Evaluating the Knowledge and Practices of General Practitioners in Cardiovascular Risk Assessment at Three Referral Hospitals in Bujumbura, Burundi
Zacharie Ndizeye, Ghislain Mutwenzi, Désiré Habonimana, Jean Claude Nkurunziza, Sandra Nkurunziza, Elysée Baransaka

TL;DR
This study assesses general practitioners' knowledge and practices in cardiovascular risk assessment in Burundi, revealing significant gaps that suggest a need for improved training.
Contribution
The study provides the first evidence on cardiovascular risk assessment practices among general practitioners in Burundi.
Findings
Only 40.9% of general practitioners demonstrated adequate knowledge of cardiovascular disease.
77.3% of participants reported routinely assessing cardiovascular risk, but 42% failed to prescribe necessary lipid-lowering therapy.
Most practitioners had less than five years of experience, and few had sufficient knowledge of treatment strategies.
Abstract
Cardiovascular diseases (CVD) encompass a range of non-communicable conditions that share a common pathophysiological process related to atherosclerosis. Currently, CVD are the leading cause of death worldwide, with an estimated 17.9 million deaths attributed to these conditions in 2019. In Africa, the burden of CVD is steadily increasing, leading to a rise in years lived with disability. In Burundi, however, cardiovascular diseases are poorly documented, and there is a lack of data on the extent to which general practitioners (GPs) assess cardiovascular risk among their patients. This study aimed to evaluate the knowledge and practices of GPs regarding global cardiovascular risk assessment, providing evidence to inform policymakers and training institutions on potential strategies for improving cardiovascular care. A descriptive, cross-sectional study was conducted in three national…
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| Variables | n (%) |
|---|---|
| Age in years | |
| <25 | 1 (1.5) |
| 25–35 | 51 (77.3) |
| 36–45 | 14 (21.2) |
| Average age (SD) | 33.4 (±3.1) |
| Gender | |
| Male | 37 (56.1) |
| Female | 29 (43.9) |
| Years of practice | |
| < 5 years | 45 (68.2) |
| 6–10 years | 20 (30.3) |
| > 10 years | 1 (1.5) |
| Average (SD) | 3.63 (±2.2.) |
| BMI | |
| Between 18–24.9 (normal) | 45 (68.2) |
| Between 25–29.9 (overweight) | 19 (28.8) |
| Over 30 (obesity) | 2 (3.0) |
| General knowledge | Correct Answer n (%) | Sufficient Level of Knowledge (Score ≥70%) |
|---|---|---|
|
|
|
|
| CVD | ||
| Aortic Aneurysm | 40 (60.6) | |
| Arteriopathies of the lower limbs | 57 (86.4) | |
| Stroke | 65 (98.5) | |
| Rheumatic heart disease | 41 (62.1) | |
| Pulmonary embolism | 41 (62.1) | |
| Coronary heart disease | 65 (98.5) | |
| Cardiac malformations | 36 (54.5) | |
| Deep vein thrombosis | 43 (65.2) |
| Associated Factors | Correct Answer n (%) | Sufficient Level of Knowledge ≥70% |
|---|---|---|
|
| 66 (100) | |
| Advanced age | 66 (100) | |
| Diet high in saturated fats | 66 (100) | |
| Family history of early-cardiovascular disease | 66 (100) | |
| Diabetes | 66 (100) | |
| Dyslipidemias | 66 (100) | |
| Arterial hypertension | 66 (100) | |
| Menopause | 52 (78.8) | |
| Obesity/Overweight | 66 (100) | |
| Sedentary lifestyle | 66 (100) | |
| Gender | 39 (59.1) | |
| Stress | 66 (100) | |
| Metabolic syndrome | 63 (95.4) | |
| Tobacco | 66 (100) | |
|
| ||
| Regular physical activity | 65 (98.5) | |
| Healthy diet rich in dietary fiber & antioxidants (vegetables, fruits) | 66 (100.0) | |
| Moderate alcohol consumption | 39 (59.1) | |
| Low-dose Aspirin for cardiovascular risk factors) | 64 (96.9 | |
| High levels of HDL cholesterol | 28 (42.4) |
| Therapeutic Goals | Correct Answer n (%) | Overall Sufficient Level of Knowledge (≥70%) |
|---|---|---|
|
| 12 (18.2%) | |
| Individuals without risk factor (BP<140/90 mmHg) | 37 (56.1) | |
| Individuals with risk factor (BP<130/80 mmHg) | 44 (66.7) | |
|
| ||
| Individuals with no risk factor (<5 mmol/l or <1.9 g/l | 16 (24.2) | |
|
| 12 (18.2%) | |
| Individuals without risk factor (BP<140/90 mmHg) | 37 (56.1) | |
| Individuals with risk factor (BP<130/80 mmHg) | 44 (66.7) | |
|
| ||
| Individuals with no risk factor (<5 mmol/l or <1.9 g/l | 16 (24.2) | |
| Individuals with risk factor (<4.5 mmol/l or <1.75 g/l) | 15 (22.7) | |
|
| ||
| Individuals with no risk factor (<3 mmol/l or <1.15 g/l | 9 (13.6) | |
| Individuals with risk factor (<2.5 mmol/l or <1.0 g/l) | 17 (25.7) | |
|
| ||
| Individuals with no risk factor | 46 (69.7) | |
