Validation of a concise screening tool for the identification of palliative care needs among inpatients: A prospective study in hospital setting

Palliative care screening tools and patient outcomes: a systematic review

BACKGROUND

Palliative care (PC) refers to providing patients with physical, psychological, mental, and other care and humanistic care services in a multidisciplinary collaborative mode with end-of-stage patients and family members as the centre. The PC screening tool (PCST) was developed to identify individuals who may benefit from PC services and is widely assumed to improve patient outcomes.

OBJECTIVES

The purpose is to understand which specific PCST has been applied to clinical patients and to analyse and summarise the impact of using these tools on patient outcomes.

METHODS

A systematic review of articles published on PCST was performed in PubMed, Web of Science, CINAHL and MEDLINE in January 2024. All original research articles on PCST fulfilling the following eligibility criteria were included (1) utilisation and evaluation of tools was the primary objective and (2) at least one patient outcome was reported.

RESULTS

A total of 22 studies were included, 12 studies used a prospective study, 4 studies used a non-RCT and 6 studies used an RCT. The studies were heterogeneous regarding study characteristics, especially patient outcomes. In total, 24 different patient outcomes were measured, of which 16 outcomes measured in 12 studies significantly improved.

CONCLUSIONS

We found that the majority of included studies reported that implementing PCST can improve patient outcomes to some extent, especially when used to improve in reducing hospitalisation time and patient readmission rate. However, there is a lack of high-quality research on this widely used screening tool.

Screening instruments for early identification of unmet palliative care needs: a systematic review and meta-analysis

BACKGROUND

The early detection of individuals who require palliative care is essential for the timely initiation of palliative care services. This systematic review and meta-analysis aimed to (1) Identify the screening instruments used by health professionals to promote early identification of patients who may benefit from palliative care; and (2) Assess the psychometric properties and clinical performance of the instruments.

METHODS

A comprehensive literature search was conducted in PubMed, Embase, CINAHL, Scopus, CNKI and Wanfang from inception to May 2023. We used the COnsensus-based Standards for the Selection of Health Measurement INstruments to assess the methodological quality of the development process for the instruments. The clinical performance of the instruments was assessed by narrative summary or meta-analysis. Subgroup analyses were conducted where necessary. The quality of included studies was assessed using the Newcastle-Ottawa Scale and the Cochrane Collaboration's risk of bias assessment tool.

RESULTS

We included 31 studies that involved seven instruments. Thirteen studies reported the development and validation process of these instruments and 18 studies related to assessment of clinical performance of these instruments. The content validity of the instruments was doubtful or inadequate because of very low to moderate quality evidence. The pooled sensitivity (Se) ranged from 60.0% to 73.8%, with high heterogeneity (I2 of 88.15% to 99.36%). The pooled specificity (Sp) ranges from 70.4% to 90.2%, with high heterogeneity (I2 of 96.81% to 99.94%). The Supportive and Palliative Care Indicators Tool (SPICT) had better performance in hospitals than in general practice settings (Se=79.8% vs 45.3%, p=0.004; Sp=59.1% vs 97.0%, p=0.000).

CONCLUSION

The clinical performance of existing instruments in identifying patients with palliative care needs early ranged from poor to reasonable. The SPICT is used most commonly, has better clinical performance than other instruments but performs better in hospital settings than in general practice settings.

The utility of the surprise question by nurses to identify hospitalised older patients nearing the end-of-life and promotion of advance care planning: An interventional study

AIMS AND OBJECTIVES

To assess the prognostic accuracy of the surprise question (SQ) when used by nurses working in hospital wards to determine 1-year mortality in acutely hospitalised older patients.

BACKGROUND

The predictive accuracy of the SQ, when used by general nurses caring for older hospitalised patients, has not been comprehensively studied.

DESIGN

A prospective cohort study.

METHODS

This cohort study recruited consecutive 10,139 older patients (aged ≥65 years) who were admitted to Taipei City Hospital and were evaluated for the needs of palliative care in 2015. All patients were followed up for 12 months or until their death. The c-statistic value was calculated to indicate the predictive accuracy of the SQ and Palliative Care Screening Tool (PCST).

