Academic General Internal Medicine Research Articles

The Organization of Academic General Internal Medicine Practice at the Top Primary Care Schools.

While prior studies have explored staffing infrastructure for primary care practices in general, little is known about the range of academic primary care practice models and supports available for academic general internists. To characterize the range of practice arrangements and expectations for attending academic physicians in general internal medicine (GIM) practices at the top 22 medical schools across the USA. Cross-sectional survey administered electronically between October 30, 2022, and December 28, 2022. Clinical leaders in GIM at the top 22 primary care medical schools, as identified by the 2023 US News and World Report Rankings. Clinical load, productivity expectations, cross-coverage, and team-based care models. Twenty-two leaders responded, representing 68% (15/22) of medical schools surveyed. The practices were mostly in urban locations (18/22, 82%) and 86% (19/22) included residents. Practices ranged from 7 to 200 PCPs and from 3 to 112 clinical FTEs. A full-time (1.0 FTE) clinical role for academic attending GIM physicians entailed a median of 9 (IQR 8, 10) weekly half-day clinic sessions, with a median panel size expectation of 1600 (IQR 1450, 1850) patients and a median yearly RVU expectation of 5200 (IQR 4161, 5891) yearly RVUs generated. Staff support was most commonly present for prescription refills and patient portal message checks. It was less commonly available for time sensitive form completion. Occasional clinical coverage for other physicians was an expectation at all practices. In this study, we characterize the organization of and supports available in academic GIM practices affiliated with the top primary care medical schools. Our findings provide comparative information for leaders of academic GIM practices seeking to enhance primary care delivery for their faculty and trainees. They also highlight areas where standardization may be beneficial across academic GIM.

Differential Effect of Patient- and Provider-Level Factors on Patient Satisfaction Scores in Academic General Internal Medicine Clinics.

Determine whether patient-level or provider-level factors have greater influence on patient satisfaction scores in an academic general internal medicine clinic. Two years of data (2017-2019) from the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CGCAHPS) surveys from ambulatory internal medicine clinic visits in an academic health center located in the Midwest United States were used. Patient satisfaction was measured using the overall provider satisfaction score (0-10), dichotomized with 9-10 defined as satisfactory and 0-8 as unsatisfactory. Provider-level independent variables included age, sex, race/ethnicity, provider type, service type, clinical effort, academic rank, and years since graduation. Patient-level factors included age, sex, race/ethnicity, education, and Epic Risk Score. Generalized mixed-effects logistic regression models were used to investigate associations between top-box satisfaction score and patient- and provider-level factors, accounting for the nesting of patients within providers. Thirty-three providers and 4597 patients were included in the analysis. Male providers (OR, 1.57; 95% CI, 1.00, 2.47), minority group 2 (OR, 3.54; 95% CI, 1.24, 10.07) and minority group 3 (OR, 6.04; 95% CI, 1.45, 25.12), faculty (OR, 3.83; 95% CI, 1.56, 9.36), and primary care providers (OR, 5.60; 95% CI, 1.62, 19.34) had increased odds of having a top-box rating compared with females, minority group 1, advanced practice providers, and perioperative providers respectively. Age was the only patient independent correlate of top-box rating with a 3% increased odds of top-box rating for every year increase in age (OR, 1.03; 95% CI 1.02, 1.03). In this academic general internal medicine clinic, top-box satisfaction scores were more strongly associated with provider-level factors, including provider race/ethnicity, provider type, and service type, as opposed to patient-level factors. Further research is needed to confirm these findings and identify potential system-level interventions.

Improvement of in-office Blood Pressure targets in an Academic primary care setting

Background 
 Accurate blood pressure (BP) measurement in an office-based setting is essential for diagnosis and management of hypertension. Staff education on proper blood pressure measurement technique and recording is a focus of recent hypertension guidelines. (1) Compared with other methods, unattended Automated Office Blood Pressure (AOBP) devices reduce measurement errors and improve BP Management. (2,3,4) The addition of AOBP to staff education needs to be assessed objectively. 
 
