Perceptions of Life Support and Advance Care Planning During the COVID-19 Pandemic

Acceptance of advance care planning among older adults in Mainland China: a national cross-sectional study

BACKGROUND

Acceptance of advance care planning (ACP) among older adults is important for the promotion of ACP. It is of great importance to explore the acceptance of ACP and associated influencing factors among older adults in China based on the health ecology model (HEM).

METHODS

Based on a national cross-sectional study in 2022, 4,180 older adults were included. Stepwise linear regression was used to analyze factors associated with acceptance of ACP using SPSS 26.0, based on the HEM. Acceptance scores were calculated based on a self-assessment visual analog scale (range, 0 ~ 100, with higher scores indicating higher acceptance of ACP).

RESULTS

50.05% (2,092) of 4,180 participants were female. The median acceptance of ACP score was 64, and the range was (49, 81). In addition, the study found higher well-being index (β = 0.086; 95% CI, 0.199 to 0.535; P < 0.001) and health literacy (β = 0.054; 95% CI, 0.07 to 0.423; P = 0.006) scores, broader media use behaviors (β = 0.064; 95% CI, 0.127 to 0.419; P < 0.001), and a higher per capita monthly household income (β = 0.086; 95% CI, 1.827 to 3.825; P < 0.001) were associated with a higher acceptance of ACP, while participants with higher depression scores (β = -0.06; 95% CI, -0.435 to -0.129; P < 0.001), larger social network (β = -0.054; 95% CI, -3.289 to -0.937; P < 0.001), and health insurance (β = -0.04; 95% CI, -7.294 to -1.027; P = 0.008) demonstrated a lower acceptance of ACP.

CONCLUSIONS

For the first time, this study revealed basic personal information, economic status, media use, social networks, health knowledge, and mental health as the main factors associated with acceptance of ACP among older adults in mainland China. These findings were of great significant for enhancing healthcare quality and the overall quality of life for older adults in China.

The Utilization of Natural Language Processing for Analyzing Social Media Data in Nursing Research: A Scoping Review

Aim: This scoping review aimed to identify and synthesize the evidence in existing nursing studies that used natural language processing to analyze social media data, and the relevant procedures, techniques, tools, and ethical issues. Background: Social media has widely integrated into both everyday life and the nursing profession, resulting in the accumulation of extensive nursing-related social media data. The analysis of such data facilitates the generation of evidence thereby aiding in the formation of better policies. Natural language processing has emerged as a promising methodology for analyzing social media data in the field of nursing. However, the extent of natural language processing applications in analyzing nursing-related social media data remains unknown. Evaluation: A scoping review was conducted. PubMed, CINAHL, Web of Science and IEEE Xplore were searched. Studies were screened based on inclusion criteria. Relevant data were extracted and summarized using a descriptive approach. Key Issues: In total, 38 studies were included for the final analysis. Topic modeling and sentiment analysis were the most frequently employed natural language processing techniques. The most used topic modeling algorithm was latent Dirichlet allocation. The dictionary-based approach was the most utilized sentiment analysis approach, and the National Research Council Sentiment and Emotion Lexicons was the most used sentiment dictionary. Natural language processing tools such as Python (NLTK, Jieba, spaCy, and KoNLP library) and R (LDAvis, Jaccard, ldatuning, and SentiWordNet packages) were documented. A significant proportion of the included studies did not obtain ethical approval and did not conduct data anonymization on social media users' information. Conclusion: This scoping review summarized the extent of natural language processing techniques adoption in nursing and relevant procedures and tools, offering valuable resources for researchers who are interested in discovering knowledge from social media data. The study also highlighted that the application of natural language processing for analyzing nursing-related social media data is still emerging, indicating opportunities for future methodological improvements. Implications for Nursing Management: There is a need for a standardized management framework for conducting and reporting studies using natural language processing techniques in the analysis of nursing-related social media data. The findings could inform the development of regulatory policies by nursing authorities.

Social media for palliative and end-of-life care research: a systematic review

BACKGROUND

Social media with real-time content and a wide-reaching user network opens up more possibilities for palliative and end-of-life care (PEoLC) researchers who have begun to embrace it as a complementary research tool. This review aims to identify the uses of social media in PEoLC studies and to examine the ethical considerations and data collection approaches raised by this research approach.

METHODS

Nine online databases were searched for PEoLC research using social media published before December 2022. Thematic analysis and narrative synthesis approach were used to categorise social media applications.

