Serious health-related suffering impairs treatments and survival in older patients with cancer.

CONTEXT: More than half of new cancer cases occurred in older adults. Older patients with cancer are particularly at risk of physical, psycho-existential or socio-familial suffering as defined by the concept of Serious Health-related Suffering (SHS). OBJECTIVES: To assess the direct and indirect effects of physical, psycho-existential and socio-familial dimensions of suffering on cancer treatability, supportive care needs and 12-month mortality in older patients with cancer. METHODS: We included patients with cancer aged 70 years and over from the Elderly Cancer Patients cohort (ELCAPA, Ile-de-France), referred for geriatric assessment between 2007 and 2019 before cancer treatment. Structural equation modelling examined the direct and indirect relationships between SHS dimensions (latent variables), patients' characteristics (age, sex, tumor location and metastatic status, comorbidity, period of care), and outcomes. RESULTS: The analysis included 4,824 patients (mean age: 82.2 ± 4 years; women: 56%; main cancer sites: breast [22.3%], colorectal [15.2%], prostate [8.5%], and lung [6.8%]; metastatic cancer: 46%). Physical suffering had direct pejorative effects on cancer treatability, and mortality (standardized coefficient [SC] = 0.12 [P<0.001], SC = 0.27 [P<0.001], respectively). Psycho-existential and socio-familial sufferings had indirect pejorative effects on survival through decreased cancer treatability (SC = 0.08 [P<0.001], SC = 0.03 [P<0.001], respectively). Psycho-existential dimension had the main direct effect size on supportive care needs (SC = 0.35 [P<0.001]) and was interrelated with physical suffering. CONCLUSION: Physical suffering has direct pejorative effect on survival. All dimensions indirectly decrease survival due to poorer cancer treatability. Our findings support concomitant management of physical and psycho-existential suffering.

Natural language processing of multi-hospital electronic health records for public health surveillance of suicidality.

There is an urgent need to monitor the mental health of large populations, especially during crises such as the COVID-19 pandemic, to timely identify the most at-risk subgroups and to design targeted prevention campaigns. We therefore developed and validated surveillance indicators related to suicidality: the monthly number of hospitalisations caused by suicide attempts and the prevalence among them of five known risks factors. They were automatically computed analysing the electronic health records of fifteen university hospitals of the Paris area, France, using natural language processing algorithms based on artificial intelligence. We evaluated the relevance of these indicators conducting a retrospective cohort study. Considering 2,911,920 records contained in a common data warehouse, we tested for changes after the pandemic outbreak in the slope of the monthly number of suicide attempts by conducting an interrupted time-series analysis. We segmented the assessment time in two sub-periods: before (August 1, 2017, to February 29, 2020) and during (March 1, 2020, to June 31, 2022) the COVID-19 pandemic. We detected 14,023 hospitalisations caused by suicide attempts. Their monthly number accelerated after the COVID-19 outbreak with an estimated trend variation reaching 3.7 (95%CI 2.1-5.3), mainly driven by an increase among girls aged 8-17 (trend variation 1.8, 95%CI 1.2-2.5). After the pandemic outbreak, acts of domestic, physical and sexual violence were more often reported (prevalence ratios: 1.3, 95%CI 1.16-1.48; 1.3, 95%CI 1.10-1.64 and 1.7, 95%CI 1.48-1.98), fewer patients died (p = 0.007) and stays were shorter (p < 0.001). Our study demonstrates that textual clinical data collected in multiple hospitals can be jointly analysed to compute timely indicators describing mental health conditions of populations. Our findings also highlight the need to better take into account the violence imposed on women, especially at early ages and in the aftermath of the COVID-19 pandemic.