Findings are in line with research showing differential self-image-based prediction of important outcomes in ED, with noteworthy consistencies across diagnoses and suicidality variables. Strengths included the large sample, and limitations pertained to measures, attrition and Type II error risk. Replication is needed, but findings are consistent with some previous work and offers clinical and research implications.

Background Electronic Patient-Reported Outcomes (ePROs) have potential to improve health outcomes and healthcare. The development of health-technology applications, such as ePROs, should include the potential users and be theoretically grounded. Swedish Youth Health Clinics (YHCs) offer primarily sexual and psychological healthcare for young people aged 12 to 25 years old. Young people in healthcare settings are considered a vulnerable group. The development of a collection of Patient-Reported Outcomes (PROs) in an Electronic Health Report Form (eHRF) for identifying health and health-related problems in young people, was preceded by a qualitative interview study, exploring young people’s views on using an eHRF at YHCs and which questions about health an eHRF should contain. The aim of the current study was to develop and evaluate the usability of an eHRF prototype for identifying health and health-related problems in young people visiting YHCs. Methods This study used a participatory design. During the development, an expert panel consisting of eight researchers and one Information Technology worker, participated. A wide literature search was performed to find PROs to construct an eHRF prototype to cover health areas. A mixed methods usability evaluation included 14 participants (young people, healthcare professionals, and an expert panel). Results The development resulted in an eHRF prototype, containing ten reliable and valid health questionnaires addressing mental-, physical-, and sexual health and social support, a self-efficacy question, and background questions, in total 74 items. The interviews in the usability evaluation resulted in three categories describing the usability of the eHRF: ‘Captures the overall health of young people but needs clarification’, ‘Fun, easy, and optional and will keep young people’s interest’, and ‘Potential contribution to improve the health consultation’. The quantitative results support the usability of the eHRF for YHCs. Conclusions The participatory approach contributed to development of the eHRF prototype to cover health areas adapted for the target population. The usability evaluation showed that the eHRF was usable and had the potential for self-reflection and contributions to cooperation between young people and healthcare professionals during the health consultation.

IntroductionSuicide risk is increased in eating disorders (ED), and detection is key to prevention. Self-image as operationalized in the structural analysis of social behavior (SASB) model has been shown to be associated with symptoms, treatment dropout, and outcome. SASB is a circumplex organizing self-directed behaviors along affiliation (love vs. hate) and autonomy (set free vs. control) dimensions. In a recent study, SASB related to health care-detected suicide attempts in ED. Methodology in that study ensured high specificity but risked lower sensitivity in suicide variables, and with such a high-threat outcome, research is needed on additional variables related to risk.Objectives and aimsWe aimed to study associations between SASB self-image and clinician- and self-rated suicidality at presentation and predicted over 12 months in ED patients.MethodsAdult patients (n = 551) from a Swedish clinical database included 19% anorexia, 32% bulimia, 7% binge ED, and 42% other ED. We ran separate regression models for these diagnostic groups using SASB questionnaire data, also controlling for general psychiatric and ED symptoms, and in longitudinal models including baseline of each outcome.ResultsSASB alone was associated with suicidality at presentation (9–67% variance explained) and predictively over 12 months (7–29%), and in the majority of models explained additional variance beyond baseline and clinical variables. Both affiliation and autonomy related to dependent variables in diagnosis-specific patterns.ConclusionsThe findings have implications for both theory and detection tools for suicide risk, as well as suggesting intervention targets to mitigate risk in treatment based on the well-validated SASB theory.Disclosure of interestThe authors have not supplied their declaration of competing interest.