Opioid dose risk, clinician and patient characteristics, and adherence to opioid prescribing recommendations in chronic non-cancer pain.

OBJECTIVE: This study aims to assess associations between morphine-equivalent daily dose (MEDD) of opioids, clinician and patient characteristics, and prescriber adherence to guidelines for long-term opioid therapy (LTOT) in chronic noncancer pain (CNCP) and to elucidate potential relationships associated with increased-risk opioid prescribing. DESIGN: Retrospective cross-sectional study. SETTING: Academic health system's 33 primary care clinics. PATIENTS: Adults (≥18 years old) prescribed LTOT (10 + outpatient prescriptions in the past year) for CNCP. MAIN OUTCOME MEASURE(S): Electronic health record data on prescribed opioids (for MEDD), clinician/patient characteristics, and adherence rates to LTOT guideline-concordant recommendations. RESULTS: A total of 2,738 patients were eligible, 61.6 percent Lower, 15.7 percent Moderate, and 22.7 percent Higher Risk MEDD (<50, 50-89, and ≥90 mg/day, respectively). Higher MEDD correlated (p < 0.001) with Medicare insurance, current cigarette smoking, higher pain intensity and interference scores, and the presence of opioid use disorder diagnoses. Male clinicians more frequently prescribed (p < 0.001) and male patients were more likely to be prescribed (p < 0.001) higher MEDD compared to their female counterparts. Higher Risk MEDD was associated with higher coprescribed benzodiazepines (p = 0.015), lower depression screening (p = 0.048), urine drug testing (p = 0.003), comparable active treatment agreement (p = 0.189), opioid misuse risk screening (p = 0.619), and prescription drug monitoring checks (p = 0.203). CONCLUSIONS: This study documented that higher MEDD was associated with risks of worse health outcomes without improved adherence to opioid prescribing guideline recommendations. Enhanced clinician awareness of factors associated with MEDD has the potential to mitigate LTOT risks and improve overall patient care.

Disparities in Use of Patient Portals Among Adults in Family Medicine.

OBJECTIVE: This study examined patient portal utilization by analyzing the pattern of time and feature use of patients, and thus to identify functionalities of portal use and patient characteristics that may inform future strategies to enhance communication and care coordination through online portals. METHODS: We conducted a retrospective study of patients at 18 family medicine clinics over a 5-year period using access log records in the electronic health record database. Dimensionality reduction analysis was applied to group portal functionalities into 4 underlying feature domains: messaging, health information management, billing/insurance, and resource/education. Negative binomial regression analysis was used to evaluate how patient and practice characteristics affected the use of each feature domain. RESULTS: Patients with more chronic conditions, lab tests, or prescriptions generally showed greater patient portal usage. However, patients who were male, elderly, in minority groups, or living in rural areas persistently had lower portal usage. Individuals on public insurance were also less likely than those on commercial insurance to use patient portals, although Medicare patients showed greater portal usage on health information management features, and uninsured patients had greater usage on viewing resource/education features. Having Internet access only affected the use of messaging features. CONCLUSION: Efforts to enroll patients in online portals do not guarantee patients will use the portals to manage their health. When considering the use of patient portals for improving telehealth, clinicians need to be aware of technological, socioeconomic, and cultural challenges faced by their patients.

Association Between Service Agreements and Frequency of Primary Care Visits in a Chinese Community Health Service Center.

BACKGROUND: To increase the utilization of Community Health Service (CHS) centers for primary care, the Central Government of China has promoted the use of contracts-known as "service agreements" (SAs)-between patients and primary care physicians. This study sought to identify factors that predict who signed SAs and the association between SAs and frequency of primary care visits in a CHS center in Beijing. METHODS: Four years of electronic health record (EHR) data (2015 to 2018) were analyzed. Multivariate logistic regression analysis was performed to examine the tendency of patients to establish a SA. The pattern of the primary care visits between the SA and the non-SA groups was compared using Gamma regression models, controlling for demographic and comorbidity conditions. Contrast analysis was performed to assess the odds ratios of signing SAs among levels of a specific patient characteristic. RESULTS: Data from 32,682 adult CHS patients were collected. Of those, 66.4% had signed a SA. Patients who were female, older, more educated, married, employed, insured, or had comorbid conditions were more likely to sign SAs. Overall, having a SA was associated with a higher frequency of primary care visits for women and older patients, but not for the young and educated patients. CONCLUSIONS: The evidence provides an important consideration for reducing gaps in the use of primary care services during the nationwide transition from the fee-for-service specialty care system to the patient-centered primary care-driven medical home model.

