Radiologists' Training, Experience, and Attitudes About Elder Abuse Detection

Elder abuse geriatrics: describing an important new medical specialist

Elder mistreatment, including elder abuse and neglect, is a difficult diagnosis to make and manage for most providers. To address this, two elder abuse consultation teams were developed for patients in the hospital and emergency department settings. As these teams have developed, the providers involved have obtained specialized training and experience that we believe contributes to a new field of elder abuse geriatrics, a corollary to the well-established field of child abuse pediatrics. Providers working in this field require specialized training and have a specialized scope of practice that includes forensic evaluation, evaluation of cognition and capacity, care coordination and advocacy for victims of abuse, and collaboration with protective services and law enforcement. Here we describe the training, scope of practice, ethical role, and best practices for elder mistreatment medical consultation. We hope this will serve as a starting point for this new and important medical specialty.

Global Approaches to Primary, Secondary, and Tertiary Elder Abuse Prevention: A Scoping Review

Public health professionals use a three-pronged approach to address broad-reaching issues of societal concern: primary prevention, secondary prevention, and tertiary prevention. Applying this framework to the study of elder abuse, the purpose of this review is to describe the status of elder abuse prevention research on a global scale. Elder abuse prevention articles published between 2015 and 2021 were identified through electronic bibliographic searches (PubMed, Medline, CINAHL, APA PsycINFO, and AgeLine). After removing articles based on inclusion and exclusion criteria, articles were sorted into the three main prevention types and further divided into subcategories for a more in-depth review. Most of the studies identified were conducted in North America (n = 42). Of the 72 articles identified, 13 articles focused on primary prevention (agism, education, and intervention), 35 articles focused on secondary prevention (developing and evaluating screening tools, identifying and reporting abuse, and barriers to detecting and reporting abuse), and 21 focused on tertiary prevention (professional response to cases of abuse, intervention methods, and impact of policy). Collectively, findings bring greater understanding of elder abuse as a public health problem and identify ways of addressing the complexities of elder abuse. Several gaps were identified in the elder abuse prevention literature including the need for global research that includes older adults as stakeholders, evidence-based education and intervention programs, and cultural sensitive and valid tools to identify elder abuse.

Elder Mistreatment: Emergency Department Recognition and Management

Elder mistreatment is experienced by 5% to 15% of community-dwelling older adults each year. An emergency department (ED) encounter offers an important opportunity to identify elder mistreatment and initiate intervention. Strategies to improve detection of elder mistreatment include identifying high-risk patients; recognizing suggestive findings from the history, physical examination, imaging, and laboratory tests; and/or using screening tools. ED management of elder mistreatment includes addressing acute issues, maximizing the patient's safety, and reporting to the authorities when appropriate.

Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types

BACKGROUND

Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractures by training algorithms to emulate the judgments of expert clinicians. Deep learning systems that detect fractures are often limited to specific anatomic regions and require regulatory approval to be used in practice. Once these hurdles are overcome, deep learning systems have the potential to improve clinician diagnostic accuracy and patient care.

QUESTIONS/PURPOSES

This study aimed to evaluate whether a Food and Drug Administration-cleared deep learning system that identifies fractures in adult musculoskeletal radiographs would improve diagnostic accuracy for fracture detection across different types of clinicians. Specifically, this study asked: (1) What are the trends in musculoskeletal radiograph interpretation by different clinician types in the publicly available Medicare claims data? (2) Does the deep learning system improve clinician accuracy in diagnosing fractures on radiographs and, if so, is there a greater benefit for clinicians with limited training in musculoskeletal imaging?

METHODS

We used the publicly available Medicare Part B Physician/Supplier Procedure Summary data provided by the Centers for Medicare & Medicaid Services to determine the trends in musculoskeletal radiograph interpretation by clinician type. In addition, we conducted a multiple-reader, multiple-case study to assess whether clinician accuracy in diagnosing fractures on radiographs was superior when aided by the deep learning system compared with when unaided. Twenty-four clinicians (radiologists, orthopaedic surgeons, physician assistants, primary care physicians, and emergency medicine physicians) with a median (range) of 16 years (2 to 37) of experience postresidency each assessed 175 unique musculoskeletal radiographic cases under aided and unaided conditions (4200 total case-physician pairs per condition). These cases were comprised of radiographs from 12 different anatomic regions (ankle, clavicle, elbow, femur, forearm, hip, humerus, knee, pelvis, shoulder, tibia and fibula, and wrist) and were randomly selected from 12 hospitals and healthcare centers. The gold standard for fracture diagnosis was the majority opinion of three US board-certified orthopaedic surgeons or radiologists who independently interpreted the case. The clinicians' diagnostic accuracy was determined by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, sensitivity, and specificity. Secondary analyses evaluated the fracture miss rate (1-sensitivity) by clinicians with and without extensive training in musculoskeletal imaging.

