Keywords Atmeh - burden of disease - child and adolescent health - internally displaced people
- Syrian crisis - teenage pregnancy
INTRODUCTION
The eruption of conflict in Syria has brought the country’s health-care system to
collapse. The destruction of health-care facilities, critical shortages of supplies
and personnel, and mass displacement of people from one part of the country to another
have contributed to the failure of health-care delivery that has been described elsewhere
extensively.[1 ],[2 ],[3 ],[4 ],[5 ] Recent estimates indicate that more than 5.6 million people have fled Syria as refugees,
and 6.5 million people have been internally displaced.[6 ] Many local, regional, and international organizations have extended their assistance.
Their efforts, however, remain limited and often uncoordinated. Among the nongovernmental
organizations (NGOs) is the Syrian Expatriate Medical Association (SEMA), formed by
a group of health-care professionals who are dedicated to providing the affected population
with the much needed health-care services.[7 ]
Efforts to implement and maintain health information systems (HIS) in humanitarian
crises or conflict areas, which meet international data protection standards, have
been challenging. In Syria, further challenges include the exodus of staff who could
carry out this work, the volume of work particularly at the time of attacks, the targeting
of health facilities, and the intermittent internet connectivity. To address the gap
in HIS, SEMA implemented a data collection and reporting system in SEMA-affiliated
health-care facilities called “HealthySyriaTB,” which enables data collection from
the field; the main aim is to support reporting and planning for SEMA’s health programs.
The Healthy-Syria project is a comprehensive medical project that aims to highlight
the health-care challenges in Syria, especially in areas where internally displaced
people (IDP) live. The project is inspired by the Global Burden of Disease (GBD) group
experience and findings,[8 ] and envisioned to provide a good start, not only for patient care but for clinical
research as well. This study is part of the Healthy-Syria 2017 project.
The aim of this study was to review the cohort data obtained prospectively from the
routine clinical care of patients using the newly implemented HIS. The focus was on
the clinical presentations of children and adolescents with a view to describing their
disease burden and understanding their health-care needs.
METHODS
Overview
The SEMA is an NGO that was established in 2011 to serve the medical needs of people
in Syria, especially those living in IDP camps. By 2017, it had registered branches
in a number of countries including the United States, Turkey, Italy, and France with
40 affiliated medical facilities in Syria and neighboring countries (http://www.sema-us.org/).
The HealthySyriaTB program includes a simplified electronic medical record system
developed by the authors (A.S.T. and B.B.). It is designed to describe morbidity and
mortality records. The goal is to provide reliable and updated reports to help optimize
health-care efforts, through an improved distribution of resources (financial, logistics,
and man power), and to guide future structural improvement projects including a telemedicine
system. We introduced this program in one of the SEMA-affiliated centers, in February
2017 and are in the process of gradually implementing it in the rest of our facilities.
More information about the system is available as a video at https://vimeo.com/240285087
and the online version is available at www.healthysyria.net.
The study center is located in the northwest Syrian in a town called Atmeh, which
is situated in Idlib governorate; the town is close to several camps that house scores
of IDP [Figure 1 ]. During the study period, the study center served an estimated population of 500,000
people who settled within an area of approximately 65 km2. Approximately, 250,000
people lived in this area before 2011.[9 ] However, as this area was considered relatively safe, because of its proximity to
the Turkish border, the population density in this area continued to increase with
each new wave of displacement; the most recent evacuation of civilians from eastern
Ghouta in April 2018 resulted in an additional 300,000 to the population in Idlib
governorate, some of whom reside in this area.
Figure 1: The study center location represented by the (x) sign in the map
In the study district, there are a total of five medical centers, one specializing
in burns, one in trauma and general surgery, one in trauma and orthopedic surgery,
and two in women’s and children’s health. The study center offers free services for
women and children health care; it is equipped with a pharmacy and a medical laboratory,
which can process all basic laboratory workups. Our center is within 1 km distance
from all IDP camps. All services are provided without charge. The children of this
area are served by a total of nine physicians (five pediatricians and four pediatric
residents). Six of these physicians, including three residents, are based in the study
center. One visiting pediatric neurologist contributes to the care of these patients
for 8-h shift on a weekly basis.
Data collection
This is a prospective data registry study, conducted under SEMA—institutional review
board, approval number (2017-03). Data collection spans from February to December
2017. After the pediatrician makes a diagnosis, data entry is assigned to a dedicated
staff member who inputs all the information related to patients’ file using “HealthySyriaTB”
program. All diagnoses entered are based on the international classification of diseases
(ICD-10) coding system, which has helped to reduce differences in reporting and has
decreased the impact of language barriers among providers. Data were entered on daily
basis, saved in a local server then synchronized with the mother server. The program
designates a unique medical record number (MRN), composed of 12 digital figures and
letters for each patient. This unique MRN prevents duplication and maintains anonymity
for data analysis and maintains the patients’ records for future use. On each subsequent
visit, the program will create a new encounter for each department the patient uses.
The minimum required data to create a medical record or register a visit include patient’s
name, date of birth, social number, sex, living conditions (IDP vs. resident), visit
date, and diagnosis. Other recommended information includes height, weight, blood
group, and drug allergies.
