Optimizing ChatGPT's Interpretation and Reporting of Delirium Assessment Outcomes: Exploratory Study.

BACKGROUND: Generative artificial intelligence (AI) and large language models, such as OpenAI's ChatGPT, have shown promising potential in supporting medical education and clinical decision-making, given their vast knowledge base and natural language processing capabilities. As a general purpose AI system, ChatGPT can complete a wide range of tasks, including differential diagnosis without additional training. However, the specific application of ChatGPT in learning and applying a series of specialized, context-specific tasks mimicking the workflow of a human assessor, such as administering a standardized assessment questionnaire, followed by inputting assessment results in a standardized form, and interpretating assessment results strictly following credible, published scoring criteria, have not been thoroughly studied. OBJECTIVE: This exploratory study aims to evaluate and optimize ChatGPT's capabilities in administering and interpreting the Sour Seven Questionnaire, an informant-based delirium assessment tool. Specifically, the objectives were to train ChatGPT-3.5 and ChatGPT-4 to understand and correctly apply the Sour Seven Questionnaire to clinical vignettes using prompt engineering, assess the performance of these AI models in identifying and scoring delirium symptoms against scores from human experts, and refine and enhance the models' interpretation and reporting accuracy through iterative prompt optimization. METHODS: We used prompt engineering to train ChatGPT-3.5 and ChatGPT-4 models on the Sour Seven Questionnaire, a tool for assessing delirium through caregiver input. Prompt engineering is a methodology used to enhance the AI's processing of inputs by meticulously structuring the prompts to improve accuracy and consistency in outputs. In this study, prompt engineering involved creating specific, structured commands that guided the AI models in understanding and applying the assessment tool's criteria accurately to clinical vignettes. This approach also included designing prompts to explicitly instruct the AI on how to format its responses, ensuring they were consistent with clinical documentation standards. RESULTS: Both ChatGPT models demonstrated promising proficiency in applying the Sour Seven Questionnaire to the vignettes, despite initial inconsistencies and errors. Performance notably improved through iterative prompt engineering, enhancing the models' capacity to detect delirium symptoms and assign scores. Prompt optimizations included adjusting the scoring methodology to accept only definitive "Yes" or "No" responses, revising the evaluation prompt to mandate responses in a tabular format, and guiding the models to adhere to the 2 recommended actions specified in the Sour Seven Questionnaire. CONCLUSIONS: Our findings provide preliminary evidence supporting the potential utility of AI models such as ChatGPT in administering standardized clinical assessment tools. The results highlight the significance of context-specific training and prompt engineering in harnessing the full potential of these AI models for health care applications. Despite the encouraging results, broader generalizability and further validation in real-world settings warrant additional research.

Neuropsychiatric symptoms in people living with dementia receiving home health services.

BACKGROUND: We sought to describe neuropsychiatric symptoms (NPS) among people living with dementia (PLWD) from diverse racial and ethnic groups receiving home health services while accounting for dementia severity, individual symptom prevalence, and neighborhood disadvantage. METHODS: A prospective study using cross-sectional data from n = 192 PLWD receiving skilled home healthcare in New Jersey enrolled in the Dementia Symptom Management at Home Program trial. We prospectively measured symptom prevalence with the Neuropsychiatric Inventory Questionnaire and dementia severity using the Quick Dementia Rating System. A one-way ANOVA determined NPS prevalence by dementia severity (mild, moderate, severe). Fisher's exact tests were used to assess the association of individual symptom prevalence with race and ethnicity and cross tabs to descriptively stratify individual symptom prevalence by dementia severity among groups. A Pearson correlation was performed to determine if a correlation existed among neighborhood disadvantages measured by the Area Deprivation Index (ADI) state decile scores and NPS prevalence and severity. RESULTS: Participants identified as non-Hispanic White (50%), non-Hispanic Black (30%), or Hispanic (13%). NPS were prevalent in 97% of participants who experienced 5.4 ± 2.6 symptoms with increased severity (10.8 ± 6.6) and care partner distress (13.8 ± 10.8). NPS increased with dementia severity (p = 0.004) with the greatest difference seen between individuals with mild dementia (4.3 ± 2.3) versus severe dementia (5.9 ± 2.3; p = 0.002). Few differences were found in symptom prevalence by racial and ethnic sub-groups. Nighttime behaviors were higher in non-Hispanic Black (78%), compared with non-Hispanic Whites (46%) with moderate dementia, p = 0.042. State ADI scores were not correlated with the number of NPS reported, or severity. CONCLUSIONS: NPS were prevalent and increased with dementia severity with commonalities among racial and ethnic groups with varying levels of neighborhood disadvantage. There is a need for effective methods for improving NPS identification, assessment, and management broadly for homebound PLWD.

