| Literature DB >> 28422968 |
Sue Wells1, Natasha Rafter2, Timothy Kenealy3, Geoff Herd4, Kyle Eggleton3, Rose Lightfoot5, Kim Arcus6, Angela Wadham2, Yannan Jiang2, Chris Bullen2.
Abstract
OBJECTIVES: To assess the effect of a point of care (POC) device for testing lipids and HbA1c in addition to testing by community laboratory facilities (usual practice) on the completion of cardiovascular disease (CVD) risk assessments in general practice.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28422968 PMCID: PMC5396877 DOI: 10.1371/journal.pone.0174504
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Consort diagram of participation.
Characteristics of patients who had an on-line CVD risk assessment form opened in the 8 months before and after 12 months commencement of the trial.
| Before Trial (Sep 2013 –Apr 2014) | Trial Period (May 2014 –Jun 2015) | |||||||
|---|---|---|---|---|---|---|---|---|
| Control (N = 4090) | POC (N = 4965) | Control (N = 6217) | POC (N = 7421) | |||||
| n | % | N | % | n | % | N | % | |
| Female | 1859 | 45.5 | 2258 | 45.5 | 2806 | 45.1 | 3346 | 45.1 |
| Ethnicity | ||||||||
| Māori | 1210 | 29.6 | 1681 | 33.9 | 1866 | 30.0 | 2521 | 34.0 |
| Pacific | 56 | 1.4 | 56 | 1.1 | 109 | 1.8 | 113 | 1.5 |
| Indian | 18 | 0.4 | 27 | 0.5 | 40 | 0.6 | 46 | 0.6 |
| Other | 2806 | 68.6 | 3201 | 64.5 | 4202 | 67.6 | 4741 | 63.9 |
| Age group (years) | ||||||||
| 35–44 | 300 | 7.3 | 383 | 7.7 | 475 | 7.6 | 651 | 8.8 |
| 45–54 | 1031 | 25.2 | 1475 | 29.7 | 1583 | 25.5 | 2036 | 27.4 |
| 55–64 | 1360 | 33.3 | 1717 | 34.6 | 2127 | 34.2 | 2483 | 33.5 |
| 65–74 | 1256 | 30.7 | 1226 | 24.7 | 1724 | 27.7 | 1919 | 25.9 |
| 75–79 | 143 | 3.5 | 164 | 3.3 | 308 | 5.0 | 332 | 4.5 |
| Mean age (std) | 59.2 (10.0) | 57.8 (9.8) | 58.9 (10.2) | 58.2 (10.2) | ||||
| NZDep quintile | ||||||||
| 1 | 222 | 5.4 | 407 | 8.2 | 411 | 6.6 | 538 | 7.3 |
| 2 | 436 | 10.7 | 676 | 13.6 | 714 | 11.5 | 993 | 13.4 |
| 3 | 954 | 23.3 | 983 | 19.8 | 1445 | 23.2 | 1382 | 18.6 |
| 4 | 1146 | 28.0 | 1144 | 23.0 | 1773 | 28.5 | 1918 | 25.9 |
| 5 | 1259 | 30.8 | 1660 | 33.4 | 1771 | 28.5 | 2386 | 32.2 |
| Family history CVD | 877 | 21.4 | 901 | 18.2 | 1230 | 19.8 | 1317 | 17.8 |
| Current smoker | 777 | 19.0 | 1086 | 21.9 | 1273 | 20.5 | 1662 | 22.4 |
| Diabetes | 805 | 19.7 | 854 | 17.2 | 1225 | 19.7 | 1385 | 18.7 |
aNZDep Missing data on 168 patients before trial and 307 patients during the trial as not a compulsory field for CVD risk assessment
Data completion in CVD risk assessments in the 12 months post randomisation.
| Completed CVD assessment | Treatment Group | ||||
|---|---|---|---|---|---|
| Control | POC | ||||
| n | % | n | % | ||
| All Practices | |||||
| Overall | TOTAL | 6217 | 100.00 | 7421 | 100.00 |
| No | 30 | 0.48 | 36 | 0.49 | |
| Yes | 6187 | 99.52 | 7385 | 99.51 | |
| Practice by size | |||||
| Large | TOTAL | 5184 | 83.38 | 6798 | 91.60 |
| No | 22 | 0.42 | 34 | 0.50 | |
| Yes | 5162 | 99.58 | 6764 | 99.50 | |
| Small | TOTAL | 1033 | 16.62 | 623 | 8.40 |
| No | 8 | 0.77 | 2 | 0.32 | |
| Yes | 1025 | 99.23 | 621 | 99.68 | |
| Practice location | |||||
| Rural | TOTAL | 3894 | 62.63 | 5168 | 69.64 |
| No | 15 | 0.39 | 23 | 0.45 | |
| Yes | 3879 | 99.61 | 5145 | 99.55 | |
| Urban | TOTAL | 2323 | 37.37 | 2253 | 30.36 |
| No | 15 | 0.65 | 13 | 0.58 | |
| Yes | 2308 | 99.35 | 2240 | 99.42 | |
Yes—completed individual patient CVD risk assessment with all data present (age, gender, ethnicity, history of CVD, diabetes diagnosis, family history, smoking status, BP, TC/HDL and either HbA1c or fasting glucose).
bNo–incomplete or “parked” CVD risk assessment- one of more data elements missing.
Important subgroup factors (age, gender, ethnicity, history of CVD, diabetes diagnosis, family history, smoking status, BP, TC/HDL and either HbA1c or fasting glucose) were investigated in all regression analyses. As only age per year and diabetes status were significantly associated with the primary outcome, the remaining co-variates were removed from the final model. After adjusting for age in years (adjusted odds ratio OR 1.05 95% CI 1.03–1.08) and diabetes status (adjusted odds ratio OR 12.57 95% CI 1.74–90.87), there were no significant differences in CVD risk assessment completion between the two groups (adjusted odds ratio 1.02; 95% CI 0.61–1.69). The estimated ICC coefficient was 0.002, so any potential cluster effect was considered negligible. Of the CVD risk assessments in the intervention practices, 98% were completed using community laboratory values, 2% (124/7421) by POC device. This is not surprising given blood tests up to five years old in a patient’s electronic record could be used to complete a risk assessment entry. In terms of device use, 94% were completed by large practices and 78% in rural clinics.