Jason S. Adelman

The impact of the heparin-induced thrombocytopenia (HIT) computerized alert on provider behaviors and patient outcomes

OBJECTIVE The aim of this study was to measure the effect of an electronic heparin-induced thrombocytopenia (HIT) alert on provider ordering behaviors and on patient outcomes. MATERIALS AND METHODS A pop-up alert was created for providers when an individuals platelet values had decreased by 50% or to <100,000/mm(3) in the setting of recent heparin exposure. The authors retrospectively compared inpatients admitted between January 24, 2008 and August 24, 2008 to a control group admitted 1 year prior to the HIT alert. The primary outcome was a change in HIT antibody testing. Secondary outcomes included an assessment of incidence of HIT antibody positivity, percentage of patients started on a direct thrombin inhibitor (DTI), length of stay and overall mortality. RESULTS There were 1006 and 1081 patients in the control and intervention groups, respectively. There was a 33% relative increase in HIT antibody test orders (p=0.01), and 33% more of these tests were ordered the first day after the criteria were met when a pop-up alert was given (p=0.03). Heparin was discontinued in 25% more patients in the alerted group (p=0.01), and more direct thrombin inhibitors were ordered for them (p=0.03). The number who tested HIT antibody-positive did not differ, however, between the two groups (p=0.99). The length of stay and mortality were similar in both groups. CONCLUSIONS The HIT alert significantly impacted provider behaviors. However, the alert did not result in more cases of HIT being detected or an improvement in overall mortality. Our findings do not support implementation of a computerized HIT alert.

Improving hospital venous thromboembolism prophylaxis with electronic decision support

BACKGROUND Venous thromboembolism (VTE) disease prophylaxis rates among medical inpatients have been noted to be <50%. OBJECTIVE Our objective was to evaluate the effectiveness and safety of a computerized decision support application to improve VTE prophylaxis. DESIGN Observational cohort study. SETTING Academic medical center. PATIENTS Adult inpatients on hospital medicine and nonmedicine services. INTERVENTION A decision support application designed by a quality improvement team was implemented on medicine services in September 2009. MEASUREMENTS Effectiveness and safety parameters were compared on medicine services and nonmedicine (nonimplementation) services for 6-month periods before and after implementation. Effectiveness was evaluated by retrospective information system queries for rates of any VTE prophylaxis, pharmacologic VTE prophylaxis, and hospital-acquired VTE incidence. Safety was evaluated by queries for bleeding and thrombocytopenia rates. RESULTS Medicine service overall VTE prophylaxis increased from 61.9% to 82.1% (P < 0.001), and pharmacologic VTE prophylaxis increased from 59.0% to 74.5% (P < 0.001). Smaller but significant increases were observed on nonmedicine services. Hospital-acquired VTE incidence on medicine services decreased significantly from 0.65% to 0.42% (P = 0.008) and nonsignificantly on nonmedicine services. Bleeding rates increased from 2.9% to 4.0% (P < 0.001) on medicine services and from 7.7% to 8.6% (P = 0.043) on nonmedicine services, with nonsignificant changes in thrombocytopenia rates observed on both services. CONCLUSIONS An electronic decision support application on inpatient medicine services can significantly improve VTE prophylaxis and hospital-acquired VTE rates with a reasonable safety profile.

