Objective: The aim of this work was to determine the prevalence, associated factors and quality of high blood pressure (HBP) management in three regions of Benin in 2015. Methodology: This was a cross-sectional study, with two components. The first component included adults aged from 18 to 69 years, selected using a three-stage random sampling within the households. Data were collected thanks to the French version of the WHO STEPS instrument. Anthropometric data, including blood pressure, capillary fasting glucose and total cholesterol were measured according to standard procedures. The second component included Public Health Centers (PHC) selected by a random stratified multi-stage sampling. Data were collected on the structures and the processes of HBP management using the standardized tool for assessing the capacities of management of non-communicable diseases in peripheral health centers provided by the World Health Organization. Results: A total of 4816 participants were included in the first component. The mean age was 35.8 ± 12.7 years. The weighted prevalence of HBP was 27.9% (95% Confidence Interval (CI) [25.6 - 30.2]). It was higher in the 60 - 69 years compared to the lower age groups (Adjusted Odd-ratio (ORa) = 5; 95% CI [3.9 - 6.5)]). HBP was positively associated with urban residence (ORa = 1.26; 95% CI [1.24 - 1.28]), obesity (ORa = 1.46; 95% CI [1.43 - 1.50]), hyperglycemia (ORa = 1.13; 95% CI [1.10 - 1.15)]) and hypercholesterolemia (ORa = 1.64; 95% CI [1.59 - 1.70)]). A total of 27 PHC were included in the second component. Taking blood pressure and other anthropometric measurements was not routine in PHC. Several essential medicines were not available in the PHC. A low level of community involvement in the management of HBP was noted. Conclusion: This study confirms the high prevalence of HBP and shows inadequacies in its management in the targeted PHC. More appropriate prevention and control measures for HBP should be implemented.
High blood pressure (HBP) is one of the major risk factors for cardiovascular disease. It is one of the leading causes of death in the world where it caused about 10 million deaths and 218 million disability-adjusted life-years (DALYs) in 2015 [
Today, the world objectives called Sustainable Development Objectives (SDO) take into account NCDs [
The Benin-Belgian cooperation supports Benin for NCDs control interventions through the project called “PASS-SOUROU”. A survey on NCDs risk factors prevalence and the quality of their management in the public health centers (PHC) was initiated in the PASS SOUROU intervention subterritory (PIS) for the development of a suitable response plan. The current work has used the data from this survey coordinated by its first author.
The objective of this work was to determine the prevalence of HBP in 2015 among adults aged from 18 to 69 years living in the departments of Mono, Couffo and Donga, to identify associated factors and to assess the quality of HBP management in the PHC of these regions.
The choice of the departments supported by Benin-Belgium cooperation (Mono, Couffo and Donga) based on some criteria as: high poverty rate, development needs not yet supported by Technical and Financial Partners and political considerations. The departments of Mono and Couffo are both located in the south- west of the Republic of Benin. The population of Benin has been estimated at about 10 million inhabitants in 2013 according to the Fourth General Population and Housing Census (GPHC4) [
The Beninese health system includes national hospitals all located in the town of Cotonou (central level), departmental hospitals (intermediate level), hospitals in the health zone and health centers (peripheral level). The territory is subdivided into 34 health zones. The health zone hospital is the first reference point for health centers, namely: private health centers, district health centers (DHC) and commune health centers (CHC). The DHC has a dispensary run by a nurse. The CHC is led by a medical doctor who also supervises the activities of the DHC of his commune.
It was a cross-sectional study with a descriptive and analytical purpose. It included two components. The first part dealt with the prevalence and the associated factors to HBP and the second part evaluated the treatment of HBP.
Component I:
The study population was constituted of all adults aged from 18 to 69 years living in the PIS for at least six months, were excluded from the study, all those who had not given their consent, those who had been given two unsuccessful visits, and anyone with a medical condition that prevented the administration of the questionnaire as: speech and language understanding problems, major mental problems.
