Understanding GPs' views and experiences of using clinical prediction rules in the management of respiratory infections: a qualitative study.
BJGP Open
; 5(4)2021 Aug.
Article
in English
| MEDLINE | ID: covidwho-1372088
ABSTRACT
BACKGROUND:
Respiratory tract infections (RTIs) account for 60% of antibiotic prescribing in primary care. Several clinical prediction rules (CPRs) have been developed to help reduce unnecessary prescribing for RTIs, but there is a lack of studies exploring whether or how these CPRs are being used in UK general practice.AIM:
To explore UK GPs' views and experiences with regards to RTI CPRs, and to identify barriers and facilitators to their use in practice. DESIGN &SETTING:
A qualitative analysis of interviews with in-hours GPs working in the South and South West of England.METHOD:
Semi-structured qualitative telephone interviews were conducted, digitally recorded, transcribed verbatim, and analysed using an inductive thematic approach. Patient and public involvement representatives contributed to study design and interpretation of findings.RESULTS:
Thirty-two GPs were interviewed. Some CPRs were more commonly used than others. Participants used CPRs to facilitate patient-clinician discussion, confirm and support their decision, and document the consultation. GPs also highlighted concerns including lack of time, inability of CPRs to incorporate patient complexity, a shift in focus from the patient during consultations, and limited use in remote consultation (during the COVID-19 pandemic).CONCLUSION:
This study highlights the need for user-friendly CPRs that are readily integrated into computer systems, and easily embedded into routine practice to complement clinical decision-making. Existing CPRs need to be validated for other populations where demographics and clinical characteristics may differ, as well different settings including remote consultations and self-assessment.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Prognostic study
/
Qualitative research
Language:
English
Year:
2021
Document Type:
Article
Affiliation country:
BJGPO.2021.0096
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