Improved Symptom Change Enhances Quality of Dying in Patients With Advanced Cancer: An East Asian Cross-Cultural Study.

BACKGROUND: Symptom burdens tend to increase for patients with cancer and their families over the disease trajectory. There is still a lack of evidence on the associations between symptom changes and the quality of dying and death. In this context, this research investigated how symptom changes influence the quality of dying and death. METHODS: This international prospective cohort study (the East Asian Collaborative Cross-Cultural Study to Elucidate the Dying Process (EASED), 2017-2019) included 22, 11, and 4 palliative care units across Japan, South Korea, and Taiwan. Eligible participants were adults (Japan and Korea, ≥18 years; Taiwan, ≥20 years) with locally advanced or metastatic cancer. Physical and psychological symptoms were assessed by physicians upon admission and within 3 days before death. Death quality was assessed using the Good Death Scale (GDS), developed in Taiwan. Univariate and multivariate regression analyses were used to identify correlations between symptom severity changes and GDS scores. RESULTS: Among 998 patients (542 [54.3%] men and 456 [45.7%] women; mean [SD] age = 70.1 [± 12.5] years), persistent dyspnea was associated with lower GDS scores when compared to stable dyspnea (ß = -0.427, 95% CI = -0.783 to -0.071). Worsened (-1.381, -1.932 to -0.831) and persistent (-1.680, -2.701 to -0.659) delirium were also significantly associated with lower GDS scores. CONCLUSIONS: Better quality of dying and death was associated with improved symptom control, especially for dyspnea and delirium. Integrating an outcome measurement for the quality of dying and death is important in the management of symptoms across the disease trajectory in a goal-concordant manner.

Factors related to accurate clinicians' prediction of survival: an international multicenter study in East Asia.

PURPOSE: Recent guidelines for prognostic evaluation recommend clinicians' prediction of survival (CPS) for survival prediction in patients with advanced cancer. However, CPS is often inaccurate and optimistic. Studies on factors associated with overestimation or underestimation of CPS are limited. We aimed to investigate the factors associated with the overestimation and underestimation of CPS in patients with far-advanced cancer. METHODS: The current study was a secondary analysis of an international multicenter prospective cohort study, which enrolled newly admitted patients with advanced cancer in palliative care units (PCUs) in Japan, Korea, and Taiwan from 2017 to 2018. We obtained the temporal CPS at enrollment and performed multivariate logistic regression analysis to identify the factors associated with "underestimation (less than 33% of actual survival)" and "overestimation (more than 33% of actual survival)." RESULTS: A total of 2571 patients were assessed and admitted in 37 PCUs between January 2017 and September 2018. Older age (adjusted odds ratio [aOR] 1.01; 95% confidence interval [CI] 1.01-1.02; P < 0.01) and reduced oral intake (aOR 0.68; 95% CI 0.51-0.89; P < 0.01) were identified as significant factors associated with underestimation. Dyspnea (aOR 1.28; 95% CI 1.06-1.54; P = 0.01) and hyperactive delirium (aOR 1.34; 95% CI 1.05-1.72; P = 0.02) were identified as significant factors associated with overestimation. CONCLUSION: Older age was related to underestimation, while dyspnea and hyperactive delirium were related to overestimation of CPS for patients with weeks of survival. However, reduced oral intake was less likely to lead to underestimation.

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study.