A randomized matched-pairs study of feasibility, acceptability, and effectiveness of systems consultation: a novel implementation strategy for adopting clinical guidelines for Opioid prescribing in primary care.

BACKGROUND: This paper reports on the feasibility, acceptability, and effectiveness of an innovative implementation strategy named "systems consultation" aimed at improving adherence to clinical guidelines for opioid prescribing in primary care. While clinical guidelines for opioid prescribing have been developed, they have not been widely implemented, even as opioid abuse reaches epidemic levels. METHODS: We tested a blended implementation strategy consisting of several discrete implementation strategies, including audit and feedback, academic detailing, and external facilitation. The study compares four intervention clinics to four control clinics in a randomized matched-pairs design. Each systems consultant aided clinics on implementing the guidelines during a 6-month intervention consisting of monthly site visits and teleconferences/videoconferences. The mixed-methods evaluation employs the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Quantitative outcomes are compared using time series analysis. Qualitative methods included focus groups, structured interviews, and ethnographic field techniques. RESULTS: Seven clinics were randomly approached to recruit four intervention clinics. Each clinic designated a project team consisting of six to eight staff members, each with at least one prescriber. Attendance at intervention meetings was 83%. More than 80% of staff respondents agreed or strongly agreed with the statements: "I am more familiar with guidelines for safe opioid prescribing" and "My clinic's workflow for opioid prescribing is easier." At 6 months, statistically significant improvements were noted in intervention clinics in the percentage of patients with mental health screens, treatment agreements, urine drug tests, and opioid-benzodiazepine co-prescribing. At 12 months, morphine-equivalent daily dose was significantly reduced in intervention clinics compared to controls. The cost to deliver the strategy was $7345 per clinic. Adaptations were required to make the strategy more acceptable for primary care. Qualitatively, intervention clinics reported that chronic pain was now treated using approaches similar to those employed for other chronic conditions, such as hypertension and diabetes. CONCLUSIONS: The systems consultation implementation strategy demonstrated feasibility, acceptability, and effectiveness in a study involving eight primary care clinics. This multi-disciplinary strategy holds potential to mitigate the prevalence of opioid addiction and ultimately may help to improve implementation of clinical guidelines across healthcare. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02433496). https://clinicaltrials.gov/ct2/show/NCT02433496 Registered May 5, 2015.

Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

PURPOSE: Primary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non-face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours. METHODS: We conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from "event logging" records over a 3-year period for both direct patient care and non-face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours. RESULTS: Clinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%). CONCLUSIONS: Primary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation.

Primary care team communication networks, team climate, quality of care, and medical costs for patients with diabetes: A cross-sectional study.

