Implementation fidelity of patient-centered prescription label to promote opioid safe use.

PURPOSE: Patient-centered labels may improve safe medication use, but implementation challenges limit use. We assessed implementation of a patient-centered "PRN" (as needed) label entitled "Take-Wait-Stop" (TWS) with three deconstructed steps replacing traditional wording. METHODS: As part of a larger investigation, patients received TWS prescriptions (eg, Take: 1 pill if you have pain; Wait: at least 4 h before taking again; Stop: do not take more than 6 pills in 24 h). Prescriptions labels recorded at follow-up were classified into three categories: (1) one-step wording (Take 1 pill every 4 h [without daily limits]), (2) two-step wording (Take 1 pill every 4 h; do not exceed 6 pills/day), and (3) three-step wording. There were three subtypes of three-step wording: (3a) three-step, not TWS (three deconstructed steps, not necessarily TWS wording), (3b) TWS format, employing three steps with leading verbs, but "with additions or replacements" (eg, replaced "do not take" with "do not exceed"), and (3c) verbatim TWS. RESULTS: Two hundred eleven participants completed follow-up. Mean age was 44.3 years (SD 14.3); 44% were male. One-step bottles represented 12% (n = 25) of the sample, whereas 26% (n = 55) had two-step wording. The majority (44%, n = 93) had three-deconstructed steps, not TWS (3a); 16% (n = 34) retained TWS structure, but not verbatim (3b). Only 2% (n = 4) displayed verbatim TWS wording (3c). All category three labels (utilizing deconstructed instructions) were considered adequate implementation (62%). CONCLUSIONS: Exact intervention adherence was not achieved in the majority of cases, limiting impact. Nonetheless, community pharmacies were responsive to new instructions, but higher implementation reliability requires additional supports.

Potentially Inappropriate Medication Prescriptions for Older Adults with Painful Conditions and Association with Return Emergency Department Visits.

OBJECTIVES: To describe the frequency and risk of return visit to the emergency department (ED) by older adults after prescription of any of four potentially inappropriate medication (PIM) classes included in the 2015 Beers Criteria commonly used for the relief of acute pain in the ED. DESIGN: Retrospective cohort study. SETTING: Large urban academic ED from January 1, 2013, to December 31, 2015. PARTICIPANTS: Patients age 65 and older discharged from the ED with an initial pain score of 1 or higher (11 822 visits). MEASUREMENTS: Prescriptions for PIM classes were collected from the medical record: nonsteroidal anti-inflammatory drugs (NSAIDs), benzodiazepines, skeletal muscle relaxants, and opioids. The proportion of patients with ED returns within 9 days were compared by medication class and pain severity (mild, moderate, or severe). Multivariable logistic regression was performed for each pain category to determine adjusted odds ratios (aORs) of ED return. RESULTS: Of 11 822 included patients, PIMs were prescribed in 3392 (28.7%): 2550 (21.6%) opioids, 826 (7.0%) NSAIDs, 277 (2.3%) benzodiazepines, and 68 (0.6%) nonbenzodiazepine skeletal muscle relaxants. Total 9-day ED returns were 1125 (9.5%): mild 7.0%, moderate 8.3%, and severe pain 11.7%. Opioids were not associated with more frequent ED returns for mild or moderate pain, and they were associated with less frequent ED returns for severe pain (9.2% vs 12.7%; p < .001; aOR 0.69; 95% confidence interval [CI] = 0.54-0.87). Benzodiazepines were associated with more frequent ED returns for patients with moderate pain (15.5% vs 8.2%; p < .01; aOR = 2.01; 95%CI = 1.10-3.70). CONCLUSIONS: These results are consistent with recommendations to limit benzodiazepine prescriptions for older adults and that among older adults with severe pain, opioid prescribing is associated with less frequent ED visits within 9 days of discharge. However, this study was not designed to evaluate safety, adverse events, or other important patient-centered outcomes. J Am Geriatr Soc 67:719-725, 2019.

A Multifaceted Intervention to Improve Patient Knowledge and Safe Use of Opioids: Results of the ED EMC2 Randomized Controlled Trial.

