Abstract
Background
Literature on the burden and management of atherosclerotic cardiovascular disease (ASCVD) in humanitarian settings is limited. This study aimed to describe patient characteristics and explore both service use and use of recommended secondary prevention drugs in Syrian refugee patients with ASCVD attending two Médecins Sans Frontières (MSF) clinics in Lebanon.
Methods
This study comprised a cross-sectional survey of ASCVD patients attending either MSF clinic over a four-week period in early 2017. Using descriptive statistics, we explored patient demographic characteristics, cardiovascular risk factors and assessed ASCVD secondary prevention medication prescription and patient adherence with a 7-day self-report scale. A retrospective study of routine clinical data explored workload and trends in patient loss to follow-up. We performed logistic regression modelling to explore risk factors for loss to follow-up.
Results
We included 514 patients with ASCVD in the cross-sectional study, performed in 2017. Most (61.9%) were male and mean age was 60.4 years (95% CI, 59.6–61.3). Over half (58.8%) underwent revascularization and 26.1% had known cerebrovascular disease. ASCVD risk factors included 51.8% with diabetes and 72.2% with hypertension. While prescription (75.7 to 98.2%) and self-reported adherence rates (78.4 to 93.9%) for individual ASCVD secondary prevention drugs (ACE-inhibitor, statin and antiplatelet) were high, the use of all three was low at 41.3% (CI95%: 37.0–45.6). The 5-year retrospective cohort study (ending April 2017) identified 1286 patients with ASCVD and 16,618 related consultations (comprising 24% of all NCD consultations). Over one third (39.7%) of patients were lost to follow-up, with lower risk among men.
Conclusions
The burden of ASCVD within MSF clinics in Lebanon is substantial. Although prescription and adherence of individual secondary prevention drugs is acceptable, overall use of the three recommended drugs is suboptimal. Loss to follow-up rates were high. Further studies are needed to evaluate innovative strategies to increase the use of the multiple recommended drugs, and to increase the retention of patients with ASCVD in the care system.
Electronic supplementary material
The online version of this article (10.1186/s13031-019-0217-x) contains supplementary material, which is available to authorized users.
Keywords: Cardiovascular disease, ASCVD, Refugee, Syria, Lebanon, Adherence, Humanitarian assistance, Secondary prevention
Background
Non-communicable diseases (NCD) have become a major public health issue worldwide. Cardiovascular diseases (CVDs), cancer, diabetes and chronic lung diseases are the four key NCDs highlighted by WHO [1, 2]. Their burden continues to grow globally, but at a higher rate in low- and middle-income countries (LMICs). Among the 70% (40 million) of global deaths due to NCDs in 2016, CVDs were the leading cause (17.7 million) [2]. In addition, there are an estimated 422.7 million prevalent cases of CVD [1, 3]. Over three quarters of global CVD deaths occur in LMICs, which also bear the burden of most premature deaths (under the age of 70) [4].
Atherosclerotic cardiovascular diseases (ASCVDs), including coronary heart disease, stroke and peripheral vascular diseases, are the most common types of CVD, and patients with existing ASCVD are a population at particularly high risk of suffering a new CVD event [5].
Fortunately, there is high-quality evidence supporting the cost-effectiveness of pharmacological treatment for the secondary prevention of CVD events in patients with ASCVD, including β-blockers, angiotensin-converting-enzyme inhibitors (ACE-Is), statins, and aspirin. These interventions are recommended by all major international guidelines [6–8]. However, the use of this pharmacological treatment is worryingly low worldwide and remains a critical issue in LMICs where up to 80% of ASCVD patients do not have access to even one of the recommended drugs [9, 10].
As the global burden increases, medical humanitarian organisations, such as Médecins sans Frontières (MSF), are increasingly faced with patients needing care for NCDs, including those with ASCVD. While there is growing evidence on the burden and gaps in access to care for NCDs in humanitarian crisis settings, very little has been published on the cost effective management of NCDs in general, and still less on the management of ASCVD, in humanitarian settings [11–15]. This is a significant gap, especially given that limited evidence shows that crises may actually increase CVD mortality, morbidity and risk factors [12, 16–18]. Commentators have noted the challenges that exist around identifying and treating ASCVD even in high-income, stable settings with ready access to medications and diagnostics [19].
It may be more challenging still in crises, given the potential health system disruption, the lack of pre-crisis capacity or access to ASCVD medical management, diagnostics and interventions in many LMICs (particularly at primary care level), and humanitarian actors’ relative inexperience in managing ASCVD. The MSF approach in many settings has been to provide a regular supply of good quality, secondary prevention medications at primary care level along with adherence support for patients with a self-reported history of ASCVD but, thus far, ASCVD cohorts have not been characterised and this approach has not been evaluated.
Over six million Syrians have left their country since the start of the Syrian conflict in 2011 [20]. Neighbouring Lebanon has a national population of around 4 million, and currently hosts an estimated 1.5 million Syrian refugees, of whom just over 1 million are registered with the United Nations High Commissioner for Refugees (UNHCR) [21–23]. NCDs are highly prevalent among the Syrian population. Prior to the conflict, 77% of all deaths in Syria were caused by NCDs, with CVD alone responsible for 44% [24]. A 2014 survey of Syrian refugees in Lebanon found that 50.4% of surveyed households reported at least one member with a chronic condition, including cardiovascular disease in 10.8% of the households [25].
The Lebanese Ministry of Public Health (MoPH) and UNHCR coordinate a complex group of providers to serve Syrian refugees, and UNHCR-registered refugees can access a network of primary care centres [15]. However, they are required to make subsidised co-payments for consultations, medications and referrals for hospital treatment; accessibility varies between areas; and access to hospital-based services is very limited [15, 26]. Registration of Syrian refugees by UNHCR was suspended in May 2015, following Lebanese government instruction, and unregistered refugees are limited to attending facilities funded by private donors or humanitarian organisations, such as MSF [15, 27].
MSF has been providing free-of-charge healthcare to Syrian refugees and the vulnerable host community in Lebanon, in parallel to the MOPH system, since early 2012 in both northern Lebanon and in the Bekaa valley. At the time of the study, MSF was providing integrated primary health care (PHC) with general PHC consultations, sexual and reproductive health, mental health and NCD outpatient care, including secondary prevention for patients with ASCVD.
This study aimed to describe the magnitude of the burden of ASCVD in patients seeking care in two MSF clinics in northern Lebanon, and the characteristics and pattern of care of these patients.
Specifically, our objectives were to describe patients with ASCVD in terms of:
Frequency of the different atherosclerotic cardiovascular conditions
Demographic characteristics
Medication prescription, adherence and use
Pattern of follow-up
Our final goal was to identify current challenges in the model of care in order to find ways to improve the management of patients with ASCVD in the humanitarian context.
Method
Study design
This is a descriptive study with two components: a cross-sectional survey and a retrospective cohort study.
Setting
The study took place in two MSF clinics in northern Lebanon. Dar Al Zahara (DAZ) clinic, open since 2012, is located within a hospital in Tripoli town, North Lebanon governorate. Abdeh clinic, open since April 2015, is situated in Abdeh village, in Akkar governorate north of Tripoli. In both, MSF is providing integrated primary health care to Syrian refugees and vulnerable Lebanese, including NCD care for the following chronic conditions: hypertension, diabetes, cardiovascular disease, epilepsy, hypothyroidism and chronic respiratory disorders. At the time of the study NCD care was offered only to non-Lebanese nationals as Lebanese patients could access such care through a national NCD program.
For ASCVD patients (as for other NCD patients), the offered services included consultations, the provision of essential medications, access to basic investigations, patient education and when necessary, specialist referral. There was an appointment system for patient consultations, but no system to remind patients of upcoming appointments. Care was provided by non-specialist general practitioners (GPs) and nurses, supported by an international specialist doctor. Nurses saw all patients for a check of vital signs, and to organise medication refill if patients fit specific criteria of stability. Patients were then referred to the doctor in case of complications or for every third visit. Laboratory tests were performed on site through point-of-care tests in Abdeh clinic, and in the hospital laboratory in DAZ clinic, according to a rationalised schedule of routine investigations. Patient education, including on hypertension and ASCVD, was provided in the waiting areas by health promotion staff, and individually to patients by trained nurses. Medications and related instructions were given by a pharmacy dispenser nurse. All information collected during consultations was recorded on individual paper files kept at the clinic, and then routinely entered into an MSF database in a disaggregated manner.
Consultation frequency was usually monthly, with consultations of two-monthly frequency being implemented once patients had reached target blood pressure. Patients were treated according to MSF protocols, which were adapted for the local context from leading international guidelines. For the secondary prevention of ASCVD, they involved the concomitant use of an antiplatelet agent and statin, and potentially ACE inhibitors and β-blockers. Relevant extracts from MSF’s Integrated Clinical Pathway for Patients at High Cardiovascular Risk are available in a supplementary file [see Additional file 1].
Participants, data sources and collection
Cross-sectional survey
The cross-sectional survey aimed to describe the characteristics of ASCVD patients.
Participants: The study inclusion criteria were patients aged 18 years and older with established atherosclerotic cardiovascular disease [history of coronary heart disease (CHD), cerebrovascular disease, or peripheral vascular disease (PVD)] enrolled in the NCD cohort of DAZ and Abdeh MSF clinics in northern Lebanon, attending the clinic during a four-week period between March 8th and April 5th 2017.
Variables collected:
Demographic and socio-economic characteristics (age, gender, country of origin, refugee status, address, occupation) as well as date of enrolment in MSF NCD cohort,
ASCVD diagnoses,
Cardiovascular risk factors,
Cardiovascular secondary prevention medications prescribed (including date of initiation and current daily dose),
Self-reported adherence, and
Causes of non-adherence.
ASCVD diagnoses were grouped as (a) Coronary heart disease [myocardial infarction (MI) and angina], (b) cerebrovascular disease [stroke, transient ischaemic attack (TIA)], (c) PVD, (d) previous revascularization [percutaneous coronary angioplasty (PTCA) and coronary artery bypass graft (CABG)]. These were largely based on self-report, although a limited number of refugees arrived in Lebanon with medical records confirming their prior ASCVD diagnoses and patients diagnosed since arrival in Lebanon usually had their diagnoses medically confirmed.
Cardiovascular risk factors collected were: comorbid diabetes, hypertension and current smoking. These were primarily based on self-report, unless the diabetes or hypertension had been newly diagnosed by MSF staff.
Self-reported adherence was assessed using a purpose-designed tool, asking patients the number of days they had taken the relevant drugs as prescribed (the correct number of pills per day) during the previous 7 days, as has been done in other studies [28]. This question was asked for each class of drug they were prescribed for secondary prevention of ASCVD (ACE-I, statin, β-blocker, antiplatelet agent). The patient was considered adherent, for each drug, if the correct number of pills was taken for 5 days or more.
The reasons for non-adherence to any of the recommended drugs were systematically explored using a pre-defined checklist and were based on self-report. The checklist was adapted following a total of eighteen pre-tests, which were performed in both clinics. The patient was asked to volunteer a reason for non-adherence and the nurse then applied a checklist category or detailed it under “other”. The categories were: on doctor’s instructions, forgetfulness, unable to attend clinic, feeling unwell, side effects due to the drug, choosing to take the drug not as prescribed, taking too many drugs, indifference, don’t know (e.g. family member handling drugs), other. An additional reason, “did not understand prescription”, was added after the study commenced since staff frequently encountered this response. We also explored frequency of drug “use”, aiming to capture both adherence by clinicians to prescribing guidelines (via clinical records) and adherence by the patient to taking medications as prescribed (via self-report).
Data sources and collection:
A case report form (CRF) was designed to collect the required information. Every eligible patient seeking care at one of the two MSF clinics during the study period was invited to participate in the study, and every consenting patient signed an informed consent form.
The 4-week period was chosen to maximise participation as the majority of the ASCVD patients were still on a monthly follow-up routine. We expected that approximately 500 patients would fulfil the eligibility criteria. With this sample size, the expected precision for adherence lay between 4.29 and 3.13% for a true prevalence between 60 and 85%.
Each clinic had its own team in charge of implementing the CRF. The NCD nurse was in charge of identifying eligible patients and obtaining informed consent. For consenting patients, the GP filled the ASCVD history and prescription parts of the CRF and referred the patient to the Patient Support Education and Counselling (PSEC) nurse after the consultation. The PSEC nurse recorded the demographic and adherence information on the CRF.
All clinical MSF staff involved in the cross-sectional part of the study were trained on their specific roles and the process for filling the CRF was the same in the two clinics. A pilot test was performed on 8 to 10 patients in each clinic and the CRF was adapted according to the feedback received.
