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Marissa D Abram

Dados Biográficos

ID4219084
NOMEMarissa D Abram
PRENOMESMarissa D
SOBRENOMEAbram
ASSINATURAABRAM M D
AFILIAÇÕESAdelphi University
ORCID0000-0002-7925-5318
VERIFICADOSim
TOTAL DE OBRAS7
TOTAL DE CITAÇÕES8
TOTAL COMO AUTOR7
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H1
  • Intersecting Risk

    Devon Noonan, Sarah Grenon et al.•ARTICLE•Substance Use & Misuse•2025

    BACKGROUND: Extreme heat has a direct impact on health and can exacerbate substance use. Rural communities are at high risk given higher rates of hospitalizations for heat related illness and the disproportionate effects of substance use. This commentary explores the connection between heat and substance in rural communities and proposes recommendations within the span of policy, research and practice that can be tailored to fit the local rural c…

  • Teaching Note—Virtual Simulation in an Interprofessional Fellowship for Social Work and Nursing Students

    Chireau White, Marissa D Abram et al.•ARTICLE•Journal of Social Work Education•2025

    The Adelphi School of Social Work and the College of Nursing and Public Health received a training grant from Health Resource and Services Administration to train social workers and psychiatric nurse practitioners to work in interprofessional teams. Within the fellowship, we sought to conduct a pilot study using virtual simulation as an intervention to close gaps in self-identified student learning needs. Between two cohorts, 52 students particip…

  • Designing a Nurse-Led Program for Self-Management of Substance Addiction Consequences

    Open Access•Paulo Rosário Carvalho Seabra, Inês Da Cunha Baetas Robalo Nunes et al.•ARTICLE•International Journal of…•2023

    Therapeutic interventions for people with problematic use of psychoactive substances can help tackle specific needs related to substance addiction consequences. This modified e-Delphi study aimed to establish consensus on a training program for self-management of substance addiction consequences. The study was conducted between February and April 2022, with an experts' sample of 28 participants in the first round and 24 in the second. A priori co…

  • Natural Language Processing Enhanced Qualitative Methods

    Open Access•R David Parker, Karen Mancini et al.•ARTICLE•International Journal of…•2023•Citada por: 1•Referências: 14

    Background Electronic health systems contain large amounts of unstructured data (UD) which are often unanalyzed due to the time and costs involved. Unanalyzed data creates missed opportunities to improve health outcomes. Natural language processing (NLP) is the foundation of generative artificial intelligence (GAI), which is the basis for large language models, such as ChatGPT. NLP and GAI are machine learning methods that analyze large amounts o…

  • Twenty Years of Addiction and Mental Illness in Alaska

    Open Access•R David Parker, Lauren Lessard et al.•ARTICLE•Journal of Community Health•2022

  • Participation of the nursing workforce to address Covid-19 among people who use alcohol, tobacco, and drugs

    Open Access•Guilamo-Ramo, Vincent Guilamo-Ramos et al.•ARTICLE•International Journal of Drug…•2020

  • Methods to Integrate Natural Language Processing Into Qualitative Research

    Open Access•Marissa D Abram, Karen T Mancini et al.•ARTICLE•International Journal of…•2020•Citada por: 7•Referências: 15

    Background: Qualitative methods analyze contextualized, unstructured data. These methods are time and cost intensive, often resulting in small sample sizes and yielding findings that are complicated to replicate. Integrating natural language processing (NLP) into a qualitative project can increase efficiency through time and cost savings; increase sample sizes; and allow for validation through replication. This study compared the findings, costs,…

  • Methods to Integrate Natural Language Processing Into Qualitative Research

    Open Access•Marissa D Abram, Karen T Mancini et al.•ARTICLE•International Journal of…•2020•Citada por: 7•Referências: 15

    Background: Qualitative methods analyze contextualized, unstructured data. These methods are time and cost intensive, often resulting in small sample sizes and yielding findings that are complicated to replicate. Integrating natural language processing (NLP) into a qualitative project can increase efficiency through time and cost savings; increase sample sizes; and allow for validation through replication. This study compared the findings, costs,…