BACKGROUND: An accurate prediction of mortality in end-of-life care is crucial but presents challenges. Existing prognostic tools demonstrate moderate performance in predicting survival across various time frames, primarily in in-hospital settings and single-time evaluations. However, these tools may fail to capture the individualized and diverse trajectories of patients. Limited evidence exists regarding the use of artificial intelligence (AI) and wearable devices, specifically among patients with cancer at the end of life. OBJECTIVE: This study aimed to investigate the potential of using wearable devices and AI to predict death events among patients with cancer at the end of life. Our hypothesis was that continuous monitoring through smartwatches can offer valuable insights into the progression of patients at the end of life and enable the prediction of changes in their condition, which could ultimately enhance personalized care, particularly in outpatient or home care settings. METHODS: This prospective study was conducted at the National Taiwan University Hospital. Patients diagnosed with cancer and receiving end-of-life care were invited to enroll in wards, outpatient clinics, and home-based care settings. Each participant was given a smartwatch to collect physiological data, including steps taken, heart rate, sleep time, and blood oxygen saturation. Clinical assessments were conducted weekly. The participants were followed until the end of life or up to 52 weeks. With these input features, we evaluated the prediction performance of several machine learning-based classifiers and a deep neural network in 7-day death events. We used area under the receiver operating characteristic curve (AUROC), F1-score, accuracy, and specificity as evaluation metrics. A Shapley additive explanations value analysis was performed to further explore the models with good performance. RESULTS: From September 2021 to August 2022, overall, 1657 data points were collected from 40 patients with a median survival time of 34 days, with the detection of 28 death events. Among the proposed models, extreme gradient boost (XGBoost) yielded the best result, with an AUROC of 96%, F1-score of 78.5%, accuracy of 93%, and specificity of 97% on the testing set. The Shapley additive explanations value analysis identified the average heart rate as the most important feature. Other important features included steps taken, appetite, urination status, and clinical care phase. CONCLUSIONS: We demonstrated the successful prediction of patient deaths within the next 7 days using a combination of wearable devices and AI. Our findings highlight the potential of integrating AI and wearable technology into clinical end-of-life care, offering valuable insights and supporting clinical decision-making for personalized patient care. It is important to acknowledge that our study was conducted in a relatively small cohort; thus, further research is needed to validate our approach and assess its impact on clinical care. TRIAL REGISTRATION: ClinicalTrials.gov NCT05054907; https://classic.clinicaltrials.gov/ct2/show/NCT05054907.

Association between the amount of artificial hydration and quality of dying among terminally ill patients with cancer: The East Asian Collaborative Cross-Cultural Study to Elucidate the Dying Process.

BACKGROUND: Artificial hydration (AH) is a challenging issue in terminally ill patients with cancer, because it influences patients' symptoms control, quality of life, and quality of dying (QOD). To date, it is not clear how much AH supply is proper for imminently dying patients. This study aimed to investigate the association between the amount of AH and QOD. METHODS: This study is part of the East Asian Collaborative Cross-Cultural Study to Elucidate the Dying Process (EASED) conducted in Japan, Korea, and Taiwan from January 2017 to September 2018. Patients' demographics, symptoms, and managements on admission to palliative care units (PCUs) and before death were recorded. The AH amount was classified into different groups by 250-mL intervals to compare their difference. The Good Death Scale (GDS) was used to measure QOD, with patients classified into higher or lower QOD groups using GDS = 12 as the cutoff point. We used logistic regression analysis to assess the association between AH amount and QOD. RESULTS: In total, 1530 patients were included in the analysis. Country, religion, spiritual well-being, fatigue, delirium, dyspnea, AH, and antibiotics use before death were significantly associated with QOD. After conducting regression analysis, patients administered with 250 to 499 mL AH had significantly better QOD (odds ratio, 2.251; 95% confidence interval, 1.072-4.730; P = .032) than those without AH. CONCLUSIONS: AH use impacts the QOD of terminally ill patients with cancer admitted to PCUs. Communication with patients and their families on appropriate AH use has a positive effect on QOD. LAY SUMMARY: Our prospective cross-cultural multicenter study aims to investigate the relationship between artificial hydration (AH) amount and quality of dying among terminally ill patients with cancer. The findings reveal that country, religion, spiritual well-being, fatigue, delirium, dyspnea, AH, and antibiotics use before death were significantly associated with quality of death (QOD). After multivariable logistic regression, patients administered with AH amount 250 to 499 mL had significantly better QOD (odds ratio, 2.251; 95% confidence interval, 1.072-4.730; P = .032) than those without AH. Communication with patients and their families regarding AH is recommended as it may help them be better prepared for the end-of-life stage and achieve a good death.

Natural language processing and network analysis in patients withdrawing from life-sustaining treatments: a retrospective cohort study.

