Claims

Applicants from deprived geographic areas have lower odds of selection into medical programs (pooled OR = 0.69)

Claim · All claims
Evidence · 1 study · quant-synthesis r1 · q3 · i2 medium
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i2 Applicants from deprived geographic areas, indicated by neighborhood income or school catchment indices, had a 31% lower likelihood of admission (OR = 0.69, 95% CI 0.5–0.93, k=6). → Arianpoor Arash 2026

Evidence

Arianpoor Arash 2026

Arianpoor Arash, Pena Alexia, Mercer Annette, Cox Jennifer, Lekkas Dimitra, Geronimo Francis Ruel, Waldron Heidi, Randal John, Dabner Marcus, Lynagh Marita, Pather Nalini, Shepherd Nicole, Robb Nigel, Berdin Rose, Wilkinson Tim, Hu Wendy, Shulruf Boaz, Huang Pin-Hsiang. (2026). Socioeconomic and economic factors affecting access and progression in medical schools: a systematic review and meta-analysis. Journal of Educational Evaluation for Health Professions. https://doi.org/10.3352/jeehp.2026.23.6

q3 · i2 · quant-synthesis · r1

Random-effects meta-analysis of 6 effect sizes for the deprived-geographic-area predictor on selection outcomes. Table 1 reports the pooled effect size as OR = 0.69 (95% CI 0.5–0.93) with very high heterogeneity (I2 99.28).

"In particular, applicants from deprived geographic areas, as indicated by neighborhood income or school catchment indices, had a 31% lower likelihood of admission (Table 1, Fig. 2)."

Discussion

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