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Nicole Brandt

Biographic Data

ID5544865
NAMENicole Brandt
GIVEN NAMESNicole
FAMILY NAMEBrandt
SIGNATUREBRANDT N
AFFILIATIONSUniversity of Maryland, Baltimore
ORCID0000-0003-2766-6120
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Applying the Andersen behavioral model to the medication therapy management program

    Open Access•Yu-Hua Fu, Yu‐Hua Fu et al.•ARTICLE•Frontiers in Public Health•2024

    Medication therapy problems (MTPs) are common among older adults and are associated with considerable morbidity, mortality, and healthcare costs. The Medicare Part D Medication Therapy Management (MTM) program, which includes Comprehensive Medication Reviews (CMRs), Targeted Medication Reviews (TMRs), and guidance on safe medication disposal, is designed to optimize therapeutic outcomes and reduce adverse events by addressing MTPs. Although this …

  • Practical Incorporation of Stakeholder-Informed Ethics into Research Funding Decisions

    Merton Lee, Nicole Brandt et al.•ARTICLE•Progress in community health…•2024

    Research funding has been criticized as biased against novel initiatives and lacking diversity, which leads to further disparities. Patient and stakeholder engagement could support research that goes beyond traditional paradigms and increases diversity. However, best practices to engage stakeholders in research, including funding decisions, continue to be developed. We report on the implementation of stakeholder input in two federally funded init…

  • Algorithm for Identifying Nursing Home Days Using Medicare Claims and Minimum Data Set Assessment Data

    Yu-Jung Wei, Yu‐Jung Jenny Wei et al.•ARTICLE•Medical Care•2016•References: 14

    BACKGROUND: No consensus exists about methods of measuring nursing home (NH) length-of-stay for Medicare beneficiaries to identify long-stay and short-stay NH residents. OBJECTIVES: To develop an algorithm measuring NH days of stay to differentiate between residents with long and short stay (≥101 and <101 consecutive days, respectively) and to compare the algorithm with Minimum Data Set (MDS) alone and Medicare claims data. RESEARCH DESIGN: We li…

  • Program and practice elements for placement prevention

    Bethany R Lee, Chad Ebesutani et al.•ARTICLE•American Journal of Orthopsychiatry•2014

    Preventing unnecessary out-of-home placement for youth with behavioral and emotional needs is a goal of several public child-serving services, including child welfare, juvenile justice, and child mental health. Although a small number of manualized interventions have been created to promote family driven and community-based services and have empirical support, other less established programs have been initiated by local jurisdictions to prevent o…

No prominent works on this page.

  • Program and practice elements for placement prevention

    Bethany R Lee, Chad Ebesutani et al.•ARTICLE•American Journal of Orthopsychiatry•2014

    Preventing unnecessary out-of-home placement for youth with behavioral and emotional needs is a goal of several public child-serving services, including child welfare, juvenile justice, and child mental health. Although a small number of manualized interventions have been created to promote family driven and community-based services and have empirical support, other less established programs have been initiated by local jurisdictions to prevent o…

  • Algorithm for Identifying Nursing Home Days Using Medicare Claims and Minimum Data Set Assessment Data

    Yu-Jung Wei, Yu‐Jung Jenny Wei et al.•ARTICLE•Medical Care•2016•References: 14

    BACKGROUND: No consensus exists about methods of measuring nursing home (NH) length-of-stay for Medicare beneficiaries to identify long-stay and short-stay NH residents. OBJECTIVES: To develop an algorithm measuring NH days of stay to differentiate between residents with long and short stay (≥101 and <101 consecutive days, respectively) and to compare the algorithm with Minimum Data Set (MDS) alone and Medicare claims data. RESEARCH DESIGN: We li…

  • Applying the Andersen behavioral model to the medication therapy management program

    Open Access•Yu-Hua Fu, Yu‐Hua Fu et al.•ARTICLE•Frontiers in Public Health•2024

    Medication therapy problems (MTPs) are common among older adults and are associated with considerable morbidity, mortality, and healthcare costs. The Medicare Part D Medication Therapy Management (MTM) program, which includes Comprehensive Medication Reviews (CMRs), Targeted Medication Reviews (TMRs), and guidance on safe medication disposal, is designed to optimize therapeutic outcomes and reduce adverse events by addressing MTPs. Although this …

  • Practical Incorporation of Stakeholder-Informed Ethics into Research Funding Decisions

    Merton Lee, Nicole Brandt et al.•ARTICLE•Progress in community health…•2024

    Research funding has been criticized as biased against novel initiatives and lacking diversity, which leads to further disparities. Patient and stakeholder engagement could support research that goes beyond traditional paradigms and increases diversity. However, best practices to engage stakeholders in research, including funding decisions, continue to be developed. We report on the implementation of stakeholder input in two federally funded init…

Medicine (3 works) · Nursing (3 works) · Psychology (2 works) · Biomedical Ethics and Regulation (1 work) · Business (1 work) · Child and Adolescent Psychosocial and Emotional Development (1 work) · Child Welfare and Adoption (1 work) · Chronic Disease Management Strategies (1 work) · Demography (1 work) · Emergency Medicine (1 work)

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