title: Identifying elderly depression using the Depression Rating Scale as part of comprehensive standardised care assessment in nursing homes.
abstract: OBJECTIVE
  This study used data from the SHELTER (Services and Health for Elderly in Long TERm care) project to explore the benefits of using the Depression Rating Scale (DRS) as part of a standardised needs assessment in UK nursing homes, including a statistical method of effectively identifying characteristics linking to residents' depression.
  
  
  METHODS
  About 499 residents in nine nursing homes in south-east England were assessed with interRAI Long Term Care Facilities (interRAI LTCF), a standardised assessment tool containing the validated DRS residents who scored 3 or more on the DRS were considered 'might suffer from depression'. A list of characteristics associated with depression was then examined using bivariate analysis and logistic regression.
  
  
  RESULTS
  Among the 499 residents assessed, 67.5% were not depressed (DRS < 3) and 32.3% might suffer from depression (DRS ≥ 3). The final logistic model showed 'never married' (p = 0.019), 'diagnosis of COPD' (COPD, chronic obstructive pulmonary disease) (p = 0.015), 'feelings of pain' (p = 0.015) and 'trouble sleeping' (p < 0.001) were significantly associated with reporting of DRS score of 3 and more.
  
  
  CONCLUSIONS
  The article argued that DRS has distinctive advantages for using in UK nursing homes where a preponderance of residents is cognitively impaired, the procedure of screening depression is not regulated and resources to treat depression is relatively scarce. This article also demonstrated how using the DRS as part of a comprehensive standardised needs assessment facilitates analysis of characteristics linking to depression, which has significant policy implications in improving care quality and management.
authors.affiliation: Centre for Health Services Studies, University of Kent, Canterbury, UK. y.c.huang@kent.ac.uk
authors.forename: Yachien
authors.initials: Y
authors.lastname: Huang
authors.forename: Iain
authors.initials: I
authors.lastname: Carpenter
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003863:Depression / Q000175:diagnosis*; D004739:England; D005260:Female; D015577:Geriatric Assessment / Q000379:methods*; D006801:Humans; D016015:Logistic Models; D008297:Male; D009735:Nursing Homes; D011795:Surveys and Questionnaires