Use of Telehealth Information for Early Detection: Insights From the COVID-19 Pandemic.

Objectives. To examine whether the addition of telehealth data to existing surveillance infrastructure can improve forecasts of cases and mortality. Methods. In this observational study, we compared accuracy of 14-day forecasts using real-time data available to the National Syndromic Surveillance Program (standard forecasts) to forecasts that also included telehealth information (telehealth forecasts). The study was performed in a national telehealth service provider in 2020 serving 50 US states and the District of Columbia. Results. Among 10.5 million telemedicine encounters, 169 672 probable COVID-19 cases were diagnosed by 5050 clinicians, with a rate between 0.79 and 47.8 probable cases per 100 000 encounters per day (mean = 8.37; SD = 10.75). Publicly reported case counts ranged from 0.5 to 237 916 (mean: 53 913; SD = 47 466) and 0 to 2328 deaths (mean = 1035; SD = 550) per day. Telehealth-based forecasts improved 14-day case forecasting accuracy by 1.8 percentage points to 30.9% (P = .06) and mortality forecasting by 6.4 percentage points to 26.9% (P < .048). Conclusions. Modest improvements in forecasting can be gained from adding telehealth data to syndromic surveillance infrastructure. (Am J Public Health. 2024;114(2):218-225. https://doi.org/10.2105/AJPH.2023.307499).

Trends in the Use of Telehealth During the Emergence of the COVID-19 Pandemic - United States, January-March 2020.

In February 2020, CDC issued guidance advising persons and health care providers in areas affected by the coronavirus disease 2019 (COVID-19) pandemic to adopt social distancing practices, specifically recommending that health care facilities and providers offer clinical services through virtual means such as telehealth.* Telehealth is the use of two-way telecommunications technologies to provide clinical health care through a variety of remote methods.† To examine changes in the frequency of use of telehealth services during the early pandemic period, CDC analyzed deidentified encounter (i.e., visit) data from four of the largest U.S. telehealth providers that offer services in all states.§ Trends in telehealth encounters during January-March 2020 (surveillance weeks 1-13) were compared with encounters occurring during the same weeks in 2019. During the first quarter of 2020, the number of telehealth visits increased by 50%, compared with the same period in 2019, with a 154% increase in visits noted in surveillance week 13 in 2020, compared with the same period in 2019. During January-March 2020, most encounters were from patients seeking care for conditions other than COVID-19. However, the proportion of COVID-19-related encounters significantly increased (from 5.5% to 16.2%; p<0.05) during the last 3 weeks of March 2020 (surveillance weeks 11-13). This marked shift in practice patterns has implications for immediate response efforts and longer-term population health. Continuing telehealth policy changes and regulatory waivers might provide increased access to acute, chronic, primary, and specialty care during and after the pandemic.

Antibiotic prescribing for acute respiratory infections during the coronavirus disease 2019 (COVID-19) pandemic: Patterns in a nationwide telehealth service provider.

We examined 3,046,538 acute respiratory infection (ARI) encounters with 6,103 national telehealth physicians from January 2019 to October 2021. The antibiotic prescribing rates were 44% for all ARIs; 46% were antibiotic appropriate; 65% were potentially appropriate; 19% resulted from inappropriate diagnoses; and 10% were related to coronavirus disease 2019 (COVID-19) diagnosis.

Seven-month pilot of an integrated, continuous evaluation, and quality improvement system for a state-based home-visiting program.

