Quality improvement tool for rapid identification of risk factors for SARS-CoV-2 infection among healthcare workers

Autor: George Friedman-Jimenez, Michael Marmor, Charles DiMaggio, Yongzhao Shao
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Hospital Infection
ISSN: 0195-6701
DOI: 10.1016/j.jhin.2020.06.012
Popis: The rapid growth of the coronavirus disease 2019 (COVID-19) pandemic, limited availability of personal protective equipment, and uncertainties regarding transmission modes of severe acute respiratory syndrome coronavirus-2 have heightened concerns for the safety of healthcare workers (HCWs). Systematic studies of occupational risks for COVID-19 in the context of community risks are difficult and have only recently started to be reported. Ongoing quality improvement studies in various locales and within many affected healthcare institutions are needed. A template design for small-scale quality improvement surveys is proposed. Such surveys have the potential for rapid implementation and completion, are cost-effective, impose little administrative or workforce burden, can reveal occupational risks while taking community risks into account, and can be repeated easily with short time intervals between repetitions. This article describes a template design and proposes a survey instrument that is easily modifiable to fit the particular needs of various healthcare institutions in the hope of beginning a collaborative effort to refine the design and instrument. These methods, along with data management and analytic techniques, can be widely useful and shared globally. The authors' goal is to facilitate quality improvement surveys aimed at reducing the risk of occupational infection of HCWs during the COVID-19 pandemic.
Databáze: OpenAIRE