BACKGROUND: Primary care teams play an important role in providing the best quality of care to patients with diabetes. Little evidence is available on how team communication networks and team climate contribute to high quality diabetes care. OBJECTIVE: To determine whether primary care team communication and team climate are associated with health outcomes, health care utilization, and associated costs for patients with diabetes. METHODS: A cross-sectional survey of primary care team members collected information on frequency of communication with other care team members about patient care and on team climate. Patient outcomes (glycemic, cholesterol, and blood pressure control, urgent care visits, emergency department visits, hospital visit days, medical costs) in the past 12 months for team diabetes patient panels were extracted from the electronic health record. The data were analyzed using nested (clinic/team/patient) generalized linear mixed modeling. PARTICIPANTS: 155 health professionals at 6 U.S. primary care clinics participated from May through December 2013. RESULTS: Primary care teams with a greater number of daily face-to-face communication ties among team members were associated with 52% (rate ratio=0.48, 95% CI: 0.22, 0.94) fewer hospital days and US$1220 (95% CI: -US$2416, -US$24) lower health-care costs per team diabetes patient in the past 12 months. In contrast, for each additional registered nurse (RN) who reported frequent daily face-to-face communication about patient care with the primary care practitioner (PCP), team diabetes patients had less-controlled HbA1c (Odds ratio=0.83, 95% CI: 0.66, 0.99), increased hospital days (RR=1.57, 95% CI: 1.10, 2.03), and higher healthcare costs (ß=US$877, 95% CI: US$42, US$1713). Shared team vision, a measure of team climate, significantly mediated the relationship between team communication and patient outcomes. CONCLUSIONS: Primary care teams which relied on frequent daily face-to-face communication among more team members, and had a single RN communicating patient care information to the PCP, had greater shared team vision, better patient outcomes, and lower medical costs for their diabetes patient panels.

Together Achieving More: Primary Care Team Communication and Alcohol-Related Healthcare Utilization and Costs.

BACKGROUND: Identifying and engaging excessive alcohol users in primary care may be an effective way to improve patient health outcomes, reduce alcohol-related acute care events, and lower costs. Little is known about what structures of primary care team communication are associated with alcohol-related patient outcomes. METHODS: Using a sociometric survey of primary care clinic communication, this study evaluated the relation between team communication networks and alcohol-related utilization of care and costs. Between May 2013 and December 2013, a total of 155 healthcare employees at 6 primary care clinics participated in a survey on team communication. Three-level hierarchical modeling evaluated the link between connectedness within the care team and the number of alcohol-related emergency department visits, hospital days, and associated medical care costs in the past 12 months for each team's primary care patient panel. RESULTS: Teams (n = 31) whose registered nurses displayed more strong (at least daily) face-to-face ties and strong (at least daily) electronic communication ties had 10% fewer alcohol-related hospital days (rate ratio [RR] = 0.90; 95% confidence interval [CI]: 0.84, 0.97). Furthermore, in an average team size of 19, each additional team member with strong interaction ties across the whole team was associated with $1,030 (95% CI: -$1,819, -$241) lower alcohol-related patient healthcare costs per 1,000 team patients in the past 12 months. Conversely, teams whose primary care practitioner (PCP) had more strong face-to-face communication ties and more weak (weekly or several times a week) electronic communication ties had 12% more alcohol-related hospital days (RR = 1.12; 95% CI: 1.03, 1.23) and $1,428 (95% CI: $378, $2,478) higher alcohol-related healthcare costs per 1,000 patients in the past 12 months. The analyses controlled for patient age, gender, insurance, and comorbidity diagnoses. CONCLUSIONS: Excessive alcohol-using patients may fair better if cared for by teams whose face-to-face and electronic communication networks include more team members and whose communication to the PCP has been streamlined to fewer team members.

Effects of primary care team social networks on quality of care and costs for patients with cardiovascular disease.

PURPOSE: Cardiovascular disease is the leading cause of mortality and morbidity in the United States. Primary care teams can be best suited to improve quality of care and lower costs for patients with cardiovascular disease. This study evaluates the associations between primary care team communication, interaction, and coordination (ie, social networks); quality of care; and costs for patients with cardiovascular disease. METHODS: Using a sociometric survey, 155 health professionals from 31 teams at 6 primary care clinics identified with whom they interact daily about patient care. Social network analysis calculated variables of density and centralization representing team interaction structures. Three-level hierarchical modeling evaluated the link between team network density, centralization, and number of patients with a diagnosis of cardiovascular disease for controlled blood pressure and cholesterol, counts of urgent care visits, emergency department visits, hospital days, and medical care costs in the previous 12 months. RESULTS: Teams with dense interactions among all team members were associated with fewer hospital days (rate ratio [RR] = 0.62; 95% CI, 0.50-0.77) and lower medical care costs (-$556; 95% CI, -$781 to -$331) for patients with cardiovascular disease. Conversely, teams with interactions revolving around a few central individuals were associated with increased hospital days (RR = 1.45; 95% CI, 1.09-1.94) and greater costs ($506; 95% CI, $202-$810). Team-shared vision about goals and expectations mediated the relationship between social network structures and patient quality of care outcomes. CONCLUSIONS: Primary care teams that are more interconnected and less centralized and that have a shared team vision are better positioned to deliver high-quality cardiovascular disease care at a lower cost.

