| Literature DB >> 27345185 |
Julie Wright Nunes, Meghan Roney, Eve Kerr, Akinlolu Ojo, Angela Fagerlin.
Abstract
AIMS: We elicited input from patients on their experience getting a chronic kidney disease (CKD) diagnosis to use for optimizing current CKD education interventions.Entities:
Mesh:
Year: 2016 PMID: 27345185 PMCID: PMC5012189 DOI: 10.5414/CN108831
Source DB: PubMed Journal: Clin Nephrol ISSN: 0301-0430 Impact factor: 0.975
Topic areas of interview questions based on cause/effect analysis and quality function deployment.
| Quality improvement method | Topic areas for questions |
|---|---|
| Cause and effect analysis: “Effects” | Cause and effect analysis: “Causes” (patient, provider, system, environment) |
| Low patient CKD knowledge Non-optimal shared decision making Patient management/treatment decision conflict Non-optimal patient self-care, engagement Kidney disease complications, progression | What are causes for low patient disease knowledge? Where are self-care information needs unmet? What are barriers to shared decision making? What decisions do patients face about treatment, management? What factors influence them? What areas of management/treatment are difficult for patients? What are influencing factors in management decisions and daily self-care? What are causes to non-optimal patient self-care, and engagement? |
| Quality function deployment | Attributes of decision aid and relative importance |
| Preferences, needs, and desires to support patient education, decision making, patient self-efficacy, self-care, and disease management | What information is most important to know about CKD diagnosis? What information is most important to support patient self-care and management decisions? What attributes are most important in format, delivery and implementation of decision aids? What requirements (resources, needs, desires) do providers/patients have for using a decision aid practice? |
Baseline participant characteristics, self-reported.
| Characteristic (N = 49) | Mean (SD) or n (%) |
|---|---|
| Age (years) | 62 (14) |
| Female | 25 (51%) |
| Race* | |
| White | 39 (81%) |
| Black | 5 (10%) |
| Asian | 2 (4%) |
| Middle-Eastern | 1 (2%) |
| Multi-race | 1 (2%) |
| Annual household income+ | |
| < $25,000 | 12 (27%) |
| $25,000 – 50,000 | 10 (22%) |
| ≥ $50,000 | 23 (51%) |
| Formal education/highest number of years completed | |
| ≤ H.S. diploma | 13 (27%) |
| Some college | 15 (31%) |
| Bachelor degree | 11 (22%) |
| Post-graduate | 10 (20%) |
| Partnered or married | 28 (58%) |
| eGFR mL/min/1.73m2 (from records, closest to visit) | 1 (8%) |
| > 60 | 6 (12%) |
| 45 – 59 | 6 (12%) |
| 30 – 44 | 16 (33%) |
| 15 – 29 | 17 (35%) |
| < 15 | 4 (8%) |
| Knew cause of CKD# | 25 (51%) |
| Diabetes | 8 (32%) |
| High blood pressure | 8 (32%) |
| Cystic disease | 4 (16%) |
| Other (included glomerulonephritis, infection, age, medication, stones) | 11 (44%) |
*n = 48 reported; +n = 45 reported; #patient may have listed more than one cause.