This study presents a model of psychic change in personality disorders focusing on three dimensions: felt safety, mentalization and self‐object relations. Based upon this model a hospitalization‐based therapy program was created. Four scales to measure these three dimensions on the Object Relation Interview are discussed: the Felt Safety Scale, the Reflective Functioning Scale and the Bion Grid Scale and the Differentiation‐Relatedness Scale. A naturalistic symptom outcome study of the program showed a large effect on both symptoms and personality functioning. Furthermore, trajectory based on pre‐treatment patient characteristics (i.e., anaclitic versus introjective personality styles). Importantly, we also found a relation between symptomatic and personality change and change in felt safety and object relations. At 5‐year follow‐up, patients showed sustained improvement in symptomatic distress and further improvement in terms of personality and interpersonal functioning. 相似文献
The use of empirical prior information about participants has been shown to substantially improve the efficiency of computerized adaptive tests (CATs) in educational settings. However, it is unclear how these results translate to clinical settings, where small item banks with highly informative polytomous items often lead to very short CATs. We explored the risks and rewards of using prior information in CAT in two simulation studies, rooted in applied clinical examples. In the first simulation, prior precision and bias in the prior location were manipulated independently. Our results show that a precise personalized prior can meaningfully increase CAT efficiency. However, this reward comes with the potential risk of overconfidence in wrong empirical information (i.e., using a precise severely biased prior), which can lead to unnecessarily long tests, or severely biased estimates. The latter risk can be mitigated by setting a minimum number of items that are to be administered during the CAT, or by setting a less precise prior; be it at the expense of canceling out any efficiency gains. The second simulation, with more realistic bias and precision combinations in the empirical prior, places the prevalence of the potential risks in context. With similar estimation bias, an empirical prior reduced CAT test length, compared to a standard normal prior, in 68% of cases, by a median of 20%; while test length increased in only 3% of cases. The use of prior information in CAT seems to be a feasible and simple method to reduce test burden for patients and clinical practitioners alike. 相似文献