1st International Electronic Conference on Geriatric Care Models
1–30 Apr 2019
Welcome from the Chairs
Welcome from the Chairs of the 1st International Electronic Conference on Geriatric Care Models
1 April-30 April 2019
We invite you to contribute your innovative work focused on geriatric care models. Geriatric patients represent a population for which care management may be beneficial to improve outcomes and to provide value-based, patient-centric healthcare. Many healthcare organizations are struggling to develop risk-based population health management strategies. Geriatric care models focus on high-risk high-need patients, and can be valuable resources for healthcare organizations.
Consider submitting your work on geriatric risk assessment and management, social and behavioral determinants of health, functional assessment, caregiver support, team-based care, and telehealth. The utilization of Big Data, artificial intelligence, and electronic health records (EHRs) to identify and monitor high-risk patients is of great interest. In addition to clinical needs, the high-need population will also require consideration of behavioral, functional, and social needs with enhanced provision of social and community support services.
Potential contributors to this Special Issue of Geriatrics may include investigators and participants in innovative models of care such as accountable care organizations, advanced alternative payment models, transitions of care models, telehealth programs, patient-centered medical homes, acute care for elderly units, early mobility and healthy aging programs, medication reconciliation, and quality assessment and performance improvement (QAPI) programs. Submissions with data and analyses are particularly welcome. Additionally, thoughtful descriptive proposals of data analytics and continuous feedback to clinicians, the identification of high-need patients, improving the cultural environment and attitudes regarding aging and society, health policy concerns, and successful team-based and collaborative care models are welcome.
Geriatrics a peer-reviewed scientific journal edited by MDPI, will organize and sponsor the First International Electronic Conference on Geriatric Care Models. Contributions dealing with any discipline promoting geriatric care models will be welcome.
The conference will be held on the Internet (https://sciforum.net/conference/IECGCM-1) on 1–30 April 2019. It will allow you to present your models to the wider community and provides the opportunity to start free exchanges of information with practice and academic groups from all over the world. Participation as an author or a visitor is ABSOLUTELY FREE of charge (simply create an account on the home page).
On behalf of our dynamic editorial staff and active scientific committee, we warmly invite you to join us at this First International Electronic Conference on Geriatric Care Models. We look forward to posting your contribution.
Sincerely yours,
James S. Powers, M.D.
Kenneth J. Shay, DDS, MS
Co-Chairs
Call for Papers
The 1st International Electronic Conference on Geriatric Care Models
1st International Electronic Conference on Geriatric Care Models (IECGCM-1) will be held from 1 to 30 April 2019. All proceedings will be held online at https://sciforum.net/conference/IECGCM-1
Time Schedule
- Abstract Submission: 10 Mar. 2019
- Acceptance Notification: 20 Mar. 2019
- Presentation Submission: 28 Mar. 2019
- Conference Open: 1-30 Apr. 2019
Throughout this event, we aim to cover the following five topics:
- Long Term Care
- Home and Community Based Care
- Outpatient care
- Inpatient geriatric evaluation
- Transitions of care
The Scientific Committee looks forward to receiving contributions in response to this call, and will be glad to provide any further information to interested parties. Questions may be addressed to the chairman, Prof. James S. Powers, Dr. Kenneth J. Shay, or the conference secretary at iecgcm@mdpi.com or geriatrics@mdpi.com.
We thank you in advance for your presence at this conference and your contribution to its success.
