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Investigation of healthcare-associated SARS-CoV-2 infection: Learning outcomes from an investigative process in the initial phase of the pandemic.
Ramsay, Isobel; Sharrocks, Katherine; Warne, Ben; Sithole, Nyarie; Ravji, Pooja; Bousfield, Rachel; Jones, Nick; Leong, Clare E; Suliman, Mohamed; Tsui, Rachel; Toleman, Michelle S; Moody, Christine; Smith, Richard; Whitehorn, James; Gouliouris, Theodore; Penciu, Florentina; Hofling, Christian; Cunningham, Chris; Enoch, David A; Moore, Elinor.
  • Ramsay I; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Sharrocks K; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Warne B; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Sithole N; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Ravji P; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Bousfield R; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Jones N; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Leong CE; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Suliman M; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Tsui R; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Toleman MS; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Moody C; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Smith R; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Whitehorn J; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Gouliouris T; Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Penciu F; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Hofling C; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Cunningham C; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Enoch DA; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
  • Moore E; Clinical Microbiology & Public Health Laboratory, Cambridge, UK.
J Infect Prev ; 23(5): 197-205, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1854724
ABSTRACT

Background:

Healthcare-associated (HCA) SARS-CoV-2 infection is a significant contributor to the spread of the 2020 pandemic. Timely review of HCA cases is essential to identify learning to inform infection prevention and control (IPC) policies and organisational response.

Aim:

To identify key areas for improvement through rapid investigation of HCA SARS-CoV-2 cases and to implement change.

Methods:

Cases were identified based on date of first positive SARS-CoV-2 PCR sample in relation to date of hospital admission. Cases were reviewed using a structured gap analysis tool to identify key learning points. These were discussed in weekly multidisciplinary meetings to gain consensus on learning outcomes, level of harm incurred by the patient and required actions. Learning was then promptly fed back to individual teams and the organisation.

Findings:

Of the 489 SARS-CoV-2 cases admitted between 10th March and 23rd June 2020, 114 suspected HCA cases (23.3%) were reviewed; 58/489 (11.8%) were ultimately deemed to be HCA. Five themes were identified individual patient vulnerability, communication, IPC implementation, policy issues and organisational response. Adaptations to policies based on these reviews were completed within the course of the initial phase of the pandemic.

Conclusion:

This approach enabled timely learning and implementation of control measures and policy development.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: J Infect Prev Year: 2022 Document Type: Article Affiliation country: 17571774221092553

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: J Infect Prev Year: 2022 Document Type: Article Affiliation country: 17571774221092553