SupporTive Care At Home Research (STAHR) for patients with advanced cancer: Protocol for a cluster non-randomized controlled trial.

Advancements in the treatment and management of patients with cancer have extended their survival period. To honor such patients' desire to live in their own homes, home-based supportive care programs have become an important medical practice. This study aims to investigate the effects of a multidimensional and integrated home-based supportive care program on patients with advanced cancer. SupporTive Care At Home Research is a cluster non-randomized controlled trial for patients with advanced cancer. This study tests the effects of the home-based supportive care program we developed versus standard oncology care. The home-based supportive care program is based on a specialized home-based medical team approach that includes (1) initial assessment and education for patients and their family caregivers, (2) home visits by nurses, (3) biweekly regular check-ups/evaluation and management, (4) telephone communication via a daytime access line, and (5) monthly multidisciplinary team meetings. The primary outcome measure is unplanned hospitalization within 6 months following enrollment. Healthcare service use; quality of life; pain and symptom control; emotional status; satisfaction with services; end-of-life care; advance planning; family caregivers' quality of life, care burden, and preparedness for caregiving; and medical expenses will be surveyed. We plan to recruit a total of 396 patients with advanced cancer from six institutions. Patients recruited from three institutions will constitute the intervention group, whereas those recruited from the other three institutions will comprise the control group.

Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort.

This study aimed to present a new approach to predict to delirium admitted to the acute palliative care unit. To achieve this, this study employed machine learning model to predict delirium in patients in palliative care and identified the significant features that influenced the model. A multicenter, patient-based registry cohort study in South Korea between January 1, 2019, and December 31, 2020. Delirium was identified by reviewing the medical records based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The study dataset included 165 patients with delirium among 2314 patients with advanced cancer admitted to the acute palliative care unit. Seven machine learning models, including extreme gradient boosting, adaptive boosting, gradient boosting, light gradient boosting, logistic regression, support vector machine, and random forest, were evaluated to predict delirium in patients with advanced cancer admitted to the acute palliative care unit. An ensemble approach was adopted to determine the optimal model. For k-fold cross-validation, the combination of extreme gradient boosting and random forest provided the best performance, achieving the following accuracy metrics: 68.83% sensitivity, 70.85% specificity, 69.84% balanced accuracy, and 74.55% area under the receiver operating characteristic curve. The performance of the isolated testing dataset was also validated, and the machine learning model was successfully deployed on a public website ( http://ai-wm.khu.ac.kr/Delirium/ ) to provide public access to delirium prediction results in patients with advanced cancer. Furthermore, using feature importance analysis, sex was determined to be the top contributor in predicting delirium, followed by a history of delirium, chemotherapy, smoking status, alcohol consumption, and living with family. Based on a large-scale, multicenter, patient-based registry cohort, a machine learning prediction model for delirium in patients with advanced cancer was developed in South Korea. We believe that this model will assist healthcare providers in treating patients with delirium and advanced cancer.

Opioid use and subsequent delirium risk in patients with advanced cancer in palliative care: a multicenter registry study.

The prevalent use of opioids for pain management in patients with advanced cancer underscores the need for research on their neuropsychiatric impacts, particularly delirium. Therefore, we aimed to investigate the potential association between opioid use and the risk of delirium in patients with advanced cancer admitted to the acute palliative care unit. We conducted a retrospective observational study utilizing a multicenter, patient-based registry cohort by collecting the data from January 1, 2019, to December 31, 2020, in South Korea. All data regarding exposures, outcomes, and covariates were obtained through retrospective chart reviews by a team of specialized medical professionals with expertise in oncology. Full unmatched and 1:1 propensity-score matched cohorts were formed, and stratification analysis was conducted. The primary outcome, delirium, was defined and diagnosed by the DSM-IV. Of the 2,066 patients with advanced cancer, we identified 42.8% (mean [SD] age, 64.4 [13.3] years; 60.8% male) non-opioid users and 57.2% (62.8 [12.5] years; 55.9% male) opioid users, respectively. Opioid use was significantly associated with an increased occurrence of delirium in patients with advanced cancer (OR, 2.02 [95% CI 1.22-3.35]). The risk of delirium in patients with advanced cancer showed increasing trends in a dose-dependent manner. High-dose opioid users showed an increased risk of delirium in patients with advanced cancer compared to non-opioid users (low-dose user: OR, 2.21 [95% CI 1.27-3.84]; high-dose user: OR, 5.75 [95% CI 2.81-11.77]; ratio of OR, 2.60 [95% CI 1.05-6.44]). Patients with old age, male sex, absence of chemotherapy during hospitalization, and non-obese status were more susceptible to increased risk of delirium in patients with cancer. In this multicenter patient-based registry cohort study, we found a significant, dose-dependent association between opioid use and increased risk of delirium in patients with advanced cancer. We also identified specific patient groups more susceptible to delirium. These findings highlight the importance of opioid prescription in these patients with advanced cancer, balancing effective doses for pain management and adverse dose-inducing delirium.

