Non-attendance at an out-patient otolaryngology and head and neck clinic in New Zealand: impact of coronavirus disease 2019, and demographic, clinical and environmental factors.

BACKGROUND: Fear of contracting coronavirus disease 2019 may be the latest addition to the barriers to clinic attendance. This study aimed to examine the impact of coronavirus disease 2019 and other variables on non-attendance rate at an out-patient clinic. METHODS: Clinic attendance at the Department of Otolaryngology and Head and Neck Surgery, Waikato Hospital, New Zealand, was assessed. For each appointment, the impact of coronavirus disease 2019 and other variables on non-attendance rate were analysed. RESULTS: In total, 1963 appointments were scheduled, with 194 non-attendances (9.9 per cent). Patients who had their appointments confirmed beforehand were 10.0 times more likely to attend their appointment. Sex, socioeconomic status, ethnicity and age were found to impact non-attendance rate. CONCLUSION: In New Zealand, coronavirus disease 2019 does not appear to be a barrier to out-patient clinic appointment attendance. The patient's age, sex, ethnicity, socioeconomic status and prior appointment confirmation were found to influence clinic attendance.

Viral suppression rates in a safety-net HIV clinic in San Francisco destabilized during COVID-19.

: The COVID-19 pandemic is expected to hinder US End the HIV Epidemic goals. We evaluated viral suppression and retention-in-care before and after telemedicine was instituted, in response to shelter-in-place mandates, in a large, urban HIV clinic. The odds of viral nonsuppression were 31% higher postshelter-in-place (95% confidence interval = 1.08-1.53) in spite of stable retention-in-care and visit volume, with disproportionate impact on homeless individuals. Measures to counteract the effect of COVID-19 on HIV outcomes are urgently needed.

Impact of the COVID-19 Pandemic on Lung Cancer Screening Program and Subsequent Lung Cancer.

BACKGROUND: Low-dose CT (LDCT) screening reduces lung cancer mortality by at least 20%. The COVID-19 pandemic required an unprecedented shutdown in our institutional LDCT program. The purpose of this study was to examine the impact of COVID-19 on lung cancer screening and subsequent cancer diagnosis. STUDY DESIGN: We analyzed our prospective institutional LDCT screening database, which began in 2012. In all, 2,153 patients have participated. Monthly mean number of LDCTs were compared between baseline (January 2017 to February 2020) and COVID-19 periods (March 2020 to July 2020). RESULTS: LDCT was suspended on March 13, 2020 and 818 screening visits were cancelled. Phased reopening began on May 5, 2020 and full opening on June 1, 2020. Total monthly mean ± SD LDCTs (146 ± 31 vs 39 ± 40; p < 0.01) and new patient monthly LDCTs (56 ± 14 vs 15 ± 17; p < 0.01) were significantly decreased during the COVID-19 period. New patient monthly LDCTs have remained low despite resuming full operations. Three- and 6-month interval follow-up LDCTs were prioritized and were significantly increased compared with baseline (11 ± 4 vs 30 ± 4; p < 0.01). The "no-show" rate was significantly increased from baseline (15% vs 40%; p < 0.04). Most concerning, the percentage of patients with lung nodules suspicious for malignancy (Lung-RADS 4) were significantly increased after screenings resumed (8% vs 29%; p < 0.01). CONCLUSIONS: COVID-19 caused significant disruption in lung cancer screening, leading to a decrease in new patients screened and an increased proportion of nodules suspicious for malignancy once screening resumed. Using lung cancer and the LDCT screening program as a model, this early analysis showed the unrecognized consequences related to the pandemic for screening programs and cancer care.

Changing Patterns of Medical Visits and Factors Associated with No-show in Patients with Rheumatoid Arthritis during COVID-19 Pandemic.

