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Effectiveness of an institutional COVID-19 central sampling team during pandemic at a tertiary care centre.
Kajal, Smile; Reddy, Chandra Shekar; Kumar, Arvind; Sharda, Radhika; Desai, Devashish; Ahmed, Anam; Khan, Maroof Ahmad; Sivasree, Anuvindha J; Manjunath, Mouna B; Kaur, Ravneet; Wig, Naveet.
  • Kajal S; Department of Otorhinolaryngology and Head-Neck Surgery, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Reddy CS; Department of Otorhinolaryngology and Head-Neck Surgery, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Kumar A; Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Sharda R; Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Desai D; Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Ahmed A; Department of Gastroenterology, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Khan MA; Department of Biostatistics, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Sivasree AJ; Department of Oral and Maxillofacial Surgery, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Manjunath MB; Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Kaur R; Centre for Community Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
  • Wig N; Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
J Family Med Prim Care ; 10(8): 2993-2997, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1456410
ABSTRACT

BACKGROUND:

An efficient sampling is one of the key methods to identify all those affected by coronavirus disease 2019 (COVID-19).

OBJECTIVES:

To analyze how efficient setting up of a central sampling team would be to prevent any outbreak within the institution by minimizing the movement of suspected COVID-19 patients admitted in the inpatient wards. The secondary objective was to train maximum resident doctors to collect samples of admitted patients.

METHODOLOGY:

A central sampling team comprising of resident doctors from various departments was made who did sampling of the suspected COVID-19 inpatients admitted under various specialties.

RESULTS:

There were a total of 341 patients [209 males (61.29%), 132 females (38.7%)] and 335 patients underwent sampling. There was a positive correlation between (1) number of calls from a department vs percentage of positive samples in that department [Pearson correlation coefficient (R) = 0.47; P = 0.026], (2) number of samples taken by resident of a particular department from central sampling team vs number of positive samples taken by resident of that department [R = 0.8739, P = 0.01] and (3) number of visits to a department vs number of residents trained in that department [R = 0.93; P = 0.00001].

CONCLUSION:

Formulation of a central sampling team led to changes like a separate donning and doffing area in each ward and training of many resident doctors posted in different wards. This made each ward self-sufficient in collection of samples. This venture also ensured minimal movement of suspected COVID-19 patients in the hospital and thus least exposure to the hospital staff.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: J Family Med Prim Care Year: 2021 Document Type: Article Affiliation country: Jfmpc.jfmpc_63_21

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: J Family Med Prim Care Year: 2021 Document Type: Article Affiliation country: Jfmpc.jfmpc_63_21