Mobile integrated health-community paramedicine programs' effect on emergency department visits: An exploratory meta-analysis.

Introduction: Mobile Integrated Health Community Paramedicine (MIH-CP) programs are designed to increase access to care and reduce Emergency Department (ED) and Emergency Medical Services (EMS) usage. Previous MIH-CP systematic reviews reported varied interventions, effect sizes, and a high prevalence of biased methods. We aimed to perform a meta-analysis on MIH-CP effect on ED visits, and to evaluate study designs' effect on reported effect sizes. We hypothesized biased methods would produce larger reported effect sizes.

Methods: We searched Pubmed, Embase, CINAHL, and Scopus databases for peer-reviewed MIH-CP literature from January 1, 2000, to July 24, 2021. We included all full-text English studies whose program met the National Associations of Emergency Medical Technicians definition, reported ED visits, and had an MIH-CP related intervention and outcome. We established risk ratios for each included study through interpreting the reported data. We performed a random-effects and cumulative meta-analysis of ED visit data, tests of heterogeneity, and a moderator analysis to assess for factors influencing the magnitude of observed effect.

Results: We identified 16 studies that reported ED visit data and included 12 in our meta-analysis. All studies were observational; 3 used matched controls, 6 pre-post controls, and 3 without controls. 7 studies' intervention were diversion/triage while 5 studies intervened with health education/home primary care services. Pooled risk ratio for our data set was 0.56 (95% confidence interval 0.42-0.74). Cumulative meta-analysis revealed that as of 2018 MIH-CP programs began to show consistent reductions in ED visits. Significant heterogeneity was seen among studies, with I-squared >90%. Moderator analysis showed reduced heterogeneity for matched-control studies.

Conclusion: Our data revealed MIH-CP programs were associated with a reduced risk of ED visits. Study design did not have a statistically significant influence on effect size, though it did influence heterogeneity. We would recommend future studies continue to use high levels of control to produce reliable data with lower heterogeneity.