Background: Patient Reported Outcomes are assessment tools widely used in clinical trials and health economics to globally measure patient functioning. Their use in clinical practice is promising but still lagging.
Aims: This systematic review and meta-analysis has three purposes. Firstly, collate the research to date about the use of Patient Reported Outcomes in clinical practice. Secondly, establish the benefit for individual patients. Finally, articulate gaps in the literature for the planning of future research.
Methods: A search of the literature was conducted (1966- July 2016) from databases including MEDLINE, Embase, CINAHL, PubMed, Scopus, PROSPERO, Cochrane and Joanna Briggs, as well as guidelines reports from Nice, CEBM, NHS, Promis and ISOQOL. ClinicalTrials.gov, clinicaltrialsregister.eu and the WHO ICTRP were searched for unpublished studies. More than 5000 studies were identified, and 42 met eligibility criteria. The Cochrane Risk of Bias tool was applied to eligible studies, and statistical data was entered into Cochrane Review Manager (RevMan). Arksey and O’Malley’s framework was used to correlate the eligible studies.
Results: Patient Reported Outcomes are most commonly used to predict prognosis, but increasingly to manage quality of life and mental health outcomes in clinical practice. This review identified greatest benefit for patients and healthcare professionals when using Patient Outcome Reporting to manage toxicities and disease burden. With regards to outcomes, several studies established a benefit for management of the symptoms of disease and reduction in treatment toxicities. The uses for Patient Reported Outcomes are wide ranging, resulting in a broad scope of reported benefit.
Conclusions: This review identified gaps in the evidence. In future research, the engagement of clinicians, utilisation of technology for data collection and guidance on how to respond to patient reported outcomes information must be prioritised. There is an identified benefit for patient outcomes, a clear opportunity for better personalised care and implications for improved service delivery.