1. Identifying Targets to Improve Heart Failure Outcomes for Patients Receiving Home Healthcare Services
- Author
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Youjeong Kang, Kathi Mooney, Josef Stehlik, and Xiaoming Sheng
- Subjects
Male ,medicine.medical_specialty ,Activities of daily living ,MEDLINE ,030204 cardiovascular system & hematology ,Medicare ,Severity of Illness Index ,Centers for Medicare and Medicaid Services, U.S ,Article ,03 medical and health sciences ,0302 clinical medicine ,Outcome Assessment, Health Care ,Health care ,medicine ,Humans ,Disabled Persons ,030212 general & internal medicine ,Aged ,Aged, 80 and over ,Heart Failure ,Cardiac Rehabilitation ,business.industry ,General Medicine ,medicine.disease ,Home Care Services ,Patient Discharge ,United States ,Heart failure ,Physical therapy ,Female ,Functional status ,business ,Medicaid - Abstract
Heart failure (HF) is one of the leading causes of rehospitalization in the United States. Due to the complex nature of HF, the provision of Medicare-certified home healthcare services has increased. Medicare-certified home healthcare agencies measure and report patients' outcomes such as functional status, activities of daily living (ADL), and instrumental activities of daily living to the Centers for Medicare and Medicaid Services. These metrics are assessed using the Outcome and Assessment Information Set (OASIS). As a large data set, OASIS has been used to advance care quality in multiple ways including identifying risk factors for negative patient outcomes. However, there is a lack of OASIS analyses to assess the relationship between functional status and the role of other factors, such as pain, in impeding recovery after hospitalization among HF patients. Therefore, the purpose of this study is to identify the relationship between functional status and pain using the OASIS database. Among 489 HF patients admitted to home healthcare, 83% were White, 57% were female, and the median age was 80. Patients who reported daily but not constant activity-interfering pain at discharge demonstrated the least improvement in functional performance as measured by ADLs, whereas patients without activity-interfering pain demonstrated the greatest improvement in ADL performance (p value = 0.0284). Tracking individual patient ADL scores, particularly the frequency of activity-interfering pain, could be a key indicator for clinical focus for patients with HF in the home healthcare setting.
- Published
- 2020
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