| Autor: |
Shrujna Patel, Kelsie Boulton, Antoinette Redoblado-Hodge, Angela Papanicolaou, Diana Barnett, Beverley Bennett, Suzi Drevensek, Jane Cramsie, Kalaichelvi Ganesalingam, Natalie Ong, Magdalen Rozsa, Rebecca Sutherland, Marcia Williamsz, Izabella Pokorski, Yun Song, Natalie Silove, Adam Guastella |
| Rok vydání: |
2020 |
| Popis: |
Background: There is a growing need for cost-efficient and patient-centred approaches to support families in hospital and community-based neurodevelopmental services. For such purposes, electronic data collection (EDC) may hold advantages over paper-based data collection. Such EDC approaches enable automated data collection for scoring and interpretation, saving time for clinicians and services and promoting more efficient service delivery. Objective: The current pilot study evaluated the efficacy of EDC for the Child Development Unit, a hospital-based diagnostic assessment clinic in the Sydney Children’s Hospital Network. Caregiver response rates and preference for EDC or paper-based methods were evaluated as well as the moderating role of demographic characteristics such as age, level of education and ethnic background. Methods: Families were sent either a paper-based questionnaire via post or an electronic mail link for completion before attending their first onsite clinic appointment for assessment. A total of 62 families were provided a paper version of the questionnaire, while 184 families were provided the online version of the same questionnaire. Results: Completion rates of the questionnaire before the first appointment were significantly higher for EDC (89.1%) in comparison to paper-based methods (38.7%; P |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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