The pediatric clinic is open from Sunday to Thursday from 8 am to 3 pm, and the hospital
provides 24-h emergency services. Once the patient arrives, the nurse performs a triage
check including the vital signs and anthropometric measurements, then the patient
is medically evaluated. On average, the pediatric clinic serves 50 patients a day.
Newborn infants are usually assessed soon after birth by the on-call pediatrician
who provides any required resuscitation; after 2h of the customary care and stabilization,
the infant is usually discharged home with his or her mother if they are well.
Data management
We divided patients into six distinct age groups: neonates (1–27 days), infants (28–364
days), toddlers (1–4 years), childhood (5–9 years), early teenage (10–14 years), and
late teenage (15–19 years) groups. This classification has been used consistently
in large epidemiological studies, such as the GBD 2016 study.[10 ]
Prevalence is presented as frequency and percentage for each disease entity. The denominator
used for percentages is the total number of patients seen at the center. Thus, patients
who visited the center but did not receive a diagnosis (e.g., normal examination)
were included in the denominator for calculating the percentage/prevalence rates.
The patient’s condition of living is based on the location of residence; those who
reside in any one of the IDP camps were designated as IDP, whereas those who lived
outside the camp, whether renting or owning homes, were classified as town residents;
some of this latter group could also be IDP from other areas. In any given patient,
when a diagnosis of an infectious disease was made within 2 weeks of a similar diagnosis,
we considered both as a continuum of one disease entity that have not abated yet.
Online Supplementary Table 1 enlists the ICD-10 codes used in grouping diseases/conditions
reported in this study, based on definitions used in previous GBD study.[10 ]
We used the World Health Organization (WHO) criteria for diagnosing acute malnutrition
based on three criteria; mid-upper arm circumference (MUAC), weight-for-height/length
(z score), and clinical (i.e., presence of edema). Although severe acute malnutrition
(SAM) is defined by a very low weight-for-height (below – 3 z scores of the median
WHO growth standards), by visible severe wasting (based on MUAC), or by the presence
of nutritional edema.[11 ] The MUAC was mainly used for patients aged between 6 and 59 months, plus their z
score. Although for patients under 6 months old, we mainly used the z score.
For acute diarrheal diseases, we used the WHO classification,[12 ] which classifies acute diarrhea into three categories:
Acute watery diarrhea: lasts several hours or days, and includes cholera
Acute bloody diarrhea: also called dysentery
Other acute diarrhea: not included in the above two categories
Finally, correlation between the prevalence of encountered diseases/conditions and
potentially related variables was explored. We evaluated the effect of age, sex, season
of the year, and condition of living (IPD vs. town resident) on the incidence of the
most common communicable diseases and nutritional deficiencies.
Statistical analysis
We present descriptive results, using frequency, percentage, mean, standard deviation
(SD), median, and minimum and maximum numbers (min – max), as appropriate. We used
the chi-square test to calculate P values when comparing categorical and frequency
results. We used McNemar’s test to compare odd ratios (OR). We considered a P value
of 0.05 or less as statistically significant. Analyses were carried out and graphs
were prepared using Excel 2017 (Microsoft) and R version 3.3.2.
RESULTS
We included 11,819 patients in this study, of them 5,288 (45%) were males and 6,531
(55%) were females. Among these patients, 6300 (53%) lived in an IDP camp and 5,520
(47%) were residents in town. Their age distribution is as follows:
Neonates: 862 (7%) patients, 467 (9%) males and 395 (6%) females, from all cases
Infants: 3662 (31%) patients, 1921 (36%) males and 1741 (27%) females, from all cases
Toddlers: 2383 (20%) patients, 1267 (24%) males and 1116 (17%) females, from all cases
Childhood: 2103 (18%) patients, 1142 (22%) males and 961 (15%) females, from all cases
Early teenage: 988 (8%) patients, 455 (9%) males and 533 (8%) females, from all cases
Late teenage: 1821 (15%) patients, 36 (1%) males and 1785 (27%) females, from all
cases
A total of 23,427 patient encounters were observed during the study period; 19,740
resulted in a recorded diagnosis. Encounters because of respiratory diseases topped
the list of the most common illness categories for all age groups, 6320 (27%), except
in the late teenage, when gynecological/obstetric complaints dominated, pregnancy-related
issues represented the most common cause for consultation.
Etiologically, infectious diseases caused most of the burden across all age groups;
with upper respiratory tract infections (URTIs), infectious diarrhea, and otitis media
representing almost half (47%) of all cases. Nutritional deficiencies were diagnosed
in 978 patients (8%), mostly in infants and toddlers (92%). Patients in the IDP camps
represented a greater proportion of those with nutritional deficiencies (66% of all
cases) compared to town residents (P ≤ 0.001). SAM cases were also more common among IDP (77% of all cases) (p ≤ 0.001).
Of interest, a similar distribution for dermatological conditions was observed. As
for endocrine disorders, children and early teens were more affected (78%) than other
age groups. The same pattern was found for the musculoskeletal illnesses with 64%
of cases among IDP. Cardiac presentations were encountered only in 44 (0.003%) patients.
A total of 59% were diagnosed in patients who were less than 1 year old.
Poisoning was encountered in 100 patients with clear predilection in males and young
age; 60% of them occurred in children aged 4 years or younger. No difference was found
related to the condition of living (camps vs. town). No cases were reported in newborn
infants or late teenage groups. Thirty-two percent (n = 32) of cases labeled as “poisoning” were secondary to insect and arthropod envenomation,
41% (n = 41) secondary to food poisoning, and the remainder 27% (n = 27) were due to the ingestion of household chemicals and medications.
[Figure 2 ] summarizes the top 20 most common diseases encountered by patients.
Figure 2: Top 20 causes of diseases in all studied population. Note: Percentages of
this figure are of the total numbers of patients with these top 20 illnesses not the
total of all cohorts. Values represent percentage among all patients
[Table 1 ] summarizes the top 15 most common diagnoses encountered among different age groups.
Table 1
Drugs
Diagnosis
Total
Male
Female
Frequency
Percentage among age group
Frequency
Percentage among age group
Frequency
Percentage among age group
NA = Not applicable
Neonates (1-27 days)
Total (862 patients)
Male (467 patients)
Female (395 patients)
Neonatal jaundice; due to all reasons
256
29.7
152
32.54
104
26.32
Abdominal colic/other and unspecified abdominal pain
92
10.67
43
9.21
49
12.41
Influenza due to other identified influenza virus
72
9.36
38
8.14
34
8.61
Omphalitis of newborn
67
7.77
31
6.64
36
9.11
Recurrent oral aphthae
57
6.61
27
5.78
30
7.59
Acute bronchiolitis
41
4.76
21
4.50
20
5.06
Conjunctivitis
39
4.52
25
5.35
14
3.54
Nonsuppurative otitis media
25
2.90
13
2.78
12
3.04
Nasopharyngitis, common cold
25
2.90
13
2.78
12
3.04
Infantile colic
24
2.78
18
3.85
6
1.52
Viral and other specified intestinal infections
24
2.78
10
2.14
14
3.54
Dehydration fever
23
2.67
12
2.57
12
3.04
Nausea and vomiting
21
2.44
10
2.14
11
2.78
Diaper (napkin) dermatitis
20
2.32
10
2.14
10
2.53
Fever of other and unknown origin
19
2.20
13
2.78
6
1.52
Infants (28-365 days)
Total (3662 patients)
Male (1921 patients)
Female (1741 patients)
Nonsuppurative otitis media
901
24.60
502
26.13
399
22.92
Influenza due to other identified influenza virus
855
23.35
438
22.80
417
23.95
Acute bronchiolitis
668
18.24
389
20.25
279
16.03
Viral and other specified intestinal infections
605
16.52
344
17.91
255
14.65
Asthma
436
11.91
309
16.09
127
7.29
Other nutritional deficiencies
419
11.44
229
11.92
190
10.91
Viral intestinal infection, unspecified
266
7.26
140
7.29
123
7.06
Urinary tract infection
191
5.22
66
3.44
125
7.18
Acute watery diarrhea/suspected cholera
188
5.13
84
4.37
98
5.63
Abdominal colic/other and unspecified abdominal pain
156
4.26
88
4.58
68
3.91
Fever of unknown origin
135
3.69
64
3.33
69
3.96
Nasopharyngitis, common cold
129
3.52
70
3.64
59
3.39
Acute bronchitis
125
3.41
62
3.23
63
3.62
Diarrhea and gastroenteritis of presumed infectious origin
121
3.30
76
3.96
43
2.47
Recurrent oral aphthae
115
3.14
57
2.97
58
3.33
Toddlers (above 1-4 years)
Total (2383 patients)
Male (1267 patients)
Female (1116 patients)
Nonsuppurative otitis media
643
26.98
370
29.20
273
24.46
Influenza due to certain identified influenza viruses
514
21.57
254
20.05
260
23.30
Viral intestinal infection, unspecified
459
19.26
273
21.55
186
16.67
Asthma
380
15.95
238
18.78
142
12.72
Acute bronchiolitis
311
13.05
198
15.63
113
10.13
Acute tonsillitis
177
7.43
107
8.45
70
6.27
Urinary tract infection
158
6.63
39
3.08
119
10.66
Streptococcal, tonsillitis
113
4.74
57
4.50
56
5.02
Fever of unknown origin
107
4.49
47
3.71
60
5.38
Acute pharyngitis
102
4.28
52
4.10
50
4.48
Acute watery diarrhea/suspected cholera
89
3.73
47
3.71
42
3.76
Streptococcal pharyngitis
88
3.69
41
3.24
47
4.21
Gastroenteritis and colitis of unspecified origin
63
2.64
27
2.13
36
3.23
Diarrhea and gastroenteritis of presumed infectious origin
62
2.60
40
3.16
22
1.97
Nasopharyngitis, common cold
57
2.39
30
2.37
27
2.42
Childhood (5-9 years)
Total (2103 patients)
Male (1142 patients)
Female (961 patients)
Influenza due to other identified influenza virus
256
12.17
180
15.76
176
18.31
Asthma
177
8.42
107
9.37
70
7.28
Acute tonsillitis
173
8.23
99
8.67
74
7.70
Nonsuppurative otitis media
162
7.70
86
7.53
76
7.91
Streptococcal, tonsillitis
162
7.70
87
7.62
75
7.80
Urinary tract infection
126
5.99
26
2.28
100
