Leppin, Aaron L.

AbstractIntroductionMany evidence‐based programs (EBPs) have been determined in randomized controlled trials to be effective, but few studies explore the real‐world effectiveness of EBPs implemented in the natural community setting. Our study evaluated whether a novel linked infrastructure would enable such insights and continuous improvement as part of a learning healthcare‐community bridged “wellcare” ecosystem.MethodsWe created a secure, web‐based data entry and storage platform with a network of Minnesota community‐based organizations to record EBP participants' demographics and attendance, and program details. We then linked participant's information to their Rochester Epidemiology Project (REP) medical records. With this infrastructure, we conducted a proof of concept, retrospective cohort study by matching EBP participants to REP controls and comparing medical record‐documented outcomes over 1 year follow‐up.ResultsWe successfully linked EBP participant records with medical records in 77.6% of cases, and the infrastructure proved feasible and scalable. Still, key challenges remain in obtaining participant consent for data sharing. Upfront resource investments and the availability of REP‐like warehouses limit generalizability. Optimal learning will be improved by enhancements that better track program fidelity. Our pilot study established a proof‐of‐concept, but sample sizes (n = 99 for falls prevention and n = 97 chronic disease/pain management EBP completers) were too small to detect significant differences in hospital admittance as compared to matched controls for either EBP group, (OR = 0.66[0.36, 1.19]) and (OR = 0.81[0.43, 1.54]), respectively. Events were too rare to gather meaningful information about effects on fall rates.ConclusionsOur pilot demonstrates the feasibility of developing an online infrastructure that connects information from community leaders with medical record documented health outcomes, bridging the knowledge gap between community programs and the health care system. Insights gleaned from our infrastructure can be used to continuously shape community program delivery to reduce the need for formal health care services.

PURPOSE: To describe the frequency, content, dynamics, and patterns of cost conversations in academic medical oncology across tumor types. PATIENTS AND METHODS: We reviewed 529 audio recordings between May 3, 2012, to September 23, 2014, from a prospective three-site communication study in which patients at any stage of management for any solid tumor malignancy were seen in routine oncology appointments. Recordings were deidentified, transcribed, and flagged for any mention of cost. We coded encounters and used qualitative thematic analysis. RESULTS: Financial issues were discussed in 151 (28%) of 529 recordings. Conversations lasted shorter than 2 minutes on average. Patients/caregivers raised a majority of discussions (106 of 151), and 40% of cost concerns raised by patients/caregivers were not verbally acknowledged by clinicians. Social service referrals were made only six times. Themes from content analysis were related to insurance eligibility/process, work insecurity, cost of drugs, cost used as tool to influence medical decision making, health care–specific costs, and basic needs. Financial concerns influenced oncology work processes via test or medication coverage denials, creating paperwork for clinicians, potentially influencing patient involvement in trials, and leading to medication self-rationing or similar behaviors. Typically, financial concerns were associated with negative emotions. CONCLUSION: Financial issues were raised in approximately one in four academic oncology visits. These brief conversations were usually initiated by patients/caregivers, went frequently unaddressed by clinicians, and seemed to influence medical decision making and work processes and contribute to distress. Themes identified shed light on the kinds of gaps that must be addressed to help patients with cancer cope with the rising cost of care.

Abstract Background Little is known about how complementary and alternative medicine (CAM) is discussed in cancer care across varied settings in the U.S. Methods In two practices affiliated with one academic medical center in southern California (SoCal), and one in the upper Midwest (UM), we audio-recorded patient-clinician interactions in medical oncology outpatient practices. We counted the frequency and duration of CAM-related conversations. We coded recordings using the Roter Interaction Analysis System. We used chi-square tests for bivariate analysis of categorical variables and generalized linear models for continuous variables to examine associations between dialogue characteristics, practice setting, and population characteristics with the occurrence of CAM discussion in each setting followed by multivariate models adjusting for clinician clustering. Results Sixty-one clinicians and 529 patients participated. Sixty-two of 529 (12%) interactions included CAM discussions, with significantly more observed in the SoCal university practice than in the other settings. Visits that included CAM were on average 6 minutes longer, with CAM content lasting an average of 78 seconds. In bivariate tests of association, conversations containing CAM included more psychosocial statements from both clinicians and patients, higher patient-centeredness, more positive patient and clinician affect, and greater patient engagement. In a multivariable model including significant bivariate terms, conversations containing CAM were independently associated with higher patient-centeredness, slightly longer visits, and being at the SoCal university site. Conclusion The frequency of CAM-related discussion in oncology varied substantially across sites. Visits that included CAM discussion were longer and more patient centered. Implications for Practice The Institute of Medicine and the American Society of Clinical Oncology have called for more open discussions of complementary and alternative medicine (CAM). But little is known about the role population characteristics and care contexts may play in the frequency and nature of those discussions. The present data characterizing actual conversations in practice complements a much larger literature based on patient and clinician self-report about CAM disclosure and use. It was found that CAM discussions in academic oncology visits varied significantly by practice context, that the majority were initiated by the patient, and that they may occur more when visit time exists for lifestyle, self-care, and psychosocial concerns.

