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.

A descriptive cross-sectional study.

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

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

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.

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).

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.

Patient engagement is the active collaboration between patient partners and health system partners towards a goal of making decisions that centre patient needs—thus improving experiences of care, and overall effectiveness of health services in alignment with the Quintuple Aim. An important but challenging aspect of patient engagement is including diverse perspectives particularly those experiencing health inequities. When such populations are excluded from decision-making in health policy, practice and research, we risk creating a healthcare ecosystem that reinforces structural marginalisation and perpetuates health inequities.

Despite the growing body of literature on knowledge coproduction, few have addressed the role of power relations in patient engagement and offered actionable steps for engaging diverse patients in an inclusive way with a goal of improving health equity. To fill this knowledge gap, we draw on theoretical concepts of power, our own experience codesigning a novel model of patient engagement that is equity promoting, Equity Mobilizing Partnerships in Community, and extensive experience as patient partners engaged across the healthcare ecosystem. We introduce readers to a new conceptual tool, the Power Wheel, that can be used to analyse the interspersion of power in the places and spaces of patient engagement.

As a tool for ongoing praxis (reflection +action), the Power Wheel can be used to report, reflect and resolve power asymmetries in patient-partnered projects, thereby increasing transparency and illuminating opportunities for equitable transformation and social inclusion so that health services can meet the needs and priorities of all people.

Pakistan has disproportionately high maternal and neonatal morbidity and mortality. There is a lack of detailed, population-representative data to provide evidence for risk factors, morbidities and mortality among pregnant women and their newborns. The Pregnancy Risk, Infant Surveillance and Measurement Alliance (PRISMA) is a multicountry open cohort that aims to collect high-dimensional, standardised data across five South Asian and African countries for estimating risk and developing innovative strategies to optimise pregnancy outcomes for mothers and their newborns. This study presents the baseline maternal and neonatal characteristics of the Pakistan site occurring prior to the launch of a multisite, harmonised protocol.

PRISMA Pakistan study is being conducted at two periurban field sites in Karachi, Pakistan. These sites have primary healthcare clinics where pregnant women and their newborns are followed during the antenatal, intrapartum and postnatal periods up to 1 year after delivery. All encounters are captured electronically through a custom-built Android application. A total of 3731 pregnant women with a mean age of 26.6±5.8 years at the time of pregnancy with neonatal outcomes between January 2021 and August 2022 serve as a baseline for the PRISMA Pakistan study.

In this cohort, live births accounted for the majority of pregnancy outcomes (92%, n=3478), followed by miscarriages/abortions (5.5%, n=205) and stillbirths (2.6%, n=98). Twenty-two per cent of women (n=786) delivered at home. One out of every four neonates was low birth weight (

The PRISMA cohort will provide data-driven insights to prioritise and design interventions to improve maternal and neonatal outcomes in low-resource regions.

NCT05904145.