Background: International studies indicate deficits in end-of-life care that can lead to distress for patients and their next-of-kin.
The aim of the study was to translate and validate the “Care of the Dying Evaluation” (CODE) into German (CODE-GER).
Methods: Translation according to EORTC (European Organisation for Research and Treatment of Cancer) guidelines was followed by data collection to evaluate psychometric properties of CODE-GER. Participants were next-of-kin of patients who had died an expected death in two hospitals. They were invited to participate at least eight, but not later than 16 weeks after the patient’s death. To calculate construct validity, the Palliative care Outcome Scale (POS) was assessed. Difficulty and perceived strain of answering the questionnaire were assessed by a numeric scale (0–10).
Results: Out of 1137 next-of-kin eligible, 317 completed the questionnaire (response rate: 27.9%). Data from 237 main sample participants, 38 interraters and 55 next-of-kin who participated for repeated measurement were analysed. Overall internal consistency, a = 0.86, interrater reliability, ICC (1) = 0.79, and retest-reliability, ICC (1, 2) = 0.85, were good. Convergent validity between POS and CODE-GER, r = -.46, was satisfactory. A principal component analysis with varimax rotation showed a 7-factor solution. Difficulty, M = 2.2; SD ± 2.4, and perceived strain, M = 4.1; SD ± 3.0, of completing the questionnaire were rather low.
Conclusion: The results from the present study confirm CODE-GER as a reliable and valid instrument to assess the quality of care of the dying person. More over our study adds value to the original questionnaire by proposing a deepened analysis of obtained data. The development of seven subscales increases its potential for further surveys and research.
Lung cancer is the most common cancer and leading cause of cancer mortality globally. Lung cancer is associated with significant morbidity, with symptoms often being poorly managed, causing significant symptom burden for both patients and their family caregivers. In people with life-limiting illnesses including advanced cancer, palliative care has been effective in improving symptom control, physical and mental wellbeing, quality of life, and survivorship; with benefits extending to caregivers while in the role and subsequently. Earlier integration of palliative care within oncology may be associated with improved patient outcomes, and has been supported by two Lancet commissions and national guidelines. The evidence for its effectiveness, however, has been mixed across the cancer spectrum. The aim of this review was to evaluate the current evidence for the effectiveness of early integrated palliative care in improving outcomes for people with lung cancer and their caregivers. Meta-analyses were performed where studies used the same measure. Otherwise, synthesis used a narrative approach. Similar to other types of advanced cancer, this review reveals mixed evidence for the effectiveness of early referral to palliative care and for the effectiveness of individual palliative interventions for people with lung cancer and their caregivers. Evidence that on-demand palliative care is equally, if not more effective than palliative care that is routinely provided, raises the question whether initiation and provision of palliative care as part of multidisciplinary lung cancer care ought to be guided by an early referral or need-based referral. Better understanding of what constitutes palliative care when delivered to people with lung cancer and their caregivers will help delineate the correlation with reported outcomes for these populations.
Relieving physical and emotional distress and supporting patients and families through illness, even when cure is not possible, is foundational to medicine. Yet, while states and health systems have devoted much work to the fair allocation of scarce critical care resources, novel therapeutics, and potential vaccines during the coronavirus disease 2019 (COVID-19) pandemic, many triage protocols assume all patients who need palliative and hospice care will have access to these services. But even under usual conditions, shortages in these services are common. As the United States surpasses the grim milestone of 200 000 excess deaths due to COVID-19,3 surges in demand for end-of-life care have exposed and exacerbated underlying gaps in access to specialty-trained physicians and teams, palliative care medications, and bereavement support for patients and families. These gaps jeopardize the quality of care for seriously ill and at-risk patients, including those whose prognosis is uncertain and those with diseases other than COVID-19.
CONTEXT: Improving end-of-life care (EOLC) quality among heart failure patients is imperative. Data are limited as to the hospital processes of care that facilitate this goal.
OBJECTIVES: To determine associations between hospital-level EOLC quality ratings and the EOLC delivered to heart failure patients.
METHODS: Retrospective analysis of the Veterans Health Administration (VA) and the Bereaved Family Survey data of heart failure patients from 2013-2015 who died in 107 VA hospitals. We calculated hospital-level observed-to-expected casemix-adjusted ratios of family-reported "excellent" EOLC, dividing hospitals into quintiles. Using logistic regression, we examined associations between quintiles and palliative care consultation (PCC), receipt of chaplain and bereavement services, inpatient hospice, and intensive care unit (ICU) death.
