Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study.

BACKGROUND: Numerous studies have suggested that the relationship between cardiovascular disease (CVD) risk and the usage of mobile health (mHealth) technology may vary depending on the total number of CVD risk factors present. However, whether higher CVD risk is associated with a greater likelihood of engaging in specific mHealth use among US adults is currently unknown. OBJECTIVE: We aim to assess the associations between the composite CVD risk and each component of mHealth use among US adults regardless of whether they have a history of CVD or not. METHODS: This study used cross-sectional data from the 2017 to 2020 Health Information National Trends Survey. The exposure was CVD risk (diabetes, hypertension, smoking, physical inactivity, and overweight or obesity). We defined low, moderate, and high CVD risk as having 0-1, 2-3, and 4-5 CVD risk factors, respectively. The outcome variables of interest were each component of mHealth use, including using mHealth to make health decisions, track health progress, share health information, and discuss health decisions with health providers. We used multivariable logistic regression models to examine the association between CVD risk and mHealth use adjusted for demographic factors. RESULTS: We included 10,531 adults, with a mean age of 54 (SD 16.2) years. Among the included participants, 50.2% were men, 65.4% were non-Hispanic White, 41.9% used mHealth to make health decisions, 50.8% used mHealth to track health progress toward a health-related goal, 18.3% used mHealth to share health information with health providers, and 37.7% used mHealth to discuss health decisions with health providers (all are weighted percentages). Adults with moderate CVD risk were more likely to use mHealth to share health information with health providers (adjusted odds ratio 1.49, 95% CI 1.24-1.80) and discuss health decisions with health providers (1.22, 95% CI 1.04-1.44) compared to those with low CVD risk. Similarly, having high CVD risk was associated with higher odds of using mHealth to share health information with health providers (2.61, 95% CI 1.93-3.54) and discuss health decisions with health providers (1.56, 95% CI 1.17-2.10) compared to those with low CVD risk. Upon stratifying by age and gender, we observed age and gender disparities in the relationship between CVD risk and the usage of mHealth to discuss health decisions with health providers. CONCLUSIONS: Adults with a greater number of CVD risk factors were more likely to use mHealth to share health information with health providers and discuss health decisions with health providers. These findings suggest a promising avenue for enhancing health care communication and advancing both primary and secondary prevention efforts related to managing CVD risk factors through the effective usage of mHealth technology.

The Association of Unmet Palliative Care Needs and Physical Frailty With Clinical Outcomes: A Prospective Study of Adults With Heart Failure.

BACKGROUND: People with heart failure, particularly those who are physically frail, experience complex needs that can be addressed by palliative care (PC). However, we have a limited understanding of how the intersection of unmet PC needs and physical frailty contributes to health-related quality of life (HRQOL) and risk for hospitalization or mortality. OBJECTIVE: In this study, we sought to examine the association of unmet PC needs and physical frailty with clinical outcomes (baseline HRQOL and hospitalizations or mortality at 6 months). METHODS: We recruited a convenience sample of community-dwelling persons with heart failure from an urban hospital system who were older than 50 years and hospitalized in the last year. We measured physical frailty using the FRAIL scale (nonfrail, 0-2; frail, 3-5), PC needs using the Integrated Palliative Outcome Scale (range, 0-58; higher scores indicating higher needs), and HRQOL using the Kansas City Cardiomyopathy Questionnaire (range, 0-100; higher scores indicate higher HRQOL). We performed multivariable linear regression to test the relationships between physical frailty, PC needs, and HRQOL, and multivariable logistic regression for associations with all-cause 6-month hospitalization or mortality. We also performed an exploratory analysis of 4 PC needs/frailty groups (high PC needs/frail, high PC needs/nonfrail, low PC needs/frail, low PC needs/nonfrail) with outcomes. RESULTS: In our overall sample (n = 298), mean (SD) age was 68 (9.8) years, 37% were women (n = 108), 28% identified as Black/African American (n = 84), and 65% had heart failure with preserved ejection fraction (n = 194). Mean PC needs score was 19.7, and frail participants (n = 130, 44%) had a significantly higher mean PC needs score than nonfrail participants (P < .001). Those with higher PC needs (Integrated Palliative Care Outcome Scale ≥ 20) had significantly worse HRQOL (P < .001) and increased odds of hospitalization or mortality (odds ratio, 2.5; P < .01) compared with those with lower PC needs, adjusting for covariates. Physically frail participants had significantly worse HRQOL (P < .001) and higher odds of hospitalization or mortality at 6 months (odds ratio, 2.6; P < .01) than nonfrail participants, adjusting for covariates. In an exploratory analysis, physically frail participants with high PC needs had the lowest HRQOL score, with an average score of 28.6 points lower (P < .001) and 4.6 times higher odds of hospitalization or mortality (95% confidence interval, 2.03-10.43; P < .001) than low-needs/nonfrail participants. CONCLUSION: Higher unmet PC needs and physical frailty, separately and in combination, were associated with lower HRQOL and higher odds of hospitalization or mortality. Self-reported PC needs and physical frailty assessment in clinical settings may improve identification of patients at the highest risk for poor HRQOL and hospitalization or mortality amenable to PC intervention.