| Individuals with risk factor | 36 (54.5) | |
| Recommended BMI (<25 kg/m2) | 61 (92.4) | |
| Physical activity (≥ 30 minutes/day) | 64 (96.9) | |
| Therapeutic means | 49 (74.2) | |
|
| 58 (87.8) | |
| Anyone who requests it | 32 (48.5) | |
| Anyone with one or more risk factor | 66 (100) | |
| Anyone with a family history of cardiovascular disease or risk factor | 61 (92.4) | |
| Anyone with symptoms suggestive of cardiovascular disease | 58 (87.9) |
| Practices | n (%) |
|---|---|
| Practice of the sport activity | |
| Moderate (walking, cycling) | 9 (13.6) |
| Intense (jogging, basketball, soccer, swimming) | 34 (51.5) |
| No sports activities | 23 (34.8) |
| Blood pressure control regularly | |
| Yes | 28 (42.4) |
| No | 38 (57.6) |
| Frequency of BP measurement | |
| At least once a week | 3 (4.5) |
| At least once a month | 14 (21.2) |
| At least once a quarter | 9 (13.6) |
| At least once a semester | 1 (1.5) |
| More than six months | 1 (1.5) |
| No regular measurements | 38 (57.6) |
| Regular biological check-up | |
| Yes | 20 (30.3) |
| No | 46 (69.7) |
| Frequency of regular biological check-ups | |
| At least once a quarter | 5 (7.6) |
| At least once a semester | 2 (3.0) |
| At least once a year | 13 (19.7) |
| Irregular or more than one year | 46 (69.7) |
| Biological check-up in the last six months | |
| Total cholesterol | 14 (21.2) |
| Fasting blood glucose | 34 (51.5) |
| HDL-Cholesterol | 11 (16.7) |
| LDL-Cholesterol | 11 (16.7) |
| Triglycerides | 11 (16.7) |
| Information for at-risk patients | |
| Always | 25 (37.9) |
| Often | 39 (59.1) |
| Rarely | 2 (3.0) |
| Never | 0 (0) |
| Cardiovascular risk assessment | |
| Always | 12 (18.2) |
| Often | 39 (59.09) |
| Rarely | 10 (15.1) |
| Never | 5 (7.6) |
| Methods used to evaluate the CVR | |
| Summation of risk factors | 60 (90.9) |
| Framingham score | 1 (1.5) |
| SCORE score | 0 (0) |
| NHANES score | 0 (0) |
| MONICA score | 0 (0) |
| No | 5 (7.6) |
| Prescription of lipid-lowering drugs as a preventive measure | |
| Always | 10 (15.1) |
| Often | 28 (42.4) |
| Rarely | 25 (37.9) |
| Never | 3 (4.5) |
| Prescription of antiplatelet agents as a preventive measure | |
| Yes | 61 (92.4) |
| No | 2 (3.0) |
| Don't know | 3 (4.5) |
| Proposal of lifestyle and dietary measures to patients | |
| Always | 33 (50.0) |
| Often | 29 (43.9) |
| Rarely | 4 (6.1) |
| Never | 0 (0.0) |
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Taxonomy
TopicsHealth Promotion and Cardiovascular Prevention · Global Public Health Policies and Epidemiology · Public Health and Social Inequalities
BACKGROUND
Cardiovascular diseases (CVD) comprise a group of diverse non-communicable conditions affecting the heart and blood vessels, primarily linked to atherosclerosis, the accumulation of fatty deposits within the arteries.^1^ These pathologies are a major contributor to global morbidity and mortality, posing a significant public health challenge. Currently, CVD is the leading cause of death worldwide; in 2019, an estimated 17.9 million deaths were attributed to CVD, accounting for approximately 32% of all global fatalities.^2^
In Africa, the burden of cardiovascular disease (CVD) is steadily rising, leading to an increase in years lived with disability.^3^ Globally, over three-quarters of CVD-related deaths occur in low- and middle-income countries that often lack effective, integrated primary healthcare programmes to identify and manage at-risk populations.^2,3^ The incidence of CVD is expected to continue increasing, driven not only by the growing prevalence of obesity, diabetes, and metabolic syndrome but also by overall increases in life expectancy, including in developing countries. This demographic shift reflects an ageing population, which further amplifies the healthcare challenge associated with CVD.^4^
In Burundi, CVD are poorly documented, with estimated mortality rates around 10%.^5^ A 2012 study examining consultation reasons at the “Maison Médicale de Bujumbura” cardiology clinic found that arterial hypertension, cardiomyopathy, and valvulopathy were the most common diagnoses, accounting for 61.4%, 12.8%, and 10.2% of cases, respectively.^6^ Additionally, the 2020 Burundi statistical yearbook indicates that hypertension ranks 19^th^ among causes of hospital mortality.^7^ A retrospective study conducted in 2016 at the University Teaching Hospital (Centre Hospitalo-Universitaire de Kamenge, CHUK) revealed that patients with CVD comprised approximately 7% of all inpatients, underscoring the significance of CVD as a public health concern in Burundi.