Development and validation of a score to assess complexity of general internal medicine patients at hospital discharge: a prospective cohort study.

Liechti, Fabian D.; Beck, Thomas; Ruetsche, Adrian; Roumet, Marie C; Limacher, Andreas; Tritschler, Tobias; Donzé, Jacques (2021). Development and validation of a score to assess complexity of general internal medicine patients at hospital discharge: a prospective cohort study. BMJ open, 11(5), e041205. BMJ Publishing Group 10.1136/bmjopen-2020-041205

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OBJECTIVE

We aimed to develop and validate a score to assess inpatient complexity and compare its performance with two currently used but not validated tools to estimate complexity (ie, Charlson Comorbidity Index (CCI), patient clinical complexity level (PCCL)).

METHODS

Consecutive patients discharged from the department of medicine of a tertiary care hospital were prospectively included into a derivation cohort from 1 October 2016 to 16 February 2017 (n=1407), and a temporal validation cohort from 17 February 2017 to 31 March 2017 (n=482). The physician in charge assessed complexity. Potential predictors comprised 52 parameters from the electronic health record such as health factors and hospital care usage. We fit a logistic regression model with backward selection to develop a prediction model and derive a score. We assessed and compared performance of model and score in internal and external validation using measures of discrimination and calibration.

RESULTS

Overall, 447 of 1407 patients (32%) in the derivation cohort, and 116 of 482 patients (24%) in the validation cohort were identified as complex. Eleven variables independently associated with complexity were included in the score. Using a cut-off of ≥24 score points to define high-risk patients, specificity was 81% and sensitivity 57% in the validation cohort. The score's area under the receiver operating characteristic (AUROC) curve was 0.78 in both the derivation and validation cohort. In comparison, the CCI had an AUROC between 0.58 and 0.61, and the PCCL between 0.64 and 0.69, respectively.

CONCLUSIONS

We derived and internally and externally validated a score that reflects patient complexity in the hospital setting, performed better than other tools and could help monitoring complex patients.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Clinic of General Internal Medicine
04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Clinic of General Internal Medicine > Centre of Competence for General Internal Medicine
04 Faculty of Medicine > Pre-clinic Human Medicine > CTU Bern

UniBE Contributor:

Liechti, Fabian; Beck, Thomas A.; Roumet, Marie Camille; Limacher, Andreas; Tritschler, Tobias and Donzé, Jacques

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2044-6055

Publisher:

BMJ Publishing Group

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Andrea Flükiger-Flückiger

Date Deposited:

12 May 2021 16:08

Last Modified:

12 May 2021 17:25

Publisher DOI:

10.1136/bmjopen-2020-041205

PubMed ID:

33958334

Uncontrolled Keywords:

general medicine (see internal medicine) internal medicine primary care quality in health care social medicine

BORIS DOI:

10.48350/156335

URI:

https://boris.unibe.ch/id/eprint/156335

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