Improving the Delivery of Chronic Opioid Therapy Among People Living With Human Immunodeficiency Virus: A Cluster Randomized Clinical Trial.

BACKGROUND: Chronic pain is prevalent among people living with human immunodeficiency virus (PLWH); managing pain with chronic opioid therapy (COT) is common. Human immunodeficiency virus (HIV) providers often diverge from prescribing guidelines. METHODS: This 2-arm, unblinded, cluster-randomized clinical trial assessed whether the Targeting Effective Analgesia in Clinics for HIV (TEACH) intervention improves guideline-concordant care compared to usual care for PLWH on COT. The trial was implemented from 2015 to 2018 with 12-month follow-up at safety-net hospital-based HIV clinics in Boston and Atlanta. We enrolled 41 providers and their 187 patients on COT. Prescribers were randomized 1:1 to either a 12-month intervention consisting of a nurse care manager with an interactive electronic registry, opioid education, academic detailing, and access to addiction specialists or a control condition consisting of usual care. Two primary outcomes were assessed through electronic medical records: ≥2 urine drug tests and any early COT refills by 12 months. Other outcomes included possible adverse consequences. RESULTS: At 12 months, the TEACH intervention arm had higher odds of ≥2 urine drug tests than the usual care arm (71% vs 20%; adjusted odds ratio [AOR], 13.38 [95% confidence interval {CI}, 5.85-30.60]; P < .0001). We did not detect a statistically significant difference in early refills (22% vs 30%; AOR, 0.55 [95% CI, .26-1.15]; P = .11), pain severity (6.30 vs 5.76; adjusted mean difference, 0.10 [95% CI, -1.56 to 1.75]; P = .91), or HIV viral load suppression (86.9% vs 82.1%; AOR, 1.21 [95% CI, .47-3.09]; P = .69). CONCLUSIONS: TEACH is a promising intervention to improve adherence to COT guidelines without evident adverse consequences.

Provider opioid prescribing practices and the belief that opioids keep people living with HIV engaged in care: a cross-sectional study.

We describe HIV providers' opioid prescribing practices and assess whether belief that chronic opioid therapy (COT) keeps people living with HIV (PLWH) engaged in care is associated with differences in these practices among providers from two HIV clinics. We conducted logistic regression to evaluate the association between the belief that COT keeps PLWH engaged in care and at least one component of guideline-recommended care (i.e., urine drug tests, treatment agreements, and/or prescription monitoring program use). The sample included 41 providers with a median age of 42 years, 63% female, 37% non-white. Routine adherence to guideline-recommended practices was: 34% urine drug tests, 27% treatment agreements, and 17% prescription monitoring program. Over half [54%] agreed that COT keeps PLWH engaged in care. There was no significant association between belief that COT keeps PLWH engaged in care and routinely providing any recommended COT care component (aOR 2.38; 95% CI 0.65-8.73). Most HIV providers do not routinely follow guidelines for opioid prescribing. We observed a positive association between belief that COT keeps PLWH engaged in care and following any guideline-recommended prescribing practices, although the result was not statistically significant. Interventions are needed to improve guideline-concordant care for COT by HIV providers.

What do providers want to know about opioid prescribing? A qualitative analysis of their questions.

BACKGROUND: In 2012, the US Food and Drug Administration (FDA) responded to the opioid crisis with a Risk Evaluation and Mitigation Strategy, requiring manufacturers of extended-release/long-acting opioids to fund continuing medical education based on the "FDA Blueprint for Prescriber Education." Topics in the Blueprint are "Assessing Patients for Treatment," "Initiating Therapy, Modifying Dosing, and Discontinuing Use," "Managing Therapy," "Counseling Patients and Caregivers about Safe Use," "General Drug Information," and "Specific Drug Information." Based on the FDA Blueprint, Boston University School of Medicine's "Safe and Competent Opioid Prescribing Education" (SCOPE of Pain) offers live trainings for physicians and other prescribers. During trainings, participants submit written questions about the curriculum and/or their clinical experiences. METHODS: The objective was to compare themes that arose from questions asked by SCOPE of Pain participants with content of the FDA Blueprint in order to evaluate how well the Blueprint answers prescribers' concerns. The authors conducted qualitative analyses of all 1309 questions submitted by participants in 29 trainings across 16 states from May 2013 to May 2015, using conventional content analysis to code the questions. Themes that emerged from participants' questions were then compared with the Blueprint. RESULTS: Most themes fell into the topic categories of the Blueprint. Five main themes diverged: Participants sought information on (1) safe alternatives to opioids, (2) overcoming barriers to safe opioid prescribing, (3) government regulations of opioid prescribing, (4) the role of marijuana in opioid prescribing, and (5) maintaining a positive provider-patient relationship while prescribing opioids. CONCLUSIONS: In addition to learning the mechanics of safe opioid prescribing, providers want to understand government regulations and effective patient communication skills. Aware of the limitations of opioids in managing chronic pain, providers seek advice on alternatives therapies. Future updates to the FDA Blueprint and other educational guidelines on opioid prescribing should address providers' additional questions.