Living with multimorbidity: A qualitative exploration of shared experiences of patients, family caregivers, and healthcare professionals in managing symptoms in the United States.

AIMS: To elicit experiences of patients, family caregivers, and healthcare professionals in intermediate care units (IMCUs) in an academic medical centre in Baltimore, MD related to the challenges and intricacies of multimorbidity management to inform development of a multimorbidity symptom management toolkit. DESIGN: Experience-based co-design. METHODS: Between July and October 2021, patients aged 55 years and older with multimorbidity admitted to IMCUs at an academic medical centre in Baltimore, Maryland, USA were recruited and interviewed in person. Interdisciplinary healthcare professionals working in the IMCU were interviewed virtually. Participants were asked questions about their role in recognizing and treating symptoms, factors affecting the quality of life, symptom burden and trajectory over time, and strategies that have and have not worked for managing symptoms. An inductive thematic analysis approach was used for analysis. RESULTS: Twenty-three interviews were conducted: 9 patients, 2 family caregivers, and 12 healthcare professionals. Patients' mean age was 67.5 (±6.5) years, over half (n = 5) were Black or Hispanic, and the average number of comorbidities was 3.67. Five major themes that affect symptom management emerged: (1) the patient-provider relationship; (2) open and honest communication; (3) accessibility of resources during hospitalization and at discharge; (4) caregiver support, training, and education; and (5) care coordination and follow-up care. CONCLUSION: Patients, caregivers, and healthcare professionals often have similar goals but different priorities for multimorbidity management. It is imperative to identify shared priorities and target holistic interventions that consider patient and caregiver experiences to improve outcomes. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE AND IMPACT: This paper addresses the paucity of research related to the shared experience of disease trajectory and symptom management for people living with multimorbidity. We found that patients, caregivers, and healthcare professionals often have similar goals but different care and communication priorities. Understanding differing priorities will help better design interventions to support symptom management so people with multimorbidity can have the best possible quality of life. REPORTING METHOD: We have adhered to the Consolidated Criteria for Reporting Qualitative Studies (COREQ) guidelines in our reporting. PATIENT OR PUBLIC CONTRIBUTION: This study has been designed and implemented with patient and public involvement throughout the process, including community advisory board engagement in the project proposal phase and interview guide development, and member checking in the data collection and analysis phases. The method we chose, experience-based co-design, emphasizes the importance of engaging members of a community to act as experts in their own life challenges. In the coming phases of the study, the public will be involved in developing and testing a new intervention, informed by these qualitative interviews and co-design events, to support symptom management for people with multimorbidity.

Advanced practice nursing in Europe-Results from a pan-European survey of 35 countries.

AIM: To report the results of a mapping exercise by the European Federation of Nurses on current advanced practice nursing frameworks and developments across Europe. DESIGN: Online, cross-sectional, questionnaire study. METHODS: An online questionnaire was distributed among 35 national nurses' associations across Europe in March 2021. The questionnaire solicited input on 60 items concerning key features of advanced practice nursing, intending to map existing developments and better understand the current state of advanced practice nursing in Europe. Data analysis used descriptive statistics, including counts and percentages, tabulation; open-text responses were handled with thematic synthesis techniques. RESULTS: The definition, sense-making and operationalization of advanced practice nursing vary across Europe. Important variations were noted in the definition and requirements of advanced practice nursing, resulting in different views on the competencies and scope of practice associated with this role. Importantly, the level of education and training required to qualify and practice as an advanced practice nurse varies across European countries. Furthermore, only 11 countries reported the existence of a national legislation establishing minimum educational requirements. CONCLUSION: Significant variation exists in how countries define advanced practice nursing and how it is regulated at academic and practice levels. More research is needed to clarify whether this variation results from designing models of advanced practice nursing that work in different contexts; and what impact a standardized regulatory framework could have to grow the volume of advanced practice nurses across Europe. IMPACT: The current paper exposes the lack of clarity on the development and implementation of advanced practice nursing across Europe. We found significant variation in the definition, recognition, regulation and education of advanced practice nurses. Our data are essential to policymakers, professional associations and employers to ensure a coordinated and systematic effort in the consistency and ongoing development of advanced practice nurses across Europe. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution applied; the participants were national nurses' associations.

