학술논문

Improving the Reporting of Primary Care Research: Consensus Reporting Items for Studies in Primary Care--the CRISP Statement.
Document Type
Article
Source
Annals of Family Medicine. Nov/Dec2023, Vol. 21 Issue 6, p549-555. 7p.
Subject
*PRIMARY care
*RESEARCH teams
*MEDICAL research
*SURGERY safety measures
*RESEARCH personnel
*RESEARCH methodology
Language
ISSN
1544-1709
Abstract
Primary care (PC) is a unique clinical specialty and research discipline with its own perspectives and methods. Research in this field uses varied research methods and study designs to investigate myriad topics. The diversity of PC presents challenges for reporting, and despite the proliferation of reporting guidelines, none focuses specifically on the needs of PC. The Consensus Reporting Items for Studies in Primary Care (CRISP) Checklist guides reporting of PC research to include the information needed by the diverse PC community, including practitioners, patients, and communities. CRISP complements current guidelines to enhance the reporting, dissemination, and application of PC research findings and results. Prior CRISP studies documented opportunities to improve research reporting in this field. Our surveys of the international, interdisciplinary, and interprofessional PC community identified essential items to include in PC research reports. A 2-round Delphi study identified a consensus list of items considered necessary. The CRISP Checklist contains 24 items that describe the research team, patients, study participants, health conditions, clinical encounters, care teams, interventions, study measures, settings of care, and implementation of findings/results in PC. Not every item applies to every study design or topic. The CRISP guidelines inform the design and reporting of (1) studies done by PC researchers, (2) studies done by other investigators in PC populations and settings, and (3) studies intended for application in PC practice. Improved reporting of the context of the clinical services and the process of research is critical to interpreting study findings/results and applying them to diverse populations and varied settings in PC. [ABSTRACT FROM AUTHOR]