10.41
Acute bronchiolitis
113
5.37
59
5.17
54
5.62
Viral and other specified intestinal infections
102
4.85
56
4.90
46
4.79
Streptococcal pharyngitis
79
3.76
40
3.50
39
4.06
Fever of unknown origin
70
3.33
27
2.36
43
4.47
Acute pharyngitis
65
3.09
37
3.24
28
2.91
Cystitis
60
2.85
12
1.05
48
4.99
Anorexia
59
2.81
28
2.45
31
3.23
Childhood (5-9 years)
Total (2103 patients)
Male (1142 patients)
Female (961 patients)
Unspecified urinary incontinence
57
2.71
19
1.66
38
3.95
Chronic sinusitis
53
2.52
25
2.19
28
2.91
Early teenage (10-14 years)
Total (988 patients)
Male (455 patients)
Female (533 patients)
Influenza due to other identified influenza virus
142
14.37
70
15.38
72
13.51
Urinary tract infection
87
8.81
11
2.42
76
14.26
Short stature
74
7.49
31
6.81
43
8.07
Asthma
69
6.98
49
10.77
20
3.75
Acute tonsillitis
68
6.88
29
6.37
39
7.32
Streptococcal, tonsillitis
62
6.28
27
5.93
35
6.57
Viral and other specified intestinal infections
52
5.26
28
6.15
24
4.50
Nonsuppurative otitis media
44
4.45
22
4.84
22
4.13
Acute pharyngitis
36
3.64
15
3.30
21
3.94
Acute bronchiolitis
35
3.54
21
4.62
14
2.63
Abdominal and pelvic pain
34
3.44
6
1.32
28
5.25
Acute sinusitis
30
3.04
16
3.52
14
2.63
Chronic sinusitis
29
2.94
9
1.98
20
3.75
Unspecified urinary incontinence
27
2.73
10
2.20
17
3.19
Fever of unknown origin
25
2.53
14
3.08
11
2.06
Late teenage (15-19 years)
Total (1822 patients)
Male (36 patients)
Female (1785 patients)
Pregnancy
1183
64.93
NA
NA
1183
66.27
Excessive, frequent, and irregular menstruation
108
5.93
NA
NA
108
6.05
Urinary tract infection
103
5.65
0
0.00
103
5.77
Infection of vagina and vulva
81
4.45
NA
NA
81
4.54
Absent, scanty, and rare menstruation
80
4.39
NA
NA
80
4.48
Malaise and fatigue
29
1.59
0
0.00
29
1.62
Abdominal and pelvic pain
26
1.43
0
0.00
26
1.46
Female infertility, unspecified
23
1.26
NA
NA
23
1.29
Urethritis and urethral syndrome
22
1.21
0
0.00
22
1.23
Abortion: spontaneous
16
0.88
NA
NA
16
0.90
Other abnormal uterine and vaginal bleeding
14
0.77
NA
NA
14
0.78
Dorsalgia
14
0.77
0
0.00
14
0.78
Delayed menses
13
0.71
NA
NA
13
0.73
Dysmenorrhea, unspecified
11
0.60
NA
NA
11
0.62
Unspecified ovarian cysts
11
0.60
NA
NA
11
0.62
[Figure 3 ] summarizes the frequency and distribution of diagnoses classified by category.
Figure 3: Frequency and distribution of diagnoses classified by category among different
age groups. Values represent percentage among each age category
A more comprehensive report about the incidence of all diseases is available in the
[online Supplementary Table 2].
Acute diarrhea
We reported 1192 (17%) cases of acute diarrhea among all age groups, which make this
disease the second most common illness after URTI. It was more common in boys (652
[55%]) than in girls (540 [45%]) (P = 0.008). The most frequent age groups were infants (694 [58%]) and toddlers (358
[30%]), followed by childhood (68 [6%]), early teenage (37 [3%]), neonates (30 [3%]),
and then late teenage (5 [0.4%]). Acute diarrhea was far more common in people who
lived in the IDP camps (58% of all cases) compared to town residents (42%), (P ≤ 0.001). Acute watery diarrhea, including cases of suspected cholera, represented
307 (25.7%) cases; however, none could be confirmed with existing resources.
Malnutrition disorders
We identified 978 (8%) cases of malnutrition among all age groups, which make it the
sixth most common disease in the cohort. No sex predominance was observed, with 500
(51%) girls and 478 (49%) boys. The most common age group was infants (726 [74%])
followed by toddlers (178 [18%]), neonates (30 [3%]), childhood (28 [3%]), early teenage
(13 [1%]), and late teenage (3 [0.3%]) cases. It was significantly more common in
people who lived in the IDP camps (66% of all cases) than in town residents (33%)
(P ≤ 0.001).
SAM defined by anthropometric measurements, as described in the “Methods” section,
was reported in 131 of 978 (13.4%) patients. Most were girls (80 [61%]) with 51 (39%)
boys (P = 0.05). Infants were the most commonly affected group with 92 (70%) cases, followed
by toddlers (34 [26%] cases), neonates (2 cases), childhood (2 cases), and 1 early
teenage child. SAM was by far more common in people who lived in the IDP camp versus
town residents (76% vs. 24%, P ≤ 0.001). The incidence of SAM peaked in summer associated
with the peak of acute diarrheal diseases.
