No abstract

No abstract

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Hypertension is a lifelong condition; thus, long-term adherence to lifestyle modification, self-monitoring, and medication regimens remains a challenge for patients. The aim of this study was to develop a patient-reported hypertension instrument that measured attitudes, lifestyle behaviors, adherence, and barriers to hypertension management using patient-reported outcome data. The study was conducted using the Open Research Exchange software platform created by PatientsLikeMe. A total of 360 participants completed the psychometric phase of the study; incomplete responses were obtained from 147 patients, and 150 patients opted out. Principal component analysis with orthogonal (varimax) rotation was executed on a data set with all completed responses (N = 249) and applied to 43 items. Based on the review of the factor solution, eigenvalues, and item loadings, 16 items were eliminated and model with 29 items was tested. The process was repeated two more times until final model with 14 items was established. In interpreting the rotated factor pattern, an item was said to load on any given component if the factor loading was ≥0.40 for that component and was <0.40 for the other. In addition to the newly generated instrument, demographic and self-reported clinical characteristics of the study participants such as the type of prescribed hypertension medications, frequency of blood pressure monitoring, and comorbid conditions were examined. The Open Research Exchange platform allowed for ongoing input from patients through each stage of the 14-item instrument development.

Introduction:The Centers for Medicare and Medicaid uses the standardized readmission ratio (SRR) to evaluate 30-day readmissions among dialysis providers in the U.S. Readmissions among dialysis recipients remains 37%. This study investigates associations among dialysis facilities and patient characteristics with facility's performance on the SRR.Methods:Descriptive, longitudinal, approach using multivariate regression analysis on data retrieved from the Dialysis Facility Report to evaluate the associations between facility-level (staffing, profit status, chain membership, clinic size, care, length of care, vascular access type, glomerular filtration rate (GFR), creatinine, hemoglobin, use of erythropoietin-stimulating agent, albumin, and primary dialysis modality) with the SRR.Results:Factors associated with a high SRR included nurse ratios, facility average GFR, and Northeast geographic location. Factors associated with a low SRR included patient care technician ratio, length of predialysis nephrology care, initiation of dialysis with an arteriovenous fistula, average hemoglobin, and Western geographic location.Conclusions:This study defines the influence predialysis nephrology care has on dialysis facilities SRRs. Access to care, adequate preparation for dialysis, and transitional support affect facilities' performance; however, without an appropriate staffing model, dialysis facilities may continue to struggle to reduce readmissions.