Dysphagia Management and Research in an Acute-Care Military Treatment Facility: The Role of Applied Informatics.

Purpose: This report describes the development and preliminary analysis of a database for traumatically injured military service members with dysphagia.Methods: A multidimensional database was developed to capture clinical variables related to swallowing. Data were derived from clinical records and...

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Publicado en:Military Medicine Vol. 181; pp. 138 - 145
Autores principales: Solomon, Nancy Pearl, Dietsch, Angela M., Dietrich-Burns, Katie E., Styrmisdottir, Edda L., Armao, Christopher S.
Formato: research Journal Article
Publicado: Oxford University Press / USA May2016 Supplement
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Dysphagia Management and Research in an Acute-Care Military Treatment Facility: The Role of Applied Informatics.
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          Solomon, Nancy Pearl
          Dietsch, Angela M.
          Dietrich-Burns, Katie E.
          Styrmisdottir, Edda L.
          Armao, Christopher S.
        affil: National Military Audiology and Speech Pathology Center, Walter Reed National Military Medical Center, 4954 North Palmer Road, Building 19, Bethesda, MD 20889.
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        subj:
          Medical Informatics Methods
          Primary Health Care Methods
          Deglutition Disorders
          Middle Age
          Medical Informatics
          Female
          Diet Therapy Methods
          Male
          Adolescence
          Probability
          Medical Informatics Standards
          Diet Therapy Statistics and Numerical Data
          Glasgow Coma Scale Trends
          Hospitals, Military Statistics and Numerical Data
          Retrospective Design
          Military Personnel Statistics and Numerical Data
          Adult
          Glasgow Coma Scale
          Scales
          Human
          Middle Aged: 45-64 years
          Adolescent: 13-18 years
          Adult: 19-44 years
          Female
          Male
      ab: Purpose: This report describes the development and preliminary analysis of a database for traumatically injured military service members with dysphagia.Methods: A multidimensional database was developed to capture clinical variables related to swallowing. Data were derived from clinical records and instrumental swallow studies, and ranged from demographics, injury characteristics, swallowing biomechanics, medications, and standardized tools (e.g., Glasgow Coma Scale, Penetration-Aspiration Scale). Bayesian Belief Network modeling was used to analyze the data at intermediate points, guide data collection, and predict outcomes. Predictive models were validated with independent data via receiver operating characteristic curves.Results: The first iteration of the model (n = 48) revealed variables that could be collapsed for the second model (n = 96). The ability to predict recovery from dysphagia improved from the second to third models (area under the curve = 0.68 to 0.86). The third model, based on 161 cases, revealed "initial diet restrictions" as first-degree, and "Glasgow Coma Scale, intubation history, and diet change" as second-degree associates for diet restrictions at discharge.Conclusion: This project demonstrates the potential for bioinformatics to advance understanding of dysphagia. This database in concert with Bayesian Belief Network modeling makes it possible to explore predictive relationships between injuries and swallowing function, individual variability in recovery, and appropriate treatment options.
      pubtype: Academic Journal
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      ougenre: Article
    language: English
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