RESULTS

Of all participants, 18.8% and 18.6% had a SQ response of 'no' and a PCST score ≥4, respectively. After controlling for other covariates, an SQ response of 'no' (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.83-2.31) and a PCST score ≥4 (AHR = 1.50; 95% CI: 1.29-1.75) were found to be the independent predictors for patients' 12-month mortality. The C-statistic values of the SQ and the PCST at recognising patients in their last year of life were .663 and .670, respectively. Moreover, there was moderate concordance (k = .44) between the SQ and the PCST in predicting 12-month mortality.

CONCLUSIONS

SQ response of 'no' and a PCST score ≥4 were independent predictors of 12-month mortality in older patients.

RELEVANCE TO CLINICAL PRACTICE

The SQ, when used by nurses working in hospital wards, is effective in identifying older patients nearing the end of life, as well as in providing advance care planning for patients.

PATIENT OR PUBLIC CONTRIBUTION

Patients' palliative care needs at admission were assessed by general nurses using the SQ and PCST.

Development and Implementation of a Real-Time Inpatient Palliative Care Screening Process to Promote Earlier Palliative Care Referrals

Despite the previous development of criteria for palliative screening tools, there remains a lack of validated and practical screening processes for the general hospitalized patient population for everyday clinical use. This quality improvement project's aim was to implement a practical institution-based adult inpatient palliative care screening tool embedded into the electronic medical record with an automated alert process to assist in identifying patients earlier within hospital admission. The project used a preimplementation and postimplementation design and followed the Plan-Do-Study-Act process to measure the effectiveness of the tool and alert process in decreasing time from admission to palliative care referral and impact on referring patterns. During the project period, 1851 palliative care referrals were completed, and minimal difference (0.6%) was noted in the average time from admission to referral preimplementation and postimplementation ( P = .939). There was a 3.7% increase in referrals postimplementation and a shift in referring service patterns ( P = .321). Although the expected outcome of earlier palliative referrals during admissions was not met, the development and implementation of the tool and alert process is a step toward the creation of a standard practical tool for the general hospitalized patient population.

Analysis of Palliative Care Utilization and Medical Expenses among Patients with Chronic Diseases in Taiwan: A Population-Based Cohort Study

Palliative care (PC) is an important alternative treatment for patients with chronic diseases, particularly for those in the later stages of disease progression. This is because these diseases are often irreversible, with progressive worsening of symptoms. By encouraging the use of tranquility resources for good death and spiritual relief, PC can reduce the physical and psychological burden on patients at the end of their lives. Currently, most discussions on PC have focused on patients with cancers, and few have further discussed the differences in medical expenses between PC and emergency treatment in patients with chronic diseases at the end of their lives. This study analyzed the top three chronic diseases in patients who used PC resources in the past decade and identified the impact of emergency treatment on mean survival time and medical expenses based on the medical records from the National Health Insurance Research Database. In total, 4061 patients with chronic diseases who were admitted to hospice wards were included in this study; of them, 85 patients still received emergency treatment, including urinary catheterization, nasogastric intubation, and respirator use, at the end of their lives. The mean survival time of patients aged 50-64 years who received emergency treatment was longer than that of the same age group who did not receive emergency treatment. Different comparisons of the mean survival time and medical expenses using real-world data provides important insights regarding PC management that may assist in establishing health policies in the future.

Identifying Patients in Need of Goals of Care Conversations: Reliability, Acceptability, and Prognostic Significance of the Preference-Aligned Communication and Treatment Conversation Trigger Tool for Patients with Cancer

Background: Simple methods to help teams identify patients with goals of care (GOC) conversation needs are lacking. Objectives: To develop a tool to identify hospitalized patients who may benefit from GOC conversations. Methods: The Preference-Aligned Communication and Treatment (PACT) Conversation Trigger Tool was implemented as part of a quality improvement initiative in 10 Illinois hospitals and validated in a cohort of patients admitted to the coordinating site's oncology unit (n = 135). Results: The tool was reliable and acceptable to clinicians using it across sites. Thirty percent (n = 40) of patients screened at the coordinating site's oncology unit triggered positive. These patients were more likely to have a do-not-resuscitate order (43% vs. 11%) and palliative care consult (53% vs. 20%) and had lower mean survival time (125 vs. 248 days) than those who did not trigger (p < 0.001). Conclusions: The tool is reliable, acceptable, and can identify hospitalized oncology patients who may benefit from GOC conversations.

