Alert-Triggered Patient Education Versus Nurse Feedback for Nonadministered Venous Thromboembolism Prophylaxis Doses: A Cluster-Randomized Controlled Trial.

Background Many hospitalized patients are not administered prescribed doses of pharmacologic venous thromboembolism prophylaxis. Methods and Results In this cluster-randomized controlled trial, all adult non-intensive care units (10 medical, 6 surgical) in 1 academic hospital were randomized to either a real-time, electronic alert-triggered, patient-centered education bundle intervention or nurse feedback intervention to evaluate their effectiveness for reducing nonadministration of venous thromboembolism prophylaxis. Primary outcome was the proportion of nonadministered doses of prescribed pharmacologic prophylaxis. Secondary outcomes were proportions of nonadministered doses stratified by nonadministration reasons (patient refusal, other). To test our primary hypothesis that both interventions would reduce nonadministration, we compared outcomes pre- versus postintervention within each cohort. Secondary hypotheses were tested comparing the effectiveness between cohorts. Of 11 098 patient visits, overall dose nonadministration declined significantly after the interventions (13.4% versus 9.2%; odds ratio [OR], 0.64 [95% CI, 0.57-0.71]). Nonadministration decreased significantly (P<0.001) in both arms: patient-centered education bundle, 12.2% versus 7.4% (OR, 0.56 [95% CI, 0.48-0.66]), and nurse feedback, 14.7% versus 11.2% (OR, 0.72 [95% CI, 0.62-0.84]). Patient refusal decreased significantly in both arms: patient-centered education bundle, 7.3% versus 3.7% (OR, 0.46 [95% CI, 0.37-0.58]), and nurse feedback, 9.5% versus 7.1% (OR, 0.71 [95% CI, 0.59-0.86]). No differential effect occurred on medical versus surgical units. The patient-centered education bundle was significantly more effective in reducing all nonadministered (P=0.03) and refused doses (P=0.003) compared with nurse feedback (OR, 1.28 [95% CI, 1.0-1.61]; P=0.03 for interaction). Conclusions Information technology strategies like the alert-triggered, targeted patient-centered education bundle, and nurse-focused audit and feedback can improve venous thromboembolism prophylaxis administration. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT03367364.

Handoffs and Teamwork: A Framework for Care Transition Communication.

BACKGROUND: Handoffs occur frequently in the medical domain and are associated with up to 80% of medical errors. Although research has progressed, handoffs largely remain inadequate. The absence of an appropriate conceptual model for handoffs hinders the purposeful design and evaluation of handoff procedures. This article presents a theoretical model of the major input, team process, and output variables that should be considered during a handoff. THEORETICAL MODEL BACKGROUND: The model integrates three theoretical frameworks that capture the various inputs, processes, and outputs surrounding handoff events through the lens of teamwork. OVERVIEW OF THE MODEL: Specifically, the model describes the environment, organization, people, and tools as inputs. Communication, leadership, coordination, and decision making serve as the processes, and the outputs are the organization, teams, providers, and patients.

Systematic Undercoding of Diagnostic Procedures in National Inpatient Sample (NIS): A Threat to Validity Due to Surveillance Bias.

BACKGROUND AND OBJECTIVES: Health services research often relies on readily available data, originally collected for administrative purposes and used for public reporting and pay-for-performance initiatives. We examined the prevalence of underreporting of diagnostic procedures for acute myocardial infarction (AMI), deep venous thrombosis (DVT), and pulmonary embolism (PE), used for public reporting and pay-for-performance initiatives. METHOD: We retrospectively identified procedures for AMI, DVT, and PE in the National Inpatient Sample (NIS) database between 2012 and 2016. From January 1, 2012, through September 30, 2015, the NIS used the International Classification of Diseases, Ninth Revision (ICD-9) coding scheme. From October 1, 2015, through December 31, 2016, the NIS used the International Classification of Diseases, Tenth Revision (ICD-10) coding scheme. We grouped the data by ICD code definitions (ICD-9 or ICD-10) to reflect these code changes and to prevent any confounding or misclassification. In addition, we used survey weighting to examine the utilization of venous duplex ultrasound scan for DVT, electrocardiogram (ECG) for AMI, and chest computed tomography (CT) scan, pulmonary angiography, echocardiography, and nuclear medicine ventilation/perfusion () scan for PE. RESULTS: In the ICD-9 period, by primary diagnosis, only 0.26% (n = 5930) of patients with reported AMI had an ECG. Just 2.13% (n = 7455) of patients with reported DVT had a peripheral vascular ultrasound scan. For patients with PE diagnosis, 1.92% (n = 12 885) had pulmonary angiography, 3.92% (n = 26 325) had CT scan, 5.31% (n = 35 645) had cardiac ultrasound scan, and 0.45% (n = 3025) had scan. In the ICD-10 period, by primary diagnosis, 0.04% (n = 345) of reported AMI events had an ECG and 0.91% (n = 920) of DVT events had a peripheral vascular ultrasound scan. For patients with PE diagnosis, 2.08% (n = 4805) had pulmonary angiography, 0.63% (n = 1460) had CT scan, 1.68% (n = 3890) had cardiac ultrasound scan, and 0.06% (n = 140) had scan. Small proportions of diagnostic procedures were observed for any diagnoses of AMI, DVT, or PE. CONCLUSIONS: Our findings question the validity of using NIS and other administrative databases for health services and outcomes research that rely on certain diagnostic procedures. Unfortunately, the NIS does not provide granular data that can control for differences in diagnostic procedure use, which can lead to surveillance bias. Researchers and policy makers must understand and acknowledge the limitations inherent in these databases, when used for pay-for-performance initiatives and hospital benchmarking.