Development of a Prediction Model for Delirium in Hospitalized Patients with Advanced Cancer.

Purpose: Delirium is a common neurocognitive disorder in patients with advanced cancer and is associated with poor clinical outcomes. As a potentially reversible phenomenon, early recognition of delirium by identifying the risk factors demands attention. To develop a model to predict the occurrence of delirium in hospitalized patients with advanced cancer. Materials and Methods: This retrospective study included patients with advanced cancer admitted to the oncology ward of four tertiary cancer centers in Korea for supportive cares and excluded those discharged due to death. The primary endpoint was occurrence of delirium. Sociodemographic characteristics, clinical characteristics, laboratory findings, and concomitant medication were investigated for associating variables. The predictive model developed using multivariate logistic regression was internally validated by bootstrapping. Results: From January 2019 to December 2020, 2,152 patients were enrolled. The median age of patients was 64 years, and 58.4% were male. A total of 127 patients (5.9%) developed delirium during hospitalization. In multivariate logistic regression, age, body mass index, hearing impairment, previous delirium history, length of hospitalization, chemotherapy during hospitalization, blood urea nitrogen and calcium levels, and concomitant anti-depressant use were significantly associated with the occurrence of delirium. The predictive model combining all four categorized variables showed the best performance among the developed models (area under the curve 0.831, sensitivity 80.3%, and specificity 72.0%). The calibration plot showed optimal agreement between predicted and actual probabilities through internal validation of the final model. Conclusion: We proposed a successful predictive model for the risk of delirium in hospitalized patients with advanced cancer.

Home-based supportive care in advanced cancer: systematic review.

OBJECTIVES: This study systematically reviewed the literature on the effect of home-based supportive care (HbSC) programmes on the quality of life (QoL) of patients with advanced cancer. METHODS: The research question 'Do home-based supportive care programmes for patients with advanced cancer improve their QoL?' was addressed. After registering the plan with PROSPERO (CRD42022341237), literature published from 1 January 1990 to 30 May 2023 was searched on PubMed, Embase, Cochrane database, CINAHL and Web of Science, and reviewed for inclusion based on predefined criteria. This review only included trial studies published in English. RESULTS: Of 5,276 articles identified, 17 studies were judged suitable for inclusion in this review. The components of HbSC programmes included home visits, patient and caregiver education, home nursing, psychotherapy, exercise, telephone consultation, and multidisciplinary team meetings. Nine studies reported improvements in QoL, including social functioning, emotional functioning, and subjective QoL. CONCLUSION: HbSC programmes appear to enable the improvement of the QoL of patients with advanced cancer. The area of QoL that shows improvement could vary depending on the HbSC components. More studies that address HbSC programmes are needed to select patients at the proper time and provide suitable programmes for patients to benefit most.

Effects of tertiary palliative care on the pattern of end-of-life care in patients with hematologic malignancies in Korea.

