scholarly journals Patient-Centered Digital Screener for Elder Abuse in the Emergency Department

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 152-152
Author(s):  
Fuad Abujarad ◽  
Esther Choo ◽  
James Dziura ◽  
Chelsea Edwards ◽  
Michael Pantalon ◽  
...  

Abstract Elder abuse is a growing problem where many cases are left unidentified by professionals. For some older adults, the emergency department may be the sole point of care where they have an opportunity to be identified as victims of abuse. However, current methods of screening tend to miss less obvious forms of abuse and may deter older adults from self-reporting due to either a lack of understanding of abuse or fear of potential consequences. VOICES is an innovative, self-administrated, and automated tablet-based tool that combines screening, educational content, and brief motivational interviewing to enhance and improve identification of elder abuse cases. Combining an elder abuse screener and digital coach designed to guide the older adult through a customized pathway to encourage self-identification and self-reporting of abuse, VOICES is a robust tool engineered to place the screening process in the hands of the older adults, rather than the providers. We will discuss preliminary results of the ongoing feasibility study currently being conducted in the ED, which has successfully enrolled over 500 older adults. Current data indicate that 93% of patients find the tool to be satisfying, engaging, and easy to use. Preliminary findings also suggest that older adults who come in with “Little to none” knowledge of elder abuse increase knowledge of abuse after using the tool. In summary, VOICES appears to be a feasible tablet-based screening tool in the emergency department.

2012 ◽  
Vol 17 (1) ◽  
pp. 11-16
Author(s):  
Lynn Chatfield ◽  
Sandra Christos ◽  
Michael McGregor

In a changing economy and a changing industry, health care providers need to complete thorough, comprehensive, and efficient assessments that provide both an accurate depiction of the patient's deficits and a blueprint to the path of treatment for older adults. Through standardized testing and observations as well as the goals and evidenced-based treatment plans we have devised, health care providers can maximize outcomes and the functional levels of patients. In this article, we review an interdisciplinary assessment that involves speech-language pathology, occupational therapy, physical therapy, and respiratory therapy to work with older adults in health care settings. Using the approach, we will examine the benefits of collaboration between disciplines, an interdisciplinary screening process, and the importance of sharing information from comprehensive discipline-specific evaluations. We also will discuss the importance of having an understanding of the varied scopes of practice, the utilization of outcome measurement tools, and a patient-centered assessment approach to care.


2020 ◽  
Author(s):  
Rai-Fu Chen ◽  
Kuei-Chen Cheng ◽  
Yu-Yin Lin ◽  
I-Chiu Chang ◽  
Cheng-Han Tsai

BACKGROUND Unscheduled emergency department return visits (EDRVs) are key indicators for monitoring the quality of emergency medical care. A high return rate implies that the medical services provided by the emergency department (ED) failed to achieve the expected results of accurate diagnosis and effective treatment. Older adults are more susceptible to diseases and comorbidities than younger adults, and they exhibit unique and complex clinical characteristics that increase the difficulty of clinical diagnosis and treatment. Older adults also use more emergency medical resources than people in other age groups. Many studies have reviewed the causes of EDRVs among general ED patients; however, few have focused on older adults, although this is the age group with the highest rate of EDRVs. OBJECTIVE This aim of this study is to establish a model for predicting unscheduled EDRVs within a 72-hour period among patients aged 65 years and older. In addition, we aim to investigate the effects of the influencing factors on their unscheduled EDRVs. METHODS We used stratified and randomized data from Taiwan’s National Health Insurance Research Database and applied data mining techniques to construct a prediction model consisting of patient, disease, hospital, and physician characteristics. Records of ED visits by patients aged 65 years and older from 1996 to 2010 in the National Health Insurance Research Database were selected, and the final sample size was 49,252 records. RESULTS The decision tree of the prediction model achieved an acceptable overall accuracy of 76.80%. Economic status, chronic illness, and length of stay in the ED were the top three variables influencing unscheduled EDRVs. Those who stayed in the ED overnight or longer on their first visit were less likely to return. This study confirms the results of prior studies, which found that economically underprivileged older adults with chronic illness and comorbidities were more likely to return to the ED. CONCLUSIONS Medical institutions can use our prediction model as a reference to improve medical management and clinical services by understanding the reasons for 72-hour unscheduled EDRVs in older adult patients. A possible solution is to create mechanisms that incorporate our prediction model and develop a support system with customized medical education for older patients and their family members before discharge. Meanwhile, a reasonably longer length of stay in the ED may help evaluate treatments and guide prognosis for older adult patients, and it may further reduce the rate of their unscheduled EDRVs.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tolulope Adeniji ◽  
Adetoyeje Y. Oyeyemi

