Factors Effecting Length of Stay in Child Psychiatry Hospital Setting


Creative Commons License

USTA M. B., Urer E., Aral A., SAY G. N., Karabekiroglu K.

KLINIK PSIKIYATRI DERGISI-TURKISH JOURNAL OF CLINICAL PSYCHIATRY, cilt.20, sa.4, ss.263-267, 2017 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 4
  • Basım Tarihi: 2017
  • Doi Numarası: 10.5505/kpd.2017.28290
  • Dergi Adı: KLINIK PSIKIYATRI DERGISI-TURKISH JOURNAL OF CLINICAL PSYCHIATRY
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.263-267
  • Anahtar Kelimeler: Inpatient treatment, child, adolescent, length of stay, risk factors
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Object: Due to the low number of children and adult psychiatric clinics serving in our country, there is limited data in this age group in the literature. In this study, it was aimed to determine the factors affecting the duration of admission in children and adolescents receiving treatment in Samsun Ondokuz Mayys University Medical Faculty Psychiatry Clinic. Methods: Hospital records of 194 children and adolescents aged between 11 and 18 years who were hospitalized at Ondokuz Mayys University Psychiatric Service between January 2013 and December 2015 were retrospectively reviewed. ANOVA and logistic regression analyzes were performed for clinical and sociodemographic data that could effect hospitalization times and multiple admission. Results: 138 of the patients were female and 56 were male. Major depressive disorder patients (n: 79, 41.1%) and the average duration of hospitalization were 8.43 days. The group with the longest mean duration of admission was the Psychotic Disorder group (n: 17, mean: 19.92 days, p: 0.01). In logistic regression analysis for multiple risk factors, Female gender (OR: 2.02) and MDD diagnosis (OR: 1.51) were found to be risk factors for multiple admission. Discussion: In our study, it was observed that the presence of Major Depresive Disorder and female gender was a risk factor for multiple admission. Clinical and sociodemographic features of the disease can be predictive of hospitalization within the treatment plan.