Communication Openings: A Novel Approach for Serious Illness Communication in Homecare.

Serious illness communication in homecare about hospice and/or palliative care transitions is lacking due to clinical culture. The purpose of the current study was to understand communication openings using COMFORT™, a palliative care communication model used to train nurses. Qualitative, focus group interviews with 31 homecare nurses were conducted. Data were transcribed verbatim and thematically analyzed using NVivo software, followed by hand-sorting. Four themes for communication openings for initiating discussions about potential hospice and/or palliative care transitions were identified: Organizational Openings (homecare appropriateness, eligibility requirements, and staffing); Patient Openings (patient physical decline, psychosocial changes, safety concerns, and denying/stopping care); Caregiver Openings (caregiver physical changes and patient readiness); and Nurse Openings (need for hospice, checking for prognosis understanding, increasing interprofessional care needs, and providing end-of-life care). This study extends the concept of communication openings in the COMFORT model. Further development of communication openings as part of COMFORT communication is needed in educational and intervention research. [Journal of Gerontological Nursing, 49(11), 33-41.].

Improving Dementia Caregiver Activation With a Brief Communication Module.

Objective: Palliative care often plays a pivotal role in supporting informal caregivers of persons living with dementia who experience a lack of continuity in care. Dementia caregiver activation, the caregiver's willingness and ability to navigate care needs, requires communication skills for developing relationships with healthcare providers. Communication activation is important because caregivers facilitate physician and patient information exchange. This study aimed to explore changes in communication outcomes (attitude, knowledge, and skills) and impact on caregiver communication activation (confidence, self-report) following completion of a brief communication module. Methods: A 15-minute asynchronous online module was developed to provide caregivers with communication skills for working with doctors and nurses. Caregivers completed pre/post module measures of communication outcomes, a vignette for applying communication strategies and were interviewed within a week of module completion to assess self-reported communication activation. Module acceptability was also evaluated. Results: Communication knowledge (P < .01) significantly increased and nearly all participants (99%) demonstrated use of module-specific communication skills after completing the module. While not statistically significant, caregiver attitudes were in the expected direction. Caregiver self-reported communication confidence (P < .001) significantly increased and 84% of caregivers described communication activation at post-module. Caregivers (83%) were likely to recommend the module. Conclusions: The brief communication module for dementia caregivers in this project offers an online resource with low time-burden that results in caregiver communication activation. Future testing in the clinical setting will increase understanding of its efficacy and integration and could be a viable resource for palliative care providers.

A clinical classification framework for identifying persons with high social and medical needs: The COMPLEXedex-SDH.

BACKGROUND: First-generation algorithms resulted in high-cost features as a representation of need but unintentionally introduced systemic bias based on prior ability to access care. Improved precision health approaches are needed to reduce bias and improve health equity. PURPOSE: To integrate nursing expertise into a clinical definition of high-need cases and develop a clinical classification algorithm for implementing nursing interventions. METHODS: Two-phase retrospective, descriptive cohort study using 2019 data to build the algorithm (n = 19,20,848) and 2021 data to test it in adults ≥18 years old (n = 15,99,176). DISCUSSION: The COMPLEXedex-SDH algorithm identified the following populations: cross-cohort needs (10.9%); high-need persons (cross-cohort needs and other social determinants) (17.7%); suboptimal health care utilization for persons with medical complexity (13.8%); high need persons with suboptimal health care utilization (6.2%). CONCLUSION: The COMPLEXedex-SDH enables the identification of high-need cases and value-based utilization into actionable cohorts to prioritize outreach calls to improve health equity and outcomes.

Identifying High-Need Primary Care Patients Using Nursing Knowledge and Machine Learning Methods.