 Objectives 
 To determine the effect of staff education on proper BP measurement and addition of AOBP devices on BP targets in an academic general internal medicine clinic. 
 
 Methods 
 Education was provided to the medical staff on how to appropriately check BP in general and on the proper use of the AOBP devices. Education was repeated in several intervals to ensure consistency in practice. Six AOBP Hillrom (Welch Allyn spot 4400) devices were deployed for the clinic. Devices allowed for three automated readings 1 minute apart eliminating the first reading and keeping the other 2 readings. Staff were instructed to document two blood pressure readings into the electronic medical record. The number of patients who completed two BP measurements documented in the EMR over time. 
 
 Results 
 Our results showed timely education with refreshers, increased BP measurement protocol and improvement in BP recordings. Adherence to 2 BP checks increased from 40% in Dec-21 to 99% Jun-23. The percentage of patients with improved BP increased from 40% to 76% after staff education and addition of AOBP. 
 
 Conclusion 
 Timely education of medical staff and the addition of AOBP could increase the accuracy of in-office BP measurement. 
 
 Key word: Internal medicine 
 Type of submission: Abstract

Patient characteristics and utilization of an online patient portal in a rural academic general internal medicine practice

BackgroundOnline patient portals have the potential to improve patient engagement and health care outcomes. This is especially true among rural patient populations that may live far from their health care providers and for whom transportation is a barrier to accessing care. This study compared the characteristics of active users of an online patient portal to non-users and assessed utilization among users in a rural academic primary care clinic to identify disparities in adoption and use.MethodsWe conducted a cross sectional study of 28,028 patients in a general internal medicine clinic between June 2019 and May 2020 to assess (a) characteristics of patients who had an online patient portal account and used the patient portal compared to those who did not register for an account, and (b) the frequency of use of the patient portal (number of logons and number of messages sent and received) by patients over the study period. We compared results based on demographic characteristics, focusing on gender, age, race, presence or absence of nine chronic illnesses, smoking status, and BMI.ResultsIn the study cohort of 28,028 patients, 82% were active users of the patient portal. Females, patients aged 41–65, and non-smokers were more likely to use the portal than their counterparts. In total, patients with eight out of nine chronic illness groups studied (heart failure, cerebrovascular disease, history of a myocardial infarction, peripheral vascular disease, and renal disease) were less likely to use the patient portal than patients without these chronic conditions. On average, patients log onto the patient portal 25 times per year and send and receive 6 messages to and from the clinic. We found that females, patients older than 65, former smokers and obese patients logged on and sent and received more messages compared to the overall cohort. Although the sample size was small, on average Black patients logged onto the patient portal 19 times and sent and received 3.6 messages compared to White patients who logged on 25 times with 5.8 messages on average over the yearlong study period.ConclusionsIn a rural academic internal medicine clinic, female patients, aged 41–65, non-smokers, and those without certain chronic conditions were more likely to use an online patient portal. Recognizing and addressing barriers to patient portal use is essential for robust and sustained patient portal uptake and ensuring that the benefits of portal use are equally distributed among all patients.

Impact of a medical scribe on clinical efficiency and quality in an academic general internal medicine practice

BackgroundScribes have been proposed as an intervention to decrease physician electronic health record (EHR) workload and improve clinical quality. We aimed to assess the impact of a scribe on clinical efficiency and quality in an academic internal medicine practice.MethodsSix faculty physicians worked with one scribe at an urban academic general internal medicine clinic April through June 2017. Patient visits during the 3 months prior to intervention (baseline, n = 789), unscribed visits during the intervention (concurrent control, n = 605), and scribed visits (n = 579) were included in the study. Clinical efficiency outcomes included time to close encounter, patient time in clinic, and number of visits per clinic session. Quality outcomes included EHR note quality, rates of medication and immunization review, population of patient instructions, reconciliation of outside information, and completion of preventative health recommendations.ResultsMedian time to close encounter (IQR) was lower for scribed visits [0.4 (4.8) days] compared to baseline and unscribed visits [1.2 (5.9) and 2.9 (5.4) days, both p < 0.001]. Scribed notes were more likely to have a clear history of present illness (HPI) [OR = 7.30 (2.35–22.7), p = 0.001] and sufficient HPI information [OR = 2.21 (1.13–4.35), p = 0.02] compared to unscribed notes. Physicians were more likely to review the medication list during scribed vs. baseline visits [OR = 1.70 (1.22–2.35), p = 0.002]. No differences were found in the number of visits per clinic session, patient time in clinic, completion of preventative health recommendations, or other outcomes.ConclusionsWorking with a scribe in an academic internal medicine practice was associated with more timely documentation.

