Perioperative Cancer Care in the Context of Limited Resources during the COVID-19 Pandemic: Brazilian Society of Surgical Oncology Recommendations

Impact Analysis of COVID-19 Pandemic on Hospital Reviews on Dianping Website in Shanghai, China: Empirical Study

BACKGROUND

In the era of the internet, individuals have increasingly accustomed themselves to gathering necessary information and expressing their opinions on public web-based platforms. The health care sector is no exception, as these comments, to a certain extent, influence people's health care decisions. During the onset of the COVID-19 pandemic, how the medical experience of Chinese patients and their evaluations of hospitals have changed remains to be studied. Therefore, we plan to collect patient medical visit data from the internet to reflect the current status of medical relationships under specific circumstances.

OBJECTIVE

This study aims to explore the differences in patient comments across various stages (during, before, and after) of the COVID-19 pandemic, as well as among different types of hospitals (children's hospitals, maternity hospitals, and tumor hospitals). Additionally, by leveraging ChatGPT (OpenAI), the study categorizes the elements of negative hospital evaluations. An analysis is conducted on the acquired data, and potential solutions that could improve patient satisfaction are proposed. This study is intended to assist hospital managers in providing a better experience for patients who are seeking care amid an emergent public health crisis.

METHODS

Selecting the top 50 comprehensive hospitals nationwide and the top specialized hospitals (children's hospitals, tumor hospitals, and maternity hospitals), we collected patient reviews from these hospitals on the Dianping website. Using ChatGPT, we classified the content of negative reviews. Additionally, we conducted statistical analysis using SPSS (IBM Corp) to examine the scoring and composition of negative evaluations.

RESULTS

A total of 30,317 pieces of effective comment information were collected from January 1, 2018, to August 15, 2023, including 7696 pieces of negative comment information. Manual inspection results indicated that ChatGPT had an accuracy rate of 92.05%. The F1-score was 0.914. The analysis of this data revealed a significant correlation between the comments and ratings received by hospitals during the pandemic. Overall, there was a significant increase in average comment scores during the outbreak (P<.001). Furthermore, there were notable differences in the composition of negative comments among different types of hospitals (P<.001). Children's hospitals received sensitive feedback regarding waiting times and treatment effectiveness, while patients at maternity hospitals showed a greater concern for the attitude of health care providers. Patients at tumor hospitals expressed a desire for timely examinations and treatments, especially during the pandemic period.

CONCLUSIONS

The COVID-19 pandemic had some association with patient comment scores. There were variations in the scores and content of comments among different types of specialized hospitals. Using ChatGPT to analyze patient comment content represents an innovative approach for statistically assessing factors contributing to patient dissatisfaction. The findings of this study could provide valuable insights for hospital administrators to foster more harmonious physician-patient relationships and enhance hospital performance during public health emergencies.

Recommendations for the safety of hospitalised patients in the context of the COVID-19 pandemic: a scoping review

OBJECTIVE

To map the recommendations for hospitalised patient safety in the context of the COVID-19 pandemic.

DESIGN

Scoping review using the method recommended by the Joanna Briggs Institute.

DATA SOURCES

Databases: Medline, SCOPUS, EMBASE, ScienceDirect, LILACS, CINAHL and IBECS; grey literature platform: Google Scholar; and 11 official websites of leading healthcare institutions were searched on 27 April 2021 and updated on 11 April 2022.

ELIGIBILITY CRITERIA

We included documents that present recommendations for the safety of hospitalised patients in the context of the COVID-19 pandemic, published in any language, from 2020 onwards.

DATA EXTRACTION AND SYNTHESIS

Data extraction was performed in pairs with consensus rounds. A descriptive analysis was carried out to present the main characteristics of the articles. Qualitative data from the extraction of recommendations were analysed through content analysis.

