Routine HIV clinic visit adherence in the African Cohort Study

Background Retention in clinical care is important for people living with HIV (PLWH). Evidence suggests that missed clinic visits are associated with interruptions in antiretroviral therapy (ART), lower CD4 counts, virologic failure, and overlooked coinfections. We identified factors associated with missed routine clinic visits in the African Cohort Study (AFRICOS). Methods In 2013, AFRICOS began enrolling people with and without HIV in Uganda, Kenya, Tanzania, and Nigeria. At enrollment and every 6 months thereafter, sociodemographic questionnaires are administered and clinical outcomes assessed. Missed clinic visits were measured as the self-reported number of clinic visits missed in the past 6 months and dichotomized into none or one or more visits missed. Logistic regression with generalized estimating equations was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between risk factors and missed visits. Results Between January 2013 and March 2020, 2937 PLWH were enrolled, of whom 2807 (95.6%) had initiated ART and 2771 had complete data available for analyses. Compared to PLWH 50+, missed clinic visits were more common among those 18–29 years (aOR 2.33, 95% CI 1.65–3.29), 30–39 years (aOR 1.59, 95% CI 1.19–2.13), and 40–49 years (aOR 1.42, 95% CI 1.07–1.89). As compared to PLWH on ART for < 2 years, those on ART for 4+ years were less likely to have missed clinic visits (aOR 0.72, 95% CI 0.55–0.95). Missed clinic visits were associated with alcohol use (aOR 1.34, 95% CI 1.05–1.70), a history of incarceration (aOR 1.42, 95% CI 1.07–1.88), depression (aOR 1.47, 95% CI 1.13–1.91), and viral non-suppression (aOR 2.50, 95% CI 2.00–3.12). As compared to PLWH who did not miss any ART in the past month, missed clinic visits were more common among those who missed 1–2 days (aOR 2.09, 95% CI 1.65–2.64) and 3+ days of ART (aOR 7.06, 95% CI 5.43–9.19). Conclusions Inconsistent clinic attendance is associated with worsened HIV-related outcomes. Strategies to improve visit adherence are especially needed for young PLWH and those with depression.

The success of behavioral economics in improving patient retention within an intensive primary care practice

Background A minority of the U.S. population comprises a majority of health care expenses. Health system interventions for high-cost populations aim to improve patient outcomes while reducing costly over-utilization. Missed and inconsistent appointments are associated with poor patient outcomes and increased health care utilization. PEAK Health— Mount Sinai’s intensive primary care clinic for high-cost patients— employed a novel behavioral economics-based intervention to reduce the rate of missed appointments at the practice. Behavioral economics has accomplished numerous successes across the health care field; the effect of a clinic-based behavioral economics intervention on reducing missed appointments has yet to be assessed. Methods This was a single-arm, pre-post trial conducted over 1 year involving all active patients at PEAK Health. The intervention consisted of: a) clinic signage, and b) appointment reminder cards containing behavioral economics messaging designed to increase the likelihood patients would complete their subsequent visit; appointment cards (t1) were transitioned to an identical EMR template (t2) at 6 months to boost provider utilization. The primary objective, the success of scheduled appointments, was assessed with visit adherence: the proportion of successful over all scheduled appointments, excluding those cancelled or rescheduled. The secondary objective, the consistency of appointments, was assessed with a 2-month visit constancy rate: the percentage of patients with at least one successful visit every 2 months for 1 year. Both metrics were assessed via a χ2 analysis and together define patient retention. Results The visit adherence rate increased from 74.7% at baseline to 76.5% (p = .22) during t1 and 78.0% (p = .03) during t2. The 2-month visit constancy rate increased from 59.5% at baseline to 74.3% (p = .01) post-intervention. Conclusions A low-resource, clinic-based behavioral economics intervention was capable of improving patient retention within a traditionally high-cost population. A renewed focus on patient retention— employing the metrics described here— could bolster chronic care efforts and significantly improve the outcomes of high-cost programs by reducing the deleterious effects of missed and inconsistent appointments.