RESULTS

Medicare claims data revealed that physician assistants showed the greatest increase in interpretation of musculoskeletal radiographs within the analyzed time period (2012 to 2018), although clinicians with extensive training in imaging (radiologists and orthopaedic surgeons) still interpreted the majority of the musculoskeletal radiographs. Clinicians aided by the deep learning system had higher accuracy diagnosing fractures in radiographs compared with when unaided (unaided AUC: 0.90 [95% CI 0.89 to 0.92]; aided AUC: 0.94 [95% CI 0.93 to 0.95]; difference in least square mean per the Dorfman, Berbaum, Metz model AUC: 0.04 [95% CI 0.01 to 0.07]; p < 0.01). Clinician sensitivity increased when aided compared with when unaided (aided: 90% [95% CI 88% to 92%]; unaided: 82% [95% CI 79% to 84%]), and specificity increased when aided compared with when unaided (aided: 92% [95% CI 91% to 93%]; unaided: 89% [95% CI 88% to 90%]). Clinicians with limited training in musculoskeletal imaging missed a higher percentage of fractures when unaided compared with radiologists (miss rate for clinicians with limited imaging training: 20% [95% CI 17% to 24%]; miss rate for radiologists: 14% [95% CI 9% to 19%]). However, when assisted by the deep learning system, clinicians with limited training in musculoskeletal imaging reduced their fracture miss rate, resulting in a similar miss rate to radiologists (miss rate for clinicians with limited imaging training: 9% [95% CI 7% to 12%]; miss rate for radiologists: 10% [95% CI 6% to 15%]).

CONCLUSION

Clinicians were more accurate at diagnosing fractures when aided by the deep learning system, particularly those clinicians with limited training in musculoskeletal image interpretation. Reducing the number of missed fractures may allow for improved patient care and increased patient mobility.

LEVEL OF EVIDENCE

Level III, diagnostic study.

Idiosyncratic biases in the perception of medical images

Introduction

Radiologists routinely make life-altering decisions. Optimizing these decisions has been an important goal for many years and has prompted a great deal of research on the basic perceptual mechanisms that underlie radiologists' decisions. Previous studies have found that there are substantial individual differences in radiologists' diagnostic performance (e.g., sensitivity) due to experience, training, or search strategies. In addition to variations in sensitivity, however, another possibility is that radiologists might have perceptual biases-systematic misperceptions of visual stimuli. Although a great deal of research has investigated radiologist sensitivity, very little has explored the presence of perceptual biases or the individual differences in these.

Methods

Here, we test whether radiologists' have perceptual biases using controlled artificial and Generative Adversarial Networks-generated realistic medical images. In Experiment 1, observers adjusted the appearance of simulated tumors to match the previously shown targets. In Experiment 2, observers were shown with a mix of real and GAN-generated CT lesion images and they rated the realness of each image.

Results

We show that every tested individual radiologist was characterized by unique and systematic perceptual biases; these perceptual biases cannot be simply explained by attentional differences, and they can be observed in different imaging modalities and task settings, suggesting that idiosyncratic biases in medical image perception may widely exist.

Discussion

Characterizing and understanding these biases could be important for many practical settings such as training, pairing readers, and career selection for radiologists. These results may have consequential implications for many other fields as well, where individual observers are the linchpins for life-altering perceptual decisions.

Elderly abuse, affecting factors and evaluation of life satisfaction: a cross-sectional study

BACKGROUND

The aim of this study was to evaluate the frequency of abuse and its effect on life satisfaction in older adults living in our region.

METHOD

This research is a cross-sectional study. The participants of the study were an elderly population who applied to one 'family health centre'. The study was completed with the participation of 332 people. The study was carried out between June and July 2021. A questionnaire form, Geriatric Mistreatment Scale (GMS), Hwalek-Sengstock Elder Abuse Screening Test (H-S/EAST), and Satisfaction with Life Scale (SWLS) were used in the study.

