| Literature DB >> 32792422 |
Kim Greaves1, Anita Smith2, Jason Agostino3, Kuhan Kunarajah2, Tony Stanton2, Rosemary Korda3.
Abstract
OBJECTIVES: To describe general practitioners' (GPs') absolute cardiovascular disease risk (ACVDR) self-reported assessment practices and their relationship to knowledge, attitudes and beliefs about ACVDR.Entities:
Keywords: cardiac epidemiology; epidemiology; preventive medicine
Mesh:
Year: 2020 PMID: 32792422 PMCID: PMC7430438 DOI: 10.1136/bmjopen-2019-033859
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
GP characteristics for high and moderate/low assessors
| High assessors | Moderate/low assessors | Total N (%), n=111 | |
| Age range (years) | |||
| ≤34 | 26 (13) | 16 (10) | 23 (21) |
| 35–44 | 46 (23) | 28 (17) | 40 (36) |
| ≥45 | 28 (14) | 57 (34) | 48 (43) |
| Gender | |||
| Female | 62 (31) | 46 (28) | 59 (45) |
| Male | 36 (18) | 52 (32) | 50 (53) |
| Intersex/indeterminate | 50 (1) | 50 (1) | 2 (2) |
| Years worked as GP | |||
| ≤5 | 44 (22) | 21 (13) | 35 (32) |
| 6–15 | 30 (15) | 36 (22) | 37 (33) |
| ≥16 | 26 (13) | 43 (26) | 39 (35) |
| Employment status | |||
| Full time | 60 (30) | 61 (37) | 67 (60) |
| Part time/casual | 40 (20) | 39 (24) | 44 (40) |
| Hours worked per week | |||
| ≤29 | 16 (8) | 18 (11) | 19 (17) |
| 30–39 | 40 (20) | 20 (12) | 32 (29) |
| 40 | 20 (10) | 18 (11) | 21 (19) |
| ≥41 | 24 (12) | 44 (27) | 39 (35) |
| Number of GPs in workplace | |||
| <10 | 62 (31) | 59 (36) | 67 (60) |
| ≥10 | 30 (15) | 38 (23) | 38 (34) |
| Work at >1 practice | 8 (4) | 4 (2) | 6 (5) |
| Role in practice | |||
| Registrar/in training | 20 (10) | 8 (5) | 15 (14) |
| Contractor/sessional/retainer/salaried | 66 (33) | 70 (43) | 76 (68) |
| Partner/principal | 14 (7) | 21 (13) | 20 (18) |
High assessors assessed CVD risk scores in ≥80% of their eligible patients. Moderate and low assessors assessed absolute CVD risk in ≤79% of their eligible patients. Total questionnaires completed 111. No missing data.
CVD, cardiovascular disease; GP, general practitioner.
Assessment rates for CVD risk by GPs in eligible patients
| In what percentage of eligible patients do you assess total CVD risk? | Number | Per cent |
| 100% | 19 | 17 |
| 80%–99% | 31 | 28 |
| 60%–79% | 28 | 25 |
| 40%–59% | 6 | 5 |
| 20%–39% | 9 | 8 |
| 1%–19% | 5 | 5 |
| I do not assess CVD risk | 2 | 2 |
| I assess and treat each risk factor individually | 2 | 2 |
| I am unsure who an eligible patient is | 1 | 1 |
| Other | 8 | 7 |
| Total | 111 | 100 |
‘Other’: written text responses from GPs, which were a combination of assessing each factor individually and using ACVDR risk calculator; different age category and >1 risk factor.
ACVDR, absolute cardiovascular disease risk; CVD, cardiovascular disease; GPs, general practitioners.