Resilience-enhancing interventions for family caregivers: A systematic review.

OBJECTIVES: To synthesize interventions designed to enhance resilience in family caregivers (FCs). METHODS: Electronic databases including PubMed, CINAHL, PsycINFO, and Scopus, were searched using index and keyword methods for articles published before January 2020. The review process followed the PRISMA review guidelines. Study quality was assessed using the Mixed Methods Appraisal Tool (MMAT). RESULTS: Six studies (seven articles) were included in this review. Quantitative evidence supports the benefits of psychoeducation, mindfulness-based intervention, and cognitive behavioral therapy (CBT)-based intervention but not expressive writing in improving in FCs' resilience. Four of the six included studies were randomized controlled trials. All included studies only met 40% to 60% of the MMAT criteria, indicating low to moderate levels of study quality. CONCLUSION: This review showed emerging evidence that psychoeducation, mindfulness-based intervention, and CBT-based intervention may improve caregiver resilience. However, it remains unclear which intervention and what dosage is the most effective in promoting FCs' resilience. Due to the small number of relevant studies and a low-to-moderate level of overall study quality, more rigorous clinical trials are needed to strengthen the current limited evidence base for FC resilience interventions.

Examining Engagement and Usability in an Online Discussion Platform for Older Adults: Findings From Pilot Studies.

Social media may facilitate older adults' ability to engage socially and explore health information, but it can present difficulties for older adults. Therefore, it is important to explore older adults' experience of usability and user engagement. We conducted two rounds of pilot studies where we used Facebook to engage older adults. We performed a mixed-methods evaluation of user engagement and usability. A directed content analysis of qualitative data from the pilot studies was used to explore engagement and perceived usability, and the Mann-Whitney U test was used to examine differences in feature usage and engagement. We analyzed qualitative data from 13 participants. Qualitative data analysis yielded themes pertaining to three main domains: user engagement , usability , and usability related to aging-related changes . In terms of user engagement and usability, participants in both pilot studies reported positive feedback on felt involvement and endurability, and the second pilot group reported more positive comments regarding perceived usefulness compared with the first pilot group. There was no statistically significant difference in usage over the two studies. The findings of this study suggest opportunities to improve older adults' experience of online discussion platforms. Considering changes that improve perceived aesthetic appeal and focused attention will be helpful.

Treatment of class II malocclusion with Invisalign®: A pilot study using digital model-integrated maxillofacial cone beam computed tomography.

Background/purpose: The treatment effects of Invisalign® are still obscure due to methodological limitations of previous studies. We introduced a method to comprehensively evaluate the dental and skeletal changes of Class II malocclusion treated non-extraction with Invisalign® and compare with the virtual simulation of ClinCheck® using digital models integrated into maxillofacial cone-beam computed tomography (CBCT). Materials and methods: The pretreatment (T1) and posttreatment (T2) scanned digital images of actual dentitions were integrated into maxillofacial CBCT images. To evaluate three-dimensional movement of maxillary teeth and change of mandible position, T1 and T2 digital model-integrated maxillofacial CBCT images were superimposed using voxel-based registrations of stable cranial base structures. To evaluate movement of mandibular teeth, model-integrated mandibular CBCT superimposition was registered on mandibular basal bone. To compare achieved and predicted tooth movements, the actual dental images and the virtual digital models created by ClinCheck® were registered on the T1 dentitions. Results: For simulated upper first molar (U6) distalization of more than 1 mm, treatment accuracy ranged from 31.1% to 40.1%, which was significantly less than virtual planning and previous reports. In unilateral Class II subjects, the amount of U6 distalization on the Class II side was not significantly different from contralateral side, indicating efficacy of sequential distalization was questionable. Those with favorable overjet correction showed evidence of condylar distraction. Conclusion: Digital model-integrated CBCT superimpositions reflected the actual treatment changes in comparison with the virtual simulation, and showed that ideal occlusion was not achieved in mild to moderate Class II adult patients treated non-extraction with Invisalign®.

Using artificial intelligence to improve pain assessment and pain management: a scoping review.

CONTEXT: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and treating pain using artificial intelligence (AI) approaches may improve patient outcomes and healthcare resource utilization. A comprehensive synthesis of the current use and outcomes of AI-based interventions focused on pain assessment and management will guide the development of future research. OBJECTIVES: This review aims to investigate the state of the research on AI-based interventions designed to improve pain assessment and management for adult patients. We also ascertain the actual outcomes of Al-based interventions for adult patients. METHODS: The electronic databases searched include Web of Science, CINAHL, PsycINFO, Cochrane CENTRAL, Scopus, IEEE Xplore, and ACM Digital Library. The search initially identified 6946 studies. After screening, 30 studies met the inclusion criteria. The Critical Appraisals Skills Programme was used to assess study quality. RESULTS: This review provides evidence that machine learning, data mining, and natural language processing were used to improve efficient pain recognition and pain assessment, analyze self-reported pain data, predict pain, and help clinicians and patients to manage chronic pain more effectively. CONCLUSIONS: Findings from this review suggest that using AI-based interventions has a positive effect on pain recognition, pain prediction, and pain self-management; however, most reports are only pilot studies. More pilot studies with physiological pain measures are required before these approaches are ready for large clinical trial.

Potential sources of moral distress during COVID-19: Perspectives of hospice interdisciplinary teams.

OBJECTIVE: This study aimed to examine the impact of COVID-19 on hospice Interdisciplinary team (IDT) members' self-reported stress and identify possible sources of moral distress. METHODS: A cross-sectional survey was conducted using Qualtrics to understand the impact of COVID-19 on quality improvement initiative implementation and hospice IDT members' general and dementia-specific care provision. Directed qualitative content analysis was used to analyze hospice IDT members' responses from five open-ended survey questions that were indicative of stress and possible moral distress. RESULTS: The final sample consisted of 101 unique respondents and 175 comments analyzed. Three categories related to sources of moral distress based on hospice IDT member survey responses were identified: (1) impact of telehealth, personal protective equipment (PPE), and visit restrictions on relationships; (2) lack of COVID-19-specific skills; and (3) organizational climate. Sources of moral distress were categorized in 40% of all responses analyzed. SIGNIFICANCE OF RESULTS: This study is one of the first to document and confirm evidence of potential stress and moral distress amongst hospice IDT members during COVID-19. It is imperative given the possible negative impact on patient care and clinician well-being, that future research and interventions incorporate mechanisms to support clinicians' emotional and ethical attunement and support organizations to actively engage in practices that address clinician moral distress resulting from restrictive environments, such as the one necessitated by COVID-19.

American Delirium Society 2022 Year in Review: Highlighting the Year's Most Impactful Delirium Research.

