How the Elderly Live With Pain in Heart Failure

Overview

The How the Elderly Live with Pain in Heart Failure (HELP-HF) study provides the opportunity to assess the complaints of pain in a cohort of HF patient admitted to Thomas Jefferson University Hospital (TJUH). Additional information on their existing co-morbid conditions, an inventory of their prescribed medications, and details regarding the type of treatment interventions (over the counter analgesia and other comfort practices) they report using will be collected.

Study Events Patients admitted to TJUH with a HF diagnosis will be identified by intensive clinical research coordinator screening methods. The potential subjects will be approached in the acute care area for interview and consent to participate. At that visit, the variables of interest will be collected and the questionnaires completed. Following discharge, the subjects will be re-interviewed at follow-up clinic visits or by telephone, depending on whether the visit is to a Jefferson University Physician provider or to an outside provider or as circumstances allow. Subjects will sign an informed consent to participate in HELP-HF. A selection of assessment questionnaires (listed below) and performance measures will be completed during the index hospitalization and at a subsequent follow up clinic visits or by telephone call. Some of these assessments involve data collection from standard of care encounters or tests and will be abstracted from the medical record. The Kansas City Cardiomyopathy Questionnaire (KCCQ) The KCCQ is a valid, reliable and responsive health status measure for HF patients and serves as a clinically meaningful outcome assessment tool that is widely used in cardiovascular research, patient management, and quality of life self-assessment.12 The Brief Pain Inventory (BPI) The BPI is one of the most widely used measurement tools for assessing clinical pain. It allows patients to rate the severity of their pain and the degree to which their pain interferes with common dimensions of feeling and function. Initially developed to assess pain related to cancer, the BPI has validated as an appropriate measure for pain caused by a wide range of clinical conditions. , The Charlson Co-Morbidity Index (CCI) Comorbidity describes the effect of all other diseases an individual patient might have other than the primary disease of interest. The CCI is used to characterize comorbid medical conditions and allows inferences about the extent to which symptoms and other factors related to quality of life may be attributable to conditions other than HF. The CCI designates comorbid conditions in 19 categories and each category has an associated weight based on the adjusted risk of one-year mortality, and the overall comorbidity score reflects the cumulative increased likelihood of one-year mortality. Charlson scores can range between 0 and 35, with a higher score indicating increase in burden of comorbid disease. OTC Medication Inventory A comprehensive list of any over the counter (OTC) medications will be collected and reconciled via review of the electronic medical records and by subject interview. Brief Interventions Measures (BIM) The BIM questionnaire is a novel tool developed for use in the HELP-HF study. It is adapted from similar questionnaires used in palliative oncology care and incorporates an inventory of comfort measure identified in the literature. These include measures like application of heat or cold, massage, and other self-selected therapies. Case Report Form and Data Capture A paper case report form (data collection tool) will be developed for each subject's study records. All data will be entered by study personnel into a password-protected database using the REDCap (Research Electronic Data Capture) system. REDCap is a secure, web-based application designed to support electronic data capture for research studies. REDCap is used by selected areas within the University. It is a service available via a free collaboration with the NIH CTSA structure and accessed at TJU with permission and oversight via internal Information Systems at the University's Kimmel Cancer Center. REDCap allows for monitored dual data entry via a web-based system that is maintained on a protected server and will be used by the study investigators, coordinators and statistician. Statistical Analyses Plan Subject demographics and co-morbidities as well as characteristics of the self-reported pain, treatment selections, and efficacy will be reported as medians and interquartile ranges (IQRs) for continuous variables and as percentages of non-missing values for categorical variables. Patients will be stratified by pain scores. Univariate comparisons between patients with and without pain will be performed using the Pearson χ2 test for categorical variables and the Wilcoxon rank-sum test for continuous and ordinal variables.

Conditions

Eligibility

Locations (1)

Outcomes