The objective of this study is to report the findings of a 7-month pilot for an integrated system evaluating a state-wide home visiting program. A cross-sectional study design was used to determine baseline process and outcome measures for Tennessee's home visiting program which provides services to families, from pregnancy through 5-years-old. Baseline process measures included: time to initiate service after referral; frequency, duration and intensity of visits; completion of continuous assessment; and time from identification of a need to referral. The baseline outcome measures included: needs of eligible services (e.g. developmental screenings, WIC); prenatal care utilization; biological risks (prematurity; low birth weight); tobacco use and second-hand smoke exposure; and family planning utilization. During the pilot, 3,794 families were enrolled, representing 68% (± 1.5%) of incoming referrals. Enrollment dropped from 82% (90 days) to 69% (120 days); 52% of the families received a visit every month. Ninety percent of families had at least one full assessment after enrollment; 60% occurred within the first 60 days. Over 92% of outgoing referrals were made within 7 days. Immunization status (70%) is below the state level (80.8%). A quarter of the infants enrolled in the program are low birth weight and premature (state level 9.2%). Current tobacco use by the prenatal population is 16% compared to the state, 19.7%. The HUGS program serves high risk/high need clients and is consistent with other national home visiting models that have shown higher levels of attrition and lower levels of visits than intended by the model.

Design and implementation of an integrated, continuous evaluation, and quality improvement system for a state-based home-visiting program.

To describe the design and implementation of an evaluation system to facilitate continuous quality improvement (CQI) and scientific evaluation in a statewide home visiting program, and to provide a summary of the system's progress in meeting intended outputs and short-term outcomes. Help Us Grow Successfully (HUGS) is a statewide home visiting program that provides services to at-risk pregnant/post-partum women, children (0-5 years), and their families. The program goals are to improve parenting skills and connect families to needed services and thus improve the health of the service population. The evaluation system is designed to: (1) integrate evaluation into daily workflow; (2) utilize standardized screening and evaluation tools; (3) facilitate a culture of CQI in program management; and, (4) facilitate scientifically rigorous evaluations. The review of the system's design and implementation occurred through a formative evaluation process (reach, dose, and fidelity). Data was collected through electronic and paper surveys, administrative data, and notes from management meetings, and medical chart review. In the design phase, four process and forty outcome measures were selected and are tracked using standardized screening and monitoring tools. During implementation, the reach and dose of training were adequate to successfully launch the evaluation/CQI system. All staff (n = 165) use the system for management of families; the supervisors (n = 18) use the system to track routine program activities. Data quality and availability is sufficient to support periodic program reviews at the region and state level. In the first 7 months, the HUGS evaluation system tracked 3,794 families (7,937 individuals). System use and acceptance is high. A successful implementation of a structured evaluation system with a strong CQI component is feasible in an existing, large statewide program. The evaluation/CQI system is an effective mechanism to drive modest change in management of the program.

The protocol of improving safe antibiotic prescribing in telehealth: A randomized trial.

BACKGROUND: The CDC estimates that over 40% of Urgent Care visits are for acute respiratory infections (ARI), more than half involving inappropriate antibiotic prescriptions. Previous randomized trials in primary care clinics resulted in reductions in inappropriate antibiotic prescribing, but antibiotic stewardship interventions in telehealth have not been systematically assessed. To better understand how best to decrease inappropriate antibiotic prescribing for ARIs in telehealth, we are conducting a large randomized quality improvement trial testing both patient- and physician-facing feedback and behavioral nudges embedded in the electronic health record. METHODS: Teladoc® clinicians are assigned to one of 9 arms in a 3 × 3 randomized trial. Each clinician is assigned to one of 3 Commitment groups (Public, Private, Control) and one of 3 Performance Feedback groups (Benchmark Peer Comparison, Trending, Control). After randomly selecting ⅓ of states and associated clinicians required for patient-facing components of the Public Commitment intervention, remaining clinicians are randomized to the Control and Private Commitment arms. Clinicians are randomized to the Performance Feedback conditions. The primary outcome is change from baseline in antibiotic prescribing rate for qualifying ARI visits. Secondary outcomes include changes in inappropriate prescribing and revisit rates. Secondary analyses include investigation of heterogeneity of treatment effects. With 1530 clinicians and an intra-clinician correlation in antibiotic prescribing rate of 0.5, we have >80% power to detect 1-7% absolute differences in antibiotic prescribing among groups. DISCUSSION: Findings from this trial may help inform telehealth stewardship strategies, determine whether significant differences exist between Commitment and Feedback interventions, and provide guidance for clinicians and patients to encourage safe and effective antibiotic use. CLINICALTRIALS: gov: NCT05138874.