MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1521/pedi_2021_35_519

Медицинская библиотека · Journal of personality disorders · 2021

Investigating Effectiveness and Predicting Outcome and Dropout From Systems Training for Emotional Predictability and Problem Solving for Emotional Intensity Difficulties (STEPPS EI) in UK Primary Care.

Hezelyova Ivana, Cribben Hannah, Melunsky Natasha, Moalypour Shumona, Goodwin Huw, Maños Serrat Carla, Rahmanian Hamid, Duncko Roman

СтатьяПеревод в очереди

Аннотация

Systems Training for Emotional Predictability and Problem Solving (STEPPS) for borderline personality disorder (BPD) has been adapted for a primary care setting into a 13-week group treatment for emotional intensity difficulties (STEPPS EI). This is the first study to examine the effectiveness and potential outcome and dropout predictors of STEPPS EI in a primary care setting. Severity of BPD, depression, and anxiety symptoms were measured pre- and postintervention for 148 participants. Treatment completers showed improvements in depression, anxiety, and BPD symptoms with medium to large effect sizes. A predictor of symptom improvement was higher baseline severity for each of the symptom measures. Attending a psychoeducational group prior to STEPPS EI was associated with lower odds of dropout. The findings support the use of STEPPS EI in a primary care setting, with the potential to alleviate the burden from other local services.

Для цитирования: Hezelyova Ivana, Cribben Hannah, Melunsky Natasha, Moalypour Shumona, Goodwin Huw, Maños Serrat Carla, Rahmanian Hamid, Duncko Roman. Investigating Effectiveness and Predicting Outcome and Dropout From Systems Training for Emotional Predictability and Problem Solving for Emotional Intensity Difficulties (STEPPS EI) in UK Primary Care.. Journal of personality disorders. 2021. DOI: 10.1521/pedi_2021_35_519.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.