RESULTS

One hundred and twenty-five documents were included. Most papers were identified as expert consensus (n=56, 44.8%). Forty-six recommendations were identified for the safety of hospitalised patients: 17 relating to the reorganisation of health services related to the flow of patients, the management of human and material resources and the reorganisation of the hospital environment; 11 on the approach to the airways and the prevention of the spread of aerosols; 11 related to sanitary and hygiene issues; 4 about proper use of personal protective equipment and 3 for effective communication.

CONCLUSIONS

The recommendations mapped in this scoping review present the best practices produced so far and serve as a basis for planning and implementing good practices to ensure safe hospital care, during and after COVID-19. The engagement of everyone involved in the care of hospitalised patients is essential to consolidate the mapped recommendations and provide dignified, safe and quality care.

Telehealth for Preoperative Evaluation of Patients With Breast Cancer During the COVID-19 Pandemic

Introduction The COVID-19 pandemic drove rapid, widespread adoption of telehealth (TH). We evaluated surgical telehealth utilization and outcomes for newly diagnosed breast cancer patients during the initial pandemic period. Methods We identified patients with breast cancer diagnosed March 17, 2020 through May 17, 2020 who underwent surgery as the initial treatment. Clinicodemographic characteristics were collected. Initial consultation types (office, telephone, or video) were categorized. Outcomes included time to consultation, surgeon touchpoints, time to surgery, surgery types, and reexcision rates. Continuous variables were compared using Mann-Whitney tests or t-tests, and categorical variables were compared using χ2 or Fisher's exact tests. Results Of 158 patients, 56% had initial telehealth consultations (21% telephone, 35% video) and 42% did not have a preoperative physical examination. Age, race/ethnicity, and stage distributions were similar between initial visit types. Median time to consultation was lower in the initial telehealth group than the office group (6 days vs 9 days, p = 0.01). Other outcomes (surgeon touchpoints, time to surgery, surgery type, reconstruction) were similar between visit types. We observed higher reexcision rates in patients with initial telehealth visits (20% telehealth vs 4% office, p = 0.01), but evaluation was limited by small numbers. The reexcision rate was 13% for patients with telehealth visits and no preoperative physical exam. Discussion During the initial pandemic period, the majority of new breast cancer patients had an initial telehealth surgical consultation. Office and telehealth consultation visits had comparable numbers of postconsultation surgeon touchpoints and most outcomes. Our findings suggest that telehealth consultations may be feasible for preoperative breast cancer consultations.

Impact of COVID-19 Disease in Early Breast Cancer Management: A Summary of the Current Evidence

An expert panel on breast cancer and COVID-19 disease was convened to address the impact of the COVID-19 pandemic for early breast cancer (eBC) management.

Care in the time of COVID-19: impact on the diagnosis and treatment of breast cancer in a large, integrated health care system

PURPOSES

To delineate operational changes in Kaiser Permanente Northern California breast care and evaluate the impact of these changes during the initial COVID-19 Shelter-in-Place period (SiP, 3/17/20-5/17/20).

METHODS

By extracting data from institutional databases and reviewing electronic medical charts, we compared clinical and treatment characteristics of breast cancer patients diagnosed 3/17/20-5/17/20 to those diagnosed 3/17/19-5/17/2019. Outcomes included time from biopsy to consultation and treatment. Comparisons were made using Chi-square or Wilcoxon rank-sum tests.

RESULTS

Fewer new breast cancers were diagnosed in 2020 during the SiP period than during a similar period in 2019 (n = 247 vs n = 703). A higher percentage presented with symptomatic disease in 2020 than 2019 (78% vs 37%, p < 0.001). Higher percentages of 2020 patients presented with grade 3 (37% vs 25%, p = 0.004) and triple-negative tumors (16% vs 10%, p = 0.04). A smaller percentage underwent surgery first in 2020 (71% vs 83%, p < 0.001) and a larger percentage had neoadjuvant chemotherapy (16% vs 11%, p < 0.001). Telehealth utilization increased from 0.8% in 2019 to 70.0% in 2020. Times to surgery and neoadjuvant chemotherapy were shorter in 2020 than 2019 (19 vs 26 days, p < 0.001, and 23 vs 28 days, p = 0.03, respectively).