Background: Since 2015, the American Delirium Society (ADS) Research Committee has conducted an annual survey of the delirium literature for presentation in its year-in-review session. Our objectives were to describe the review process used for the 2021-2022 and to summarise the selected publications. Methods: Each member of the ADS Research Committee nominated up to 6 publications considered to be the most impactful primary delirium research published from September 1, 2021, to July 31, 2022. The 24 nominated studies were divided into three categories balanced by number of articles: medical intervention trials, non-medical intervention trials, and delirium detection/basic science studies. Each ADS Research Committee member ranked all studies in their assigned category for methodological rigor and for impact, each being scored as 0-10, for a total score of 0-20. It was decided a priori to select the top three highest-scoring articles in each category for presentation, with ties adjudicated by Committee consensus. Results: Nineteen Research Committee members served as reviewers. Scores for each category were similar: medical interventions mean (standard deviation) 12.8 (1.1), non-medical interventions 13.1 (1.1), and detection/basic science 12.6 (1.0). We summarise the results of the papers presented in the 2022 ADS year-in-review session. Conclusion: The diversity of studies presented for the 2022 ADS year-in-review session illustrates the breadth of the delirium field and the growing number of clinical trials. The dissemination of publications across a broad, diverse array of journals provides further justification of the need for delirium-specific journals.

A Pilot Observational Exploratory Study of Well-Being in Hospice Interdisciplinary Team Members.

INTRODUCTION: Well-being and turnover intent represent key aspects to the promotion of a healthy workforce. Alarming levels of burnout and low levels of well-being have been documented in health professionals across care settings. Not only do high levels of burnout, low well-being and high turnover affect health professionals, but they are associated with poor patient care. However, limited research has investigated this topic specifically in hospice interdisciplinary team (IDT) members, nurses, chaplains, social workers. Thus, the purpose of this study was to explore hospice IDT members' well-being, and turnover intent. METHODS: This observational, pilot study used quantitative surveys to examine the well-being, and turnover intention at baseline and at 3 months. Twenty-five hospice IDT members at one site participated. RESULTS: Paired t-tests and percent change demonstrated significant decreases in compassion satisfaction (44.5 vs. 42.1, p = 0.04) and secondary traumatic stress score (18.5 vs. 13.3, p = 0.0001) and a significant increase in burnout score (17.6 vs. 20.5, p = 0.03) from baseline to follow up. Employee turnover slightly decreased from baseline to follow-up. CONCLUSIONS: In this pilot study, hospice IDT members had low levels of well-being at baseline that worsened over 3-months indicating a higher potential risk for burnout. Moreover, given the COVID-19 pandemic, this may be an ominous sign of what lies ahead for hospice providers regarding turnover, leading to significant long-term staffing problems in the field. If these results hold true in a larger sample, it could necessitate developing and testing further strategies to ensure a healthy and stable workforce.

Findings of Sequential Pilot Trials of Aliviado Dementia Care to Inform an Embedded Pragmatic Clinical Trial.

BACKGROUND AND OBJECTIVES: Many investigators of Alzheimer's disease and related dementias (AD/ADRD) are unfamiliar with the embedded pragmatic clinical trials (ePCTs) and the indispensable pilot phase preceding ePCTs. This paper provides a much-needed example for such a pilot phase and discusses implementation barriers and additional infrastructure and implementation strategies developed in preparation for a nationwide AD/ADRD ePCT. RESEARCH DESIGN AND METHODS: Two pilot trials were conducted in 2 hospices sequentially to refine and test Aliviado Dementia Care-Hospice Edition, a complex quality improvement intervention for advanced dementia symptom management. Readiness for the subsequent full-scale ePCT was assessed by three milestones: ≥80% training completion rate ("feasibility"), ≥80% posttraining survey respondents indicating intention for practice changes ("applicability"), and at least 1 Aliviado care plan/assessment instrument administered in ≥75% of dementia patients admitted to home hospice within 1-month posttraining ("fidelity"). RESULTS: Participants included 72 interdisciplinary team members and 11 patients with AD/ADRD across the pilots. Feasibility, applicability, and fidelity outcomes (92%, 93%, and 100%, respectively) all surpassed the preestablished milestones (80%, 80%, and 75%). Main implementation challenges were related to hospice staff turnover, integration of the Aliviado toolbox materials within the electronic health records, and hospices' limited research experience and infrastructure. DISCUSSION AND IMPLICATIONS: This pilot phase demonstrated feasibility, applicability, and fidelity required to proceed to the full-scale ePCT. Our study findings and discussions of additional infrastructure and implementation strategies developed following the pilot phase can inform researchers and clinicians interested in conducting AD/ADRD-related pilot studies for ePTCs or quality improvement initiatives. CLINICAL TRIALS REGISTRATION NUMBER: NCT03681119.

