"I've kept going" - a multisite repeated cross-sectional study of healthcare workers' pride in personal performance during the COVID-19 pandemic.

BACKGROUND: For healthcare workers, working through a pandemic may include both challenges, such as coping with increased demands and a lack of control, and rewards, such as experiencing a sense of achievement and meaningfulness. In this study, we explore the accomplishments healthcare workers themselves are proud of achieving at work, in order to elucidate the positive aspects of working through a pandemic. METHODS: In June 2020 (T1), December 2020 (T2), and May 2021 (T3), healthcare workers (n = 1,996) at four Norwegian hospitals participated in a web-based survey assessing job strain, psychological health, and support during the pandemic. The survey included the open-ended question "During the past two weeks, what have you been feeling proud of achieving at work?". Responses (1,046) to this item were analyzed using conventional content analysis, which resulted in 13 subthemes under 6 themes. RESULTS: For some, pride was found in their professional identity and dedication to their work. Others took pride in specific achievements, such as juggling their own needs (e.g., health, private life) with those of the workplace, contributing to cohesion and collaboration, their ability to learn and adjust, in being a useful resource at work, and in their efforts towards developing the organization and workplace. IMPLICATIONS: The current findings shed light on what healthcare workers feel proud of achieving in their day-to-day work. Assessment of these factors provides insight on both positive and negative aspects of working clinically during a pandemic, and highlights specific targets for building sustainable and rewarding work environments for healthcare workers.

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research.

Big data is central to new developments in global clinical science aiming to improve the lives of patients. Technological advances have led to the routine use of structured electronic healthcare records with the potential to address key gaps in clinical evidence. The covid-19 pandemic has demonstrated the potential of big data and related analytics, but also important pitfalls. Verification, validation, and data privacy, as well as the social mandate to undertake research are key challenges. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including patient representatives, clinicians, scientists, regulators, journal editors and industry. We propose the CODE-EHR Minimum Standards Framework as a means to improve the design of studies, enhance transparency and develop a roadmap towards more robust and effective utilisation of healthcare data for research purposes.

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research.

Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potential in big data and related analytics but has also revealed important limitations. Data verification, data validation, data privacy, and a mandate from the public to conduct research are important challenges to effective use of routine health-care data. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including representation from patients, clinicians, scientists, regulators, journal editors, and industry members. In this Review, we propose the CODE-EHR minimum standards framework to be used by researchers and clinicians to improve the design of studies and enhance transparency of study methods. The CODE-EHR framework aims to develop robust and effective utilisation of health-care data for research purposes.