughout the RA portion of the project. Depending on the anticipated uses of similar evaluation data, this may further streamline the method.
Given the complexity of the CFIR (i.e., multiple constructs per domain), rapid analytic methods like ours may be helpful when working with large numbers of interviews where line-by-line coding and analysis may not be possible, and/or when evaluating highly complex interventions where one needs to quickly identify key aspects of implementation. However, careful consideration should be taken prior to adopting this approach to limit the potential for bias and to limit the potential for providing an overly narrow interpretation of the data. It is important to keep in mind that the combination of the strength and frequency of qualitative comments is what helps us understand their relative importance and contributions to our research [20], regardless of whether you are using a rapid or in-depth analytic approach.
Staffing, funding, and other resource constraints make it challenging to rapidly complete and generate valid findings from research and evaluation projects. Delays can impede implementation of innovative programs or interventions when data are needed to monitor, modify, or scale-up, or when policy changes necessitate the need for timely feedback. Our team was charged with providing rapid feedback to implementers of a successful AD program in one VA regional network for dissemination across the VA. To accomplish this, we successfully applied the use of a rapid analytic method.
Achieving balance between the need for actionable results and scientific rigor is challenging. The use of rapid analytic methods for the analysis of data from a process evaluation of a successful AD program proved to be adequate for providing our operations partner with actionable suggestions in a relatively short timeframe.
The command structure in GRASP9 is dramatically changed with the main objective of assisting the user in carrying out analysis whilst ensuring proper convergence in the numerical integration. The familiar get_current command in the Student Edition now always carries out convergence checks, both on field points and on other PO point distributions. If sequences of field storage objects and PO objects are specified, the program will automatically determine the number of PO points necessary for convergence on the given object locations, based on convergence criteria defined by the program. The convergence check is carried out in few, uniformly distributed points, and can usually be performed in very short time.
STAAD undergoes the most demanding quality and testing program. Our procedures follow the requirements of 10CFR Part 50 Appendix B, 10CFR Part 21 and ASME NQA-1, which means STAAD has been approved for use on the design of nuclear power installations. STAAD offers many types of analysis ranging from finite element analysis to more complex seismic analysis.
STAAD is a popular structural analysis application known for advanced analysis, diverse applications of use, interoperability, and time-saving capabilities. STAAD helps structural engineers perform 3D structural analysis and design for both steel and concrete structures. A physical model created in the structural design software can be transformed into an analytical model for structural analysis. Many design code standards are incorporated into STAAD to make sure that the structural design complies with local regulations.
RISA-3D includes a comprehensive CAD-like drawing environment that allows for the efficient creation of even the most complex structures. Utilize powerful graphical selection tools as well as traditional spreadsheet input/editing to make model changes with ease. Start from scratch or import model files to leverage existing geometry.
The demo program and manual are copyrighted to RISA Tech, Inc., but you are free to copy and distribute both the software and manual to anyone you wish, so long as no fee is associated with that distribution.
Each of these programs offers unique capabilities and tools that are tailored to different types of structures and problems, allowing users to find just the right solution for their work. SAP2000 is intended for use on civil structures such as dams, communication towers, stadiums, industrial plants and buildings. CSiBridge offers powerful parametric design of concrete and steel bridges. ETABS has been developed specifically for multi-story commercial and residential building structures, such as office towers, apartments and hospitals. The SAFE System provides an efficient and powerful program for the analysis and design of concrete slabs and foundations, with or without post-tensioning. PERFORM-3D is a highly focused nonlinear tool offering powerful performance based design capabilities.
Computers and Structures, Inc. (CSI) is seeking an experienced developer to join our\r\n development team in Walnut Creek, California where they will be tasked with improving the\r\n graphical display in our line of engineering analysis software, using DirectX or OpenGL. The\r\n chosen candidate shall be highly motivated and have a passion for computer graphics. This\r\n position will include development of new features, as well as improving the existing graphical\r\n display to make the end user experience more enjoyable and easy to use.
CAVER provides rapid, accurate and fully automated calculation of pathways leading from buried cavities to outside solvent in protein structures. Study of these pathways is important in drug design and molecular enzymology.
CAVER is a software tool for analysis and visualization of tunnels and channels in protein structures. Tunnels are void pathways leading from a cavity buried in a protein core to the surrounding solvent. Unlike tunnels, channels lead through the protein structure and their both endings are opened to the surrounding solvent. Studying of these pathways is highly important for drug design and molecular enzymology.
CAVER provides rapid, accurate and fully automated calculation of tunnels and channels in static and dynamic structures. The molecules amendable to analysis of CAVER include proteins, nucleic acids, or inorganic materials.
The software is available as CAVER 3.0 command-line version, CAVER 3.0 PyMol plugin or graphical application CAVER Analyst 1.0. The latest version of CAVER enables the analysis of molecular dynamics simulations. CAVER Analyst allows easy set-up of calculation, visualization of results, and efficient visual analysis of data.
The DRAGEN Platform enables labs of all sizes and disciplines to do more with their genomic data. The DRAGEN Platform uses highly reconfigurable field-programmable gate array technology (FPGA) to provide hardware-accelerated implementations of genomic analysis algorithms, such as BCL conversion, mapping, alignment, sorting, duplicate marking, and haplotype variant calling. DRAGEN ORA lossless genomic compression technology enables significant storage cost savings on FASTQ files. Fundamental features of the DRAGEN Platform address common challenges in genomic analysis, such as lengthy compute times and massive volumes of data.
At Illumina, our goal is to apply innovative technologies to the analysis of genetic variation and function, making studies possible that were not even imaginable just a few years ago. It is mission critical for us to deliver innovative, flexible, and scalable solutions to meet the needs of our customers. As a global company that places high value on collaborative interactions, rapid delivery of solutions, and providing the highest level of quality, we strive to meet this challenge. Illumina innovative sequencing and array technologies are fueling groundbreaking advancements in life science research, translational and consumer genomics, and molecular diagnostics. 2ff7e9595c
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