Aliviado Mobile App for Hospice Providers: A Usability Study.

CONTEXT: Evaluation of usability and mobile health content is critical for ensuring effective implementation of technology utilizing interventions tailored to the needs of hospice care providers for people living with dementia in community-based settings. OBJECTIVES: To evaluate the usability, content, and "readiness to launch" of the Aliviado mobile health app for interdisciplinary team members participating in the Hospice Advanced Dementia Symptom Management and Quality of Life. METHODS: Usability of the Aliviado app was assessed in 86 respondents with an adapted IBM Computer Usability Satisfaction Questionnaire following Hospice Advanced Dementia Symptom Management and Quality of Life training and implementation of the mobile app. RESULTS: More than half of users receiving training employed the mobile app in practice. Users reported use as: Daily-6.3%, Weekly-39.6%, monthly-54.2%. The highest measured attributes were usefulness, value, and effectiveness. Over 90% deemed the app "ready to launch" with no or minimal problems. CONCLUSION: This study shows that a newly-developed mobile app is usable and can be successfully adopted for care of people living with dementia.

Efficacy and Safety of Postmenopausal Osteoporosis Treatments: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.

Although a range of pharmacological interventions is available, it remains uncertain which treatment for osteoporosis is more effective. This network meta-analysis study aimed to compare different drug efficacy and safety in randomized controlled trials (RCTs) for the treatment of postmenopausal osteoporosis. PubMed, EMBASE, MEDLINE, Clinicaltrial.gov, Cochrane library, Google scholar were searched up to 31 October 2020. Randomized placebo-controlled trials that reported measures of bone mineral density (BMD) percentage change and/or numbers of adverse events of postmenopausal osteoporosis patients were included. Network meta-analysis was conducted using frequentist approach. Ninety-four RCTs comprising 15,776 postmenopausal osteoporosis females were included in the network meta-analysis. Compared with placebo, most interventions showed increase in BMD change. According to surfaces under the cumulative ranking curves (SUCRAs), strontium ranelate, fluoride, and hormone replacement therapy were most effective in increasing total hip, lumbar spine, and distal radius BMD, respectively. Parathyroid hormone (PTH) was most effective in preventing new hip fracture. When taking into account all anatomic sites, bisphosphonate (BP), monoclonal antibody (mAb), and fluoride have a balanced efficacy in increasing BMD at all sites. Considering both the effectiveness of increasing BMD and preventing hip fracture, mAb, BP, and PTH are more favorable among all interventions. The treatment effects of different medications on BMD percentage change are anatomic site-dependent. After weighing anti-osteoporosis treatment efficacy against risk of complications, BP and mAb are the more favorable interventions to increase BMD at all sites and reduce the risks of hip fracture and death.

Advance Care Planning, Palliative Care, and End-of-life Care Interventions for Racial and Ethnic Underrepresented Groups: A Systematic Review.

CONTEXT: Persons from underrepresented racial and ethnic groups experience disparities in access to and quality of palliative and end-of-life care. OBJECTIVES: To summarize and evaluate existing palliative and end-of-life care interventions that aim to improve outcomes for racial and ethnic underrepresented populations in the United States. METHODS: We conducted a systematic review of the literature in the English language from four databases through January 2020. Peer-reviewed studies that implemented interventions on palliative care, advance care planning, or end-of-life care were considered eligible. Data were extracted from 16 articles using pre-specified inclusion and exclusion criteria. Quality was appraised using the modified Downs and Black tool for assessing risk of bias in quantitative studies. RESULTS: Five studies were randomized controlled trials, and the remainder were quasi-experiments. Six studies targeted Latino/Hispanic Americans, five African Americans, and five, Asian or Pacific Islander Americans. The two randomized control trials reviewed and rated "very high" quality, found educational interventions to have significant positive effects on advance care planning and advance directive completion and engagement for underrepresented racial or ethnic groups. CONCLUSION: The effectiveness of advance care planning, end-of-life, and palliative care interventions in improving outcomes for underrepresented racial and ethnic populations remains uncertain. Randomized controlled trials and educational interventions indicate that interventions targeting underrepresented groups can have significant and positive effects on advance directives and/or advance care planning-related outcomes. More high-quality intervention studies that address racial and ethnic health disparities in palliative care are needed, particularly those that address systemic racism and other complex multilevel factors that influence disparities in health.