Participants were selected using a three-stage random sampling technique. The sampling base constituted by all the Enumeration Areas was provided by the National Institute of Statistics and Economic Analysis (NISEA). At the first stage, 125 Enumeration Areas were selected by a simple random sampling with no delivery in each target area. At the second level, 20 households per Enumeration Area were drawn by a simple random sampling after counting all households in the Enumeration Area. The selection of the first two degrees was carried out in collaboration with the NISEA. At the last stage, one individual per household was selected according to the KISH method [
The sample size was calculated per department, taking into account the following parameters: a theoretical prevalence of 50% for NCDs risk factors, an alpha error risk of 5% and an accuracy of 6%. The initial size obtained was then multiplied by 8, considering 8 independent subpopulations according to the age groups and the sex. It was increased by 5% in anticipation of non-respondents. A sample size of 2499 subjects was thus predetermined for the department of Donga on the one hand and the same for the departments of the Mono/Couffo on the other hand, and a total of 4998 subjects to be investigated.
Data collection took place in the PIS from October 19th to December 19th, 2015. The French version of the WHO STEPS instrument was used. The tool has 3 parts: STEPS 1, 2, 3 [
The weight of each participant was measured using an electronic scale of 0.1 kg (Model 753 E, Seca, Hamburg, Germany). The height was measured in a standing position with SECA gauge to within 0.1 cm. The Body Mass Index (BMI) was calculated using the formula BMI = weight (in kg)/height2 (in square meter). Waist circumference (WC) was measured at 0.1 cm using a non-elastic tape measure and WHO standards were used (<102 cm for men, <88 cm for women) [
Blood pressure was measured three times in a row at 5-minute intervals while sitting in the left arm after a rest period of at least 15 minutes and using an electronic blood pressure device (Boso medicus, Germany). The average of the last two measures represented the systolic and diastolic blood pressures.
Blood glucose and cholesterol were measured on capillary blood using a reader (Cardiocheck PA, PTS Diagnostics ™, USA), supplied by the WHO.
Data directly entered into the PDA (Personal Digital Assistant) was analyzed according to the STEPS recommendations using Epi info7 software (CDC Atlanta, USA). Pregnant women were excluded from the BMI data analysis. Data have been weighted according to sampling design. Qualitative variables were described as percentages with their 95% confidence intervals (CI). The quantitative variables were described as averages ± standard deviations. Frequency comparison was done using either the Khi-2 test or the Fisher test. A multivariable logistic regression, using a step-by-step procedure, was performed to investigate the associated factors with HBP. The crude and adjusted odds ratios (OR) were calculated with their 95% CI. We used a significance degree of 0.05.
Component II:
The population of quality care component was constituted of the PHC of the target areas. The PHC were selected using a stratified multi-stage random sampling. The Departments hospitals and health zone hospitals were systematically retained. In each of target department, 25% of the CHC were selected randomly. In each of the communes selected, 10% of the DHC were selected randomly.
The quality of care was evaluated through three dimensions: the structures, the care process and the results.
A team of two investigators visited each of the selected PHC. Data were collected through interviews with health center managers and health care providers, direct visits observation; review of records and/or care registers, and face-to- face interviews with HBP patients. The standardized tool for assessing NCDs management capacity at the peripheral health center level developed by WHO was adapted for the study [
The number of observations and records has been reasonably defined. Ten patients present in each PHC at the time of the survey that were consulted for HBP, were randomly selected for the observation and the satisfaction survey.
The data analysis was made using the Epi Info 7 software. The qualitative variables were expressed as percentages. Missing data related to failure to keep files and care records books by health workers have not been able to evaluate the effectiveness of the HBP management in PHC.
The study protocol received the agreement of the National Committee for Ethics in Health Research (NCEHR). The agreements of the departmental directors of health, the chief medical officers of the health zone, the directors of the hospitals, the responsibles of the health centers, the heads of districts, the heads of the home towns and villages, were obtained before the beginning of the investigation. The free, enlightened and written consent of each participant was required. The personal data of the participants were protected and the anonymity of the information collected was strictly respected during the investigation.