BACKGROUND: Providing palliative care to patients who withdraw from life-sustaining treatments is crucial; however, delays or the absence of such services are prevalent. This study used natural language processing and network analysis to identify the role of medications as early palliative care referral triggers. METHODS: We conducted a retrospective observational study of 119 adult patients receiving specialized palliative care after endotracheal tube withdrawal in intensive care units of a Taiwan-based medical center between July 2016 and June 2018. Patients were categorized into early integration and late referral groups based on the median survival time. Using natural language processing, we analyzed free texts from electronic health records. The Palliative trigger index was also calculated for comparison, and network analysis was performed to determine the co-occurrence of terms between the two groups. RESULTS: Broad-spectrum antibiotics, antifungal agents, diuretics, and opioids had high Palliative trigger index. The most common co-occurrences in the early integration group were micafungin and voriconazole (co-correlation = 0.75). However, in the late referral group, piperacillin and penicillin were the most common co-occurrences (co-correlation = 0.843). CONCLUSION: Treatments for severe infections, chronic illnesses, and analgesics are possible triggers for specialized palliative care consultations. The Palliative trigger index and network analysis indicated the need for palliative care in patients withdrawing from life-sustaining treatments. This study recommends establishing a therapeutic control system based on computerized order entry and integrating it into a shared-decision model.

Age-dependent messenger RNA expression of toll-like receptor 4 and intercellular adhesion molecule-1 in peripheral blood mononuclear cells.

BACKGROUND: Inflammation plays an important role in the ageing process in which monocytes/macrophages are important players. Intercellular adhesion molecule-1 (ICAM-1), tumour necrosis factor-α (TNF-α) and Toll-like receptor 4 (TLR4) are well-known inflammatory markers. This study aimed to investigate the relationship between age and the expression and correlation of ICAM-1, TNF-α and TLR4 mRNA in peripheral blood mononuclear cells (PBMCs). METHODS: A total of 239 participants were recruited in a medical centre in Taiwan. The mRNA isolated from the PBMCs was used to determine the levels of ICAM-1, TNF-α and TLR4 mRNAs with real-time polymerase chain reaction (PCR). The propensity-matched analysis was also applied for subgroup analysis. RESULTS: When compared 189 older adults (≧65 years) to 50 younger adults (<65 years), the ICAM-1, TNF-α and TLR4 mRNA levels in PBMCs were significantly higher in older adults (2.00 ± 0.72 vs 0.87 ± 0.34 for ICAM-1, 2.32 ± 0.69 vs 1.15 ± 0.44 for TNF-α and 1.56 ± 0.47 vs 1.05 ± 0.51 for TLR4, and all P < .0001). Also, both age and TLR4 were independent factors affecting mononuclear cell ICAM-1 in the multiple linear regression analysis (P < .0001). CONCLUSION: The mRNA levels of ICAM-1 and TLR4 in PBMCs are higher in older adults than those in younger adults. TLR4 is an independent factor affecting ICAM-1 expression in PBMCs, especially in older adults. This may suggest that ICAM-1 and TLR4 in PBMCs are potential biomarkers and their relationship may shed some light on the ageing process.

Correlation between plasma ZAG and adiponectin in older adults: gender modification and frailty specificity.

BACKGROUND: Adiponectin and zinc alpha2-glycoprotein (ZAG) are associated with frailty. This study aims to further examine the association of adiponectin with ZAG. METHODS: Outpatients aged 65 years or older with chronic disease followed up in a hospital-based program were recruited for a comprehensive geriatric assessment. We excluded outpatients who were bedridden, residing in a nursing home, with expected life expectancy less than 6 months, or with severe hearing or communication impairment. Plasma ZAG and adiponectin levels were measured. Association between plasma ZAG and adiponectin levels was analyzed by univariate and multivariable linear regression analyses. RESULTS: A total of 189 older adults were enrolled (91 men and 98 women, mean age: 77.2 ± 6.1 years). Log-transformed plasma ZAG level was 1.82 ± 0.11 µg/mL, and it was significantly higher in men than that in women (1.85 ± 0.12 vs 1.79 ± 0.10 µg/mL, P = .0006). Log-transformed plasma adiponectin level was 1.00 ± 0.26 µg/mL, and there was no significant gender difference (P = .195). Overall, plasma ZAG level positively correlated with plasma adiponectin level in the multivariable linear regression analysis (P = .0085). The gender-specific significance, however, was less clear: this relationship was significant in men (P = .0049) but not in women (P = .2072). To be more specific by frailty phenotype components, plasma adiponectin was positively correlated with weight loss (P = .0454) and weakness (P = .0451). CONCLUSIONS: Both of ZAG and adiponectin may be potential frailty biomarkers. Plasma ZAG is an independent factor of plasma adiponectin, especially in older male adults.