Vitamin D deficiency was reported in 151 patients. No sex predominance was observed,
with 72 (48%) cases in males and 79 (52%) cases in females. The most common age group
was infants with 96 (64%) cases, followed by toddlers with 50 (33%) cases, childhood
with 3 cases, and 2 cases in neonates. No condition of living was predominant, with
76 (50%) cases in patients living in the IDP camp and 75 (50%) cases in town residents.
Special conditions
Neonatal jaundice represented the most common diagnosis in the newborn age group,
accounting for 30% of their visits. It was more frequent in boys (152 [59%]) than
in girls (104 [41%]) (P = 0.02), with no significant difference between patients who lived in the IDP camp
(146 [57%]) compared to those who resided in town (110 [43%]) (P = 0.17). The patients’ median (IQRs) age at first presentation was 11 (9–19) days.
More than half (51%) of them presented between days 3 and 11. Notably, one-third of
these patients had delayed presentation at the age of 15 days and beyond.
Omphalitis was yet another common condition in the newborn age group, with an overall
incidence of 8%. We reported 36 (53%) cases in girls and 31 (46%) cases in boys; 35
(52%) patients were living in an IDP camp, whereas 32 (48%) patients were town residents;
no statistical differences were found. The mean (standard deviation [SD]) age at diagnosis
was 12 (5.4) days, with median (IQRs) of 12 (3–15) days.
Undifferentiated febrile illnesses (UFIs) were an important issue in this cohort of
patients, especially in infants (4%) and childhood (3%) age groups. We identified
344 patients (almost 3% of total cohort) who were treated for UFIs. No statistical
difference was observed in sex or living conditions. One hundred and sixty-two (47%)
patients were males and 182 (53%) patients were females. One hundred and sixty-four
(47%) patients lived in an IDP camp, whereas 180 (53%) were town residents. Their
median (IQRs) age was 1.5 years (8 month to 4.4 years). The incidence of these illnesses
peaked in July, August, and September [Figure 4 ].
Figure 4: Selected communicable diseases plotted over monthsNotice the significant
seasonal changes in incidence of the URTI and infectious diarrheal diseases. URTIs
peak in winter and infectious diarrhea peaks in summer. Spring season includes months
of March, April, and May; summer includes June, July, and August; fall includes September,
October, and November; and winter includes December, January, and February. Values
represent percentage among all patients
Vaccination-preventable diseases
- Measles, mumps, rubella, and varicella (MMRV): Collectively, we reported 57 cases
of MMRV infections, of them 37 cases were of varicella, 11 were of mumps, 8 were of
rubella, and 1 case of measles. Thirty cases were diagnosed in patients who lived
in the IDP camp and 27 cases were town residents. Toddlers age group was the most
commonly affected one with 23 cases. The mean (SD) age of presentation was 5.0 (3.3)
years, with median (min–max) of 3.3 (0.5–13) years. The incidence of MMRV illnesses
seemed to be steadily low until December 2017 when it started to increase.
- Poliomyelitis: We reported two cases of poliomyelitis, both presented with acute
flaccid paralysis. The first one was in March 2017 in a 1-year-old girl who lived
in an IDP camp. She was displaced from Deir ez-Zor district and her diagnosis was
confirmed by laboratory tests. The second patient was identified in April 2017, a
9-year-old boy who was a town resident with a known diagnosis.
- Pertussis: We reported nine cases of pertussis (eight females and one male). Four
of them were diagnosed in March, one patient in April, and four patients in May. Only
two patients lived in an IDP camp and seven were town residents. Their mean (SD) age
was 2 (2.4) years with a median (min–max) of 0.8 (0.3–8) years, and the most commonly
affected age group was the infants. The diagnosis in these cases was made based on
clinical presentation and supported by the presence of leukocytosis.
- Hepatitis A: We reported 69 cases of hepatitis A, of them, 31 cases were in females
and 38 in males. As for living conditions, 38 of these patients lived in an IDP camp
and 31 in town. Their mean (SD) age was 5.3 (3.0) years with median (min–max) of 5
(0.2–13) years. The incidence peaked in November and December 2017. The diagnosis
in these cases was made based on clinical findings and supported by the presence of
abnormal liver function tests, and occasionally, confirmed by definite virology markers.
Asthma
During the study period, asthma was diagnosed in 702 patients with 1090 acute episodes.
Of them, 452 (64%) were in boys and 250 (36%) were in girls (P ≤ 0.001). The incidence was not different according to living conditions with 361
(52%) patients living in an IDP camp and 339 (49%) patients in town, (P = 0.52). Their age group distribution was as follows: 284 (40%) infants, 228 (32%)
toddlers, 129 (18%) childhood, 52 (7%) early teenage, and 5 (0.7%) late teenage. Their
median (IQRs) age was equal to 1.2 years (1 month to 3.3 years).
Pregnancy
Gynecological/obstetrical illnesses/conditions among late teenage girls represented
89% of all their visits, and pregnancy-related encounters were 66% of the total cases.