A total of 4954 people aged from 18 to 69 years participated to the survey of which 4816 had valid blood pressure data. The demographic and socio-economic data are presented in
Variables | Number (Total = 4816) | Percentage (%) |
---|---|---|
Age range (years) | ||
18 - 29 | 1753 | 35.6 |
30 - 44 | 1879 | 38.3 |
45 - 59 | 958 | 19.5 |
60 - 69 | 326 | 6.6 |
Level of education | ||
≤Primary school | 4417 | 89.9 |
>Primary school | 499 | 10.1 |
Profession | ||
Employee | 144 | 2.9 |
Independent worker | 3755 | 76.4 |
Unpaid | 1017 | 20.7 |
Place of residence | ||
Urban | 1507 | 30.7 |
Rural | 3409 | 69.3 |
Department or region | ||
Mono/Couffo (South) | 2438 | 49.6 |
Donga (North) | 2478 | 50.4 |
Marital Status | ||
Never married | 655 | 13.3 |
Married | 3949 | 80.3 |
Separate | 312 | 6.4 |
Income (USD) | ||
4383 | 89.2 | |
≥MGIS | 533 | 10.8 |
*equivalent of the annual minimum guaranteed inter-professional minimum wage (MGIS) in Benin is 920 USD.
mean age was 35.8 ± 12.7 years. The participants aged from 30 to 40 years were more numerous (38.3%). The large majority of participants did not attend school and had an annual income below the Formal Minimum Annual Income (USD 960). The rural environment was more represented (69.3%).
The information related to main NCDs risk factors is presented in
The information related to the diagnosis, measurement and previous treatment of blood pressure is given in
The mean systolic blood pressure was 124.8 ± 24.8 mm Hg and that of the diastolic was 81.7 ± 13.3 mm Hg.
The prevalence of HBP was 27.9% (95% CI [25.6 - 30.2]) (see
Behavioral factors and other metabolic factors of CVD | Men | Women | Men and women | ||||||
---|---|---|---|---|---|---|---|---|---|
n | %* | IC 95% | n | %* | IC 95% | n | %* | IC 95% | |
Current Smoking | 2121 | 13.6 | 11.5 - 15.8 | 2833 | 1.3 | 0.8 - 1.9 | 4954 | 7.7 | 6.5 - 8.9 |
Alcohol abuse** | 2121 | 4.3 | 2.6 - 6.0 | 2833 | 1.6 | 0.9 - 2.4 | 4954 | 3.0 | 2.0 - 4.0 |
Alcohol excessive episodic drink*** | 2121 | 17.3 | 14.3 - 20.2 | 2833 | 6.3 | 4.4 - 8.1 | 4954 | 12.0 | 10.0 - 14.0 |
Insufficient consumption of fruit and vegetables**** | 2121 | 84.2 | 80.7 - 87.8 | 2833 | 85.7 | 82.8 - 88.6 | 4954 | 85.0 | 82.1 - 87.7 |
Low physical activity***** | 1965 | 18.3 | 14.3 - 23.7 | 2607 | 27.2 | 21.2 - 33.2 | 4572 | 22.9 | 18.2 - 27.7 |
Adding salt to table. always or often | 2115 | 16.0 | 12.0 - 20.1 | 2813 | 16.1 | 12.2 - 20.1 | 4928 | 16.1 | 12.7 - 19.5 |
Obesity (IMC ≥ 30 kg/m2) | 2087 | 4.5 | 2.9 - 6.1 | 2549 | 9.0 | 7.1 - 10.9 | 4636 | 6.6 | 5.1 - 8.0 |
Capillary blood glucose ≥ 110 mg/l or currently under treatment for raised blood glucose | 2056 | 9.1 | 6.3 - 11.8 | 2709 | 9.5 | 7.3 - 11.6 | 4765 | 9.3 | 7.1 - 11.4 |
Total cholesterol ≥ 240 mg/l or Currently under treatment for raised blood cholesterol | 2065 | 2.6 | 1.5 - 3.6 | 2759 | 5.2 | 3.8 - 6.6 | 4814 | 3.9 | 3.0 - 4.7 |
n: subgroup number; *Weighted frequency; **Abuse of alcohol past 30 days ≥ 40 g per day in the men or ≥20 g per day in the women; ***≥ 6 standard alcohol drinks by occasion; ****< 5 servings of 80 g of fruits and vegetables consumed per day; ****< Equivalent to 600 MET/week; CVD: cardiovascular diseases.
