Christopher W. Shanahan

Characteristics of Male Veterans with Psychogenic Nonepileptic Seizures

Summary:  Purpose: To describe male patients (pts) with psychogenic nonepileptic seizures (PNESs) followed up in a Veterans Administration (VA) seizure clinic and to compare them with those with epileptic seizures (ESs) by using clinical, and psychosocial variables.

A transitional opioid program to engage hospitalized drug users

BACKGROUNDMany opioid-dependent patients do not receive care for addiction issues when hospitalized for other medical problems. Based on 3 years of clinical practice, we report the Transitional Opioid Program (TOP) experience using hospitalization as a “reachable moment” to identify and link opioid-dependent persons to addiction treatment from medical care.METHODSA program nurse identified, assessed, and enrolled hospitalized, out-of-treatment opioid-dependent drug users based on their receipt of methadone during hospitalization. At discharge, patients transitioned to an outpatient interim opioid agonist program providing 30-day stabilization followed by 60-day taper. The nurse provided case management emphasizing HIV risk reduction, health education, counseling, and medical follow-up. Treatment outcomes included opioid agonist stabilization then taper or transfer to long-term opioid agonist treatment.RESULTSFrom January 2002 to January 2005, 362 unique hospitalized, opioid-dependent drug users were screened; 56% (n = 203) met eligibility criteria and enrolled into the program. Subsequently, 82% (167/203) presented to the program clinic post-hospital discharge; for 59% (119/203) treatment was provided, for 26% (52/203) treatment was not provided, and for 16% (32/203) treatment was not possible (pursuit of TOP objectives precluded by medical problems, psychiatric issues, or incarceration). Program patients adhered to a spectrum of medical recommendations (e.g., obtaining prescription medications, medical follow-up).CONCLUSIONSThe Transitional Opioid Program (TOP) identified at-risk hospitalized, out-of-treatment opioid-dependent drug users and, by offering a range of treatment intensity options, engaged a majority into addiction treatment. Hospitalization can be a “reachable moment” to engage and link drug users into addiction treatment.

The Impact of a Single Seizure on Health Status and Health Care Utilization

Summary: Purpose: To assess the health status of patients after a single seizure.

Improving Adherence to Long-term Opioid Therapy Guidelines to Reduce Opioid Misuse in Primary Care: A Cluster-Randomized Clinical Trial

Importance Prescription opioid misuse is a national crisis. Few interventions have improved adherence to opioid-prescribing guidelines. Objective To determine whether a multicomponent intervention, Transforming Opioid Prescribing in Primary Care (TOPCARE; http://mytopcare.org/), improves guideline adherence while decreasing opioid misuse risk. Design, Setting, and Participants Cluster-randomized clinical trial among 53 primary care clinicians (PCCs) and their 985 patients receiving long-term opioid therapy for pain. The study was conducted from January 2014 to March 2016 in 4 safety-net primary care practices. Interventions Intervention PCCs received nurse care management, an electronic registry, 1-on-1 academic detailing, and electronic decision tools for safe opioid prescribing. Control PCCs received electronic decision tools only. Main Outcomes and Measures Primary outcomes included documentation of guideline-concordant care (both a patient-PCC agreement in the electronic health record and at least 1 urine drug test [UDT]) over 12 months and 2 or more early opioid refills. Secondary outcomes included opioid dose reduction (ie, 10% decrease in morphine-equivalent daily dose [MEDD] at trial end) and opioid treatment discontinuation. Adjusted outcomes controlled for differing baseline patient characteristics: substance use diagnosis, mental health diagnoses, and language. Results Of the 985 participating patients, 519 were men, and 466 were women (mean [SD] patient age, 54.7 [11.5] years). Patients received a mean (SD) MEDD of 57.8 (78.5) mg. At 1 year, intervention patients were more likely than controls to receive guideline-concordant care (65.9% vs 37.8%; P < .001; adjusted odds ratio [AOR], 6.0; 95% CI, 3.6-10.2), to have a patient-PCC agreement (of the 376 without an agreement at baseline, 53.8% vs 6.0%; P < .001; AOR, 11.9; 95% CI, 4.4-32.2), and to undergo at least 1 UDT (74.6% vs 57.9%; P < .001; AOR, 3.0; 95% CI, 1.8-5.0). There was no difference in odds of early refill receipt between groups (20.7% vs 20.1%; AOR, 1.1; 95% CI, 0.7-1.8). Intervention patients were more likely than controls to have either a 10% dose reduction or opioid treatment discontinuation (AOR, 1.6; 95% CI, 1.3-2.1; P < .001). In adjusted analyses, intervention patients had a mean (SE) MEDD 6.8 (1.6) mg lower than controls (P < .001). Conclusions and Relevance A multicomponent intervention improved guideline-concordant care but did not decrease early opioid refills. Trial Registration clinicaltrials.gov Identifier: NCT01909076