Adherence to Hepatitis C Therapy in a Shelter-Based Education and Treatment Model among Persons Experiencing Homelessness

Background Medication adherence is a common reason for treatment deferment in persons experiencing homelessness. We evaluated adherence to HCV therapy following HCV education in a shelter-based care model. Methods Prospective study conducted at 4 homeless shelters in Minneapolis, MN and San Francisco, CA from 11/2018–1/2021. Sixty-three patients underwent HCV education and treatment. Multivariable modeling evaluated factors associated with (1) medication and (2) overall (composite score of medication, laboratory, and clinic visit) adherence. Results Median age was 56, 73% male, 43% Black, 52% had psychiatric illness, and 81% used illicit drugs and 60% used alcohol in the past year. Following education, 52% were extremely confident in their ability to be adherent to HCV therapy. Medication adherence by patient and provider report was 88% and 48% respectively and 81% achieved HCV cure. Active alcohol use was associated with less confidence in medication adherence (43% vs. 78%, P=0.04). Older age was positively (Coef=0.3) associated with overall adherence to HCV treatment while prior therapy was associated with both medication (OR=0.08) and overall treatment (Coef=-0.87) non-adherence. Conclusions Despite imperfect adherence, SVR rates were still high. Expanding opportunities to treat persons experiencing homelessness in a structured and supportive setting is critical to HCV elimination efforts.

The Success Of Behavioral Economics In Improving Patient Retention Within An Intensive Primary Care Practice

BackgroundA minority of the U.S. population comprises a majority of health care expenses. Health system interventions for high-cost populations aim to improve patient outcomes while reducing costly over-utilization. Missed and inconsistent appointments are associated with poor patient outcomes and increased health care utilization. PEAK Health— Mount Sinai’s intensive primary care clinic for high-cost patients— employed a novel behavioral economics-based intervention to reduce the rate of missed appointments at the practice. Behavioral economics has accomplished numerous successes across the health care field; the effect of a clinic-based behavioral economics intervention on reducing missed appointments has yet to be assessed.MethodsThis was a single-arm, pre-post trial conducted over one year involving all active patients (286) at PEAK Health. The intervention consisted of: a) clinic signage, and b) appointment reminder cards containing behavioral economics messaging designed to increase the likelihood patients would complete their subsequent visit; appointment cards (t1) were transitioned to an identical EMR template (t2) at 6 months to boost utilization of this component. The primary objective, the success of scheduled appointments, was assessed with visit adherence: the proportion of successful over all scheduled appointments, excluding those cancelled or rescheduled. The secondary objective, the consistency of appointments, was assessed with a 2-month visit constancy rate: the percentage of patients with at least one successful visit every two months for one year. Both metrics were assessed via a χ² analysis and together define patient retention. ResultsThe visit adherence rate increased from 74.7% at baseline to 76.5% (p= .22) during t1 and 78.0% (p= .03) during t2. The 2-month visit constancy rate increased from 59.5% at baseline to 74.3% (p= .01) post-intervention.ConclusionsA low-resource, clinic-based behavioral economics intervention was capable of improving patient retention within a traditionally high-cost population. A renewed focus on patient retention— employing the metrics described here— could bolster chronic care efforts and significantly improve the outcomes of high-cost programs by reducing the deleterious effects of missed and inconsistent appointments.

Development and Validation of a Multivariable Prediction Model for Missed HIV Healthcare Provider Visits in a Large United States Clinical Cohort

Background Identifying individuals at high risk of missing HIV care provider visits could support proactive intervention. Previous prediction models for missed visits have not incorporated data beyond the individual-level. Methods We developed prediction models for missed visits among people living with HIV (PLWH) with ≥1 follow-up visit in the Center for AIDS Research Network of Integrated Clinical Systems from 2010-2016. Individual-level (medical record data and patient-reported outcomes), community-level (American Community Survey), HIV care site-level (standardized clinic leadership survey), and structural-level (HIV criminalization laws, Medicaid expansion, and state AIDS Drug Assistance Program budget) predictors were included. Models were developed using random forests with 10-fold cross-validation; candidate models with highest area under the curve (AUC) were identified. Results Data from 382,432 visits among 20,807 PLWH followed for a median of 3.8 years were included; median age was 44 years, 81% were male, 37% were Black, 15% reported injection drug use, and 57% reported male-to-male sexual contact. The highest AUC was 0.76 and strongest predictors were at the individual-level (prior visit adherence, age, CD4+ count) and community-level (proportion living in poverty, unemployed, and of Black race). A simplified model, including readily accessible variables available in a web-based calculator, had a slightly lower AUC of 0.700. Conclusions Prediction models validated using multi-level data had a similar AUC to previous models developed using only individual-level data. Strongest predictors were individual-level variables, particularly prior visit adherence, though community-level variables were also predictive. Absent additional data, PLWH with previous missed visits should be prioritized by interventions to improve visit adherence.