Comparison of intuitive assessment and palliative care screening tool in the early identification of patients needing palliative care

The intuitive assessment of palliative care (PC) needs and Palliative Care Screening Tool (PCST) are the assessment tools used in the early detection of patients requiring PC. However, the comparison of their prognostic accuracies has not been extensively studied. This cohort study aimed to compare the validity of intuitive assessment and PCST in terms of recognizing patients nearing end-of-life (EOL) and those appropriate for PC. All adult patients admitted to Taipei City Hospital from 2016 through 2019 were included in this prospective study. We used both the intuitive assessment of PC and PCST to predict patients’ 6-month mortality and identified those appropriate for PC. The c-statistic value was calculated to indicate the predictive accuracies of the intuition and PCST. Of 111,483 patients, 4.5% needed PC by the healthcare workers’ intuitive assessment, and 6.7% had a PCST score ≥ 4. After controlling for other covariates, a positive response ‘yes’ to intuitive assessment of PC needs [adjusted odds ratio (AOR) = 9.89; 95% confidence interval (CI) 914–10.71] and a PCST score ≥ 4 (AOR = 6.59; 95%CI 6.17–7.00) were the independent predictors of 6-month mortality. Kappa statistics showed moderate concordance between intuitive assessment and PCST in predicting patients' 6-month mortality (k = 0.49). The c-statistic values of the PCST at recognizing patients’ 6-month mortality was significantly higher than intuition (0.723 vs. 0.679; p < 0.001). As early identification of patients in need of PC could improve the quality of EOL care, our results suggest that it is imperative to screen patients’ palliative needs by using a highly accurate screening tool of PCST.

Utilization of Palliative Care Screening Tool to Early Identify Patients with COVID-19 Needing Palliative Care: A Cohort Study

There are very few programs that identify patients with coronavirus disease 2019 (COVID-19) who need palliative care. This cohort study presents a model to use a validated palliative care screening tool (PCST) to systematically identify hospitalized patients with COVID-19 in need of palliative care. In this prospective study, we consecutively recruited patients with COVID-19 admitted to Taipei City Hospital between 1 January and 30 July 2021. Patients’ palliative care needs were determined by using the PCST. Advance care planning (ACP) and advance directives (AD) were systemically provided for all patients with a PCST score ≥ 4. Of 897 patients, 6.1% had a PCST score ≥ 4. During the follow-up period, 106 patients died: 75 (8.9%) with a PCST score < 4 and 31 (56.4%) with a PCST score ≥ 4. The incidence of mortality was 2.08 and 0.58/100 person-days in patients with PCST scores ≥ 4 and <4, respectively. After controlling for other covariates, a PCST score ≥ 4 was associated with a higher risk of mortality in patients with COVID-19 (adjusted HR = 2.08; 95% CI: 1.22–3.54; p < 0.001). During hospitalization, 55 patients completed an ACP discussion with their physicians, which led to 15 of them completing the AD. Since hospitalized patients with COVID-19 had a high mortality rate, it is imperative to implement a comprehensive palliative care program to early identify patients needing palliative care and promotion of AD and ACP.

Investigating Key Factors Related to the Decision of a Do-Not-Resuscitate Consent

Background: The decision to sign a do-not-resuscitate (DNR) consent is critical for patients concerned about their end-of-life medical care. Taiwan’s National Health Insurance Administration (NHIA) introduced a family palliative care consultation fee to encourage family palliative care consultations; since its implementation, identifying which families require such consultations has become more important. In this study, the Taiwanese version of the Palliative Care Screening Tool (TW–PCST) was used to determine each patient’s degree of need for a family palliative care consultation. Objective: This study analyzed factors associated with signing DNR consents. The results may inform family palliative care consultations for families in need, thereby achieving a higher DNR consent rate and promoting the effective use of medical resources, including time, labor, and funding. Method: In this retrospective study, logistic regression analysis was conducted to determine which factors affected the DNR decisions of 2144 deceased patients (aged ≥ 20 years), whose records were collected from the Taipei City Hospital health information system from 1 January to 31 December 2018. Results: Among the 1730 patients with a DNR consent, 1298 (75.03%) received family palliative care consultations. The correlation between DNR consent and family palliative care consultations was statistically significant (p < 0.001). Through logistic regression analysis, we determined that participation in family palliative care consultation, TW–PCST score, type of ward, and length of stay were significant variables associated with DNR consent. Conclusions: This study determined that TW–PCST scores can be used as a measurement standard for the early identification of patients requiring family palliative care consultations. Family palliative care consultations provide opportunities for patients’ family members to participate in discussions about end-of-life care and DNR consent and provide patients and their families with accurate medical information regarding the end-of-life care decision-making process. The present results can serve as a reference to increase the proportion of patients willing to sign DNR consents and reduce the provision of ineffective life-prolonging medical treatment.

