How to Improve the Drafting of Health Profiles

Delineating patients’ health profiles is essential to allow for a proper comparison between medical care and its results in patients with comorbidities. The aim of this work was to evaluate the concordance of health profiles outlined by ward doctors and by epidemiologists and the effectiveness of training interventions in improving the concordance. Between 2018 and 2021, we analyzed the concordance between the health profiles outlined by ward doctors in a private hospital and those outlined by epidemiologists on the same patients’ medical records. The checks were repeated after training interventions. The agreement test (Cohen’s kappa) was used for comparisons through STATA. The initial concordance was poor for most categories. After our project, the concordance improved for all categories of CIRS. Subsequently, we noted a decline in concordance between ward doctors and epidemiologists for CIRS, so a new training intervention was needed to improve the CIRS profile again. Initially, we found a low concordance, which increased significantly after the training interventions, proving its effectiveness

Game of Mirrors: Health Profiles in Patient and Physician Perceptions

The relationship between general practitioners and patients is privileged. The aim of this study was to assess the concordance between the health profile perceived by the patient and the one described by the doctor. We conducted a cross-sectional study between 2019–2020. Patients completed the 5d-5L (EQ-p) and clinicians completed it “from the patient’s perspective” (EQ-d), also consulting the clinical diary. Statistical analysis was performed using Stata 14 (Cohen’s kappa; Fisher’s exact test). The sample consisted of 423 patients. The mean age was 56.7 ± 19.2. There were significant differences by gender in usual activities, pain, and anxiety/depression (74.6% of men had no limitation in usual activities versus 64.5% of women (p < 0.01), 53.9% of men had no pain versus 38.5% of women (p < 0.01), and 60.3% of men had no anxiety/depression versus 38.5% of women (p < 0.01)). Physicians did not detect these differences. The concordance between EQ-p and EQ-d was substantial for mobility (k = 0.62; p < 0.01), moderate for self-care (k = 0.48; p < 0.01) and usual activities (k = 0.50; p < 0.01). Concordance was fair for pain/discomfort (k = 0.32; p < 0.01), anxiety/depression (k = 0.38; p < 0.01), and EQ Index (k = 0.21; p < 0.01). There was greater agreement for “objective “dimensions (mobility, self-care, and usual activities). A good doctor, to be considered as such, must try to put himself in the “patient’s pajamas” to feel his feelings and be on the same wavelength