Retrospective cohort study
The objective of the retrospective cohort study was to analyse the burden of ASCVD in patients attending for medical care at MSF clinics in northern Lebanon, as well as the pattern of follow up visits.
Participants
The study inclusion criteria were patients aged 18 years and older with established atherosclerotic cardiovascular disease (history of CHD, cerebrovascular disease, or PVD) enrolled in the NCD cohort of DAZ and Abdeh MSF clinics in northern Lebanon and attending either clinic since its opening until the end of April 2017.
Data, sources, and collection
Data regarding visit dates, type (planned/unplanned) and frequency for all ASCVD patients since the opening of each clinic were extracted from the MSF NCD database containing routinely collected data. These data were cleaned before analysis.
Statistical analysis methods
Categorical variables were described with proportions and continuous variables were summarized with means overall and per clinic. We calculated confidence intervals for the overall estimates and for the clinic level means and proportions.
We explored whether some baseline demographics (sex, age, resident permit, Arabic literacy), time from first visit and clinical factors (ASCVD diagnosis, risk factors) were associated with non-adherence. We coded the factors into binary variables and we used Fisher’s exact tests to compare the proportion of adherent patients between the two categories of each variable.
Patients who were prescribed an ACE-I, statin, β-blocker or antiplatelet agent for the first time at the survey visit were not included in this analysis (unless they were new patients). This was due to a concern that the prescription of such drugs to existing patients at that visit may have been a “corrective measure” taken by the GPs who were responsible for filling out the section of the CRF on prescribed medicines. Additionally, self-reported adherence for angiotensin II receptor blockers (ARBs) was not asked. For the self-adherence analysis, we assumed that adherence to ARBs would have been the same as that for ACE-Is.
With the dates of visits from the retrospective cohort we calculated the number of visits and estimated distribution of delay between visits. We defined a “loss to follow up” (LTFU) episode when a patient had no contact with the clinic for 100 or more consecutive days. We calculated the distribution of LTFU episodes in the patients and we used a logistic regression model to analyse whether sex and age at baseline, only, were associated with the risk of having at least one loss to follow up episode. The model was adjusted for time since enrolment.
Ethical approval
This study received ethical approval from the MSF ethics review board and from the Lebanese University ethical review board.
Our findings are reported here according to STROBE statement guidelines for observational studies [29].
Results
Cross-sectional study
A total of 545 eligible patients with ASCVD were identified during the 4-week period, of whom 94.3% (514) accepted to participate (238 in Abdeh clinic and 276 in DAZ clinic). 31 patients refused to participate, of whom 77% were in Abdeh clinic (n = 24). A third did not give any reason for their decision, 23% had no time to spare, 16% did not feel comfortable participating in a study and a quarter said they did not need/want any improvement in the care they received in MSF clinics (the study was presented as a step for MSF to improve the quality of care being provided).
Patient characteristics
Of the 514 patients who participated, 98.8% of them were Syrian refugees, among whom 98.2% were registered with UNHCR. Table 1 shows the main characteristics of the patients.
Table 1.
Characteristics | Overall [95% CI]a | Abdeh clinic [95% CI] | DAZ clinic [95% CI] |
---|---|---|---|
Demographic | |||
Age (mean) | 60.4 [59.6, 61.3] | 60.8 [59.6, 62.1] | 60.1 [58.9, 61.3] |
Gender (male) | 61.9 [57.5, 66.1] | 66.0 [59.5, 71.9] | 58.3 [52.3, 64.2] |
Resident permit | 27.2 [23.5, 31.3] | 20.2 [15.4, 25.9] | 33.3 [27.9, 39.3] |
Reads Arabic | 58.9 [54.5, 63.2] | 56.7 [50.2, 63.1] | 60.9 [54.8, 66.6] |
ASCVD history | |||
Coronary heart disease | 31.5 [27.6, 35.8] | 13.0 [9.2, 18.1] | 47.5 [41.5, 53.5] |
Cerebrovascular disease | 26.1 [22.4, 30.1] | 27.7 [22.2, 34] | 24.6 [19.8, 30.2] |
Peripheral vascular disease | 1.8 [0.9, 3.4] | 1.7 [0.5, 4.5] | 1.8 [0.7, 4.4] |
Revascularisation | 58.8 [54.4, 63] | 66.0 [59.5, 71.9] | 52.5 [46.5, 58.5] |
Risk factors | |||
Diabetes | 51.8 [47.3, 56.1] | 49.2 [42.7, 55.7] | 54.0 [47.9, 59.9] |
Smoking | 39.7 [35.5, 44.1] | 38.2 [32.1, 44.8] | 40.9 [35.1, 47.0] |
Hypertension | 72.2 [68.1, 76.0] | 66.4 [60.0, 72.3] | 77.2 [71.7, 81.9] |
All 3 risk factors | 12.1 [9.4, 15.3] | 9.2 [6.0, 13.8] | 14.5 [10.7, 19.3] |
aData are presented as proportions or means with 95% Confidence Intervals
Demographic characteristics of the ASCVD patients were comparable between the 2 clinics: mean age of 60.4 (95% CI: 59.6–61.3) years old, majority male (61.9%) and over half literate in Arabic (58.9%). The proportion of patients with a valid resident permit was significantly higher in DAZ than in Abdeh, but still low in both locations, at 33.3 and 20.2% respectively.
With respect to ASCVD history, more than half of the patients (58.5%) had at least one revascularisation (CABG or PTCA), with a higher proportion in Abdeh (66%) compared to DAZ (52.5%). The reported prevalence of CHD was very different between the 2 clinics with only 13% in Abdeh but 47.5% in DAZ. A quarter (26.1%) had a diagnosis of cerebrovascular disease, while only 1.8% had been diagnosed with PVD. About 1 in 5 of the recruited patients (18%) had more than one ASCVD diagnosis.
Regarding cardiovascular risk factors, about half of the patients (51.6%) had diabetes. A majority had hypertension (72.2%); the proportion was higher in DAZ (77.2%) than in Abdeh (66%). Almost 40% of the patients were current smokers. About 1 in 10 of the recruited patients (12.1%) reported all 3 risk factors.
Prescription
A high proportion of patients were prescribed treatment for ASCVD secondary prevention as recommended in the MSF Guidelines (Table 2). Almost all patients were prescribed statin (98.2%) and antiplatelet (97.3%) medication. Over three quarters of the patients were prescribed β-blockers (79.1%) or ACE-I or ARBs. (75.7%). 83.2% of the patients were prescribed three recommended drugs: statin, antiplatelet and at least one anti-hypertensive drug (ACE-I, ARB or β-blockers), while 73.5% were prescribed all three recommended drugs among ACE-I/ARB, statin and antiplatelet.
Table 2.
Drug | Overall [95% CI] | Abdeh clinic [95% CI] | DAZ clinic [95% CI] |
---|---|---|---|
ACE-I or ARB | 75.7 [71.7, 79.3] | 80.3 [74.64, 85.1] | 71.8 [66.0, 77.0] |
Statin | 98.2 [96.5, 99.1] | 95.6 [93.1, 98.4] | 99.6 [97.7, 100] |
Antiplatelet | 97.3 [95.3, 98.4] | 95.3 [91.5, 97.5] | 98.9 [96.6, 99.7] |
Β-blocker (BB) | 79.1 [75.2, 82.5] | 73.8 [67.6, 79.2] | 83.5 [78.5, 87.6] |
Statin, antiplatelet, ACE-I/ARB | 73.5 [69.4, 77.3] | 76.4 [70.3, 81.6] | 71.1 [65.2, 76.3] |
Statin, antiplatelet, ACE-I/ARB/BB | 83.2 [79.6, 86.3] | 79.8 [74.0, 84.7] | 86.1 [81.3, 89.8] |
Among patients who were not prescribed all the recommended drugs, the main reason for not prescribing ACE-I/ARB or β-blocker, according to prescribing clinicians, was because there was “no need” for it, in 38.7 and 89.9% of cases respectively. Occurrence of side effects represented 31.2% of the cases of non-prescription of ACE-I/ARBs but only 1.1% for β-blockers.
Self-reported adherence
Self-reported adherence rates are presented in Table 3. Self-reported adherence to individual drugs was in general high but disparate, with lower rates in DAZ clinic. Self-reported adherence to antiplatelet treatment was very high (93.9%), as it was for β-blocker treatment (90.8%). Self-reported adherence for statins was high in Abdeh (91.2%) but lower in DAZ (67.7%). The same trend was observed for ACE-I, with 90.8% of patients in Abdeh reporting a good level of adherence compared with 75.2% in DAZ. For patients who were prescribed 3 recommended drugs including one anti-hypertensive drug, self-reported adherence was 85.2% in Abdeh and 57.3% in DAZ.
Table 3.
Drug | Overall (%, 95CI) | Abdeh clinic (%, 95 CI) | DAZ clinic (%, 95 CI) |
---|---|---|---|
ACE-I | 83.8 [79.1, 87.6] | 90.8 [85.2, 94.5] | 75.2 [67.1, 81.9] |
Statin | 78.4 [74.4, 81.9] | 91.2 [86.5, 94.4] | 67.7 [61.7, 73.1] |
Antiplatelet | 93.9 [91.3, 95.8] | 95.6 [91.7, 97.7] | 92.5 [88.5, 95.2] |
β—blocker | 90.8 [87.4, 93.4] | 94.1 [75.2, 87.4] | 88.3 [83.2, 92.1] |
Statin, antiplatelet, ACE-I | 69.5 [64.0, 74.6] | 82.0 [75.2, 87.4] | 54.4 [45.7, 62.8] |
Statin, antiplatelet, ACE-I/BB | 72.6 [67.2, 77.5] | 85.2 [78.7, 90.0] | 57.3 [48.5, 65.5] |
Table 4 shows the causes of non-adherence for each drug that patients reported having taken for four days or fewer during the previous week, or at a different dose to the one prescribed (a different number of pills).
Table 4.
Ranking | Overall (N = 228) | ACE-I (N = 53) | Statin (N = 108) | Antiplatelet (N = 30) | BB (N = 37) |
---|---|---|---|---|---|
1st | Did not understand prescription (46%) | Did not understand prescription (47%) | Did not understand prescription (67%) | Doctor’s request (20%) | Did not understand prescription (22%) |
2nd | Patient’s decision (11%) | Patient’s decision (17%) | Side effects (6%) | Forgot (16%), Side-effects, (16%) | Patient’s decision (16%) |
3rd | Side-effects (7%), Doctor’s request (7%) | Doctor’s request (6%), other (6%) | Patient’s decision (5%), MSF-stock ruptures (5%) | Patient’s decision (11%) | Side effects (14%) |
Overall (Table 4), the main reason for non-adherence to one of the drugs was that patients did not understand the prescription in terms of dose (the number of pills they had to take each day), and hence did not take the drug “as prescribed” (46%). This was especially true for statins (67%) and ACE-Is (47%) but it was not a reason for non-adherence to antiplatelets. The second most frequent cause of non-adherence was patient decision (11%), followed by experiencing side effects or following doctor’s request (7%). This last reason was the leading one for low self-reported adherence to antiplatelets (20%).
Non-adherence to statins was associated with having a first consultation in an MSF clinic more than two years ago (p = 0.008) and having a history of CHD (p = 0.002), and revascularisation was associated with increased adherence to statins (p = 0.006). No strong evidence for an association was found between demographics or other clinical factors and adherence to any other treatment.
Overall the combined self-reported adherence to prescription of at least three drugs indicated for ASCVD secondary prevention (statin, antiplatelet and one anti-hypertensive drug) was low at 43.4% (CI95%: 39.1–47.8) of the surveyed patients, with a marked difference between the two clinics: 60.5% (CI95%: 54.0–66.7) in Abdeh clinic and only 28.6% (CI95%: 23.4–34.4) in DAZ clinic.
Retrospective cohort study
Cardiovascular disease burden
From the opening of each of the two clinics until the end of April 2017, the total number of ASCVD patients seen was 1286. Of a total of 16,686 ASCVD consultations, 92.3% were follow-up consultations (n = 15398). The consultations for patients with ASCVD represented 24% of the NCD workload (of 69,010 total NCD consultations during this period). Over 50% of the ASCVD patients had other NCD comorbidities for which they were also reviewed during their consultations.
Follow-up pattern
Table 5 presents treatment interruption and loss to follow up patterns while Fig. 1 shows frequency of follow up and patients' adherence to planned appointments. In the multivariable logistic regression analysis, the only variable associated with LTFU was sex; men had reduced odds of having at least one LTFU episode (OR = 0.72, 95% CI 0.56 to 0.92, p-value = 0.0099) compared to women.
