Objective: To assess the care for hypertension in Sierra Leone, by the use of a cascade-of-care approach, to identify where the need for healthcare system interventions is greatest. Methods: Using data from a nationwide household survey on surgical conditions undertaken in 1956 participants ≥18 years from October 2019 to March 2020, a cascade of care for hypertension consisting of four categories – hypertensive population, those diagnosed, those treated and those controlled – was constructed. Hypertension was defined as having a blood pressure ≥140/90 mmHg, or self-reported use of antihypertensive medication. Logistic regression analysis was used to investigate factors associated with undiagnosed hypertension. Results: The prevalence of hypertension was 22%. Among those with hypertension, 23% were diagnosed, 11% were treated and 5% had controlled blood pressure. The largest loss to care (77%) was between being hypertensive and receiving a diagnosis. Male sex, age and living in a rural location, were significantly associated with the odds of undiagnosed hypertension. There was no significant difference between men and women in the number of patients with controlled blood pressure. Adults aged 40 or older were observed to be better retained in care compared with those younger than 40 years of age. Conclusion: There is a significant loss to care in the care cascade for hypertension in Sierra Leone. Our results suggest that increasing awareness of cardiovascular risk and risk factor screening for early diagnosis might have a large impact on hypertension care.
This study used data from a national household‐based survey to estimate surgical and maternal health conditions (PREvalence Study on Surgical COnditions (PRESSCO 2020) study) in Sierra Leone. Data were collected via individual face‐to‐face interviews at the homes of the respondents. Standardised data collection was undertaken by trained nurses and medical staff. Tablets with mobile internet access were used to collect data during field work. Data were subsequently uploaded to and stored in REDCap©, a secure, web‐based software platform hosted at the University Medical Center Utrecht [18, 19]. Data collection took place October to November 2019 and February to March 2020. Sampling was done through a weighted random cluster design, where the probability of cluster choice is proportional to the population size. Clusters in this context referred to enumeration areas, the smallest administrative units in Sierra Leone as per Statistics Sierra Leone. 1.875 households from 75 nationwide clusters were visited. Information on demographic, socio‐economic status (SES), medical history and physical condition was collected by questionnaire. In participants ≥18 years, systolic and diastolic BP was measured three times, preferably on the upper left arm (if this was not possible, the right arm was used), with a 3‐min interval between measurements with OMRON M6 comfort machines (OMRON Healthcare, the Netherlands). The average of the second and third BP measurements was used for analysis. Hypertension was defined as having a mean systolic blood pressure (SBP) ≥140 mmHg and/or a mean diastolic blood pressure (DBP) ≥90 mmHg or self‐reported use of antihypertensive drugs [13, 20, 21]. In order to identify gaps in the care cascade, study participants with hypertension were divided into four categories: total number of participants with hypertension based on BP measurements during the survey (Category 1); number of study participants diagnosed with hypertension (Category 2); number of participants treated (Category 3); and the number that had controlled BP (Category 4). Being diagnosed with hypertension was defined as having received a previous diagnosis by a healthcare worker or health professional. Being treated for hypertension was defined as having a diagnosis and self‐reported current use of antihypertensive drugs. Being controlled for hypertension was defined as currently using antihypertensives and a mean SBP <140 mmHg [20, 21]. The proportion of study participants who reached each stage of the cascade of care was determined using the number of participants in the previous step as the denominator. Age was categorised as 18–34 years, 35–44 years, 45–54 years, 55–64 years, 65+ years, respectively, as 18–39 years and 40+ years. Residential location was divided as urban and rural, following the definition of the 2015 EA census frame of Sierra Leone [22]; ethnicity differentiated between Creole, Limba, Mende, Temne and other ethnicities (including Fullah, Kissi, Kono, Koranko, Loko, Mandingo, Sherbro, Susu, Vai and Yalunka), other African and non‐African. SES encompassed information on education (none, primary school, secondary school and tertiary/higher education) and occupation (employed and unemployed). Lifestyle factors included tobacco use (smoking and non‐smoking) and alcohol consumption (regularly and not regularly). Medical history information included time since diagnosis of hypertension (past year or before); diabetes screening (screened or never been screened); mobility (no problems, some and confined to bed); medical history (heart problems and/or cerebral vascular accident (CVA), other (including leprosy, tuberculosis, Wuchereria bancrofti filariasis), none and unknown). Frequencies and percentages were used to estimate the prevalence of hypertension. To calculate the proportions of study participants diagnosed with hypertension, treated and controlled, we obtained frequencies and percentages of study participants at each step compared with the preceding step. Multivariable logistic regression using backward elimination, with a p‐value of 0.2 for variable selection, was used to investigate demographic, SES and lifestyle predictors of falling out of the care cascade. Logistic regression was conducted on the cascade step with the biggest loss to care. To extrapolate our results to the entire population, we accounted for the weighted random cluster design consisting of 16 clusters and 75 strata. Analyses were done using STATA/IC 15.1 [23]. The study was endorsed by the Masanga Medical Research Unit's Scientific Review Committee (MMRU‐SRC‐009–2019). Ethical approval was obtained from the Sierra Leone National Ethics Committee and The Norwegian National Committee for Research Ethics (Ref‐No 31932). Study approval was obtained from the formal head of each enumerator area, following community engagement activities contributing to the development of the study protocol. District medical officers were informed to expect referrals in case of medical diagnoses, such as undiagnosed high BP in participants of this study, depending on severity referral was within 24 hours or a week. As part of the larger PRESSCO 2020 study, referrals were arranged for patients who had serious medical problems identified during the physical examination. All participants or their guardian signed informed consent forms prior to study enrolment. Privacy and confidentiality were assured through the use of password‐protected tablets, secure internet data transfer and use of anonymised data for analyses.