BACKGROUND: Patient cohorts generated by machine learning can be enhanced with clinical knowledge to increase translational value and provide a practical approach to patient segmentation based on a mix of medical, behavioral, and social factors. OBJECTIVES: This study aimed to generate a pragmatic example of how machine learning could be used to quickly and meaningfully cohort patients using unsupervised classification methods. Additionally, to demonstrate increased translational value of machine learning models through the integration of nursing knowledge. METHODS: A primary care practice dataset (N = 3,438) of high-need patients defined by practice criteria was parsed to a subset population of patients with diabetes (n = 1233). Three expert nurses selected variables for k-means cluster analysis using knowledge of critical factors for care coordination. Nursing knowledge was again applied to describe the psychosocial phenotypes in four prominent clusters, aligned with social and medical care plans. RESULTS: Four distinct clusters interpreted and mapped to psychosocial need profiles, allowing for immediate translation to clinical practice through the creation of actionable social and medical care plans. (1) A large cluster of racially diverse female, non-English speakers with low medical complexity, and history of childhood illness; (2) a large cluster of English speakers with significant comorbidities (obesity and respiratory disease); (3) a small cluster of males with substance use disorder and significant comorbidities (mental health, liver and cardiovascular disease) who frequently visit the hospital; and (4) a moderate cluster of older, racially diverse patients with renal failure. CONCLUSION: This manuscript provides a practical method for analysis of primary care practice data using machine learning in tandem with expert clinical knowledge.

The 2023-2026 Hospice and Palliative Nurses Association Research Agenda.

The Hospice and Palliative Nursing Association established the triannual research agenda to ( a ) provide focus for researchers to conduct meaningful scientific and quality improvement initiatives and inform evidence-based practice, ( b ) guide organizational funding, and ( c ) illustrate to other stakeholders the importance of nursing research foci. HPNA Research Agendas are developed to give direction for future research to continue advancing expert care in serious illness and ensure equitable delivery of hospice and palliative care.

Don't Throw the Baby Out With the Bathwater: Meta-Analysis of Advance Care Planning and End-of-life Cancer Care.

CONTEXT: There is ongoing discourse about the impact of advance care planning (ACP) on end-of-life (EOL) care. No meta-analysis exists to clarify ACP's impact on patients with cancer. OBJECTIVE: To investigate the association between, and moderators of, ACP and aggressive vs. comfort-focused EOL care outcomes among patients with cancer. METHODS: Five databases were searched for peer-reviewed observational/experimental ACP-specific studies that were published between 1990-2022 that focused on samples of patients with cancer. Odds ratios were pooled to estimate overall effects using inverse variance weighting. RESULTS: Of 8,673 articles, 21 met criteria, representing 33,541 participants and 68 effect sizes (54 aggressive, 14 comfort-focused). ACP was associated with significantly lower odds of chemotherapy, intensive care, hospital admissions, hospice use fewer than seven days, hospital death, and aggressive care composite measures. ACP was associated with 1.51 times greater odds of do-not-resuscitate orders. Other outcomes-cardiopulmonary resuscitation, emergency department admissions, mechanical ventilation, and hospice use-were not impacted. Tests of moderation revealed that the communication components of ACP produced greater reductions in the odds of hospital admissions compared to other components of ACP (e.g., documents); and, observational studies, not experimental, produced greater odds of hospice use. CONCLUSION: This meta-analysis demonstrated mixed evidence of the association between ACP and EOL cancer care, where tests of moderation suggested that the communication components of ACP carry more weight in influencing outcomes. Further disease-specific efforts to clarify models and components of ACP that work and matter to patients and caregivers will advance the field.

Exploring Differences in Caregiver Communication in Serious Illness.

Background: Demographic factors, such as disease context and family relationships, are communication mediators and moderators; however, little is known about how understanding these factors can improve caregiver communication with providers. Recognition of communication differences among caregivers may aid the development of approaches to improve serious illness communication. Objective: To explore whether caregiver communication differs by disease context (cancer vs. dementia) and caregiver communication type (Manager, Carrier, Partner, and Lone). Caregiver communication type is based on communication patterns between the care recipient and caregiver. Design and Measurements: Caregivers of persons with cancer and/or dementia were surveyed from a U.S. national research registry website. Measures of caregiver communication included information needs, communication confidence, perception of provider understanding of the caregiver, perceived frequency of caregiver assessment, and caregiver stress. Analysis of variance (ANOVA) determined significant differences between caregiver communication (p < 0.05) based on disease context and caregiver communication type. Results: Cancer caregivers reported higher unrecognized-demanded information states (i.e., not recognizing information was needed), more communication confidence, and more frequent caregiver assessment compared to dementia caregivers. Among caregiver communication types, Manager caregiver types were more confident communicating than other caregiver types and perceived greater understanding by providers than the Lone caregiver type. Manager caregivers reported significantly less stress than other caregiver communication types. Conclusions: Understanding disease context and caregiver communication type may help improve caregiver communication with health care providers.

