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.
Chronic alcohol use has been attributed to the development of malnutrition. This is in part due to the inhibitory effect of ethanol on the absorption of vital nutrients, including glucose, amino acids, lipids, water, vitamins, and minerals within the small intestine. Recent advances in research, along with new cutting-edge technologies, have advanced our understanding of the mechanism of ethanol’s effect on intestinal nutrient absorption at the brush border membrane (BBM) of the small intestine. However, further studies are needed to delineate how ethanol consumption could have an impact on altered nutrient absorption under various disease conditions. Current research has elucidated the relationship of alcohol consumption on glucose, glutamine, vitamins B1 (thiamine), B2 (riboflavin), B9 (folate), C (ascorbic acid), selenium, iron, and zinc absorption within the small intestine. We conducted systematic computerized searches in PubMed using the following keywords: (1) “Alcohol effects on nutrient transport”; (2) “Alcohol mediated malabsorption of nutrients”; (3) “Alcohol effects on small intestinal nutrient transport”; and (4) “Alcohol mediated malabsorption of nutrients in small intestine”. We included the relevant studies in this review. The main objective of this review is to marshal and analyze previously published research articles and discuss, in-depth, the understanding of ethanol’s effect in modulating absorption of vital macro and micronutrients in health and disease conditions. This could ultimately provide great insights in the development of new therapeutic strategies to combat malnutrition associated with alcohol consumption.
Background The Appalachian population is distinct, not just culturally and geographically but also in its health care needs, facing the most health care disparities in the United States. To meet these unique demands, Appalachian medical centers need an arsenal of analytics and data science tools with the foundation of a centralized data warehouse to transform health care data into actionable clinical interventions. However, this is an especially challenging task given the fragmented state of medical data within Appalachia and the need for integration of other types of data such as environmental, social, and economic with medical data. Objective This paper aims to present the structure and process of the development of an integrated platform at a midlevel Appalachian academic medical center along with its initial uses. Methods The Appalachian Informatics Platform was developed by the Appalachian Clinical and Translational Science Institute’s Division of Clinical Informatics and consists of 4 major components: a centralized clinical data warehouse, modeling (statistical and machine learning), visualization, and model evaluation. Data from different clinical systems, billing systems, and state- or national-level data sets were integrated into a centralized data warehouse. The platform supports research efforts by enabling curation and analysis of data using the different components, as appropriate. Results The Appalachian Informatics Platform is functional and has supported several research efforts since its implementation for a variety of purposes, such as increasing knowledge of the pathophysiology of diseases, risk identification, risk prediction, and health care resource utilization research and estimation of the economic impact of diseases. Conclusions The platform provides an inexpensive yet seamless way to translate clinical and translational research ideas into clinical applications for regions similar to Appalachia that have limited resources and a largely rural population.
In the mammalian small intestine, sodium is primarily absorbed by Na + /H + exchange ( NHE 3) and Na‐glucose cotransport ( SGLT 1) in the brush border membrane ( BBM ) of villus cells. However, how enhanced cellular constitutive nitric oxide ( cNO ) may affect NHE 3 and SGLT 1 remains unclear. Both in vivo in rabbit intestinal villus cells and in vitro IEC ‐18 cells, administration of NO donor, GSNAP , modestly increased cNO . GSNAP stimulated SGLT 1 in villus and IEC ‐18 cells. The mechanism of stimulation was secondary to an increase in the affinity of SGLT 1 for glucose. The change in SGLT 1 was not secondary to altered Na‐extruding capacity of the cell since Na + /K + ‐ ATP ase was decreased by GSNAP treatment. In contrast, GSNAP inhibited NHE 3 activity in villus cell BBM . The mechanism of NHE 3 inhibition was secondary to reduced BBM transporter numbers. These studies demonstrated that the physiological increase in cNO uniquely regulates mammalian small intestinal NHE 3 and SGLT 1 to maintain Na homeostasis.
BACKGROUND Caring for the growing dementia patient population with complex healthcare needs in West Virginia has been challenging due to its large, sizably rural-dwelling geriatric population and limited resource availability. OBJECTIVE 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 healthcare utilization by geriatric patients. METHODS The Maier Institute Data Mart containing clinical and billing data on patients aged ≥ 65 (n=98,970) seen within our clinics/hospital was created. Relevant variables were analyzed to identify BZD prescription patterns and calculate related charges and emergency department (ED) utilization. RESULTS Nearly one third dementia patients received ≥ 1 BZD prescription, 20% more than those without dementia. More women than men received at least one BZD prescription. On average, patients with dementia and ≥ 1 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/research through a deeper understanding of dementia, data enrichment, risk identification, and care gap analysis.