'In our culture, we come when you die': Qualitative descriptive analysis of end-of-life perspectives in a reservation-based community.

AIM: To explore (1) perspectives and attitudes of Native Americans regarding transitions from serious illness to death, and (2) awareness about hospice and palliative care service models in a Great Plains reservation-based community. DESIGN: Qualitative descriptive study. METHODS: Community members and clinicians were invited to participate in a semi-structured focus group or interview by Tribal Advisory Board members. Analysis involved three phases: (1) qualitative descriptive analysis of preliminary themes using the Addressing Palliative Care Disparities conceptual model; (2) a cultural review of the data; and (3) reflexive thematic analysis to synthesize findings. RESULTS: Twenty-six participants engaged in two focus groups (n = 5-6 participants in each) and interviews (n = 15). Four themes were derived from their stories: (1) family connectedness is always priority; (2) end-of-life support is a community-wide effort; (3) everyone must grieve in their own way to heal; and (4) support needs from outside the community. CONCLUSION: Findings highlight cultural considerations spanning the life course. Clinicians, researchers and traditional wisdom keepers and practitioners, particularly those working in rural and/or reservation-based settings, must provide culturally safe care. This must include acknowledging and prioritizing the needs and preferences of Native American patients and the impact on their families and communities. IMPACT AND IMPLICATIONS FOR THE PROFESSION: Leveraging community assets, such as family and social networks, is key for supporting Native American patients with serious illnesses. Additionally, facilitating greater family and caregiver involvement along a patient's care trajectory may be a pathway for easing health care workers' caseloads in reservation-based areas, where resources are limited. REPORTING METHOD: The Consolidated Criteria for Reporting Qualitative Research (COREQ) guideline was used. PATIENT/PUBLIC CONTRIBUTION: The study was ideated based on community insight. Tribal Advisory Board members oversaw all aspects including recruitment, data acquisition, interpretation of findings and tribal data dissemination.

Direct oral anticoagulant use in hospitalized patients with atrial fibrillation across body mass index categories: design and rationale for a retrospective cohort study.

Background: Atrial fibrillation (AF) and obesity are common conditions globally; yet, there remains suboptimal pharmacological management contributing to high rates of hospitalization in patients with AF. The altered pathophysiology of both obese and underweight individuals may influence the pharmacology of medications, including those used to manage AF. This, in turn, increases the risk of adverse events and impacts patient risk for stroke and rehospitalization. Despite the well-established complications of obesity, research investigating the relationship between obesity and AF is scant. Objectives: The primary aim of this study is to describe cardiovascular-related hospitalization in AF patients according to BMI categories. A secondary aim is to describe anticoagulant and antiarrhythmic prescribing practice patterns in patients with AF, according to the BMI category. Design: A retrospective, exploratory descriptive observational cohort study, using routinely collected electronic medical record data from five public hospitals within a single health district, with a population dominantly that is culturally and linguistically diverse, and has a low socioeconomic status. Methods and analysis: Data extraction will include a 24-month period (January 2017 to December 2018) with a 12-month follow-up. All adult (⩾18 years) patients at discharge diagnosed with AF, prescribed any oral anticoagulant and/or oral rate/rhythm control agent, will be eligible for inclusion. Ethics and dissemination: Ethics approval from the health district and the University of Wollongong has been granted. Findings will seek to demonstrate associations between management strategies and patient outcomes, as well as describe patterns of acute care management from prescribers. These data will be used to inform and generate hypotheses for large-scale studies examining the impact of body weight on anticoagulation prescribing at national and global scales.

