Patient-Reported OUtcome measures in key African languages to promote Diversity in research and clinical practice (PROUD)—protocol for a systematic review of measurement properties

Introduction: Sub-Saharan Africa is a subcontinent with a proud cultural richness and diversity, yet inexplicably also a region with severe health care challenges and inequity. To challenge this health equity gap and reduce the burden of disease, the patient’s voice in monitoring and evaluation of health and health care interventions is paramount. The aim of this two-phased review is to map the availability of patient-reported outcome measures (PROMs) in a selection of non-English, African Languages, and systematically evaluate the measurement properties of the PROMs that were identified. Methods: This systematic review will be conducted in two phases. In phase 1, we will scope the literature for patient-reported outcome measures (PROMs), either developed from scratch or through translation and validation in a sub-Saharan African country and a selection of non-English, African languages (n = 31; spoken in > 10 million people and/or a national language). The availability of PROMs will be mapped against the previously reported burden of disease in the respective countries included. Subsequently, in phase 2, we systematically evaluate the measurement properties of these PROMs using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology for systematic reviews on PROMs. To ensure rigour, secondary searches will be developed to specifically locate articles that report on the measurement properties of the PROMs identified during phase 1. The evidence will be graded using the modified GRADE approach. Discussion: This review will provide a comprehensive overview and quality appraisal of PROMs developed in non-English, African languages. Consequently, this review when concluded may be an important first step in promoting access to these PROMs for use in clinical practice and research, as well as facilitate identification and prioritization of key knowledge gaps