We reported 1183 pregnancies in the adolescents who visited our center during the
study period. Of them, 750 (63%) lived in an IDP camp and 433 (37%) were residents
in town. Their mean (SD) age was 17 (1) years with median (IQRs) of 18 (17–19) years.
The largest group of patients (319 [27%]) were the 18-year-old patients, followed
by 19-year-olds (310 [26%]), 17-year-olds (266 [23%]), and 16-year-olds (169 [14%]).
However, 15-year-olds accounted for 97 (8%) cases and 14-year-olds for 22 (2%) cases.
Notably, pregnant teens who were less than 18 years old represented 48% of the total
pregnant patients in this cohort. Despite their higher absolute numbers, pregnant
IDP received less antenatal care visits than town residents (1.7 vs. 2.0 visits),
OR (95% confidence interval) = 1.5 (1.3–1.7), (p ≤ 0.001).
Effects of seasonal changes
We observed an increased incidence of diarrheal diseases and cases of UFIs during
summer and an increased incidence of URTI during winter. MMRV infections showed moderate
increase during spring and early summer with a surge during December. However, the
prevalence of other communicable diseases was stable throughout the year. [Figure 4 ] shows the incidence of selected communicable diseases plotted by time. The incidence
of lower respiratory tract infection (LRTI), acute conjunctivitis, and acute hepatitis
seems to be stable over the course of the year.
Effects of age
We observed differences in the incidence of certain diseases according to patient’s
age. For example, the incidence of conjunctivitis was highest in neonates, malnutrition
in infants, chronic anemia in toddlers, otitis media in infants and toddlers, and
URTIs in childhood [Figure 5 ].
Figure 5: Most common diseases plotted against age groupNotice how the incidence varies
among age groups. For example, otitis media is highest in infants and toddlers, and
malnutrition is highest in infants and neonates. URTI is the most common disease among
all age groups. Values represent percentage among each age category
Effects of living conditions
We observed significantly higher rates of infectious diarrhea (58% of cases), chronic
anemia (60% of cases), and malnutrition (66% of cases), especially the severe forms
(76% of cases), among patients who lived in an IDP camp as opposed to town residents
[Table 2 ].
Table 2
Incidence of different diseases among town residents versus refugees
Diseases/conditions
Total number
Residents
Refugees
P value
Frequency
Percentage
Frequency
Percentage
URTI
4139
2339
57
1796
43
<0.001
LRTI
80
43
54
37
46
0.681
Infectious diarrhea
1192
502
42
689
58
<0.001
Otitis media
1949
961
49
988
51
0.637
Conjunctivitis
210
98
47
112
53
0.481
Infectious hepatitis
70
32
46
38
54
0.660
Chronic anemia
260
104
40
156
60
0.010
Malnutrition disorders
978
329
34
649
66
<0.001
Severe acute malnutrition
131
101
77
30
23
<0.001
DISCUSSION
In 2017, according to the United Nations High Commissioner for Refugees (UNHCR), 2.8
million children were displaced in Syria of a total of 6.5 million refugees, with
48% of Syrian registered refugees under 18 years of age. The United Nations International
Children’s Emergency Fund (UNICEF) estimates that six million children still living
in Syria are in need of humanitarian assistance and 420 thousand children living in
besieged areas lack access to vital humanitarian aid. Studies have shown that IDP
and refugee children are at risk of malnutrition (including severe malnutrition and
death).[9 ],[13 ] In 2016, the WHO reported a drop in children vaccination rates in Syria to below
60% for all vaccines.[14 ] This percentage may be even lower in IDP and refugee populations as accurate data
are extremely difficult to obtain. Reports have shown increased incidence of deadly
preventable infectious diseases such as meningitis, measles, and polio.[15 ] Nonetheless, quantitative studies describing nutritional and infectious status of
this population are still lacking.
To the best of our knowledge, this is the first quantitative description dedicated
to child and adolescent health focusing on northwestern Syria in the academic literature.
In this cohort, infants have surpassed all other age groups in terms of number of
medical encounters (2.6 encounter per patient), whereas newborns and childhood age
groups have the least (1.6 encounter per patient). Adjusting for the short time span
of the neonatal period (27 days), newborn infants are the clear leading age group
in encounters burden (21.6 encounter/patient/year). The contribution of male patients
to the disease burden was higher throughout all age groups except in teenage, when
female patients’ contribution to the burden became more prominent because of pregnancy-related
issues. In the late teenage years, consultations for females outnumbered males by
50 to 1. This was mainly driven by pregnancy-related issues, making gynecologic and
obstetrical presentations rank fourth among all disease/condition categories. In 2013,
UNICEF reported that 21.7% of the Syrian population were aged 10–19 years, and that
10% of the females in this age group were married.[16 ] Assuming that this is true for the study center population, then the expected number
of married teens in this population would exceed 3000. This conservative estimate
indicates that the study cohort encounters (1183 pregnancies) represent no more than
35% of the potential burden.
The complex social and economic factors, which promote early marriage, are exacerbated
by conflict and the resultant poverty and suffering. For some families, economic drivers
and a desire to protect girls drive early marriage. However, this can have significant
impacts on the child brides, their pregnancies, and associated complications, their
newborn infants, and societal implications.