Table 5.
Loss to follow up | Total (n = 1,286) |
---|---|
No return after 1st visit | 138 (10.7%) |
One or more treatment interruption | 743 (58%) |
More than one interruption | 157 (12.2%) |
Lost to follow up at end of study period | 510 (39.7%) |
Discussion
Main findings and comparison with previous studies
Our study shows that a high proportion of clinic workload (24%) is related to patients with a diagnosis of ASCVD among those being treated for NCDs in MSF clinics in northern Lebanon. The mean age (60 years) of the patients who participated in the cross-sectional survey is consistent with other studies that found higher rates of CVD among Syrian refugees in Lebanon older than 60 years old and with the fact that CVD prevalence increases with age [25, 27, 30]. A higher proportion of men among ASCVD patients reflects the increased risk of ASCVD morbidity and mortality in men globally and specifically in Syria [31]. This correlates with results from the Global Health Data Exchange for Syria according to which DALYs associated with Ischemic Artery Diseases and stroke represent 35.5% for men, compared to 24% of women aged 50–69 years old. This holds true for this cohort despite the fact that among Syrian refugees in Lebanon there are more adult women than men in the age ranges 18–59 men and 60+ [22].
In terms of ASCVD history, revascularisation was the most frequently reported manifestation of CVD, with more than half (58.8%) of the ASCVD patients having undergone such a procedure, reflective of the high level of medical care available in Lebanon and in Syria prior to the war. However, fewer patients (31.5%) had a diagnosis of CHD (here defined as angina or MI). The apparent difference in the prevalence of CHD between the two clinics (13% in Abdeh and 47.5% in DAZ) may be due to differences in reporting of medical history. It appeared that medical teams were not routinely recording a diagnosis of CHD for patients with previous revascularisation, and this was more common in Abdeh clinic, where only 3% of patients with previous revascularisation were documented as having CHD compared to 40% in DAZ clinic.
The high prevalence of risk factors such as hypertension and diabetes in ASCVD patients is as expected and has been well documented in similar populations [32–34]. Abdul Rahim et al. reported very similar and increasing rates of smoking in the Arab world generally [35].
MSF protocols for the secondary prevention of ASCVD events were generally well followed and treatment prescription was satisfactory, with recommended drugs being prescribed to at least three quarters of the patients. According to the programme doctors, the main reason for not prescribing β-blockers or ACE-I/ARB (the two least prescribed classes of drugs) was that there was “no need”.
It is interesting to note that having the doctors fill the prescription part of the CRF had a positive side-effect. For 12.3% of patients they corrected the prescription immediately by adding recommended drugs that were found to be missing (either never prescribed or disrupted prescription for no apparent specific reason). There was clearly room for improvement in prescribing, but this act of drug review served to increase prescription fidelity and shows that the clinicians may benefit from reminders to review prescriptions from one follow-up consultation to the next, even when there is a high workload. Similarly, performing periodic prescribing audits in chronic care programmes may help to combat prescriber fatigue and inertia.
Overall, patients reported good adherence to their ASCVD treatment. This finding is consistent with those from a study of adherence to NCD medication of Syrian refugees in Lebanon [36], although a systematic review on adherence to CVD medication in resource-limited settings reported overall adherence at a much lower rate of 57.5% [37].
We found strong evidence of an association for non-adherence to statins with first consultation in MSF clinic taking place more than two years ago and with a CHD diagnosis. By contrast, we found strong evidence of an association between previous revascularisation and increased adherence. Although reasons for these were not explored, it is plausible that the latter group of patients had a better understanding of the need for statin use and thus greater motivation for adherence.
Although prescription and self-reported adherence were acceptable, the combination of the two resulted in a low overall use of the recommended drugs (43.4%). Overall use was much lower in DAZ clinic (28.6%) than in Abdeh clinic (60.5%), resulting from a lower self-reported adherence in DAZ clinic.
Analyses of the apparent adherence disparity between the clinics revealed that the main causes were provider-driven (due to drug shortages leading to short-term changes in dosing, which were inadequately explained to patients), and could therefore be mitigated. On questioning, many patients appeared to have poorly understood their prescription: they had taken the drugs for at least five days during the previous week, but not the appropriate number of pills, anecdotally showing genuine surprise when this was explained to them. This was especially true for statins (accounting for 70% of low adherence cases) as well as for ACE-I. This issue correlated with a change in prescription due to drug shortages that happened a month prior to the study, which led to either a change in the pill strength (simvastatin 20 mg to simvastatin 10 mg), a change between ACE-I drugs (enalapril to captopril), or change of class of drug (ARB instead of ACE-I), in many cases necessitating a change in the daily number of pills taken. In some cases, complete stock outs occurred leading to treatment interruptions.
The second most frequent cause for low adherence was a patient’s decision not to take certain drugs either for the whole week or on a certain number of days. These two reasons highlight the importance of patient support and education in the care process, the value of patient-centeredness, shared decision making, understanding the patient’s beliefs and concerns regarding medications, and tailoring advice and support to each patient [38].
Patients partially followed their appointment schedule: just under half of the consultations took place on the appointment date and an additional 20.3% occurred within the following week. However, having more than half of patients not attend at their scheduled appointment time has a direct implication for work organisation, teams’ workload and quality of care. Improving (and simplifying) the appointment system - such as with a patient reminder system - may prove beneficial. Two-monthly appointments were recommended in the project for stable patients, with potential benefits of decreased clinic workload and burden of attendance for patients. The proportion of patients on this schedule was relatively low but increasing. It was higher in DAZ (22.7%) than in Abdeh (6%), likely due to Abdeh clinic having opened more recently, meaning that patients attending this clinic had had less time to stabilize.
More than half of the patients had at least one episode of loss to follow-up. The process for tracking these patients properly may need to be reinforced, partly to help with understanding contributory causes and identifying those that are modifiable.
Strength and limitations
To our knowledge this is the first study to evaluate the burden of patients with ASCVD and describe their management with a focus on use of recommended medications in humanitarian settings. Most of the data analysed for this study were collected during the cross-sectional component, which lasted one month. Completeness and reliability were therefore increased compared to routinely collected data. The participation rate was high at 94.3% and so selection bias is likely to be minimal.
