RATIONALE: Discharge planning is a nursing intervention that aims to ensure continuity of care; it consists of several steps of which selecting patients in need of it is the first one. The Blaylock Risk Assessment Screening Score (BRASS) index is a risk screening instrument which can be used early after admission to identify those patients in need of discharge planning. AIM: To test the predictive validity of the BRASS index in screening patients with post-discharge problems. DESIGN: Prospective longitudinal design with prediction instrument measured at admission, and outcomes measured at discharge and 7 and 30 days after discharge. OUTCOME MEASURES: length of stay, discharge destination, status after discharge. INSTRUMENTS: BRASS index, Problems after discharge Questionnaire, Nottingham Health Profile, COOP/WONCA charts. RESEARCH METHOD: 503 elderly patients were screened at admission with the BRASS index. Length of stay and discharge destination were measured at discharge in these same patients. Outcomes after discharge were gathered only in patients who were discharged home and with length of stay of more than 3 days (n=226); outcomes were measured by postal questionnaires at day 7 and day 30 after discharge. RESULTS: patients identified by the BRASS index as high risk are frequently not discharged home and have a longer length of stay. The BRASS scores correlate significantly with the outcome scores after discharge: the higher the BRASS score, the higher the difficulty score after discharge on all domains. However, the sensitivity of the BRASS index is rather low. CONCLUSION: This study demonstrates that the BRASS index is a good predictor instrument for indicating patients who are not discharged home, that the BRASS scores correlate significantly with problems experienced after discharge and that it has high specificity to predict patients with problems after discharge. Clinical use, however, is limited due to the low sensitivity. The BRASS index is a promising case-finding instrument for discharge planning, but needs further development.
RATIONALE: Discharge planning is a nursing intervention that aims to ensure continuity of care; it consists of several steps of which selecting patients in need of it is the first one. The Blaylock Risk Assessment Screening Score (BRASS) index is a risk screening instrument which can be used early after admission to identify those patients in need of discharge planning. AIM: To test the predictive validity of the BRASS index in screening patients with post-discharge problems. DESIGN: Prospective longitudinal design with prediction instrument measured at admission, and outcomes measured at discharge and 7 and 30 days after discharge. OUTCOME MEASURES: length of stay, discharge destination, status after discharge. INSTRUMENTS: BRASS index, Problems after discharge Questionnaire, Nottingham Health Profile, COOP/WONCA charts. RESEARCH METHOD: 503 elderly patients were screened at admission with the BRASS index. Length of stay and discharge destination were measured at discharge in these same patients. Outcomes after discharge were gathered only in patients who were discharged home and with length of stay of more than 3 days (n=226); outcomes were measured by postal questionnaires at day 7 and day 30 after discharge. RESULTS:patients identified by the BRASS index as high risk are frequently not discharged home and have a longer length of stay. The BRASS scores correlate significantly with the outcome scores after discharge: the higher the BRASS score, the higher the difficulty score after discharge on all domains. However, the sensitivity of the BRASS index is rather low. CONCLUSION: This study demonstrates that the BRASS index is a good predictor instrument for indicating patients who are not discharged home, that the BRASS scores correlate significantly with problems experienced after discharge and that it has high specificity to predict patients with problems after discharge. Clinical use, however, is limited due to the low sensitivity. The BRASS index is a promising case-finding instrument for discharge planning, but needs further development.
Authors: Antoinette Conca; Angela Gabele; Barbara Reutlinger; Philipp Schuetz; Alexander Kutz; Sebastian Haubitz; Lukas Faessler; Marcus Batschwaroff; Ursula Schild; Zeljka Caldara; Katharina Regez; Susanne Schirlo; Gabi Vossler; Timo Kahles; Krassen Nedeltchev; Anja Keller; Andreas Huber; Sabina De Geest; Ulrich Buergi; Petra Tobias; Martine Louis Simonet; Beat Mueller; Petra Schäfer-Keller Journal: BMC Health Serv Res Date: 2018-02-13 Impact factor: 2.655
Authors: Martine Louis Simonet; Michel P Kossovsky; Pierre Chopard; Philippe Sigaud; Thomas V Perneger; Jean-Michel Gaspoz Journal: BMC Health Serv Res Date: 2008-07-22 Impact factor: 2.655