Predicting Hospice Transitions in Dementia Caregiving Dyads: An Exploratory Machine Learning Approach.

Background and Objectives: Hospice programs assist people with serious illness and their caregivers with aging in place, avoiding unnecessary hospitalizations, and remaining at home through the end-of-life. While evidence is emerging of the myriad of factors influencing end-of-life care transitions among persons living with dementia, current research is primarily cross- sectional and does not account for the effect that changes over time have on hospice care uptake, access, and equity within dyads. Research Design and Methods: Secondary data analysis linking the National Health and Aging Trends Study to the National Study of Caregiving investigating important social determinants of health and quality-of-life factors of persons living with dementia and their primary caregivers (n = 117) on hospice utilization over 3 years (2015-2018). We employ cutting-edge machine learning approaches (correlation matrix analysis, principal component analysis, random forest [RF], and information gain ratio [IGR]). Results: IGR indicators of hospice use include persons living with dementia having diabetes, a regular physician, a good memory rating, not relying on food stamps, not having chewing or swallowing problems, and whether health prevents them from enjoying life (accuracy = 0.685; sensitivity = 0.824; specificity = 0.537; area under the curve (AUC) = 0.743). RF indicates primary caregivers' age, and the person living with dementia's income, census division, number of days help provided by caregiver per month, and whether health prevents them from enjoying life predicts hospice use (accuracy = 0.624; sensitivity = 0.713; specificity = 0.557; AUC = 0.703). Discussion and Implications: Our exploratory models create a starting point for the future development of precision health approaches that may be integrated into learning health systems that prompt providers with actionable information about who may benefit from discussions around serious illness goals-for-care. Future work is necessary to investigate those not considered in this study-that is, persons living with dementia who do not use hospice care so additional insights can be gathered around barriers to care.

Dementia caregiver burdens predict overnight hospitalization and hospice utilization.

OBJECTIVES: To determine sociodemographics and caregiver burdens associated with overnight hospitalization, hospice utilization, and hospitalization frequency among persons with dementia (PWD). METHODS: Cross-sectional analysis of PWD (n = 899) of the National Health and Aging Trends Study linked to the National Study of Caregiving. Logistic and proportional odds regression determined the effects of caregiver burdens on overnight hospitalization, hospice use, and hospitalization frequency. Differences between PWD alive not-alive groups were compared on overnight hospitalization and frequency. RESULTS: Alive PWD (n = 804) were 2.36 times more likely to have an overnight hospital stay (p = 0.004) and 1.96 times more likely to have multiple hospitalizations when caregivers found it physically difficult to provide care (p = 0.011). Decedents aged 65-74 (n = 95) were 4.55 times more likely to experience overnight hospitalizations than 85+, hospitalizations were more frequent (odds ratio [OR] = 4.84), and there was a significant difference between PWD alive/not alive groups (p = 0.035). Decedents were 5.60 times more likely to experience an overnight hospitalization when their caregivers had financial difficulty, hospitalizations were more frequent when caregivers had too much to handle (OR = 8.44) and/or no time for themselves (OR = 10.67). When caregivers had no time for themselves, a significant difference between alive/not alive groups (p = 0.018) was detected in hospitalization frequency. PWD whose caregivers had emotional difficulty helping were 5.89 times more likely to utilize hospice than caregivers who did not report emotional difficulty. SIGNIFICANCE OF RESULTS: Care transitions among PWD at the end of life are impacted by the circumstances and experiences of their caregivers. Subjective caregiver burdens represent potentially modifiable risks for undesired care transitions and opportunities for promoting hospice use. Future work is warranted to identify and address these issues as they occur.

TILE-12 index: an interpretable instrument for identifying older adults at risk for transitions in living environment within the next 12-months.

Few evidence-based tools exist to support identification of older community dwelling adults at risk for unwanted transitions in living environment leading to missed opportunities to modify care plans to support aging-in-place and/or establish end-of-life care goals. An interpretable and actionable tool for assessing a person's risk of experiencing a transition is introduced. Logistic regression analysis of 14,772 transition opportunities (i.e. 12-month periods) for 4,431 respondents to the National Health and Aging Trends Study (NHATS) rounds 1-7. Results were visualized in a nomogram. Unmarried males of increasing age with chronic disease, greater functional dependence, overnight hospitalizations, not living in a single-family home, and limited social network, have elevated risk of experiencing a transition in living environment in a 12-month period. Homecare nurses are uniquely qualified to identify social determinants of health and can use this evidence-based tool to identify individuals who may benefit from transitional care assistance.

