Innovative Use of a Mobile Web Application to Remotely Monitor Nonhospitalized Patients with COVID-19.

Introduction: Most patients with COVID-19 do not require hospitalization but may need close monitoring, which can strain primary care practices. Our objective was to describe the implementation of a mobile web application to monitor COVID-19 signs and symptoms among nonhospitalized primary care patients and to assess the feasibility and acceptability of the application. Study Design: Retrospective analysis of (1) mobile web application data from March through December 2020 and (2) cross-sectional surveys administered in June 2020. Materials and Methods: We enrolled nonhospitalized patients and staff from nine New England primary care practices across 29 sites. Outcomes included feasibility and acceptability of the application as measured by the proportion of texts that resulted in a response, proportion of patients who agreed using the application was easy, and proportion of practice staff who agreed the application reduced outreach burden and that they would recommend use. Results: Five thousand five hundred thirty-two patients used the mobile web application, with 26,466 total responses. Overall, 78% of the daily texts resulted in a response from patients. Most patients agreed that responding to texts was easy (95%) and that they would be willing to participate in other texting programs (78%). Most staff agreed that the program reduced burden of outreach (94%) and that they would recommend use to other practices (100%). Conclusions: Use of a COVID-19 symptom tracking application was feasible and acceptable to patients and primary care practice staff. Outpatient practices should consider use of mobile web applications to monitor nonhospitalized patients with other acute illnesses.

Concurrent Utilization of Prescription Opioids and Non-opioid Controlled Substances: Rhode Island Prescription Drug Monitoring Program, 2018.

OBJECTIVE: To estimate the prevalence of concurrent prescription opioid and non-opioid controlled substance use in Rhode Island (RI). METHODS: We conducted a cross sectional observational study using data from the RI Prescription Drug Monitoring Program on controlled substance prescriptions dispensed in 2018. We estimated the prevalence of concurrent use of other prescribed controlled substances among adults who received at least one opioid prescription. RESULTS: In 2018, 142,692 RI adult residents received at least one opioid prescription, of whom 25.1% (99% confidence interval [CI]: 24.8-25.4) were concurrently prescribed at least one other controlled substance, including benzodiazepines (17.0%, 99% CI: 16.8-17.3), medications for insomnia (4.0%, 99% CI: 3.9-4.2), and stimulants (3.8%, 99% CI: 3.6-3.9). CONCLUSION: The concurrent use of prescription opioids and other prescribed controlled substances is common. Our findings suggest an urgent need to implement focused initiatives to address controlled substance polypharmacy to reduce the risk of overdose.

Reducing Hospital Readmissions Through a Skilled Nursing Facility Discharge Intervention: A Pragmatic Trial.

OBJECTIVE: To determine if implementation of Project Re-Engineered Discharge (RED), designed for hospitals but adapted for skilled nursing facilities (SNFs), reduces hospital readmissions after SNF discharge to the community in residents admitted to the SNF following an index hospitalization. DESIGN: A pragmatic trial. SETTING AND PARTICIPANTS: SNFs in southeastern Massachusetts, and residents discharged to the community. METHODS: We compared SNFs that deployed an adapted RED intervention to a matched control group from the same region. The primary outcome was hospital readmission within 30 days after SNF discharge, among residents who had been admitted to the SNF following an index hospitalization and then discharged home. January 2016 through March 2017 was the baseline period; April 2017 through June 2018 was the follow-up period (after implementation of the intervention). We used a difference-in-differences analysis to compare the intervention SNFs to the control group, using generalized estimating equation regression and controlling for facility characteristics. RESULTS: After implementation of RED, readmission rates were lower across all 4 measures in the intervention group; control facilities' readmission rates remained stable or increased. The relative decrease was 0.9% for the primary outcome of hospital readmission within 30 days after SNF discharge and 1.7% for readmission within 30 days of the index hospitalization discharge date (P ≤ .001 for both comparisons). CONCLUSIONS AND IMPLICATIONS: We found that a systematic discharge process developed for the hospital can be adapted to the SNF environment and can reduce readmissions back to the hospital, perhaps through improved self-management skills and better engagement with community services. This work is particularly timely because of Medicare's new Value-Based Purchasing Program, in which nursing homes can receive incentive payments if their hospital readmission rates are low relative to their peers. To verify its scalability and broad potential, RED should be validated across a broader diversity of SNFs nationally.

