Associations between loneliness, disease activity, and disease impact in inflammatory arthritis: A nationwide cross-sectional study among > 12,000 patients.

OBJECTIVES: To investigate the prevalence of loneliness among patients with IA with a specific focus on the associations with disease activity and impact. METHODS: We used data from a Danish cross-sectional survey comprising information on socio-demographics, mental health status, and social contacts among 12 713 patients with IA (rheumatoid arthritis (RA)/psoriatic arthritis (PsA)/axial spondylarthritis (axSpA)). Data were linked to the DANBIO Rheumatology Registry and the National Patient Registry. Loneliness was measured by asking: "Are you ever alone, although you would prefer to be together with others?". Association with disease activity and disease impact (Patient Global Assessment, pain, fatigue, physical function) was estimated using multivariable logistic regression (age, sex, cohabitation status, educational level, mental health status (depression, anxiety), and co-morbidity). RESULTS: Approximately one-third reported loneliness. Prevalence was lowest for patients with RA (31.6% (95%CI: 30.5; 32.6)) compared with PsA and axSpA (36.0 (34.0; 38.0)) and (36.3 (34.1; 38.4), respectively). It was highest among axSpA patients reporting high levels of depression (66.2% (60.0; 72.8)). A positive association was observed between loneliness and disease activity. For disease impact, prevalence estimates were between 40-60% when patients experienced high levels of pain, fatigue, low levels of physical function, and high Patient Global Assessment. CONCLUSIONS: Loneliness was highly prevalent in IA and associated with disease activity and impact. Therefore, loneliness is an important target for future mental health interventions in IA.

Social and emotional factors as predictors of poor outcomes following cardiac surgery.

OBJECTIVES: Existing risk prediction models in cardiac surgery stratify individuals based on their predicted risk, including only medical and physiological factors. However, the complex nature of risk assessment and the lack of parameters representing non-medical aspects of patients' lives point towards the need for a broader paradigm in cardiac surgery. Objectives were to evaluate the predictive value of emotional and social factors on 4 outcomes; death within 90 days, prolonged stay in intensive care (≥72 h), prolonged hospital admission (≥10 days) and readmission within 90 days following cardiac surgery, as a supplement to traditional risk assessment by European System for Cardiac Operative Risk Evaluation (EuroSCORE). METHODS: The study included adults undergoing cardiac surgery in Denmark 2014-2017 including information on register-based socio-economic factors, and, in a nested subsample, self-reported symptoms of anxiety and depression. Logistic regression analyses were conducted, adjusted for EuroSCORE, of variables reflecting social and emotional factors. RESULTS: Amongst 7874 included patients, lower educational level (odds ratio 1.33; 95% confidence interval 1.17-1.51) and living alone (1.25; 1.14-1.38) were associated with prolonged hospital admission after adjustment for EuroSCORE. Lower educational level was also associated with prolonged intensive care unit stay (1.27; 1.00-1.63). Having a high income was associated with decreased odds of prolonged hospital admission (0.78; 0.70-0.87). No associations or predictive value for symptoms of anxiety or depression were found on any outcomes. CONCLUSIONS: Social disparity is predictive of poor outcomes following cardiac surgery. Symptoms of anxiety and depression are frequent especially amongst patients with a high-risk profile according to EuroSCORE. SUBJ COLLECTION: 105, 123.

Questionnaire measuring patient participation in health care: Scale development and psychometric evaluation.

BACKGROUND: Patient participation in treatment and care is often encouraged and is desirable because of its proven positive impact on treatment, quality of care and patient safety. AIMS: To develop an instrument to measure patient participation in health care and to investigate the measurement properties of the Patient Participation Questionnaire (PPQ). METHODS: A literature review was conducted to develop a model of patient participation. The PPQ was constructed consisting of 17 items organized into four subscales. Psychometric evaluation of factor structure, convergent construct validity by hypothesis testing and analyses of internal consistency using Cronbach's alpha were performed on data from a hospitalised mixed group of patients with cardiac disease, pulmonary disease and cancer (N=378 patients). RESULTS: Confirmatory factor analysis did not show a clear model fit, which is why an exploratory factor analysis was performed, suggesting a different four subscale structure consisting of a total of 16 items. The four subscales were labelled Shared decision power, Adapted and individualized knowledge, Collaboration and Human approach. There were strong ceiling effects on all items. Analysis of convergent construct validity showed a moderate correlation (0.59) between the PPQ and another instrument measuring patient participation. Internal consistency for the total PPQ score was high: 0.89. CONCLUSION: In a mixed group of patients with cardiac disease, pulmonary disease and cancer, the PPQ showed promising psychometric properties in terms of factor structure, convergent construct validity and internal consistency. The PPQ may be used to shed light on the experience of patient participation and guide quality improvements.

Updating EuroSCORE by including emotional, behavioural, social and functional factors to the risk assessment of patients undergoing cardiac surgery: a study protocol.

INTRODUCTION: Conventional risk assessment in cardiac surgery focus on medical and physiological factors and have been developed to predict mortality. Other relevant risk factors associated with increased risk of poor outcomes are not included. Adding non-medical variables as potential prognostic factors to risk assessments direct attention away from specific diagnoses towards a more holistic view of the patients and their predicament. The aim of this paper is to describe the method and analysis plan for the development and validation of a prognostic screening tool as a supplement to the European System for Cardiac Operative Risk Evaluation (EuroSCORE) to predict mortality, readmissions and prolonged length of admission in patients within 90 days after cardiac surgery, as individual outcomes. METHODS AND ANALYSIS: The development of a prognostic screening tool with inclusion of emotional, behavioural, social and functional factors complementing risk assessment by EuroSCORE will adopt the methods recommended by the PROGnosis RESearch Strategy Group and report using the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis statement. In the development stage, we will use data derived from three datasets comprising 1143, 3347 and 982 patients for a prospective cohort study of patients undergoing cardiac surgery, respectively. We will construct logistic regression models to predict mortality, prolonged length of admission and 90-day readmissions. In the validation stage, we will use data from a separate sample of 333 patients planned to undergo cardiac surgery to assess the performance of the developed prognostic model. We will produce validation plots showing the overall performance, area under the curve statistic for discrimination and the calibration slope and intercept. ETHICS AND DISSEMINATION: The study will follow the requirements from the Ethical Committee System ensuring voluntary participation in accordance with the Helsinki declarations. Data will be filed in accordance with the requirements of the Danish Data Protection Agency.