History of blood pressure measure, of diagnosis and treatment of high blood pressure and presence of high blood pressure during the survey | Men | Women | Men and women | ||||||
---|---|---|---|---|---|---|---|---|---|
n | %* | IC 95% | n | %* | IC 95% | n | %* | IC 95% | |
Blood pressure measure and history of high blood pressure | 2120 | 2831 | 4951 | ||||||
Never measured | 1641 | 75.9 | 72.1 - 79.7 | 1797 | 63.5 | 59.1 - 67.8 | 3438 | 69.9 | 66.4 - 73.4 |
Measured, undiagnosed | 379 | 18.8 | 15.5 - 22.2 | 838 | 29.3 | 25.5 - 33.1 | 1212 | 23.9 | 20.9 - 26.9 |
Diagnosis > 12 months | 42 | 2.0 | 1.1 - 2.9 | 64 | 2.0 | 1.5 - 2.7 | 106 | 2.0 | 1.5 - 2.6 |
Diagnosis ≤ 12 months | 58 | 3.3 | 2.1 - 4.5 | 132 | 5.2 | 3.9 - 6.5 | 190 | 4.2 | 3.3 - 5.1 |
Treatment of high blood pressure the last 15 days | 99 | 196 | 296 | ||||||
Under treatment | 35 | 35.1 | 20.6 - 49.6 | 85 | 41.5 | 31.3 - 51.8 | 120 | 38.7 | 28.7 - 48.7 |
Without treatment | 65 | 65.7 | 50.4 - 79.4 | 111 | 56.6 | 48.2 - 68.8 | 176 | 59.7 | 51.3 - 71.3 |
High blood pressure during the survey | 2116 | 2813 | 4929 | ||||||
Yes | 564 | 28.2 | 25.0 - 31.5 | 760 | 27.5 | 24.8 - 30.2 | 1324 | 27.9 | 25.6 - 30.2 |
No | 1552 | 73.2 | 65.5 - 75.0 | 2053 | 72.9 | 69.8 - 75.2 | 3605 | 72.1 | 69.9 - 74.4 |
n: subgroup size; %*: Weighted frequency according to survey plan; high Blood Pressure (BP) during the survey: systolic BP ≥ 140 mm Hg ou diastolic BP ≥ 90 mm Hg) or under treatment of high blood pressure the last 15 days.
High blood pressure (reference = “yes”) | ||||||
---|---|---|---|---|---|---|
Variables | Univariable analysis | Multivariable analysis | ||||
ORc | CI 95% | p | ORa | CI 95% | p | |
Age (ref = 18 - 29 years) | ||||||
30 - 44 | 2.30 | [2.25 - 2.34] | <0.001 | 2.28 | [2.23 - 2.32] | <0.001 |
45 - 59 | 4.85 | [4.75 - 4.95] | <0.001 | 4.74 | [4.64 - 4.84] | <0.001 |
60 - 69 | 6.45 | [6.25 - 6.66] | <0.001 | 5.90 | [5.70 - 6.10] | <0.001 |
Sex female (ref = “male”) | 1.04 | [1.03 - 1.06] | <0.001 | 1.13 | [1.11 - 1.15] | <0.001 |
Urban residence place (ref = “rural”) | 1.36 | [1.34 - 1.38] | <0.001 | 1.26 | [1.24 - 1.28] | <0.001 |
South region (ref = “North region”) | 1.51 | [1.49 - 1.54] | <0.001 | 1.56 | [1.53 - 1.59] | <0.001 |
Level of education > Primary school (ref = “≤ Primary school”) | 0.7 | [0.7 - 0.8] | <0.001 | 0.97 | [0.95 - 0.98] | <0.001 |
Obese (ref = “No”) | 2.85 | [2.77 - 2.92] | <0.001 | 1.46 | [1.43 - 1.50] | <0.001 |
Professional occupation (ref = Employee) | ||||||
Independent worker | 1.08 | [1.04 - 1.13] | <0.001 | 1.40 | [1.34 - 1.46] | <0.001 |
Unpaid | 0.77 | [0.74 - 0.80] | <0.001 | 1.31 | [1.24 - 1.36] | <0.001 |
Income > MGIS** (ref = “ | 1.24 | [1.22 - 1.27] | <0.001 | 1.09 | [1.07 - 1.11] | <0.001 |
