Ethnic Subgroups
Cross-source consensus on Ethnic Subgroups from 1 sources and 6 claims.
1 sources · 6 claims
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Highlighted claims
- The ethnic subgroup analysis included 340 CLICS patients in the white British group and 565 CLICS patients in the Pakistani heritage group. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
- The subgroup analysis focused on white British and Pakistani heritage patients, the two largest ethnic groups in the population. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
- CLICS was associated with a statistically significant 4.0 percentage point reduction in unplanned hospital admissions among Pakistani heritage patients. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
- The admission effect among white British patients was not statistically significant. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
- For unplanned A&E attendances, the effect was statistically significant only in the white British group. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach
- The stronger admissions effect among Pakistani heritage patients may reflect differences in age, gender, chronic illness patterns, or mechanisms requiring further study. — Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach