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Training and reployment of non-specialists is an effective solution for the shortage of health care workers in the COVID-19 pandemic
Ming Kuang; Jianfeng Wu; Yifeng Luo; Han Xiao; Ruiming Liang; Wenjie Hu; Shouzhen Cheng; Qian Zhou; Sui Peng; KarKeung Cheng; Haipeng Xiao.
Affiliation
  • Ming Kuang; The First Affiliated Hospital of Sun Yat-sen Univeristy
  • Jianfeng Wu; The First Affiliated Hospital of Sun Yat-sen University
  • Yifeng Luo; The First Affiliated Hospital of Sun Yat-sen University
  • Han Xiao; The First Affiliated Hospital of Sun Yat-sen University
  • Ruiming Liang; The First Affiliated Hospital of Sun Yat-sen University
  • Wenjie Hu; The First Affiliate Hospital of Sun Yat-sen University
  • Shouzhen Cheng; The First Affiliated Hospital of Sun Yat-sen University
  • Qian Zhou; The First Affiliated Hospital of Sun Yat-sen University
  • Sui Peng; The First Affiliated Hospital of Sun Yat-sen University
  • KarKeung Cheng; The First Affiliated Hospital of Sun Yat-sen University
  • Haipeng Xiao; The First Affiliated Hospital of Sun Yat-sen University
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20156117
ABSTRACT
ImportanceIn the COVID-19 pandemic many countries encounter problems arising from shortage of specialists. Short intensive training and reployment of non-specialists is an option but the effectiveness is unknown. ObjectiveTo investigate whether there was difference in in-hospital mortality rates between COVID-19 patients managed by a mixed team (including non-specialists who had short intensive training and operated to a strict protocol) and those managed by a specialist team of health care workers. DesignCohort study, from January 26, 2020 to April 7, 2020, follow up to April 7, 2020. SettingMulticenter - Wuhan Hankou Hospital and Wuhan Xiehe Hospital, Wuhan, China. Participants261 HCWs deployed to Wuhan from Guangdong emergency rescue team and the 269 COVID-19 patients they treated. ExposureAmong 261 health care workers, 130 were in the specialist team and included 33 physicians, 32 of whom (97.0%) of whom were from relevant specialties. Each physician was in charge of 25-27 beds, with a 6-hour shift time. The mixed team included 131 health care workers, with 7 of the 28 physicians (25.0%) from relevant specialties. Each physician managed 12-13 beds, with a 4-hour shift time. Non-specialists received short-term intensive training and then followed strict management protocols. Specialists practiced as normal. Main Outcomes and MeasuresMain outcome was in-hospital mortality of COVID-19 patients. Another outcome was rate of SARS-CoV-2 infection in health care workers. ResultsA total of 269 patients were included (144 male). In-hospital mortality rate of patients treated by the specialist teams and the mixed teams was 12.6% (20/159) and 12.7% (14/110) respectively (Difference = -0.1%, 95% CI -8.2% to 7.9%, p=.97). None of the health care workers were infected. Conclusions and RelevanceTraining and reployment of non-specialists is an effective solution for the shortage of health care workers in the COVID-19 pandemic. Key PointsO_ST_ABSQuestionC_ST_ABSWas there difference in mortality rates between COVID-19 patients managed by a mixed team (including non-specialists who had short intensive training and operated to a strict protocol) and those managed by a specialist team of health care workers (HCWs)? FindingsIn-hospital mortality rate among patients managed by specialist team (130 HCWs, 159 patients) and mixed team (131 HCWs, 110 patients) was 12.6% (20/159) and 12.7% (14/110) respectively (Difference = -0.1%, 95% CI -8.2% to 7.9%, p=.97). MeaningWith shortage of specialist HCWs, training and reployment of non-specialists is an effective option in the management of COVID-19 patients.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Cohort_studies / Experimental_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Cohort_studies / Experimental_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint