Physicians’ Perceptions of Facilitators and Barriers in Electronic Health Record Education

A significant focus in health care is quality documentation to lower patient safety risks. The local problem at a healthcare organization in the northeastern United States is that some physicians are falling short with quality documentation of patient care in athenaNet, a cloud-based electronic health record (EHR). This qualitative case study was conducted to explore physicians\u27 perceptions of the facilitators and barriers that impact the educational process for quality documentation in EHRs. Attention also focused on identifying physicians\u27 recommendations for enhancing the educational process for quality documentation. Knowles’ adult learning theory served as the conceptual framework. Purposeful sampling was used to select participants who had a minimum of 5 years’ experience as a physician and had worked with multiple EHRs in the past. Individual interviews with 11 physicians were supplemented with review of documents in athenaNet on milestones in physician documentation. Data analysis included coding of interview transcripts and information from documents to identify common themes: (a) preparation for implementation, (b) specialty-specific training, (c) hands-on practice, (d) time limitations on completing training, (e) preparedness for EHR go-live, and (f) additional training resources. Findings of the study were used to develop a white paper to increase the quality of the documentation entered into an EHR, and to lower patient safety risks through more effective continuing education. The study contributes to positive social change through modifications to the current training methodology for the EHR as a solution to assisting physicians to complete quality documentation

The stability of the ADO score among UK COPD patients from The Health Improvement Network

The ADO (age, dyspnoea, airflow obstruction) score predicts 3-year overall mortality among chronic obstructive pulmonary disease (COPD) patients. Information on the changes in COPD prognostic scores is sparse and it is unclear if the ADO score should be measured serially. We followed 4804 UK COPD patients with three or more ADO measurements from The Health Improvement Network (2005-2014) in a retrospective open cohort design. Patient's ADO scores were calculated once per year unless an obstruction or dyspnoea measurement was missing. Cox regression models assessed the independent role of serial ADO scores on mortality. The associations between baseline patient characteristics and long-term change in ADO scores were assessed using linear mixed effect models. Fewer than 7% of patients had worsened (i.e. increased) by ≥1 point per year after a median follow-up of 4.4 years. There was strong evidence that patients with more rapid worsening in ADO scores had increased mortality (hazard ratio 2.00 (95% CI 1.59-2.52) per 1 point increase in ADO per year). More rapid ADO score worsening was seen among current smokers (rate difference 0.059 (95% CI 0.031-0.087); p=0.001) and ex-smokers (0.028 (95% CI 0.003-0.054); p=0.032) and patients with depression (0.038 (95% CI 0.005-0.071); p=0.022), while overweight (-0.0347 (95% CI -0.0544- -0.0150); p=0.001) and obese (-0.0412 (95% CI -0.0625- -0.0198); p<0.001) patients had a less rapid ADO score worsening. Serial assessment of the ADO score can identify patients with worsening disease and update their prognosis, especially for patients who smoke, are depressed or have lower body mass index

The stability of the ADO score among UK COPD patients from The Health Improvement Network

The ADO (age, dyspnoea, airflow obstruction) score predicts 3-year overall mortality among chronic obstructive pulmonary disease (COPD) patients. Information on the changes in COPD prognostic scores is sparse and it is unclear if the ADO score should be measured serially. We followed 4804 UK COPD patients with three or more ADO measurements from The Health Improvement Network (2005-2014) in a retrospective open cohort design. Patient's ADO scores were calculated once per year unless an obstruction or dyspnoea measurement was missing. Cox regression models assessed the independent role of serial ADO scores on mortality. The associations between baseline patient characteristics and long-term change in ADO scores were assessed using linear mixed effect models. Fewer than 7% of patients had worsened (i.e. increased) by ≥1 point per year after a median follow-up of 4.4 years. There was strong evidence that patients with more rapid worsening in ADO scores had increased mortality (hazard ratio 2.00 (95% CI 1.59-2.52) per 1 point increase in ADO per year). More rapid ADO score worsening was seen among current smokers (rate difference 0.059 (95% CI 0.031-0.087); p=0.001) and ex-smokers (0.028 (95% CI 0.003-0.054); p=0.032) and patients with depression (0.038 (95% CI 0.005-0.071); p=0.022), while overweight (-0.0347 (95% CI -0.0544- -0.0150); p=0.001) and obese (-0.0412 (95% CI -0.0625- -0.0198); p<0.001) patients had a less rapid ADO score worsening. Serial assessment of the ADO score can identify patients with worsening disease and update their prognosis, especially for patients who smoke, are depressed or have lower body mass index

