| Literature DB >> 33181898 |
Laurent M Willems1, Yunus Balcik1, Anna H Noda1, Kai Siebenbrodt1, Sina Leimeister1, Jeannie McCoy1, Ricardo Kienitz1, Makoto Kiyose1, Raphael Reinecke2, Jan-Hendrik Schäfer2, Johann Philipp Zöllner1, Sebastian Bauer1, Felix Rosenow1, Adam Strzelczyk3.
Abstract
INTRODUCTION: When the SARS-CoV-2 pandemic reached Europe in 2020, a German governmental order forced clinics to immediately suspend elective care, causing a problem for patients with chronic illnesses such as epilepsy. Here, we report the experience of one clinic that converted its outpatient care from personal appointments to telemedicine services.Entities:
Keywords: Anticonvulsant; COVID; Corona; Pandemic; Seizure
Mesh:
Year: 2020 PMID: 33181898 PMCID: PMC7537633 DOI: 10.1016/j.yebeh.2020.107483
Source DB: PubMed Journal: Epilepsy Behav ISSN: 1525-5050 Impact factor: 2.937
Fig. 1Time course of SARS-CoV-2 pandemic in Hessen, from March 2 to June 2, 2020, showing the cumulative (A) and daily number (B) of confirmed cases, as well as the daily (C) and cumulative (D) number of COVID-19 associated deaths (status as of June 4, 2020, based on the official Robert Koch-Institut [RKI, Berlin, Germany] dataset, www.rki.de).
Sociodemographic and telemedicine-related aspects of the cohort (n = 272).
| % (n) | |
|---|---|
| Sociodemographic aspects | |
| Gender | Female 55.5 (151) |
| Age | Mean ± SD 38.7 ± 14.5 years |
| Number of postponement contacts by telephone | |
| Total number of contacts | 100.0 (278) |
| Single contacts | 98.1 (272) |
| Repeated contacts | 1.9 (6) |
| Change in appointment modality | |
| Patients switched to telemedicine care | 40.1 (109) |
| Patients switched to a later appointment | 61.4 (167) |
| Patients insisting on an urgent appointment | 0.4 (1) |
| Patients refusing a reassessment in general | 0.4 (1) |
| Reaction to canceling of the personal appointment | |
| Angry, upset | 2.9 (8) |
| Lack of understanding | 9.6 (26) |
| Understanding | 88.6 (241) |
| Relief, welcoming the decision | 3.3 (9) |
| Urgency of the appointment from a patient view | |
| Very urgent | 6.6 (18) |
| Urgent | 23.5 (64) |
| Less urgent | 29.8 (81) |
| Not urgent | 39.3 (107) |
| Not available | 2.9 (8) |
| Epilepsy type | |
| Focal epilepsy | 63.4 (174) |
| Generalized epilepsy | 16.2 (44) |
| Focal + generalized epilepsy | 0.7 (2) |
| Other and unknown | 19.1 (52) |
| Seizure types | |
| Focal seizures with or without impaired awareness | 22.1 (60) |
| Focal and focal to bilateral tonic–clonic seizures | 58.8 (160) |
| Generalized convulsive seizures | 16.5 (45) |
| Other and unknown | 2.6 (7) |
| Severity of epilepsy | |
| Active epilepsy (ongoing seizures) | 76.1 (207) |
| Epilepsy in remission (seizure-free > 12 months) | 19.5 (53) |
| Insufficient data | 4.4 (12) |
| Subjective threat by SARS-CoV-2 from a patient view | |
| Very serious | 5.5 (15) |
| Serious | 35.7 (97) |
| Less serious | 37.5 (102) |
| None | 14.3 (39) |
| Not available | 9.2 (25) |
Fig. 2Geographical overview of Europe (A) and Germany (B) to help locating the Federal State of Hessen (darker area). (C) The inset numbers represent enrolled patients from the different administrative regions of Hessen. Using color grading (lower right), the total number of COVID-19 cases of the different administrative regions of Hesse are shown (status as of June 4, 2020, based on the official Robert Koch-Institut [RKI, Berlin, Germany] dataset (www.rki.de). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fig. 3Likert scales for patient subjective urgency for canceled personal appointments, reactions to appointment cancelations, and subjective threat assessment of SARS-CoV-2 according to initial phone call notes (A, n = 272). In addition, patient and physician satisfaction with individual telemedical consultations (B, n = 109), and disadvantages of telemedicine compared with face-to-face appointments are shown for patients who accepted telemedicine consultations (C, n = 109). Discrepancies between patients' and physicians' rating of urgency for the appointment are displayed as Sankey diagram (D, n = 109).
