Screening for Elder Abuse in the Veterans Health Administration: Varied Approaches Across a National Health System.

BACKGROUND: Elder abuse (EA) is common and has devastating health consequences yet is rarely detected by healthcare professionals. While EA screening tools exist, little is known about if and how these tools are implemented in real-world clinical settings. The Veterans Health Administration (VHA) has experience screening for, and resources to respond to, other forms of interpersonal violence and may provide valuable insights into approaches for EA screening. OBJECTIVE: Describe EA screening practices across a national integrated healthcare system serving a large population of older adults at risk for EA. DESIGN: Survey of all 139 VHA medical centers from January to August 2021. PARTICIPANTS: Surveys were completed by the Social Work Chief, or delegate, at each site. MAIN MEASURES: The survey assessed the presence and characteristics of EA-specific screening practices as well as general abuse/neglect screening conducted with patients of all ages, including older adults. Follow-up emails were sent to sites that reported screening requesting additional details not included in the initial survey. KEY RESULTS: Overall, 130 sites (94%) responded. Among respondents, 5 (4%) reported screening older adults for EA using a previously published tool, while 6 (5%) reported screening for EA with an unstudied or locally developed tool. Forty-eight percent reported screening patients of all ages for general abuse/neglect using unstudied questions/tools, and 44% reported no EA screening at their site. Characteristics of screening programs (e.g., frequency, clinical setting, provider type) varied widely between sites, as did respondents' understanding of the definition of screening. CONCLUSIONS: High variability in screening practices for abuse/neglect and lack of EA-specific screening in a system that has successfully deployed other standardized screening approaches present an important opportunity to standardize and improve EA detection practices. Lessons learned in VHA could help advance the evidence base for EA screening more broadly to increase overall detection rates for EA nationally.

Social work and telehealth: How Patient Aligned Care Team (PACT) social workers in the Veterans Health Administration responded to COVID-19.

In March 2020, the Veterans Health Administration (VA) responded to pandemic shutdowns with a rapid pivot toward providing services via telehealth. Using data on Veterans who received interventions from social workers between 2019 and 2020 at sites that participated in a national program to increase social work staffing in primary care, we examined changes in frequency and modality of social work encounters that occurred with the onset of the COVID-19 pandemic. We found that primary care social workers maintained a consistent level of engagement, with increases in telephone and video telehealth encounters as in-person visits decreased. Through front-line perspectives, we discuss the practical innovations and policies that enabled those changes in care from VA primary care social workers.

Patient Priorities Care Increases Long-Term Service and Support Use: Propensity Match Cohort Study.

OBJECTIVES: Patient priorities care (PPC) is an evidence-based approach designed to help patients achieve what matters most to them by identifying their health priorities and working with clinicians to align the care they provide to the patient's priorities. This study examined the impact of the PPC approach on long-term service and support (LTSS) use among veterans. DESIGN: Quasi-experimental study examining differences in LTSS use between veterans exposed to PPC and propensity-matched controls not exposed to PPC adjusting for covariates. SETTING AND PARTICIPANTS: Fifty-six social workers in 5 Veterans Health Administration (VHA) sites trained in PPC in 2018, 143 veterans who used the PPC approach, and 286 matched veterans who did not use the PPC approach. METHODS: Veterans with health priorities identified through the PPC approach were the intervention group (n = 143). The usual care group included propensity-matched veterans evaluated by the same social workers in the same period who did not participate in PPC (n = 286). The visit with the social worker was the index date. We examined LTSS use, emergency department (ED), and urgent care visits, 12 months before and after this date for both groups. Electronic medical record notes were extracted with a validated natural language processing algorithm (84% sensitivity, 95% specificity, and 92% accuracy). RESULTS: Most participants were white men, mean age was 76, and 30% were frail. LTSS use was 48% higher in the PPC group compared with the usual care group [odds ratio (OR), 1.48; 95% CI, 1.00-2.18; P = .05]. Among those who lived >2 years after the index date, new LTSS use was higher (OR, 1.69; 95% CI, 1.04-2.76; P = .036). Among nonfrail individuals, LTSS use was also higher in the PPC group (OR, 1.70; 95% CI, 1.06-2.74; P = .028). PPC was not associated with higher ED or urgent care use. CONCLUSIONS AND IMPLICATIONS: PPC results in higher LTSS use but not ED or urgent care in these veterans. LTSS use was higher for nonfrail veterans and those living longer. The PPC approach helps identify health priorities, including unmet needs for safe and independent living that LTSS can support.

Benefits and challenges in the use of RE-AIM for evaluation of a national social work staffing program in the veterans health administration.

Background: In the Department of Veterans Affairs (VA) Veterans Health Administration (VHA), social workers embedded in primary care teams address social and emotional needs that are associated with health outcomes. The mission of the National Social Work PACT Staffing Program is to improve access to social work services for rural Veterans by supporting additional social work staffing in VA medical centers serving rural areas. Methods: We obtained data from the VA corporate data warehouse on Veterans' characteristics and health care use from 2016 to 2022 for all Veterans who received primary care at a Veterans Affairs Medical Center (VAMC) or associated clinic that received funding from the program. We evaluated the program according to RE-AIM constructs as follows: Reach [total number of Veterans who engaged with PACT social work and representativeness with regard to race, rural residence, chronic conditions and health behaviors, and hospital and emergency department (ED) use in the previous 12 months]; Effectiveness (impact of the program on key health care use outcomes which include hospitalizations, emergency department visits, and palliative care); Adoption (number of VA medical centers and outpatient clinics serving rural Veterans that have participated in the program, and number and representativeness of sites eligible for program participation that have not yet received funding); Implementation (adherence to standardized note templates), and Maintenance (permanent social work positions created by the program and continued technical support). Results: In 2022, the program engaged with 30,982 Veterans, 65% of whom lived in rural areas. The program increased social work encounters, reduce hospital and emergency department use, and increase use of palliative care services among Veterans. Key elements of implementation include proactive outreach to Veterans with high-risk indicators and assessment for social risk factors using standardized, national note templates. In terms of maintenance, the program continues to provide data and technical assistance to 23 sites and has created 171 permanent social work positions. Conclusions and implications: The Social Work PACT Staffing Program demonstrates positive outcomes and program sustainment. The RE-AIM framework was a useful tool to evaluate the program, but additional adaption was needed to fit the program's needs.

Leveraging VA geriatric emergency department accreditation to improve elder abuse detection in older Veterans using a standardized tool.

Elder abuse (EA) is common and has devastating health impacts, yet most cases go undetected limiting opportunities to intervene. Older Veterans receiving care in the Veterans Health Administration (VHA) represent a high-risk population for EA. VHA emergency department (ED) visits provide a unique opportunity to identify EA, as assessment for acute injury or illness may be the only time isolated older Veterans leave their home, but most VHA EDs do not have standardized EA assessment protocols. To address this, we assembled an interdisciplinary team of VHA social workers, physicians, nurses, intermediate care technicians (ICTs; former military medics and corpsmen who often conduct screenings in VHA EDs) and both VHA and non-VHA EA subject matter experts to adapt the Elder Mistreatment Screening and Response Tool (EM-SART) to pilot in the Louis Stokes Cleveland VA Medical Center geriatric ED (GED) program. The cornerstone of their approach is an interdisciplinary GED consultation led by ICTs and nurses who screen high-risk older Veterans for geriatric syndromes and unmet needs. The adapted EM-SART was integrated into the electronic health record and GED workflow in December 2020. By July 2022, a total of 251 Veterans were screened with nine (3.6%) positive on the prescreen and five (2%) positive on the comprehensive screen. Based on the first-year pilot experience, the interdisciplinary team was expanded and convened regularly to further adapt the EM-SART for wider use in VHA, including embedding flexibility for both licensed and nonlicensed clinicians to complete the screening tool and tailoring response options to be specific to VHA policy and resources. The national momentum for VHA EDs to improve care for older Veterans and secure GED accreditation offers unique opportunities to embed this evidence-based approach to EA assessment in the largest integrated health system in the United States.

Measuring Adoption of Patient Priorities-Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model.

BACKGROUND: Patient Priorities Care (PPC) is a model of care that aligns health care recommendations with priorities of older adults who have multiple chronic conditions. Following identification of patient priorities, this information is documented in the patient's electronic health record (EHR). OBJECTIVE: Our goal is to develop and validate a natural language processing (NLP) model that reliably documents when clinicians identify patient priorities (ie, values, outcome goals, and care preferences) within the EHR as a measure of PPC adoption. METHODS: This is a retrospective analysis of unstructured National Veteran Health Administration EHR free-text notes using an NLP model. The data were sourced from 778 patient notes of 658 patients from encounters with 144 social workers in the primary care setting. Each patient's free-text clinical note was reviewed by 2 independent reviewers for the presence of PPC language such as priorities, values, and goals. We developed an NLP model that utilized statistical machine learning approaches. The performance of the NLP model in training and validation with 10-fold cross-validation is reported via accuracy, recall, and precision in comparison to the chart review. RESULTS: Of 778 notes, 589 (75.7%) were identified as containing PPC language (kappa=0.82, P<.001). The NLP model in the training stage had an accuracy of 0.98 (95% CI 0.98-0.99), a recall of 0.98 (95% CI 0.98-0.99), and precision of 0.98 (95% CI 0.97-1.00). The NLP model in the validation stage had an accuracy of 0.92 (95% CI 0.90-0.94), recall of 0.84 (95% CI 0.79-0.89), and precision of 0.84 (95% CI 0.77-0.91). In contrast, an approach using simple search terms for PPC only had a precision of 0.757. CONCLUSIONS: An automated NLP model can reliably measure with high precision, recall, and accuracy when clinicians document patient priorities as a key step in the adoption of PPC.

Embedding Social Workers In Veterans Health Administration Primary Care Teams Reduces Emergency Department Visits.

While an emerging body of evidence suggests that medical homes may yield more benefits than traditional care models do, the role of social workers within medical homes has yet to be evaluated separately. We assessed the impact of an initiative to add social workers to rural primary care teams in the Veterans Health Administration on patients' use of social work services, hospital admissions, and emergency department visits. We found that introducing a social worker increased social work encounters by 33 percent among all veterans who received care. Among high-risk patients, we observed a 4.4 percent decrease in the number of veterans who had any acute hospital admission and a 3.0 percent decrease in veterans who had any emergency department visit, after the introduction of a social worker. Investing in social workers is a key strategy for addressing the social determinants of health and managing care coordination for high-risk, high-need populations.