Use of Temporary Names for Newborns and Associated Risks

BACKGROUND: Because there can be no delay in providing identification wristbands to newborns, some hospitals assign newborns temporary first names such as Babyboy or Babygirl. These nondistinct naming conventions result in a large number of patients with similar identifiers in NICUs. To determine the level of risk associated with nondistinct naming conventions, we performed an intervention study to evaluate if assigning distinct first names at birth would result in a reduction in wrong-patient errors. METHODS: We conducted a 2-year before/after implementation study to examine the effect of a distinct naming convention that incorporates the mother’s first name into the newborn’s first name (eg, Wendysgirl) on the incidence of wrong-patient errors. We used the Retract-and-Reorder (RAR) tool, an established, automated tool for detecting the outcome of wrong-patient electronic orders. The RAR tool identifies orders placed on a patient that are retracted within 10 minutes and then placed by the same clinician on a different patient within the next 10 minutes. RESULTS: The reduction in RAR events post- versus preintervention was 36.3%. After accounting for clusters of orders within order sessions, the odds ratio of an RAR event post- versus preintervention was 0.64 (95% confidence interval: 0.42–0.97). CONCLUSIONS: The study results suggest that nondistinct naming conventions are associated with an increased risk of wrong-patient errors and that this risk can be mitigated by changing to a more distinct naming convention.

Iterative user centered design for development of a patient-centered fall prevention toolkit

Due to the large number of falls that occur in hospital settings, inpatient fall prevention is a topic of great interest to patients and health care providers. The use of electronic decision support that tailors fall prevention strategy to patient-specific risk factors, known as Fall T.I.P.S (Tailoring Interventions for Patient Safety), has proven to be an effective approach for decreasing hospital falls. A paper version of the Fall T.I.P.S toolkit was developed primarily for hospitals that do not have the resources to implement the electronic solution; however, more work is needed to optimize the effectiveness of the paper version of this tool. We examined the use of human factors techniques in the redesign of the existing paper fall prevention tool with the goal of increasing ease of use and decreasing inpatient falls. The inclusion of patients and clinical staff in the redesign of the existing tool was done to increase adoption of the tool and fall prevention best practices. The redesigned paper Fall T.I.P.S toolkit showcased a built in clinical decision support system and increased ease of use over the existing version.

Effectiveness across modalities of an evidence-based fall prevention toolkit for engaging patients and family in the three-step fall prevention process (Preprint)

Background Patient falls are a major problem in hospitals. The development of a Patient-Centered Fall Prevention Toolkit, Fall TIPS (Tailoring Interventions for Patient Safety), reduced falls by 25% in acute care hospitals by leveraging health information technology to complete the 3-step fall prevention process—(1) conduct fall risk assessments; (2) develop tailored fall prevention plans with the evidence-based interventions; and (3) consistently implement the plan. We learned that Fall TIPS was most effective when patients and family were engaged in all 3 steps of the fall prevention process. Over the past decade, our team developed 3 Fall TIPS modalities—the original electronic health record (EHR) version, a laminated paper version that uses color to provide clinical decision support linking patient-specific risk factors to the interventions, and a bedside display version that automatically populates the bedside monitor with the patients’ fall prevention plan based on the clinical documentation in the EHR. However, the relative effectiveness of each Fall TIPS modality for engaging patients and family in the 3-step fall prevention process remains unknown. Objective This study aims to examine if the Fall TIPS modality impacts patient engagement in the 3-step fall prevention process and thus Fall TIPS efficacy. Methods To assess patient engagement in the 3-step fall prevention process, we conducted random audits with the question, “Does the patient/family member know their fall prevention plan?” In addition, audits were conducted to measure adherence, defined by the presence of the Fall TIPS poster at the bedside. Champions from 3 hospitals reported data from April to June 2017 on 6 neurology and 7 medical units. Peer-to-peer feedback to reiterate the best practice for patient engagement was central to data collection. Results Overall, 1209 audits were submitted for the patient engagement measure and 1401 for the presence of the Fall TIPS poster at the bedside. All units reached 80% adherence for both measures. While some units maintained high levels of patient engagement and adherence with the poster protocol, others showed improvement over time, reaching clinically significant adherence (>80%) by the final month of data collection. Conclusions Each Fall TIPS modality effectively facilitates patient engagement in the 3-step fall prevention process, suggesting all 3 can be used to integrate evidence-based fall prevention practices into the clinical workflow. The 3 Fall TIPS modalities may prove an effective strategy for the spread, allowing diverse institutions to choose the modality that fits with the organizational culture and health information technology infrastructure.