Insufficient consumption of fruit and vegetables (ref = “No”) | 1.06 | [1.04 - 1.08] | <0.001 | 1.09 | [1.07 - 1.13] | <0.001 |
Physical activity < 600 MET/week (ref = “≥600 MET/week”) | 1.45 | [1.43 - 1.48] | <0.001 | 1.31 | [1.28 - 1.33] | <0.001 |
Capillary blood glucose ≥ 110 mg/l or under treatment (ref = “capillary blood glucose < 110 mg/l”) | 1.61 | [1.57 - 1.65] | <0.001 | 1.13 | [1.10 - 1.15] | <0.001 |
Total cholesterol ≥ 240 mg/l or under treatment for hypercholesterolemia (ref = “Total cholesterol < 240 mg/l”) | 2.39 | [2.30 - 2.47] | <0.001 | 1.64 | [1.59 - 1.70] | <0.001 |
Current Smokers, last 12 months (ref = “No”) | 1.09 | [1.06 - 1.10] | <0.001 | |||
Alcohol excessive episodic drink*** (ref = “No”) | 0.98 | [0.95 - 1] | 0.023 |
CI: Confidence Interval; ORc: crude Odd Ratio; ORa: OR adjusted with the other variables; ref = Reference category; **equivalent to the annual minimum guaranteed inter-professional minimum wage (MGIS) in Benin = 920 USD; ***≥ 6 standard units per occasion.
The prevalence of HBP increased significantly with age. Thus, it was higher among the 60 - 69 age group compared to the lower age groups (adjusted OR = 6.45; 95% CI [6.25 - 6.66)]) (see
The prevalence of HBP was higher in urban than rural (adjusted OR = 1.26; 95% CI [1.24 - 128)]). It was higher in the Southern region than in the North (adjusted OR = 1.56; 95% CI [1.53 - 1.59)]). HBP was positively associated with income (adjusted OR = 1.09; 95% CI [1.07 - 1.11]) while it was inversely associated to education (adjusted OR = 0.97; 95% CI, [0.95 - 0.98)]).
It was significantly associated to “low physical activity practice” and “insufficient consumption of fruits and vegetables”. The prevalence of HBP was higher among those who had low activity compared to those who did not (adjusted OR = 1.31; [1.28 - 1.33]) and those who had insufficient consumption of fruits and vegetables compared to those who did not (adjusted OR = 1.09; [1.07 - 1.13]).
The prevalence of HBP was higher among obese than non-obese (adjusted OR = 1.46; 95% CI [1.43 - 1.50]). It was higher in those who had hypercholesterolemia compared to those who did not (adjusted OR = 1.64; [1.59 - 1.70]) and those with raised blood glucose compared to those did not have it (adjusted OR = 1.13; [1.10 - 1.15]).
A total of 27 PHC was included in the survey. There were 15 DHC, 5 CHC and 7 hospitals. A total of 46 people was interviewed (15 in the DHC, 10 in the CHC and 21 in the hospitals) to obtain information on the structures dimension of the PHC. A total of 494 records or registry data (253 in the DHC, 100 in the CHC and 141 in the hospitals) were counted. A total of 51 patients were asked about their satisfaction, including 48 in hospitals.
