PURPOSE: Reducing the use of coercion among @entity1 with @entity146 has long been a political priority. However, risk factors for coercive measures have primarily been investigated in smaller studies. To reduce the use of coercion, it is crucial to identify @entity1 at risk which we aim to do in this first large-scale study. METHODS: A cohort study was conducted among all @entity146 inpatients in Denmark, following 112,233 individuals during 1999-2014. Data from Danish registers were analysed using logistic regression for repeated measures. RESULTS: 24,594 inpatients were exposed to a coercive measure (21.9%). Clinical characteristics were the foremost predictors of coercion and @entity1 with @entity347 had the highest increased risk of being subjected to a coercive measure (OR   =   5.56; 95% CI   =   5.04, 6.14). The risk of coercion was the highest in the first admission and decreased with the number of admissions (all p   <   0.001). The following socioeconomic variables were associated with an increased risk of coercion: male sex, unemployment, lower social class and immigrants from low and middle income countries (all p   <   0.001). Early retirement and social relations, such as being married and having @entity1 , reduced the risk of being subjected to coercive measure (all p   <   0.05). CONCLUSION: From our nationwide data, we identified a broad range of risk factors associated with coercive measures. Our findings can assist researchers in identifying @entity1 at risk of coercion and thereby help targeting new coercion reduction programs.

Risk factors of coercion among XXXX inpatients: a nationwide register-based cohort study.

@entity1 :: ('9606', 'Species') :: ['children', 'patients', 'people'] @entity347 :: ('MESH:D019965', 'Disease') :: ['organic mental disorder'] @entity146 :: ('MESH:D001523', 'Disease') :: ['mental disorders', 'psychiatric']
@entity146 :: (MESH:D001523,Disease) :: ['psychiatric']