Application of Human Factors Methods to Ensure Appropriate Infant Identification and Abduction Prevention Within the Hospital Setting.

Infant misidentification and abduction are recognized as "never" events for hospitals in the United States. As near misses are often unreported, root cause analysis of observed near misses may fail to uncover important contributors. We utilized failure mode and effects analysis to proactively identify and eliminate or reduce the risk of infant misidentification or abduction. We prioritized action plans based upon the highest risk priority failures and developed steps to eliminate the gaps in the infant identification process and the security within the Center for Women & Infants. The analysis identified 28 failure modes. Team discussion of the failure modes also yielded several collateral benefits of improvements in the unit climate. We present and discuss the action plans that were undertaken by the hospital to increase patient safety and reduce the risk of infant misidentification and abduction.

Dissecting Communication Barriers in Healthcare: A Path to Enhancing Communication Resiliency, Reliability, and Patient Safety.

ABSTRACT: Suboptimal exchange of information can have tragic consequences to patient's safety and survival. To this end, the Joint Commission lists communication error among the most common attributable causes of sentinel events. The risk management literature further supports this finding, ascribing communication error as a major factor (70%) in adverse events. Despite numerous strategies to improve patient safety, which are rooted in other high reliability industries (e.g., commercial aviation and naval aviation), communication remains an adaptive challenge that has proven difficult to overcome in the sociotechnical landscape that defines healthcare. Attributing a breakdown in information exchange to simply a generic "communication error" without further specification is ineffective and a gross oversimplification of a complex phenomenon. Further dissection of the communication error using root cause analysis, a failure modes and effects analysis, or through an event reporting system is needed. Generalizing rather than categorizing is an oversimplification that clouds clear pattern recognition and thereby prevents focused interventions to improve process reliability. We propose that being more precise when describing communication error is a valid mechanism to learn from these errors. We assert that by deconstructing communication in healthcare into its elemental parts, a more effective organizational learning strategy emerges to enable more focused patient safety improvement efforts. After defining the barriers to effective communication, we then map evidence-based recovery strategies and tools specific to each barrier as a tactic to enhance the reliability and validity of information exchange within healthcare.

Using electronic health record system triggers to target delivery of a patient-centered intervention to improve venous thromboembolism prevention for hospitalized patients: Is there a differential effect by race?

BACKGROUND: Racial disparities are common in healthcare. Venous thromboembolism (VTE) is a leading cause of preventable harm, and disparities observed in prevention practices. We examined the impact of a patient-centered VTE education bundle on the non-administration of preventive prophylaxis by race. METHODS: A post-hoc, subset analysis (stratified by race) of a larger nonrandomized trial. Pre-post comparisons analysis were conducted on 16 inpatient units; study periods were October 2014 through March 2015 (baseline) and April through December 2015 (post-intervention). Patients on 4 intervention units received the patient-centered, nurse educator-led intervention if the electronic health record alerted a non-administered dose of VTE prophylaxis. Patients on 12 control units received no intervention. We compared the conditional odds of non-administered doses of VTE prophylaxis when patient refusal was a reason for non-administration, stratified by race. RESULTS: Of 272 patient interventions, 123 (45.2%) were white, 126 (46.3%) were black, and 23 (8.5%) were other races. A significant reduction was observed in the odds of non-administration of prophylaxis on intervention units compared to control units among patients who were black (OR 0.61; 95% CI, 0.46-0.81, p<0.001), white (OR 0.57; 95% CI, 0.44-0.75, p<0.001), and other races (OR 0.50; 95% CI, 0.29-0.88, p = 0.015). CONCLUSION: Our finding suggests that the patient education materials, developed collaboratively with a diverse group of patients, improved patient's understanding and the importance of VTE prevention through prophylaxis. Quality improvement interventions should examine any differential effects by patient characteristics to ensure disparities are addressed and all patients experience the same benefits.

Framing Egg Donation: A Dichotomous Split.

Reproductive medicine has depended upon the altruistic motivations of women to donate eggs. Donors are lauded for these self-sacrificing actions but are treated as a product during the selection and donation process. This process highlights the contradictory behaviors as evidence to the dichotomous split of the definition of women as "virgins" or "whores," by attracting women to donate as the former and treating them as the latter.

Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage.