^8^ Effective prevention of CVD involves addressing and reducing its various risk factors, which should be implemented both at the individual and population levels.^9^ Prevention efforts require a comprehensive understanding of cardiovascular risk factors, as well as adherence to hygiene and dietary recommendations, particularly among healthcare providers responsible for maintaining and restoring health. Several tools, such as the Framingham score, Risk Factor Summation, NHANES score, SCORE, and MESA score; are widely used in routine clinical practice to assess cardiovascular risk, guide management, and improve patient outcomes. Ideally, all general practitioners should utilize these tools to identify and manage cardiovascular risk factors. However, there is currently no data available on the extent to which general practitioners (GPs) in Burundi evaluate cardiovascular risk among their patients. This study aimed to assess the knowledge and practices of general practitioners regarding comprehensive cardiovascular risk assessment. The findings will provide valuable insights for policymakers and medical training institutions, guiding targeted interventions and training programmes to enhance cardiovascular disease prevention in Burundi.
METHODS
Study Design, Location and Time
The study employed a descriptive cross-sectional design conducted across three national hospitals in Burundi: Centre Hospitalo-Universitaire de Bujumbura (CHUK), Hôpital Prince Régent Charles (HPRC), and Hôpital Militaire de Kamenge (HMK), all located in Bujumbura city. Burundi's health system is organized as a pyramidal structure comprising four levels: the central, intermediate, peripheral, and community levels, which are interconnected through hierarchical relationships.^10^ Within this framework, the national hospitals occupy the apex of the pyramid and provide specialized services. There are five national hospitals in Burundi, all situated in Bujumbura, but the selection of these three hospitals was based on their high patient volume and the frequency of recorded cardiovascular pathologies, as well as the availability of logistical resources at the time of the study. Data collection was carried out over a period of four months, from June 27 to October 30, 2020.
Study Population and Inclusion Criteria
All general practitioners working in the outpatient departments of the three selected hospitals were eligible for the study. However, only those who consented to participate were included in the study.
Data Collection Instruments and Procedures
The questionnaire was developed by the research team and validated by two cardiologists and four epidemiologists. It was pretested with five general practitioners at Prince Louis Rwagasore Hospital (not part of the study). Results from the pretest were used to rephrase and clarify some ambiguous questions. After compiling a complete list of GPs in the three selected hospitals, each participant received an anonymous, self-administered questionnaire, accompanied by an explanation of the study's objectives. Participants could complete the questionnaire immediately in the presence of the surveyor or schedule an appointment for collection after filling it out. The questionnaire included items on sociodemographic characteristics, health status, habits and lifestyle, recent biological monitoring, knowledge of cardiovascular risk factors, protective factors, diseases, risk assessment methods, treatment and prevention strategies, anthropometric measurements, and GPs’ practices related to cardiovascular risk prevention.
Data Processing and Analysis
Data were entered into Microsoft Excel 2010 and imported into the IBM software, Statistical Package for the Social Sciences (SPSS), version 20 (IBM Corp, Armonk, NY, USA) for analysis. The analysis began with descriptive statistics of the population based on various characteristics, expressed as percentages. To evaluate knowledge levels, four scores were created from selected items: (a) knowledge of cardiovascular diseases (9 questions), (b) knowledge of risk and protective factors (18 questions), (c) understanding of individuals needing cardiovascular risk assessment (4 questions), and (d) knowledge of treatment objectives and prevention strategies (11 questions). Each correct answer scored one point; incorrect answers scored zero. Scores were calculated as the percentage of correct answers, with a threshold of 70% or higher indicating sufficient knowledge.