The data presented here are only representative of Syrian refugees with known ASCVD seeking care in two MSF clinics in Northern Lebanon, and it might not be representative of the overall ASCVD burden among Syrians living in Lebanon.
The main biases that could affect the results of this study are recall bias and acquiescence bias that may have led to an overestimated self-reported adherence. There is a broad range of validated adherence surveys, specifying timeframes from 1 day to 12 months [39]. We tried to minimise potential recall bias by asking about adherence only over the preceding 7 days. This tool has been used in other studies but is not externally validated [28]. Adherence questions were asked by the PSEC nurses, who are part of the regular MSF care team. Until then, they were little involved in the management of ASCVD patients. However, half of the participants also had diabetes and PSEC nurses play an active role in the care of diabetic patients. The existing and ongoing care relationship between the PSEC nurses and some patients could have led to response bias for some of the patients.
Reporting of the number and type of ASCVD events could also be affected by recall bias, especially since many patients arrived from Syria without any medical records. However, validation studies using a variety of tools over the last decade have shown a relatively robust sensitivity of 78–98% for self-reported MI [40].
The adherence question was asked for ACE-I but not for ARB. For the analyses of the overall adherence and use of drugs, we assumed that the adherence to ARB would have been the same as the adherence to ACE-I.
For the retrospective study we reported the data included in the existing information system and there was a degree of missing data. However, there were no missing data in the cross-sectional survey.
Regarding patients lost to follow-up, some may have been considered lost to follow-up at the time of analysis but might have returned to care at a later date. This study has not explored the characteristics of the subpopulation that had unplanned periods of loss to follow up or definitively left the programme.
Implications for research
This research yielded some results that could be interesting to investigate further. Among the main causes of non-adherence, we identified the lack of understanding by patients of the prescription of multiple drugs. The use of a fixed dose combination drug (a polypill) including a statin, aspirin, and at least one anti-hypertensive has been shown to be effective in research studies and may be a simple strategy to increase adherence in humanitarian settings [41]. Additionally, exploring patient perceptions, experiences and understanding of statins and their medical importance to coronary heart disease could help us to understand why patients were less likely to be adherent to statins than to other drugs. Further studies to explore the reasons for loss to follow up would be important to better understand the patient and clinic level barriers in order to develop specific strategies to tackle these.
Overall, it is important to design and evaluate simplified models of care to help increase prescription rates, adherence, and overall use of cardiovascular secondary prevention medications and to ensure regular follow-up of patients with ASCVD, while balancing with clinic capacity. Potential components of these simplified models could include decreased consultation frequency for stable patients as well as an enhanced community involvement, especially in the context of protracted humanitarian crises. Community health programmes have been reported to positively support vulnerable populations and refugees to access health care [9, 36]. Because of MSF’s substantial experience in managing patients with HIV/AIDS (also necessitating chronic care) in humanitarian settings it could be interesting to adapt some of the lessons learnt from these models to patients with ASCVD.
Finally, developing an information system that could better monitor the impacts of programmatic changes could be a powerful tool to support informed decision-making.
Conclusion
The burden of CVD and other NCDs is increasing globally and even more rapidly in LMICs. This epidemiological transition has a direct impact on the needs of crisis-affected populations and hence on the care that needs to be provided by aid organisations. Providing adequate CVD care in limited-resource settings remains a challenge. MSF has developed a model to provide NCD care in high-workload humanitarian settings, utilising non-specialist general practitioners, with tasks shifted from doctors to nurses, and using a rationalised list of standardized drugs. Our study showed overall acceptable results in these two clinics in Lebanon: patients were following their care recommendations with reasonable follow-up rates and adherence to treatment, and prescriptions aligned with the protocols. However, MSF is working to continue to improve, refine and evaluate effective and sustainable NCD care models for humanitarian settings.
Additional file
Acknowledgements
The authors would like to thank the patients and staff of the MSF clinics who took part in this study and Sahar Masri for her management support.
Abbreviations
- ACE-I
Angiotensin Converting Enzyme Inhibitor
- ARB
Angiotensin Receptor II Blocker
- ASCVD
Atherosclerotic Cardiovascular Disease
- BB
β-blocker
- CABG
Coronary Artery Bypass Graft
- CHD
Coronary Heart Disease
- CI
Confidence Interval
- CRF
Case Report Form
- CVD
Cardiovascular Disease
- DALYs
Disability Adjusted Life Years
- DAZ
Dar Al Zahara
- GBD
Global Burden of Disease
- GP
General Practitioner
- HIV/AIDS
Human Immunodeficiency Virus/Autoimmune Deficiency Syndrome
- LMICs
Low- and Middle-Income Countries
- LTFU
Lost to Follow Up
- MOPH
Ministry of Public Health
- MSF
Médecins sans Frontières
- NCD
Noncommunicable Disease
- NGO
Non-governmental Organisation
- PHC
Primary Health Centre
- PSEC
Patient Support Education and Counselling
- PTCA
Percutaneous Transluminal Coronary Angioplasty
- PVD
Peripheral Vascular Disease
- STROBE
Strengthening the Reporting of Observational Studies in Epidemiology
- TIA
Transient Ischaemic Attack
- UNHCR
United Nations High Commissioner for Refugees
- WHO
World Health Organization
Authors’ contributions
PB and PP conceived of the study; PB, PP, ASB, NS, RKZ designed the study. ASB collected the data and drafted the manuscript. PB and EA made substantial contributions to drafting the manscript and all authors reviewed and approved the final version.
Funding
Médecins sans Frontières Operating Centre Geneva funded this study. The first authors are employees of MSF and were involved in conception and design of the study, collection and analysis of data and drafting of the manuscript.
Availability of data and materials
The datasets used and/or analysed during the current study are available from Médecins sans Frontières- Operating Centre Geneva on reasonable request.
Ethics approval and consent to participate
Approval for the conduct of this study was received from the Lebanese University (date: 6th of February 2017) and Médecins sans Frontières (number 1616) Ethical Review Boards.
Consent for publication
Informed consent was sought from each participant of the cross-sectional survey. Specific consent to publish was not sought from the additional patients who were included in the retrospective analysis of routine clinical data.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Philippa Boulle and Albane Sibourd-Baudry are joint first authorship.
References
- 1.WHO | Noncommunicable diseases. [cited 2016 Apr 23]; Available from: http://www.who.int/mediacentre/factsheets/fs355/en/.