Observational study of agreement between attending and trainee physicians on the surprise question: "Would you be surprised if this patient died in the next 12 months?"

Optimal end-of-life care requires identifying patients that are near the end of life. The extent to which attending physicians and trainee physicians agree on the prognoses of their patients is unknown. We investigated agreement between attending and trainee physician on the surprise question: "Would you be surprised if this patient died in the next 12 months?", a question intended to assess mortality risk and unmet palliative care needs. This was a multicentre prospective cohort study of general internal medicine patients at 7 tertiary academic hospitals in Ontario, Canada. General internal medicine attending and senior trainee physician dyads were asked the surprise question for each of the patients for whom they were responsible. Surprise question response agreement was quantified by Cohen's kappa using Bayesian multilevel modeling to account for clustering by physician dyad. Mortality was recorded at 12 months. Surprise question responses encompassed 546 patients from 30 attending-trainee physician dyads on academic general internal medicine teams at 7 tertiary academic hospitals in Ontario, Canada. Patients had median age 75 years (IQR 60-85), 260 (48%) were female, and 138 (25%) were dependent for some or all activities of daily living. Trainee and attending physician responses agreed in 406 (75%) patients with adjusted Cohen's kappa of 0.54 (95% credible interval 0.41 to 0.66). Vital status was confirmed for 417 (76%) patients of whom 160 (38% of 417) had died. Using a response of "No" to predict 12-month mortality had positive likelihood ratios of 1.84 (95% CrI 1.55 to 2.22, trainee physicians) and 1.51 (95% CrI 1.30 to 1.72, attending physicians), and negative likelihood ratios of 0.31 (95% CrI 0.17 to 0.48, trainee physicians) and 0.25 (95% CrI 0.10 to 0.46, attending physicians). Trainee and attending physician responses to the surprise question agreed in 54% of cases after correcting for chance agreement. Physicians had similar discriminative accuracy; both groups had better accuracy predicting which patients would survive as opposed to which patients would die. Different opinions of a patient's prognosis may contribute to confusion for patients and missed opportunities for engagement with palliative care services.

0596 Providers Rarely Assess Obstructive Sleep Apnea Symptoms Among Patients with Chronic Obstructive Pulmonary Disease

Abstract Introduction Professional societies recommend providers assess sleep symptoms in COPD, but it is unclear if this occurs. We aimed to evaluate OSA symptom assessment and documentation among patients with COPD, and the patient and provider characteristics associated with this assessment. Methods We conducted a cross-sectional study of adults aged ≥40 years with clinically diagnosed COPD and no prior diagnosis of OSA. We selected patients receiving care at two academic general internal medicine clinics between 6/1/2011 - 6/1/2013. We abstracted charts to assess how often OSA symptoms such as snoring, somnolence, witnessed apneas, or gasping/choking arousals were documented as present or absent. We performed multivariable mixed-effects logistic regression to assess associations of patient and primary care provider (PCP) factors with assessment of OSA symptoms. Patient factors included demographics, body mass index, comorbidities, healthcare utilization, and severity of COPD, and PCP factors including demographics, degree, and years of experience. Results Of 523 patients with COPD, only 26 (5.0%) had documentation of OSA symptom assessment within a one-year period. In mixed effects models, only referral to general pulmonary clinic was associated with the assessment of OSA symptoms (OR: 4.56, 95% CI 1.28-15.52). Among the 26 individuals who had OSA symptoms assessed, 9 (34.6%) reported snoring, 15 (57.7%) reported daytime somnolence, 2 (7.7%) reported gasping/choking arousals, and 5 (19.2%) reported witnessed apneas. Among those assessed for OSA symptoms, providers referred 11 (42.3%) for formal sleep consultation. Conclusion Providers rarely document OSA symptoms for patients with COPD in primary care clinic, but assessment is greater among those with pulmonary specialty consultation. Given time constraints in primary care, external facilitation of sleep symptom assessment may improve symptom recognition and receipt of appropriate services. Support NIH 5K23HL111116-05, VA Center of Innovation for Veteran-Centered and Value-Driven Care.