CONCLUSIONS

During SiP, fewer breast cancers were diagnosed than during a similar period in 2019, and a higher proportion presented with symptomatic disease. Early-stage breast cancer diagnoses decreased, while metastatic cancer diagnoses remained similar. Telehealth increased significantly, and times to treatment were shorter in 2020 than 2019. Our system continued to provide timely breast cancer treatment despite significant pandemic-driven disruption.

Oncological Surgery During the COVID-19 Pandemic: Effectiveness of Preoperative Screening and Factors Associated with Postoperative SARS-CoV-2 Infection

Background

Routine preoperative screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with reverse transcriptase-polymerase chain reaction (RT-PCR) may reduce in-hospital SARS-CoV-2 transmission.

Methods

This was a prospective, observational, cohort study. The endpoints were the incidence of asymptomatic patients with positive preoperative RT-PCR results and the incidence and factors associated with postoperative SARS-CoV-2 infection in patients with cancer referred for elective surgery. Patients with elective surgery between May and October 2020 were included. RT-PCR of nasopharyngeal swabs was performed preoperatively for all patients. Postoperative SARS-CoV-2 infection was assessed within 30 postoperative days.

Results

A total of 1636 preoperative screening RT-PCR tests were performed. Of these, 102 (6.2%) cases were positive, and 1,298 surgical procedures were analyzed. The postoperative SARS-CoV-2 infection rate was 0.9%. The length of stay (odds ratio [OR] 1.08; 95% confidence interval [CI] 1.04–1.11; p < 0.001), surgical time (OR 1.004; 95% CI 1.001–1.008; p = 0.023), intensive care unit admission (OR 7.7; 95% CI 2.03–29.28; p = 0.003), and hospital readmissions (OR 9.56; 95% CI 2.50–36.56; p = 0.001) were associated with postoperative coronavirus disease (COVID-19). Using unadjusted and adjusted logistic regression, length of stay (OR 1.08; 95% CI 1.04–1.11; p < 0.001), and readmission (OR 9.02; 95% CI 2.30–35.48; p = 0.002) were independent factors of postoperative COVID-19.

Conclusions

Screening patients preoperatively may reduce in-hospital SARS-CoV-2 transmission. Length of stay and readmission were independently correlated with postoperative COVID-19.

Continuing cancer surgery through the first six months of the COVID-19 pandemic at an academic university hospital in India: A lower-middle-income country experience

Background

The novel coronavirus pandemic (COVID‐19) hinders the treatment of non‐COVID illnesses like cancer, which may be pronounced in lower‐middle‐income countries.

Methods

This retrospective cohort study audited the performance of a tertiary care surgical oncology department at an academic hospital in India during the first six months of the pandemic. Difficulties faced by patients, COVID‐19‐related incidents (preventable cases of hospital transmission), and modifications in practice were recorded.

Results

From April to September 2020, outpatient consultations, inpatient admissions, and chemotherapy unit functioning reduced by 62%, 58%, and 56%, respectively, compared to the same period the previous year. Major surgeries dropped by 31% with a decrease across all sites, but an increase in head and neck cancers (p = .012, absolute difference 8%, 95% confidence interval [CI]: 1.75% — 14.12%). Postoperative complications were similar (p = .593, 95% CI: −2.61% — 4.87%). Inability to keep a surgical appointment was primarily due to apprehension of infection (52%) or arranging finances (49%). Two COVID‐19‐related incidents resulted in infecting 27 persons. Fifteen instances of possible COVID‐19‐related mishaps were averted.

Conclusions

We observed a decrease in the operations of the department without any adverse impact in postoperative outcomes. While challenging, treating cancer adequately during COVID‐19 can be accomplished by adequate screening and testing, and religiously following the prevention guidelines.