Instruments for the identification of patients in need of palliative care in the hospital setting: a systematic review of measurement properties

OBJECTIVE

The objective of this review was to provide a comprehensive overview of the measurement properties of the available instruments used by clinicians for identifying adults in need of general or specialized palliative care in hospital settings.

INTRODUCTION

Identification of patients in need of palliative care has been recognized as an area where many health care professionals need guidance. Differentiating between patients who require general palliative care and patients with more complex conditions who need specialized palliative care is particularly challenging.

INCLUSION CRITERIA

We included development and validation studies that reported on measurement properties (eg, content validity, reliability, or responsiveness) of instruments used by clinicians for identifying adult patients (>18 years and older) in need of palliative care in hospital settings.

METHODS

Studies published until March 2020 were searched in four databases: Embase.com, Medline Ovid, PubMed, and CINAHL EBSCO. Unpublished studies were searched in Google Scholar, government websites, hospice websites, the Library Network of Western Switzerland, and WorldCat. The search was not restricted by language; however, only studies published in English or French were eligible for inclusion. The title and abstracts of the studies were screened by two independent reviewers against the inclusion criteria. Full-text studies were reviewed for inclusion by two independent reviewers. The quality of the measurement properties of all included studies were assessed independently by two reviewers according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology.

RESULTS

Out of the 23 instruments identified, four instruments were included, as reported in six studies: the Center to Advance Palliative Care (CAPC) criteria, the Necesidades Paliativas (NECPAL), the Palliative Care Screening Tool (PCST), and the Supportive and Palliative Care Indicators Tool (SPICT). The overall psychometric quality of all four instruments was insufficient according to the COSMIN criteria, with the main deficit being poor construct description during development.

CONCLUSIONS

For the early identification of patients needing palliative care in hospital settings, there is poor quality and incomplete evidence according to the COSMIN criteria for the four available instruments. This review highlights the need for further development of the construct being measured. This may be done by conducting additional studies on these instruments or by developing a new instrument for the identification of patients in need of palliative care that addresses the current gaps in construct and structural validity.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42020150074.

ID-PALL: An Instrument to Help You Identify Patients in Need of Palliative Care

Palliative care is frequently associated with the end of life and cancer. However, other patients may need palliative care, and this need may be present earlier in the disease trajectory. It is therefore essential to identify at the right time patients who need palliative care and to distinguish between those in need of general palliative care and those for whom a referral to specialists is required. ID-PALL has been developed as an instrument to support professionals in this identification and to discuss a suitable palliative care project, in order to maintain the best quality of life for patients and their relatives. Recommendations for clinical practice are also proposed to guide professionals after the identification phase.

Measurement Properties of ID-PALL, A New Instrument for the Identification of Patients With General and Specialized Palliative Care Needs

CONTEXT

To improve access to palliative care, identification of patients in need of general or specialized palliative care is necessary. To our knowledge, no available identification instrument makes this distinction. ID-PALL is a screening instrument developed to differentiate between these patient groups.

OBJECTIVE

To assess the structural and criterion validity and the inter-rater agreement of ID-PALL.

METHODS

In this multicenter, prospective, cross-sectional study, nurses and physicians assessed medical patients hospitalized for 2 to 5 days in two tertiary hospitals in Switzerland using ID-PALL. For the criterion validity, these assessments were compared to a clinical gold standard evaluation performed by palliative care specialists. Structural validity, internal consistency and inter-rater agreement were assessed.

RESULTS

2232 patients were assessed between January and December 2018, 97% by nurses and 50% by physicians. The variances for ID-PALL G and S are explained by two factors, the first one explaining most of the variance in both cases. For ID-PALL G, sensitivity ranged between 0.80 and 0.87 and specificity between 0.56 and 0.59. ID-PALL S sensitivity ranged between 0.82 and 0.94, and specificity between 0.35 and 0.64. A cut-off value of 1 delivered the optimal values for patient identification. Cronbach's alpha was 0.78 for ID-PALL G and 0.67 for ID-PALL S. The agreement rate between nurses and physicians was 71.5% for ID-PALL G and 64.6% for ID-PALL S.