Use of an Online Breast Cancer Risk Assessment and Patient Decision Aid in Primary Care Practices.

Background: U.S. Preventive Services Task Force (USPSTF) recommendations for mammography screening, genetic counseling and testing for pathogenic BRCA1/2 mutations, and use of risk-reducing medications require assessment of breast cancer risk for clinical decision-making, but efficient methods for risk assessment in clinical practice are lacking. Materials and Methods: A cross-sectional study evaluating a web-based breast cancer risk assessment and decision aid (MammoScreen) was conducted in an academic general internal medicine clinic. All eligible women, 40-74 years of age without previous diagnosis of breast or ovarian cancer and who were enrolled in the Epic MyChart patient portal were invited. MammoScreen uptake and completion rates and consistency between breast cancer risk determined by MammoScreen and existing risk information in the Epic record were measured. Patient and physician experiences were summarized from interviews. Results: Of 448 invited participants, 339 (75.7%) read their MyChart invitation and 125 (36.9%) who read invitations enrolled in the study; 118 (94.4% of enrolled) completed MammoScreen. Twenty-one women were categorized as above-average risk from either MammoScreen data or the chart review and 7 (33.3%) were identified by both sources. Physicians and patients believed MammoScreen was easy to use and was helpful in identifying risks and facilitating shared decision-making. Conclusions: Breast cancer risk assessment and mammography screening decision support were efficiently implemented through a web-based tool for patients sent through an electronic patient portal. Integration of patient decision aids with risk algorithms in clinical practice may help support the implementation of USPSTF recommendations that include risk assessment and shared decision-making.

Physician Burnout and Timing of Electronic Health Record Use.

Rates of burnout among physicians have been high in recent years. The Electronic Health Record (EHR) is implicated as a major cause of burnout. To determine the association between physician burnout and timing of EHR use in an academic internal medicine primary care practice. We conducted an observational cohort study using cross-sectional and retrospective data. Participants included primary care physicians in an academic outpatient general internal medicine practice. Burnout was measured with a single-item question via self-reported survey. EHR time was measured using retrospective automated data routinely captured within the institution's EHR. EHR time was separated into four categories: weekday workhours in-clinic time, weekday workhours out-of-clinic time, weekday afterhours time, and weekend/holiday afterhours time. Ordinal regression was used to determine the relationship between burnout and EHR time categories. EHR use during in-clinic sessions was related to burnout in both bivariate (OR=1.04, 95% CI 1.01, 1.06; p=0.007) and adjusted (OR=1.07, 95% CI 1.03, 1.1; p=0.001) analyses. No significant relationships were found between burnout and afterhours EHR use. In this small single-institution study, physician burnout was associated with higher levels of in-clinic EHR use but not afterhours EHR use. Improved understanding of the variability of in-clinic EHR use, and the EHR tasks that are particularly burdensome to physicians, could help lead to interventions that better integrate EHR demands with clinical care and potentially reduce burnout. Further studies including more participants from diverse clinical settings are needed to further understand the relationship between burnout and afterhours EHR use.

Medical Scribes, Provider and Patient Experience, and Patient Throughput: a Trial in an Academic General Internal Medicine Practice.