RESULTS

According to the GMS, 16.0% of the participants experience abuse. Psychological abuse (6.92%) was the highest according to the GMS sub-dimensions. This was followed by physical abuse (6.6%), neglect (1.8%), economic abuse (1.5%), and sexual abuse (1.5%). According to H-S/EAST, 22.9% of participants experience abuse. The perpetrators of abuse are mostly spouses, children and relatives of the elderly. There is a negative correlation between the H-S/EAST score and the SWLS score. Uneducated elderly people are exposed to abuse more than primary education graduates. Compared to the elderly living in a nuclear family, more abuse is seen in extended families and those living alone.

CONCLUSION

The fact that the houses in which the elderly live are not physically suitable increases the risk of abuse. Identifying and trying to minimise local risk factors for elder abuse can help reduce the prevalence of abuse. We hope that these data will be a guide for future intervention studies.

Nonaccidental Injury in the Elderly: What Radiologists Need to Know

Elder abuse may result in serious physical injuries and long-term psychological consequences and can be life threatening. Over the past decade, attention to elder abuse has increased owing to its high prevalence, with one in six people aged 60 years and older experiencing some form of abuse worldwide. Despite this, the detection and reporting rates remain relatively low. While diagnostic imaging is considered critical in detection of child abuse, it is relatively underused in elder abuse. The authors discuss barriers to use of imaging for investigation and diagnosis of elder abuse, including lack of training, comorbidities present in this vulnerable population, and lack of communication among the intra- and interdisciplinary care providers. Moreover, imaging features that should raise clinical concern for elder abuse are reviewed, including certain types of fractures (eg, posterior rib), characteristic soft-tissue and organ injuries (eg, shoulder dislocation), and cases in which the reported mechanism of injury is inconsistent with the imaging findings. As most findings suggesting elder abuse are initially discovered at radiography and CT, the authors focus mainly on use of those modalities. This review also compares and contrasts elder abuse with child abuse. Empowered with knowledge of elderly victims' risk factors, classic perpetrator characteristics, and correlative imaging findings, radiologists should be able to identify potential abuse in elderly patients presenting for medical attention. Future recommendations for research studies and clinical workflow to increase radiologists' awareness of and participation in elder abuse detection are also presented. An invited commentary by Jubanyik and Gettel is available online. Online supplemental material is available for this article. ^©RSNA, 2022.

A 10-year retrospective analysis of intimate partner violence patients in the emergency department

BACKGROUND

Intimate partner violence (IPV) is an important human rights problem faced by one in three women worldwide. The aim of this study is to evaluate the demographic, trauma, and radiological characteristics of patients admitted to a tertiary emer-gency department due to IPV.

METHODS

Sociodemographic characteristics (age, gender, education level, and marital status), trauma characteristics (severity, type, and location), radiological imaging findings (radiography, computed tomography, and magnetic resonance imaging) of patients diagnosed with IPV were evaluated.

RESULTS

In the study, 1225 patients were evaluated, and 98.7% of them were women (mean age 35 [IQR: 17] years). Of the pa-tients, 63.1% were high school and university graduates. The rate of married women was 74.6%. No relationship was found between gender, age, educational status, and marital status (p>0.05). Most of the traumas were minor (85.4%) and blunt (81.9%) trauma, and the most common types of trauma were kicking (49.9%) and punching (47.3%). It was found that the most frequently affected areas of the patients were the head and neck (76.7%), and the frequency of pelvic trauma was high in male patients (p<0.05). The most com-mon bone fracture was nasal (40.5%) followed by ulna fractures (14.5%). The left-sided diaphyseal fractures were the most common in patients exposed to IPV. In our study, the frequency of mortality was 12.9%, and it was found to be significantly higher in males (p<0.05).

CONCLUSION

Female patients are more frequently exposed to IPV. Specific injury characteristics can be detected in patients diagnosed with IPV and old fractures detected in these patients should alert the clinician about IPV.

