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1.
J Am Geriatr Soc ; 62(10): 1962-7, 2014 Oct.
Article in English | MEDLINE | ID: mdl-25283552

ABSTRACT

Residents of long-term care facilities have highly complex care needs and quality of care is of international concern. Maintaining resident wellness through proactive assessment and early intervention is key to decreasing the need for acute hospitalization. The Residential Aged Care Integration Program (RACIP) is a quality improvement intervention to support residential aged care staff and includes on-site support, education, clinical coaching, and care coordination provided by gerontology nurse specialists (GNSs) employed by a large district health board. The effect of the outreach program was evaluated through a randomized comparison of hospitalization 1 year before and after program implementation. The sample included 29 intervention facilities (1,425 residents) and 25 comparison facilities (1,128 residents) receiving usual care. Acute hospitalization rate unexpectedly increased for both groups after program implementation, although the rate of increase was significantly less for the intervention facilities. The hospitalization rate after the intervention increased 59% for the comparison group and 16% for the intervention group (rate ratio (RR) = 0.73, 95% confidence interval (CI) = 0.61-0.86, P < .001). Subgroup analysis showed a significantly lower rate change for those admitted for medical reasons for the intervention group (13% increase) than the comparison group (69% increase) (RR = 0.67, 95% CI = 0.56-0.82, P < .001). Conversely, there was no significant difference in the RR for surgical admissions between the intervention and comparison groups (RR = 1.0, 95% CI = 0.68-1.46, P = .99). The integration of GNS expertise through the RACIP intervention may be one approach to support staff to provide optimal care and potentially improve resident health.


Subject(s)
Geriatric Nursing , Hospitalization/statistics & numerical data , Nurse Clinicians , Nursing Homes , Aged , Aged, 80 and over , Humans , Long-Term Care , New Zealand , Program Evaluation , Quality Improvement
2.
Acad Emerg Med ; 15(7): 598-606, 2008 Jul.
Article in English | MEDLINE | ID: mdl-18691210

ABSTRACT

OBJECTIVE: The objective was to test the ability of the Brief Risk Identification for Geriatric Health Tool (BRIGHT) to identify older emergency department (ED) patients with functional and physical impairment. METHODS: This was a cross-sectional study in which 139 persons > or = 75 years, who presented to an urban New Zealand ED over a 12-week period, completed the 11-item BRIGHT case-finding tool. Then, within 10 days of their index ED visit, 114 persons completed a comprehensive geriatric assessment. A "yes" response to at least 3 of the 11 BRIGHT items was considered "positive." Primary outcome measures were instrumental activities of daily living (IADL), cognitive performance scale (CPS), and activities of daily living (ADL). RESULTS: The BRIGHT-identified IADL deficit (64% prevalence) with a sensitivity of 0.76, specificity of 0.79, and receiver operating characteristic (ROC) of 0.83 (95% confidence interval [CI] = 0.74 to 0.91, p < 0.01); cognitive deficit (35% prevalence) sensitivity of 0.78, specificity of 0.54, and ROC of 0.66 (95% CI = 0.55 to 0.76, p = 0.006); and ADL deficit (29% prevalence) sensitivity of 0.83, specificity of 0.53, and ROC of 0.64 (95% CI = 0.53 to 0.75, p = 0.020). Positive likelihood ratios (LR+) for the three outcomes of interest were 3.6, 1.7, and 1.8, respectively. Negative likelihood ratios (LR-) were 0.3, 0.4, and 0.3. CONCLUSIONS: The 11-item BRIGHT successfully identifies older adults in the ED with decreased function and may be useful in differentiating elder patients in need of comprehensive assessment.


Subject(s)
Activities of Daily Living , Cognition Disorders/diagnosis , Emergency Service, Hospital/organization & administration , Geriatric Assessment , Aged , Area Under Curve , Cognition Disorders/epidemiology , Cross-Sectional Studies , Female , Humans , Male , New Zealand/epidemiology , Prevalence , Sensitivity and Specificity
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