RESULTS: Of 6,256 patients, mean age was 77.4 (standard deviation=11.1), 98.3% were male, 75.7% white and 18.2% were black. Median hospital scores of "excellent" EOLC ranged from 41.3% (Interquartile range (IQR) 37.0-44.8%) in the lowest quintile to 76.4% (IQR 72.9-80.3%) in the highest. Patients who died in hospitals in the highest quintile, relative to the lowest, were slightly though not significantly more likely to receive a PCC (adjusted proportions 57.6% vs. 51.2%; p=0.32); but were more likely to receive chaplaincy (92.6% vs. 81.2%), bereavement (86.0% vs. 72.2%) and hospice (59.7% vs. 35.9%) and were less likely to die in the ICU (15.9% vs. 31.0%; p<0.05 for all).
CONCLUSION: Patients with heart failure who die in VA hospitals with higher overall EOLC quality receive more supportive EOLC. Research is needed that integrates care processes and develops scalable best-practices in EOLC across healthcare systems.
The Physician Orders for Life-Sustaining Treatment (POLST) program was developed to enhance quality of care delivered at End-of-Life (EoL). Although positive impacts of the POLST program have been identified, the association between a program maturity status and nursing home resident's likelihood of dying in their current care settings remain unanswered. This study aims to evaluate the impact of the POLST program maturity status on nursing home residents' place of death. Using multiple national-level datasets, we examined total 595,152 residents and their place of death. The result showed that the long-stay residents living in states where the program was mature status had 12% increased odds of dying in nursing homes compared that of non-conforming status. Individuals residing in states with developing program status showed 11% increase in odds of dying in nursing homes. The findings demonstrate that a well-structured and well-disseminated POLST program, combined with a continued effort to meet high standards of quality EoL care, can bring out positive health outcomes for elderly patients residing in care settings.
AIM: To examine whether nurses' location of employment, demographics, or training influences their perceptions of what constitutes optimal care for dying patients in hospital.
DESIGN: Questionnaire-based, cross-sectional study.
METHODS: Between December 2016-June 2018, 582 registered or enrolled nurses from Australia (N = 153), South Korea (N = 241), and Hong Kong (N = 188) employed in a variety of hospital care units rated the extent to which they agreed with 29 indicators of optimal end-of-life care across four domains: patient, family, healthcare team, and healthcare system. Latent class analysis identified classes of respondents with similar responses.
RESULTS: Top five indicators rated by participants included: 'physical symptoms managed well'; 'private rooms and unlimited visiting hours'; 'spend as much time with the patient as families wish'; 'end-of-life care documents stored well and easily accessed' and 'families know and follow patient's wishes'. Four latent classes were generated: 'Whole system/holistic' (Class 1); 'Patient/provider-dominated' (Class 2); 'Family-dominated' (Class 3) and 'System-dominated' (Class 4). Class 1 had the highest proportion of nurses responding positively for all indicators. Location was an important correlate of perceptions, even after controlling for individual characteristics.
CONCLUSION: Nurses' perceptions of optimal end-of-life care are associated with location, but perhaps not in the direction that stereotypes would suggest. Findings highlight the importance of developing and implementing location-specific approaches to optimize end-of-life care in hospitals.
IMPACT: The findings may be useful to guide education and policy initiatives in Asian and Western countries that stress that end-of-life care is more than symptom management. Indicators can be used to collect data that help quantify differences between optimal care and the care actually being delivered, thereby determining where improvements might be made.
BACKGROUND: The majority of expected deaths in high income countries occur in hospital where optimal palliative care cannot be assured. In addition, a large number of patients with palliative care needs receive inpatient care in their last year of life. International research has identified domains of inpatient care that patients and carers perceive to be important, but concrete examples of how these might be operationalised are scarce, and few studies conducted in the southern hemisphere.
AIM: To seek the perspectives of Australian patients living with palliative care needs about their recent hospitalisation experiences to determine the relevance of domains noted internationally to be important for optimal inpatient palliative care and how these can be operationalised.
DESIGN: An exploratory qualitative study using semi-structured interviews.
SETTING/PARTICIPANTS: Participants were recruited through five hospitals in New South Wales, Australia.