Crude and age-adjusted sex-adjusted ORs for the association between GP and practice characteristics, and high versus moderate/low rates of assessment for absolute CVD risk (ACVDR)
| Independent variable | Percentage per category (n) that are high assessors | Crude OR | 95% CI | Ageadjusted and sex-adjusted | 95% CI | P value |
| Age range (years) | ||||||
| ≤34 | 57(13) | 1.0 | – | – | – | 0.03 |
| 35–44 | 58 (23) | 1.04 | 0.37 to 2.93 | 1.07 | 0.36 to 2.90 | – |
| ≥45 | 29 (14) | 0.31 | 0.11 to 0.89 | 0.36 | 0.12 to 0.97 | – |
| Gender | ||||||
| Female | 53 (31) | 1.0 | – | – | – | 0.25 |
| Male | 36 (18) | 0.51 | 0.24 to 1.10 | 0.72 | 0.34 to 1.54 | – |
| Years worked | ||||||
| ≤5 | 63(22) | 1.0 | – | 1.0 | – | 0.08 |
| 6–15 | 41(15) | 0.40 | 0.16 to 1.04 | 0.23 | 0.15 to 1.46 | – |
| ≥16 | 33(13) | 0.30 | 0.11 to 0.77 | 0.49 | 0.11 to 2.15 | – |
| Employment status | ||||||
| Full time | 45 (30) | 1.0 | – | 1.0 | – | 0.80 |
| Not full time | 45 (20) | 1.02 | 0.48 to 2.21 | 0.90 | 0.40 to 2.02 | – |
| Hours worked/week | ||||||
| ≤29 | 42 (8) | 1.0 | – | 1.0 | – | 0.27 |
| 30–39 | 63 (20) | 2.29 | 0.72 to 7.30 | 2.29 | 0.63 to 6.84 | – |
| 40 | 48 (10) | 1.25 | 0.36 to 4.36 | 1.36 | 0.35 to 4.90 | – |
| ≥41 | 31 (12) | 0.61 | 0.20 to 1.90 | 0.86 | 0.22 to 2.32 | – |
| Number of GPs in workplace | ||||||
| ≤4 | 44 (8) | 1.0 | – | 1.0 | – | 0.41 |
| 5–9 | 47 (23) | 1.11 | 0.37 to 3.28 | 1.14 | 0.36 to 3.61 | – |
| 10–19 | 44 (11) | 0.98 | 0.29 to 3.33 | 1.44 | 0.39 to 5.27 | – |
| ≥20 | 31 (4) | 0.56 | 0.12 to 2.49 | 0.80 | 0.16 to 3.97 | – |
| Role in practice | ||||||
| Registrar/in training | 68 (10) | 1.0 | – | 1.0 | – | 0.58 |
| Contractor/sessional/retainer/salaried | 43 (33) | 0.38 | 0.12 to 1.23 | 0.49 | 0.15 to 1.78 | – |
| Partner/principal | 35 (7) | 0.27 | 0.07 to 1.11 | 0.51 | 0.11 to 2.61 | – |
| ACVDR risk score | ||||||
| Used | 45 (36) | 1.0 | – | 1.0 | – | 0.22 |
| Other score used/not used | 45 (14) | 0.99 | 0.41 to 1.67 | 0.54 | 0.20 to 1.43 | – |
| Type of practice clinical software used | ||||||
| Medical director | 57 (13) | 1.0 | – | 1.0 | – | 0.37 |
| Best practice | 46 (32) | 0.65 | 0.25 to 1.67 | 0.68 | 0.25 to 1.83 | – |
| Not applicable | 28 (5) | 0.30 | 0.08 to 1.11 | 0.38 | 0.09 to 1.50 | – |
| Inbuilt calculator availability | ||||||
| Available | 47 (37) | 1.0 | – | 1.0 | – | 0.60 |
| Not available/unsure | 39 (13) | 0.72 | 0.31 to 1.64 | 0.79 | 0.32 to 1.92 | – |
| Use of inbuilt calculator | ||||||
| Yes | 46 (30) | 1.0 | – | 1.0 | – | 0.85 |
| No | 44 (7) | 0.91 | 0.30 to 2.73 | 0.89 | 0.29 to 2.81 | – |
| Knowledge of correct age eligible for assessment | ||||||
| Incorrect/missing | 41 (26) | 1.0 | – | 1.0 | – | 0.90 |
| Correct | 50 (24) | 0.70 | 0.67 to 3.03 | 1.06 | 0.46 to 2.42 | – |
| Time spent explaining ACVDR risk to patient | ||||||
| 0–4 mins | 24 (27) | 1.0 | 1.0 | 0.02 | ||
| >5 mins | 58 (65) | 3.84 | 1.37 to 10.7 | 3.63 | 1.26 to 10.4 | – |
High assessors assessed cardiovascular disease risk scores in ≥80% of their eligible patients. Moderate/low assessors assessed ACVDR risk in ≤79% of their eligible patients. Total questionnaires completed 111. No missing data except ‘time spent explaining ACVDR risk to patient’: never undertake/other/missing n=20 (18%).
ACVDR, absolute cardiovascular disease risk; GPs, general practitioners.
