Practice and System Factors Impact on Infection Prevention and Control in General Practice during COVID-19 across 33 Countries: Results of the PRICOV Cross-Sectional Survey.

Infection prevention and control (IPC) is an evidence-based approach used to reduce the risk of infection transmission within the healthcare environment. Effective IPC practices ensure safe and quality healthcare. The COVID-19 pandemic highlighted the need for enhanced IPC measures and the World Health Organization (WHO) emphasized the need for strict adherence to the basic principles of IPC. This paper aims to describe the IPC strategies implemented in general practice during the COVID-19 pandemic and to identify the factors that impact their adoption. Data were collected by means of an online self-reported questionnaire among general practices. Data from 4466 practices in 33 countries were included in the analysis. Our results showed a notable improvement in IPC during COVID-19 with more practices reporting that staff members never wore nail polish (increased from 34% to 46.2%); more practices reporting that staff never wear a ring/bracelet (increased from 16.1% to 32.3%); and more practices using a cleaning protocol (increased from 54.9% to 72.7%). Practice population size and the practice payment system were key factors related to adoption of a) range of IPC measures including patient flow arrangements and infrastructural elements. An understanding of the interplay between policy, culture, systemic supports, and behavior are necessary to obtain sustained improvement in IPC measures.

Patient enablement after a consultation with a general practitioner-Explaining variation between countries, practices and patients.

BACKGROUND: Patient enablement is a concept developed to measure quality in primary health care. The comparative analysis of patient enablement in an international context is lacking. OBJECTIVE: To explain variation in patient enablement between patients, general practitioners (GPs) and countries. To find independent variables associated with enablement. DESIGN: We constructed multi-level logistic regression models encompassing variables from patient, GP and country levels. The proportions of explained variances at each level and odds ratios for independent variables were calculated. SETTING AND PARTICIPANTS: A total of 7210 GPs and 58 930 patients in 31 countries were recruited through the Quality and Costs of Primary Care in Europe (QUALICOPC) study framework. In addition, data from the Primary Health Care Activity Monitor for Europe (PHAMEU) study and Hofstede's national cultural dimensions were combined with QUALICOPC data. RESULTS: In the final model, 50.6% of the country variance and 18.4% of the practice variance could be explained. Cultural dimensions explained a major part of the variation between countries. Several patient-level and only a few practice-level variables showed statistically significant associations with patient enablement. Structural elements of the relevant health-care system showed no associations. From the 20 study hypotheses, eight were supported and four were partly supported. DISCUSSION AND CONCLUSIONS: There are large differences in patient enablement between GPs and countries. Patient characteristics and patients' perceptions of consultation seem to have the strongest associations with patient enablement. When comparing patient-reported measures as an indicator of health-care system performance, researchers should be aware of the influence of cultural elements.