BACKGROUND: The main barrier to the effective rheumatoid arthritis (RA) therapy is poor adherence. Coronavirus disease 2019 (COVID-19) pandemic have led to a significant change in the pattern and the number of medical visits. We assessed changing patterns of medical visits and no-show, and identified factors associated with no-show in patients with RA during COVID-19 pandemic. METHODS: RA patients treated with disease-modifying antirheumatic drugs at least 6 months who had been in remission or those with mild disease activity were observed for 6 months from February to July 2020. No-show was defined as a missed appointment that was not previously cancelled by the patient and several variables that might affect no-show were examined. RESULTS: A total of 376 patients and 1,189 appointments were evaluated. Among 376 patients, 164 patients (43.6%) missed appointment more than one time and no-show rate was 17.2% during COVID-19 pandemic. During the observation, face-to-face visits gradually increased and no-show gradually decreased. The logistic regression analysis identified previous history of no-show (adjusted odds ratio [OR], 2.225; 95% confidence interval [CI], 1.422-3.479; P < 0.001) and fewer numbers of comorbidities (adjusted OR, 0.749; 95% CI, 0.584-0.961; P = 0.023) as the independent factors associated with no-show. CONCLUSION: Monthly analysis showed that the no-show rate and the pattern of medical visits gradually changed in patients with RA during COVID-19 pandemic. Moreover, we found that previous history of no-show and fewer numbers of comorbidities as the independent factors associated with no-show.

Health Anxiety Predicts Postponing or Cancelling Routine Medical Health Care Appointments among Women in Perinatal Stage during the Covid-19 Lockdown.

To avoid spreading the Corona Virus Disease 2019 (COVID-19), health authorities have forced people to reorganize their working and private lives and to avoid open and public spaces as much as possible. This has also been the case for women both during pregnancy and after delivery. Here, we investigated the associations between subjective beliefs in risk of infections and health anxiety, depression, stress, and other perinatal dimensions. To this end, we assessed 103 women (mean age: 28.57 years) during pregnancy and after delivery. They completed a series of questionnaires covering sociodemographic information, perinatal information, health anxiety, post-partum depression, and stress. Sixty-six participants (64.1%) were in the pre-partum stage, and 37 (35.9%) were post-partum. Health anxiety was unrelated to depression or stress. Knowing and being close to infected people was associated with higher health anxiety. Strict following of the safety recommendations was associated with greater health anxiety, depression, and stress. Postponing or cancelling routine medical check appointments was observed among participants with high health anxiety scores. Higher illness severity, overall health anxiety scores, and lower stress scores predicted those participants who postponed or cancelled their routine medical check appointments. Post-partum stage and a larger number of children were associated with higher stress scores, but not with depression or stress. The results are of practical and clinical importance; it appears that health anxiety, which is to say fear of getting infected with COVID-19 during pregnancy or at the post-partum stage, was associated with postponing or cancelling routine medical check appointments, but not with stress or depression.

Improving Attendance and Patient Experiences During the Expansion of a Telehealth-Based Pediatric Otolaryngology Practice.

OBJECTIVE: To determine the rates and primary causes of missed appointments (MAs) for telehealth visits and present remedies for improvement. METHODS: This cross-sectional survey was conducted at a tertiary care pediatric otolaryngology practice during expansion of telehealth-based visits. A review of questionnaire responses was performed for 103 consecutive patients with MAs over 50 business days from March 20, 2020, to May 29, 2020. Families were asked a brief survey regarding the cause of the MA and assisted with technical support and rescheduling. MA rates and causes were analyzed. RESULTS: The overall MA rate during the initiation of telehealth services was significantly increased at 12.4% as compared with clinic-based visits of a similar duration before COVID of 5.2% (P < .001). Technical issues were the most common causes of MAs (51.3%). Of the caregivers, 23.8% forgot or reported cancellation of the appointment. Five percent of patients were non-English speaking and scheduled without translator support. Minorities and patients with public insurance represented 53.6% and 61.9% of MAs, respectively. DISCUSSION: Technical difficulties were the most commonly reported cause of missed telehealth appointments. Optimization of applications by providing patient reminders, determining need for translator assistance, and reducing required upload/download speeds may significantly reduce rates of MAs and conversions to other communication. IMPLICATIONS FOR PRACTICE: Clear, concise education materials on the technical aspects of telehealth, platform optimization, and robust technical and administrative support may be necessary to reduced missed telehealth appointments and support large-scale telehealth operations. An assessment of institutional capacity is critical when considering telehealth expansion.

How does COVID-19 fear and anxiety affect chemotherapy adherence in patients with cancer.