INTRODUCTION: Patients with hematologic malignancies (HMs) often face challenges in accessing palliative care (PC) and receiving quality end-of-life (EOL) care. We examined factors associated with referrals to tertiary PC and the effects of tertiary PC on EOL care in patients with HMs. METHOD: We included patients with HMs who were admitted to a university-affiliated hospital and died during hospitalization between January 2018 and December 2021. We investigated the receipt of PC consultations, patient characteristics, and EOL care indicators. RESULTS: Overall, 487 patients were included in the analysis, with 156 (32%) undergoing PC consultation. Sex, residence, disease status, and admission purpose were factors associated with the likelihood of PC consultation, and there has been an increasing trend in the frequency of consultations in recent cases. A higher proportion of patients who received PC completed advance statements and life-sustaining treatment documents. Patients who received PC had lower rates of aggressive EOL care, including chemotherapy and intensive care unit admission, than those who did not receive PC. Notably, PC reduced the number of blood transfusions. CONCLUSION: Tertiary PC aims to reduce aggressive EOL care through patient-centered goal-of-care discussions. Therefore, there is an imperative need for concerted efforts toward seamless integration of PC.

Consultation-Based Deprescribing Service to Optimize Palliative Care for Terminal Cancer Patients.

(1) Background: A pharmacist-led deprescribing service previously developed within the Consultation-Based Palliative Care Team (CB-PCT) was implemented for terminal cancer patients. (2) Objective: To evaluate the clinical outcomes of the developed deprescribing service for terminal cancer patients in CB-PCT. (3) Methods: A retrospective analysis compared the active care (AC) group to the historical usual care (UC) group. The clinical outcomes included the deprescribing rate of preventive medications, the proportion of patients with one or more medication-related problems (MRPs) resolved upon discharge, and the clinical significance. The implementability of the service was also gauged by the acceptance rates of pharmacists' interventions. (4) Results: Preventive medications included lipid-lowering agents, gastroprotective agents, vitamins, antihypertensives, and antidiabetic agents. The AC group revealed a higher deprescribing rate (10.4% in the UC group vs. 29.6% in the AC group, p < 0.001). At discharge, more AC patients had one or more MRPs deprescribed (39.7% vs. 2.97% in UC, p < 0.001). The clinical significance consistently had a very significant rating (mean score of 2.96 out of 4). Acceptance rates were notably higher in the AC group (30.0% vs. 78.0%. p = 0.003). (5) Conclusions: The collaborative deprescribing service in CB-PCT effectively identified and deprescribed MRPs that are clinically significant and implementable in practice.

Preferred versus Actual Place of Care and Factors Associated with Home Discharge among Korean Patients with Advanced Cancer: A Retrospective Cohort Study.

Respecting the preference for a place of care is essential for advance care planning in patients with advanced cancer. This retrospective study included adult patients with cancer referred to an inpatient palliative care consultation team at a tertiary acute care hospital in South Korea between April 2019 and December 2020. Patients' preference for place of care and demographic and clinical factors were recorded, and the actual discharge locations were categorized as home or non-home. Patients discharged home but with unintended hospital visits within 2 months were also investigated. Of the 891 patients referred to the palliative care consultation team, 210 (23.6%) preferred to be discharged home. Among them, 113 (53.8%) were discharged home. No significant differences were found between patients who preferred home discharge and those who did not. Home discharge was higher among female patients (p = 0.04) and lower in those with poor oral intake (p < 0.001) or dyspnea (p = 0.02). Of the 113 patients discharged home, 37 (32.8%) had unintended hospital visits within 2 months. Approximately one-quarter of hospitalized patients with advanced cancer preferred to be discharged home, but only half of them received the home discharge. To meet patients' preferences for end-of-life care, individual care planning considering relevant factors is necessary.

Changes in the Utilization of Health Care Services by Cancer Patients during the COVID-19 Pandemic.

PURPOSE: The first year of the COVID-19 pandemic in Korea elicited changes in healthcare service utilization. This study aimed to report changes in healthcare service utilization among cancer patients during the first year of the COVID-19 pandemic in Korea. MATERIALS AND METHODS: We analyzed records from National Health Insurance Service Database and identified cancer patients as those with specific beneficiary codes ("V193" or "V194") assigned to cancer patients. We calculated percentage changes in the number of patients between 2019 and 2020 based on claims records for outpatient clinic visits, hospitalization, and emergency room visits by month, age group, residential areas, and hospital location. RESULTS: The number of newly diagnosed cancer patients in 2020 decreased by 3.2%, compared to the previous year. The number of patients who visited an outpatient clinic, were hospitalized, and visited the emergency room decreased by 2.6%, 4.0%, and 3.5%, respectively, in 2020, compared to the year 2019. CONCLUSION: During the first year of the COVID-19 pandemic, the number of newly diagnosed cancer patients decreased by 3.2%, compared to the previous year, and their utilization of healthcare services declined significantly after the outbreak of COVID-19.