RESULTS: Twenty-one participants took part. Results confirmed and added depth of understanding to domains previously identified as important for optimal hospital palliative care, including: Effective communication and shared decision making; Expert care; Adequate environment for care; Family involvement in care provision; Financial affairs; Maintenance of sense of self/identity; Minimising burden; Respectful and compassionate care; Trust and confidence in clinicians and Maintenance of patient safety. Two additional domains were noted to be important: Nutritional needs; and Access to medical and nursing specialists.
CONCLUSIONS: Taking a person-centred focus has provided a deeper understanding of how to strengthen inpatient palliative care practices. Future work is needed to translate the body of evidence on patient priorities into policy reforms and practice points.
BACKGROUND: A critical barrier to improving the quality of end-of-life (EOL) cancer care is our lack of understanding of the mechanisms underlying variation in EOL treatment intensity. This study aims to fill this gap by identifying 1) organizational and provider practice norms at major US cancer centers, and 2) how these norms influence provider decision making heuristics and patient expectations for EOL care, particularly for minority patients with advanced cancer.
METHODS: This is a multi-center, qualitative case study at six National Comprehensive Cancer Network (NCCN) and National Cancer Institute (NCI) Comprehensive Cancer Centers. We will theoretically sample centers based upon National Quality Forum (NQF) endorsed EOL quality metrics and demographics to ensure heterogeneity in EOL intensity and region. A multidisciplinary team of clinician and non-clinician researchers will conduct direct observations, semi-structured interviews, and artifact collection. Participants will include: 1) cancer center and clinical service line administrators; 2) providers from medical, surgical, and radiation oncology; palliative or supportive care; intensive care; hospital medicine; and emergency medicine who see patients with cancer and have high clinical practice volume or high local influence (provider interviews and observations); and 3) adult patients with metastatic solid tumors and whom the provider would not be surprised if they died in the next 12 months and their caregivers (patient and caregiver interviews). Leadership interviews will probe about EOL institutional norms and organization. We will observe inpatient and outpatient care for two weeks. Provider interviews will use vignettes to probe explicit and implicit motivations for treatment choices. Semi-structured interviews with patients near EOL, or their family members and caregivers will explore past, current, and future decisions related to their cancer care. We will import transcribed field notes and interviews into Dedoose software for qualitative data management and analysis, and we will develop and apply a deductive and inductive codebook to the data.
DISCUSSION: This study aims to improve our understanding of organizational and provider practice norms pertinent to EOL care in U.S. cancer centers. This research will ultimately be used to inform a provider-oriented intervention to improve EOL care for racial and ethnic minority patients with advanced cancer.
Settings/subjects: Surrogate decision makers for deceased stroke patients in a population-based study.
Measurements: The primary outcome was the validated 10-item family version of the QEOLC scale. The univariate association between prespecified patient and surrogate factors and dichotomized QEOLC score (high: 8–10, low: 0–7) was explored with logistic regression fit using generalized estimating equations.
Results: Seventy-nine surrogates for 66 deceased stroke cases were enrolled (median patient age: 76, female patient: 53%, Mexican American patient: 59%, median time from stroke to death: seven days, median surrogate age: 59, and female surrogate: 72%). The overall QEOLC was generally high (median 8.3, quartiles 6.1, 9.6) although several individual items had a high proportion ([about] 30%–50%) of surrogates who felt that the questions did not apply to the patient's situation. No hypothesized factors were associated with QEOLC score, including demographics, stroke type, location/timing of death, advance directives, health literacy, or understanding of patient wishes.
Conclusions: Surrogates reported generally high QEOLC. Although this finding is encouraging, modifications to the QEOLC may be needed in stroke as some surrogates were unable to provide a valid response for certain items.
Background: Advanced heart failure (AHF) carries a morbidity and mortality that are similar or worse than many advanced cancers. Despite this, there are no accepted quality metrics for end-of-life (EOL) care for patients with AHF.
Methods and Results: As a first step toward identifying quality measures, we performed a qualitative study with 23 physicians who care for patients with AHF. Individual, in-depth, semistructured interviews explored physicians' perceptions of characteristics of high-quality EOL care and the barriers encountered. Interviews were analyzed using software-assisted line-by-line coding in order to identify emergent themes. Although some elements and barriers of high-quality EOL care for AHF were similar to those described for other diseases, we identified several unique features. We found a competing desire to avoid overly aggressive care at EOL alongside a need to ensure that life-prolonging interventions were exhausted. We also identified several barriers related to identifying EOL including greater prognostic uncertainty, inadequate recognition of AHF as a terminal disease and dependence of symptom control on disease-modifying therapies.
