Barriers and enablers to telehealth use by physiotherapists during the COVID-19 pandemic.

OBJECTIVES: To investigate the perceived barriers and enablers experienced by physiotherapists whilst delivering community and outpatient services during the COVID-19 pandemic. METHODS: Qualitative study undertaken at a University-affiliated hospital in Melbourne, Australia. Physiotherapists working in the outpatient setting participated in a semi-structured interview. Interviews were analysed using Framework Analysis, with themes mapped to the Theoretical Domains Framework (TDF). RESULTS: From 19 interviews, we identified major themes and mapped these to the TDF domains: 1. The pandemic rapidly closed the knowledge-practice gap; 2. Adaptation of existing skills and integration of new skills were required; 3. Supportive senior leadership helped the transition; 4. Capabilities and confidence improved with time; 5. Environmental factors were crucial to success or failure of telehealth; 6. Access to and delivery of care improved for some; 7. Identification of appropriate patients and future hybrid models of care; 8. Changes in work practices, role certainty and identity; 9. Development of educational resources consolidated knowledge; 10. Socialisation of telehealth and optimism for the future. Within each domain, key barriers and enablers were also identified. CONCLUSIONS: The findings of this study suggest that the delivery of community and outpatient physiotherapy via telehealth during the COVID-19 pandemic was an initial challenge. Growing knowledge, confidence and ability to problem solve barriers enabled physiotherapists to move along the continuum of 'fear' to 'triumph' as the pandemic progressed. These results can be used by clinicians, managers, and academics to guide future workforce planning, hospital environmental design, and service delivery. CLINICAL MESSAGE.

Social Restrictions versus Testing Campaigns in the COVID-19 Crisis: A Predictive Model Based on the Spanish Case.

The global COVID-19 spread has forced countries to implement non-pharmacological interventions (NPI) (i.e., mobility restrictions and testing campaigns) to preserve health systems. Spain is one of the most severely impacted countries, both clinically and economically. In an effort to support policy decision-making, we aimed to assess the impacts of different NPI on COVID-19 epidemiology, healthcare costs and Gross Domestic Product (GDP). A modified Susceptible-Exposed-Infectious-Removed epidemiological model was created to simulate the pandemic evolution. Its output was used to populate an economic model to quantify healthcare costs and GDP variation through a regression model which correlates NPI and GDP change from 42 countries. Thirteen scenarios combining different NPI were consecutively simulated in the epidemiological and economic models. Both increased testing and stringency could reduce cases, hospitalizations and deaths. While policies based on increased testing rates lead to higher healthcare costs, increased stringency is correlated with greater GDP declines, with differences of up to 4.4% points. Increased test sensitivity may lead to a reduction of cases, hospitalizations and deaths and to the implementation of pooling techniques that can increase throughput testing capacity. Alternative strategies to control COVID-19 spread entail differing economic outcomes. Decision-makers may utilize this tool to identify the most suitable strategy considering epidemiological and economic outcomes.