Aim: To investigate how COVID-19 fear and anxiety (COV-FA) affects chemotherapy adherence in patients with cancer. Materials & methods: The records of 3661 patients with chemotherapy (CT) appointments were retrospectively reviewed. Results: The CT postponement rates before and after COVID-19 were 11.6% and 14.2%, respectively (p = 0.017). The rate of COV-FA-related CT postponement after telemedicine was lower than that before (4.6% vs 17.4%; p = 0.012). The median time to come back to treatment of the COV-FA group was 47 days (range 19-72 days). Advanced age (≥60 years) was found to be the independent factor that was predictive of time to come back to treatment (p = 0.043). Conclusion: The CT postponement rate increased after COVID-19. COV-FA-related CT postponement decreased after telemedicine. Advanced age could be predictive of time to come back to treatment.

What Was the Change in Telehealth Usage and Proportion of No-show Visits for an Orthopaedic Trauma Clinic During the COVID-19 Pandemic?

BACKGROUND: In response to the coronavirus disease 2019 (COVID-19) pandemic, the Centers for Medicare and Medicaid Services pledged payment for telehealth visits for the duration of this public health emergency in an effort to decrease COVID-19 transmission and allow for deployment of residents and attending physicians to support critical-care services. Although the COVID-19 pandemic has vastly expanded telehealth use, no studies to our knowledge have analyzed the implementation and success of telehealth for orthopaedic trauma. This population is unique in that patients who have experienced orthopaedic trauma range in age from early childhood to late adulthood, they vary across the socioeconomic spectrum, may need to undergo emergent or urgent surgery, often have impaired mobility, and, historically, do not always follow-up consistently with healthcare providers. QUESTIONS/PURPOSES: (1) To what extent did telehealth usage increase for an outpatient orthopaedic trauma clinic at a Level 1 trauma center from the month before the COVID-19 stay-at-home order compared with the month immediately following the order? (2) What is the proportion of no-show visits before and after the implementation of telehealth? METHODS: After nonurgent clinic visits were postponed, telehealth visits were offered to all patients due to the COVID-19 stay-at-home order. Patients with internet access who had the ability to download the MyChart application on their mobile device and agreed to a telehealth visit were seen virtually between March 16, 2020 and April 10, 2020 (COVID-19) by three attending orthopaedic trauma surgeons at a large, urban, Level 1 trauma center. Clinic schedules and patient charts were reviewed to determine clinical volumes and no-show proportions. The COVID-19 period was compared with the 4 weeks before March 16, 2020 (pre-COVID-19), when all visits were conducted in-person. The overall clinic volume decreased from 340 to 233 (31%) between the two periods. The median (range) age of telehealth patients was 46 years (20 to 89). Eighty-four percent (72 of 86) of telehealth visits were postoperative and established nonoperative patient visits, and 16% (14 of 86) were new-patient visits. To avoid in-person suture or staple removal, patients seen for their 2-week postoperative visit had either absorbable closures, staples, or nonabsorbable sutures removed by a home health registered nurse or skilled nursing facility registered nurse. If radiographs were indicated, they were obtained at outside facilities or our institution before patients returned home for their telehealth visit. RESULTS: There was an increase in the percentage of office visits conducted via telehealth between the pre-COVID-19 and COVID-19 periods (0% [0 of 340] versus 37% [86 of 233]; p < 0.001), and by the third week of implementation, telehealth comprised approximately half of all clinic visits (57%; [30 of 53]). There was no difference in the no-show proportion between the two periods (13% [53 of 393] for the pre-COVID-19 period and 14% [37 of 270] for the COVID-19 period; p = 0.91). CONCLUSIONS: Clinicians should consider implementing telehealth strategies to provide high-quality care for patients and protect the workforce during a pandemic. In a previously telehealth-naïve clinic, we show successful implementation of telehealth for a diverse orthopaedic trauma population that historically has issues with mobility and follow-up. Our strategies include postponing long-term follow-up visits, having sutures or staples removed by a home health or skilled nursing facility registered nurse, having patients obtain pertinent imaging before the visit, and ensuring that patients have access to mobile devices and internet connectivity. Future studies should evaluate the incidence of missed infections or stiffness as a result of telehealth, analyze the subset of patients who may be more vulnerable to no-shows or technological failures, and conduct patient surveys to determine the factors that contribute to patient preferences for or against the use of telehealth. LEVEL OF EVIDENCE: Level III, therapeutic study.