Global Research Activity on Elder Abuse: A Bibliometric Analysis (1950-2017)

Elder abuse is an emerging worldwide public health, human right, and social priority for governments and health policy makers. The aim of the current study was to provide an in-depth quantitative analysis of literature on elder abuse published in academic journals. A bibliometric method was implemented using Scopus database for the study period from 1950 to 2017. The search strategy utilized specific keywords to retrieve relevant documents. One thousand eight hundred seventy-two documents appeared in Scopus when using the search strategy. The annual number of publications showed a fluctuating pattern in the past four decades. Publications on elder abuse originated mainly from Northern America and Western Europe. International research collaboration on elder abuse was relatively low. The mean number of authors per document was 1.4. The Journal of Elder Abuse and Neglect published almost one third of the retrieved documents. The Rush University was the most active institution and Professor Dong, X.Q. was the most active author in this field. The most frequently encountered keywords were risk factors, prevalence, intervention, prevention, dementia, and nursing homes. Physical abuse was the most common type of elder abuse studied followed by psychological and financial abuse. Elder abuse is under-researched and of limited priority in most world regions. Governments need to take into consideration preventive policies of elder abuse based on research findings.

How Experiences of Child Abuse Pediatricians and Lessons Learned May Inform Health Care Providers Focused on Improving Elder Abuse Geriatrics Clinical Practice and Research

The experience of physicians and other health care providers in child abuse pediatrics in the last six decades includes successes and failures, which can offer critical insights to inform the growing field of health care providers focusing on elder abuse clinical practice and research. We identify and describe in detail relevant lessons learned, including balancing an urgent call to action with a need for robust evidence to support clinical conclusions. We discuss solutions to research challenges, including the lack of a uniform gold standard for abuse diagnosis and how to ethically recruit subjects who may have cognitive impairment and also be crime victims. We offer recommendations on recruiting and training a specialized health care workforce. We make suggestions for health care providers about how to navigate the legal world including issues with expert testimony and also how to participate in policymaking and development of rational systems. We emphasize the importance of developing and supporting partnerships within the field, with allied fields inside and outside medicine, and internationally. We also highlight the value of connecting researchers and clinicians focused on different types of family violence.

Can diagnostic imaging help improve elder abuse detection?

Elder abuse is an underdetected, under-reported issue with severe consequences. Its detection presents unique challenges based on characteristics of this vulnerable population, including cognitive impairment, age-related deconditioning, and an increased number of co-morbidities, all of which predispose to increase vulnerability to injury. While radiologists play a critical role in detection of child abuse, this role is currently not paralleled in detection of elder abuse. We conducted a thorough review of the literature using MEDLINE to describe the current knowledge on injury patterns and injury findings seen in elder abuse, as well as barriers to and recommendations for an increased role of diagnostic imaging in elder abuse detection. Barriers limiting the role of radiologists include lack of training and paucity of rigorous systematic research delineating distinctive imaging findings for physical elder abuse. We outline the current ways in which imaging can help raise clinical suspicion for elder abuse, including inconsistencies between purported mechanism of injury and imaging findings, injury location, multiple injuries at differing stages of healing, and particular patterns of injury likely to be intentionally inflicted. We additionally outline the mechanism by which medical education and clinical workflow may be modified to increase the role for imaging and radiologist participation in detecting abuse in older adult patients, and identify potential future directions for further systematic research.

A new role for imaging in the diagnosis of physical elder abuse: results of a qualitative study with radiologists and frontline providers

Pediatric radiologists play a key role in the detection of child abuse through the identification of characteristic injury patterns. Emergency radiologists have the potential to play an equally important role in the detection of elder physical abuse; however, they currently play little to no part in this effort. We examine the reasons behind this limited role, and potential strategies to expand it, by interviewing attending faculty from Emergency Radiology, Geriatrics, Emergency Medicine, Pediatric Radiology, and Pediatrics. Our interviews revealed that radiologists' contribution to elder abuse detection is currently limited by gaps in training, gaps in knowledge about imaging correlates, and gaps in inter-team clinical communication. Specifically, radiographic interpretation of elder trauma is severely restricted by lack of communication between frontline providers and radiologists about patients' injury mechanism and functional status. Improving this communication and re-conceptualizing ED workflow is critical to expanding and optimizing radiologists' role in elder abuse detection.