BACKGROUND The Appalachian population is distinct, not just culturally and geographically, but also in its health care needs, facing the most health care disparities in the United States. Thus, to meet these unique demands, bringing in modern technologies to Appalachian medical centers and utilizing these technologies to develop solutions becomes critical. This requires the foundation of a centralized data warehouse with an arsenal of analytics and data science tools to transform healthcare data into actionable clinical interventions. It’s an especially challenging task given the fragmented state of medical data within Appalachia and the need for integration of other types of data such as environmental, social, economic, etc. with medical data. OBJECTIVE This paper presents the initial experience of developing an integrated platform at a mid-level Appalachian academic medical center along with its initial uses. METHODS The Appalachian Informatics Platform was developed by the Appalachian Clinical and Translational Science Institute’s Division of Clinical Informatics and consists of four major components: a centralized clinical data warehouse, modeling (statistical and machine learning), visualization, and model evaluation. RESULTS The Appalachian informatics platform is functional and has supported several research efforts since its implementation. CONCLUSIONS The platform provides an inexpensive yet seamless way to translate clinical and translational research ideas into clinical applications for regions like Appalachia that have limited resources and a largely rural population.
BACKGROUND Rural medical centers, especially in the Appalachian region, have limited funds and expertise to pursue the latest technologies without evidence of their definite cost/benefit. We endeavor to show that dental informatics, which combines dentistry and information technologies, can help identify strategies leading to improved care and reduced cost for a very underserved population. OBJECTIVE Demonstrate the value of dental informatics on dental health care in rural Appalachia through a study measuring emergency room (ER) use for non-traumatic dental conditions (NTDC) and associated economic impact in a hospital system that primarily serves rural Appalachia. METHODS The Appalachian Clinical and Translational Science Institute’s Oral health data mart with relevant data on patients (n=8372) with ER encounters for NTDC between 2010 and 2018 was created using Appalachian Clinical and Translational Science Institute’s research data warehouse. Exploratory analysis was then performed through the development of an interactive dashboard using Tableau. The overall burden of these encounters along with disparities in burden by age groups, gender, and primary payer was assessed. RESULTS Dental informatics was essential in understanding the overall problem and provided an interactive and easily comprehensible visualization of the situation. We found that ER visits for NTDC’s declined by 40% from 2010 to 2018 but a higher percentage of visits required inpatient care and surgical intervention. CONCLUSIONS Dental Informatics can provide the necessary tools and support to healthcare systems and state health departments across Appalachia to address serious dental problems. In this case, informatics helped identify that although inappropriate ER use for NTDCs diminished due to ER diversion efforts, they remain a significant burden. Policy changes to promote models that improve access to preventive care such as that divert patients from ER by integrating preventive and curative dental services with existing medical coverage are needed.
Background In the Appalachian region, a variety of factors will impact the ability of patients to maintain good oral health, which is essential for overall health and well-being. Oral health issues have led to high costs within the Appalachian hospital system. Dental informatics examines preventable dental conditions to understand the problem and suggest cost containment. Objective We aimed to demonstrate the value of dental informatics in dental health care in rural Appalachia by presenting a research study that measured emergency room (ER) use for nontraumatic dental conditions (NTDCs) and the associated economic impact in a hospital system that primarily serves rural Appalachia. Methods The Appalachian Clinical and Translational Science Institute’s oral health data mart with relevant data on patients (n=8372) with ER encounters for NTDC between 2010 and 2018 was created using Appalachian Clinical and Translational Science Institute’s research data warehouse. Exploratory analysis was then performed by developing an interactive Tableau dashboard. Dental Informatics provided the platform whereby the overall burden of these encounters, along with disparities in burden by age groups, gender, and primary payer, was assessed. Results Dental informatics was essential in understanding the overall problem and provided an interactive and easily comprehensible visualization of the situation. We found that ER visits for NTDCs declined by 40% from 2010 to 2018, but a higher percentage of visits required inpatient care and surgical intervention. Conclusions Dental informatics can provide the necessary tools and support to health care systems and state health departments across Appalachia to address serious dental problems. In this case, informatics helped identify that although inappropriate ER use for NTDCs diminished due to ER diversion efforts, they remain a significant burden. Through its visualization and data extraction techniques, dental informatics can help produce policy changes by promoting models that improve access to preventive care.
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