Shared decision making with oncologists and palliative care specialists effectively increases the documentation of the preferences for do not resuscitate and artificial nutrition and hydration in patients with advanced cancer: a model testing study.

BACKGROUND: Communication in do not resuscitate (DNR) and artificial nutrition and hydration (ANH) at the end of life is a key component of advance care planning (ACP) which is essential for patients with advanced cancer to have cares concordant with their wishes. The SOP model (Shared decision making with Oncologists and Palliative care specialists) aimed to increase the rate of documentation on the preferences for DNR and ANH in patients with advanced cancer. METHODS: The SOP model was implemented in a national cancer treatment center in Taiwan from September 2016 to August 2018 for patients with advanced cancer visiting the oncology outpatient clinic. The framework was based on the model of shared decision making as "choice talk" initiated by oncologists with "option talk" and "decision talk" conducted by palliative care specialists. RESULTS: Among 375 eligible patients, 255 patients (68%) participated in the model testing with the mean age of 68.5 ± 14.7 years (mean ± SD). Comparing to 52.3% of DNR documentation among patients with advanced cancer who died in our hospital, the rate increased to 80.9% (206/255) after the decision talk in our model. Only 6.67% (n = 17) of the participants documented their preferences on ANH after the model. A worse Eastern Cooperative Oncology Group Performance Status was the only statistically significant associating factor with a higher rate of DNR documentation in the multiple logistic regression model. CONCLUSIONS: The SOP model significantly increased the rate of DNR documentation in patients with advanced cancer in this pilot study. Dissemination of the model could help the patients to receive care that is concordant with their wishes and be useful for the countries having laws on ACP.

Attitudes and awareness of medical assistance while traveling abroad.

BACKGROUND: With globalization, more and more people travel to countries where they are at risk of injuries and travel-related diseases. To protect travelers' health, it is crucial to understand whether travelers accurately perceive medical assistance resources before and during their trips. This study investigated the need, awareness, and previous usage of overseas emergency medical assistance services (EMAS) among people traveling abroad. METHODS: Anonymous questionnaires were distributed to patients (n = 500) at a travel clinic in Taipei, Taiwan. RESULTS: The results showed that EMAS were important, especially in the following categories: 24-h telephone medical consultation (91.8%), emergent medical repatriation (87.6%), and assistance with arranging hospital admission (87.4%). Patients were less aware of the following services: arrangement of appointments with doctors (70.7%) and monitoring of medical conditions during hospitalization (73.0%). Less than 5% of respondents had a previous experience with EMAS. CONCLUSIONS: EMAS are considered important to people who are traveling abroad. However, approximately 20-30% of travelers lack an awareness of EMAS, and the percentage of travelers who have previously received medical assistance through these services is extremely low. The discrepancy between the need and usage of EMAS emphasizes the necessity to adapt EMAS materials in pre-travel consultations to meet the needs of international travelers.

Factors Contributing to Non-Concordance Between End-of-Life Care and Advance Care Planning.

CONTEXT: Despite making do-not-resuscitate or comfort care decisions during advance care planning, terminally ill patients sometimes receive life-sustaining treatments as they approach end of life. OBJECTIVES: To examine factors contributing to nonconcordance between end-of-life care and advance care planning. METHODS: In this longitudinal retrospective cohort study, terminally ill patients with a life expectancy shorter than six months, who had previously expressed a preference for do-not-resuscitate or comfort care, were followed up after palliative shared care intervention. An instrument with eight items contributing to non-concordant care, developed through literature review and experts' consensus, was employed. An expert panel reviewed electronic medical records to determine factors associated with non-concordant care for each patient. Statistical analysis, including descriptive statistics and the chi-square test, examines demographic characteristics, and associations. RESULTS: Among the enrolled 7871 patients, 97 (1.2%) received non-concordant care. The most prevalent factor was "families being too distressed about the patient's deteriorating condition and therefore being unable to let go" (84.5%) followed by "limited understanding of medical interventions among patients and surrogates" (38.1%), and "lack of patient participation in the decision-making process" (25.8%). CONCLUSIONS: This study reveals that factors related to relational autonomy, emotional support, and health literacy may contribute to non-concordance between advance care planning and end-of-life care. In the future, developing an advance care planning model emphasizes respecting relational autonomy, providing emotional support, and enhancing health literacy could help patients receiving a goal concordant and holistic end-of-life care.

