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Using observation to better understand the healthcare context.
Weston, Lauren E; Krein, Sarah L; Harrod, Molly.
Affiliation
  • Weston LE; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI.
  • Krein SL; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI.
  • Harrod M; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Qual Res Med Healthc ; 5(3): 9821, 2021 Dec 31.
Article in En | MEDLINE | ID: mdl-37441282
ABSTRACT
Despite potential to capture rich contextual information, observation remains an underutilized data collection method. This paper provides a practical guide for using observation to understand complex issues in healthcare settings. Observation is a qualitative data collection method comprised of viewing and documenting phenomena in the usual environment. Drawing on our recent work using observation to better understand personal protective equipment use among healthcare personnel, we describe when to consider collecting data via observation, how to prepare and perform observation, and how to analyze resulting data. Observation data are documented in field notes that contain detailed information about setting, participants, and activity associated with the topic of interest. Field notes can be analyzed alone or triangulated with other types of data using theoretical or conceptual frameworks or by identifying themes. Observation is a valuable data collection method for health services researchers to identify key components involved in a topic of interest, a vital step in forming relevant questions, measuring appropriate variables, and designing effective interventions. Used with other methods or alone, observation yields the detailed data needed to address context-specific factors across a wide range of healthcare research topics and settings.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Qual Res Med Healthc Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Qual Res Med Healthc Year: 2021 Document type: Article