GP knowledge, attitudes and beliefs in relation to absolute CVD risk (ACVDR) assessment: percentage agreeing with statements overall, and agreeing by ACVDR assessment rates (high vs moderate/low assessors), and associated crude and age-adjusted and sex-adjusted ORs
| Agree | High assessors (%) | Moderate/ low assessors (%) | Crude | 95% CI | Age-adjusted and sex-adjusted | 95% CI | P value | |
| GP factors | ||||||||
| I know how to use total CVD assessment tools | 90 | 96 | 88 | 3.1 | 0.61 to 15.68 | 2.31 | 0.40 to 13.50 | 0.35 |
| I know how to proceed after the total CVD risk assessment | 89 | 98 | 85 | 8.47 | 1.03 to 69.38 | 7.35 | 0.76 to 71.35 | 0.09 |
| The total CVD risk assessment allows for accurate calculation of CVD risk in elderly patients | 32 | 33 | 32 | 1.05 | 0.47 to 2.35 | 1.21 | 0.51 to 2.88 | 0.66 |
| The total CVD risk assessment estimates risk over too long a time period | 18 | 10 | 25 | 0.34 | 0.11 to 1.02 | 0.24 | 0.07 to 0.78 | 0.02 |
| I prefer to refer patients for a calcium score | 12 | 10 | 13 | 0.74 | 0.23 to 2.42 | 1.09 | 0.30 to 4.03 | 0.81 |
| I am comfortable with prescribing blood pressure and lipid lowering medications for patients identified at high total cardiovascular risk | 97 | 98 | 100 | Only 1 GP disagreed so no result | – | – | – | |
| I am comfortable with prescribing blood pressure and lipid lowering medications for patients identified at moderate total cardiovascular risk for whom despite lifestyle changes have not improved | 89 | 94 | 88 | 2.03 | 0.49 to 8.29 | 2.87 | 0.64 to 12.88 | 0.17 |
| I believe the total CVD risk assessment is a valuable tool for decision making | 86 | 95 | 93 | 1.56 | 0.27 to 8.90 | 1.48 | 0.21 to 10.62 | 0.70 |
| Patient factors | ||||||||
| Patient’s understand the concept of being at high risk of a chronic disease and are adherent to prescribed medications | 59 | 69 | 52 | 2.12 | 0.96 to 4.68 | 2.00 | 0.88 to 4.58 | 0.10 |
| Patients are willing to participate in lifestyle modification services | 52 | 63 | 45 | 2.10 | 0.97 to 4.55 | 2.29 | 1.02 to 5.15 | 0.05 |
| Organisational and structural factors | ||||||||
| I think there is sufficient time during a routine appointment to calculate total CVD risk | 77 | 90 | 70 | 3.77 | 1.28 to 11.08 | 3.79 | 1.23 to 11.61 | 0.02 |
| There are a lack of incentives for me to perform total CVD risk assessments | 39 | 41 | 38 | 1.11 | 0.51 to 2.40 | 1.15 | 0.51 to 2.61 | 0.74 |
| Total CVD risk assessments are difficult to incorporate opportunistically during patient consultations | 26 | 16 | 35 | 0.36 | 0.14 to 0.91 | 0.42 | 0.16 to 1.11 | 0.08 |
| Total cholesterol and HDL results are often not available for patients requiring total CVD risk assessment | 20 | 18 | 18 | 1.00 | 0.38 to 2.66 | 0.93 | 0.33 to 2.58 | 0.88 |
| There are a lack of effective lifestyle modification services to refer on to | 59 | 65 | 57 | 1.44 | 0.66 to 3.14 | 1.23 | 0.54 to 2.82 | 0.62 |
| There is lack of funding for lifestyle modification services to refer on to | 18 | 84 | 75 | 1.71 | 0.66 to 4.45 | 1.39 | 0.51 to 3.81 | 0.52 |
High assessors assessed cardiovascular disease (CVD) risk scores in ≥80% of their eligible patients. Moderate/low assessors assessed ACVDR in ≤79% of their eligible patients. Total questionnaires completed n=111. Data were incomplete in two (2%) patients, except for the question ‘I believe the total CVD risk assessment is a valuable tool for decision making’, which had nine (8%) missing. Percentage agreeing=proportion of GPS who ‘strongly agreed’, ‘agreed’ or ‘somewhat agreed’/total GPs who responded × 100.
GPs, general practitioners.
Potential enablers to increase absolute CVD risk assessments: percentage of GPs agreeing with statements
| Agree | |
| Better consumer education for patients about having their total CVD risk checked could increase uptake of assessments. | 86 |
| Patients eligible for a total CVD risk assessment could be prescreened by the practice nurse prior to their GP appointment. | 86 |
| Computer prompt reminders for patients due for a total CVD risk assessment could increase uptake. | 82 |
| If adequate government funding/incentives were available for completing total CVD risk assessments, I would be more likely to complete these assessments. | 78 |
| Practice nurses are well suited to perform total CVD risk assessments. | 78 |
| A recall of all eligible patients in the GP registry due for a total CVD assessment would be an effective method of increasing uptake. | 77 |
| If I was allocated dedicated screening time in my schedule, I could complete more total CVD risk assessments. | 73 |
| GPs should continue to be the health professional that completes total CVD risk assessments. | 69 |
| The best way for me to complete total CVD risk assessments is opportunistically. | 70 |
| Point of care testing for cholesterol and HDL would enable more total CVD risk assessments. | 63 |
| Total CVD risk assessments performed within a workplace setting could be an effective means of increasing uptake. | 63 |
| If appointment time slots were increased, this could enable more total CVD risk assessments. | 61 |
Total n=111, 8%–10% missing for each statement. Percentage agreement=proportion of GPs who ‘strongly agreed’, ‘agreed’ or ‘agreed somewhat’/total GPs who responded × 100.
CVD, cardiovascular disease; GPs, general practitioners.