BACKGROUNDAlthough posthospitalization care transitions programs (CTP) are highly diverse, their overall program thoroughness is most predictive of their success.OBJECTIVETo identify components of a successful homebased CTP and patient characteristics that are most predictive of reduced 30‐day readmissions.DESIGNRetrospective cohort.PATIENTSA total of 315 community‐dwelling, hospitalized, older adults (≥60 years) at high risk for readmission (Elder Risk Assessment score ≥16), discharged home over the period of January 1, 2011 to June 30, 2013.SETTINGMidwest primary care practice in an integrated health system.INTERVENTIONEnrollment in a CTP during acute hospitalization.MEASUREMENTSThe primary outcome was all‐cause readmission within 30 days of the first CTP evaluation. Logistic regression was used to examine independent variables, including patient demographics, comorbidities, number of medications, completion, and timing of program fidelity measures, and prior utilization of healthcare.RESULTSThe overall 30‐day readmission rate was 17.1%. The intensity of follow‐up varied among patients, with 17.1% and 50.8% of the patients requiring one and ≥3 home visits, respectively, within 30 days. More than half (54.6%) required visits beyond 30 days. Compared with patients who were not readmitted, readmitted patients were less likely to exhibit cognitive impairment (29.6% vs 46.0%; P = .03) and were more likely to have high medication use (59.3% vs 44.4%; P = .047), more emergency department (ED; 0.8 vs 0.4; P = .03) and primary care visits (4.0 vs 3.0; P = .018), and longer cumulative time in the hospital (4.6 vs 2.5 days; P = .03) within 180 days of the index hospitalization. Multivariable analysis indicated that only cognitive impairment and previous ED visits were important predictors of readmission.CONCLUSIONSNo single CTP component reliably predicted reduced readmission risk. Patients with cognitive impairment and polypharmacy derived the most benefit from the program.

6512 Background: Cancer patients are nearly 3x more likely to declare bankruptcy than people without cancer. However, little is known about the dynamics of the healthcare provider/patient (pt) conversations around cost issues, the range of topics explored, and the factors that may influence them. We reviewed audio recordings of a cross-section of medical oncology conversations to determine frequency, patterns and attitudes of pts and providers on cost. Methods: We audio recorded conversations between 5/3/2012 & 11/20/2013 for adult patients with any solid tumor malignancy seen in an outpatient medical oncology clinic at one of three sites in the Upper Midwest and Southern California. Basic demographic variables were abstracted from chart review. Recordings were de-identified, reviewed and flagged for any mention of cost. We used descriptive statistics and inductive qualitative content coding methods to further characterize conversation themes. Results: Among 525 recordings, 151 (28%) contained any mention of cost. Median age (range) of pts was 58 years (22-93), and 75% Caucasian, 18% Hispanic, 5% Asian, and 1% Black. Average length of cost discussions was < 2 minutes, and pts usually initiated the discussion (106 /151). Among the 151 conversations, social service referrals were mentioned only 6 times (4%). Through qualitative analysis we identified several key topics: insurance coverage, disability, drug copays, and transportation. The recording dynamics most frequently displayed acknowledging but not taking action on the part of clinicians. Only 25% of clinicians behave confidently in how to address a patients cost concerns. Conclusions: In a diverse cross-section of oncology visits, cost comes up only 1/4 to 1/3 of the time and focuses on insurance coverage, disability and out of pocket drug costs. However clinicians often leave these issues unaddressed. Discussing financial burdens and identifying way to improve existing conversations will be important to mitigate additional financial distress. [Table: see text]

Background. Shared decision making (SDM) is recommended prior to initiation of statin therapy for primary prevention but is underutilized. We designed an informatics decision-support tool to facilitate use of the Mayo Clinic Statin Choice decision aid at the point-of-care and evaluated its impact. Methods. Using an iterative approach, we designed and implemented a single-click decision-support tool embedded within the electronic health records (EHRs) to automate the calculation of 10-year atherosclerotic cardiovascular disease (ASCVD) risk and populate the Statin Choice decision aid. We surveyed primary care providers at two clinics regarding their attitudes about SDM before and after deployment of intervention, as well as their usage of and perceived competence regarding SDM for primary prevention statin therapy. Three-month web traffic to the Statin Choice website was calculated before and after deployment of the intervention. Results. Pre–post surveys were completed by 60 primary care providers (24 [40%] attending physicians and 36 [60%] housestaff physicians). After deployment of the EHR tool, respondents were more aware of the Statin Choice decision aid ( P < 0.001), reported being more competent regarding SDM ( P = 0.047), and reported using decision aids more often when considering statin initiation ( P = 0.043). There was no significant change in attitudes about SDM as measured through the Patient Provider Orientation Scale (pre 4.23 ± 0.40 v. post 4.16 ± 0.38, P = 0.11) and the SDM belief scale (pre 21.4 ± 2.1 v. post 21.1 ± 2.0, P = 0.35). Web-based usage rates for the Statin Choice decision aid increased from 3.4 to 5.2 per 1,000 outpatient clinic visits ( P = 0.002). Conclusions. Implementation of a point-of-care decision-support tool increased the usage of decision aids for primary prevention statin therapy. This effect does not appear to be mediated by any concomitant changes in physician attitude toward SDM.