Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Adolescent (1)
- Ambulatory Care (1)
- Arthritis (1)
- Arthritis, Juvenile (1)
- COVID-19 (1)
-
- Child (1)
- Child, Preschool (1)
- Female (1)
- Humans (1)
- Juvenile (1)
- Lupus Erythematosus (1)
- Lupus Erythematosus, Systemic (1)
- Male (1)
- Musculoskeletal Pain (1)
- Paediatric population (1)
- Parents (1)
- Patient Acceptance of Health Care (1)
- Patient Satisfaction (1)
- Pediatrics (1)
- Population-based study (1)
- Predictive risk modeling (1)
- Preschool (1)
- Rheumatic Diseases (1)
- Rheumatology (1)
- SARS-CoV-2 (1)
- Systemic (1)
- Telemedicine (1)
Articles 1 - 2 of 2
Full-Text Articles in Medical Specialties
Evaluation Of Pediatric Rheumatology Telehealth Satisfaction During The Covid-19 Pandemic, Lindsay N Waqar-Cowles, John Chuo, Pamela F Weiss, Sabrina Gmuca, Marianna Lanoue, Jon M Burnham
Evaluation Of Pediatric Rheumatology Telehealth Satisfaction During The Covid-19 Pandemic, Lindsay N Waqar-Cowles, John Chuo, Pamela F Weiss, Sabrina Gmuca, Marianna Lanoue, Jon M Burnham
College of Population Health Faculty Papers
Background: During the Coronavirus disease 2019 pandemic, ambulatory pediatric rheumatology healthcare rapidly transformed to a mainly telehealth model. However, pediatric patient and caregiver satisfaction with broadly deployed telehealth programs remains largely unknown. This study aimed to evaluate patient/caregiver satisfaction with telehealth and identify the factors associated with satisfaction in a generalizable sample of pediatric rheumatology patients.
Methods: Patients with an initial telehealth video visit with a rheumatology provider between April and June 2020 were eligible. All patients/caregivers were sent a post-visit survey to assess a modified version of the Telehealth Usability Questionnaire (TUQ) and demographic and clinical characteristics. TUQ total …
Predicting Risk Of Hospitalisation: A Retrospective Population-Based Analysis In A Paediatric Population In Emilia-Romagna, Italy., Daniel Z. Louis, Clara A. Callahan, Mary Robeson, Mengdan Liu, Jacquelyn Mcrae, Joseph S. Gonnella, Marco Lombardi, Vittorio Maio
Predicting Risk Of Hospitalisation: A Retrospective Population-Based Analysis In A Paediatric Population In Emilia-Romagna, Italy., Daniel Z. Louis, Clara A. Callahan, Mary Robeson, Mengdan Liu, Jacquelyn Mcrae, Joseph S. Gonnella, Marco Lombardi, Vittorio Maio
College of Population Health Faculty Papers
OBJECTIVES: Develop predictive models for a paediatric population that provide information for paediatricians and health authorities to identify children at risk of hospitalisation for conditions that may be impacted through improved patient care.
DESIGN: Retrospective healthcare utilisation analysis with multivariable logistic regression models.
DATA: Demographic information linked with utilisation of health services in the years 2006-2014 was used to predict risk of hospitalisation or death in 2015 using a longitudinal administrative database of 527 458 children aged 1-13 years residing in the Regione Emilia-Romagna (RER), Italy, in 2014.
OUTCOME MEASURES: Models designed to predict risk of hospitalisation or death in …