The communicable diseases, as expected, represented the major bulk of the disease
burden in this cohort. It accounted for more than half of all consultations across
all age groups, infants and toddlers were the most affected, a pattern not out of
the norm considering the conditions of living in this region. Notably, GBD 2016 study
reported the incidence of URTIs, otitis media, and diarrheal diseases among Syrian
children to peak in the first year of life.[17 ] The observed seasonal variations of these disorders were consistent with published
literature, but the incidence of some infections based on the area of residence was
relatively unfamiliar. For example, infectious diarrhea was more common in IDP camp
inhabitants, whereas URTIs were more likely among town residents. This finding may
be partially explained by the reluctance of refugees to make the “hard” journey to
the medical center for seemingly simple issues, such as URTIs, compared to more threatening
ones, such as diarrhea complicated by fever and dehydration [Figure 6 ]. However, this finding is more likely to be associated with the unsanitary living
conditions in the camp as compared to town residence, such as overcrowding, shared
toilets, contaminated water supplies, and deteriorated food quality. Other infections,
however, were encountered almost equally among these two groups.{Figure 6}
Figure 6: (A) and (B) Selected pictures from the refugee camp where people live in
poorly made tents, during Winter 2017, they give an idea how bad the sanitation is
and how challenging transportation is
The IDP predominance was again observed for most of the vaccination-preventable illnesses.
Pertussis infection, however, revealed a predilection toward town residents (seven
of nine), which was reminiscent of URTIs distribution noted earlier. Of note was the
case of the 9-year-old boy diagnosed with poliomyelitis. He had no verifiable records
of his vaccination status, nonetheless, he would be expected to have full vaccination
against poliomyelitis before 2011, raising the suspicion of a possible underlying
immunodeficiency disorder or vaccine failure because of unidentified reason. Notably,
WHO and UNICEF reported that vaccination rates among Syrian children have deteriorated
remarkably over the past 7 years.[14 ] For example, in 2017, only 30% of infants had completed all three doses of poliomyelitis
or diphtheria, tetanus, and pertussis vaccines as opposed to 80% of infants in 2010.
However, despite this drop of vaccination rates, no cases of the wild poliovirus infection
have been reported in Syria since 1999. Indeed, all cases reported thereafter were
due to the circulating vaccine-related poliovirus type-2.[18 ] Importantly, no accurate data about the vaccination coverage in Atmeh were available
during the study period, and it was probably the case in other parts of the country
where IDP were heavily present.[19 ]
Cases of UFIs, especially in infants and young children, accounted for almost 3% of
total disease burden in this cohort, with a trend toward increased incidence in females
and town residents (53%). Their peak incidence occurred in July, August, and September,
in parallel with infectious diarrhea, suggested a possible etiological association
that should be explored. Major limitations in diagnostic capabilities of this center
are obvious, however, the impact of these limitations on UFIs rates is hard to quantify.
The nutritional deficiencies and their complications, especially iron-deficiency anemia,
were more encountered in the IDP (66%) and in infants and toddlers, with no gender
differences in incidence rates. Almost 77% of all malnourished children were less
than a year old. This could be partially attributed to the diminished quantities and
deteriorated qualities of the food supplies and reduced breast milk in stressed, malnourished
mothers. Furthermore, the high proportion of young mothers in this cohort (almost
half are less than 18 years old) and their limited access to proper education, especially
in terms of infants’ care and nutrition, make it more likely for these infants to
have reduced breastfeeding and malnutrition even in the absence of drastic food shortages.
More attention to maternal education along with other measures is needed to mitigate
the impact of malnutrition on these infants.
Cases of vitamin D and/or calcium deficiency were of special importance, they represented
18% of all nutritional deficiency cases. Anecdotally, rates of exclusive breast feeding
without proper supplementations were as high as 80% in these infants. As breast milk
is known to be a poor source of vitamin D, this probably played a significant role
in predisposing them to vitamin D deficiency and its consequences.
The cases labeled as “poisoning” were mostly in boys younger than 4 years of age.
Seemingly, many patients of this category were grouped together based on a semantic
association; thus, food poisoning cases were joined to “poisoning” because of insect
envenomation, whereas they would have been more accurately placed along cases of gastroenteritis
and other gastrointestinal conditions.
Neonatal jaundice contribution to the newborn infants’ burden of disease, especially
among boys and refugees, was remarkable; it accounted for 30% of this burden. Although
jaundice was encountered more frequently among refugee infants as opposed to town
residents, the difference was not statistically significant (P = 0.17), probably as a result of inadequate sample size. Furthermore, the fact that
one-third of these patients presented at an age of 15 days and beyond argues against
a simple “physiological jaundice” and suggests a pathological process induced, perhaps,
by deficient breastfeeding practices complicated by dehydration. Of note, a good proportion
of these infants is cared for by inexperienced young mothers. Lastly, the contribution
of other diseases, such as congenital hemoglobinopathies and hemolytic disease of
the newborn, to the development of this prolonged jaundice, is hard to quantify, nonetheless,
it should not be discounted altogether.
