Buy this Article for $10.95

Have a coupon or promotional code? Enter it here:

When you buy this you'll get access to the ePub version, a downloadable PDF, and the ability to print the full article.

Keywords

automated data retrieval, heart failure, patient education, readmission, self-care

 

Authors

  1. Thomas, Valorie MS, RN
  2. Riegel, Barbara DNSc, RN, CS, FAAN

Abstract

Heart failure (HF) is both highly prevalent and costly to society. Successful self-care is essential to effective HF management. This study sought to develop a method to identify, via medical records (International Classification of Diseases, 9th Revision, Clinical Modification) coding, HF admissions attributable to ineffective self-care. Expert panels completed an iterative series of mailed surveys to generate and validate a list of coded diagnoses that represent HF sequelae modifiable through self-care. Sixteen diagnoses resulted. Chart review at one hospital revealed that these modifiable sequelae were frequently present but not coded. A computerized method of identifying self-care deficits would allow nurses to identify patients in need of patient education.