What question did this study set out to answer?

The aim is to identify factors that differentiate elderly cardiac patients at risk for early readmission post-hospitalization.

February 19, 1992Social Work in Health Care

Predicting Elderly Cardiac Patients at Risk for Readmission

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The aim is to identify factors that differentiate elderly cardiac patients at risk for early readmission post-hospitalization.
Utilized computerized data on 628 patients with cardiac disease, including 238 readmissions.
Applied logistic regression to analyze factors influencing readmission.
Assessed marital status, coping difficulties, and age as predictors.
Patients who were married had a lower likelihood of readmission.
Older individuals and those facing coping difficulties were at increased risk for readmission.
Prediction accuracy was 61%, with 69% correct predictions for no readmission and 49% for readmitted patients.

Structured PICO

Population

628 elder patients with cardiac disease

Outcome

readmission within three monthshard clinical

Psychosocial factors including marital status, coping difficulty, and age can predict 3-month readmission in elderly cardiac patients with modest accuracy, highlighting the need for comprehensive screening tools.

Limitations

key physiological determinants of readmission were not collected

Discussion

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Implication

Psychosocial predictors may aid risk stratification in elderly cardiac patients; leaves open prospective validation before screening adoption.

Cite This Study

Berkman et al. (1992) studied this question.

synapsesocial.com/papers/6a20d033fd936e2c9649c4b4 https://doi.org/10.1300/j010v16n01_03

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Implication

Psychosocial predictors may aid risk stratification in elderly cardiac patients; leaves open prospective validation before screening adoption.

Predicting Elderly Cardiac Patients at Risk for Readmission

Key Points

Structured PICO

Limitations

Discussion

Implication

Cite This Study

Predicting Elderly Cardiac Patients at Risk for Readmission

Key Points

Structured PICO

Limitations

Discussion

Implication

Cite This Study

Also Consider

Also Consider