RESULTS

21 studies were included. 16 studies used social media to conduct secondary analysis and five studies used social media as a platform for information sharing. Ethical considerations relevant to social media studies varied while 15 studies discussed ethical considerations, only 6 studies obtained ethical approval and 5 studies confirmed participant consent. Among studies that used social media data, most of them manually collected social media data, and other studies relied on Twitter application programming interface or third-party analytical tools. A total of 1 520 329 posts, 325 videos and 33 articles related to PEoLC from 2008 to 2022 were collected and analysed.

CONCLUSIONS

Social media has emerged as a promising complementary research tool with demonstrated feasibility in various applications. However, we identified the absence of standardised ethical handling and data collection approaches which pose an ongoing challenge. We provided practical recommendations to bridge these pressing gaps for researchers wishing to use social media in future PEoLC-related studies.

Epidemiology and outcomes of previously healthy critically ill patients with COVID-19: A population-based cohort

Comorbid conditions represent a major risk for severe illness among persons with COVID-19. Previously healthy people with COVID-19 can also develop severe illness, but are expected to have better outcomes than those with comorbid conditions. Nevertheless, recent data suggest that the former may have, counterintuitively, higher risk of death among those with non-COVID sepsis. However, the epidemiology and outcomes of previously healthy people among critically ill patients with COVID-19 are unknown. We used statewide data to identify intensive care unit (ICU) admissions aged ≥18 years in Texas with COVID-19 in 2020. Multilevel logistic regression was used to estimate the association of comorbid state with short-term mortality (defined as in-hospital mortality or discharge to hospice) overall and with higher illness severity among ICU admissions. Among 52,776 ICU admissions with COVID-19, 6373 (12.1%) were previously healthy. Short-term mortality among previously healthy ICU admissions and those with comorbidities was 16.9% versus 34.6%. On adjusted analyses, the odds of short-term mortality were lower among the previously healthy compared to those with comorbidities overall (adjusted odds ratio (aOR) 0.84 (95% CI: 0.73-0.98)), but did not differ among those with ≥3 organ dysfunctions (aOR 1.11 (95% CI: 0.84-1.46)) and the mechanically ventilated (aOR 0.87 (95% CI: 0.68-1.12)), while being higher among those with do-not-resuscitate status (aOR 1.40 (95% CI: 1.04-1.89)). Over one in eight ICU admissions with COVID-19 were previously healthy. Although being previously healthy was associated with lower risk of death compared to those with comorbidities overall, it had no prognostic advantage among the more severely ill.

The informal discussion of advance care planning among Chinese older adults: Do education and social media use matter?

This study aimed to examine and compare the associations between education, social media use, and advance care planning (ACP) discussion among Chinese older adults in mainland China (Wuhan), Taiwan (Taichung), and the United States (Honolulu). Community-dwelling older adults (≥ 55) were recruited from 2017 to 2018. The ACP discussion rate in Wuhan, Taichung, and Honolulu were 15.2 %, 19.2 %, and 31.3 %, respectively. Logistic regression models revealed that education was positively associated with ACP discussion in Taichung and Honolulu. Social media use was positively associated with ACP discussions in Wuhan and Honolulu, and it attenuated the association between education and ACP discussion in Honolulu. The present study contributes to previous studies by comparing the associations between education, social media use, and ACP discussion in different settings within the same ethnicity. Policy and practice implications were also discussed.

Disparities in Palliative Care Among Critically Ill Patients With and Without COVID-19 at the End of Life: A Population-Based Analysis

Background

The surge in critical illness and associated mortality brought by the coronavirus virus disease 2019 (COVID-19) pandemic, coupled with staff shortages and restrictions of family visitation, may have adversely affected delivery of palliative measures, including at the end of life of affected patients. However, the population-level patterns of palliative care (PC) utilization among septic critically ill patients with and without COVID-19 during end-of-life hospitalizations are unknown.

Methods

A statewide dataset was used to identify patients aged ≥ 18 years with intensive care unit (ICU) admission and a diagnosis of sepsis in Texas, who died during hospital stay during April 1 to December 31, 2020. COVID-19 was defined by the International Classification of Diseases, 10th Revision (ICD-10) code U07.1, and PC was identified by ICD-10 code Z51.5. Multivariable logistic models were fitted to estimate the association of COVID-19 with use of PC among ICU admissions. A similar approach was used for sensitivity analyses of strata with previously reported lower and higher than reference use of PC.