Purpose This study aims at translating and adapting a common and widely used proxy rated cognitive screening tool – Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) into Hausa language and also to evaluate the instrument’s psychometric properties. Design/methodology/approach IQCODE was translated and adapted using a qualitative process involving experts and the adapted version was then evaluated against a gold standard (Diagnostic and Statistical Manual of Mental Disorder V criteria for neurocognitive disorders) with older adults subjects (N = 100), while its reliability (internal consistency) was also evaluated. Descriptive statistics of mean and frequencies, and inferential statistic of receiver operating curve analysis and Cronbach’s alpha coefficient were used for data analysis at an alpha level set at 0.05. Findings The Hausa IQCODE has a sensitivity value of 73.3%, specificity value of 71.8% and optimal cut-off values of between 3.2 and 3.3. For his adapted instrument the area under the Curve (AUC) curve is 0.79 (95% CI: 0.663–0.919; std. err: 0.066; P = 0.000), and Cronbach’s alpha value of 0.819 was obtained indicating that the adapted instrument has good internal consistency. Research limitations/implications The adapted IQCODE is a valid and reliable proxy based cognitive screening tool for the older adult Hausa speakers in Maiduguri. However, clinician and researcher might want to consider different optimal cut-off points when using this tool to screen or to monitor cognitive changes among older adults. Originality/value This research paper translated and adapted Hausa IQCODE into Hausa language. And it gives information on the validity and reliability of the adapted tool alongside with new optimal cut-off for cognitive screening by proxy among older adult patients in Nigeria.


2020 ◽  
Vol 21 (5) ◽  
Author(s):  
Christopher Solie ◽  
Morgan Swanson ◽  
Kari Harland ◽  
Christopher Blum ◽  
Kevin Kin ◽  
...  

2020 ◽  
Vol 76 (3) ◽  
pp. 280-290
Author(s):  
Timothy F. Platts-Mills ◽  
Karen Hurka-Richardson ◽  
Rayad B. Shams ◽  
Aileen Aylward ◽  
Joseph A. Dayaa ◽  
...  

CJEM ◽  
2019 ◽  
Vol 21 (S1) ◽  
pp. S54-S55
Author(s):  
E. Mercier ◽  
A. Nadeau ◽  
A. Brousseau ◽  
M. Emond ◽  
J. Lowthian ◽  
...  

Introduction: This systematic scoping review aims to synthetize the available evidence on the epidemiology, risk factors, clinical characteristics, screening tools, prevention strategies, interventions and knowledge of health care providers regarding elder abuse in the emergency department (ED). Methods: A systematic literature search was performed using three databases (Medline, Embase and Cochrane Library). Grey literature was scrutinized. Studies were considered eligible when they were observational studies or randomized control trials reporting on elder abuse in the prehospital and/or ED setting. Data extraction was performed independently by two researchers and a qualitative approach was used to synthetize the findings. Results: A total of 443 citations were retrieved from which 58 studies published between 1988 and 2018 were finally included. Prevalence of elder abuse following an ED visit varied between 0.01% and 0.03%. Reporting of elder abuse to proper law authorities by ED physicians varied between 2% to 50% of suspected cases. The most common reported type of elder abuse detected was neglect followed by physical abuse. Female gender was the most consistent factor associated with elder abuse. Cognitive impairment, behavioral problems and psychiatric disorder of the patient or the caregiver were also associated with physical abuse and neglect as well as more frequent ED consultations. Several screening tools have been proposed, but ED-based validation is lacking. Literature on prehospital- or ED-initiated prevention and interventions was scarce without any controlled trial. Health care providers were poorly trained to detect and care for older adults who are suspected of being a victim of elder abuse. Conclusion: Elder abuse in the ED is an understudied topic. It remains underrecognized and underreported with ED prevalence rates lower than those in community-dwelling older adults. Health care providers reported lacking appropriate training and knowledge with regards to elder abuse. Dedicated ED studies are required.


BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e037170
Author(s):  
Brad Cannell ◽  
Julie Weitlauf ◽  
Melvin D Livingston ◽  
Jason Burnett ◽  
Megin Parayil ◽  
...  

IntroductionElder mistreatment (EM) is a high prevalence threat to the health and well-being of older adults in the USA. Medics are well-positioned to help with identification of older adults at risk for EM, however, field robust screening tools appropriate for efficient, observation-based screening are lacking. Prior work by this team focused on the development and initial pilot testing of an observation-based EM screening tool named detection of elder abuse through emergency care technicians (DETECT), designed to be implemented by medics during the course of an emergency response (911) call. The objective of the present work is to validate and further refine this tool in preparation for clinical dissemination.Methods and analysisApproximately 59 400 community-dwelling older adults who place 911 calls during the 36-month study observation period will be screened by medics responding to the call using the DETECT tool. Next, a random subsample of 2520 of the 59 400 older adults screened will be selected to participate in a follow-up interview approximately 2 weeks following the completion of the screening. Follow-up interviews will consist of a medic-led semistructured interview designed to assess the older adult’s likelihood of abuse exposure, physical/mental health status, cognitive functioning, and to systematically evaluate the quality and condition of their physical and social living environment. The data from 25% (n=648) of these follow-up interviews will be presented to a longitudinal, experts and all data panel for a final determination of EM exposure status, representing the closest proxy to a ‘gold standard’ measure available.Ethics and disseminationThis study has been reviewed and approved by the Committee for the Protection of Human Subjects at the University of Texas School of Public Health. The results will be disseminated through formal presentations at local, national and international conferences and through publication in peer-reviewed scientific journals.


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