Exploring Web-Based Twitter Conversations Surrounding National Healthcare Decisions Day and Advance Care Planning From a Sociocultural Perspective: Computational Mixed Methods Analysis.

BACKGROUND: Within the cultures and societies of the United States, topics related to death and dying continue to be taboo, and as a result, opportunities for presence and engagement during the end of life, which could lead to a good death, are avoided. Several efforts have been made to help people engage in advance care planning (ACP) conversations, including completing advance care directives so that they may express their goals of care if they become too sick to communicate their wishes. A major effort in the United States toward encouraging such challenging discussions is the annual celebration of the National Healthcare Decisions Day. OBJECTIVE: This study aimed to explore ACP from a sociocultural perspective by using Twitter as a communication tool. METHODS: All publicly available tweets published between August 1, 2020, and July 30, 2021 (N=9713) were collected and analyzed using the computational mixed methods Analysis of Topic Model Network approach. RESULTS: The results revealed that conversations driven primarily by laypersons (7107/7410, 95.91% of tweets originated from unverified accounts) surrounded the following three major themes: importance and promotion, surrounding language, and systemic issues. CONCLUSIONS: On the basis of the results, we argue that there is a need for awareness of the barriers that people may face when engaging in ACP conversations, including systemic barriers, literacy levels, misinformation, policies (including Medicare reimbursements), and trust among health care professionals, in the United States. This is incredibly important for clinicians and scholars worldwide to be aware of as we strive to re-envision ACP, so that people are more comfortable engaging in ACP conversations. In terms of the content of tweets, we argue that there is a chasm between the biomedical and biopsychosocial elements of ACP, including patient narratives. If used properly, Twitter conversations and National Health Care Decision Day hashtags could be harnessed to serve as a connecting point among organizations, physicians, patients, and family members to lay the groundwork for the trajectory toward a good death.

Development of a Longitudinal Dataset of Persons With Dementia and Their Caregivers Through End-of-Life: A Statistical Analysis System Algorithm for Joining National Health and Aging Trends Study/National Study of Caregiving.

Background: Alzheimer's disease and related dementias (AD/ADRD) are terminal conditions impacting families and caregivers, particularly at end-of-life. Longitudinal, secondary data analyses present opportunities for insight into dementia caregiving and decision-making over time; however, joining complex datasets and preparing them for analysis poses many challenges. Objectives: To describe an approach to linking national survey data of older adults with their primary caregivers to build a prospective, longitudinal dataset, and to share the Statistical Analysis System (SAS) coding statement algorithms with other researchers. Methods: The National Health and Aging Trends Study (NHATS) and National Study of Caregiving (NSOC) are joined using a series of algorithms based on conceptual and operational definitions of dementia, primary caregivers, and the occurrence of death. A series of SAS algorithms resulting in the final longitudinal dataset was created. Results: NHATS/NSOC participants were linked using three preliminary data files (n = 12 427) and one final data join (n = 3305) over nine rounds of data collection. Presence of dementia was defined based on the indicator in the year preceding the last month-of-life (LML) interview. Primary caregivers were defined as the person providing the most frequent care over time. Additional flag variables (LML interview, dementia classification, and cohort (2011 vs 2015)) were created. The SAS algorithms are presented herein. Discussion: The SAS coding statement algorithms provide an opportunity to conduct longitudinal analysis of care for both members of the dyad in the context of dementia and end-of-life. Future research using the proposed dataset can further explore care and caregiving in these populations.

COMFORT communication in the ICU: Pilot test of a nurse-led communication intervention for surrogates.