Radiologic Findings in Intimate Partner Violence

Purpose To assess the radiologic findings associated with intimate partner violence (IPV). Materials and Methods Electronic medical records of 185 patients referred to the IPV support program from the emergency department (ED) between January 2015 and October 2016 were retrospectively reviewed and compared with an age- and sex-matched control group of 555 subjects (1:3 ratio of IPV victims to control subjects) who presented to the ED. Reports of all imaging studies performed within 5 years prior to the index ED visit were reviewed. Results The majority of patients who experienced IPV (mean age, 34.2 years ± 12.2 [standard deviation]) were female (178 of 185 [96.2%]) and were largely African American (69 of 185 [37.3%]). Demographic and clinical variables independently associated with IPV were race (odds ratio [OR] range, 3.2-5.9; 95% confidence interval [CI]: 1.8, 12.7), psychiatric comorbidities (OR, 5.4; 95% CI: 3.4, 8.8), and homelessness (OR, 13.0; 95% CI: 5.4, 31.2). IPV victims underwent more imaging studies in the preceding 5 years (median, four studies) than did control subjects (median, one study). Obstetric-gynecologic findings (OR, 4.4; 95% CI: 2.1, 9.6) and acute fractures (OR, 2.4, 95% CI: 1.1, 5.3) seen on images were independently associated with IPV. The addition of imaging findings to demographic and clinical variables increased the area under the receiver operating characteristic curve (AUC) of the multivariate model to detect IPV (0.87 vs 0.86, P < .01), and the cross-validated multivariate model had an AUC of 0.85. Acute fractures involved the face or skull (range, P < .01 to P = .05), and chronic fractures affected the extremities and nasal bone (P < .01 and P = .05, respectively) more frequently in the IPV group than in the control group. Conclusion Intimate partner violence victims undergo more imaging studies and have a higher frequency of potential violence-related imaging findings when compared with age- and sex-matched control subjects. © RSNA, 2019 See also the editorial by Flores and Narayan in this issue.

Imaging of Violence Against the Elderly and the Women

Emergency department assessment is a critical opportunity to identify elder abuse and violence against women, which represent a growing problem, requiring the attention of health care systems. Elder abuse is most frequently perpetrated by family members because of the higher levels of stress, burnout, and financial problems affecting the caregivers that can even lead to deadly consequences. Intimate partner violence is defined as physical, sexual, or psychological harm caused to another by a current or former partner or spouse, and can range from a single acute hit to chronic battering, varying in frequency and severity. Radiologists have a critical role in detecting those injury findings suggestive of abuse and violence. When appropriate, additional information about the social circumstances in which an injury took place, linked with imaging findings, may also be helpful in diagnosing abuse. The purpose of this article is to highlight the role of diagnostic imaging in the detection of lesions compatible with domestic abuse in elderly patients and women, and to allow the recognition of the alterations most frequently associated with this type of violence.

Identifying and Initiating Intervention for Elder Abuse and Neglect in the Emergency Department

Elder abuse and neglect are common and may have serious medical and social consequences but are infrequently identified. An emergency department (ED) visit represents a unique but usually missed opportunity to identify potential abuse and initiate intervention. ED assessment should include observation of patient-caregiver interaction, comprehensive medical history, and head-to-toe physical examination. Formal screening protocols may also be useful. ED providers concerned about elder abuse or neglect should document their findings in detail. ED interventions for suspected or confirmed elder abuse or neglect include treatment of acute medical, traumatic, and psychological issues; ensuring patient safety; and reporting to the authorities.

Improving Quality of Care in Hospitals for Victims of Elder Mistreatment: Development of the Vulnerable Elder Protection Team

PROBLEM DEFINITION

Hospitals have an opportunity to improve the quality of care provided to a particularly vulnerable population: victims of elder mistreatment. Despite this, no programs to prevent or stop elder abuse in the acute care hospital have been reported. An innovative, multidisciplinary emergency department (ED)-based intervention for elder abuse victims, the Vulnerable Elder Protection Team (VEPT), was developed at NewYork-Presbyterian / Weill Cornell Medical Center (New York City).

APPROACH

The VEPT is a consultation service available 24 hours a day/7 days a week to improve identification, comprehensive assessment, and treatment for potential victims of elder abuse or neglect. All ED providers have been trained on how to recognize signs of elder mistreatment. Any provider can activate the VEPT via a single page/telephone call, which triggers the VEPT's often time-consuming, complex assessment of the potential mistreatment victim. First, the ED social worker on duty performs the initial bedside assessment and separately interviews the potential perpetrator and/or caregiver. He or she then contacts the on-call VEPT medical provider to discuss next steps and other team members' potential involvement. For patients admitted to the hospital, the VEPT connects with the inpatient social workers and medical team to ensure appropriate follow-up and care planning.

NEXT STEPS/PLANNED EVALUATION

The VEPT program was launched in April 2017 after comprehensive training. Its impact will be measured by tracking the short-term and long-term mistreatment-related outcomes, as well as medical, mental health, functional, psychosocial, and legal outcomes of the vulnerable ED patients for whom the team provides care.