- 2.GBD 2016 Causes of Death Collaborators M, Abajobir AA, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet (London, England) [Internet]. 2017 Sep 16 [cited 2019 Jan 9];390(10100):1151–1210. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28919116. [DOI] [PMC free article] [PubMed]
- 3.Roth GA, Johnson C, Abajobir A, Abd-Allah F, Abera SF, Abyu G, et al. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015. J Am Coll Cardiol [Internet]. 2017 [cited 2019 Jan 9];70(1):1–25. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28527533. [DOI] [PMC free article] [PubMed]
- 4.WHO Fact sheet/Cardiovascular diseases (CVDs) [Internet]. [cited 2019 Jun 13]. Available from: hhttps://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).
- 5.Kerr AJ, Broad J, Wells S, Riddell T, Jackson R. Should the first priority in cardiovascular risk management be those with prior cardiovascular disease? Heart [Internet]. 2009 [cited 2019 Jan 9];95(2):125–129. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18381374. [DOI] [PubMed]
- 6.WHO 2007, Prevention of Cardiovascular Disease, Guidelines for assessment and management of cardiovascular risk - Google Search [Internet]. [cited 2019 Jan 9]. Available from: https://www.google.com/search?client=safari&rls=en&q=WHO+2007,+Prevention+of+Cardiovascular+Disease,+Guidelines+for+assessment+and+management+of+cardiovascular+risk&ie=UTF-8&oe=UTF-8.
- 7.Smith SC, Benjamin EJ, Bonow RO, Braun LT, Creager MA, Franklin BA, et al. AHA/ACCF Secondary Prevention and Risk Reduction Therapy for Patients With Coronary and Other Atherosclerotic Vascular Disease: 2011 Update. Circulation [Internet]. 2011 [cited 2019 Jan 9];124(22):2458–2473. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22052934. [DOI] [PubMed]
- 8.Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J [Internet]. 2016 Aug 1 [cited 2019 Jan 9];37(29):2315–2381. Available from: https://academic.oup.com/eurheartj/article-lookup/doi/10.1093/eurheartj/ehw106.
- 9.Murphy A, Palafox B, O’Donnell O, Stuckler D, Perel P, AlHabib KF, et al. Inequalities in the use of secondary prevention of cardiovascular disease by socioeconomic status: evidence from the PURE observational study. Lancet Glob Heal [Internet]. 2018 [cited 2019 Jan 9];6(3):e292–e301. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29433667. [DOI] [PMC free article] [PubMed]
- 10.Yusuf S, Islam S, Chow CK, Rangarajan S, Dagenais G, Diaz R, et al. Use of secondary prevention drugs for cardiovascular disease in the community in high-income, middle-income, and low-income countries (the PURE Study): a prospective epidemiological survey. Lancet [Internet]. 2011 [cited 2018 may 21];378(9798):1231–1243. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21872920. [DOI] [PubMed]
- 11.Ruby A, Knight A, Perel P, Blanchet K, Roberts B. Shimosawa T, editor. The Effectiveness of Interventions for Non-Communicable Diseases in Humanitarian Crises: A Systematic Review. PLoS One [Internet]. 2015 25 [cited 2017 Nov 28];10(9):e0138303. Available from: http://dx.plos.org/10.1371/journal.pone.0138303 [DOI] [PMC free article] [PubMed]
- 12.Jawad M, Vamos EP, Najim M, Roberts B, Millett C. Impact of armed conflict on cardiovascular disease risk: a systematic review. Heart [Internet]. 2019 [cited 2019 Jun 13];heartjnl-2018-314459. Available from: http://www.ncbi.nlm.nih.gov/pubmed/31138670. [DOI] [PubMed]
- 13.Jobanputra K, Boulle P, Roberts B, Perel P. Three Steps to Improve Management of Noncommunicable Diseases in Humanitarian Crises. PLOS Med [Internet]. 2016 8 [cited 2017 Nov 28];13(11):e1002180. Available from: http://dx.plos.org/10.1371/journal.pmed.1002180. [DOI] [PMC free article] [PubMed]
- 14.Kehlenbrink S, Smith J, Ansbro É, Fuhr DC, Cheung A, Ratnayake R, et al. The burden of diabetes and use of diabetes care in humanitarian crises in low-income and middle-income countries. Lancet Diabetes Endocrinol [Internet]. 2019 [cited 2019 Apr 23];0(0). Available from: http://www.ncbi.nlm.nih.gov/pubmed/30878268. [DOI] [PubMed]
- 15.Akik C, Ghattas H, Mesmar S, Rabkin M, El-Sadr WM, Fouad FM. Host country responses to non-communicable diseases amongst Syrian refugees: a review. Confl Health [Internet]. 2019;13(1):8. [cited 2019 Jul 5]. Available from: https://conflictandhealth.biomedcentral.com/articles/10.1186/s13031-019-0192-2. [DOI] [PMC free article] [PubMed]
- 16.Hayman KG, Sharma D, Wardlow RD, Singh S. Burden of Cardiovascular Morbidity and Mortality Following Humanitarian Emergencies: A Systematic Literature Review. Prehosp Disaster Med [Internet]. 2015 [cited 2018 Sep 25];30(01):80–88. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25499440. [DOI] [PMC free article] [PubMed]
- 17.Lo J, Patel P, Shultz JM, Ezard N, Roberts B. A systematic review on harmful alcohol use among civilian populations affected by armed conflict in low- and middle-income countries. Subst Use Misuse [Internet]. 2017 [cited 2019 Feb 13];52(11):1494–1510. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28471305. [DOI] [PubMed]
- 18.Lo J, Patel P, Roberts B. A systematic review on tobacco use among civilian populations affected by armed conflict. Tob Control [Internet]. 2016 [cited 2018 Oct 11];25(2):129–140. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25770116. [DOI] [PubMed]
- 19.Mc Clellan M, Brown N, Califf RM, Warner JJ. Call to Action: Urgent Challenges in Cardiovascular Disease: A Presidential Advisory From the American Heart Association. Circulation [Internet]. 2019 26 [cited 2019 Jun 13];139(9). Available from: https://www.ahajournals.org/doi/10.1161/CIR.0000000000000652. [DOI] [PubMed]
- 20.UNHCR - UNHCR Global Trends 2018 [Internet]. Geneva. 2019 [cited 2019 Jul 1]. Available from: https://www.unhcr.org/uk/statistics/unhcrstats/5d08d7ee7/unhcr-global-trends-2018.html.