Cardiac illnesses were apparently underrepresented in this cohort, only 44 cases were
diagnosed. Having 59% of these conditions encountered in less than 1-year-old patients
is probably driven by the inability of our center to deliver the advanced services,
such as surgical interventions, that older patients with more complex conditions may
need. Furthermore, our data cover a period of 1 year; older patients with congenital
heart diseases are more likely to be diagnosed before the study period and mostly
would be followed in a specialized center. Similarly, a plausible explanation of less-than-expected
rate of trauma cases in this cohort is the presence of other centers in the vicinity
with trauma as their primary focus of care. Thus, it would be unwise to estimate the
incidence of trauma in this population based on the figures we reported. The same
caution should be exercised when it comes to psychiatric illnesses; despite the stressful
conditions of these patients, which favor the development of conditions, such as depression
and anxiety disorders, the psychiatric illnesses were almost absent in this cohort;
only four cases were reported. This underrepresentation makes any estimate related
to this category of illnesses in this population far from reality.
The profound shortages of health-care workers as a result of the unsafe operational
conditions are another issue that needs to be addressed. The WHO reported 678 attacks
on health-care personnel and facilities between early 2014 and March 2018.[20 ] SEMA and other organizations reported 382 attacks in 2017, with 61 casualties and
239 seriously injured among health-care workers. This unsafe environment has led many
health-care providers, especially physicians, to flee the country. In Idlib governorate,
for example, there are 492 fully trained physicians (of them 61 pediatricians) who
serve an estimated population of more than three million. Notably, the average physician
density (physician/10,000 people) in Syria before 2011 was 14.6, which is higher than
both global (13.9) and regional (12.7) ones.[21 ] The UNICEF report issued in 2013[16 ] may clarify this further. It reports that 42% of the Syrian population is younger
than 18 years of age, thus, the pediatric population in the region of our study center
would have exceeded 210,000 people, served by only nine pediatricians (i.e., 23,500
patients per physician), a far larger number than the reported average of 1,546 patients
per pediatrician in the USA during 1990s.[22 ] This severe shortage led many centers to rely on physicians-in-training to fill
some of these gaps.
Limitations
Several limitations in our study need to be considered. First, the recent deployment
of “HealthySyriaTB” program limited the analyzed data to the year 2017 only, which
made it hard to generalize some of the findings related to the incidence/prevalence
of diseases. Second, the limited diagnostic capabilities and suboptimal training and
staffing of this facility along with many difficulties the patients face on seeking
consultation may have skewed some of the study results, such as the incidence of URTIs
or UFIs. Third, the uncertainties in terms of population totals and mix make it hard
to predict the future trends in actual needs and specific burdens. Lastly, as the
data of this study are derived from a single medical center in the northwestern Syria,
it may not reliably represent other affected areas in Syria nor the diaspora communities
in the neighboring countries.
Future directions
We are expecting to complete the implementation of “HealthySyriaTB” program in all
SEMA-affiliated centers within the upcoming year. We also have invited other organizations
to consider using this program in their affiliated centers, should this implementation
proceed as planned, the reliability and the scope of collected data will improve,
leading to a positive impact on the quality of future iterations of this study. For
the next years of the Healthy-Syria studies, we expect a better data collection and
coding that should lead to a more accurate estimation of prevalence of vaccination-preventable
diseases, malnutrition, and other communicable and chronic diseases. We are also planning
to have more centers in different areas, using the program to have a more generatable
picture. This should improve the health needs assessments for the IDP and responsiveness.
Importantly, it can inform the public health and population health measures needed
to address particular conditions in this population.
CONCLUSION
In this study, we provide a quantitative description of the burden of different diseases
and conditions among children and adolescents in northwestern Syria. We found that
infectious diseases represent the majority of the burden across all age groups, with
URTIs, infectious diarrhea, and otitis media representing almost half of all cases
in this category. There was also a high burden of nutritional deficiencies, with acute
severe malnutrition that may contribute. We identify relapse of vaccination-preventable
diseases including measles, mumps, and rubella, unsurprising given the decline in
vaccination coverage in this area and others in Syria. The majority of infectious
diarrheal diseases and malnutrition occurred in people living in IDP camps, likely
related to poor sanitation and food supply. We reported a seasonal variation in the
incidence of URTIs and infectious diarrhea and a high number of pregnancy and delivery
in adolescents.
Our findings offer some insights that could help the medical and humanitarian organizations
to better understand the scope of problems encountered and how to address the most
urgent needs of the impoverished and displaced people living in this region. On the
basis of these findings, a number of recommendations can be made around improving
sanitation and living conditions for those in the IDP camps. Improving health services
for them as well as education and public health measures (for both residents and IDP)
can support the health of children and adolescents. Our data on the nutritional status
may not represent all cases in the catchment area and may only be the more severe
cases, as such, addressing nutrition and feeding at a population level can help reduce
micro- and macronutrient deficiencies. Syria’s war has led to an exodus of its health
workers with those remaining being under increased pressure, some may not have been
able to complete their specialty training. As such, supporting them with updated courses
on conditions of particular concern, which are identified here, for example, infectious
diseases, teenage pregnancies, and malnutrition can lead to improvements in the health
of the populations.
Acknowledgement
We would like to thank Dr. Pamela D. Flood, from the department of anesthesiology,
Stanford University, for reviewing and editing this manuscript.