OBJECTIVES: Despite increased focus on opioid prescribing, little is known about the influence of prescription opioid medication information given to patients in the emergency department (ED). The study objective was to evaluate the effect of an Electronic Medication Complete Communication (EMC2 ) Opioid Strategy on patients' safe use of opioids and knowledge about opioids. METHODS: This was a three-arm prospective, randomized controlled pragmatic trial with randomization occurring at the physician level. Consecutive discharged patients at an urban academic ED (>88,000 visits) with new hydrocodone-acetaminophen prescriptions received one of three care pathways: 1) usual care, 2) EMC2 intervention, or 3) EMC2  + short message service (SMS) text messaging. The ED EMC2 intervention triggered two patient-facing educational tools (MedSheet, literacy-appropriate prescription wording [Take-Wait-Stop]) and three provider-facing reminders to counsel (directed to ED physician, dispensing pharmacist, follow-up physician). Patients in the EMC2  + SMS arm additionally received one text message/day for 1 week. Follow-up at 1 to 2 weeks assessed "demonstrated safe use" (primary outcome). Secondary outcomes including patient knowledge and actual safe use (via medication diaries) were assessed 2 to 4 days and 1 month following enrollment. RESULTS: Among the 652 enrolled, 343 completed follow-up (57% women; mean ± SD age = 42 ± 14.0 years). Demonstrated safe opioid use occurred more often in the EMC2 group (adjusted odds ratio [aOR] = 2.46, 95% confidence interval [CI] = 1.19 to 5.06), but not the EMC2  + SMS group (aOR = 1.87, 95% CI = 0.90 to 3.90) compared with usual care. Neither intervention arm improved medication safe use as measured by medication diary data. Medication knowledge, measured by a 10-point composite knowledge score, was greater in the EMC2  + SMS group (ß = 0.57, 95% CI = 0.09 to 1.06) than usual care. CONCLUSIONS: The study found that the EMC2 tools improved demonstrated safe dosing, but these benefits did not translate into actual use based on medication dairies. The text-messaging intervention did result in improved patient knowledge.

Electronic medication complete communication strategy for opioid prescriptions in the emergency department: Rationale and design for a three-arm provider randomized trial.

BACKGROUND: Thousands of people die annually from prescription opioid overdoses; however there are few strategies to ensure patients receive medication risk information at the time of prescribing. OBJECTIVES: To compare the effectiveness of the Emergency Department (ED) Electronic Medication Complete Communication (EMC2) Opioid Strategy (with and without text messaging) to promote safe medication use and improved patient knowledge as compared to usual care. METHODS: The ED EMC2 Opioid Strategy consists of 5 automated components to promote safe medication use: 1) physician reminder to counsel, 2) inbox message sent on to the patient's primary care physician, 3) pharmacist message on the prescription to counsel, 4) MedSheet supporting prescription information, and 5) patient-centered Take-Wait-Stop wording of prescription instructions. This strategy will be assessed both with and without the addition of text messages via a three-arm randomized trial. The study will take place at an urban academic ED (annual volume>85,000) in Chicago, IL. Patients being discharged with a new prescription for hydrocodone-acetaminophen will be enrolled and randomized (based on their prescribing physician). The primary outcome of the study is medication safe use as measured by a demonstrated dosing task. Additionally actual safe use, patient knowledge and provider counseling will be measured. Implementation fidelity as well as costs will be reported. CONCLUSIONS: The ED EMC2 Opioid Strategy embeds a risk communication strategy into the electronic health record and promotes medication counseling with minimal workflow disruption. This trial will evaluate the strategy's effectiveness and implementation fidelity as compared to usual care. TRIAL REGISTRATION: This trial is registered on clinicaltrials.gov with identifier NCT02431793.

An Outcome-Weighted Network Model for Characterizing Collaboration.

Shared patient encounters form the basis of collaborative relationships, which are crucial to the success of complex and interdisciplinary teamwork in healthcare. Quantifying the strength of these relationships using shared risk-adjusted patient outcomes provides insight into interactions that occur between healthcare providers. We developed the Shared Positive Outcome Ratio (SPOR), a novel parameter that quantifies the concentration of positive outcomes between a pair of healthcare providers over a set of shared patient encounters. We constructed a collaboration network using hospital emergency department patient data from electronic health records (EHRs) over a three-year period. Based on an outcome indicating patient satisfaction, we used this network to assess pairwise collaboration and evaluate the SPOR. By comparing this network of 574 providers and 5,615 relationships to a set of networks based on randomized outcomes, we identified 295 (5.2%) pairwise collaborations having significantly higher patient satisfaction rates. Our results show extreme high- and low-scoring relationships over a set of shared patient encounters and quantify high variability in collaboration between providers. We identified 29 top performers in terms of patient satisfaction. Providers in the high-scoring group had both a greater average number of associated encounters and a higher percentage of total encounters with positive outcomes than those in the low-scoring group, implying that more experienced individuals may be able to collaborate more successfully. Our study shows that a healthcare collaboration network can be structurally evaluated to characterize the collaborative interactions that occur between healthcare providers in a hospital setting.

Characterizing Teamwork in Cardiovascular Care Outcomes: A Network Analytics Approach.