Results

There were 20,244 patients with sepsis admitted to ICU during terminal hospitalization, and 9,206 (45.5%) had COVID-19. The frequency of PC among patients with and without COVID-19 was 32.0% vs. 37.1%, respectively. On adjusted analysis, the odds of PC use remained lower among patients with COVID-19 (adjusted odds ratio (aOR): 0.84, 95% confidence interval (CI): 0.78 - 0.90), with similar findings on sensitivity analyses.

Conclusions

PC was markedly less common among critically ill septic patients with COVID-19 during terminal hospitalization, compared to those without COVID-19. Further studies are needed to determine the factors underlying these findings in order to reduce disparities in use of PC.

Early Integrated Palliative Care Within a Surgical Oncology Clinic

Importance

Advance directive (AD) designation is an important component of advance care planning (ACP) that helps align care with patient goals. However, it is underutilized in high-risk surgical patients with cancer, and multiple barriers contribute to the low AD designation rates in this population.

Objective

To assess the association of early palliative care integration with changes in AD designation among patients with cancer who underwent surgery.

Design, Setting, and Participants

This cohort study was a retrospective analysis of a prospectively maintained registry of adult patients who underwent elective surgery for advanced abdominal and soft tissue malignant tumors at a surgical oncology clinic in a comprehensive cancer center with expertise in regional therapeutics between June 2016 and May 2022, with a median (IQR) postoperative follow-up duration of 27 (15-43) months. Data analysis was conducted from December 2022 to April 2023.

Exposure

Integration of ACP recommendations and early palliative care consultations into the surgical workflow in 2020 using electronic health records (EHR), preoperative checklists, and resident education.

Main Outcomes and Measures

The primary outcomes were AD designation and documentation. Multivariable logistic regression was performed to assess factors associated with AD designation and documentation.

Results

Among the 326 patients (median [IQR] age 59 [51-67] years; 189 female patients [58.0%]; 243 non-Hispanic White patients [77.9%]) who underwent surgery, 254 patients (77.9%) designated ADs. The designation rate increased from 72.0% (131 of 182 patients) before workflow integration to 85.4% (123 of 144 patients) after workflow integration in 2020 (P = .004). The AD documentation rate did not increase significantly after workflow integration in 2020 (48.9% [89 of 182] ADs documented vs 56.3% [81 of 144] ADs documented; P = .19). AD designation was associated with palliative care consultation (odds ratio [OR], 41.48; 95% CI, 9.59-179.43; P < .001), palliative-intent treatment (OR, 5.12; 95% CI, 1.32-19.89; P = .02), highest age quartile (OR, 3.79; 95% CI, 1.32-10.89; P = .01), and workflow integration (OR, 2.05; 95% CI, 1.01-4.18; P = .048). Patients who self-identified as a race or ethnicity other than non-Hispanic White were less likely to have designated ADs (OR, 0.36; 95% CI, 0.17-0.76; P = .008). AD documentation was associated with palliative care consulation (OR, 4.17; 95% CI, 2.57- 6.77; P < .001) and the highest age quartile (OR, 2.41; 95% CI, 1.21-4.79; P = .01).

Conclusions and Relevance

An integrated ACP initiative was associated with increased AD designation rates among patients with advanced cancer who underwent surgery. These findings demonstrate the feasibility and importance of modifying clinical pathways, integrating EHR-based interventions, and cohabiting palliative care physicians in the surgical workflow for patients with advanced care.

Examining Public Communication About Surgical Cancer Care on Twitter

INTRODUCTION

Social media platforms like Twitter are highly utilized for communicating about cancer care. Although surgery is the primary curative treatment for solid malignancies, little is known about online communication behaviors regarding this treatment modality. This study tracked online discussions and characterized participants to better characterize the content of public communication about surgical cancer care.

METHODS

Tweets referencing cancer surgery were collected from 2018 to 2021 using Twitter's Application Programming Interface. Metadata (e.g., profile biography, follower count) was used to predict user demographic information. Natural language processing was performed using Latent Dirichlet Allocation to identify common themes of conversation and mentioned cancer sites.

RESULTS

There were 442,840 tweets about cancer surgery by 262,168 users, including individuals (65%), influencers (1.5%), surgeons (1%), and oncologists (0.5%). Following the onset of the COVID-19 pandemic, tweets mentioning delays in care increased by 21.7% (1971-57,846 tweets). Individuals commonly mentioned surgical costs (20.3%) and postoperative recovery (21.6%). Surgeons and oncologists frequently mentioned research (52.7%), but infrequently mentioned community support (7.8%) or survivorship (9.3%). Relative to their prevalence, neurologic cancers were most discussed (231 tweets per 1000 operations) while thoracic (29 tweets per 1000 operations) and urologic cancers were least discussed (12 tweets per 1000 operations).

