ArticleThe Journal of frailty & aging2026
A new simplified minimum data set better predicts outcomes for individuals admitted to intermediate care functional recovery units in catalonia.
Article in The Journal of frailty & aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Intermediate care functional recovery (ICFR) units in Catalonia, Spain, provide post acute care and geriatric rehabilitation. Providers report a Minimum Data Set (MDS), initially developed to classify patients into resource utilization groups (RUG), to adjust public reimbursement. The MDS, completed by health professionals, is time consuming and diverges from routine clinical assessment. Objectives We developed new intermediate care case-mix indexes (ICMI), based on admission diagnosis and function, and tested whether ICMIs better predict length of stay (LOS) and discharge destination, compared to RUG. Methods We developed the ICMIs using 122,754 ICFRs admissions (years 2017-18-19-22): we categorized individuals by diagnosis and four levels of activities of daily living (ADL). To obtain ICMIs, each category was assigned a weight based on associations with ICFR LOS and "unsuccessful discharge" (death or other service versus home). Then, in the 2023 cohort, we compared the performance of four models (base model (age, sex, income), base+RUG, base+ADL, base+ICMIs) to predict LOS >57 days and unsuccessful discharge. Results The 2023 cohort included 31,640 patients (median age [IQR]=82.0 [75.0;88.0], 57% women). When predicting dichotomous LOS, the area under the ROC curve (AUC) increased from 0.56 [95% CI=0.544-0.57] to 0.56 [95% CI=0.55-0.56] (base+RUG), 0.59 [95% CI=0.58-0.61] (base+ADL), and 0.63 [95% CI=0.62-0.65] (base+ICMI). AUC to predict discharge destination showed similar improvements (0.55 [95% CI=0.54 0.55], 0.59 [95% CI=0.58-0.59], 0.64 [95% CI=0.63-0.64], 0.66 [95% CI=0.65-0.66], respectively). Conclusions In Catalan ICFRs, new, simplified, case-mix indicators improved prediction of LOS and discharge destination, compared to existing tools. This study can inform new policies for intermediate care, adding a validated instrument to improve evaluation and reimbursing systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.