How different are accuracies of clinicians' prediction of survival by assessment methods?

BACKGROUND: No standardized method has been established for evaluating the accuracy of a clinicians' prediction of survival (CPS). Till now, no study has compared the accuracy of CPS according to the evaluation methods using the same dataset. We aimed to examine the accuracy of CPS by different statistical approaches in patients with far-advanced cancer. METHODS: The current study was a secondary analysis of an international multicenter prospective cohort study. Newly admitted patients with advanced cancer were enrolled in palliative care units (PCUs) in Japan, Korea, and Taiwan. We obtained the temporal CPS at enrollment. The patients were classified into groups of days (≤7 days) and weeks (≤30 days) based on CPS and actual survival (AS). We evaluated the accuracy of CPS by the distribution, area under the receiver operating characteristics curve (AUROCs), and an estimate ±33% of AS. RESULTS: A total of 2,571 patients were assessed and admitted in 37 PCUs between January 2017 and September 2018. As for the "days" category, the distribution of AS is larger than that of CPS, however, the results are reversed in the "weeks" category. The AUROCs showed over 80% discrimination for both the "days" and "weeks" categories. Accurate CPS within ±33% of AS was approximately 30% in both "days" and "weeks" categories. CONCLUSIONS: We showed a discrepancy of approximately 30-80% in the accuracy of CPS among three different analysis methods: distribution, AUROC, and AS comparison. Considering the low accuracy of AS comparisons, clinicians should provide a wide range of survival time. CPS was able to effectively discriminate and may be useful for risk stratification.

Shared decision making with Oncologists and Palliative care specialists (SOP) model help advanced pancreatic cancer patients reaching goal concordant care: A prospective cohort study.

BACKGROUND: Pancreatic cancer is often diagnosed at a late stage with a poor prognosis due to insidious symptoms and lack of evidence-based screening in general population. Palliative care's acceptance in Asian cultures is hindered by misconceptions and ineffective communication about management that improve quality of life other than cancer directed treatment. Our study aimed to determine the effect of the Shared decision-making with Oncologists and Palliative care specialists (SOP) model developed from the traditional shared decision-making (SDM) model on the palliative care acceptance rate and medical resource utilization. METHODS: This is a prospective cohort study implementing the SOP model at the National Taiwan University Hospital from January 2018 to December 2019 for patients with advanced pancreatic cancer. Medical resource utilization was defined and recorded as the rate of hospitalization, emergency room (ER), and intensive care unit admissions. We compared the results between two groups: patients who received the SOP model in 2019 and patients who did not receive it in 2018. RESULTS: 137 patients with advanced pancreatic cancer were included in our study. The result showed that the acceptance rate of palliative care significantly increased from 50% to 78.69% after the SOP model (p = 0.01). The hospitalization rate did not show a significant difference between 2018 (93.42%, 95% CI: 0.88-0.99) and 2019 (93.44%, 95% CI: 0.87-1.00). 83.61% (95% CI: 0.74-0.93) of our patients in 2019 had at least one ER visit; the rate was 81.5% (95% CI: 0.73-0.91) in 2018 (p = 0.28). The percentage of patients admitted to the ICU increased from 3.95% in 2018 to 8.2% (95% CI: -0.05-0.08) in 2019 (95% CI: 0.11-0.15) (p = 0.00). The hospitalization and ER visit showed no statistically difference between 2 years. CONCLUSIONS: The modified SOP model markedly augmented palliative care's acceptance of patients with advanced pancreatic cancer. Adoption of the SOP model would provide these patients a more proactive and systematic approach to deliver needed healthcare.

Family experience with difficult decisions in end-of-life care.