External Validation Of The Updated ADO Score In COPD Patients From The Birmingham COPD Cohort.

Background Reviews suggest that the ADO score is the most discriminatory prognostic score for predicting mortality among chronic obstructive pulmonary disease (COPD) patients, but a full evaluation and external validation within primary care settings is critical before implementation. Objectives To validate the ADO score in prevalent and screen-detected primary care COPD cases at 3 years and at shorter time periods. Patients and methods One thousand eight hundred and ninety-two COPD cases were recruited between 2012 and 2014 from 71 United Kingdom general practices as part of the Birmingham COPD Cohort study. Cases were either on the practice COPD register or screen-detected. We validated the ADO score for predicting 3-year mortality with 1-year and 2-year mortality as secondary endpoints using discrimination (area-under-the-curve (AUC)) and calibration plots. Results One hundred and fifty-four deaths occurred within 3 years. The ADO score was discriminatory for predicting 3-year mortality (AUC= 0.74; 95% CI: 0.69-0.79). Similar performance was found for 1- (AUC= 0.73; 0.66-0.80) and 2-year mortality (0.72; 0.67-0.76). The ADO score showed reasonable calibration for predicting 3-year mortality (calibration slope 0.95; 0.70-1.19) but over-predicted in cases with higher predicted risks of mortality at 1 (0.79; 0.45-1.13) and 2-year (0.79; 0.57-1.01) mortality. Discussion The ADO score showed promising discrimination in predicting 3-year mortality in a primary care population including screen-detected cases. It may need to be recalibrated if it is used to provide risk predictions for 1- or 2-year mortality since, in these time-periods, over-prediction was evident, especially in cases with higher predicted mortality risks

Local connectivity and synaptic dynamics in mouse and human neocortex.

We present a unique, extensive, and open synaptic physiology analysis platform and dataset. Through its application, we reveal principles that relate cell type to synaptic properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap. Synaptic properties are heterogeneous in most subclass-to-subclass connections. The two main axes of heterogeneity are strength and variability. Cell subclasses divide along the variability axis, whereas the strength axis accounts for substantial heterogeneity within the subclass. In the human cortex, excitatory-to-excitatory synaptic dynamics are distinct from those in the mouse cortex and vary with depth across layers 2 and 3

Morphoelectric and transcriptomic divergence of the layer 1 interneuron repertoire in human versus mouse neocortex

Neocortical layer 1 (L1) is a site of convergence between pyramidal-neuron dendrites and feedback axons where local inhibitory signaling can profoundly shape cortical processing. Evolutionary expansion of human neocortex is marked by distinctive pyramidal neurons with extensive L1 branching, but whether L1 interneurons are similarly diverse is underexplored. Using Patch-seq recordings from human neurosurgical tissue, we identified four transcriptomic subclasses with mouse L1 homologs, along with distinct subtypes and types unmatched in mouse L1. Subclass and subtype comparisons showed stronger transcriptomic differences in human L1 and were correlated with strong morphoelectric variability along dimensions distinct from mouse L1 variability. Accompanied by greater layer thickness and other cytoarchitecture changes, these findings suggest that L1 has diverged in evolution, reflecting the demands of regulating the expanded human neocortical circuit.</p