Use of Chronic Care Management Codes for Medicare Beneficiaries: a Missed Opportunity?

BACKGROUND: Physicians spend significant time outside of regular office visits caring for complex patients, and this work is often uncompensated. In 2015, the Centers for Medicare & Medicaid Services (CMS) introduced a billing code for care coordination between office visits for beneficiaries with multiple chronic conditions. OBJECTIVE: Characterize use of the Chronic Care Management (CCM) code in New England in 2015. DESIGN: Retrospective observational analysis. PARTICIPANTS: All Medicare fee-for-service beneficiaries in New England continuously enrolled in Parts A and B in 2015. INTERVENTION: None. MAIN MEASURES: The primary outcome was the number of beneficiaries with a CCM claim per 1000 eligible beneficiaries. Secondary outcomes included the total number of CCM claims, total reimbursement, mean number of claims per beneficiary, and beneficiary characteristics independently associated with receiving CCM services. KEY RESULTS: Of the more than two million Medicare fee-for-service beneficiaries in New England, almost 1.7 million were potentially eligible for CCM services. Among eligible beneficiaries, 10,951 (0.65%) had a CCM claim in 2015. Massachusetts had the highest penetration of CCM use (9.40 claims per 1000 eligible beneficiaries); Vermont had the lowest (0.54 claims per 1000 eligible beneficiaries). Mean reimbursement per physician was $1745.98. Age, race/ethnicity, dual-eligible status, income, number of chronic conditions, and state of residence were associated with receiving CCM services in an adjusted model. CONCLUSIONS: The CCM code is likely underutilized in New England; the program may therefore not be achieving its intended goal of encouraging consistent, team-based chronic care management for Medicare's most complex beneficiaries. Or practices may be foregoing reimbursement for care coordination that they are already providing. Recently implemented revisions may improve uptake of CCM services; it will be important to compare our results with future utilization.

An analysis of diagnoses that drive readmission: What can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?

Background: The Hospital Readmission Reduction Program was instituted by the Centers for Medicare & Medicaid Services in 2012 to incentivize hospitals to reduce readmissions. OBJECTIVE: To examine the most common diagnoses driving readmissions among fee-for-service Medicare beneficiaries in the hospitals with the highest and lowest readmission performance in Southern New England from 2014 to 2016. METHODS: This is a retrospective observational study using publicly available Hospital Compare data and Medicare Part A claims data. Hospitals were ranked based on risk-adjusted excess readmission ratios. Patient demographic and hospital characteristics were compared for the two cohorts using t-tests. The percentages of readmissions in each cohort attributable to the top three readmission diagnoses were examined. RESULTS: Highest-performing hospitals readmitted a significantly lower percentage of black patients (p=0.03), were less urban (p<0.01), and had higher Hospital Compare Star ratings (p=0.01). Lowest-performing hospitals readmitted higher percentages of patients for sepsis (9.4% [95%CI: 8.8%-10.0%] vs. 8.1% [95%CI: 7.4%-8.7%]) and complications of device, implant, or graft (3.2% [95%CI: 2.5%-3.9%] vs. 0.2% [95%CI: 0.1%-0.6%]), compared to highest-performing hospitals. CONCLUSIONS: Ongoing efforts to improve care transitions may be strengthened by targeting early infection surveillance, promoting adherence to surgical treatment guidelines, and improving communication between hospitals and post-acute care facilities. [Full article available at http://rimed.org/rimedicaljournal-2017-08.asp].