Panel workload assessment in US primary care: accounting for non-face-to-face panel management activities.

PURPOSE: An understanding of primary care provider (PCP) workload is an important consideration in establishing optimal PCP panel size. However, no widely acceptable measure of PCP workload exists that incorporates the effort involved with both non-face-to-face patient care activities and face-to-face encounters. Accounting for this gap is critical given the increase in non-face-to-face PCP activities that has accompanied electronic health records (EHRs) (eg, electronic messaging). Our goal was to provide a comprehensive assessment of perceived PCP workload, accounting for aspects of both face-to-face and non-face-to-face encounters. METHODS: Internal medicine, family medicine, and pediatric PCPs completed a self-administered survey about the perceived workload involved with face-to-face and non-face-to-face panel management activities as well as the perceived challenge associated with caring for patients with particular biomedical, demographic, and psychosocial characteristics (n = 185). Survey results were combined with EHR data at the individual patient and PCP service levels to assess PCP panel workload, accounting for face-to-face and non-face-to-face utilization. RESULTS: Of the multiple face-to-face and non-face-to-face activities associated with routine primary care, PCPs considered hospital admissions, obstetric care, hospital discharges, and new patient preventive health visits to be greater workload than non-face-to-face activities such as telephone calls, electronic communication, generating letters, and medication refills. Total workload within PCP panels at the individual patient level varied by overall health status, and the total workload of non-face-to-face panel management activities associated with routine primary care was greater than the total workload associated with face-to-face encounters regardless of health status. CONCLUSIONS: We used PCP survey results coupled with EHR data to assess PCP workload associated with both face-to-face as well as non-face-to-face panel management activities in primary care. The non-face-to-face workload was an important contributor to overall PCP workload for all patients regardless of overall health status. This is an important consideration for PCP workload assessment given the changing nature of primary care that requires more non-face-to-face effort, resulting in an overall increase in PCP workload.

Analysis of guidelines for screening diabetes mellitus in an ambulatory population.

OBJECTIVES: To compare the case-finding ability of current national guidelines for screening diabetes mellitus and characterize factors that affect testing practices in an ambulatory population. PATIENTS AND METHODS: In this retrospective analysis, we reviewed a database of 46,991 nondiabetic patients aged 20 years and older who were seen at a large Midwestern academic physician practice from January 1, 2005, through December 31, 2007. Patients were included in the sample if they were currently being treated by the physician group according to Wisconsin Collaborative for Healthcare Quality criteria. Pregnant patients, diabetic patients, and patients who died during the study years were excluded. The prevalence of patients who met the American Diabetes Association (ADA) and/or US Preventive Services Task Force (USPSTF) criteria for diabetes screening, percentage of these patients screened, and number of new diabetes diagnoses per guideline were evaluated. Screening rates were assessed by number of high-risk factors, primary care specialty, and insurance status. RESULTS: A total of 33,823 (72.0%) of 46,991 patients met either the ADA or the USPSTF screening criteria, and 28,842 (85.3%) of the eligible patients were tested. More patients met the ADA criteria than the 2008 USPSTF criteria (30,790 [65.5%] vs 12,054 [25.6%]), and the 2008 USPSTF guidelines resulted in 460 fewer diagnoses of diabetes (33.1%). By single high-risk factor, prediabetes (15.8%) and polycystic ovarian syndrome (12.6%) produced the highest rates of diagnosis. The number of ADA high-risk factors predicted diabetes, with 6 (23%) of 26 patients with 6 risk factors diagnosed as having diabetes. Uninsured patients were tested significantly less often than insured patients (54.9% vs 85.4%). CONCLUSION: Compared with the ADA recommendations, the new USPSTF guidelines result in a lower number of patients eligible for screening and decrease case finding significantly. The number and type of risk factors predict diabetes, and lack of health insurance decreases testing.

