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DOI 10.1186/s12913-017-2800-4

Медицинская библиотека · BMC health services research · 2018

Factors influencing the length of hospital stay of patients with anorexia nervosa - results of a prospective multi-center study.

Kästner D, Löwe B, Weigel A, Osen B, Voderholzer U, Gumz A

СтатьяМногоцентровое исследованиеПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

The length of stay (LOS) strongly influences anorexia nervosa (AN) inpatient weight outcomes. Hence, understanding the predictors of LOS is highly relevant. However, the existing evidence is inconsistent and to draw conclusions, additional evidence is required.

METHODS

We conducted a prospective, multi-center study including adult female inpatients with AN. Using stepwise linear regression, the following demographic and clinical variables were examined as potential predictors for LOS: admission BMI, AN-subtype, age, age of onset, living situation, partnership status, education, previous hospitalization, self-rated depression, anxiety and somatic symptoms (PHQ-9, PHQ-15, GAD-7), self-rated therapy motivation (FEVER) and eating disorder psychopathology (EDI-2 subscale scores).

RESULTS

The average LOS of the sample (n = 176) was 11.8 weeks (SD = 5.2). Longer LOS was associated with lower admission BMI (ß = -1.66; p < .001), purging AN-subtype (ß = 1.91; p = .013) and higher EDI-2 asceticism (ß = 0.12; p = .030). Furthermore, differences between treatment sites were evident.

CONCLUSIONS

BMI at admission and AN-subtype are routinely assessed variables, which are robust and clinically meaningful predictors of LOS. Health care policies might consider these variables. In light of the differences between treatment sites future research on geographical variations in mental health care seems recommended.

Для цитирования: Kästner D, Löwe B, Weigel A, Osen B, Voderholzer U, Gumz A. Factors influencing the length of hospital stay of patients with anorexia nervosa - results of a prospective multi-center study.. BMC health services research. 2018. DOI: 10.1186/s12913-017-2800-4.

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