Medical scribes have been proposed as a solution to the problems of excessive documentation, work-life balance, and burnout facing general internists. However, their acceptability to patients and effects on provider experience have not been tested in a real-world model of effectiveness. To measure the effect of medical scribes on patient satisfaction, provider satisfaction, and provider productivity. Quasi-experimental difference-in-differences longitudinal design. Four attending physicians who worked with scribes, 9 control physicians who did not, and their patients in a large, hospital-affiliated academic general internal medicine practice. Provider experience and patient experience using 5-point Likert scale surveys from the AMA Steps Forward Team Documentation Module, and visits and wRVUs per hour during 4weeks before and 12weeks after initiation of a practice model that included use of scribes and a shortened visit template. Participating providers worked a total of 664 clinic sessions and returned 547 (82%) surveys. Average provider experience scores did not differ between providers working with scribes and control providers working without (4.01 vs. 3.40 respectively; p time-by-group interaction = 0.26). Providers with scribes were more likely to agree that work for the encounter would be completed during the visit then controls (3.58 vs. 2.48 respectively; p interaction = 0.04). A total of 6202 visits occurred during the study period. Average patient experience scores did not differ between the experimental and control groups (4.73 vs. 4.75 respectively; p interaction = 0.90). Compared with the control providers, providers with scribes completed more visits per hour (2.29 vs. 1.91; p interaction < 0.001) and generated more wRVUs per hour (3.42 vs. 3.27; p interaction < 0.001). In this test of a modified practice model, scribes supported greater patient throughput and improved provider perceptions of documentation burden with no decrement in high patient satisfaction.

Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study

ObjectiveOur study compares physician judgement with an automated early warning system (EWS) for predicting clinical deterioration of hospitalised general internal medicine patients.DesignProspective observational study of clinical predictions made at the...

Holiday Discharges Are Associated with Higher 30-Day General Internal Medicine Hospital Readmissions at an Academic Medical Center.

Academic medical centers face unique challenges in educating physician trainees in effective discharge practices to prevent readmissions. Meanwhile, residents must handle high workloads coupled with frequent rotations to different services. This study aimed to determine whether daily service census, service turnover, time of discharge, and day of discharge increase the risk of 30-day readmission. All of the discharges from two academic general internal medicine teaching services between October 1, 2013 and September 30, 2014 were included in this observational data analysis. Variables were fit to a 30-day, all-cause readmission outcome using multiple logistic regression with inverse probability of treatment weighting and multiple imputations with chained equations. The following potential confounding variables were included in the model: health system utilization, demographics, laboratory values, and comorbidities. Among 1935 total discharges, 258 patients (13.3%) were readmitted within 30 days of the index discharge. Turnover, service census, weekend discharge, and time of discharge were not significantly associated with the risk of readmission. Patients discharged during holiday periods had higher odds of readmission (odds ratio 2.56, 95% confidence interval 2.01-3.25), whereas patients discharged on an intern switch day had lower odds of readmission (odds ratio 0.33, 95% confidence interval 0.27-0.41). Patients who are discharged during holiday periods are at a higher risk of readmission after adjusting for potential confounders. These results also suggest that discharge on an intern switch day had a protective effect on readmission. Further work is needed to examine whether these findings can be replicated, and, if confirmed, to determine to what extent these associations are causal.

Career-Focused Mentoring for Early-Career Clinician Educators in Academic General Internal Medicine

Career-Focused Mentoring for Early-Career Clinician Educators in Academic General Internal Medicine

Impact of Medical Scribes on Physician and Patient Satisfaction in Primary Care.

Use of electronic health records (EHRs) is associated with physician stress and burnout. While emergency departments and subspecialists have used scribes to address this issue, little is known about the impact of scribes in academic primary care. Assess the impact of a scribe on physician and patient satisfaction at an academic general internal medicine (GIM) clinic. Prospective, pre-post-pilot study. During the 3-month pilot, physicians had clinic sessions with and without a scribe. We assessed changes in (1) physician workplace satisfaction and burnout, (2) time spent on EHR documentation, and (3) patient satisfaction. Six GIM faculty and a convenience sample of their patients (N = 325) at an academic GIM clinic. A 21-item pre- and 44-item post-pilot survey assessed physician workplace satisfaction and burnout. Physicians used logs to record time spent on EHR documentation outside of clinic hours. A 27-item post-visit survey assessed patient satisfaction during visits with and without the scribe. Of six physicians, 100% were satisfied with clinic workflow post-pilot (vs. 33% pre-pilot), and 83% were satisfied with EHR use post-pilot (vs. 17% pre-pilot). Physician burnout was low at baseline and did not change post-pilot. Mean time spent on post-clinic EHR documentation decreased from 1.65 to 0.76h per clinic session (p = 0.02). Patient satisfaction was not different between patients who had clinic visits with vs. without scribe overall or by age, gender, and race. Compared to patients 65years or older, younger patients were more likely to report that the physician was more attentive and provided more education during visits with the scribe present (p = 0.03 and 0.02, respectively). Male patients were more likely to report that they disliked having a scribe (p = 0.03). In an academic GIM setting, employment of a scribe was associated with improved physician satisfaction without compromising patient satisfaction.

Influenza Vaccination Beliefs and Practices in Elderly Primary Care Patients.

The majority of influenza related deaths and hospitalizations occur among individuals ≥65years, yet the national influenza vaccination rate for this group is 63% and is lower in the Hispanic population. Previous studies have described negative predictors of vaccination; however, there is a knowledge gap of how influenza vaccine-specific beliefs affect vaccination rates. We examined the relationship between influenza vaccine health beliefs and vaccination behaviors in a cross sectional sample of 200 primarily Hispanic patients aged ≥65years in an academic general internal medicine clinic. Participants were asked about perceptions of influenza vaccine effectiveness and safety. Interview responses regarding influenza vaccine concerns were evaluated qualitatively with conventional content analysis. Logistic regression evaluated associations between beliefs and self-reported vaccination the previous year, adjusted for age, gender, and language. Of those approached to complete the questionnaire, 88% participated. Self-reported influenza vaccination rate during the study year was 75%. Only 46.5% endorsed the belief that influenza vaccine is very effective and 47% that it is very safe. Many stated specific concerns about flu vaccine including that it causes side effects/adverse outcomes, is not effective, vaccine components are harmful, and vaccination is not necessary. Belief that the flu shot causes the flu and concern for variability of the flu shot were associated with reduced odds of vaccination (aOR 0.19, 95% CI [0.05, 0.83] and 0.06 [0.006, 0.63] respectively). The patient-perceived distinction between cold, flu, and other symptoms warrants further exploration. This information can be used to develop targeted communication to promote vaccination.

Factors associated with willingness to participate in a vaccine clinical trial among elderly Hispanic patients.

A population specific understanding of barriers and facilitators to participation in clinical trials could improve recruitment of elderly and minority populations. We investigated how prior exposure to clinical trials and incentives were associated with likelihood of participation in a vaccine clinical trial through a questionnaire administered to 200 elderly patients in an academic general internal medicine clinic. Wilcoxon signed rank sum test compared likelihood of participation with and without monetary incentives. Logistic regression evaluated characteristics associated with intent to participate in an influenza vaccine trial, adjusted for age, gender, language, and education history. When asked about likelihood of participation if there was monetary compensation, there was a 12.2% absolute increase in those reporting that they would not participate, with a significant difference in the distribution of likelihood before and after mentioning a monetary incentive (Wilcoxon signed rank test, p = 0.001). Those with previous knowledge of clinical trials (54.4%) were more likely to report they would participate vs. those without prior knowledge (OR 2.5, 95% CI [1.2, 5.2]). The study highlights the importance of pre-testing recruitment materials and incentives in key group populations prior to implementing clinical trials.

Physician Order Entry Clerical Support Improves Physician Satisfaction and Productivity.

