ABSTRACT
Objective:To construct a death education intervention program for advanced cancer caregivers to improve the reference for death education for advanced cancer caregivers.Methods:Content analysis, semi-structured interview, Delphi expert consultation method were used to develop a preliminary death education program based on the theory of knowledge, belief, and behavior. From April to May 2022, fifteen experts from palliative care, life and death education, oncology nursing, psychological nursing and other related fields were selected for two rounds of expert consultation, and the contents of the program were revised and improved through preliminary experiments.Results:After two rounds of expert consultation, the results showed that the expert opinions tend to be unanimous. The authoritative coefficient of experts was 0.87, and the Kendall coordination coefficients of feasibility, validity and scientificity of the two rounds of consultation were 0.181, 0.303, 0.363 and 0.249, 0.355, 0.366, respectively (both P<0.05). The preliminary experiments revised and improved the intervention frequency and content, and finally formed a death education intervention program for advanced cancer caregivers which included four-stage progressive death themes: made an appointment with death, made a discussion on death, made an embrace with death and made friends with death. Conclusions:The process of constructing a death education program for advanced cancer caregivers is scientific, and the content is feasible, valid, and scientific. In addition, it is of great significance to promote death education in palliative care.
ABSTRACT
Objective:To determine the characteristics of hospitalized newly diagnosed systemic lupus erythematosus (SLE) patients with high disease activity, and identify the risk factors.Methods:Data from 194 newly diagnosed SLE patients at Shanghai Renji Hospital between May 2013 and December 2018 were collected retrospectively. All patients were followed up for 1 year or until death. Patients' demographic, clinical, and laboratory characteristics on admission and medication history were retrospectively collected as baseline data. Patients were divided into two groups, lupus patients with infection (51 cases) and lupus patients without infection (143 cases). The method of univariate analysis of data depended on the data distribution type. Variables that suggested association in the univariate analysis ( P<0.05) were entered into Cox regression model. Results:Among 194 patients with newly diagnosed SLE, 21 cases (11%) died and 51 cases (26%) were infected during 1-year follow-up. Regarding the infection site, 34 cases (67%) had lung infection, 9 cases (18%) had central nervous system infection and 9 cases (18%) had blood stream infection. Common bacteria were identified in 19 cases (45%), followed by fungal infection in 18 cases (43%) and mycobacterium infection in 7 cases (17%). Among the 51 patients with infection, 38 patients (75%) had infection within the first 3 months after diagnosis, and mortality in this group was significantly higher than that in the uninfected group (39%, 15/38 vs 2%, 3/143 , P<0.01). Comparing baseline parameters between patients with 3-month infection and without, significant differences ( P<0.05) were detected in age (≥40 years), systemic lupus erythematosus disease activity index (SLEDAI) score (>10 points), Systemic Lupus International Collaborating Clinic (SLICC)/American College of Rheumatology(ACR) systemic lupus erythematosus damage index (SDI) (≥1 point), pericardial effusion, nephritis, gastrointestinal vasculitis, diabetes, lymphocyte count <0.8×10 9/L platelet count <100×10 9/L, serum creatinine >104 mmol/L and serum globulin level <20 g/L. Finally, clinically meaningful candidate predictors were included in the Cox regression model and it showed that lymphocyte count <0.8×10 9/L, nephritis and gastrointestinal vasculitis were independently predictive for 3-month infection in new-onset lupus patients. Conclusion:Understanding disease spectrums and risk factors of infection in newly diagnosed SLE patients will help clinicians to manage those patients with infection effectively to achieve favorable prognosis.