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Identifying carers in general practice (STATUS QUO): a multicentre, cross-sectional study in England

Por: Lawton · S. · Mallen · C. · Hussain · Z. · Bajpai · R. · Muller · S. · Holmstrom · C. · Jinks · C. · Helliwell · T.
Objectives

To determine General Practice (GP) recording of carer status and the number of patients self-identifying as carers, while self-completing an automated check-in screen prior to a GP consultation.

Design

A descriptive cross-sectional study.

Setting

11 GPs in the West Midlands, England. Recruitment commenced in September 2019 and concluded in January 2020.

Participants

All patients aged 10 years and over, self-completing an automated check-in screen, were invited to participate during a 3-week recruitment period.

Primary and secondary outcome measures

The current coding of carers at participating GPs and the number of patients identifying themselves as a carer were primary outcome measures. Secondary outcome measures included the number of responses attained from automated check-in screens as a research data collection tool and whether carers felt supported in their carer role.

Results

80.3% (n=9301) of patients self-completing an automated check-in screen participated in QUantifying the identification Of carers in general practice (STATUS QUO Study) (62.6% (n=5822) female, mean age 52.9 years (10–98 years, SD=20.3)). Prior to recruitment, the clinical code used to denote a carer was identified in 2.7% (n=2739) of medical records across the participating GPs.

10.1% (n=936) of participants identified themselves as a carer. They reported feeling supported with their own health and social care needs: always 19.3% (n=150), a lot of the time 13.2% (n=102), some of the time 40.8% (n=317) and never 26.7% (n=207).

Conclusions

Many more participants self-identified as a carer than were recorded on participating GP lists. Improvements in the recording of the population’s caring status need to be actioned, to ensure that supportive implementation strategies for carers are effectively received. Using automated check-in facilities for research continues to provide high participation rates.

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