Clinical Operations Variables are Associated With Blood Pressure Outcomes.

BACKGROUND: Uncontrolled blood pressure (BP), among patients diagnosed and treated for the condition, remains an important clinical challenge; aspects of clinical operations could potentially be adjusted if they were associated with better outcomes. OBJECTIVES: To assess clinical operations factors' effects on normalization of uncontrolled BP. RESEARCH DESIGN: Observational cohort study. SUBJECTS: Patients diagnosed with hypertension from a large urban clinical practice (2005-2009). MEASURES: We obtained clinical data on BP, organized by person-month, and administrative data on primary care provider (PCP) staffing. We assessed the resolution of an episode of uncontrolled BP as a function of time-varying covariates including practice-level appointment volume, individual clinicians' appointment volume, overall practice-level PCP staffing, and number of unique PCPs. RESULTS: Among the 7409 unique patients representing 50,403 person-months, normalization was less likely for the patients in whom the episode starts during months when the number of unique PCPs were high [the top quintile of unique PCPs was associated with a 9 percentage point lower probability of normalization (P<0.01) than the lowest quintile]. Practice appointment volume negatively affected the likelihood of normalization [episodes starting in months with the most appointments were associated with a 6 percentage point reduction in the probability of normalization (P=0.01)]. Neither clinician appointment volume nor practice clinician staffing levels were significantly associated with the probability of normalization. CONCLUSIONS: Findings suggest that clinical operations factors can affect clinical outcomes like BP normalization, and point to the importance of considering outcome effects when organizing clinical care.

Prevalence and Correlates of Positive Follow-up Screens in Primary Care for Unhealthy Alcohol and Other Drug Use After a Negative Screen.

OBJECTIVE: To determine the proportion and characteristics of adults in primary care (PC) who screen positive for unhealthy substance use (SU) (alcohol and/or other drug) 1 year or more after screening negative. METHODS: Screening consisted of single-item questions for unhealthy use of alcohol and other drugs (illicit drugs and prescription medications). Health educators conducted in-person screening of patients presenting for a PC appointment. SU severity (low, moderate, high) was assessed with the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Multivariate logistic regression models estimated predictors of a positive follow-up screen. RESULTS: Among 9215 patients who previously screened negative, 237 (2.6%) screened positive for unhealthy SU (42% alcohol only, 43% other drug only, 15% alcohol and other drug). The mean interval between screens was 19 months. Most alcohol use was low risk (ASSIST score ≤10) (81%), whereas most drug use was moderate risk (ASSIST score 4-26) (77%). Patients between ages of 18 to 25 had a higher proportion of positive follow-up screens (7.4% [33/ 443]) as well as those with a self-identified history of SU problems (9.4% [40/421]). Patients with a higher odds of a positive follow-up screen were male (adjusted odds ratio [AOR] 2.64; 95% CI: 2.02-3.45), used tobacco (AOR 2.38; 95% CI: 1.75-3.23), had a longer interval between screenings (AOR 3.26; 95% CI: 1.84-5.75). CONCLUSIONS: Screening for unhealthy SU 1 year or more after screening negative identified additional patients at-risk. These findings highlight the need to empirically determine the incremental benefits of screening all PC patients annually.

A collaborative care intervention to improve opioid prescribing among providers caring for persons with HIV: Impact on satisfaction, confidence, and trust.

BACKGROUND: HIV clinicians report low confidence and satisfaction prescribing chronic opioid therapy (COT). We hypothesized that the Targeting Effective Analgesia in Clinics for HIV (TEACH) intervention [a system-level improvement to increase guideline concordant care for COT] would improve satisfaction, confidence, and trust among PWH and their clinicians. METHODS: We conducted a two-arm, unblinded cluster randomized controlled trial (RCT) to assess the TEACH intervention. Clinicians were randomized in a 1:1 ratio to receive either the TEACH intervention (an IT-enabled nurse care manager, opioid education, academic detailing, and access to addiction specialists) or usual care. Outcomes were the following: clinician satisfaction (primary); confidence prescribing COT; patient satisfaction with COT; and trust in clinician. Intention-to-treat analyses were conducted using linear and logistic regression models. RESULTS: Clinicians (n = 41) were randomized and their 114 patients assessed. At 12 months, the adjusted mean difference in satisfaction with COT was 1.11 points for intervention vs control clinicians (Scale 1-10; 95% confidence interval [CI]: -0.04 to 2.26, p = 0.06). The adjusted mean confidence with prescribing COT was 1.01 points higher among intervention clinicians (Scale 1-10; 95% CI: 0.05-1.96, p = 0.04). There were no significant differences in patient satisfaction with COT (adjusted odds ratio (AOR) 1.17, 95% CI: 0.50-2.76, p = 0.72) or trust in provider (AOR 1.63, 95% CI: 0.65-4.09, p = 0.30). CONCLUSIONS: TEACH did not significantly affect prescriber satisfaction, patient satisfaction with pain management or patient trust; however, it did improve prescriber confidence. TEACH is a promising strategy to improve provider prescribing of COT for PWH without adverse patient satisfaction or trust in provider.

Public health, medicine, and dentistry as partners in community health: a pioneering initiative in interprofessional, practice-based education.

CONTEXT: As public health challenges grow more complex, the call for professional education to be interprofessional, collaborative, and grounded in real world practice has intensified. OBJECTIVE: In this article, we describe the development, implementation, and results of one pioneering course at Boston University that aims to prepare public health, medical, and dental students for their combined roles in community health settings. SETTING AND PARTICIPANTS: The Schools of Public Health, Medicine, and Dental Medicine jointly offered the course in partnership with 3 community organizations. Participants include MPH, MD, and DMD candidates. INTERVENTION: The course design integrates the use of "The Challenge Model" (created by Management Sciences for Health) with training in public health consultation techniques (eg, community-based participatory research, logic models, monitoring and evaluation). Teams of 6 to 8 medical and public health students collaborate with managers and staff of a community health center to address 1 organizational challenge and recommend a sustainability plan. RESULTS: Postcourse evaluations revealed that a cross-disciplinary, practice-based education model is feasible and can meet students' learning objectives and exceed expectations of community partners. We overcame formidable obstacles related to the "silo'ed" nature of academic institutions and the competing priorities within overburdened community organizations. We found that sustained project implementation was attained at some but not all sites, yet all sites highly valued the perspective and contribution of student teams. CONCLUSION: Dynamic and replicable, this practice-based education model is adaptable to professional schools whose work intersects in the real world and calls for collaborative leadership.

Opioid analgesic use after ambulatory surgery: a descriptive prospective cohort study of factors associated with quantities prescribed and consumed.

OBJECTIVES: To prospectively characterise: (1) postoperative opioid analgesic prescribing practices; (2) experience of patients undergoing elective ambulatory surgeries and (3) impact of patient risk for medication misuse on postoperative pain management. DESIGN: Longitudinal survey of patients 7 days before and 7-14 days after surgery. SETTING: Academic urban safety-net hospital. PARTICIPANTS: 181 participants recruited, 18 surgeons, follow-up data from 149 participants (82% retention); 54% women; mean age: 49 years. INTERVENTIONS: None. PRIMARY AND SECONDARY OUTCOME MEASURES: Total morphine equivalent dose (MED) prescribed and consumed, percentage of unused opioids. RESULTS: Surgeons postoperatively prescribed a mean of 242 total MED per patient, equivalent to 32 oxycodone (5 mg) pills. Participants used a mean of 116 MEDs (48%), equivalent to 18 oxycodone (5 mg) pills (~145 mg of oxycodone remaining per patient). A 10-year increase in patient age was associated with 12 (95% CI (-2.05 to -0.35)) total MED fewer prescribed opioids. Each one-point increase in the preoperative Graded Chronic Pain Scale was associated with an 18 (6.84 to 29.60) total MED increase in opioid consumption, and 5% (-0.09% to -0.005%) fewer unused opioids. Prior opioid prescription was associated with a 55 (5.38 to -104.82) total MED increase in opioid consumption, and 19% (-0.35% to -0.02%) fewer unused opioids. High-risk drug use was associated with 9% (-0.19% to 0.002%) fewer unused opioids. Pain severity in previous 3 months, high-risk alcohol, use and prior opioid prescription were not associated with postoperative prescribing practices. CONCLUSIONS: Participants with a preoperative history of chronic pain, prior opioid prescription, and high-risk drug use were more likely to consume higher amounts of opioid medications postoperatively. Additionally, surgeons did not incorporate key patient-level factors (eg, substance use, preoperative pain) into opioid prescribing practices. Opportunities to improve postoperative opioid prescribing include system changes among surgical specialties, and patient education and monitoring.