COVD-14. TELEMEDICINE REVIEW IN NEURO-ONCOLOGY: COMPARATIVE EXPERIENTIAL ANALYSIS FOR BARROW NEUROLOGICAL INSTITUTE AND GEISINGER HEALTH DURING THE 2020 COVID-19 PANDEMIC

Coronavirus disease 2019 (COVID-19) has grossly impacted how we deliver healthcare and how healthcare institutions derive value from the care provided. at increased infectious risk on immunosuppressive therapies and often have mobility limitations. Adapting to new technologies and reimbursement patterns were challenges that had to be met by the institutions while patients struggled with decisions to prioritize concerns and to identify new pathways to care. With the implementation of social distancing practices, telemedicine plays an increasing role in patient care delivery, particularly in the field of Neurology. This is of particular concern in our cancer patient population given that these patients are often at increased infectious risk on immunosuppressive therapies and often have mobility limitations. We reviewed telemedicine practices in neurology pre-/post-COVID-19 and evaluated the neuro-oncology clinical practice approaches of two large care systems, Barrow Neurological Institute and Geisinger Health. Practice metrics were collected for impact on clinic volumes, institutional recovery techniques, and task force development to address COVID-19 specific issues. Neuro-Oncology divisions reached &gt;67% of pre-pandemic capacity (patient visits and slot utilization) within 3-weeks and returned to &gt;90% capacity within 6-weeks of initial closures due to COVID-19. The two health systems rapidly and effectively implemented telehealth practices to recover patient volumes. While telemedicine will not replace the in-person clinical visit, telemedicine will likely continue to be an integral part of neuro-oncologic care. Telemedicine has potential for expanding access in remote areas and provides a convenient alternative to patients with limited mobility, transportation, or other socioeconomic complexities that otherwise challenge patient visit adherence.

Does distance from a clinic and poverty impact visit adherence for noncommunicable diseases? A retrospective cohort study using electronic medical records in rural Haiti

Background Adherence to regular outpatient visits is vital to managing noncommunicable diseases (NCDs), a growing burden in low and middle-income countries. We characterized visit adherence among patients with NCDs in rural Haiti, hypothesizing higher poverty and distance from the clinic were associated with lower adherence. Methods We analyzed electronic medical records from a cohort of adults in an NCD clinic in Mirebalais, Haiti (April 2013 to June 2016). Visit adherence was: 1) visit constancy (≥1 visit every 3 months), 2) no gaps in care (> 60 days between visits), 3) ≥1 visit in the last quarter, and 4) ≥6 visits per year. We incorporated an adapted measure of intensity of multidimensional poverty. We calculated distance from clinic as Euclidean distance or self-reported transit time. We used multivariable logistic regressions to assess the association between poverty, distance, and visit adherence. Results We included 463 adult patients, mean age 57.8 years (SE 2.2), and 72.4% women. Over half of patients had at least one visit per quarter (58.1%), but a minority (19.6%) had no gaps between visits. Seventy percent of patients had a visit in the last quarter, and 73.9% made at least 6 visits per year. Only 9.9% of patients met all adherence criteria. In regression models, poverty was not associated with any adherence measures, and distance was only associated with visit in the last quarter (OR 0.87, 95% CI [0.78 to 0.98], p = 0.03) after adjusting for age, sex, and hardship financing. Conclusions Visit adherence was low in this sample of adult patients presenting to a NCD Clinic in Haiti. Multidimensional poverty and distance from clinic were not associated with visit adherence measures among patients seen in the clinic, except for visit in the last quarter. Future research should focus on identifying and addressing barriers to visit adherence.

Distance from the endocrinology clinic and diabetes control in a rural pediatric population

ObjectiveWe analyzed the impact of geographic distance from the clinic on adherence to recommended clinic visits and diabetes control among patients with type 1 diabetes (T1D) seen in a pediatric endocrinology clinic serving a rural region in eastern North Carolina.MethodsWe retrospectively included patients with T1D age ≤20 years seen in our clinic during 2017. Outcomes were tracked until June 2018. Distance from the clinic was determined according to the zone improvement plan (ZIP) code of patient address. Visit adherence was defined based on the number of attended visits during the study period, aiming for 1 every 3 months. Glycated hemoglobin (HbA1c) was measured at the first and last visits during the review periodResultsThe analysis included 368 patients, of whom 218 (59%) completed at least 1 visit every 3 months. The median HbA1c was 9.1 (interquartile range [IQR]: 8.0, 10.3) at the initial visit, and 9.3 (IQR: 8.0, 11.1) at the final visit. Median distance from the clinic was 56 km (IQR: 35, 86). On multivariable logistic regression, greater distance from the clinic was associated with lower odds of visit adherence (odds ratio per 10 km: 0.93; 95% confidence interval: 0.87, 0.99; p=0.030). Neither distance to the clinic nor clinic visit adherence were associated with HbA1c.ConclusionsPatients living further away from the clinic were less likely to adhere to the recommended visit schedule, but distance was not correlated with HbA1c levels. Further work is needed to assist families living far from the clinic with adhering to recommended visits.