Conclusions: Our findings support quality metrics that prioritize receipt of goal-concordant care over utilization measures as well as a need for more inclusive payment models that appropriately reflect the dual nature of many AHF therapies.
CONTEXT: Evaluation of end-of-life care is a key element in quality improvement, and population-based mortality follow-back designs have been used in several countries. This design was adapted to evaluate a Good Death in Japan.
OBJECTIVES: This study aimed to explain the scientific background and rationale for assessing the feasibility of a mortality follow-back survey using a randomized design.
DESIGN: We utilized a cross-sectional, questionnaire survey to assess feasibility using response rate, sample representativeness, effect on response rate with two methods, and survey acceptability.
SETTING/PARTICIPANTS: The subjects were 4,812 bereaved family members of patients who died from the major five causes of death: cancer, heart disease, cerebrovascular disease, pneumonia, or kidney failure, using mortality data.
RESULTS: Overall, 682 (14.2%) questionnaires could not be delivered, and 2,294 (55.5%) family members agreed to participate in the survey. There was little difference in the distribution of characteristics between the study subjects and the full population, and sample representativeness was acceptable. Sending the questionnaire with a pen achieved a higher response rate than without (weighted: 48.2% vs. 40.8%; p<0.001). In follow-up contact, there was no difference in response rate between resending the questionnaire and a reminder letter alone (weighted: 32.9% vs. 32.4%; p=0.803). In total, 84.8% (weighted) of the participants agreed with improving quality of care through this kind of survey.
CONCLUSIONS: This study demonstrated the feasibility of conducting a population-based mortality follow-back survey using a randomized design. An attached pen with the questionnaire was effective in improving the response rate.
Purpose: The purpose of the study is to capture goals expressed by older adults with functional limitations and their caregivers.
Methods: Through focus groups and interviews, 76 older adults with =1 activity of daily living limitation and 28 family/friend caregivers were asked about what mattered most to them and their goals for care. Transcripts were coded using an existing taxonomy. Goals that did not fit the taxonomy were assigned new codes.
Results: We identified more than 50 goals in eight domains. Domains included (a) Medical Care; (b) Quality of Life: Physical; (c) Quality of Life: Social and Emotional; (d) Access to Services and Supports; (e) Caregiver Needs and Concerns; (f) End of Life; (g) Independence; and (h) Acceptable Housing.
Conclusion: While there is overlap between identified goals and the existing taxonomy, new goals emerged. The goal domains identified could serve as a framework to improve and measure the quality of goal-oriented care for older adults with complex needs.
Delivering optimal end-of-life (EOL) care to children and adolescents is a healthcare priority, yet relatively little is known about what patients, families, and healthcare providers (HCPs) consider “best” practices. The objective of this study was to identify factors that pediatric oncology HCPs consider important for EOL care. This was a cross-sectional mixed methods study. Participants were multidisciplinary pediatric oncology staff who completed surveys and participated in semi-structured qualitative interviews. Interviews were analyzed using a modified grounded theory approach. Provider statements were compared based on years of experience (=10 or >10 years) and discipline (non-physician or physician). A total of n = 19 staff (74% female) enrolled, including physicians (n = 8), advanced practice providers (n = 4), nurses (n = 2), music/art therapists (n = 2), physical therapists (n = 1), educators (n = 1), and chaplains (n = 1). Most HCPs identified communication, symptom control, and acceptance as features of a “good” death. Compared to physicians, non-physicians focused on relationships (67% vs. 33%, p = 0.007); HCPs with =10 years of experience (n = 11) more frequently identified the benefits of a multidisciplinary team (74% vs. 26%, p = 0.004). This study identified many common HCP-defined components of “good” pediatric EOL care in addition to some differing perspectives depending on discipline and experience. Incorporating diverse HCP perspectives with those of the patient and family can guide contemporary high-quality pediatric EOL clinical care and education
BACKGROUND: Few studies have specifically addressed quality of life issues for elderly hospice patients. The purpose of this study is to explore various factors and service patterns of the quality of life of end-of-life care for the elderly.
METHODS: We collect the data and make small-scale exploratory study via semi-structured individual interviews. Data were collected from the family of 2 elderly cancer patients receiving hospice services, and the data were analyzed qualitatively.
