| Literature DB >> 26590133 |
Krista Ryz1, Navdeep Tangri2,3,4,5, Mauro Verrelli6,7,8, Jan Schneider9,10, Amie Lesyk11, Amanda Eng12, Brett Hiebert13, Reid H Whitlock14, Manish M Sood15, Claudio Rigatto16,17,18,19, Paul Komenda20,21,22,23.
Abstract
BACKGROUND: Chronic kidney disease (CKD) has a major impact on patient health and health system resources. The prevalence of kidney disease is increasing, with Manitoba being one of the provinces in Canada with the highest per capita rate of CKD and end stage renal disease (Anonymous, Canadian organ replacement register annual report: treatment of end-stage organ failure in Canada, 2001-2010, 2011). In 2011, a public health campaign to promote kidney health, by increasing awareness of CKD and its risk factors, was created to target high-risk individuals such as First Nations and those with hypertension and diabetes in urban and rural/remote Manitoba. In this study, we aimed to determine the effectiveness of this public health campaign on increasing the awareness of CKD.Entities:
Mesh:
Year: 2015 PMID: 26590133 PMCID: PMC4654924 DOI: 10.1186/s13104-015-1662-2
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Fig. 1Manitoba Omnibus survey April 2011: research on kidney disease advertising
Identification of key themes of campaign among aware respondents
| Theme | February 2011 % (N = 56) | April 2011 % (N = 192) |
|
|---|---|---|---|
| Raise awareness of kidney disease | 16 (29) | 57 (30) | 0.87 |
| Take care of your kidneys or health | 16 (29) | 37 (19) | 0.14 |
| Get checked for kidney disease | 6 (11) | 24 (13) | 0.72 |
| Support the kidney foundation | – | 26 (14) | – |
| Donate organs | – | 25 (13) | – |
| Diabetes-related message | – | 6 (3) | – |
| Kidneys are important | 1 (2) | 4 (2) | 1.00 |
| Other | 5 (9) | 7 (4) | 0.11 |
| Don’t know/no response | 17 (30) | 35 (18) | 0.05 |
Respondents could provide more than one response; totals may sum to more than 100 %
Subgroup analysis of factors influencing pre and post-interventiona
| Variable | Pre-intervention (n = 804) | Post-intervention (n = 802) | Improved pre vs. post | ||
|---|---|---|---|---|---|
| Aware | Not aware | Aware | Not aware | P value | |
| Sex | |||||
| Male | 24 | 321 | 80 | 256 | <0.0001 |
| Female | 32 | 417 | 112 | 345 | <0.0001 |
| Location | |||||
| Winnipeg (urban) | 44 | 430 | 133 | 336 | <0.0001 |
| Non-winnipeg (rural/remote) | 12 | 309 | 59 | 265 | <0.0001 |
| Age group | |||||
| Age 18–39 | 19 | 242 | 74 | 159 | <0.0001 |
| Age 40–64 | 25 | 343 | 79 | 275 | <0.0001 |
| Age 65+ | 11 | 152 | 39 | 167 | 0.0007 |
| Educational attainment | |||||
| <High school | 7 | 88 | 11 | 70 | 0.1800 |
| High school | 11 | 285 | 67 | 219 | <0.0001 |
| University/college graduate | 36 | 348 | 110 | 294 | <0.0001 |
| Household income | |||||
| Under 35 k | 14 | 116 | 24 | 104 | 0.0700 |
| 35–75 k | 10 | 230 | 72 | 178 | <0.0001 |
| Over 75 k | 19 | 219 | 53 | 183 | <0.0001 |
aSome respondents declined to give certain or all demographic information
Fig. 2Cohort derivation
Fig. 3Awareness by region
Fig. 4Awareness by income level