Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Covid-19 Pandemic Impact on the National Health Care Surveys

Datos Bibliográficos

ID11029520
AutoresBrian W Ward (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.), Brian Ward (0000-0001-8257-1592, National Committee for Quality Assurance), Manisha Sengupta (0000-0002-3700-9442, 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.), Carol J Defrances (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.), Denys T Lau (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.)
Año2021
Volumen111
Número12
Páginas2141-2148
Fecha de publicación2021-12-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaAmerican Journal of Public Health (JOURNAL)
Identificadores de la revistaISSN: 0090-0036 • E-ISSN: 1541-0048
EditorialAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2021.306514
PMID34878878
OpenAlexW4200240645
IdiomaEN
Citas recibidas2
Referencias citadas5

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 )

Coronavirus disease 2019 (COVID-19) · Data collection · Environmental health · Health care · MEDLINE · Pandemic · Political science · Public health · Statistics · Survey data collection · COVID-19 and healthcare impacts · Healthcare Policy and Management · Medicine · Nursing · Telemedicine and Telehealth Implementation

  • Physician and Nurse Well-Being and Preferred Interventions to Address Burnout in Hospital Practice

    Open Access•Linda H Aiken, Karen B Lasater et al.•JAMA Health Forum•2023

  • Stratified Simple Random Sampling Versus Volunteer Community-Wide Sampling for Estimates of Covid-19 Prevalence

    Rachel J Keith, Rochelle H Holm et al.•American Journal of Public Health•2023

  • County-Level Association of Social Vulnerability with Covid-19 Cases and Deaths in the USA

    Open Access•Rohan Khazanchi, Evan R Beiter et al.•Journal of General Internal…•2020

  • Trends in the Use of Telehealth During the Emergence of the Covid-19 Pandemic — United States, January–March 2020

    Open Access•Lisa M Koonin, Brooke Hoots et al.•MMWR. Surveillance Summaries•2020

  • Covid-19 and the impact of social determinants of health

    Open Access•Elissa M Abrams, Stanley J Szefler•The Lancet Respiratory Medicine•2020

  • Aligning Health and Social Systems to Promote Population Health, Well-Being, and Equity

    Oktawia Wójcik, Christina R Miller et al.•American Journal of Public Health•2020

Obras citantes distintas2
Citas por año0,67
Intervalo de citas2023 - 2023 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae