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10.1016/j.ajic.2021.03.016

http://scihub22266oqcxt.onion/10.1016/j.ajic.2021.03.016
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33794312!8007185!33794312
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suck abstract from ncbi

pmid33794312      Am+J+Infect+Control 2021 ; 49 (11): 1343-1349
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  • When planning meets reality: COVID-19 interpandemic survey of Michigan Nursing Homes #MMPMID33794312
  • Jones K; Mantey J; Washer L; Meddings J; Patel PK; Montoya A; Mills JP; Gibson K; Mody L
  • Am J Infect Control 2021[Nov]; 49 (11): 1343-1349 PMID33794312show ga
  • BACKGROUND: Nursing home (NH) populations have borne the brunt of morbidity and mortality of COVID-19. We surveyed Michigan NHs to evaluate preparedness, staffing, testing, and adaptations to these challenges. METHODS: Interpandemic survey responses were collected May 1-12, 2020. We used Pearson's Chi-squared test, Fisher's exact test, and logistic regression to evaluate relationships. RESULTS: Of 452 Michigan NHs contacted via e-mail, 145 (32.1%) opened the survey and of these, 143 (98.6%) responded. Sixty-eight percent of respondents indicated their response plan addressed most issues. NHs reported receiving rapidly changing guidance from many sources. Two-thirds reported shortages of personal protective equipment and other supplies. Half (50%) lacked sufficient testing resources with only 36% able to test residents and staff with suspected COVID-19. A majority (55%) experienced staffing shortages. Sixty-three percent experienced resignations, with front-line clinical staff more likely to resign, particularly in facilities caring for COVID-19 patients (P < .001). Facilities adapted quickly, creating COVID-19 units (78%) to care for patients on site. To reduce isolation, NHs facilitated communication via phone calls (98%), videoconferencing (96%), and window visits (81%). A majority continued to provide requisite therapies (90%). CONCLUSIONS: NHs experienced shortages of resources, testing supplies, and staffing challenges. COVID-19 in the facility was a key predictor of staff resignations. Facilities relied on rapidly changing, often conflicting advice from multiple sources, suggesting high-yield areas of improvement.
  • |*COVID-19[MESH]
  • |Humans[MESH]
  • |Michigan[MESH]
  • |Nursing Homes[MESH]
  • |SARS-CoV-2[MESH]


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