Background: Across the world, two of the most common conditions include obesity and a heart disease that causes irregular heartbeat which is known as Atrial Fibrillation (AF). As a result of the excessive over or underweight of an individual with AF, can affect how some of the medications used manage AF work, in turn potentially affecting their health. Purpose: The main purpose of this study is to describe how often people with AF end up in the hospital because of heart-related problems based on their weight category. We also want to describe how doctors prescribe blood thinners and medicines that control the heart rhythm, in patients with AF based on their body weight. Design and method: To do this we will examine old electronic medical records over a two-year period, from January 2017 to December 2018 from five public hospitals, and we will see what happens after one year if they were hospitalised. These hospitals serve a diverse population with a mix of languages and cultures and are low-income earning households. We will only examine the electronic medical records of adults (18 years and over) who were diagnosed with AF and were prescribed blood thinners and/or heart rate or rhythm-controlling medications at the time of leaving the hospital. All adult (⩾18 years) patients at discharge diagnosed with AF, prescribed any oral anticoagulant and/or oral rate/rhythm control agent, will be eligible for inclusion. We have already gotten approval from the hospital and the University of Wollongong to conduct this study ethically. We anticipate that the results from this study will help us understand how different treatments and body weights are connected, and this knowledge can be used to plan bigger studies on a national and global scale to improve how we care for people with irregular heartbeats.

Designing a study that examines the use of blood thinners in hospitalised patients with irregular heartbeat at different body weights.

The impact of a mixed reality technology-driven health enhancing physical activity program among community-dwelling older adults: a study protocol.

Background: Physical inactivity and a sedentary lifestyle among community-dwelling older adults poses a greater risk for progressive physical and cognitive decline. Mixed reality technology-driven health enhancing physical activities such as the use of virtual coaches provide an emerging and promising solution to support healthy lifestyle, but the impact has not been clearly understood. Methods and analysis: An observational explanatory sequential mixed-method research design was conceptualized to examine the potential impact of a user-preferred mixed reality technology-driven health enhancing physical activity program directed toward purposively selected community-dwelling older adults in two senior centers in the Philippines. Quantitative components of the study will be done through a discreet choice experiment and a quasi-experimental study. A total of 128, or 64 older adults in each center, will be recruited via posters at community senior centers who will undergo additional screening or health records review by a certified gerontologist to ensure safety and proper fit. Treatments (live coaching with video-based exercise and mixed reality technology-driven exercise) will be assigned to each of the two senior center sites for the quasi-experiment. The participants from the experimental group shall be involved in the discreet choice experiment, modeling, and usability evaluations. Finally, a qualitative sample of participants (n = 6) as key informants shall be obtained from the experimental group using purposive selection. Discussion: This study protocol will examine the health impact of a promising mixed reality program in health promotion among older adults. The study utilizes a human-centered mixed method research design in technology development and evaluation in the context of developing nations.Clinical trial registration: ClinicalTrials.gov, identifier NCT06136468.

Predictors of Supportive Care Needs During Serious Illness: Cross-sectional Analysis of Reservation-Based Informal Caregivers.

Native Americans (Indigenous Americans) have high rates of serious illness in the United States. Informal caregivers are heavily relied on in caring for patients in low-resource settings. The needs of caregivers residing on reservations are sorely underreported. Therefore, our objective was to examine relationships between facilitators (communal mastery, cultural identity, and spirituality) and barriers (depression, anxiety, stress, and burden) with supportive care needs among adult informal caregivers in 1 reservation-based community. A cross-sectional survey was distributed in July and August 2022 as part of a larger multimethod, community-based participatory research study. We used descriptive statistics and linear regression models to examine relationships against the primary outcome, the Supportive Care Needs Assessment Tool for Indigenous People. Overall, 127 participants were included; most were female (n = 92, 72.4%), were between 30 and 49 years (n = 57, 44.9%), and had 6 months or less of caregiving experience (n = 41, 32.5%). Higher depression, anxiety, stress, and burden were significantly associated with higher Supportive Care Needs Assessment Tool for Indigenous People scores. Overall, mental health is a significant barrier that may indicate greater supportive care needs among informal caregivers, although further work is needed to differentiate symptoms and their impact on caregiving from a cultural perspective.

Mixed reality technology for older adults: Evaluating the impact of a novel virtual humanoid coach in a community-based physical exercise program in the Philippines.

Physical inactivity among older adults remains a global burden, leading to a variety of health challenges and even mortality. This study evaluated the impact of a novel virtual humanoid coach-driven physical exercise program among older adults. A non-randomized (quasi) experimental research was conducted in two community senior centers. The recruited participants (n = 130) were primarily female older adults with a mean age of 66.40 and agreed to be purposively assigned either experimental or control groups. Trained healthcare providers performed health assessments in three time points using valid and reliable tools. Descriptive statistics, t-tests, and RM-ANOVA were used to quantitatively analyze the data using SPSS version 22. There are significant mean differences between the groups across all functional capacity assessments and Time 2-3 assessment of sleep quality. RM-ANOVA revealed significant differences in physical assessment over time between the two groups. The analyses of time and group interaction revealed significant improvement in health assessments among the members of the mixed reality group compared to the traditional groups. The impact of virtual coaches in community-based enhancing physical activity programs is comparable to the traditional mode and introduces a novel approach to promoting physical activity among older adults.

Fear in general populations: A cross-sectional study on perceived fear of common diseases, COVID-19, life events, and environmental threats in 30 countries.

Background: In this study, we assessed the general population's fears towards various diseases and events, aiming to inform public health strategies that balance health-seeking behaviours. Methods: We surveyed adults from 30 countries across all World Health Organization (WHO) regions between July 2020 and August 2021. Participants rated their fear of 11 factors on an 11-point Likert scale. We stratified the data by age and gender and examined variations across countries and regions through multidimensional preference analysis. Results: Of the 16 512 adult participants, 62.7% (n = 10 351) were women. The most feared factor was the loss of family members, reported by 4232 participants (25.9%), followed by cancer (n = 2248, 13.7%) and stroke (n = 1416, 8.7%). The highest weighted fear scores were for loss of family members (mean (x̄) = 7.46, standard deviation (SD) = 3.04), cancer (x̄ = 7.00, SD = 3.09), and stroke (x̄ = 6.61, SD = 3.24). The least feared factors included animals/insects (x̄ = 3.72, SD = 2.96), loss of a mobile phone (x̄ = 4.27, SD = 2.98), and social isolation (x̄ = 4.83, SD = 3.13). Coronavirus disease 2019 (COVID-19) was the sixth most feared factor (x̄ = 6.23, SD = 2.92). Multidimensional preference analyses showed distinct fears of COVID-19 and job loss in Australia and Burundi. The other countries primarily feared loss of family members, cancer, stroke, and heart attacks; this ranking was consistent across WHO regions, economic levels, and COVID-19 severity levels. Conclusions: Fear of family loss can improve public health messaging, highlighting the need for bereavement support and the prevention of early death-causing diseases. Addressing cancer fears is crucial to encouraging the use of preventive services. Fear of non-communicable diseases remains high during health emergencies. Top fears require more resources and countries with similar concerns should collaborate internationally for effective fear management.

Key lifestyles and health outcomes across 16 prevalent chronic diseases: A network analysis of an international observational study.

Background: Central and bridge nodes can drive significant overall improvements within their respective networks. We aimed to identify them in 16 prevalent chronic diseases during the coronavirus disease 2019 (COVID-19) pandemic to guide effective intervention strategies and appropriate resource allocation for most significant holistic lifestyle and health improvements. Methods: We surveyed 16 512 adults from July 2020 to August 2021 in 30 territories. Participants self-reported their medical histories and the perceived impact of COVID-19 on 18 lifestyle factors and 13 health outcomes. For each disease subgroup, we generated lifestyle, health outcome, and bridge networks. Variables with the highest centrality indices in each were identified central or bridge. We validated these networks using nonparametric and case-dropping subset bootstrapping and confirmed central and bridge variables' significantly higher indices through a centrality difference test. Findings: Among the 48 networks, 44 were validated (all correlation-stability coefficients >0.25). Six central lifestyle factors were identified: less consumption of snacks (for the chronic disease: anxiety), less sugary drinks (cancer, gastric ulcer, hypertension, insomnia, and pre-diabetes), less smoking tobacco (chronic obstructive pulmonary disease), frequency of exercise (depression and fatty liver disease), duration of exercise (irritable bowel syndrome), and overall amount of exercise (autoimmune disease, diabetes, eczema, heart attack, and high cholesterol). Two central health outcomes emerged: less emotional distress (chronic obstructive pulmonary disease, eczema, fatty liver disease, gastric ulcer, heart attack, high cholesterol, hypertension, insomnia, and pre-diabetes) and quality of life (anxiety, autoimmune disease, cancer, depression, diabetes, and irritable bowel syndrome). Four bridge lifestyles were identified: consumption of fruits and vegetables (diabetes, high cholesterol, hypertension, and insomnia), less duration of sitting (eczema, fatty liver disease, and heart attack), frequency of exercise (autoimmune disease, depression, and heart attack), and overall amount of exercise (anxiety, gastric ulcer, and insomnia). The centrality difference test showed the central and bridge variables had significantly higher centrality indices than others in their networks (P < 0.05). Conclusion: To effectively manage chronic diseases during the COVID-19 pandemic, enhanced interventions and optimised resource allocation toward central lifestyle factors, health outcomes, and bridge lifestyles are paramount. The key variables shared across chronic diseases emphasise the importance of coordinated intervention strategies.