OBJECTIVE: The difficult decisions encountered by family caregivers in the process of care for patients with terminal cancer are seldom studied. Investigating their experiences with difficult decisions may help relieve their psychological distress. The purpose of this study was to determine the frequency and difficulty of decisions experienced in end-of-life care and to identify related factors. METHODS: A cross-sectional study using questionnaires was conducted with family caregivers of patients who died of cancer in a university hospital. Difficulty of decisions and relevant influencing variables including demographic data, knowledge in palliative care and the Natural Death Act, and beliefs on the Natural Death Act were measured. RESULTS: A total of 302 bereaved family caregivers were included in the final analysis. The most difficult decisions commonly encountered in both hospice and non-hospice wards related to truth telling, place of care, and alternative treatments. Logistic regression analysis demonstrated that older age (odds ratio = 0.92, 95% confidence interval = 0.89-0.95), not being the main family caregiver (0.20, 0.06-0.62), and less perception of burdens regarding the Natural Death Act (0.61, 0.37-0.99) were negatively correlated with the difficulty of decisions. CONCLUSIONS: Families frequently encountered difficult decisions while caring for terminally ill loved ones. Better communication with family members, particularly the main caregiver, to diminish negative perceptions of the Natural Death Act could help to decrease psychological distress.

Upregulation of cluster of differentiation 36 mRNA expression in peripheral blood mononuclear cells correlates with frailty severity in older adults.

BACKGROUND: Aging-associated frailty has been connected to low-grade chronic inflammation and also to progressive monocytic activation. CD36 (cluster of differentiation 36, platelet glycoprotein 4 or fatty acid translocase) has been shown to induce the expression of pro-inflammatory cytokines and to activate macrophage connected inflammation. This study aims to examine whether the expression of CD36 is up-regulated among frail older adults. METHODS: The demographic data, Fried Frailty Index, metabolic and inflammatory parameters of our observational study were obtained from the comprehensive geriatric assessment programme of a hospital-based outpatient department. The mRNA isolated from the peripheral blood mononuclear cells (PBMCs) was used to determine the levels of CD36, tumour necrosis factor alpha (TNF-α), and CXC chemokine ligand-10 (CXCL10) mRNAs with real-time polymerase chain reaction (PCR). RESULTS: A total of 189 older adults (58% female) were included in the analysis, and the mean age was 77.19 ± 6.12 years. The numbers of participants who fitted in the groups of robust, pre-frail, and frail were 46, 106, and 37, respectively. Our data showed that CD36 mRNA expression levels in PBMCs were the highest in the frail group (1.25 ± 0.53 in robust, 2.13 ± 1.02 in pre-frail, and 2.78 ± 1.15 in frail group, P < 0.001). Further regression analyses revealed that CD36 mRNA levels were positively correlated with both the pre-frail and frailty status in the univariate analysis (both P's < 0.001). What might suggest something worthy of further investigation is that, with potential confounders being adjusted for, CD36 remained as an independent factor that positively correlated with the pre-frail and frailty status in the multivariable analysis (P < 0.001). CONCLUSIONS: CD36 mRNA levels in PBMCs in robust older adults are significantly lower than in pre-frail and in frail. Our findings suggest that CD36 mRNA levels in PBMCs may be considered a potential biomarker for frail severity.

Pretravel preparation and factors associated with willingness to seek pretravel consultation among Taiwanese travelers.

BACKGROUND: Although globalization promotes economic development, cross-border infectious disease transmission is still a serious threat to health. Taiwan is geographically close to Southeast and South Asia, but the needs and expectations of Taiwanese travelers with regard to travel medicine are still largely unknown. This study aimed to clarify the pretravel preparations, needs, willingness to seek pretravel consultation, and factors associated with willingness, in order to provide valuable information for improvement of healthcare service. METHODS: Data were collected with anonymous structured questionnaires distributed to 477 visitors who tried to get travel health information from New Southbound Health Center between June and November 2019. A multivariate stepwise logistic regression analysis was applied to identify factors associated with the visitors' willingness to seek pretravel consultation. RESULTS: A total of 304 questionnaires (64%) were collected. Eighty-three percent of the respondents were willing to seek pretravel consultation. A higher level of education (odds ratio 3.6 [95% CI 1.58-8.22]), having a plan to obtain travel medical insurance (2.5 [1.18-5.28]), concern with gastrointestinal diseases (2.0 [1.04-3.94]), concern with mosquito-borne diseases (2.0 [2.07-3.95]), and concern with noncommunicable diseases (2.2 [1.02-4.96]) were independent factors associated with willingness to seek pretravel consultation.: CONCLUSIONS: We found that most of the travelers were willing to seek pretravel consultation. Our study highlighted the need to enhance awareness about travel-related illness among these travelers. Strategies should be tailored according to these findings to help prevent epidemics and improve healthcare service in the future.

