Patient-reported experience measures (PREMs) are measures of patients’ perceptions of care they receive. PREMs are critical in developing and evaluating programmes that aim to improve patient healthcare experiences and quality of care (QoC) according to patient-defined needs. This review aims to map key domains of PREMs across distinct healthcare technical areas and life stages from globally available literature.

A scoping review adapting Arksey and O’Malley’s framework and Joanna Briggs Institute’s guidelines for the conduct of scoping reviews.

Google Scholar, PubMed, WHO, US Academy of Medicine and USAID Momentum.

PREMs literature from electronic repositories of grey and peer-reviewed publications, published in English historically up to September 2023.

Two lead reviewers with support from the technical working group co-created a review framework of healthcare technical areas, life stages and PREMs domains. We screened eligible articles, prioritising reviews except for technical areas with no reviews, where we then selected individual studies. We charted, analysed and synthesised data from 52 eligible articles.

PREMs literature has recently increased, especially in low-income and middle-income countries (LMICs), although studies in high-income countries (HICs) dominate in proportion (n=38; 73.1%). Out of 52 eligible articles, technical areas with most publications were sexual and reproductive health (n=21; 40.4%) and general outpatient care (n=11; 21.2%). Studies in adulthood (n=24; 46.2%) and from pregnancy and birth to postnatal (n=16; 30.8%) were most represented. PREMs studies reported mostly on communication and rapport (n=33; 63.5%) and respect and dignity (n=42; 80.8%) domains. Nearly a quarter (n=12; 23.1%) of the articles included only validated tools; the rest included a combination of validated and unvalidated measures. Of the tools relating to life stages of babies, younger children and older adults, the majority (n=17; 94.4%) included patient proxies.

PREMs, as an important component of QoC measurement, are increasing across several healthcare technical areas and life stages with commonalities and notable distinctions in measurement domains and tools. Evidence on PREMs largely comes from HICs. Evidence on critical, yet sometimes overlooked domains, highlights key QoC implementation gaps. The adaptation and utilisation of PREMs in programmes, especially in LMICs and under-represented technical areas, present opportunities to close the QoC disparities in those settings. Strategic, concerted efforts towards the harmonisation of PREMs tools across multiple life course stages and technical areas are critically needed in high-level quality improvement efforts.

Gestational weight gain (GWG) is an important indicator of maternal nutrition to be monitored during pregnancy. However, there is no evidence-based tool that can be used to monitor it across all geographic locations and pre-pregnancy body mass index (BMI) categories. The WHO is undertaking a project to develop GWG charts by pre-pregnancy BMI category, and to identify GWG ranges associated with the lowest risks of adverse maternal and infant outcomes. This protocol describes all the steps that will be used to accomplish the development of these GWG charts.

This project will involve the analysis of individual participant data (researcher-collected or administrative). To identify eligible datasets with GWG data, a literature review will be conducted and a global call for data will be launched by the WHO. Eligible individual datasets obtained from multiple sources will be harmonised into a pooled database. The database will undergo steps of cleaning, data quality assessment and application of individual-level inclusion criteria. Heterogeneity of maternal weight and GWG will be assessed to verify the possibility of combining datasets from multiple sources and regions into a single database. Generalized Additive Models for Location, Scale and Shape will be applied for the construction of the centile curves. Diagnostic measures, internal and external validation procedures will also be performed.

This project will include an analysis of existing study de-identified data. To be included in the pooled database, each included study should have received ethics approvals from relevant committees. Manuscripts will be submitted to open-access journals and a WHO document will be published, including the GWG charts and cut-offs for application in antenatal care.