Use of high-flow nasal cannula oxygen therapy for patients with terminal cancer at the end of life.

BACKGROUND: Few studies have focused on high-flow nasal cannula (HFNC) usage in the last few weeks of life. The aim of this study was to identify the status of HFNC use in patients with cancer at the end of life and the relevant clinical factors. METHODS: We performed a retrospective cohort study in a tertiary hospital in the Republic of Korea. Among patients with cancer who died between 2018 and 2020, those who initiated HFNC within 14 days before death were included. Patients were categorized based on the time from HFNC initiation to death as imminent (<4 days) and non-imminent (≥4 days). RESULTS: Among the 2191 deceased patients with terminal cancer, 329 (15.0%) were analyzed. The median age of the patients was 66 years, and 62.9% were male. The leading cause of respiratory failure was pneumonia (70.2%), followed by pleural effusion (30.7%) and aggravation of lung neoplasms (18.8%). Most patients were conscious (79.3%) and had resting dyspnea (76.3%) at HFNC initiation. Patients received HFNC therapy for a mean of 3.4 days in the last 2 weeks of life, and 62.6% initiated it within 4 days before death. Furthermore, female sex, no palliative care consultation, no advance statements in person on life-sustaining treatment, and no resting dyspnea were independently associated with the imminent use of HFNC. CONCLUSIONS: Many patients with cancer started HFNC therapy at the point of imminent death. However, efforts toward goal-directed use of HFNC at the end-of-life stage are required.

Antibiotic prescription patterns during last days of hospitalized patients with advanced cancer: the role of palliative care consultation.

OBJECTIVES: Issues regarding antibiotic use in end-of-life patients with advanced cancer present a challenging ethical dilemma in academic referral centres. This study aimed to investigate the role of palliative care consultation on antibiotic prescription patterns among hospitalized patients with advanced cancer during their last days of life. METHODS: This retrospective cohort study included adult patients with metastatic solid cancer admitted to a tertiary referral hospital for at least 4 days and subsequently died and who were given antibiotics 4 days before death between January 2018 and December 2021. Patients were divided into palliative care consultation (PC) and non-consultation (non-PC) groups. The outcomes were the proportion of patients who received antibiotic combination treatment, antibiotic escalation and antibiotic de-escalation within 3 days of death. Propensity score analysis with the inverse probability of the treatment weighting method was used to compare the outcomes. RESULTS: Among the 1177 patients enrolled, 476 (40.4%) received palliative care consultation and 701 (59.6%) did not. The PC group received considerably less antibiotic combination treatment (49.0% versus 61.1%, adjusted OR: 0.69, 95% CI: 0.53-0.90, P = 0.006) and antibiotic escalation (15.8% versus 34.8%, adjusted OR: 0.41, 95% CI: 0.30-0.57, P < 0.001) than the non-PC group. Additionally, the PC group reported significantly higher antibiotic de-escalation (30.7% versus 17.4%, adjusted OR: 1.74, 95% CI: 1.28-2.36, P < 0.001). CONCLUSION: Receiving palliative care consultation may minimize aggressive antibiotic prescription patterns in the last days of patients with advanced cancer in an academic referral centre setting.

Potentially inappropriate medication use based on two deprescribing criteria and related factors in patients with terminal cancer: A cross-sectional study.