Possible factors illuminating increased disparities in neonatal mortality in Wisconsin from 1991-2005.

BACKGROUND: Neonatal mortality has been perceived as one of the critical and sensitive measures that reflect not only the heath status of infants and their mothers, but also the general well-being of a society. However, our knowledge of racial disparities in neonatal mortality associated with low birth weight and short gestation is relatively limited. As part of continuing statewide efforts to achieve better birth outcomes, this study intends to develop a better understanding of potential mechanisms contributing to the discrepancy in neonatal mortality rates (NMR) to help public health practitioners formulate more effective interventions to prevent unnecessary infant deaths. OBJECTIVES: To assess racial/ethnic disparities in neonatal morality risks by infant birth weight and gestational age in Wisconsin from 1991 through 2005, and to provide more information for programs emphasizing the development of policies and environmental changes to reduce and prevent infant mortality in minority populations. METHODS: Linked birth/infant death data were obtained from the Wisconsin Interactive Statistics on Health (WISH) query system by birthweight, prematurity, race/ethnicity for the periods, 1991-1995, 1996-2000, and 2001-2006. The probability of neonatal mortality was analyzed through log-linear Poisson regression models to test for the pattern of variation of neonatal mortality risks in relation to infant's race/ethnicity, birth weight, prematurity, and their interactions. RESULTS: The proportion of the neonatal deaths to the infant deaths has gradually increased over time, and accounted for more than two-thirds of Wisconsin infant deaths. Despite a large decrease in white NMRs, neonatal mortality risks for blacks and Hispanics did not significantly change. This discord led to a widened racial/ethnic gap in NMRs. Substantial variations on neonatal mortality risks by birth weight and preterm birth were found among whites, blacks, and Hispanics infants. Notably, among low birth weight and preterm infants, blacks and Hispanics appeared to have more favorable NMRs than whites. White infants had the lowest NMRs only delivered at full-term and about 2500 g. CONCLUSION: Wisconsin infant mortality rates are largely driven by neonatal deaths. This shows an urgent need to develop effective public health interventions to prevent early neonatal deaths. To reduce racial/ethnic disparities in NMRs, the design of the interventions should also take into account the variation of the effects of birth weight and gestation age on neonatal mortality among racial/ethnic groups. It is hoped the result of this study will provide a critical understanding: when it comes to racial/ethnic disparities, there is far more to low birth weight or short gestational age than simply not having enough weight or days.

Monitoring racial/ethnic mortality disparities in Wisconsin: 1991-2000.

BACKGROUND: Wisconsin has a goal to eliminate health disparities by 2010, but there is no consistent standard used to evaluate progress. Methodological debates persist regarding using individual group change or relative comparisons to monitor disparities. OBJECTIVES: To examine mortality disparities among racial/ethnic populations in Wisconsin using statistically significant changes in individual population mortality rates and rate ratios as measures of disparity. These measures are proposed to monitor and evaluate progress in eliminating racial/ethnic health disparities. METHODS: The Wisconsin Interactive Statistics on Health database was queried to obtain Wisconsin all-cause mortality data by race and age for the 1991-1995 and 1996-2000 periods. Age-specific and age-adjusted rates were compared across 5 major racial/ethnic populations in Wisconsin. RESULTS: Age-adjusted mortality generally declined for all racial/ethnic populations in Wisconsin from 19911995 to 1996-2000. However, disparities increased significantly for African American infants, African Americans 45-64 years old, and Hispanics/Latinos 25-44 years old. Using non-Hispanic whites as a referent resulted in a paradoxical increase in disparities for Hispanics/Latinos despite a significant reduction in mortality in this group. CONCLUSION: A statistically significant percent change in mortality rates and rate ratios is a useful standard to monitor health disparities and foster communication and targeted action around Wisconsin's goal to eliminate racial/ethnic health disparities.