Abstract
ObjectivesTo investigate factors concerning patients regarding biological/target synthetic disease-modifying antirheumatic drugs (b/ts DMARDs) in treating inflammatory arthritis (IA).DesignThis study consists of a systematic review and a cross-sectional survey in Hong Kong. A systematic review of literature following Preferred Reporting Items for Systematic Reviews and Meta-Analyses was conducted on PubMed, Web of Science, Cochrane and Embase between 1 January 2000 and 1 January 2022. Content analysis was conducted to summarise factors grouped by four themes—social aspects (SA), clinical aspects (CA), medicine characteristics (MC) and financial aspects (FA) in the decision-making process. One cross-sectional survey among Hong Kong patients with IA was conducted to add to global evidence.SettingA systematic review of global evidence and a patient-based survey in Hong Kong to complement scarce evidence in Asia regions.ResultsThe systematic review resulted in 34 studies. The four themes were presented in descending order consistently but varied with frequency throughout decision-making processes. During decision-making involving medication initiation, preference and discontinuation, MC (reported frequency: 83%, 86%, 78%), SA (56%, 43%, 78%) and FA (39%, 33%, 56%) were the three most frequently reported factors, whereas CA was less studied. Local survey also revealed that MC factors such as treatment efficacy and the probability of severe adverse events, and SA factors such as the availability of government or charity subsidy, influenced patients’ initiation and preference for b/ts DMARDs. Meanwhile, self-estimated improvement in disease conditions (SA), drug side effects (MC) and drug costs (FA) were associated with treatment discontinuation.ConclusionsGlobal and local evidence consistently indicate that MC and SA are important considerations in patients’ decisions regarding novel DMARDs. Health policies that reduce patients’ financial burden and enhances healthcare professionals’ engagement in decision-making and treatment delivery should be in place with an efficient healthcare system for managing IA optimistically.