Luigi Tesio, Antonio Caronni, Anna Simone, Dinesh Kumbhare, Stefano Scarano
Interpreting results from Rasch analysis 2. Advanced model applications and the data-model fit assessment
Disability and rehabilitation
study systematically reviewed interventions mitigating financial hardship patients cancer assessed effectiveness using metaanalytic method pubmed cochrane scopus cinahl web science searched articles published english january 2000april 2023 two independent reviewers selected prospective clinical trials intervention targeting outcome measuring financial hardship quality appraisal data extraction performed independently two reviewers using quality assessment tool randomeffects model metaanalysis performed reporting followed preferred reporting items systematic review metaanalyses guidelines eleven studies 2211 participants 55 male mean age 5929 years testing interventions including financial navigation financial education cost discussion included financial worry improved 273 11 studies material hardship costrelated care nonadherence remained unchanged two studies measuring outcomes four studies 373 participants 37 male mean age 5588 years assessed impact financial navigation financial worry using comprehensive score financial toxicity cost measure score range 044 higher score lower financial worry used metaanalysis significant change mean pooled cost score post preintervention 121 95 confidence interval 654 896 p 65 adjusting preintervention cost mean change cost significantly decreased 088 every 1unit increase preintervention cost p 02 intervention significantly changed cost score preintervention cost 145 variety interventions tested mitigate financial hardship financial navigation mitigate financial worry among highrisk patients