Nonadherence to immunosuppressants may play a role in late rejection in liver transplant recipients. In children, emerging data suggest that adherence can be measured by computing the standard deviation (SD) of consecutive blood levels of tacrolimus, resulting in a number that reflects the degree of variability between individual measures (the Medication Level Variability Index, MLVI). A higher MLVI value means erratic immunosuppression, likely due to less adherence. Data on this method in adults are limited. We obtained data from the medical charts of 150 randomly selected adult recipients. The MLVI was significantly higher in patients who had biopsy-confirmed rejection (mean MLVI=3.8, SD=3.2) as compared with the rest of the cohort (mean MLVI=2.3, SD=1.5; p<0.01), and it was significantly higher in patients who had a rejection as compared with patients who had a biopsy that was not read as a rejection (mean MLVI=2.6, SD=1.6; p<0.01). The MLVI was both associated with rejection and predicted its occurrence. A threshold MLVI of 2.0 resulted in 77% sensitivity and 60% specificity in predicting rejection; a threshold of 1.8 resulted in a sensitivity of 92% and specificity of 48%. The Area Under the Curve (AUC) in a Receiver Operating Characteristic (ROC) curve analysis was 0.71 (95% CI: 0.61–0.81). The MLVI is associated with and can predict rejection, possibly related to nonadherence, in adult liver transplant recipients.

ObjectiveFor a health information exchange (HIE) organization to succeed in any given region, it is important to understand the optimal catchment area for the patient population it is serving. The objective of this analysis was to understand the geographical distribution of the patients being served by one HIE organization in New York City (NYC).Materials and MethodsPatient demographic data were obtained from the New York Clinical Information Exchange (NYCLIX), a regional health information organization (RHIO) representing most of the major medical centers in the borough of Manhattan in NYC. Patients’ home address zip codes were used to create a research dataset with aggregate counts of patients by US county and international standards organization country. Times Square was designated as the geographical center point of the RHIO for distance calculations.ResultsMost patients (87.7%) live within a 30 mile radius from Times Square and there was a precipitous drop off of patients visiting RHIO-affiliated facilities at distances greater than 100 miles. 43.6% of patients visiting NYCLIX facilities were from the other NYC boroughs rather than from Manhattan itself (31.9%).DiscussionMost patients who seek care at members of NYCLIX live within a well-defined area and a clear decrease in patients visiting NYCLIX sites with distance was identified. Understanding the geographical distribution of patients visiting the large medical centers in the RHIO can inform the RHIO's planning as it looks to add new participant organizations in the surrounding geographical area.

The aim of this study was to understand home healthcare nurses' current experiences in obtaining outside clinical information at the point of care and the type of clinical information they most desire in their patients' health information exchange profile. A Web-based survey was deployed to home health workers in New York to learn about their experiences retrieving outside clinical data prior to having access to health information exchange, preferred data elements and sources in their patients' health information exchange profiles, and how availability of outside clinical data may affect emergency department referrals. Of the 2383 participants, 566 responded for a 23.8% overall response rate, and 469 of these respondents were RNs. Most RNs, 96.7%, agreed that easier and quicker access to outside information would benefit delivery of care, and 72.6% said the number of emergency department referrals would decrease. When asked about pre-health information exchange access to patient data, 96.3% said it was problematic. Inpatient discharge summaries were chosen most often by the RNs as a top five desired data element 81.5% of the time. Obtaining outside clinical information has been a challenge without health information exchange, but improved access to this information may lead to improved care. Further study is required to assess experiences with the use of health information exchange.

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SummaryObjectives: Emergency physicians are trained to make decisions quickly and with limited patient information. Health Information Exchange (HIE) has the potential to improve emergency care by bringing relevant patient data from non-affiliated organizations to the bedside. NYCLIX (New York CLinical Information eXchange) offers HIE functionality among multiple New York metropolitan area provider organizations and has pilot users in several member emergency departments (EDs). Methods: We conducted semi-structured interviews at three participating EDs with emergency physicians trained to use NYCLIX. Among "users" with > 1 login, responses to questions regarding typical usage scenarios, successful retrieval of data, and areas for improving the interface were recorded. Among "non-users" with ≤1 login, questions about NYCLIX accessibility and utility were asked. Both groups were asked to recall items from prior training regarding data sources and availability. Results: Eighteen NYCLIX pilot users, all board certified emergency physicians, were interviewed. Of the 14 physicians with more than one login, half estimated successful retrieval of HIE data affecting patient care. Four non-users (one login or less) cited forgotten login information as a major reason for non-use. Though both groups made errors, users were more likely to recall true NYCLIX member sites and data elements than non-users. Improvements suggested as likely to facilitate usage included a single automated login to both the ED information system (EDIS) and HIE, and automatic notification of HIE data availability in the EDIS All respondents reported satisfaction with their training. Conclusions: Integrating HIE into existing ED workflows remains a challenge, though a substantial fraction of users report changes in management based on HIE data.