Unknown

Dataset Information

0

Assessing Heuristic Bias During Care for Patients Hospitalized for Heart Failure: Get With The Guidelines-Heart Failure.


ABSTRACT:

Background

Heuristic biases are increasingly recognized, and potentially modifiable, contributors to patient care and outcomes. Left digit bias is a cognitive bias where continuous variables are categorized by their left-most digit. The impact of this heuristic bias applied to patient age on quality of care in heart failure has not been explored.

Methods

We examined participants admitted from 2005 to 2021 in the Get With The Guidelines-Heart Failure registry. To create 2 naturally randomized groups, isolating the effect of left digit bias, we dichotomized patients into those discharged within 60 days prior to their 80th birthday (N=4238) and those discharged within 60 days after their 80th birthday (N=4329). We performed multivariable logistic regression to assess the association between discharge date relative to 80th birthday and several in-hospital quality metrics and in-hospital outcomes. Among Medicare participants (N=2759), we performed adjusted Cox regression to analyze the relationship between discharge date and risk of 1-year mortality or readmission.

Results

Among 8567 patients, 50.4% were female, 73% were non-Hispanic White, and 42.9% had an ejection fraction ≤40%. Discharge date relative to 80th birthday was not associated with numerous in-hospital quality metrics or in-hospital outcomes on unadjusted or adjusted logistic regression. Among Medicare beneficiaries, there was no association between discharge date and risk of mortality or readmission at 1-year postdischarge (hazard ratio, 1.03 [95% CI, 0.95-1.12]; P=0.52).

Conclusions

In a large registry of patients hospitalized for heart failure, we did not detect a left digit bias' with respect to age at discharge, which resulted in differential quality of care or outcomes.

SUBMITTER: Selvaraj S 

PROVIDER: S-EPMC9974743 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Assessing Heuristic Bias During Care for Patients Hospitalized for Heart Failure: Get With The Guidelines-Heart Failure.

Selvaraj Senthil S   Greene Stephen J SJ   Ayodele Iyanuoluwa I   Alhanti Brooke B   Allen Larry A LA   Lewsey Sabra C SC   Adusumalli Srinath S   Reza Nosheen N   Hernandez Adrian F AF   Yancy Clyde W CW   Jena Anupam B AB   Fonarow Gregg C GC   Bhatt Deepak L DL  

Circulation. Heart failure 20221202 2


<h4>Background</h4>Heuristic biases are increasingly recognized, and potentially modifiable, contributors to patient care and outcomes. Left digit bias is a cognitive bias where continuous variables are categorized by their left-most digit. The impact of this heuristic bias applied to patient age on quality of care in heart failure has not been explored.<h4>Methods</h4>We examined participants admitted from 2005 to 2021 in the Get With The Guidelines-Heart Failure registry. To create 2 naturally  ...[more]

Similar Datasets

| S-EPMC9941973 | biostudies-literature
| S-EPMC6991250 | biostudies-literature
| S-EPMC9715844 | biostudies-literature
| S-EPMC4928632 | biostudies-literature
| S-EPMC9673180 | biostudies-literature
| S-EPMC4603423 | biostudies-literature
| S-EPMC8712895 | biostudies-literature
| S-EPMC10111843 | biostudies-literature
| S-EPMC6436508 | biostudies-literature
| S-EPMC9673637 | biostudies-literature