To examine the impact of clerical support personnel for physician order entry on physician satisfaction, productivity, timeliness with electronic health record (EHR) documentation, and physician attitudes. All seven part-time physicians at an academic general internal medicine practice were included in this quasi-experimental (single group, pre- and postintervention) mixed-methods study. One full-time clerical support staff member was trained and hired to enter physician orders in the EHR and conduct previsit planning. Physician satisfaction, productivity, timeliness with EHR documentation, and physician attitudes toward the intervention were measured. Four months after the intervention, physicians reported improvements in overall quality of life (good quality, 71%-100%), personal balance (43%-71%), and burnout (weekly, 43%-14%; callousness, 14%-0%). Matched for quarter, productivity increased: work relative value unit (wRVU) per session increased by 20.5% (before, April-June 2014; after, April-June 2015; range -9.2% to 27.5%). Physicians reported feeling more supported, more focused on patient care, and less stressed and fatigued after the intervention. This study supports the use of physician order entry clerical personnel as a simple, cost-effective intervention to improve the work lives of primary care physicians.

Implementation and Quality Improvement of a Screening and Counseling Program for Unhealthy Alcohol Use in an Academic General Internal Medicine Practice

Implementation and Quality Improvement of a Screening and Counseling Program for Unhealthy Alcohol Use in an Academic General Internal Medicine Practice

Implementation and Quality Improvement of a Screening and Counseling Program for Unhealthy Alcohol Use in an Academic General Internal Medicine Practice.

Unhealthy alcohol use is the third leading cause of preventable death in the United States. The U.S. Preventive Services Task Force (USPSTF) recommends screening for unhealthy alcohol use but little is known about how best to do so. We used quality improvement techniques to implement a systematic approach to screening and counseling primary care patients for unhealthy alcohol use. Components included use of validated screening and assessment instruments; an evidence-based two-visit counseling intervention using motivational interviewing techniques for those with risky drinking behaviors who did not have an alcohol use disorder (AUD); shared decision making about treatment options for those with an AUD; support materials for providers and patients; and training in motivational interviewing for faculty and residents. Over the course of one year, we screened 52% (N = 5,352) of our clinic's patients and identified 294 with positive screens. Of those 294, appropriate screening-related assessments and interventions were documented for 168 and 72 patients, respectively. Although we successfully implemented a systematic screening program and structured processes of care, ongoing quality improvement efforts are needed to screen the rest of our patients and to improve the consistency with which we provide and document appropriate interventions.

Analysis of Smartphone Interruptions on Academic General Internal Medicine Wards. Frequent Interruptions may cause a 'Crisis Mode' Work Climate.

Hospital-based medical services are increasingly utilizing team-based pagers and smartphones to streamline communications. However, an unintended consequence may be higher volumes of interruptions potentially leading to medical error. There is likely a level at which interruptions are excessive and cause a 'crisis mode' climate. We retrospectively collected phone, text messaging, and email interruptions directed to hospital-assigned smartphones on eight General Internal Medicine (GIM) teams at two tertiary care centres in Toronto, Ontario from April 2013 to September 2014. We also calculated the number of times these interruptions exceeded a pre-specified threshold per hour, termed 'crisis mode', defined as at least five interruptions in 30 minutes. We analyzed the correlation between interruptions and date, site, and patient volumes. A total of 187,049 interruptions were collected over an 18-month period. Daily weekday interruptions rose sharply in the morning, peaking between 11 AM to 12 PM and measuring 4.8 and 3.7 mean interruptions/hour at each site, respectively. Mean daily interruptions per team totaled 46.2 ± 3.6 at Site 1 and 39.2 ± 4.2 at Site 2. The 'crisis mode' threshold was exceeded, on average, 2.3 times/day per GIM team during weekdays. In a multivariable linear regression analysis, site (β6.43 CI95% 5.44 - 7.42, p<0.001), day of the week (with Friday having the most interruptions) (β0.481 CI95% 0.236 - 0.730, p<0.05) and patient census (β1.55 CI95% 1.42 - 1.67, p<0.05) were all predictive of daily interruption volume although there was a significant interaction effect between site and patient census (β-0.941 CI95% -1.18 - -0.703, p<0.05). Interruptions were related to site-specific features, including volume, suggesting that future interventions should target the culture of individual hospitals. Excessive interruptions may have implications for patient safety especially when exceeding a maximal threshold over short periods of time.