Factors influencing the willingness of primary care physicians to provide care during the coronavirus disease pandemic: a nationwide survey in Taiwan.

OBJECTIVES: The COVID-19 pandemic continues to advance worldwide with tremendous impact on public health, economy and society. Primary healthcare is crucial in every country during the pandemic for an integrated and coordinated healthcare delivery system; hence, it is of paramount importance to maintain a sufficient frontline workforce. This study aimed to identify factors influencing the willingness of primary care physicians to provide care during the COVID-19 pandemic. DESIGN: Cross sectional study. SETTING: Nationwide survey PARTICIPANTS: Primary care physicians working in the community in Taiwan were selected using a cluster sampling method based on practice region from May to June 2020. OUTCOME MEASURES: The willingness of primary care physicians to provide care during the COVID-19 pandemic. RESULTS: This study surveyed 1000 primary care physicians nationwide, and 625 valid questionnaires were received and included in the final analysis, with an effective response rate of 62.5%. Factors significantly associated with physicians willingness to provide care during COVID-19 were 'joining the Community Healthcare Group (CHCG)' (p<0.001), 'perceived more overall benefits for providing care' (p<0.001) 'perceived less overall barriers to providing care' (p<0.001), 'higher knowledge scores about COVID-19' (p=0.049) and 'physician's major specialties' (p=0.009) in the multivariate logistic regression model. CONCLUSIONS: Building a comprehensive primary care system such as Taiwan's CHCG, training of more family physicians or general practitioners, and protecting and supporting primary care physicians were important in response to infectious disease pandemics. The findings of this study inform the development of guidelines to support and maintain the primary healthcare workforces during the COVID-19 pandemic and for future events.

Shared Decision-Making Model for Adolescent Smoking Cessation: Pilot Cohort Study.

The control of tobacco use in adolescents is a critical public health issue that has long been studied, yet has received less attention than adult smoking cessation. Shared decision making (SDM) is a method that highlights a patient's preference-based medical decision. This study aimed to investigate the effects of a novel SDM-integrated cessation model and early intervention on the control of tobacco use in adolescents. The SDM-integrated model provides psychological support and motivational enhancement by involving the participants in making decisions and plans through the three-talk model of the SDM principle. The primary outcome shows positive effects by both increasing the cessation rate (a 25% point abstinence rate at 3 month follow up) and decreasing the number of cigarettes smoked per day (60% of the participants at 3 month follow up) among 20 senior high school participants (mean age, 17.5 years; 95% male). The results also show that the model can achieve the goal of SDM and optimal informed decision making, based on the positive SURE test and the satisfaction survey regarding the cessation model. The SDM cessation model can be further applied to different fields of adolescent substance cessation, yielding beneficial effects regarding reducing potential health hazards. The dissemination of the model may help more adolescent smokers to cease smoking worldwide.

Telehealth-Based Family Conferences with Implementation of Shared Decision Making Concepts and Humanistic Communication Approach: A Mixed-Methods Prospective Cohort Study.

Smartphone-enabled, telehealth-based family conferences represent an attractive and safe alternative to deliver communication during the COVID-19 pandemic. However, some may fear that the therapeutic relationship might be filtered due to a lack of direct human contact. The study aims to explore whether shared decision-making model combining VALUE (Value family statements, Acknowledge emotions, Listen, Understand the patient as a person, Elicit questions) and PLACE (Prepare with intention, Listen intently and completely, Agree on what matters most, Connect with the patient's story, Explore emotional cues) framework can help physicians respond empathetically to emotional cues and foster human connectedness in a virtual context. Twenty-five virtual family conferences were conducted in a national medical center in Taiwan. The expression of verbal emotional distress was noted in 20% of patients and 20% of family members, while nonverbal distress was observed in 24% and 28%, respectively. On 10-point Likert scale, the satisfaction score was 8.7 ± 1.5 toward overall communication and 9.0 ± 1.1 on meeting the family's needs. Adopting SDM concepts with VALUE and PLACE approaches helps physicians foster connectedness in telehealth family conferences. The model has high participant satisfaction scores and may improve healthcare quality among the pandemic.

The Expression of Toll-Like Receptor 4 mRNA in PBMCs Is Upregulated in Smokers and Decreases Upon Smoking Cessation.