In the DHC, the number of nurses varied between 1 and 2. In CHC, the number of nurses varied between 2 and 4; one physician was employed by CHC. In hospitals, the number of nurses varied between 10 and 31, and those of general practitioners between 2 and 4. One departmental hospital on both visited used a cardiologist and the latter was on partial time. There was no nephrologist in the hospitals visited.
The mean consultation fee per level is generally around 0.4 USD for nurses, 2.5 USD for general practitioners and 4.5 USD for specialist physicians. Visit, care and medication are fully paid by patients in all CHC, all hospitals, and 93.3% of DHC. In the month prior to data collection, the median number of visits recorded for HBP was 1 (interquartile range: 0 - 9) in DHC, 6 (interquartile range: 3 - 8) in CHC and 17 (interquartile range: 9 - 32) in hospitals. The number of consultations for all causes in the same period was 289 (interquartile range: 11 - 988) in DHC, 483 (interquartile range: 322 - 589) in CHC and 144 (interquartile range: 49 - 507) in hospitals.
Less than one-fifth of the health workers in the PHC have received specific, recent, continuing professional training on HBP (
Dimensions and components | Categories | DHC (N = 15) | CHC (N = 5) | ZH/DH (N = 7) |
---|---|---|---|---|
n (%) | n (%) | n (%) | ||
Structures: human resources | Minimum trained qualified human resources in NCDs | 2 (13.3) | 1 (20.0) | 1 (14.3) |
Structures: materials | High blood pressure treatment protocol | 3 (20.0) | 2 (40.0) | 6 (85.7) |
Material for IEC | 1 (6.7) | 0 (0.0) | 1 (14.2) | |
Functional Kit (Ribbon, bathroom scale, measuring rod) | 13 (86.7) | 4 (80.0) | 7 (100.0) | |
Functional Stethoscope | 14 (93.3) | 5 (100.0) | 7 (100.0) | |
Functional Blood Pressure Monitor | 12 (80.0) | 5 (100.0) | 7 (100.0) | |
Structures: community actions | Awareness of the population | 0 (00.0) | 0 (00.0) | 1 (14.3) |
Patient Support Group | 0 (00.0) | 0 (00.0) | 0 (00.0) | |
Structures: complementary exams | ||||
Blood glucose | -- | 4 (80.0) | 7 (100.0) | |
Creatininemia | -- | 3 (60.0) | 7 (100.0) | |
Cholesterolemia | -- | 2 (40.0) | 6 (85.7) | |
EKG | -- | -- | 4 (57.1) | |
Proteinuria/24h | -- | -- | 4 (57.1) | |
Eye examen | -- | -- | 5 (71.4) | |
Structures: essential drugs | Thiazide (Hydrochlorothiazide) | 13 (86.7) | 4 (80.0) | 5 (71.4) |
Central antihypertensor (Methyldopa) | 15 (100.0) | 5 (100.0) | 7 (100.0) | |
Conversion enzyme inhibitors (Captopril) | -- | 2 (40.0) | 2 (28.6) | |
Calcic channel blockers (Long acting Nifedipine, Amlodipine) | -- | 5 (100.0) | 6 (85.7) | |
Clinical process | Systematic blood pressure measurement | 14 (93.3) | 3 (60.0) | 6 (85.7) |
Systematic weight measurement | 12 (80.0) | 3 (60.0) | 5 (71.4) | |
Systematic height recording | 2 (13.3) | 0 (14.3) | 5 (71.4) | |
At least one follow-up visit per patient* | 4 (26.3) | 2 (40.0) | 0 (0.0) | |
At least two follow-up visits per patient* | 0.0 | 0.0 | 0 (0.0) |
DHC: district health center, CHC: communal health center, ZH/DH: zone hospital/departmental hospital; *retrospective (from review register and records, registered visit); IEC: information, education and communication.
Basic materials for blood pressure measurement and for obesity screening were available in most of the PHC (
In hospitals where hypertensive patients’ visits were observed, dietary advice was only provided in 51.2% of the 48 patients. The consultation period was between 30 minutes and 2 hours for about half (54.2%) of the patients. However, the majority of patients (88.5%) were generally satisfied with the reception and explanations provided by the physician regarding the HBP and prescribed treatment.