A transitional opioid program to engage hospitalized drug users.

BACKGROUND: Many 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. METHODS: A 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. RESULTS: From 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). CONCLUSIONS: The 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.

Developing a clinical decision support for opioid use disorders: a NIDA center for the clinical trials network working group report.

There is an urgent need for strategies to address the US epidemic of prescription opioid, heroin and fentanyl-related overdoses, misuse, addiction, and diversion. Evidence-based treatment such as medications for opioid use disorder (MOUD) are available but lack numbers of providers offering these services to meet the demands. Availability of electronic health record (EHR) systems has greatly increased and led to innovative quality improvement initiatives but this has not yet been optimized to address the opioid epidemic or to treat opioid use disorder (OUD). This report from a clinical decision support (CDS) working group convened by the NIDA Center for the Clinical Trials Network aims to converge electronic technology in the EHR with the urgent need to improve screening, identification, and treatment of OUD in primary care settings through the development of a CDS algorithm that could be implemented as a tool in the EHR. This aim is consistent with federal, state and local government and private sector efforts to improve access and quality of MOUD treatment for OUD, existing clinical quality and HEDIS measures for OUD or drug and alcohol use disorders, and with a recent draft grade B recommendation from the US Preventative Services Task Force (USPSTF) for screening for illicit drug use in adults when appropriate diagnosis, treatment and care services can be offered or referred. Through a face-to-face expert panel meeting and multiple follow-up conference calls, the working group drafted CDS algorithms for clinical care felt to be essential for screening, diagnosis, and management of OUD in primary care. The CDS algorithm was reviewed by addiction specialists and primary care providers and revised based on their input. A clinical decision support tool for OUD screening, assessment, and treatment within primary care systems may help improve healthcare delivery to help address the current epidemic of opioid misuse and overdose that has outpaced the capacity of specialized treatment settings. A semi-structured outline of clinical decision support for OUD was developed to facilitate implementation within the EHR. Further work for adaptation at specific sites and for testing is needed.

Communication between nurse care managers and patients who take opioids for chronic pain: Strategies for exploring aberrant behavior.

OBJECTIVE: One approach to potential misuse of prescription opioids by patients with chronic pain is team-based collaborative primary care, with primary care visits complemented by frequent visits with nurse care managers (NCMs) specializing in addiction care. However, little is known about the communication strategies NCMs employ in these visits. This study aimed to describe strategies NCMs used with patients when discussing aberrancies encountered during opioid monitoring. DESIGN: Observational study of NCM-patient interactions. Patients' primary care providers had been randomized to the treatment arm of a study evaluating an intervention, of which NCM visits were part, to change opioid prescribing patterns. The overall intervention was found to be successful. SETTING: Four primary care settings. PARTICIPANTS: Two NCMs and 41 patients. MAIN OUTCOME MEASURE: Forty one interactions between two NCMs and 41 unique patients were directly observed, and the detailed field notes coded for strategies using conventional content analysis. RESULTS: Five themes describing strategies that NCMs use to navigate aberrant patient behavior emerged: (1) NCM develops therapeutic relationship with patient; (2) NCM encourages adherence to monitoring strategies by contextualizing intensive opioid management for patient; (3) NCM inquires into discrepancies between patient's narrative and objective data to further understand aberrancy; (4) NCM assesses patient's medication use and pain to obtain more information about aberrancy and determine risk for opioid misuse; and (5) NCM educates patient and makes recommendations to guide appropriate medication use. CONCLUSIONS: These findings provide a potential model for the replication of intensive care management strategies utilizing NCMs in primary care.

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.

Relationship of depressive symptoms and mental health functioning to repeat detoxification.

To better understand residential detoxification use, we assessed the roles of depressive symptoms (DS) and mental health functioning (MHF) on repeat detoxification. A prospective cohort of residential detoxification patients (N=400) without primary medical care was followed over 2 years at 6-month intervals. Subsequent detoxification admissions were examined using a statewide administrative database and DS (Center for Epidemiologic Studies Depression Scale) and MHF (SF-36 mental component summary subscale) measurements at follow-up. Incidence rate ratios of return to detoxification were estimated using multivariable longitudinal Poisson regression. In separate analyses, greater DS and worse MHF predicted higher detoxification use rates. Clinically significant worsening (10 points) of DS and MHF on objective scales predicted a 20% increased rate of detoxification readmission. Male sex, heroin as a problem substance, and race/ethnicity each predicted detoxification use. These data suggest that identifying individuals with DS or worse MHF after detoxification may provide opportunities for clinical intervention to reduce recurrent residential detoxification.

