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Record W3155085373 · doi:10.1016/s1096-7192(21)00616-8

Implementation of telemedicine-based pediatric genetics care at the Children’s Hospital of Philadelphia

2021· article· en· W3155085373 on OpenAlexaboutno aff
Katherine M. Szigety, Terrence Crowley, Ian M. Campbell, Priyanka Adusumalli, Rebecca C. Ahrens‐Nicklas, Brandon Calderon, Andrew C. Edmondson, Can Fıçıcıoğlu, Rebecca Ganetzky, Jennifer M. Kalish, Ian D. Krantz, Donna M. McDonald‐McGinn, Līvija Medne, Colleen Muraresku, Elaine H. Zackai, Sarah E. Sheppard

Bibliographic record

VenueMolecular Genetics and Metabolism · 2021
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRehabilitationTelemedicinePandemicCoronavirus disease 2019 (COVID-19)TelehealthPhysical therapyInternal medicineHealth careDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Cardiac rehabilitation programs (CRPs) had to change quickly in response to a shift in clinical priorities related to to the coronavirus disease 2019 (COVID-19). Yet, no study has examined the effect of COVID-19 on CRPs and if there has been an adequate transition to alternative programming.To examine the status of CRPs during the COVID-19 pandemic, a web-based questionnaire was completed by CRP managers from April 23rd to May 14th, 2020.Overall, 114 representatives of 144 CRPs (79.1% of Canadian programs) responded. Of respondents, 41.2% (n = 47) reported CRP closure; primary reasons were staff redeployment and facility closure (41% of 51 responses, for both). Redeployment occurred in open CRPs and closed CRPs (30% ± 34% and 47% ± 38% of employees, respectively; P = 0.05) and reduced hours in 17.8% ± 31% and 22.5% ± 33% for remaining employees; P = 0.56. Of open CRPs, 84.8% accepted referrals for medically high-risk patients pre-COVID-19; this level fell to only 43.5% during the COVID-19 pandemic, P < 0.001. There was a significant reduction in patients with cognitive/communication/mobility deficits who were eligible to participate during the COVID-19 pandemic. Of respondents, 57%-82.6% reported safety concerns related to prescribing exercise to medically high-risk and vulnerable populations. CRPs transitioned from group-based to one-to-one delivery models—>80% by phone and/or e-mail. Any tele-rehabilitation (one-to-one/group) was also used by 32.7% and 43.5% of CRPs to deliver exercise and education, respectively (mostly one-to-one). Resource barriers cited by open and closed CRPs were related to technology—no tele-rehabilitation, lack of equipment and patient access (35% of all barriers)—and 25.3% of barriers were owing to greater demands on staff time.Within 2-months of COVID-19 being declared a pandemic, 41.2% of CRPs were closed and almost half of employees redeployed. Less time-efficient one-to-one models of remote care, mostly by phone/e-mail, were adopted. Vulnerable populations were disproportionately affected, becoming ineligible owing to safety concerns. Strategies to open closed CRPs, admission of high-risk/vulnerable populations, and offering of group-based tele-rehabilitation should be a national priority.Les programmes de réadaptation cardiaques (PRC) ont dû s'adapter rapidement en réponse à un changement des priorités cliniques liées à la maladie à coronavirus 2019 (COVID-19). Pourtant, aucune étude n'a examiné l'effet du COVID-19 sur les PRC et s'il y a eu une transition adéquate vers une programmation alternative.Pour examiner l'état des PRC durant la pandémie de COVID-19, un questionnaire en ligne a été rempli par les responsables des PRC du 23 avril au 14 mai 2020.Au total, 114 représentants de 144 PRC (79,1 % des programmes canadiens) y ont répondu. Parmi les répondants, 41,2 % (n = 47) ont signalé une fermeture du PRC; les principales raisons résidaient en un redéploiement du personnel ou une fermeture des installations (41 % des 51 réponses, avec une combinaison des deux). Le redéploiement a eu lieu pour les PRC ouverts et les PRC fermés (concernant 30 % ± 34 % et 47 % ± 38 % des employés, respectivement; P = 0,05) et les heures réduites pour 17,8 % ± 31 % et 22,5 % ± 33 % des employés restants; P = 0,56. Concernant les PRC restés ouverts, 84,8 % acceptaient de guider les patients à haut risque médical avant la COVID-19; ce niveau est tombé à seulement 43,5 % pendant la pandémie de COVID-19, P < 0,001. Parmi les patients dont la participation était éligible durant la pandémie de COVID-19, il y a eu une réduction significative du nombre de patients présentant des déficits cognitifs/communicationnels/de mobilité. Parmi les responsables interrogés, 57 % à 82,6 % ont fait état de problèmes de sécurité lorsqu’il était question de prescription d'exercice physique à des populations vulnérables et médicalement à haut risque. Les PRC sont passées d'un modèle de groupe à un modèle de prestation individuelle—>80 % par téléphone et/ou par courriel. La réadaptation à distance (individuelle/en groupe) a également été utilisée par, respectivement, 32,7 % et 43,5 % des PRC pour dispenser des exercices et des formations (principalement en séance individuelle). Les obstacles en matière de ressources identifiés par les PRC ouverts et fermés étaient liés à la technologie - pas de réadaptation à distance, manque d'équipement et de moyen d'accès par les patients (35 % de tous les obstacles) - et 25,3 % des obstacles étaient dus à des exigences plus importantes en matière de temps de travail du personnel.Dans les deux mois suivant la déclaration de la COVID-19 en tant que pandémie, 41,2 % des PRC ont été fermés et près de la moitié des employés ont été redéployés. Des modèles de soins individuels à distance, moins efficaces en termes de temps, principalement par téléphone/courriel, ont été adoptés. Les populations vulnérables ont été touchées de manière disproportionnée, devenant inéligibles pour des raisons de sécurité. Des stratégies d'ouverture des PRC fermés, d'admission des populations à haut risque ou vulnérables et d'offre de réadaptation à distance, en groupe, devraient constituer une priorité nationale.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.294
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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