The Price of Practice Change: Assessing the Cost of Integrating Research Findings Into Clinical Practice.

BACKGROUND: Clinicians, health care administrators, and implementation scientists know that it takes intentional effort, resources, and implementation strategies to integrate research findings into routine clinical practice. An oft-cited concern for those considering whether and how to implement an evidence-based program is how much it will cost to implement the change. Yet information about the cost of implementation is not often available to health care decision-makers. Teams that received Implementation Award funding from PCORI are conducting implementation projects to promote the uptake of evidence-based practices in health care settings. As part of their implementation efforts, a number of teams have examined the costs of implementation. In this Topical Collection, 5 teams will report their findings on implementation costs and discuss their methods for data collection and analysis. DISCUSSION: The teams' costing efforts provide specific information about the costs sites can expect to incur in promoting the uptake of specific evidence-based programs. In addition, the papers illuminate 3 key features of the teams' approaches to measuring the cost of implementation: (1) the use of specific micro-costing methods with time-driven activity-based costing serving as the most popular method; (2) different ways to categorize and organize costs, including a site-based and non-site-based framework; and (3) cost collection challenges experienced by the teams. CONCLUSION: The cost of implementation is a critical consideration for organizations seeking to improve practice in accordance with research findings. This Topical Collection describes detailed approaches to providing this type of cost information and highlights insights to be gained from a rigorous focus on implementation cost.

Quantitative nanoscale analysis of IgE-FcεRI clustering and coupling to early signaling proteins.

Antigen-mediated cross-linking of IgE bound to its receptor, FcεRI, initiates a transmembrane signaling cascade that results in mast cell activation in the allergic response. Using immunogold labeling of intact RBL mast cells and scanning electron microscopy (SEM), we visualize molecular reorganization of IgE-FcεRI and early signaling proteins on both leaflets of the plasma membrane, without the need for ripped off membrane sheets. As quantified by pair correlation analysis, we observe dramatic changes in the nanoscale distribution of IgE-FcεRI after binding of multivalent antigen to stimulate transmembrane signaling, and this is accompanied by similar clustering of Lyn and Syk tyrosine kinases, and adaptor protein LAT. We find that Lyn co-redistributes with IgE-FcεRI into clusters that cross-correlate throughout 20 min of stimulation. Inhibition of tyrosine kinase activity reduces the numbers of both IgE-FcεRI and Lyn in stimulated clusters. Coupling of these proteins is also decreased when membrane cholesterol is reduced either before or after antigen addition. These results provide evidence for involvement of FcεRI phosphorylation and cholesterol-dependent membrane structure in the interactions that accompany IgE-mediated activation of RBL mast cells. More generally, this SEM view of intact cell surfaces provides new insights into the nanoscale organization of receptor-mediated signaling complexes in the plasma membrane.

Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting.

We present an analytical method using correlation functions to quantify clustering in super-resolution fluorescence localization images and electron microscopy images of static surfaces in two dimensions. We use this method to quantify how over-counting of labeled molecules contributes to apparent self-clustering and to calculate the effective lateral resolution of an image. This treatment applies to distributions of proteins and lipids in cell membranes, where there is significant interest in using electron microscopy and super-resolution fluorescence localization techniques to probe membrane heterogeneity. When images are quantified using pair auto-correlation functions, the magnitude of apparent clustering arising from over-counting varies inversely with the surface density of labeled molecules and does not depend on the number of times an average molecule is counted. In contrast, we demonstrate that over-counting does not give rise to apparent co-clustering in double label experiments when pair cross-correlation functions are measured. We apply our analytical method to quantify the distribution of the IgE receptor (FcεRI) on the plasma membranes of chemically fixed RBL-2H3 mast cells from images acquired using stochastic optical reconstruction microscopy (STORM/dSTORM) and scanning electron microscopy (SEM). We find that apparent clustering of FcεRI-bound IgE is dominated by over-counting labels on individual complexes when IgE is directly conjugated to organic fluorophores. We verify this observation by measuring pair cross-correlation functions between two distinguishably labeled pools of IgE-FcεRI on the cell surface using both imaging methods. After correcting for over-counting, we observe weak but significant self-clustering of IgE-FcεRI in fluorescence localization measurements, and no residual self-clustering as detected with SEM. We also apply this method to quantify IgE-FcεRI redistribution after deliberate clustering by crosslinking with two distinct trivalent ligands of defined architectures, and we evaluate contributions from both over-counting of labels and redistribution of proteins.

Cellular responses to patterned poly(acrylic acid) brushes.

We use patterned poly(acrylic acid) (PAA) polymer brushes to explore the effects of surface chemistry and topography on cell-surface interactions. Most past studies of surface topography effects on cell adhesion have focused on patterned feature sizes that are larger than the dimensions of a cell, and PAA brushes have been characterized as cell repellent. Here we report cell adhesion studies for RBL mast cells incubated on PAA brush surfaces patterned with a variety of different feature sizes. We find that when patterned at subcellular dimensions on silicon surfaces, PAA brushes that are 30 or 15 nm thick facilitate cell adhesion. This appears to be mediated by fibronectin, which is secreted by the cells, adsorbing to the brushes and then engaging cell-surface integrins. The result is detectable accumulation of plasma membrane within the brushes, and this involves cytoskeletal remodeling at the cell-surface interface. By decreasing brush thickness, we find that PAA can be 'tuned' to promote cell adhesion with down-modulated membrane accumulation. We exemplify the utility of patterned PAA brush arrays for spatially controlling the activation of cells by modifying brushes with ligands that specifically engage IgE bound to high-affinity receptors on mast cells.