  • Natural Language Processing Enhanced Qualitative Methods

    Open Access•R David Parker, Karen Mancini et al.•ARTICLE•International Journal of…•2023•Citada por: 1•Referências: 14

    Background Electronic health systems contain large amounts of unstructured data (UD) which are often unanalyzed due to the time and costs involved. Unanalyzed data creates missed opportunities to improve health outcomes. Natural language processing (NLP) is the foundation of generative artificial intelligence (GAI), which is the basis for large language models, such as ChatGPT. NLP and GAI are machine learning methods that analyze large amounts o…

  • Participation of the nursing workforce to address Covid-19 among people who use alcohol, tobacco, and drugs

    Open Access•Guilamo-Ramo, Vincent Guilamo-Ramos et al.•ARTICLE•International Journal of Drug…•2020

  • Methods to Integrate Natural Language Processing Into Qualitative Research

    Open Access•Marissa D Abram, Karen T Mancini et al.•ARTICLE•International Journal of…•2020•Citada por: 7•Referências: 15

    Background: Qualitative methods analyze contextualized, unstructured data. These methods are time and cost intensive, often resulting in small sample sizes and yielding findings that are complicated to replicate. Integrating natural language processing (NLP) into a qualitative project can increase efficiency through time and cost savings; increase sample sizes; and allow for validation through replication. This study compared the findings, costs,…

  • Twenty Years of Addiction and Mental Illness in Alaska

    Open Access•R David Parker, Lauren Lessard et al.•ARTICLE•Journal of Community Health•2022

  • Designing a Nurse-Led Program for Self-Management of Substance Addiction Consequences

    Open Access•Paulo Rosário Carvalho Seabra, Inês Da Cunha Baetas Robalo Nunes et al.•ARTICLE•International Journal of…•2023

    Therapeutic interventions for people with problematic use of psychoactive substances can help tackle specific needs related to substance addiction consequences. This modified e-Delphi study aimed to establish consensus on a training program for self-management of substance addiction consequences. The study was conducted between February and April 2022, with an experts' sample of 28 participants in the first round and 24 in the second. A priori co…

  • Natural Language Processing Enhanced Qualitative Methods

    Open Access•R David Parker, Karen Mancini et al.•ARTICLE•International Journal of…•2023•Citada por: 1•Referências: 14

    Background Electronic health systems contain large amounts of unstructured data (UD) which are often unanalyzed due to the time and costs involved. Unanalyzed data creates missed opportunities to improve health outcomes. Natural language processing (NLP) is the foundation of generative artificial intelligence (GAI), which is the basis for large language models, such as ChatGPT. NLP and GAI are machine learning methods that analyze large amounts o…

  • Intersecting Risk

    Devon Noonan, Sarah Grenon et al.•ARTICLE•Substance Use & Misuse•2025

    BACKGROUND: Extreme heat has a direct impact on health and can exacerbate substance use. Rural communities are at high risk given higher rates of hospitalizations for heat related illness and the disproportionate effects of substance use. This commentary explores the connection between heat and substance in rural communities and proposes recommendations within the span of policy, research and practice that can be tailored to fit the local rural c…

  • Teaching Note—Virtual Simulation in an Interprofessional Fellowship for Social Work and Nursing Students

    Chireau White, Marissa D Abram et al.•ARTICLE•Journal of Social Work Education•2025

    The Adelphi School of Social Work and the College of Nursing and Public Health received a training grant from Health Resource and Services Administration to train social workers and psychiatric nurse practitioners to work in interprofessional teams. Within the fellowship, we sought to conduct a pilot study using virtual simulation as an intervention to close gaps in self-identified student learning needs. Between two cohorts, 52 students particip…

Medicine (5 obras) · Environmental health (3 obras) · Nursing (3 obras) · Psychiatry (3 obras) · Psychology (3 obras) · Substance Abuse Treatment and Outcomes (3 obras) · Addiction (2 obras) · Artificial Intelligence (2 obras) · Artificial Intelligence in Healthcare and Education (2 obras) · Computer Science (2 obras)

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