Shiri Sadeh‐sharvit
Biographic Data
| ID | 4815224 |
|---|---|
| NAME | Shiri Sadeh‐sharvit |
| GIVEN NAMES | Shiri |
| FAMILY NAME | Sadeh‐sharvit |
| SIGNATURE | SHARVIT S S |
| AFFILIATIONS | Palo Alto University |
| ORCID | 0000-0001-6499-9034 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Pragmatic AI-augmentation in mental healthcare
The integration of artificial intelligence (AI) technologies into mental health holds the promise of increasing patient access, engagement, and quality of care, and of improving clinician quality of work life. However, to date, studies of AI technologies in mental health have focused primarily on challenges that policymakers, clinical leaders, and data and computer scientists face, rather than on challenges that frontline mental health clinicians…
Digital Overload among College Students
Mental health phone applications (apps) provide cost-effective, easily accessible support for college students, yet long-term engagement is often low. Digital overload, defined as information burden from technological devices, may contribute to disengagement from mental health apps. This study aimed to explore the influence of digital overload and phone use preferences on mental health app use among college students, with the goal of informing ho…
Child feeding perceptions among mothers with eating disorders
Ethnic disparities in mental health treatment gap in a community-based survey and in access to care in psychiatric clinics
BACKGROUND: Contrasting social status of ethnic groups differentially impacts the use of psychiatric services, including in Israel, despite its universal health system. However, relevant studies are limited. AIMS: To examine ethnic differences in mental health treatment gap and in access to specialized care. METHODS: Data were gathered from two sources. Study I included Mizrahi (Jews of North African/Asian origin, socially disadvantaged, n = 136)…
Digital Overload among College Students
Mental health phone applications (apps) provide cost-effective, easily accessible support for college students, yet long-term engagement is often low. Digital overload, defined as information burden from technological devices, may contribute to disengagement from mental health apps. This study aimed to explore the influence of digital overload and phone use preferences on mental health app use among college students, with the goal of informing ho…
Child feeding perceptions among mothers with eating disorders
Ethnic disparities in mental health treatment gap in a community-based survey and in access to care in psychiatric clinics
BACKGROUND: Contrasting social status of ethnic groups differentially impacts the use of psychiatric services, including in Israel, despite its universal health system. However, relevant studies are limited. AIMS: To examine ethnic differences in mental health treatment gap and in access to specialized care. METHODS: Data were gathered from two sources. Study I included Mizrahi (Jews of North African/Asian origin, socially disadvantaged, n = 136)…
Child feeding perceptions among mothers with eating disorders
Digital Overload among College Students
Mental health phone applications (apps) provide cost-effective, easily accessible support for college students, yet long-term engagement is often low. Digital overload, defined as information burden from technological devices, may contribute to disengagement from mental health apps. This study aimed to explore the influence of digital overload and phone use preferences on mental health app use among college students, with the goal of informing ho…
Pragmatic AI-augmentation in mental healthcare
The integration of artificial intelligence (AI) technologies into mental health holds the promise of increasing patient access, engagement, and quality of care, and of improving clinician quality of work life. However, to date, studies of AI technologies in mental health have focused primarily on challenges that policymakers, clinical leaders, and data and computer scientists face, rather than on challenges that frontline mental health clinicians…
Psychiatry (4 works) · Health care (3 works) · Medicine (3 works) · Mental health (3 works) · Psychology (3 works) · Computer Science (2 works) · Digital Mental Health Interventions (2 works) · Gerontology (2 works) · Political science (2 works) · Qualitative research (2 works)