- 21.Central Administration of Statistics - About Lebanon [Internet]. [cited 2017 Oct 20]. Available from: http://www.cas.gov.lb/index.php/about-lebanon-en
- 22.Situation Syria Regional Refugee Response [Internet]. [cited 2017 Oct 20]. Available from: https://data2.unhcr.org/en/situations/syria?id=122.
- 23.ECHO Factsheet - Lebanon: Syria crisis - March 2017. [cited 2019 Jan 9]. Available from: https://reliefweb.int/sites/reliefweb.int/files/resources/lebanon_syrian_crisis_en_0.pdf.
- 24.WHO | Noncommunicable diseases country profiles 2011 [Internet]. Geneva: World Health Organization; 2011 [cited 2016 Apr 23]. Available from: http://www.who.int/nmh/countries/2011/en/.
- 25.Doocy S, Lyles E, Akhu-Zaheya L, Oweis A, Al Ward N, Burton A. Wang Y, editor. Health Service Utilization among Syrian Refugees with Chronic Health Conditions in Jordan. PLoS One [Internet]. 2016 [cited 2016 Dec 21];11(4):e0150088. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27073930. [DOI] [PMC free article] [PubMed]
- 26.Agonizing choices: Syrian refugees in need of health care in Lebanon | Amnesty International [Internet]. [cited 2018 Oct 24]. Available from: https://www.amnesty.org/en/documents/MDE18/001/2014/en/.
- 27.Health Access and Utilisation Survey Among Non-Camp Syrian Refugees. Lebanon. July, 2014. [Internet]. 2014 [cited 2019 Jan 10]. Available from: https://data2.unhcr.org/en/documents/download/42095.
- 28.Webster R, Salam A, de Silva HA, Selak V, Stepien S, Rajapakse S, et al. Fixed Low-Dose Triple Combination Antihypertensive Medication vs Usual Care for Blood Pressure Control in Patients With Mild to Moderate Hypertension in Sri Lanka. JAMA [Internet]. 2018 Aug 14 [cited 2018 Sep 11];320(6):566. Available from: http://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.2018.10359. [DOI] [PMC free article] [PubMed]
- 29.von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med [Internet]. 2007 [cited 2019 Jan 9];147(8):573–577. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17938396. [DOI] [PubMed]
- 30.Hidden victims: New research on older, disabled and injured Syrian refugees | Latest news | HelpAge International [Internet]. [cited 2018 May 4]. Available from: http://www.helpage.org/newsroom/latest-news/hidden-victims-new-research-on-older-disabled-and-injured-syrian-refugees/.
- 31.Bots SH, Peters SAE, Woodward M, Sanne D, Peters AE. Sex differences in coronary heart disease and stroke mortality: a global assessment of the effect of ageing between 1980 and 2010. BMJ Glob Heal [Internet]. 2017 [cited 2019 9];2:298. Available from: 10.1136/bmjgh-2017-000298. [DOI] [PMC free article] [PubMed]
- 32.Almahmeed W, Arnaout MS, Chettaoui R, Ibrahim M, Kurdi MI, Taher MA, et al. Coronary artery disease in Africa and the Middle East. Ther Clin Risk Manag [Internet]. 2012 Feb [cited 2019 Jan 9];8:65. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22368447. [DOI] [PMC free article] [PubMed]
- 33.Abchee A, Puzantian H, Azar ST, Shbaklo H, Nasrallah A, Sawaya FJ, et al. Predictors of coronary artery disease in the Lebanese population. Thromb Res [Internet]. 2006 [cited 2019 Jan 9];117(6):631–637. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15985286. [DOI] [PubMed]
- 34.Barakat H, Barakat H, Baaj MK. CVD and obesity in transitional Syria: a perspective from the Middle East. Vasc Health Risk Manag [Internet]. 2012 [cited 2019 Jan 9];8:145–150. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22454558. [DOI] [PMC free article] [PubMed]
- 35.Rahim HFA, Sibai A, Khader Y, Hwalla N, Fadhil I, Alsiyabi H, et al. Non-communicable diseases in the Arab world. Lancet [Internet]. 2014 Jan [cited 2016 Jun 26];383(9914):356–367. Available from: https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(13)62383-1/fulltext. [DOI] [PubMed]
- 36.Sethi S, Jonsson R, Skaff R, Tyler F. Community-Based Noncommunicable Disease Care for Syrian Refugees in Lebanon. Glob Heal Sci Pract [Internet]. 2017 [cited 2018 27];5(3):495–506. Available from: http://www.ghspjournal.org/lookup/doi/10.9745/GHSP-D-17-00043. [DOI] [PMC free article] [PubMed]
- 37.Bowry ADK, Shrank WH, Lee JL, Stedman M, Choudhry NK. A Systematic Review of Adherence to Cardiovascular Medications in Resource-Limited Settings. J Gen Intern Med [Internet]. 2011 Dec 20 [cited 2019 Jan 9];26(12):1479–1491. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21858602. [DOI] [PMC free article] [PubMed]
- 38.Nguyen T-M-U, Caze A La, Cottrell N. What are validated self-report adherence scales really measuring?: a systematic review. Br J Clin Pharmacol [Internet]. 2014;77(3):427–45. [cited 2017 Jan 9]. Available from: 10.1111/bcp.12194. [DOI] [PMC free article] [PubMed]
- 39.Nguyen T-M-U, La Caze A, Cottrell N, Nguyen BPharm T-M-U. What are validated self-report adherence scales really measuring?: a systematic review. [DOI] [PMC free article] [PubMed]
- 40.Eliassen B-M, Melhus M, Tell GS, Borch KB, Braaten T, Broderstad AR, et al. Validity of self-reported myocardial infarction and stroke in regions with Sami and Norwegian populations: the SAMINOR 1 Survey and the CVDNOR project. BMJ Open [Internet]. 2016 [cited 2019 Jun 13];6(11):e012717. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27903562. [DOI] [PMC free article] [PubMed]
- 41.Huffman MD, Xavier D, Perel P. Uses of polypills for cardiovascular disease and evidence to date. Lancet (London, England) [Internet]. 2017 [cited 2018 may 21];389(10073):1055–65. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28290995. [DOI] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets used and/or analysed during the current study are available from Médecins sans Frontières- Operating Centre Geneva on reasonable request.