Administrative and Ethical Considerations
Before the survey, approval was obtained from the Institutional Review Board of the Faculty of Medicine, University of Burundi (Reference number: FM/CE/02/09/2020), and permissions were secured from each hospital's administration. All participants provided voluntary oral consent, and personal data were kept confidential, used anonymously, and were accessible only to the researchers.
RESULTS
Socio-Demographic Characteristics of Participants
During the study, 76 general practitioners were assigned to the outpatient departments of three referral hospitals, out of whom 66 participated, resulting in an 86.8% participation rate. The mean age was 33.4 years (SD: ±3.07), with the 25–35 years age group being the most common. Males accounted for 56.06%. Participants had an average of 3.6 years (SD: ±2.22) of professional experience, with 68% having less than five years. Most had a normal Body Mass Index (BMI), did not consume alcohol or smoke, and had no major CVD history (Table 1).
Participants’ Knowledge and Practices
Only 40.9% of participants demonstrated sufficient general knowledge of CVD (score ≥70%), with 26% being aware of its global mortality ranking, and 54% and 65% recognizing heart defects and deep vein thrombosis respectively as CVD (Table 2).
Knowledge of CVD risk and protective factors was excellent (100% of GPs scored above 70%) (Table 3), but only 18.2% had sufficient knowledge of therapeutic objectives and treatments.
Most (87.8%) understood the profile of individuals needing cardiovascular risk assessment (Table 4), though familiarity with assessment methods was limited, only the summation of risk factors was well known (most familiar), while other tools like Framingham, SCORE, NHANES, and MONICA scores were poorly recognized (24.4%, 10.6%, 12.1%, and 4.5%, respectively) (Table 5).
Practically, 35% did not engage in sports, 58% rarely checked their blood pressure, and 70% seldom monitored their biological tests (Table 5). While 77.3% reported regularly assessing clients’ cardiovascular risk, 42% rarely or never prescribed lipid-lowering drugs to those in need, and 7.6% were unaware of the importance of antiplatelet therapy. Only half consistently advised clients on dietary measures.
DISCUSSION
Our participants exhibited a high response rate, surpassing similar studies,^11,12^ and this is the first known assessment in Burundi of GPs’ knowledge and practices regarding global CVR evaluation. The study revealed a low level of knowledge among GPs about CVD and their mortality impact, consistent with findings from other countries.^4,13,14^ While all participants demonstrated adequate understanding of CVD risk and protective factors, fewer than 20% had sufficient knowledge of therapeutic goals and treatment options. This gap is concerning, given GPs’ frontline role in CVD management in Burundi, where cardiologist shortages are prevalent. The insufficient knowledge likely stems from gaps in basic medical training and limited continuing education, highlighting the urgent need for targeted awareness and training to improve patient management.
In addition, practice in CVR assessment was inadequate: only 38% of GPs regularly inform patients about their cardiovascular risk, and just 18% always perform risk assessments. Effective doctor-patient communication is essential for better management, engagement, and adherence, yet poor CVR assessment practices undermine early detection of high-risk individual.^13,15^ Similar deficiencies have been documented elsewhere,^4,16^ with mixed findings on the influence of practitioner seniority.^4,17^ Furthermore, routine CVR assessment remains suboptimal, with approximately 90% of participants providing hygiene and dietary advice, half consistently and 43.94% often, but less than half prescribing lipid-lowering medications for high-risk or existing CVD patients, and 4.55% never do it. This indicates a gap in preventive management, as evidence supports the use of statins in high-risk individuals to reduce CVD incidence.^18-20^
Study Limitations
The questionnaires were administered to participants, with some being collected later. In addition, participants were allowed to consult any relevant documentation while answering, which may have led to an overestimation of their knowledge of certain items. Furthermore, since participants were not selected randomly, the extent to which these findings can be generalised to a broader population is limited.
CONCLUSION
Significant gaps in the knowledge and practices of Burundian general practitioners regarding CVD prevention highlight the urgent need for ongoing medical education and curriculum reform to enhance their skills in cardiovascular disease management.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 7Burundi Ministry of Public Health and AIDS Control (MSPLS). Health Statistical Yearbook 2020 2021:185. Available from: https://minisante.gov.bi/wp-content/uploads/annuaires_statistiques/Annuaire%20Statistique%202020.pdf. Accessed June, 19th 2022.
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