The study population was relatively young with an average age of 35 years. About one-tenth smoked tobacco. More than one-fifth of the participants were sedentary. Less than one fifth consumed a sufficient quantity of fruits and vegetables. One in four participants had high blood pressure or a history of HBP under treatment and was classified HBP patient. The prevalence of HBP was similar to that observed in the national STEPS 2008 survey (27.9%) [
The prevalence of HBP increased with age as classically reported in the literature. Urban residents had higher prevalence of HBP compared to those living in rural areas. These findings are consistent with the results of the national STEPS 2008 survey [
The prevalence of HBP was higher among men than women. This result differs from the data from the STEPS survey in Benin in 2008, during which there was no association between HBP and the gender. We also noticed that obese people had a higher prevalence of HBP than non-obese, which was noted by other studies [
Regarding the quality of the HBP management, the availability of basic materials for screening of HBP was generally good, while that of other risk factors basic devices, essential medicines and complication detection materials were lower. The proportion of health workers who received recent continuing professional training on HBP was very low. The measurement of blood pressure and/or its recording during visits was not systematic. In addition, fewer patients have benefited of follow-up visits in the same PHC. Health workers should be periodically trained in the diagnosis and treatment of HBP and standardized care protocols should be available. It was noted that PHC neither carry out activities involving the communities, notably mass sensitization nor the setting up of patient support groups. This lack of community involvement may justify the low demand for HBP diagnosis and care.
The problem of low availability of essential drugs and basic diagnostic tests such as blood glucose is not specific to Benin. According to the studies led in several developing countries, availability of essential drugs and basic diagnostic tests for chronic disease management is low in public health centers, especially in sub-Saharan Africa [
The study is one of the first in Benin and sub-Saharan Africa to evaluate both the prevalence and the management of HBP. The results of this study constitute the baseline data for the local response plan against HBP evaluation. The first part of the study was conducted using the STEPS methodology recommended by the WHO for the surveillance of NCDs risk factors, thus ensuring comparability with other studies from STEPS surveys. A three-stage random sampling technique was applied for the selection of people, a number of subjects required were predetermined and a response rate greater than 90% was obtained. A representative sample was thus constituted.
The collection of behavioral variables was based on statements; information biases, in particular social desirability, may have been introduced, which may underestimate the proportions observed. The blood pressure standards used correspond to the WHO criteria [
Regarding the quality of HBP management, in particular the follow-up visits of hypertensive patients may have been underestimated by default in recording data because their collection was based on the retrospective files. In addition, patient satisfaction in hospitals may have been overestimated as it is based on reports collected within the hospital. Additionally, the study concerned only three departments among twelve. The results are not applicable to all the public health centers in Benin. The management of HBP in a department like Cotonou (economic capital of Benin) could be better.
This work allows updating the data on the HBP in general population in Benin, particularly in the area studied. It confirms earlier findings on the importance of HBP in Benin. They also show the low availability of essential medicines and supplementary balance sheets for adequate minimal management of HBP in peripheral PHC. It is necessary to carry out more efficient actions in Benin, in particular in the SIP, for better prevention and adequate and low-cost treatment of HBP in these populations.
The authors thank Dr Guédou Fernand for his contribution to the paper, Mr. Maurice Sinha for the English translation, National Program of Non-Commu- nicable Diseases/Health Ministry of Benin, PASS SOUROU Program of Benin- Belgium technical cooperation.
The authors declare no conflict of interest.
Dramé, M.L., Houehanou, C., Sogbohossou, P., Paré, R., Ekambi, A., Mizéhoun-Adissoda, C., Houinato, D., Gyselinck, K., Marx, M., Martins, M.R.O. and Ferrinho, P. (2018) Determinants of High Blood Pressure and Quality of Management in Three Regions of Benin. Open Journal of Epidemiology, 8, 14-28. https://doi.org/10.4236/ojepi.2018.81002