Reasons, content, and satisfaction with telemedicine appointments (n = 109).
| % (n) | |
|---|---|
| Reasons for the urgent appointment | |
| Disease-specific questions | 57.8 (63) |
| Ongoing or planned change of ASDs | 29.4 (32) |
| Discussion of diagnostic findings and recommendations | 14.7 (16) |
| ASD management during planed, new or known pregnancy | 9.2 (10) |
| Increased seizure frequency | 14.7 (16) |
| ASD side effects | 31.2 (34) |
| Disease-specific driving restrictions | 6.4 (7) |
| Others | 5.5 (6) |
| Content of the telemedicine appointment | |
| Disease-specific questions | 72.5 (79) |
| ASD prescriptions | 33.0 (36) |
| Social aspects and supportive services available | 30.3 (33) |
| SARS-CoV-2-associated questions and aspects | 40.4 (44) |
| Work- or employment-associated aspects | 11.0 (12) |
| Changes or maintenance of ASD regimens | 82.6 (90) |
| Driving restrictions | 9.2 (10) |
| Further diagnostic or therapeutic approaches/steps | 30.3 (33) |
| Medical certificates | 4.6 (5) |
| Seizure frequency-related topics | 35.8 (39) |
| ASD side effects | 34.9 (38) |
| Written medication regime | 25.7 (28) |
| Subjective satisfaction of the telemedical appointment | |
| From the patient's point of view | |
| Completely satisfied | 38.5 (42) |
| Satisfied | 56.9 (62) |
| Less satisfied | 2.8 (3) |
| Unsatisfied | 0.9 (1) |
| Not available | 0.9 (1) |
| From the physician's point of view | |
| Completely satisfied | 46.8 (51) |
| Satisfied | 45.0 (49) |
| Less satisfied | 5.5 (6) |
| Unsatisfied | 0.0 (0) |
| Not available | 2.8 (3) |
| Disadvantage due to switch to telemedical appointment | |
| No | 87.2 (95) |
| Yes | 12.8 (14) |
| Postponing of diagnostic or therapy | 5.5 (6) |
| Limited interpretation of adverse events or symptoms | 5.5 (6) |
| Language barrier (no communication without gestures) | 0.9 (1) |
| Increased uncertainty due to missing face-to-face contact | 0.9 (1) |
ASDs = antiseizure drugs.
Univariate analysis of factors associated with SARS-CoV-2 telemedicine care offers (n = 271).
| Aspect | Value | Conversion to telemedicine care accepted | χ2 | p-Value | ||
|---|---|---|---|---|---|---|
| Yes | No | Sum | ||||
| Gender | Female | 71 | 79 | 150 | 7.067 | |
| Male | 38 | 83 | 121 | |||
| Epilepsy severity | Active | 83 | 124 | 207 | 0.098 | 0.875 |
| Remission | 20 | 33 | 53 | |||
| Subjective SARS-CoV-2 threat | High | 56 | 51 | 107 | 14.103 | |
| Low | 40 | 99 | 139 | |||
| Age | < 45 years | 76 | 104 | 180 | 1.155 | 0.374 |
| ≥ 45 years | 30 | 55 | 85 | |||
| Living environment | Urban | 46 | 73 | 119 | 0.14 | 0.709 |
| Rural | 61 | 88 | 149 | |||
| Subjective appointment urgency | At least urgent | 67 | 12 | 97 | 96.783 | |
| Less/nonurgent | 37 | 147 | 184 | |||
| Epilepsy type | Focal | 84 | 90 | 174 | 2.007 | 0.178 |
| Generalized | 16 | 28 | 44 | |||
| Seizure type | Only focal | 25 | 35 | 60 | 0.054 | 0.881 |
| Generalized | 82 | 123 | 205 | |||
p-Values after two-tailed Pearson's chi-squared and post hoc correction on difference between the expected frequencies and the observed frequencies of the mentioned aspect within the cohort, corrected for multiple testing after Benjamini–Hochberg (bold figures represent significant findings).