CONCLUSION

ID-PALL is a promising screening instrument allowing the early identification of patients in need of general or specialized palliative care. It can be used by nurses and physicians without a specialized palliative care training. Further testing of the finalized clinical version appears warranted.

A-qCPR risk score screening model for predicting 1-year mortality associated with hospice and palliative care in the emergency department

BACKGROUND

Evaluating the need for palliative care and predicting its mortality play important roles in the emergency department.

AIM

We developed a screening model for predicting 1-year mortality.

DESIGN

A retrospective cohort study was conducted to identify risk factors associated with 1-year mortality. Our risk scores based on these significant risk factors were then developed. Its predictive validity performance was evaluated using area under receiving operating characteristic analysis and leave-one-out cross-validation.

SETTING AND PARTICIPANTS

Patients aged 15 years or older were enrolled from June 2015 to May 2016 in the emergency department.

RESULTS

We identified five independent risk factors, each of which was assigned a number of points proportional to its estimated regression coefficient: age (0.05 points per year), qSOFA ⩾ 2 (1), Cancer (4), Eastern Cooperative Oncology Group Performance Status score ⩾ 2 (2), and Do-Not-Resuscitate status (3). The sensitivity, specificity, positive predictive value, and negative predictive value of our screening tool given the cutoff larger than 3 points were 0.99 (0.98-0.99), 0.31 (0.29-0.32), 0.26 (0.24-0.27), and 0.99 (0.98-1.00), respectively. Those with screening scores larger than 9 points corresponding to 64.0% (60.0-67.9%) of 1-year mortality were prioritized for consultation and communication. The area under the receiving operating characteristic curves for the point system was 0.84 (0.83-0.85) for the cross-validation model.

CONCLUSIONS

A-qCPR risk scores provide a good screening tool for assessing patient prognosis. Routine screening for end-of-life using this tool plays an important role in early and efficient physician-patient communications regarding hospice and palliative needs in the emergency department.

Association of advance care planning with place of death and utilisation of life-sustaining treatments in deceased patients at Taipei City Hospital in Taiwan

OBJECTIVE

Evidence is mixed regarding the impact of advance care planning (ACP) on place of death. This cohort study investigated the effect of ACP programmes on place of death and utilisation of life-sustaining treatments for patients during end-of-life (EOL) care.

METHODS

This prospective cohort study identified deceased patients between 2015 and 2016 at Taipei City Hospital. ACP was determined by patients' medical records and defined as a process to discuss patients' preferences with respect to EOL treatments and place of death. Place of death included hospital or home death. Stepwise logistic regression determined the association of ACP with place of death and utilisation of life-sustaining treatments during EOL care.

RESULTS

Of the 3196 deceased patients, the overall mean age was 78.6 years, and 46.5% of the subjects had an ACP communication with healthcare providers before death. During the study follow-up period, 166 individuals died at home, including 98 (6.59%) patients with ACP and 68 (3.98%) patients without ACP. After adjusting for sociodemographic factors and comorbidities, patients with ACP were more likely to die at home during EOL care (adjusted OR (AOR)=1.71, 95% CI 1.24 to 2.35). Moreover, patients with ACP were less likely to receive cardiopulmonary resuscitation (AOR 0.36, 95% CI 0.25 to 0.51) as well as intubation and mechanical ventilation support (AOR 0.54, 95% CI 0.44 to 0.67) during the last 3 months of life.

CONCLUSION

Patients with ACP were more likely to die at home and less likely to receive life-sustaining treatments during EOL care.

Integrating the Surprise Question, Palliative Care Screening Tool, and Clinical Risk Models to Identify Peritoneal Dialysis Patients With High One-Year Mortality

CONTEXT

Universal screening to identify vulnerable patients who may receive limited benefits from life-sustaining treatments can facilitate palliative care in dialysis populations.

OBJECTIVES

We aimed to develop prediction models for one-year mortality in peritoneal dialysis (PD) patients.

