Connected Pediatric Primary Care for At-Risk Children
Copyright © 2020. Published by Elsevier Inc..
Age-specific recommendations contain extensive information that cannot be presented adequately in pediatric preventative care visits. Parental guidance is important, especially for children with social and/or medical risks, but existing evidence-based interventions tend to be resource intensive and difficult to scale. Because the use of mobile technology is now prevalent even among low-income families, the benefits of utilizing the Internet and mobile apps to improve parental guidance are active areas of research. Analyses of patient-generated data from mobile apps may help identify effective ways to use social influences, social learning, and social networks for improving population health.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:67 |
|---|---|
| Enthalten in: |
Pediatric clinics of North America - 67(2020), 4 vom: 10. Aug., Seite 665-673 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zuckerman, Barry [VerfasserIn] |
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| Links: |
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| Themen: |
Biological risk factors |
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| Anmerkungen: |
Date Completed 03.09.2020 Date Revised 03.09.2020 published: Print Citation Status MEDLINE |
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| doi: |
10.1016/j.pcl.2020.04.010 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM312276168 |
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| 520 | |a Copyright © 2020. Published by Elsevier Inc. | ||
| 520 | |a Age-specific recommendations contain extensive information that cannot be presented adequately in pediatric preventative care visits. Parental guidance is important, especially for children with social and/or medical risks, but existing evidence-based interventions tend to be resource intensive and difficult to scale. Because the use of mobile technology is now prevalent even among low-income families, the benefits of utilizing the Internet and mobile apps to improve parental guidance are active areas of research. Analyses of patient-generated data from mobile apps may help identify effective ways to use social influences, social learning, and social networks for improving population health | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Daglilar, Jillian Orr |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, C Jason |e verfasserin |4 aut | |
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