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Int. J. Clin. Pract. · Sep 2017
The Maastricht Frailty Screening Tool for Hospitalised Patients (MFST-HP) to Identify Non-Frail Patients.
- Ron M J Warnier, Erik van Rossum, van KuijkSander M JSMJClinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands., Wubbo J Mulder, ScholsJos M G AJMGACare and Public Health Research Institute (CAPHRI), Department of Health Services Research, Maastricht University, Maastricht, The Netherlands.Care and Public Health Research Institute (CAPHRI), Department of Family Medicine, Maastricht, and KempenGertrudis I J MGIJMCare and Public Health Research Institute (CAPHRI), Department of Health Services Research, Maastricht University, Maastricht, The Netherlands..
- Care and Public Health Research Institute (CAPHRI), Department of Health Services Research, Maastricht University, Maastricht, The Netherlands.
- Int. J. Clin. Pract. 2017 Sep 1; 71 (9).
BackgroundThe Maastricht frailty screening tool for hospitalised patients (MFST-HP) is a frailty screening tool that is fully integrated in the nursing assessment at admission. This study aims to determine the predictive value of the MFST-HP for the health outcomes length of hospital stay, discharge destination, readmission and mortality.MethodsData of 2691 hospitalised patients (70+), admitted between 01-01-2013 and 31-12-2013, were included in the study. The predictive value of the MFST-HP was analysed by means of receiver operating characteristics curves. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for different MFST-HP cut-off scores were examined.ResultsMean age of the population was 78.9 years (SD 6.4) and their average length of stay was 10.2 days (SD 9.7). Nearly 75.0% of the patients were discharged to their home and around. Approximately 25% of the patients were readmitted within 120 days. Mortality rates were 4.3% and 9.5% (within 30 or 120 days postdischarge, respectively). The area under the curve was moderate and varied from 0.50 to 0.69 for the different outcomes. As a result of high values on negative predictive value (between 73.5% and 96.7%) the MFST-HP is able to rule out a large proportion of non-frail patients. In this study 84% of the patients had a MFST-HP score of ≥ 6, suggested as most favourable cut off.ConclusionsThe MFST-HP seems to operate more strongly as a non-frailty indicator than as a frailty indicator and may in this respect help professionals to decide upon subsequent care. The MFST-HP is able to rule out 84% of the non-frail population in this study. The remaining 16% need to be assessed by means of a comprehensive geriatric assessment or rapid geriatric assessment, to gain more insight in the level of vulnerability in the frail-group.© 2017 John Wiley & Sons Ltd.
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