AIM: This study was designed to investigate the feasibility, acceptability, and preliminary efficacy of a nurse-led communication intervention among surrogates in the intensive care unit (ICU) guided by the COMFORT (Connect; Options; Making meaning; Family caregivers; Openings; Relating; Team) communication model. BACKGROUND: As frontline communicators, nurses experience communication difficulties with surrogates who face complex informational and emotional barriers when making decisions for critically ill patients in the ICU. However, research on effective nurse communication focusing on both curative and end-of-life (EOL) care is lacking in the literature. DESIGN: A single-centre two-group pretest-posttest quasi-experiment. METHOD: The total sample included 41 surrogates of adult ventilated patients. Twenty participants were allocated to the intervention group who received a daily 20-min telephone call with content based on the COMFORT communication model. Twenty-one participants comprised the control group who received usual care. Participants completed a questionnaire before and after the study measuring satisfaction, anxiety and depression, decisional conflict, and quality of communication. The Transparent Reporting of Evaluations with Nonrandomized Designs (TREND) checklist was followed for nonrandomised controlled trials. RESULT: The intervention was feasible, with 19 of 20 surrogates completing the follow-up surveys, and 48 telephone conversations completed (48% of the planned phone calls). Surrogates' satisfaction was higher in the intervention group than in the control group after adjusting for the selected covariates (25.43 and 24.15, respectively; p = .512). Preliminary efficacy outcomes favouring the intervention included quality of communication with healthcare providers, but not surrogates' perceived depression/anxiety and decisional conflicts. CONCLUSION: Implementation of the intervention is feasible, acceptable, and favourable among surrogates to improve quality of communication with healthcare providers in the ICU. Further research is needed to determine whether the intervention could be implemented by nurses to improve surrogates' outcomes in other ICUs.

Promoting Evidence-Based Practice in Clinical Education at a Hospice Designated Education Unit.

Integration of palliative care principles into undergraduate nursing curriculum is essential to prepare students to provide supportive care services across the continuum of care for individuals with serious illness. Baccalaureate nursing curricula emphasize development and application of evidence-based practice (EBP); however, development of nursing skills often overshadows teaching students how to deliver care or facilitate practice changes based on evidence in clinical education. Problems revealed in clinical practice are a valuable tool for improving student use and appreciation of EBP in clinical settings. The EBP project presented in this article provides a process to promote palliative and end-of-life EBP in clinical education. This project highlights the proposed American Association of Colleges of Nursing hospice/palliative/supportive care sphere of care in a hospice dedicated education unit following The Seven Steps of EBP. Students participating in the project developed core skills to search, appraise, and translate evidence and the ability to lead EBP projects guided by the dedicated education unit model. Dedicated education units serve as ideal clinical education sites to develop student EBP competencies and support transition to practice through collaboration with practice partner stakeholders.

The Experiences of Family Members of Ventilated COVID-19 Patients in the Intensive Care Unit: A Qualitative Study.

BACKGROUND: Visitor restrictions caused challenges for family members when their loved ones had coronavirus disease (COVID-19) and were ventilated. Limited studies have reported on family members' experiences and support needs. AIM: To explore the experiences and support needs of family members of ventilated COVID-19 patients in the intensive care unit (ICU). DESIGN: Exploratory, qualitative design, using in-depth individual telephone interviews, and analyzed using thematic analysis. SETTING/PARTICIPANTS: Ten family members of adult COVID-19 patients in the ICU. RESULT: Seven key themes represented family members' experiences: (a) reactions to the COVID-19 diagnosis, (b) COVID-19 as a destabilizing force on the family unit, (c) COVID-19's effects on bereavement outcomes, (d) desperately seeking information, (e) family member needs, (f) conflicting feelings about video calls, and (g) appreciation of care. Family members' feelings about the patient's diagnosis and how the virus was contracted exacerbated their stress and anxiety. They struggled to feel informed about care that they could not witness and had difficulty understanding information. Family members reported that video calls were unhelpful. While these experiences made them question the quality of care, they expressed their appreciation of the frontline healthcare providers taking care of their loved ones. CONCLUSION: The stress and uncertainty of family members of critically ill patients with COVID-19 were influenced by their inability to feel connected to the patient and informed about care. Healthcare providers should assess each individual family's burden and preferences, and this should include establishing structured, timely, and consistent communication regarding patient care during the pandemic including early referral to palliative care.

Homecare nurses guide goals for care and care transitions in serious illness: A grounded theory of relationship-based care.