RESULTS: After investigation, we found that elderly people in hospice care, regardless of age, are suffering from physical and psychological pain and do not want to spend the rest of their lives in the hospital, but want to die in their own homes.
CONCLUSIONS: Both hospitalization and in-home care can improve resource utilization, and the key is to find various factors affecting the quality of life. Improving the quality of life is what patients and their families need most.
BACKGROUND: Cystic fibrosis (CF) is a life-limiting disease that results in premature death mainly due to respiratory failure. Literature suggests that for many people with CF end-of-life wishes are discussed too late or not at all, with most dying in hospital. The aim of this project was to improve end-of-life care for adults with CF.
DESIGN: Three improvement cycles were carried out over a 2-year period in one of the largest adult CF centres in Europe. The first cycle involved implementing regular multidisciplinary team (MDT) debriefs after a patient death with increased education. The second cycle involved codesigning a CF-specific advance care plan (ACP) with patients, families, bereaved relatives and experts across the UK, then implementing this into our service. The final cycle was designing a CF-specific end of life, online course for clinicians. Success was measured by: use of ACP and whether patients had died in their preferred location, patient feedback via a survey and satisfaction with the online course using a postcourse report.
RESULTS: The number of patients given the opportunity to discuss their end of life wishes increased from 10% to 85%. The number of patients who died in their preferred location increased from 7% to 85% over the 2-year project time. Patient feedback has been overwhelmingly positive. The key barrier has been changing MDT culture, overcoming this required the engagement of the whole team. The online course has been successful with 258 participants to date from 26 countries.
CONCLUSION: Education, staff support and a CF-specific ACP document empowered healthcare professionals to initiate difficult conversations to improve end-of-life care.
PURPOSE: Monitoring and improving the quality of palliative and end-of-life cancer care remain pressing needs in the United States. Among existing measures that assess the quality of palliative and end-of-life care, many operationalize similar concepts. We identified existing palliative care process measures and synthesized these measures to aid stakeholder prioritization that will facilitate health system implementation in patients with advanced cancer.
METHODS: We reviewed MEDLINE/PubMed-indexed articles for process quality measures related to palliative and end-of-life care for patients with advanced cancer, supplemented by expert input. Measures were inductively grouped into "measure concepts" and higher-level groups.
RESULTS: Literature review identified 226 unique measures from 23 measure sources, which we grouped into 64 measure concepts within 12 groups. Groups were advance care planning (11 measure concepts), pain (7), dyspnea (9), palliative care-specific issues (6), other specific symptoms (17), comprehensive assessment (2), symptom assessment (1), hospice/palliative care referral (1), spiritual care (2), mental health (5), information provision (2), and culturally appropriate care (1).
CONCLUSION: Measure concepts covered the spectrum of care from acute symptom management to advance care planning and psychosocial needs, with variability in the number of measure concepts per group. This taxonomy of process quality measure concepts can be used by health systems seeking stakeholder input to prioritize targets for improving palliative and end-of-life care quality in patients with advanced cancer.
Patients with hematologic malignancies are thought to receive more aggressive end-of-life (EOL) care and have suboptimal hospice use compared with patients with solid tumors, but descriptions of EOL outcomes from comprehensive cohorts have been lacking. We used the population-based Surveillance, Epidemiology, and End Results-Medicare dataset to describe hospice use and indicators of aggressive EOL care among Medicare beneficiaries who died of hematologic malignancies in 2008-2015. Overall, 56.5% of decedents used hospice services for median 9 days (interquartile range, 3-27), 33.0% died in an acute hospital setting, 36.8% had an intensive care unit (ICU) admission in the last 30 days of life, and 13.3% received chemotherapy within the last 14 days of life. Hospice use was associated with 96% lower probability of inpatient death (adjusted risk ratio [aRR], 0.038; 95% confidence interval [CI], 0.035-0.042), 44% lower probability of an ICU stay in the last 30 days of life (aRR, 0.56; 95% CI, 0.54-0.57), and 62% decrease in chemotherapy use in the last 14 days of life (aRR, 0.38; 95% CI, 0.35-0.41). Hospice enrollees spent on average 41% fewer days as inpatient during the last month of life (adjusted means ratio, 0.59; 95% CI, 0.57-0.60) and had 38% lower mean Medicare spending in the last month of life (adjusted means ratio, 0.62; 95% CI, 0.61-0.64). These associations were consistent across histologic subgroups. In conclusion, EOL care quality outcomes and hospice enrollment were suboptimal among older decedents with hematologic cancers, but hospice use was associated with a consistent decrease in aggressive care at EOL.