BACKGROUND: The nature of teamwork in healthcare is complex and interdisciplinary, and provider collaboration based on shared patient encounters is crucial to its success. Characterizing the intensity of working relationships with risk-adjusted patient outcomes supplies insight into provider interactions in a hospital environment. METHODS AND RESULTS: We extracted 4 years of patient, provider, and activity data for encounters in an inpatient cardiology unit from Northwestern Medicine's Enterprise Data Warehouse. We then created a provider-patient network to identify healthcare providers who jointly participated in patient encounters and calculated satisfaction rates for provider-provider pairs. We demonstrated the application of a novel parameter, the shared positive outcome ratio, a measure that assesses the strength of a patient-sharing relationship between 2 providers based on risk-adjusted encounter outcomes. We compared an observed collaboration network of 334 providers and 3453 relationships to 1000 networks with shared positive outcome ratio scores based on randomized outcomes and found 188 collaborative relationships between pairs of providers that showed significantly higher than expected patient satisfaction ratings. A group of 22 providers performed exceptionally in terms of patient satisfaction. Our results indicate high variability in collaboration scores across the network and highlight our ability to identify relationships with both higher and lower than expected scores across a set of shared patient encounters. CONCLUSIONS: Satisfaction rates seem to vary across different teams of providers. Team collaboration can be quantified using a composite measure of collaboration across provider pairs. Tracking provider pair outcomes over a sufficient set of shared encounters may inform quality improvement strategies such as optimizing team staffing, identifying characteristics and practices of high-performing teams, developing evidence-based team guidelines, and redesigning inpatient care processes.

Screening for Fall Risks in the Emergency Department: A Novel Nursing-Driven Program.

INTRODUCTION: Seniors represent the fasting growing population in the U.S., accounting for 20.3 million visits to emergency departments (EDs) annually. The ED visit can provide an opportunity for identifying seniors at high risk of falls. We sought to incorporate the Timed Up & Go Test (TUGT), a commonly used falls screening tool, into the ED encounter to identify seniors at high fall risk and prompt interventions through a geriatric nurse liaison (GNL) model. METHODS: Patients aged 65 and older presenting to an urban ED were evaluated by a team of ED nurses trained in care coordination and geriatric assessment skills. They performed fall risk screening with the TUGT. Patients with abnormal TUGT results could then be referred to physical therapy (PT), social work or home health as determined by the GNL. RESULTS: Gait assessment with the TUGT was performed on 443 elderly patients between 4/1/13 and 5/31/14. A prior fall was reported in 37% of patients in the previous six months. Of those screened with the TUGT, 368 patients experienced a positive result. Interventions for positive results included ED-based PT (n=63, 17.1%), outpatient PT referrals (n=56, 12.2%) and social work consultation (n=162, 44%). CONCLUSION: The ED visit may provide an opportunity for older adults to be screened for fall risk. Our results show ED nurses can conduct the TUGT, a validated and time efficient screen, and place appropriate referrals based on assessment results. Identifying and intervening on high fall risk patients who visit the ED has the potential to improve the trajectory of functional decline in our elderly population.

Geriatric emergency department innovations: preliminary data for the geriatric nurse liaison model.

Older adults account for a large and growing segment of the emergency department (ED) population. They are often admitted to the hospital for nonurgent conditions such as dementia, impaired functional status, and gait instability. The aims of this geriatric ED innovations (GEDI) project were to develop GEDI nurse liaisons by training ED nurses in geriatric assessment and care coordination skills, describe characteristics of patients that these GEDI nurse liaisons see, and measure the admission rate of these patients. Four ED nurses participated in the GEDI training program, which consisted of 82 hours of clinical rotations in geriatrics and palliative medicine, 82 hours of didactics, and a pilot phase for refinement of the GEDI consultation process. Individuals were eligible for GEDI consultation if they had an Identification of Seniors At Risk (ISAR) score greater than 2 or at ED clinician request. GEDI consultation was available Monday through Friday from 9:00 a.m. to 8:00 p.m. An extensive database was set up to collect clinical outcomes data for all older adults in the ED before and after GEDI implementation. The liaisons underwent training from January through March 2013. From April through August 2013, 408 GEDI consultations were performed in 7,213 total older adults in the ED (5.7%, 95% confidence interval (CI) = 5.2-6.2%), 2,124 of whom were eligible for GEDI consultation (19.2%, 95% CI = 17.6-20.9%); 34.6% (95% CI = 30.1-39.3%) received social work consultation, 43.9% (95% CI = 39.1-48.7) received pharmacy consultation, and more than 90% received telephone follow-up. The admission rate for GEDI patients was 44.9% (95% CI = 40.1-49.7), compared with 60.0% (95% CI = 58.8-61.2) non-GEDI. ED nurses undergoing a 3-month training program can develop geriatric-specific assessment skills. Implementation of these skills in the ED may be associated with fewer admissions of older adults.