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Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study

BACKGROUND: Caring for the growing dementia population with complex health care needs in West Virginia has been challenging due to its large, sizably rural-dwelling geriatric population and limited resource availability. OBJECTIVE: This paper aims to illustrate the application of an informatics plat...

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Autores principales: Bhardwaj, Niharika, Cecchetti, Alfred A, Murughiyan, Usha, Neitch, Shirley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435704/
https://www.ncbi.nlm.nih.gov/pubmed/32749226
http://dx.doi.org/10.2196/18389
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author Bhardwaj, Niharika
Cecchetti, Alfred A
Murughiyan, Usha
Neitch, Shirley
author_facet Bhardwaj, Niharika
Cecchetti, Alfred A
Murughiyan, Usha
Neitch, Shirley
author_sort Bhardwaj, Niharika
collection PubMed
description BACKGROUND: Caring for the growing dementia population with complex health care needs in West Virginia has been challenging due to its large, sizably rural-dwelling geriatric population and limited resource availability. OBJECTIVE: This paper aims to illustrate the application of an informatics platform to drive dementia research and quality care through a preliminary study of benzodiazepine (BZD) prescription patterns and its effects on health care use by geriatric patients. METHODS: The Maier Institute Data Mart, which contains clinical and billing data on patients aged 65 years and older (N=98,970) seen within our clinics and hospital, was created. Relevant variables were analyzed to identify BZD prescription patterns and calculate related charges and emergency department (ED) use. RESULTS: Nearly one-third (4346/13,910, 31.24%) of patients with dementia received at least one BZD prescription, 20% more than those without dementia. More women than men received at least one BZD prescription. On average, patients with dementia and at least one BZD prescription sustained higher charges and visited the ED more often than those without one. CONCLUSIONS: The Appalachian Informatics Platform has the potential to enhance dementia care and research through a deeper understanding of dementia, data enrichment, risk identification, and care gap analysis.
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spelling pubmed-74357042020-08-31 Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study Bhardwaj, Niharika Cecchetti, Alfred A Murughiyan, Usha Neitch, Shirley JMIR Med Inform Original Paper BACKGROUND: Caring for the growing dementia population with complex health care needs in West Virginia has been challenging due to its large, sizably rural-dwelling geriatric population and limited resource availability. OBJECTIVE: This paper aims to illustrate the application of an informatics platform to drive dementia research and quality care through a preliminary study of benzodiazepine (BZD) prescription patterns and its effects on health care use by geriatric patients. METHODS: The Maier Institute Data Mart, which contains clinical and billing data on patients aged 65 years and older (N=98,970) seen within our clinics and hospital, was created. Relevant variables were analyzed to identify BZD prescription patterns and calculate related charges and emergency department (ED) use. RESULTS: Nearly one-third (4346/13,910, 31.24%) of patients with dementia received at least one BZD prescription, 20% more than those without dementia. More women than men received at least one BZD prescription. On average, patients with dementia and at least one BZD prescription sustained higher charges and visited the ED more often than those without one. CONCLUSIONS: The Appalachian Informatics Platform has the potential to enhance dementia care and research through a deeper understanding of dementia, data enrichment, risk identification, and care gap analysis. JMIR Publications 2020-08-04 /pmc/articles/PMC7435704/ /pubmed/32749226 http://dx.doi.org/10.2196/18389 Text en ©Niharika Bhardwaj, Alfred A Cecchetti, Usha Murughiyan, Shirley Neitch. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 04.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Bhardwaj, Niharika
Cecchetti, Alfred A
Murughiyan, Usha
Neitch, Shirley
Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study
title Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study
title_full Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study
title_fullStr Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study
title_full_unstemmed Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study
title_short Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study
title_sort analysis of benzodiazepine prescription practices in elderly appalachians with dementia via the appalachian informatics platform: longitudinal study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435704/
https://www.ncbi.nlm.nih.gov/pubmed/32749226
http://dx.doi.org/10.2196/18389
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