IU Indianapolis ScholarWorks :: Browsing by Subject "Geriatrics"

Browsing by Subject "Geriatrics"

Now showing 1 - 10 of 21

Asymptomatic Bacteriuria versus Symptom Underreporting in Older Emergency Department Patients with Suspected Urinary Tract Infection
(Wiley, 2020-11) Caterino, Jeffrey M.; Stephens, Julie A.; Camargo, Carlos A., Jr.; Wexler, Randell; Hebert, Courtney; Southerland, Lauren T.; Hunold, Katherine M.; Hains, David S.; Bischof, Jason J.; Wei, Lai; Wolfe, Alan J.; Schwaderer, Andrew; Pediatrics, School of Medicine
The Avoidable Transfer Scale: A New Tool for Identifying Potentially Avoidable Hospital Transfers of Nursing Home Residents
(Oxford University Press, 2022-05-11) Carnahan, Jennifer L.; Unroe, Kathleen T.; Evans, Russell; Klepfer, Sarah; Stump, Timothy E.; Monahan, Patrick O.; Torke, Alexia M.; Medicine, School of Medicine
Background and objectives: Prior approaches to identifying potentially avoidable hospital transfers (PAHs) of nursing home residents have involved detailed root cause analyses that are difficult to implement and sustain due to time and resource constraints. They relied on the presence of certain conditions but did not identify the specific issues that contributed to avoidability. We developed and tested an instrument that can be implemented using review of the electronic medical record. Research design and methods: The OPTIMISTIC project was a Centers for Medicare and Medicaid Services demonstration to reduce avoidable hospital transfers of nursing home residents. The OPTIMISTIC team conducted a series of root cause analyses of transfer events, leading to development of a 27-item instrument to identify common characteristics of PAHs (Stage 1). To refine the instrument, project nurses used the electronic medical record (EMR) to score the avoidability of transfers to the hospital for 154 nursing home residents from 7 nursing homes from May 2019 through January 2020, including their overall impression of whether the transfer was avoidable (Stage 2). Each transfer was rated independently by 2 nurses and assessed for interrater reliability with a kappa statistic. Results: Kappa scores ranged from -0.045 to 0.556. After removing items based on our criteria, 12 final items constituted the Avoidable Transfer Scale. To assess validity, we compared the 12-item scale to nurses' overall judgment of avoidability of the transfer. The 12-item scale scores were significantly higher for submissions rated as avoidable than those rated unavoidable by the nurses (mean 5.3 vs 2.6, p < .001). Discussion and implications: The 12-item Avoidable Transfer Scale provides an efficient approach to identify and characterize PAHs using available data from the EMR. Increased ability to quantitatively assess the avoidability of resident transfers can aid nursing homes in quality improvement initiatives to treat more acute changes in a resident's condition in place.
Brief Educational Video plus Telecare to Enhance Recovery for Older Emergency Department Patients with Acute Musculoskeletal Pain: an update to the study protocol for a randomized controlled trial
(Springer, 2022-05-12) Hurka-Richardson, Karen; Platts-Mills, Timothy F.; McLean, Samuel A.; Weinberger, Morris; Stearns, Sally C.; Bush, Montika; Quackenbush, Eugenia; Chari, Srihari; Aylward, Aileen; Kroenke, Kurt; Kerns, Robert D.; Weaver , Mark A.; Keefe, Francis J.; Berkoff, David; Meyer, Michelle L.; Medicine, School of Medicine
Background This update describes changes to the Brief Educational Tool to Enhance Recovery (BETTER) trial in response to the COVID-19 pandemic. Methods/design The original protocol was published in Trials. Due to the COVID-19 pandemic, the BETTER trial converted to remote recruitment in April 2020. All recruitment, consent, enrollment, and randomization now occur by phone within 24 h of the acute care visit. Other changes to the original protocol include an expansion of inclusion criteria and addition of new recruitment sites. To increase recruitment numbers, eligibility criteria were expanded to include individuals with chronic pain, non-daily opioid use within 2 weeks of enrollment, presenting musculoskeletal pain (MSP) symptoms for more than 1 week, hospitalization in past 30 days, and not the first time seeking medical treatment for presenting MSP pain. In addition, recruitment sites were expanded to other emergency departments and an orthopedic urgent care clinic. Conclusions Recruiting from an orthopedic urgent care clinic and transitioning to remote operations not only allowed for continued participant enrollment during the pandemic but also resulted in some favorable outcomes, including operational efficiencies, increased enrollment, and broader generalizability.
Brief Educational Video plus Telecare to Enhance Recovery for Older Emergency Department Patients with Acute Musculoskeletal Pain: an update to the study protocol for a randomized controlled trial
(Springer Nature, 2022-05-12) Hurka‑Richardson, Karen; Platts‑Mills, Timothy F.; McLean, Samuel A.; Weinberger, Morris; Stearns, Sally C.; Bush, Montika; Quackenbush, Eugenia; Chari, Srihari; Aylward, Aileen; Kroenke, Kurt; Kerns, Robert D.; Weaver, Mark A.; Keefe, Francis J.; Berkoff, David; Meyer, Michelle L.; Medicine, School of Medicine