CONCLUSIONS

Twitter was utilized by patients to discuss real-time issues such as COVID-19-related surgical delays and the financial burden of cancer surgery. Further efforts to improve community outreach may be optimized by targeting greater discussion of undermentioned cancer types and encouraging clinicians to participate in discussions about community-centered themes.

Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data

BACKGROUND

Twitter has become a popular platform for individuals to broadcast their daily experiences and opinions on a wide range of topics and emotions. Tweets from patients with cancer could offer insights into their needs. However, limited research has been conducted using Twitter data to understand the needs of patients with cancer despite the substantial amount of health-related data posted on the platform daily.

OBJECTIVE

This study aimed to uncover the potential of using Twitter data to understand the perspectives and experiences of patients with thyroid cancer at a global level.

METHODS

 This retrospective descriptive study collected tweets relevant to thyroid cancer in 2020 using the Twitter scraping tool. Only English-language tweets were included, and data preprocessing was performed to remove irrelevant tweets, duplicates, and retweets. Both tweets and Twitter users were manually classified into various groups based on the content. Each tweet underwent sentiment analysis and was classified as either positive, neutral, or negative.

RESULTS

A total of 13,135 tweets related to thyroid cancer were analyzed. The authors of the tweets included patients with thyroid cancer (3225 tweets, 24.6%), patient's families and friends (2449 tweets, 18.6%), medical journals and media (1733 tweets, 13.2%), health care professionals (1093 tweets, 8.3%), and medical health organizations (940 tweets, 7.2%), respectively. The most discussed topics related to living with cancer (3650 tweets, 27.8%), treatment (2891 tweets, 22%), diagnosis (1613 tweets, 12.3%), risk factors and prevention (1137 tweets, 8.7%), and research (953 tweets, 7.3%). An average of 36 tweets pertaining to thyroid cancer were posted daily. Notably, the release of a film addressing thyroid cancer and the public disclosure of a news reporter's personal diagnosis of thyroid cancer resulted in a significant escalation in the volume of tweets. From the sentiment analysis, 53.5% (7025/13,135) of tweets were classified as neutral statements and 32.7% (4299/13,135) of tweets expressed negative emotions. Tweets from patients with thyroid cancer had the highest proportion of negative emotion (1385/3225 tweets, 42.9%), particularly when discussing symptoms.

CONCLUSIONS

 This study provides new insights on using Twitter data as a valuable data source to understand the experiences of patients with thyroid cancer. Twitter may provide an opportunity to improve patient and physician engagement or apply as a potential research data source.

Standardized High-Quality Processes for End-of-Life-Decision Making in the Intensive Care Unit Remain Robust during an Unprecedented New Pandemic-A Single-Center Experience

Due to the global COVID-19 pandemic, a concomitant increase in awareness for end-of-life decisions (EOLDs) and advance care planning has been noted. Whether the dynamic pandemic situation impacted EOLD-processes on the intensive care unit (ICU) and patient-sided advance care planning in Germany is unknown. This is a retrospective analysis of all deceased patients of surgical ICUs of a university medical center from March 2020 to July 2021. All included ICUs had established standardized protocols and documentation for EOLD-related aspects of ICU therapy. The frequency of EOLDs and advance directives and the process of EOLDs were analyzed (No. of ethical approval EA2/308/20). A total number of 319 (85.5%) of all deceased patients received an EOLD. Advance directives were possessed by 83 (22.3%) of the patients and a precautionary power of attorney by 92 (24.7%) of the patients. There was no difference in the frequency of EOLDs and patient-sided advance care planning between patients with COVID-19 and non-COVID-19 patients. In addition, no differences in frequencies of do-not-resuscitate orders, withholding or withdrawing of intensive care medicine therapeutic approaches, timing of EOLDs, and participation of senior ICU attendings in EOLDs were noted between patients with COVID-19 and non-COVID-19 patients. Documentation of family conferences occurred more often in deceased patients with COVID-19 compared to non-COVID-19 patients (COVID-19: 80.0% vs. non-COVID-19: 56.8, p = 0.001). Frequency of EOLDs and completion rates of advance directives remained unchanged during the pandemic compared to pre-pandemic years. The EOLD process did not differ between patients with COVID-19 and non-COVID-19 patients. Institutional standard procedures might contribute to support the robustness of EOLD-making processes during unprecedented medical emergencies, such as new pandemic diseases.