‘Uncrunching’ time: medical schools’ use of social media for faculty development

Purpose The difficulty of attracting attendance for in-person events is a problem common to all faculty development efforts. Social media holds the potential to disseminate information asynchronously while building a community through quick, easy-to-use formats. The authors sought to document creative uses of social media for faculty development in academic medical centers. Method In December 2011, the first author (P.S.C.) examined the websites of all 154 accredited medical schools in the United States and Canada for pages relevant to faculty development. The most popular social media sites and searched for accounts maintained by faculty developers in academic medicine were also visited. Several months later, in February 2012, a second investigator (C.W.S.) validated these data via an independent review. Results Twenty-two (22) medical schools (14.3%) employed at least one social media technology in support of faculty development. In total, 40 instances of social media tools were identified – the most popular platforms being Facebook (nine institutions), Twitter (eight institutions), and blogs (eight institutions). Four medical schools, in particular, have developed integrated strategies to engage faculty in online communities. Conclusions Although relatively few medical schools have embraced social media to promote faculty development, the present range of such uses demonstrates the flexibility and affordability of the tools. The most popular tools incorporate well into faculty members’ existing use of technology and require minimal additional effort. Additional research into the benefits of engaging faculty through social media may help overcome hesitation to invest in new technologies.

Hospital buddy: a persistent emotional support companion agent for hospital patients

The hospital experience can be disempowering and disorientating. Patients are deprived of sleep deprivation and exposed to constant noise, frequent interruptions, an unfamiliar environment filled with changing health professionals and ancillary staff, as well as medications often fraught with physical or psychoactive side-effects. These conditions often lead to discomfort and anxiety, and commonly induce delirium (especially in older adults), a neuropsychiatric condition in patients that results in clinically significant cognitive and perceptional problems. Simultaneously, because patients are usually alone in their rooms until a medical intervention is required they often are bored and starved for personal attention.

A Multicomponent Intervention to Improve Primary Care Provider Adherence to Chronic Opioid Therapy Guidelines and Reduce Opioid Misuse: A Cluster Randomized Controlled Trial Protocol

BACKGROUND Prescription opioid misuse is a significant public health problem as well as a patient safety concern. Primary care providers (PCPs) are the leading prescribers of opioids for chronic pain, yet few PCPs follow standard practice guidelines regarding assessment and monitoring. This cluster randomized controlled trial will determine whether four implementation strategies; nurse care management, use of a patient registry, academic detailing, and electronic tools, will increase PCP adherence to chronic opioid therapy guidelines and reduce opioid misuse among patients, relative to electronic tools alone. The implementation strategies and intervention content are based on the chronic care model. METHODS We include 53 PCPs from three Boston-area community health centers and one urban safety-net hospital-based primary care practice who have at least four patients meeting the following inclusion criteria: 1) age≥18; 2) one or more completed visits to the primary care practice in the past year; 3) long-term opioid treatment defined as three or more opioid prescriptions written at least 21days apart within 6months and 4) an inpatient or outpatient ICD-9-CM diagnosis for musculoskeletal or neuropathic pain. We consider PCPs to be study subjects, and obtained a waiver of informed consent for patients because the study is promoting an established standard of care. We enrolled participants (PCPs) from December 2012 through March 2015. PCPs were randomized to receive the intervention, which includes four components: 1) nurse care management, 2) use of a patient registry, 3) academic detailing, and 4) electronic tools, or a control condition, which includes only the use of the electronic tools. The intervention PCPs receive the services of a nurse-managed registry for planning individual patient care and conducting population-based care for patients receiving opioids for chronic pain. In academic detailing visits, trained co-investigators provide intervention PCPs with individualized education to change prescribing practice. Electronic tools, located on a web site external to the EMR, www.mytopcare.org, include validated instruments to assess patient status, and management resources to facilitate PCP adherence to suggested monitoring. Electronic tools are available to PCPs in both study arms. The primary outcomes are PCP adherence to chronic opioid therapy guidelines and patient opioid misuse. Secondary outcomes include measures of substance abuse, possible opioid diversion, and level of opioid risk among patients. We will follow PCPs and their estimated 1200 chronic pain patients for 1year after study enrollment. To determine whether the intervention condition achieves greater adherence to guidelines and reduced opioid misuse after 1year compared to the control condition, we will compare the baseline and follow-up measures of the individual patients, stratifying by intervention status and noting differences that are statistically significant at the p=0.05 level. Analyses will be based on intent-to-treat. RESULTS Randomization resulted in groups with similar baseline characteristics. The ages of PCPs are evenly distributed, with inclusion of both PCPs who have recently completed training and those who have been in practice for more than 20years. Two-thirds of enrolled PCPs are women, and one-third are non-white. DISCUSSION The study will determine the impact of this multicomponent intervention on improving PCP adherence to guidelines and reducing opioid misuse among patients.

Automated conversation system before pediatric primary care visits: a randomized trial.