Background: This update describes changes to the Brief Educational Tool to Enhance Recovery (BETTER) trial in response to the COVID-19 pandemic. Methods/design: The original protocol was published in Trials. Due to the COVID-19 pandemic, the BETTER trial converted to remote recruitment in April 2020. All recruitment, consent, enrollment, and randomization now occur by phone within 24 h of the acute care visit. Other changes to the original protocol include an expansion of inclusion criteria and addition of new recruitment sites. To increase recruitment numbers, eligibility criteria were expanded to include individuals with chronic pain, non-daily opioid use within 2 weeks of enrollment, presenting musculoskeletal pain (MSP) symptoms for more than 1 week, hospitalization in past 30 days, and not the first time seeking medical treatment for presenting MSP pain. In addition, recruitment sites were expanded to other emergency departments and an orthopedic urgent care clinic. Conclusions: Recruiting from an orthopedic urgent care clinic and transitioning to remote operations not only allowed for continued participant enrollment during the pandemic but also resulted in some favorable outcomes, including operational efficiencies, increased enrollment, and broader generalizability.
Complex Transitions from Skilled Nursing Facility to Home: Patient and Caregiver Perspectives
(Springer, 2021) Carnahan, Jennifer L.; Inger, Lev; Rawl, Susan M.; Iloabuchi, Tochukwu C.; Clark, Daniel O.; Callahan, Christopher M.; Torke, Alexia M.; Medicine, School of Medicine
Background: Patients who undergo the complex series of transitions from the hospital to a skilled nursing facility (SNF) back to home represent a unique patient population with multiple comorbidities and impaired functional abilities. The needs and outcomes of patients who are discharged from the hospital to SNF before returning home are understudied in care transitions scholarship. Objective: To study the patient and caregiver challenges and perspectives on transitions from the hospital to the SNF and back to home. Design: Between 48 h and 1 week after discharge from the SNF, semi-structured interviews were performed with a convenience sample of patients and caregivers in their homes. Within 1 to 2 weeks after the baseline interview, follow-up interviews were performed over the phone. Participants: A total of 39 interviewees comprised older adults undergoing the series of transitions from hospital to skilled nursing facility to home and their informal caregivers. Main measures: A constructionist, grounded-theory approach was used to code the interviews, identify major themes and subthemes, and develop a theoretical model explaining the outcomes of the SNF to home transition. Key results: The mean age of the patients was 76.6 years and 64.8 years for the caregivers. Four major themes were identified: comforts of home, information needs, post-SNF care, and independence. Patients noted an extended time away from home and were motivated to return to and remain in the home. Information needs were variably met and affected post-SNF care, including medication management, appointments, and therapy gains and setbacks. Interviewees identified independent function at home as the most important outcome of the transition home. Conclusions: Post-SNF in home support is needed rapidly after discharge from the SNF to prevent adverse outcomes. In-home support needs to be highly individualized based on a patient's and caregiver's unique situation and needs.
Complexities of care: Common components of models of care in geriatrics
(Wiley, 2022) McNabney, Matthew K.; Green, Ariel R.; Burk, Meg; Le, Stephanie T.; Butler, Dawn; Chun, Audrey K.; Elliott, David P.; Fulton, Ana Tuya; Hyer, Kathryn; Setters, Belinda; Shega, Joseph W.; Medicine, School of Medicine
As people age, they are more likely to have an increasing number of medical diagnoses and medications, as well as healthcare providers who care for those conditions. Health professionals caring for older adults understand that medical issues are not the sole factors in the phenomenon of this “care complexity.” Socioeconomic, cognitive, functional, and organizational factors play a significant role. Care complexity also affects family caregivers, providers, and healthcare systems and therefore society at large. The American Geriatrics Society (AGS) created a work group to review care to identify the most common components of existing healthcare models that address care complexity in older adults. This article, a product of that work group, defines care complexity in older adults, reviews healthcare models and those most common components within them and identifies potential gaps that require attention to reduce the burden of care complexity in older adults.
Continuing the Transformation: Charting the Path for the Future Delivery of Veteran Emergency Care
(Wiley, 2023) Ward, Michael J.; Kessler, Chad; Abel, Erica A.; Ahern, Justin; Bravata, Dawn M.; Medicine, School of Medicine