INTRODUCTION: We aimed to estimate the nationwide prevalence of potentially inappropriate medication (PIM) use in patients with terminal cancer according to two deprescribing criteria for patients with a limited lifespan. MATERIALS AND METHODS: This cross-sectional study evaluated the prevalence of PIM use using two datasets: national claims data and single-tertiary hospital data. In the claims data, patients with terminal cancer were defined as patients with cancers who died between April and June 2018 and were prescribed opioid analgesics or megestrol or were hospitalized for >90 days before the date of death. Using hospital data, patients who were enrolled in hospice care in 2019 were identified. PIM was defined according to the adjusted criteria from the Screening Tool for Older Persons' Prescriptions in frail adults with limited life expectancy (STOPPFrail) versions 1 and 2 and oncological palliative care deprescribing guidelines (OncPal) guidelines. RESULTS: From the national claims data and single-tertiary hospital data, 1,558 patients and 1,243 patients were included in the analysis, respectively. In both datasets, over 60% of patients used five or more medications (claims data: 67.7%; hospital data: 63.9%), and approximately half of them used at least one PIM (claims data: 51.5%; hospital data: 43.2%). Lipid-lowering agents, acid suppressors, and hypoglycemics were common PIMs. Polypharmacy, age, and comorbid conditions, including diabetes, were associated with PIM use. DISCUSSION: Approximately two-thirds and half of the patients with terminal cancer were exposed to polypharmacy and at least one PIM based on the STOPPFrail and OncPal criteria, respectively; therefore, deprescribing PIM in patients with terminal cancer is an urgent issue.

The impact of palliative care consultation on reducing antibiotic overuse in hospitalized patients with terminal cancer at the end of life: a propensity score-weighting study.

OBJECTIVES: A substantial number of hospitalized patients with terminal cancer at the end-of-life phase receive antibiotics, even with imminent death. We evaluated the impact of palliative care consultation on antibiotic use in hospitalized patients with terminal cancer during the end-of-life phase. METHODS: We identified adult patients with metastatic solid cancer who died at a tertiary medical centre in Seoul, Republic of Korea, following at least 4 days of hospitalization (January 2018-December 2020). Patients were divided into palliative and non-palliative care consultation groups. Propensity score-weighted, multivariable logistic regression analysis was used to compare the proportion of patients receiving antibiotics within 3 days before death between the two groups. RESULTS: Among 1143 patients analysed, 940 (82.2%) received antibiotics within 3 days before death. The proportion of patients receiving antibiotics was significantly lower (propensity score-weighted P < 0.001) in the palliative care consultation group (344/468; 73.5%) than in the non-palliative care consultation group (596/675; 88.3%). The decrease in the proportion of patients receiving antibiotics in the palliative care consultation group was significant for a carbapenem (42.4% versus 22.4%; P < 0.001), a glycopeptide (23.3% versus 11.1%; P < 0.001) and a quinolone (30.5% versus 19.4%; P = 0.012). In the multivariable logistic regression analysis, receiving palliative care consultation (adjusted OR 0.46, 95% CI 0.33-0.65; P < 0.001) was independently associated with reduced antibiotic use during the end-of-life phase. CONCLUSIONS: Palliative care consultation may reduce aggressive antibiotic use in hospitalized patients with terminal cancer during the end-of-life phase.

The Medical Needs and Characteristics of Cancer and Progressive Neurologic Disease Patients Who Use Home-Based Medical Care in Korea: A Retrospective Study for 2011-2020.