Promoting Problem Solving About Health Management: A Mixed-Methods Pilot Evaluation of a Digital Health Intervention for Older Adults With Pre-Frailty and Frailty.

Background: There is a need for interventions to promote health management of older adults with pre-frailty and frailty. Technology poses promising solutions, but questions exist about effective delivery. Objectives: We present the results of a mixed-methods pilot evaluation of Virtual Online Communities for Older Adults (VOCALE), an 8-week intervention conducted in the northwestern United States, in which participants shared health-related experiences and applied problem solving skills in a Facebook group. Methods: We performed a mixed-methods process evaluation, integrating quantitative and qualitative data, to characterize the intervention and its effects. We focus on four areas: health-related measures (health literacy and self-efficacy), participation, problem solving skills enacted, and subjective feedback. Results: Eight older adults with pre-frailty and frailty (age = 82.7 ± 6.6 years) completed the study. There was an upward trend in health literacy and health self-efficacy post-intervention. Participants posted at least two times per week. Content analysis of 210 posts showed participants were able to apply the problem solving skills taught, and exit interviews showed participants' increased awareness of the need to manage health, and enjoyment in learning about others. Conclusion: This mixed-methods evaluation provides insight into feasibility and design considerations for online interventions to promote health management among vulnerable older adults.

Older adults' personal health information management: The role and perspective of various healthcare providers.

The management of personal health information (PHI) by older adults (OAs) takes place within a socio-technical context and requires the support of various stakeholders, including healthcare providers. This study investigates provider roles in supporting OA personal health information management (PHIM), barriers they face, and related design implications for health information technology (HIT). We interviewed 27 providers serving OAs in Seattle, WA. Providers support OA PHIM through medication management, interpreting HI, and providing resources. Barriers to OA PHIM described by providers include (1) challenges with communication between OAs, providers, and caregivers, (2) limited time and resources, and (3) limitations of tools such as secure messaging. Considering these barriers, provider roles, and the socio-technical context for HIT implementation, we recommend the design of HIT that facilitates communication across multiple provider types, integrates caregivers and patient-generated data, supports understanding of OA home environments, and offers credible health resources designed for OAs.

Evaluation of pharmaceutical pictograms by older "turkers": A cross-sectional crowdsourced study.

BACKGROUND: Well-designed pharmaceutical pictograms may improve patients' understanding of medication instructions. However, the iterative participatory design process required to produce effective pictograms can be costly in terms of money, time, and effort. Crowdsourcing has been applied to bring down the costs of the participatory design process, but the feasibility of using this approach with older adults remains largely unknown. OBJECTIVES: To evaluate the feasibility of using Amazon Mechanical Turk (MTurk), a leading crowdsourcing platform, for participatory pictogram evaluation with older adults (55+) and to evaluate the comprehensibility of USP pictogram, identify common misinterpretations, and explore the relationship between selected participant characteristics and their pictogram comprehension performance. METHODS: 108 older adults (56.5% female; 57-80 years of age) were recruited via MTurk to complete a cross-sectional online survey that asked them to interpret 15 USP pictograms and answer questions about their health and health literacy. RESULTS: It was feasible to perform pictogram evaluation with older adults on MTurk, as shown by ease of recruitment and high data quality. Of the 15 pictograms tested, seven (46.7%) resulted in a comprehensibility score below the threshold established by the American National Standards Institute (ANSI), eight (53.3%) elicited common misinterpretations, and two (13.3%) resulted in ANSI-defined "critical confusion." Age (P = 0.04) was associated with pictogram comprehension performance. Certain issues with the pictogram subtitles emerged during the evaluation. CONCLUSIONS: MTurk is a feasible platform for participatory pictogram evaluation, even for a sole target of older adults. The USP should develop a pictogram user manual, redesign pictograms confusing to older adults, and establish policies and procedures to ensure that pictogram subtitles conform to evidence-based best practices and standards for patient-centered written drug information.