Variability in opioid prescription monitoring and evidence of aberrant medication taking behaviors in urban safety-net clinics.

Little is known about variability in primary care providers' (PCPs) adherence to opioid-monitoring guidelines for patients. We examined variability of adherence to monitoring guidelines among PCPs and ascertained the relationship between PCP adherence and opioid misuse by their patients. We included primary care patients receiving long-term opioids (≥3 prescriptions within 6 months) for chronic noncancer pain and PCPs with ≥4 eligible patients. We examined guideline adherence using: (1) electronic health record documentation of opioid treatment agreement, (2) past-year urine drug screen (UDS), and (3) evidence of misuse through early refills (≥2 opioid prescriptions written 7-25 days after the previous prescription). Covariates included morphine equivalent daily opioid medication dose (MED, >50 mg/d vs ≤50mg/d). Multilevel regression models assessed variability among PCPs, and odds ratios examined associations among patient-level binary outcomes. Sixty-seven PCPs prescribed opioids to 1546 patients. Significant variability was found between PCPs in use of agreement (variance = 1.27, P < 0.001), UDS (variance = 1.75, P < 0.001), and early refills (variance = 0.29, P = 0.002). Primary care providers had a mean of 48% of patients with agreement (range, 9%-84%), 56% with ≥1 UDS (range, 7%-91%) and 36% with early refills (range, 19%-60%). High MED among patients was associated with increased odds of agreement (1.93, confidence interval [CI], 1.53-2.44), UDS (2.65, CI: 2.06-3.41), and early refill (2.92, CI: 2.30-3.70). Primary care providers varied significantly in adherence to opioid prescription guidelines. Increased patient risk was associated with increased monitoring and with greater misuse. Future work should study system-level interventions to enable clinical monitoring and support opioid guideline adherence.

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.

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.

'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.

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.

Applying trigger tools to detect adverse events associated with outpatient surgery.

OBJECTIVE: The objective of this study is to evaluate the performance of 5 triggers to detect adverse events (AEs) associated with outpatient surgery. Triggers use surveillance algorithms derived from clinical logic to flag cases where AEs have most likely occurred. Current efforts to detect AEs have focused primarily on the inpatient setting, despite the increase in outpatient surgery in all health care settings. METHODS: Using trigger logic, we retrospectively evaluated data from 3 large health care systems' electronic medical records. Patients were eligible for inclusion if they had an outpatient (same-day) surgery in 2007 and at least 1 clinical note in the 6 months after the surgery. Two nurse abstractors reviewed a sample of trigger-flagged cases from each health care system. After reaching interrater reliability targets (κ > 0.60), we calculated the positive predictive value (PPV) of each trigger and the confidence interval of the estimate. RESULTS: The surgical triggers flagged between 1% and 22% of the outpatient surgery cases, with a wide range in PPVs (6.0%-62.0%). The pulmonary embolism and deep vein thrombosis and emergency department triggers had the lowest proportion of flagged cases along with the highest PPVs, showing the most promise for screening cases with a high probability of AE occurrence. CONCLUSIONS: Triggers may be useful in identifying a narrow set of surgeries for further review to determine if a surgical AE occurred, complementing existing tools and initiatives used to detect AEs. Improved detection of AEs in outpatient surgery should help target potential areas for quality improvement.

Characteristics of male veterans with psychogenic nonepileptic seizures.

PURPOSE: To describe male patients (pts) with psychogenic nonepileptic seizures (PNESs) followed up in a Veteran's Administration (VA) seizure clinic and to compare them with those with epileptic seizures (ESs) by using clinical, and psychosocial variables. METHODS: Adult male veterans seen between 1997 and 2000 with ESs were compared with those with PNESs with respect to clinical history (head trauma, antiepileptic drug exposure, depression, anxiety, substance abuse, seizure description), documented chronic pain, posttraumatic stress disorder (PTSD), compensation for diagnosis, neurologic examination, and test results including imaging and EEG data. RESULTS: Men with PNESs were younger and reported more frequent events, and diagnoses of chronic pain, anxiety, and PTSD were significantly greater. Neuroimaging [computed tomography (CT) or magnetic resonance imaging (MRI) of the brain] and neurologic examination were significantly more likely to be normal or nonspecific in pts with PNESs, although history of ictal urinary incontinence or service-connected compensation for diagnosis did not distinguish the groups. CONCLUSIONS: Male veterans with PNESs have characteristics similar to those reported in the literature, even though younger women have dominated previously studied populations. Compared with men with ESs, those with PNESs are more likely to have chronic pain, anxiety, and PTSD, as well as normal examinations and brain imaging.