Important changes in the delivery of Veteran emergency care in the early 2000s in the Department of Veteran Affairs (VA) emergency departments and urgent care clinics substantially elevated the role of emergency medicine (EM) in Veteran health care. Focused on enhancing the quality of care, emergency care visits in both VA and non-VA (community) care locations have nearly doubled from the 1980s to more than 3 million visits in Fiscal Year 2022. Recognizing the need to plan for continued growth and the opportunity to address key research priorities, the VA Office of Emergency Medicine, together with the VA Health Services Research and Development Service, collaborated to convene a State of the Art Conference on Veteran Emergency Medicine (SAVE) in the winter of 2022. The goal of this conference was to identify research gaps and priorities for implementation of policies for three priority groups: geriatric Veterans, Veterans with mental health and substance use complaints, and Veterans presenting to non-VA (community) emergency care sites. In this article we discuss the rationale for the SAVE conference including a brief history of VA EM and the planning process and conclude with next steps for findings from the conference.
Creation and Implementation of a Large-Scale Geriatric Interprofessional Education Experience
(Hindawi, 2020-07-25) Mcquown, Colleen; Ahmed, Rami A.; Hughes, Patrick G.; Ortiz-Figueroa, Fabiana; Drost, Jennifer C.; Brown, Diane K.; Fosnight, Sue; Hazelett, Susan; Emergency Medicine, School of Medicine
The care of the older adult requires an interprofessional approach to solve complex medical and social problems, but this approach is difficult to teach in our educational silos. We developed an interprofessional educational session in response to national requests for innovative practice models that use collaborative interprofessional teams. We chose geriatric fall prevention as our area of focus as our development of the educational session coincided with the development of an interprofessional Fall Risk Reduction Clinic. Our aim of this study was to evaluate the number and type of students who attended a pilot and 10 subsequent educational sessions. We also documented the changes that occurred due to a Plan-Do-Study-Act (PDSA) rapid-cycle improvement model to modify our educational session. The educational session evolved into an online presession self-study didactic and in-person educational session with a poster/skill section, an interprofessional team simulation, and simulated patient experience. The simulated patient experience included an interprofessional fall evaluation, team meeting, and presentation to an expert panel. The pilot session had 83 students from the three sponsoring institutions (hospital system, university, and medical university). Students were from undergraduate nursing, nurse practitioner graduate program, pharmacy, medicine, social work, physical therapy, nutrition, and pastoral care. Since the pilot, 719 students have participated in various manifestations of the online didactic plus in-person training sessions. Ten separate educational sessions have been given at three different institutions. Survey data with demographic information were available on 524 participants. Students came from ten different schools and represented thirteen different health care disciplines. A large-scale interprofessional educational session is possible with rapid-cycle improvement, inclusion of educators from a variety of learning institutions, and flexibility with curriculum to accommodate learners in various stages of training.
Decision Support System For Geriatric Care
(Office of the Vice Chancellor for Research, 2010-04-09) Palakal, Mathew; Pandit, Yogesh; Jones, Josette; Xia, Yuni; Bandos, Jean; Geesaman, Jerry; Pecenka, Dave; Tinsley, Eric
Geriatrics is a branch in medicine that focuses on the healthcare of the elderly. We propose to build a decision support system for the elderly care based on a knowledgebase system that incorporates best practices that are reported in the literature. A Bayesian network model is then used for decision support for the geriatric care tool that we develop.
Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department
(Biomed Central, 2019-07-22) Patterson, Brian W.; Jacobsohn, Gwen C.; Shah, Manish N.; Song, Yiqiang; Maru, Apoorva; Venkatesh, Arjun K.; Zhong, Monica; Taylor, Katherine; Hamedani, Azita G.; Mendonça, Eneida A.; Pediatrics, IU School of Medicine
BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably during, and immediately after, emergency department encounters in order to deliver appropriate care and referrals. Unfortunately, falls are difficult to identify without manual chart review, a time intensive process infeasible for many applications including surveillance and quality reporting. Here we describe a pragmatic NLP approach to automating fall identification. METHODS: In this single center retrospective review, 500 emergency department provider notes from older adult patients (age 65 and older) were randomly selected for analysis. A simple, rules-based NLP algorithm for fall identification was developed and evaluated on a development set of 1084 notes, then compared with identification by consensus of trained abstractors blinded to NLP results. RESULTS: The NLP pipeline demonstrated a recall (sensitivity) of 95.8%, specificity of 97.4%, precision of 92.0%, and F1 score of 0.939 for identifying fall events within emergency physician visit notes, as compared to gold standard manual abstraction by human coders. CONCLUSIONS: Our pragmatic NLP algorithm was able to identify falls in ED notes with excellent precision and recall, comparable to that of more labor-intensive manual abstraction. This finding offers promise not just for improving research methods, but as a potential for identifying patients for targeted interventions, quality measure development and epidemiologic surveillance.

Browsing by Subject "Geriatrics"

Results Per Page

Sort Options