OBJECTIVES: To investigate the needs and characteristics of patients with cancer and neurologic disorders requiring home-based medical care (HBMC). DESIGN: Retrospective observational study. SETTING AND PARTICIPANTS: Patients receiving HBMC on discharge from a tertiary hospital in Korea during 2011-2020. METHODS: Patients were classified into 3 disease groups: cancer, progressive neurologic disorders (NR), and others. Characteristics and medical needs were assessed in each disease group. Medical needs were categorized based on functional items requiring support or management at the time of registration: respiratory, feeding, urinary system, drain tube, central catheter, wound, medication, and other. Patients with multiple medical needs were assigned to multiple categories. Patients who used HBMC for more than 3 months were defined as long-term users; their characteristics were evaluated in the same way. RESULTS: Of the total 655 patients, 47.0% (308) had cancer and 17.3% (113) were NR patients. Among all patients, 78.8% were partially dependent (44.0%) or completely dependent (34.8%) in daily activities, and there were more dependent patients in the NR group (80.5%) than cancer (26.6%). Patients with cancer needed central catheter management the most (43.5%), followed by wound care (36.7%), feeding support (35.1%), and drain tube management (22.1%). NR patients required feeding support the most (80.5%), followed by respiratory support (43.4%), wound care (41.6%), and urinary system support (19.5%). Of all patients, 30.2% (198) were long-term users (NR, 37.9%; cancer, 35.4%). Long-term users were common among patients who needed respiratory support (59.4%), feeding support (48.75), and urinary system support (34.6%). CONCLUSIONS AND IMPLICATIONS: Homebound patients with cancer and progressive neurologic disorders need medical services at home after discharge. Patients who need feeding and respiratory support usually use HBMC for more than 3 months. Further studies are needed to design an optimal HBMC that continuously provides medical services to patients with serious illnesses living at home.

Aggressiveness of care in the last days of life in the emergency department of a tertiary hospital in Korea.

BACKGROUND: High-quality end-of-life (EOL) care requires both comfort care and the maintenance of dignity. However, delivering EOL in the emergency department (ED) is often challenging. Therefore, we aimed to investigate characteristics of EOL care for dying patients in the ED. METHODS: We conducted a retrospective cohort study of patients who died of disease in the ED at a tertiary hospital in Korea between January 2018 and December 2020. We examined medical care within the last 24 h of life and advance care planning (ACP) status. RESULTS: Of all 222 disease-related mortalities, 140 (63.1%) were men, while 141 (63.5%) had cancer. The median age was 74 years. As for critical care, 61 (27.5%) patients received cardiopulmonary resuscitation, while 80 (36.0%) received mechanical ventilation. The absence of serious illness (p = 0.011) and the lack of an advance statement (p < 0.001) were both independently associated with the receipt of more critical care. Only 70 (31.5%) patients received comfort care through opioids. Younger patients (< 75 years) (p = 0.002) and those who completed life-sustaining treatment legal forms (p = 0.001) received more comfort care. While EOL discussions were initiated in 150 (67.6%) cases, the palliative care team was involved only in 29 (13.1%). CONCLUSIONS: Patients in the ED underwent more aggressive care and less comfort care in a state of imminent death. To ensure better EOL care, physicians should minimize redundant evaluations and promptly introduce ACP.

The impact of COVID-19 on screening for colorectal, gastric, breast, and cervical cancer in Korea.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has affected the utilization of healthcare services, including participation in cancer screening programs. We compared cancer screening participation rates for colorectal, gastric, breast, and cervical cancers among participants in the National Cancer Screening Program (NCSP) in 2019 and 2020 to address the potential distraction effect of COVID-19 on cancer screening. METHODS: Data from the NCSP for 4 cancer types (stomach, colorectal, breast, and cervical) in 2019 and 2020 were used to calculate cancer screening participation rates by calendar month, gender, age group, and geographical region. Monthly participation rates were analyzed per 1,000 eligible individuals. RESULTS: The screening participation rate decreased in 2020 compared to 2019 for all 4 cancers: colorectal (40.5 vs. 35.3%), gastric (61.9 vs. 54.6%), breast (63.8 vs. 55.8%), and cervical (57.8 vs. 52.2%) cancers. Following 2 major COVID-19 waves in March and December 2020, the participation rates in the 4 types of cancer screening dropped compared with those in 2019. The highest decline was observed in the elderly population aged 80 years and older (percentage change: -21% for colorectal cancer; -20% for gastric cancer; -26% for breast cancer; -20% for cervical cancer). CONCLUSIONS: After the 2 major COVID-19 waves, the screening participation rate for 4 types of cancer declined compared with 2019. Further studies are needed to identify the indirect effects of the COVID-19 pandemic on cancer patients, such as delayed diagnoses of cancer or excess cancer deaths.

The impact of COVID-19 on cancer care in a tertiary hospital in Korea: possible collateral damage to emergency care.

