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Peristomal skin problems are common in ostomy patients and are connected to decreased quality of life and patient independence, as well as increased treatment costs. This study analysed the factors related to peristomal skin changes in order to better define the clinical profile of patients with optimal peristomal skin status. Secondary analysis of data from a nationwide, cross-sectional, retrospective, multicentre study performed in Spain (Uses and Attitudes in Ostomy) (Bueno Cruz et al, 2021) evaluated clinical data, including demographics, preoperative stoma site marking, type of ostomy, device used, frequency of leakage and scores from the Ostomy Skin Tool (OST) and quality of life (QoL) questionnaires. Risk factors for peristomal skin changes were analysed using multivariate analysis, and a predictive nomogram to anticipate optimal peristomal skin status (defined here as discolouration (D), erosion (E), and tissue overgrowth (T) (DET) score of 0) was developed. Some 871 patients with an ostomy using different commercial devices in Spain were evaluated. Multivariate analysis to predict optimal peristomal skin status revealed leakage frequency, patient age, type of ostomy, preoperative siting and type of baseplate used were independent predictors of peristomal skin status. Optimal peristomal skin care should be a treatment goal for nurse specialists in stomal therapy, and its individual influencing variables should be taken into account by nurses specialising in ostomy care.

Peristomal skin problems are common in ostomy patients and are connected to decreased quality of life and patient independence, as well as increased treatment costs. This study analysed the factors related to peristomal skin changes in order to better define the clinical profile of patients with optimal peristomal skin status. Secondary analysis of data from a nationwide, cross-sectional, retrospective, multicentre study performed in Spain (Uses and Attitudes in Ostomy) (Bueno Cruz et al, 2021) evaluated clinical data, including demographics, preoperative stoma site marking, type of ostomy, device used, frequency of leakage and scores from the Ostomy Skin Tool (OST) and quality of life (QoL) questionnaires. Risk factors for peristomal skin changes were analysed using multivariate analysis, and a predictive nomogram to anticipate optimal peristomal skin status (defined here as discolouration (D), erosion (E), and tissue overgrowth (T) (DET) score of 0) was developed. Some 871 patients with an ostomy using different commercial devices in Spain were evaluated. Multivariate analysis to predict optimal peristomal skin status revealed leakage frequency, patient age, type of ostomy, preoperative siting and type of baseplate used were independent predictors of peristomal skin status. Optimal peristomal skin care should be a treatment goal for nurse specialists in stomal therapy, and its individual influencing variables should be taken into account by nurses specialising in ostomy care.

Aim:The Convexity in Ostomy (ECOS) study measured the impact of soft convex ostomy appliances on leakage frequency, peristomal skin health, and patient satisfaction, as well as stomal protrusion and body profile.Methods:This prospective non-randomised controlled trial included people with a stoma, divided into a control group using a convex appliance throughout (Alterna Confort Convex or Easiflex Confort Convex Light, Coloplast A/S, Humlebæk, Denmark), and an intervention group who were using a flat appliance at baseline before switching to a convex appliance for the rest of the study. Leakage frequency was counted within the past 2 weeks; peristomal skin health was assessed using the discolouration, erosion and tissue overgrowth (DET) Ostomy Skin Tool; and patient satisfaction was measured with a 0-10 Likert scale of self-reported satisfaction with the appliance. Measurements were taken at three visits: baseline (V1), 2-8 weeks (V2) and 6 months (V3). The Kruskal-Wallis and analysis of variance (ANOVA) tests were used for comparison. Multiple regression analysis was used to evaluate the effect of independent variables on the change in leakage frequency and DET score between baseline and 6 months.Findings:Of 253 participants screened, 245 completed the follow-up, with 151 in the intervention group and 94 in the control group. Mean leakage frequency period went from 5.85 ± 5.55 (V1) to 0.63 ± 1.42 (V2) and 0.23 ± 0.75 (V3) (p<.0001). Mean DET score changed from 4.8 ± 3.47 (V1) to 1.41 ± 2.17 (V2) and 0.54 ± 1.57 (V3) (p<.0001). Mean satisfaction changed from 6.0 ± 2.25 (V1) to 8.6 ± 1.14 (V2) and 9.17 ± 0.93 (V3) (p<.0001). From V1 to V3, the proportion of patients with a depressed peristomal area went from 45.7% to 31.4%, a normal peristomal area went from 45.3% to 65.3%, stoma protrusion went from 31.4% to 47.3% and stoma retraction went from 28.6% to 15.5%. By group, mean leakage frequency decreased in the intervention group by 7.65, from 7.57 to 0.11, and in the control group by 2.37, from 2.94 to 0.46 (p<0.0001). Multiple ANOVA analysis confirmed independent variables in reducing leakage to be initiating convexity and appliance coupling. By group, mean DET score decreased in the intervention group by 4.82, from 5.24 to 0.42, and in the control group by 3.52, from 4.34 to 0.76. Multiple ANOVA analysis showed independent variables for DET score to be initiating convexity, emergency surgery and stoma siting.Conclusion:People with a stoma experiencing repeated leakage benefitted from shifting from a flat to a soft convex appliance in terms of leakage frequency, peristomal skin health, stomal protrusion and body profile.

The objective of this study was to determine the psychometric properties of the 3‐dimensional latent model of empathy on the Jefferson Scale of Physician Empathy instrument (version S), and to verify the existence of cutoff points capable of differentiating empathy measures classified as: “high,” “medium,” and “low” using data collected from observations of students from 11 dental faculties of 5 Central American and Caribbean countries (n = 3082) between 2015 and 2019. This is an exploratory, “a posteriori,” and non‐experimental study. Factor structure and factor invariance by country and gender were analyzed. Hierarchical cluster analysis and bifactorial analysis were applied, and the data were normalized by cluster and by percentiles within them. Confirmatory factor analysis showed that the original model was replicable and fit the data, while multigroup analysis allowed assuming an invariant factor structure by country and by gender. There is reliability in the measurement made by the scale and its dimensions. The instrument has adequate psychometric properties, and cutoff values obtained allow people with lower or higher levels of empathy and its components to be classified. Therefore, these results solve the problem of comparing the scores and observed levels of empathy between dental schools within and between countries and between genders. Such comparisons were only possible since the original data of each study were made available for traditional statistical methods.