title: A computerized method of identifying potentially preventable heart failure admissions.
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.
authors.affiliation: Clinical Outcomes Research Department, Sharp HealthCare, San Diego, CA, USA.
authors.forename: V
authors.initials: V
authors.lastname: Thomas
authors.forename: B
authors.initials: B
authors.lastname: Riegel
mesh_terms: D000043:Abstracting and Indexing; D001330:Electronic Data Processing / Q000379:methods*; D006333:Heart Failure / Q000145:classification* / Q000191:economics / Q000628:therapy; D006801:Humans; D008499:Medical Records / Q000145:classification; D015403:Nursing Evaluation Research / Q000379:methods; D010353:Patient Education as Topic; D010359:Patient Readmission / Q000706:statistics & numerical data*; D012648:Self Care / Q000009:adverse effects / Q000592:standards*; D016312:Treatment Refusal; D014481:United States