RESUMEN
OBJECTIVE: To explore the experiences of people with persistent COVID in the Basque Country more than a year after the start of the pandemic, in order to understand the health and social impact it has, as well as to detect possible areas for improvement in the care that these people receive in order to develop health programms to support their recovery. METHOD: Qualitative phenomenological study. In-depth interviews will be carried out as a data collection technique until saturation of the discourse. Patients of legal age who present persistent COVID symptomatology with an evolution time of more than 12 weeks were included. Contact with the patients was made through the Basque Long COVID Collective. The interviews were carried out and recorded through the ZOOM application. After the literal transcription of the interviews, the thematic analysis will be carried out, identifying the first units of meaning and assigning codes that will later be grouped into the different categories. RESULTS: 20 patients participated. A total of three main categories emerged from the analysis of the discourses: 1) affecting/impacting patients' quality of life; 2) identifying improvements in healthcare; and 3) comforting aspects. CONCLUSIONS: This study shows the significant impact on the quality of life suffered by these people. It is necessary to design health policies that favour a personalised, comprehensive and multidisciplinary approach to these patients.
RESUMEN
The objectives of this study are to develop a predictive model of hospital admission for COVID-19 to help in the activation of emergency services, early referrals from primary care, and the improvement of clinical decision-making in emergency room services. The method is the retrospective cohort study of 49,750 patients with microbiological confirmation of SARS-CoV-2 infection. The sample was randomly divided into two subsamples, for the purposes of derivation and validation of the prediction rule (60% and 40%, respectively). Data collected for this study included sociodemographic data, baseline comorbidities, baseline treatments, and other background data. Multilevel analyses with generalized estimated equations were used to develop the predictive model. Male sex and the gradual effect of age were the main risk factors for hospital admission. Regarding baseline comorbidities, coagulopathies, cancer, cardiovascular diseases, diabetes with organ damage, and liver disease were among the five most notable. Flu vaccination was a risk factor for hospital admission. Drugs that increased risk were chronic systemic steroids, immunosuppressants, angiotensin-converting enzyme inhibitors, and NSAIDs. The AUC of the risk score was 0.821 and 0.828 in the derivation and validation samples, respectively. Based on the risk score, five risk groups were derived with hospital admission ranging from 2.94 to 51.87%. In conclusion, we propose a classification system for people with COVID-19 with a higher risk of hospitalization, and indirectly with it a greater severity of the disease, easy to be completed both in primary care, as well as in emergency services and in hospital emergency room to help in clinical decision-making.Registration: ClinicalTrials.gov Identifier: NCT04463706.
Asunto(s)
COVID-19 , SARS-CoV-2 , COVID-19/epidemiología , Hospitalización , Hospitales , Humanos , Masculino , Atención Primaria de Salud , Estudios RetrospectivosRESUMEN
OBJECTIVE: To explore the experiences of schoolchildren in an exceptional health alert situation in which strict confinement measures have been applied to the population. METHOD: Qualitative exploratory study through the analysis of illustrations carried out by schoolchildren aged 7 to 8. The analysis was carried out according to Rose's theoretical framework. Descriptive analysis of socio-demographic data was performed. RESULTS: Five categories emerged from the analysis of the content: 1) feelings of sadness and fear; 2) importance of the family nucleus, safety and protection; 3) sedentary living habits during confinement; 4) housing infrastructure and social inequalities (life through a window); and 5) social response, collective struggle and through health professionals. CONCLUSIONS: The COVID-19 pandemic situation and the strict confinement measures have had a significant impact on the school population, who had experienced the greatest restrictions. Household infrastructure has been shown to be a clear differentiator that deepens social inequalities and the impact that the situation has on school children. More studies are needed on the long-term psychosocial impact of this situation on their physical and mental health.