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COVID-19 Pandemic Impact on the National Health Care Surveys.
Ward, Brian W; Sengupta, Manisha; DeFrances, Carol J; Lau, Denys T.
  • Ward BW; Brian W. Ward, Manisha Sengupta, and Carol J. DeFrances are with the National Center for Health Statistics, Hyattsville, MD. Denys T. Lau was with the National Committee for Quality Assurance, Washington, DC.
  • Sengupta M; Brian W. Ward, Manisha Sengupta, and Carol J. DeFrances are with the National Center for Health Statistics, Hyattsville, MD. Denys T. Lau was with the National Committee for Quality Assurance, Washington, DC.
  • DeFrances CJ; Brian W. Ward, Manisha Sengupta, and Carol J. DeFrances are with the National Center for Health Statistics, Hyattsville, MD. Denys T. Lau was with the National Committee for Quality Assurance, Washington, DC.
  • Lau DT; Brian W. Ward, Manisha Sengupta, and Carol J. DeFrances are with the National Center for Health Statistics, Hyattsville, MD. Denys T. Lau was with the National Committee for Quality Assurance, Washington, DC.
Am J Public Health ; 111(12): 2141-2148, 2021 12.
Article in English | MEDLINE | ID: covidwho-1559282
ABSTRACT
While underscoring the need for timely, nationally representative data in ambulatory, hospital, and long-term-care settings, the COVID-19 pandemic posed many challenges to traditional methods and mechanisms of data collection. To continue generating data from health care and long-term-care providers and establishments in the midst of the COVID-19 pandemic, the National Center for Health Statistics had to modify survey operations for several of its provider-based National Health Care Surveys, including quickly adding survey questions that captured the experiences of providing care during the pandemic. With the aim of providing information that may be useful to other health care data collection systems, this article presents some key challenges that affected data collection activities for these national provider surveys, as well as the measures taken to minimize the disruption in data collection and to optimize the likelihood of disseminating quality data in a timely manner. (Am J Public Health. 2021;111(12)2141-2148. https//doi.org/10.2105/AJPH.2021.306514).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Care Surveys / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Country/Region as subject: North America Language: English Journal: Am J Public Health Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Care Surveys / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Country/Region as subject: North America Language: English Journal: Am J Public Health Year: 2021 Document Type: Article