Conference Chairs
Professor of Medicine, Vanderbilt University School of Medicine, 7159 Vanderbilt Medical Center East,Nashville, TN 37232, USA;
Clinical Associate Director, Tennessee Valley Geriatric Research, Education, and Clinical Center, Nashville TN, USA
Website
James S. Powers, M.D. is Professor of Medicine at Vanderbilt University School of Medicine and Associate Clinical Director at the Tennessee Valley Healthcare System, Geriatrics Research Education and Clinical Center (TVHS GRECC), Nashville TN. He is the Geriatrics Fellowship Program Director. He has over three decades experience consulting, developing, evaluating, and sustaining primary care and geriatric healthcare models and educational programs. Dr. Powers focuses on quality improvement and evaluating educational and clinical outcomes, maintains a large practice, and teaches geriatrics to healthcare professionals of all disciplines.
james.powers@Vanderbilt.Edu
Formerly director of
Geriatric Programs, Department of Veterans Affairs, Washington, DC, USA
Website
Kenneth J. Shay was Chief of Geriatric Programs for the US Department of Veterans Affairs from 2005–2018 and worked tirelessly to foster the development of new healthcare models and testing of quality improvement innovations through the VA’s Center of excellence for Geriatrics, the Geriatric Research Education and Clinical Centers (GRECC). The VA represents the largest US integrated learning healthcare system.
Kenshay2@yahoo.com
Conference Committee
Division of Health Care Policy & Research, University of Colorado, Denver, CO, USA
Cari.Levy@va.gov
Professor of Psychiatry and Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
https://www.researchgate.net/profile/Prasad_Padala
Prasad.Padala@va.gov
https://aging.arizona.edu/person/mindy-fain-md
mfain@aging.arizona.edu
Instructions for Authors
- Researchers interested in attending the conference must submit the abstract, on this website and no later than 10 March 2019.
- The Conference Committee will pre-evaluate, based on the submitted abstract, whether a contribution from the author fits in the scope of The 1st International Electronic Conference on Geriatric Care Models. All authors will be notified by 20 March 2019 about the acceptance of their abstract.
- After the abstract is accepted by the Scientific Committee, the authors will be invited to prepare a full description of their work preferably under the form of a PowerPoint and/or video presentation, and to upload it before 28 March 2019 to ensure final check.
- The presentations will be accessible on https://sciforum.net/conference/IECGCM-1 during the conference time.
- After the conference, the authors are also welcome to submit an extended version of the proceeding papers to the Special Issue of Journal Geriatrics with a 50% discount off the Article Processing Charge.
Authors are encouraged to prepare a power point presentation using the template provided by the Conference (see download below). Slides will be displayed directly in the website using Sciforum.net's proprietary slides viewer. They can be prepared in the same way as for any traditional conference where research results can be presented. Slides should be converted to the PDF format before submission so that our process can easily and automatically convert them for online displaying.
International Electronic Conference on Geriatric Care Models MS Word Template File
International Electronic Conference on Geriatric Care Models Poster template file
International Electronic Conference on Geriatric Care Models PPT template file
Authors are also welcome to submit video presentations. If you are interested in submitting, please contact the conference organizer (iecgcm@mdpi.com or frankie.yang@mdpi.com) to get to know more about the procedure.
Tips for authors: If you would like to prepare a video (15-20 minutes) based on your PPT presentation, you may use the "record slide" function in the PowerPoint. After recording, you can save the file as type: MPEG-4 Viedo (*.mp4).
Potential Conflicts of Interest
It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here "The authors declare no conflict of interest." This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. Financial support for the study must be fully disclosed under "Acknowledgments" section. It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research.
Copyright
MDPI, the publisher of the Sciforum.net platform, is an open access publisher. We believe that authors should retain the copyright to their research works. Hence, by submitting a contribution to this conference, the authors retain the copyright of their contribution, but they grant MDPI the non-exclusive right to publish this contribution online on the Sciforum.net platform. This means the authors can easily submit their contribution to any scientific journal at a later stage and transfer the copyright to its publisher (if required by that publisher).
List of accepted submissions (3)
Id | Title | Authors | Presentation Video | Poster PDF | |||||||||||||||||||||||||||||||||||||
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sciforum-024185 | Disability among the Elderly in Indonesia: An Analysis of Spatial and Socio-demographic Correlates | , | N/A |
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Disability is more prevalent among the elderly. However, evidence on the factors associated with disability among them is limited. Therefore, this paper addresses the spatial and socio-demographic correlates of disability among individuals aged 60 and over in Indonesia. We employ data from the 2013 Indonesian National Socioeconomic Survey (SUSENAS). We defined disability as having any difficulties in doing daily activities using the ‘Low Threshold’ assumption. We fitted a multivariable logistic regression model to the dataset and evaluated statistical significance at the 95% level. The final regression model is statistically significant (P<0.001) with a sample of 23,709 individuals. The results show that 45.35% of the elderly reported being disabled. Moreover, higher age is associated with higher odds of being disabled (OR = 1.16; 95%; 95% CI = 1.10-1.23). An elderly living without a spouse is more likely to be disabled (OR = 1.54; 95% CI = 1.43-1.64). We also observed provincial differences in disabilities. Furthermore, elderly living in rural areas have higher odds of being disabled (OR = 1.18; 95% CI = 1.12-1.25) compared to their urban counterparts. Our results imply that the Indonesian elderly with certain characteristics are more vulnerable than others which requires long term care. |
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sciforum-024211 | Cost-Effective Reduction of Acute Care Utilization using Home-Based Heart Failure Program. | , , , , | N/A |
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Background: Heart failure is the number one cause of hospital readmissions among Veteran Affairs (VA) patients. We implemented a home-based RN/LPN team who provided short-term, intensive CHF case management in collaboration with a cardiologist with the goal of reducing 30-day readmissions, ER visits, and hospitalizations. Methods: This retrospective study evaluated ER visits, admissions, 30-day readmission rates, and total inpatient days for 108 CHF patients at the Indianapolis VA Medical Center enrolled in the home-based CHF program from May 2016-September 2017. Data was retrieved from national VA databases as well as the electronic medical record. We compared patients’ acute care utilization six months prior to the program, during the program, and at six months post-program discharge using chi squared test. Results: 500 Veterans were admitted with HF at our hospital in 2016 with the 30-day readmission rate of 21% before our program start date. When comparing all 500 HF patients admitted at our VA with the 108 patients enrolled, the difference in 30-day readmissions was significant (p <.001), with only 7% of our patients having a 30-day readmission within the first 30 days of enrollment into the program. When comparing our study population itself six months pre-program versus during program, there was a large reduction in ER visits and admissions per patient during the program (0.537 vs. 0.361) and (1.63 vs. 0.296). When comparing 6 months pre-program vs. during program enrollment and 6 months post-program discharge, the number of total inpatient days per person was drastically reduced (9.31 vs. 1.33) (9.31 vs 2.73). Using the average cost of one day in the hospital, $3,400, the VA saved approximately $22,372 per patient during our study. The average cost for the CHF home care team yearly is $213, 004, whereas the approximate savings for this program per year is $4,832,352, giving a total annual cost savings of $4,619,348. Conclusions: Short-term, intensive home-based teams for high-risk Veterans with CHF can reduce ER visits, admissions, 30-day readmissions, and the number of inpatient days and be highly cost-effective. This home-based care model must also be noted for showing significant effect persisting after the formal program/intervention ended as there was a continued sizable reduction 6 months post-program discharge in total inpatient days. |
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sciforum-024671 | Multicomponent interventions to prevent and manage pressure injuries in hospital | , | N/A |
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Pressure injuries are areas of localised damage to skin and underlying tissue, usually over bony prominences. They are associated with pain, prolonged hospitalisation, poor quality of life, increased morbidity and risk of mortality.
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Conference Secretariat
Ms. Frankie Yang
MDPI Branch Office, Beijing
E-Mail: iecgcm@mdpi.com
A. Home and Community Based Care
Session Chair
Prof. Dr. Cari Levy, Division of Health Care Policy & Research, University of Colorado, Denver, CO, USA; Website: http://www.ucdenver.edu/academics/colleges/medicalschool/departments/medicine/hcpr/Faculty/Pages/CariLevy.aspx
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B. Inpatient Care
Session Chair
Dr. Mindy Fain, University of Arizona, Tucson, AZ, USA https://aging.arizona.edu/person/mindy-fain-md
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C. Long Term Care
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