OBJECTIVES: We investigated the impact of the COVID-19 pandemic on cancer care in a tertiary hospital in Korea without specific lockdown measures. METHODS: A retrospective cohort of cancer patients from one of the largest tertiary hospitals in Korea was used to compare healthcare utilization in different settings (outpatient cancer clinic, the emergency department [ED], and admissions to the hematology/oncology ward) between January 1 and December 31, 2020 and the same time period in 2019. The percent changes in healthcare utilization between the 2 periods were calculated. RESULTS: A total of 448,833 cases from the outpatient cohort, 26,781 cases from the ED cohort, and 14,513 cases from the admission cohort were reviewed for 2019 and 2020. The total number of ED visit cases significantly decreased from 2019 to 2020 by 18.04%, whereas the proportion of cancer patients remained stable. The reduction in ED visits was more prominent in patients with symptoms suspicious for COVID-19, high-acuity cases, and those who lived in non-capital city areas. There were no significant changes in the number of total visits, new cases in the outpatient clinic, or the total number of hospitalizations between the 2 periods. CONCLUSIONS: During the pandemic, the number of ED visits significantly decreased, while the use of the outpatient clinic and hospitalizations were not affected. Cancer patients' ED visits decreased after the COVID-19 outbreak, suggesting the potential for collateral damage outside the hospital if patients cannot reach the ED in a timely manner.

Analysis of Cancer Patient Decision-Making and Health Service Utilization after Enforcement of the Life-Sustaining Treatment Decision-Making Act in Korea.

PURPOSE: This study aimed to confirm the decision-making patterns for life-sustaining treatment (LST) and analyze medical service utilization changes after enforcement of the Life-Sustaining Treatment Decision-Making Act. MATERIALS AND METHODS: Of 1,237 patients who completed legal forms for life-sustaining treatment (hereafter called the LST form) at three academic hospitals and died at the same institutions, 1,018 cancer patients were included. Medical service utilization and costs were analyzed using claims data. RESULTS: The median time to death from completion of the LST form was three days (range, 0 to 248 days). Of these, 517 people died within two days of completing the document, and 36.1% of all patients prepared the LST form themselves. The frequency of use of the intensive care unit, continuous renal replacement therapy, and mechanical ventilation was significantly higher when the families filled out the form without knowing the patient's intention. In the top 10% of the medical expense groups, the decision-makers for LST were family members rather than patients (28% patients vs. 32% family members who knew and 40% family members who did not know the patient's intention). CONCLUSION: The cancer patient's own decision-making rather than the family's decision was associated with earlier decision-making, less use of some critical treatments (except chemotherapy) and expensive evaluations, and a trend toward lower medical costs.

Impact of COVID-19 on the End-of-Life Care of Cancer Patients Who Died in a Korean Tertiary Hospital: A Retrospective Study.

Purpose: Social distancing and strict visitor restrictions at hospitals have been national policies since the onset of the coronavirus disease 2019 (COVID-19) pandemic. This has challenged the concept of a good death in comfort with the opportunity to say goodbye. Little is known about how these measures have influenced end-of-life (EOL) care among cancer patients who die in acute care hospitals. This study examined changes in the EOL care of cancer patients during the COVID-19 pandemic. Methods: We retrospectively analyzed 1,456 adult cancer patients who died in 2019 (n=752) and 2020 (n=704) at a tertiary hospital. Data on EOL care-symptom control and comfort care in an imminently dying state, preparation for death, place of death, and aggressive care in the last month-were reviewed. Results: The 1,456 patients had a median age of 67 years, and 62.5% were men. Patients who died in 2020 were more likely to experience agitation or delirium before death (17.2% vs. 10.9%), to use inotropes/vasopressors near death (59.2% vs. 52.3%), and to receive cardiopulmonary resuscitation in their last months (16.3% vs. 12.5%) than those who died in 2019. Additionally, the number of deaths in the emergency room doubled in 2020 compared to 2019 (from 7.1% to 14.1%). Conclusion: This study suggests that EOL care for cancer patients who died in a tertiary hospital deteriorated during the COVID-19 pandemic. The implementation of medical care at the EOL and the preferred place of death should be discussed carefully in advance for high-quality EOL care.