BACKGROUND AND OBJECTIVES: Interactive voice response systems integrated with electronic health records have the potential to improve primary care by engaging parents outside clinical settings via spoken language. The objective of this study was to determine whether use of an interactive voice response system, the Personal Health Partner (PHP), before routine health care maintenance visits could improve the quality of primary care visits and be well accepted by parents and clinicians. METHODS: English-speaking parents of children aged 4 months to 11 years called PHP before routine visits and were randomly assigned to groups by the system at the time of the call. Parents’ spoken responses were used to provide tailored counseling and support goal setting for the upcoming visit. Data were transferred to the electronic health records for review during visits. The study occurred in an urban hospital-based pediatric primary care center. Participants were called after the visit to assess (1) comprehensiveness of screening and counseling, (2) assessment of medications and their management, and (3) parent and clinician satisfaction. RESULTS: PHP was able to identify and counsel in multiple areas. A total of 9.7% of parents responded to the mailed invitation. Intervention parents were more likely to report discussing important issues such as depression (42.6% vs 25.4%; P < .01) and prescription medication use (85.7% vs 72.6%; P = .04) and to report being better prepared for visits. One hundred percent of clinicians reported that PHP improved the quality of their care. CONCLUSIONS: Systems like PHP have the potential to improve clinical screening, counseling, and medication management.

Screening for unhealthy alcohol and other drug use by health educators: do primary care clinicians document screening results?

Objectives:Health educators are increasingly being used to deliver preventive care including screening and brief intervention (SBI) for unhealthy substance use (SU) (alcohol or drug). There are few data, however, about the “handoff” of information from health educator to primary care clinician (PCC). Among patients identified with unhealthy SU and counseled by health educators, the objective of this study was to examine (1) the proportion of PCC notes with documentation of SBI and (2) the spectrum of SU not documented by PCCs. Methods:Before the PCC-patient encounter, health educators screened for SU, assessed severity (Alcohol, Smoking, and Substance Involvement Screening Test), and counseled patients. They also conveyed this information to the PCC before the PCC-patient encounter. Researchers reviewed the electronic medical record for PCC documentation of SBI performed by the health educator and/or the PCC. Results:Among patients with the health educator–identified SU, only 69% (342/495) of PCC notes contained documentation of screening by the health educator and/or the PCC. Documentation was found in all encounters with patients with likely dependent SU, but only 62% and 59% of encounters with patients with risky alcohol and drug use, respectively. Documentation of cocaine or heroin use was higher than that of alcohol or marijuana use but still not universal. Although all SU-identified patients had received a brief intervention (from a health educator and possibly a PCC), only 25% of PCC notes contained documentation of a brief intervention. Conclusions:Among patients screened and counseled by health educators for unhealthy SU, SBI was often not documented by PCCs. These results suggest that strategies are needed to integrate SBI by primary care team members to advance the quality of care for patients with unhealthy SU.

Assessing the potential adoption and usefulness of concurrent, action-oriented, electronic adverse drug event triggers designed for the outpatient setting.

Background: Adverse drug event (ADE) detection is an important priority for patient safety research. Trigger tools have been developed to help identify ADEs. In previous work we developed seven concurrent, action-oriented, electronic trigger algorithms designed to prompt clinicians to address ADEs in outpatient care. Objectives: We assessed the potential adoption and usefulness of the seven triggers by testing the positive predictive validity and obtaining stakeholder input. Methods: We adapted ADE triggers, “bone marrow toxin—white blood cell count (BMT-WBC),” “bone marrow toxin - platelet (BMT-platelet),” “potassium raisers,” “potassium reducers,” “creatinine,” “warfarin,” and “sedative hypnotics,” with logic to suppress flagging events with evidence of clinical intervention and applied the triggers to 50,145 patients from three large health care systems. Four pharmacists assessed trigger positive predictive value (PPV) with respect to ADE detection (conservatively excluding ADEs occurring during clinically appropriate care) and clinical usefulness (i.e., whether the trigger alert could change care to prevent harm). We measured agreement between raters using the free kappa and assessed positive PPV for the trigger’s detection of harm, clinical usefulness, and both. Stakeholders from the participating health care systems rated the likelihood of trigger adoption and the perceived ease of implementation. Findings: Agreement between pharmacist raters was moderately high for each ADE trigger (kappa free > 0.60). Trigger PPVs for harm ranged from 0 (Creatinine, BMT-WBC) to 17 percent (potassium raisers), while PPV for care change ranged from 0 (WBC) to 60 percent (Creatinine). Fifteen stakeholders rated the triggers. Our assessment identified five of the seven triggers as good candidates for implementation: Creatinine, BMT-Platelet, Potassium Raisers, Potassium Reducers, and Warfarin. Conclusions: At least five outpatient ADE triggers performed well and merit further evaluation in outpatient clinical care. When used in real time, these triggers may promote care changes to ameliorate patient harm.