Abstract
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 78.9years (SD 6.4) and their average length of stay was 10.2days (SD 9.7). Nearly 75.0% of the patients were discharged to their home and around. Approximately 25% of the patients were readmitted within 120days. Mortality rates were 4.3% and 9.5% (within 30 or 120days 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 of6, 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.
Original language | English |
---|---|
Article number | e13003 |
Number of pages | 7 |
Journal | International Journal of Clinical Practice |
Volume | 71 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 2017 |
Keywords
- OLDER-ADULTS
- GERIATRIC ASSESSMENT
- PEOPLE
- FEASIBILITY
- RELIABILITY
- INSTRUMENTS
- PREDICTION
- OUTCOMES
- RISK
- CARE