Nursing and human-computer interaction in healthcare robots for older people: An integrative review.

Objectives: This study examined the published works related to healthcare robotics for older people using the attributes of health, nursing, and the human-computer interaction framework. Design: An integrative literature review. Methods: A search strategy captured 55 eligible articles from databases (CINAHL, Embase, IEEE Xplore, and PubMed) and hand-searching approaches. Bibliometric and content analyses grounded on the health and nursing attributes and human-computer interaction framework were performed using MAXQDA. Finally, results were verified using critical friend feedback by a second reviewer. Results: Most articles were from multiple authorship, published in non-nursing journals, and originating from developed economies. They primarily focused on applying healthcare robots in practice settings, physical health, and communication tasks. Using the human-computer interaction framework, it was found that older adults frequently served as the primary users while nurses, healthcare providers, and researchers functioned as secondary users and operators. Research articles focused on the usability, functionality, and acceptability of robotic systems. At the same time, theoretical papers explored the frameworks and the value of empathy and emotion in robots, human-computer interaction and nursing models and theories supporting healthcare practice, and gerontechnology. Current robotic systems are less anthropomorphic, operated through real-time direct and supervisory inputs, and mainly equipped with visual and auditory sensors and actuators with limited capability in performing health assessments. Conclusion: Results communicate the need for technological competency among nurses, advancements in increasing healthcare robot humanness, and the importance of conscientious efforts from an interdisciplinary research team in improving robotic system usability and utility for the care of older adults.

Generating key practice points that enable optimal palliative care in acute hospitals: Results from the OPAL project's mid-point meta-inference.

Background: Internationally, the epidemiology of dying is changing with people dying at an older age from an expected death and with complex health care needs. An increasing proportion of people require hospital care with the need to strengthen the quality of this care well-articulated. Evidence about what enables optimal inpatient palliative care is available. Articulating how to enable this within clinical practice is required. Objective: To investigate the domains of care that are most important to inpatients with palliative care needs and their families, to generate key practice points to inform optimal clinical care provision. Design: A mid-point meta-inference of the Opal Project's data. The three phase Opal Project utilised a fully mixed sequential dominant design (Quan â†’ QUAL). Phase 1 focused on 'scoping the problem' through a systematic review and meta-synthesis of important aspects of care for inpatients with palliative care needs and their families (studies 1a and 1b); Phase 2 focused on 'understanding importance' through a qualitative interview study (study 2); and a mid-point meta-inference of data obtained across Studies 1a, 1b and 2. Phase 3 included a global environmental scan (Study 3) and co-design workshop (Study 4) focused on understanding how to drive reform for Australian inpatient palliative care, based on outcomes from the mid-point meta-inference; and an end-point meta-inference to generate final recommendations. Methods: Mid-point meta-inference of data obtained across Phases 1 and 2 involving: 1) verifying synthesis of data with palliative care consumers and clinical leaders; and 2) populating joint display tables to inform analysis and generate practice points. Results: Three categories and 14 domains informing optimal inpatient palliative care were identified: 1) Person-centred care including respectful and compassionate care; effective communication and shared decision making; effective teamwork; enabling family involvement; and maintaining role, meaning and identity; 2) Expert care including excellence in physical care; impeccable assessment and care planning; effective symptom management; technical competence; patient safety; and supported access to senior clinicians; and 3) Optimal environment for care including patient and family focused structural factors; and cleanliness to support infection control. Data integration generated 68 practice points informing care provision. Conclusions: Through a synthesis of patient and family perspectives about what is important for optimal inpatient palliative care, this study confirmed three categories of care, 14 domains of importance and 68 practice points. Importantly, these practice points guide clinical practice to enable each domain of care in practice. Tweetable abstract: We know what patients with palliative care needs, and their families need for good care when they are in hospital. It is time to deliver care in line with these needs.