AIMS: Develop and psychometrically assess the Palliative Nursing Care Quality Scale (PNCQS, escala de Calidad del Cuidado Enfermero Paliativo, CCEP, in Spanish). An interview-based qualitative study (1) was conducted to verify construct validity evidence, with psychometric properties of reliability and validity verified by two quantitative studies (2 & 3).
DESIGN: Quantitative instrumental, correlational, and cross-sectional study.
METHODS: Study 1 was carried out with 10 key informants. For Study 2, a sample of 103 nursing professionals was obtained and 176 nurses from palliative care resources in Spain participated in Study 3. Data were collected between May 2017 - May 2018.
RESULTS: Evidence of adequate reliability (internal consistency) and validity was found. The confirmatory factor model yielded a single latent factor for the 20 items, with adequate goodness-of-fit indices. The convergent validity data showed that the highest correlations were with the Dedication subscale of the Utrecht Work Engagement Scale and the Personal Growth subscale of Psychological Well-being, with values of 0.35 and 0.34, respectively (p < 0.01 in both cases).
CONCLUSION: The scale shows good psychometric properties, with high internal consistency and evidence of internal and convergent validity.
IMPACT: Proposing a valuable instrument which identifies good nursing in different areas of palliative care while also establishing quality indicators to guide nursing practice entails the recognition of autonomy in care. The resulting work tool can be used to systematize the assessment of nursing care in a process of open and continuous improvement.
BACKGROUND: Quality of care for patients dying in hospital remains suboptimal. A major problem is the identification of valid sources of information about the views and experiences of dying patients and their relatives.
AIM: This study aimed to estimate the agreement on quality of end-of-life care from the perspectives of bereaved relatives, physicians and nurses interviewed after the patients' death.
DESIGN: In this prospective study, we interviewed, after the patient death, the bereaved relatives, the attending physicians and the reference nurses, using the Toolkit After-death Family Interview and the View Of Informal Carers-Evaluation of Services (VOICES). Agreement was assessed using Lin's concordance correlation coefficient, Cohen's kappa, overall concordance correlation coefficient and Fleiss' kappa.
SETTING/PARTICIPANTS: We enrolled a consecutive series of 40 adult patients who died of cancer between January and December 2016 who had spent at least 48 hours in the medical oncology ward of the Santa Maria Hospital of Reggio Emilia, Italy.
RESULTS: We interviewed all physicians and nurses, and 26 (65.0%) out of 40 relatives. We found a poor agreement on overall quality of care among the three proxies (+0.21; -0.04 to 0.44), between relatives and nurses (+0.05; -0.39 to +0.47), and between relatives and physicians (+0.25; -0.13 to +0.57). A similar poor agreement was observed for all the other Toolkit and VOICES scales.
CONCLUSIONS: The agreement was rather poor, confirming previous results in different settings. Information from professional proxies should not be used for assessing the quality of care or for estimating missing information from bereaved relatives.
CONTEXT: Since Canada decriminalized medical assistance in dying (MAID) in 2015, clinicians and organizations have developed policies and protocols to implement assisted dying in clinical practice. Five years on, there is little consensus as to what constitutes high-quality care in MAID.
OBJECTIVES: To describe MAID clinicians' perspectives on quality of care in MAID, including challenges, successes, and clinical practice suggestions.
METHODS: We conducted an exploratory, multi-centre, qualitative study at four Canadian centres. Using a semi-structured interview guide, we conducted interviews with 20 health care providers. Interviews were transcribed and de-identified prior to analysis. Adopting a qualitative descriptive approach, we used a thematic analysis to identify primary and secondary themes in the interviews and practice suggestions to improve quality of care to patients who request MAID.
RESULTS: We identified three major themes. 1) Improving access and patient experience: clinicians described struggles in ensuring equitable access to MAID and supporting MAID patients and their families. 2) Supporting providers and sustainability: clinicians described managing MAID workload, remuneration, educational needs, and the emotional impact of participating in assisted dying. 3) Institutional support: descriptions of MAID communication tools and training, use of standardized care pathways, inter-professional collaboration, and human resource planning. Clinicians also described suggestions for clinical practice to improve quality of care.
CONCLUSION: Canadian health care providers described unique challenges in caring for patients who request MAID, along with practices to improve the quality of care.