Browsing by Subject "Appointments and Schedules"

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    Characteristics and Delivery of Diabetes Shared Medical Appointments in North Carolina.
    (North Carolina medical journal, 2019-09) Drake, Connor; Kirk, Julienne K; Buse, John B; Edelman, David; Shea, Christopher M; Spratt, Susan; Young, Laura A; Kahkoska, Anna R
    BACKGROUND Successful diabetes care requires patient engagement and health self-management. Diabetes shared medical appointments (SMAs) are an evidence-based approach that enables peer support, diabetes group education, and medication management to improve outcomes. The purpose of this study is to learn how diabetes SMAs are being delivered in North Carolina, including the characteristics of diabetes SMAs across the state.METHOD Twelve health systems in the state of North Carolina were contacted to explore clinical workflow and intervention characteristics with a member of the SMA care delivery team. Surveys were used to assess intervention characteristics and delivery.RESULTS Diabetes SMAs were offered in 10 clinics in 5 of the 12 health systems contacted with considerable heterogeneity across sites. The majority of SMAs were open cohorts (80%), offered monthly (60%) for 1.5 hours (60%). SMAs included a mean of 7.5 ± 3.4 patients with a maximum of 11.2 ± 2.7 patients. Survey data revealed barriers (cost-sharing and provider buy-in) to, and facilitators (leadership support and clinical champions) of, clinical adoption and sustained implementation.LIMITATIONS External validity is limited due to the small sample size and geographic clustering.CONCLUSION There is significant heterogeneity in the delivery and characteristics of diabetes SMAs in North Carolina with only modest uptake across the health systems. Further research to determine best practices and effectiveness in diverse, real-world clinical settings is required to inform implementation and dissemination efforts.
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    Closing the Referral Loop: an Analysis of Primary Care Referrals to Specialists in a Large Health System.
    (Journal of general internal medicine, 2018-05) Patel, Malhar P; Schettini, Priscille; O'Leary, Colin P; Bosworth, Hayden B; Anderson, John B; Shah, Kevin P
    PURPOSE:Ideally, a referral from a primary care physician (PCP) to a specialist results in a completed specialty appointment with results available to the PCP. This is defined as "closing the referral loop." As health systems grow more complex, regulatory bodies increase vigilance, and reimbursement shifts towards value, closing the referral loop becomes a patient safety, regulatory, and financial imperative. OBJECTIVE/DESIGN:To assess the ability of a large health system to close the referral loop, we used electronic medical record (EMR)-generated data to analyze referrals from a large primary care network to 20 high-volume specialties between July 1, 2015 and June 30, 2016. MAIN MEASURES:The primary metric was documented specialist appointment completion rate. Explanatory analyses included documented appointment scheduling rate, individual clinic differences, appointment wait times, and geographic distance to appointments. KEY RESULTS:Of the 103,737 analyzed referral scheduling attempts, only 36,072 (34.8%) resulted in documented complete appointments. Low documented appointment scheduling rates (38.9% of scheduling attempts lacked appointment dates), individual clinic differences in closing the referral loop, and significant differences in wait times and distances to specialists between complete and incomplete appointments drove this gap. Other notable findings include high variation in wait times among specialties and correlation between high wait times and low documented appointment completion rates. CONCLUSIONS:The rate of closing the referral loop in this health system is low. Low appointment scheduling rates, individual clinic differences, and patient access issues of wait times and geographic proximity explain much of the gap. This problem is likely common among large health systems with complex provider networks and referral scheduling. Strategies that improve scheduling, decrease variation among clinics, and improve patient access will likely improve rates of closing the referral loop. More research is necessary to determine the impact of these changes and other potential driving factors.
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    eConsults' Impact on Care Access and Wait Times in Rheumatology.
    (Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases, 2022-04) Malcolm, Elizabeth J; Brandon, Zachary; Wilson, Lauren E; Shoup, John Paul; King, Heather A; Lewinski, Allison; Greiner, Melissa A; Malone, Shauna; Miller, Julie; Keenan, Robert T; Tarrant, Teresa K; Phinney, Donna; Cho, Alex; Bosworth, Hayden B; Shah, Kevin

    Background/objective

    A growing number of health systems have implemented eConsults to improve access to specialty advice, but few studies have described their use in rheumatology or impact on visit wait times. We evaluated the uptake of an eConsult program and its impact on wait times for in-person rheumatology visits.

    Methods

    In this quality improvement project, we analyzed electronic health record data from 4 intervention clinics and 4 comparison clinics, 12 months before and after implementation of an eConsult program. We compared median wait time for rheumatology appointments using a pre-post difference-in-differences analysis and quantile regression, adjusting for patient age, race, sex, clinic pair, and primary insurance payer. We also interviewed 11 primary care providers from the intervention clinics and conducted a rheumatology provider focus group (n = 4) to elucidate experiences with the program.

    Results

    Rheumatologists recommended management in primary care or referral to another specialty for 41% of eConsults, reducing initial demand for in-person visits. The median wait times dropped in the intervention and the comparison clinics (42 and 25 days, respectively). Intervention clinic median wait time dropped 17 days more than comparison clinics, and this was nonstatistically significant (p = 0.089). eConsults fit provider care tasks best for triage or initial workup for diagnosis, and less well when tests required interpretation, or when back and forth communication was needed to manage the patient's condition.

    Conclusions

    Implementation of eConsults for rheumatology was associated with reduced wait times for rheumatology appointments and supported primary care providers in the triage and workup for a substantial portion of patients.
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    Transportation as a barrier to colorectal cancer care.
    (BMC health services research, 2021-04) Jazowski, Shelley A; Sico, Isabelle P; Lindquist, Jennifer H; Smith, Valerie A; Bosworth, Hayden B; Danus, Susanne; Provenzale, Dawn; Kelley, Michael J; Zullig, Leah L

    Background

    Transportation barriers limit access to cancer care services and contribute to suboptimal clinical outcomes. Our objectives were to describe the frequency of Veterans reporting and the factors associated with transportation barriers to or from colorectal cancer (CRC) care visits.

    Methods

    Between November 2015 and September 2016, Veterans with incident stage I, II, or III CRC completed a mailed survey to assess perceived barriers to recommended care. Participants who reported difficulty with transportation to or from CRC care appointments were categorized as experiencing transportation barriers. We assessed pairwise correlations between transportation barriers, transportation-related factors (e.g., mode of travel), and chaotic lifestyle (e.g., predictability of schedules), and used logistic regression to examine the association between the reporting of transportation difficulties, distance traveled to the nearest Veterans Affairs (VA) facility, and life chaos.

    Results

    Of the 115 Veterans included in this analysis, 18% reported experiencing transportation barriers. Distance to the VA was not strongly correlated with the reporting of transportation barriers (Spearman's ρ = 0.12, p = 0.19), but chaotic lifestyle was both positively and significantly correlated with experiencing transportation barriers (Spearman's ρ = 0.22, p = 0.02). Results from the logistic regression model modestly supported the findings from the pairwise correlations, but were not statistically significant.

    Conclusions

    Transportation is an important barrier to or from CRC care visits, especially among Veterans who experience greater life chaos. Identifying Veterans who experience chaotic lifestyles would allow for timely engagement in behavioral interventions (e.g., organizational skills training) and with support services (e.g., patient navigation).