AIMS: To identify the process that homecare nurses use when recognizing serious illness, engaging patients and families in goals-for-care discussions and guiding transitions to comfort-focused care. DESIGN: Constructivist grounded theory. METHODS: Semi-structured focus group interviews of 31 homecare Registered Nurses were recorded and transcribed (June-August 2019). Line-by-line coding using the constant comparative method until saturation was achieved and a grounded theory was identified. Credibility, transferability, and confirmability establish study rigor. RESULTS: A grounded theory of relationship-based care. Nurses cogitate and act when recognizing serious illness. They have difficult conversations and support care transitions with wisdom and knowing, by identifying changes in illness trajectories and being informed and alert to diminishing quality of life. Nurses are skilled at engaging patients, families, and the team and accommodate care in the home for as long as possible, while manoeuvring through complex systems of care; ultimately relinquishing and guiding care to other providers and settings. However, nurses feel inadequately prepared and frustrated with a fragmented healthcare system and lack of collaboration among the team. CONCLUSION: This study identifies a grounded theory to support clinical decision-making and position homecare nurses as leaders in guiding goal care discussions and transitions to comfort-focused care. These findings reinforce the importance of developing health policy that ensures care continuity in serious illness. Further research is needed to improve relationships across care settings and enhance training for the delivery of comfort-focused care in the home as changing needs emerge during serious illness management.

Eliminating the Surprise Question Leaves Home Care Providers With Few Options for Identifying Mortality Risk.

BACKGROUND: Precision health initiatives for end-of-life planning require robust methods for identifying patient risk for decline and mortality. The Outcome and Assessment Information Set (OASIS) surprise question (SQ; M1034 Overall Status) is the primary tool for evaluating risks in homebound older adults. However, the OASIS-D, Released in 2019, eliminates this question. This study examines the prognostic ability of 12- and 24-month mortality risk reflected in the OASIS-SQ and develops an alternative approach for classifying mortality risk to support decision-making in the absence of the OASIS-SQ. DESIGN: Retrospective secondary data analysis. SETTING/PARTICIPANTS: A nationally representative sample of 69 097 OASIS-C assessments (2012) linked to the Master Beneficiary Summary file (2012 and 2013). MEASUREMENTS: Survival analysis, k-means clustering, and Cohen κ coefficient with Z test. RESULTS: The OASIS-SQ predicts mortality (35% at 12 and 45% at 24 months; P < .001). Cluster analysis identified 2 risk groups: OASIS activity of daily living "ADL total scores" >15 = (lower risk) and ≤15 = (higher risk) for 24-month mortality. Model agreement is weak for both cluster 1 and cluster 2, the OASIS-SQ κ = 0.20, 95% confidence interval (CI) = .19 to .21, and "alive/not alive" κ = .17, 95% CI = .16 to .18. CONCLUSION: The OASIS-SQ and "ADL total score" are almost equally likely to predict 24-month mortality; therefore, it was reasonable to use the "ADL total score" as a substitute for the OASIS-SQ. Removal of the OASIS-SQ leaves home care providers with few clear options for risk screening resulting in missed opportunities to refer to palliative or hospice services.

Providing Palliative Care: Oncology Nurses' Perceptions of Their Self-Reported Abilities.

BACKGROUND: Oncology nurses are pivotal in the provision of primary palliative care. However, nurses working in oncology settings, where the goal is often curative, may lack knowledge about and comfort in providing palliative care. OBJECTIVES: The purpose of this study is to determine how oncology nurses perceive their ability to provide palliative care services to patients and their families. METHODS: Using Benner's theory of skill acquisition as a basis for self-evaluation, this cross-sectional, descriptive pilot study surveyed oncology nurses. FINDINGS: All participants reported ranges from capable to very capable in ability to provide precepts of palliative care. Results showed a small but statistically significant association between years of experience and perceived ability to honor patient and family preferences, provide patient and family support, appreciate demands placed on families, and provide supportive services to caregivers.

HPNA 2019-2022 Research Agenda: Development and Rationale.

Building on the strong work of previous research agendas (2009-2012, 2012-2015, 2015-2018), the Hospice and Palliative Nurses Association Research Advisory Council developed the 2019-2022 Research Agenda in consultation with Hospice and Palliative Nurses Association (HPNA) membership and assessment of major trends in palliative nursing. The HPNA Research Advisory Council identified 5 priority areas and asked subject experts in each area to summarize the state of the science, identify critical gaps, and provide recommendations for future research. This document expands the executive summary published on the HPNA website (www.advancingexpertcare.org/hpna/) and provides supporting evidence for the 2019-2022 recommendations. The 5 priority areas are as follows: (1) pediatric hospice and palliative nursing research; (2) family caregiving; (3) interprofessional education and collaborative practice; (4) big data science, precision health, and nursing informatics; and (5) implementation science.