VP collection underrepresents disability, migration background, and unemployment relative to the German population¶

Claim · All claims
Evidence · 1 study (2 entries) · design r2 · q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2022: baselines and conditions change

Subclaims¶

q2 i? The VP collection underrepresents disability (1.5% vs 12.7%), migration background (1.5% vs 20.3%), and unemployment (0% vs 6.7%) compared to German population statistics. → Urresti-Gundlach M. 2017 q2 i? The VP age distribution shows an unrealistic peak at ages 30–39, coinciding with the age range of the VP authors. → Urresti-Gundlach M. 2017 (2)

Evidence¶

Urresti-Gundlach M. 2017¶

Urresti-Gundlach M., Tolks D., Kiessling C., Wagner-Menghin M., Härtl A., Hege I. (2017). Do virtual patients prepare medical students for the real world? Development and application of a framework to compare a virtual patient collection with population data. BMC Medical Education. https://doi.org/10.1186/s12909-017-1013-1

q2 · i? · design · r2

Descriptive comparison of 66 coded VPs against German Federal Statistical Office data. The article reports "One VP (1.5%) was described as intellectual disabled" versus 12.7% in the population, and similarly reports 1.5% migration coverage versus 20.3%, and 0% unemployment versus 6.7%.

"One VP (1.5%) was described as intellectual disabled; in all other cases no physical or mental disability was mentioned. In 2013 the percentage of disabled persons in the German population was 12.7% [22]."

Urresti-Gundlach M. 2017 (2)¶

Urresti-Gundlach M., Tolks D., Kiessling C., Wagner-Menghin M., Härtl A., Hege I. (2017). Do virtual patients prepare medical students for the real world? Development and application of a framework to compare a virtual patient collection with population data. BMC Medical Education. https://doi.org/10.1186/s12909-017-1013-1

q2 · i? · design · r2

Author interpretation of the age distribution comparison shown in Fig. 1, noting that "this age peak coincides with the age of the VP authors, who were mainly residents in that age range."

"The age distribution showed an unrealistic peak of VPs aged 30–39. Interestingly, this age peak coincides with the age of the VP authors, who were mainly residents in that age range."

Discussion¶

Related Claims¶

• VP collection may convey a hidden curriculum through unrepresentative demographics
• VP diagnoses and disease onset are broadly comparable to German healthcare data
• Culturally and linguistically diverse students are underrepresented in gifted identification nationwide — related