METHODS

This prospective cohort study included 401 adult Taiwanese prevalent PD patients (average age 56.2 ± 14 years). In addition to obtaining clinical characteristics and laboratory data, the primary care nurses evaluated the surprise question (SQ) and palliative care screening tool (PCST) for each patient in March 2015. Multivariate logistic regression models were conducted to predict the primary outcome of one-year all-cause mortality.

RESULTS

There were 34 (8.5%) patients who died during the first year of follow-up. Patients allocated to the not surprised group according to the SQ and those who received a score of ≥4 on the PCST had increased odds of death (odds ratio 24.68 [95% CI 10.66-57.13] and 12.18 [95% CI 5.66-26.21], respectively). We also developed a clinical risk model for one-year mortality that included sex, dialysis vintage, coronary artery disease, malignancy, normalized protein nitrogen appearance, white blood cell count, and serum albumin and sodium levels. Integrating the SQ, PCST, and clinical risk model exhibited good discrimination with an area under the receiver operating characteristic curve of 0.95. Kaplan-Meier analysis showed worse survival in high-risk patients predicted by the integrated model (log-rank P < 0.001).

CONCLUSION

Screening with the use of the integrated measurement can identify high-risk PD patients. This approach may facilitate palliative care interventions for at-risk subpopulations.

Early palliative care: the surprise question and the palliative care screening tool-better together

OBJECTIVE

The 'surprise question' (SQ) and the palliative care screening tool (PCST) are the common assessment tools in the early identification of patients requiring palliative care. However, the comparison of their prognostic accuracies has not been extensively studied. This study aimed to compare the prognostic accuracy of SQ and PCST in terms of recognising patients nearing end of life (EOL) and those appropriate for palliative care.

METHODS

This prospective study used both the SQ and PCST to predict patients' 12-month mortality and identified those appropriate for palliative care. All adult patients admitted to Taipei City Hospital in 2015 were included in this cohort study. The c-statistic value was calculated to indicate the predictive accuracies of the SQ and PCST.

RESULTS

Out of 21 109 patients, with a mean age of 62.8 years, 12.4% and 11.1% had a SQ response of 'no' and a PCST score of ≥4, respectively. After controlling for other covariates, an SQ response of 'no' and a PCST score of ≥4 were the independent predictors of 12-month mortality. The c-statistic values of the SQ and PCST at recognising patients in their last year of life were 0.680 and 0.689, respectively. When using a combination of both SQ and PCST in predicting patients' 12-month mortality risk, the predictive value of the c-statistic increased to 0.739 and was significantly higher than either one in isolation (p<0.001).

CONCLUSION

A combination of the SQ with PCST has better prognostic accuracy than either one in isolation.

An Interventional Study for the Early Identification of Patients With Palliative Care Needs and the Promotion of Advance Care Planning and Advance Directives

CONTEXT

Programs identifying patients needing palliative care and promoting advance care planning (ACP) are rare in Asia.

OBJECTIVES

This interventional cohort study aimed to identify hospitalized patients with palliative care needs using a validated palliative care screening tool (PCST), examine the ability of the PCST to predict mortality, and explore effects of a pragmatic ACP program targeted by PCST on the utilization of life-sustaining treatment during the last three months of life.

METHODS

In this prospective study, we used PCST to evaluate patients' palliative care needs between 2015 and 2016 and followed patients for three months. ACP with advance directives (ADs) was systematically offered to all patients with PCST score ≥4.

RESULTS

Of 47,153 hospitalized patients, 10.4% had PCST score ≥4. During follow-up, 2121 individuals died within three months of palliative care screening: 1225 (25.0%) with PCST score ≥4 and 896 (2.1%) with PCST score <4. After controlling for covariates, PCST score ≥4 was significantly associated with a higher mortality within three months of screening (adjusted odds ratio [AOR] 6.86; 95% CI 6.16-7.63). Moreover, ACP consultation (AOR 0.78; 95% CI 0.66-0.92) and AD completion (AOR 0.49; 95% CI 0.36-0.65) were associated with a lower likelihood of receiving life-sustaining treatments during the last three months of life.

CONCLUSION

We demonstrated the feasibility of implementing a comprehensive palliative care program to identify patients with palliative care needs and promote ACP and AD in Eastern Asia. ACP consultation and AD completion were associated with reduced utilization of life-sustaining treatments during the last three months of life.