BACKGROUND: Electronic health record (EHR) systems contain large volumes of novel heterogeneous data that can be linked to trauma registry data to enable innovative research not possible with either data source alone. OBJECTIVE: This article describes an approach for linking electronically extracted EHR data to trauma registry data at the institutional level and assesses the value of probabilistic linkage. METHODS: Encounter data were independently obtained from the EHR data warehouse (n = 1,632) and the pediatric trauma registry (n = 1,829) at a Level I pediatric trauma center. Deterministic linkage was attempted using nine different combinations of medical record number (MRN), encounter identity (ID) (visit ID), age, gender, and emergency department (ED) arrival date. True matches from the best performing variable combination were used to create a gold standard, which was used to evaluate the performance of each variable combination, and to train a probabilistic algorithm that was separately used to link records unmatched by deterministic linkage and the entire cohort. Additional records that matched probabilistically were investigated via chart review and compared against records that matched deterministically. RESULTS: Deterministic linkage with exact matching on any three of MRN, encounter ID, age, gender, and ED arrival date gave the best yield of 1,276 true matches while an additional probabilistic linkage step following deterministic linkage yielded 110 true matches. These records contained a significantly higher number of boys compared to records that matched deterministically and etiology was attributable to mismatch between MRNs in the two data sets. Probabilistic linkage of the entire cohort yielded 1,363 true matches. CONCLUSION: The combination of deterministic and an additional probabilistic method represents a robust approach for linking EHR data to trauma registry data. This approach may be generalizable to studies involving other registries and databases.

Effect of Real-time Patient-Centered Education Bundle on Administration of Venous Thromboembolism Prevention in Hospitalized Patients.

Importance: Numerous interventions have improved prescription of venous thromboembolism (VTE) prophylaxis; however, many prescribed doses are not administered to hospitalized patients, primarily owing to patient refusal. Objective: To evaluate a real-time, targeted, patient-centered education bundle intervention to reduce nonadministration of VTE prophylaxis. Design, Setting, and Participants: This nonrandomized controlled, preintervention-postintervention comparison trial included 19 652 patient visits on 16 units at The Johns Hopkins Hospital, Baltimore, Maryland, from April 1 through December 31, 2015. Data analysis was performed from June 1, 2016, through November 30, 2017, on an intention-to-treat basis. Interventions: Patients on 4 intervention units received a patient-centered education bundle if a dose of VTE prophylaxis medication was not administered. Patients on 12 control units received no intervention. Main Outcomes and Measures: Conditional odds of nonadministration of doses of VTE prophylaxis (primary outcome) before and after the intervention on control vs intervention units. Reasons for nonadministration (ie, patient refusal and other) and VTE event rates (secondary outcomes) were compared. Results: A total of 19 652 patient visits where at least 1 dose of VTE prophylaxis was prescribed were included (51.7% men; mean [SD] age, 55.6 [17.1] years). Preintervention and postintervention groups were relatively similar in age, sex, race, and medical or surgery unit. From the preintervention period to the postintervention period, on intervention units, the conditional odds of VTE prophylaxis nonadministration declined significantly (9.1% [95% CI, 5.2%-16.2%] vs 5.6% [95% CI, 3.1%-9.9%]; odds ratio [OR], 0.57; 95% CI, 0.48-0.67) compared with no change on control units (13.6% [95% CI, 9.8%-18.7%] vs 13.3% [95% CI, 9.6%-18.5%]; OR, 0.98; 95% CI, 0.91-1.07; P < .001 for interaction). The conditional odds of nonadministration owing to patient refusal decreased significantly on intervention units (5.9% [95% CI, 2.6%-13.6%] vs 3.4% [95% CI, 1.5%-7.8%]; OR, 0.53; 95% CI ,0.43-0.65) compared with no change on control units (8.7% [95% CI, 5.4%-14.0%] vs 8.5% [95% CI, 5.3%-13.8%]; OR, 0.98; 95% CI, 0.89-1.08; P < .001 for interaction). On intervention units, the conditional odds of nonadministration owing to reasons other than patient refusal decreased (2.3% [95% CI, 1.5%-3.4%] vs 1.7% [95% CI, 1.1%-2.6%]; OR, 0.74; 95% CI, 0.58-0.94), with no change on control units (3.4% [95% CI, 2.7%-4.4%] vs 3.3% [95% CI, 2.6%-4.2%]; OR, 0.98; 95% CI, 0.87-1.10; P = .04 for interaction). No differential effect occurred on medical vs surgical units (OR, 0.86; 95% CI, 0.60-1.23; P = .41 for interaction). There was no statistical difference in the proportion of VTE events among patients on intervention vs control units (0.30% vs 0.18%; OR, 0.60; 95% CI, 0.16-2.23). Conclusions and Relevance: In this study, a targeted patient-centered education bundle significantly reduced nonadministration of pharmacologic VTE prophylaxis in hospitalized patients. This novel strategy improves health care quality by leveraging electronic data to target interventions in real time for at-risk patients. Trial Registration: ClinicalTrials.gov Identifier: NCT02402881.