The Impact of Aliviado Dementia Care-Hospice Edition Training Program on Hospice Staff's Dementia Symptom Knowledge.

CONTEXT: As the aging population grows, the incidence of dementia continues to increase substantially. However, the lack of a significant geriatric health care workforce as well as little dementia training among generalist health care workers leads to suboptimal care for persons living with dementia (PLWD). In particular, few evidence-based interventions exist to improve the quality of dementia care among hospice interdisciplinary teams caring for PLWD. Aliviado Dementia Care-Hospice Edition is a quality assurance and performance improvement program that includes training, mentoring, and workflow enhancements, which aims to improve quality of hospice care provided to PLWD and their caregivers. OBJECTIVES: To determine the effectiveness of the Aliviado Dementia Care program in increasing dementia symptom knowledge of hospice interdisciplinary team members. METHODS: About 53 hospice team members from two diverse hospices, consisting of social workers, chaplains, physicians, and nurses, participated in the Aliviado training program. In this prepost trial, 39 participants completed the Dementia Symptom Knowledge Assessment before and after completion of the program. RESULTS: Paired t-tests showed significant differences before and after Aliviado training in depression knowledge and confidence, as well as behavioral and psychological symptoms of dementia (BPSD) knowledge, confidence, and interventions. The greatest percent change increases were in depression (15.2%) and BPSD (13.3%) confidence as well as BPSD interventions (18.4%). Qualitative feedback consistently emphasized that trainees could now effectively assess their patients for specific symptoms such as pain and agitation. CONCLUSION: Aliviado is an evidence-based system-level intervention that improves clinical knowledge, attitudes, and confidence in treating PLWD enrolled in hospice.

Protocol for an embedded pragmatic clinical trial to test the effectiveness of Aliviado Dementia Care in improving quality of life for persons living with dementia and their informal caregivers.

INTRODUCTION: Persons living with Alzheimer's disease and related dementias (ADRD) frequently experience pain and behavioral and psychological symptoms of dementia (BPSD) which decrease quality of life (QOL) and influence caregiver burden. Home healthcare professionals however may underrecognize or lack the ability to manage BPSD. INTERVENTION: This protocol describes an ADRD palliative quality assurance performance improvement program for home healthcare, Aliviado Dementia Care-Home Health Edition. It includes training, mentoring, and a toolbox containing intervention strategies. METHODS: This embedded pragmatic clinical trial will utilize a multi-site, cluster randomized control design. Recruitment will occur from three home healthcare agencies located in New Jersey, Utah, and Florida. At each agency, care teams will be randomized as clusters and assigned to either the Aliviado Dementia Care program or usual care. We plan to enroll 345 persons living with ADRD and their informal caregiver dyads. The primary outcome will be to measure QOL in both the person living with ADRD and their informal caregiver, and emergency department visits and hospital admissions. Secondary outcomes in the person living with ADRD will include the examination of pain, BPSD, antipsychotic and analgesic use. Secondary outcomes in caregivers include burden, depressive symptoms, functional health and wellbeing, and healthcare utilization. CONCLUSION: This study will be the first large-scale embedded pragmatic clinical trial in home healthcare focused on care quality and outcomes in addressing QOL in ADRD. If proven successful, the intervention can then be disseminated to agencies throughout the country to improve the quality of care for this vulnerable, underserved population. TRIAL REGISTRATION: Clinical Trials.gov: NCT03255967.