Background: Studies have shown in vitro that cigarette smoke condensate stimulates monocytes to express toll-like receptor 4 (TLR4), tumor necrosis factor-α (TNF-α), and intercellular adhesion molecule 1 (ICAM-1), and enhances their adhesion to the endothelium. However, the same effects of cigarette smoking have not been explored in vivo. This study is to investigate the effect of cigarette smoking and smoking cessation on their mRNA expression in human peripheral blood mononuclear cells (PBMCs). Methods: A group of 97 smokers and 62 nonsmokers were enrolled. The RNA from PBMCs was assessed with real-time polymerase chain reaction (PCR) to determine the levels of ICAM-1, TNF-α, and TLR4. The same markers in PBMCs of 87 quitters were examined before and at one week, one month, and two months after smoking cessation. Results: Of the 97 smokers, 85 (87.6%) were males, and 30 (48.4%) of the nonsmokers were males (p < 0.0001). The mean (SD) age of the smokers was 43.24 (10.89) years, which was younger than 43.45 (11.41) years of nonsmokers (p < 0.0001). The incidence of cardiovascular diseases was 13.4% in smokers, which was higher than 1.6% in nonsmokers (p < 0.05). Both ICAM-1 and TNF-α mRNA levels in PBMCs were higher among the smokers (p < 0.0001). In addition, TLR4 mRNA levels in PBMCs were statistically elevated in the smokers (p < 0.0001) comparing with those in the nonsmokers. The mRNA levels of TLR4 and TNF-α in PBMCs decreased in those who had quit smoking for 2 months (p < 0.0001). Conclusions: ICAM-1, TNF-α, and TLR4 mRNA expression levels in PBMCs increased in smokers and decreased after being on a smoking cessation program for 2 months. This finding suggested that TLR4 expression may mediate the atherogenic inflammatory process induced by smoking.

Approaches to text mining for analyzing treatment plan of quit smoking with free-text medical records: A PRISMA-compliant meta-analysis.

BACKGROUND: Smoking is a complex behavior associated with multiple factors such as personality, environment, genetics, and emotions. Text data are a rich source of information. However, pure text data requires substantial human resources and time to extract and apply the knowledge, resulting in many details not being discovered and used. This study proposes a novel approach that explores a text mining flow to capture the behavior of smokers quitting tobacco from their free-text medical records. More importantly, the paper examines the impact of these changes on smokers. The goal is to help smokers quit smoking. The study population included adult patients that were >20 years old of age who consulted the medical center's smoking cessation outpatient clinic from January to December 2016. A total of 246 patients visited the clinic in the study period. After excluding incomplete medical records or lost follow up, there were 141 patients included in the final analysis. There are 141 valid data points for patients who only treated once and patients with empty medical records. Two independent review authors will make the study selection based on the study eligibility criteria. Our participants are from all the patients that were involved in this study and the staff of Division of Family Medicine, National Taiwan University Hospital. Interventions and study appraisal are not required. METHODS: The paper develops an algorithm for analyzing smoking cessation treatment plans documented in free-text medical records. The approach involves the development of an information extraction flow that uses a combination of data mining techniques, including text mining. It can use not only to help others quit smoking but also for other medical records with similar data elements. The Apriori associations of our algorithm from the text mining revealed several important clinical implications for physicians during smoking cessation. For example, an apparent association between nicotine replacement therapy (NRT) and other medications such as Inderal, Rivotril, Dogmatyl, and Solaxin. Inderal and Rivotril use in patients with anxiety disorders as anxiolytics frequently. RESULTS: Finally, we find that the rules associating with NRT combination with blood tests may imply that the use of NRT combination therapy in smokers with chronic illness may result in lower abstinence. Further large-scale surveys comparing varenicline or bupropion with NRT combination in smokers with a chronic disease are warranted. The Apriori algorithm suffers from some weaknesses despite being transparent and straightforward. The main limitation is the costly wasting of time to hold a vast number of candidates sets with frequent itemsets, low minimum support, or large itemsets. CONCLUSION: In the paper, the most visible areas for the therapeutic application of text mining are the integration and transfer of advances made in basic sciences, as well as a better understanding of the processes involved in smoking cessation. Text mining may also be useful for supporting decision-making processes associated with smoking cessation. Systematic review registration number is not registered.