Revision of Meningitis Surveillance System in Jordan during 2001 and 2014 Years
Received: 04-Aug-2015 / Accepted Date: 19-Jan-2016 / Published Date: 27-Jan-2016 DOI: 10.4172/2161-1165.1000220
Abstract
Background: Since 2002 a specific categorization of meningitis cases was initiated in Directorate of Communicable Diseases (DCD). Analyzing data reveals severe underreporting of meningitis cases from some reporting sites (up to zero), therefore it is important to conduct a study that measures sensitivity of the system (data quality, predictive value positive and representativeness).
Objective: To determine proportion of cases that fit adopted case definition (by WHO) and to determine completeness of data received by DCD from hospitals.
Methodology: The researcher adopted a case definition based on WHO criteria for suspected and probable cases and applied it to viral meningitis in order to determine what proportion of cases fits case definition. To calculate the sensitivity of the surveillance system, clinical records of all meningitis cases admitted to four major hospitals from different health sectors were reviewed during the study period and compared to reported cases to the DDC.
Results: The researcher identified and evaluated all meningitis cases in 2001 and 2014 years, 7% fit the suspected WHO case definition for viral meningitis in ages <2 years and 1.3% fit the probable. For ages ≥2 years 76% fit the suspected cases and 26.8% fit probable. The sensitivity for all types for hospital A=10%, hospital B=50%, hospital C=63% and hospital D=99%. Hospital A is the largest referral hospital in Jordan.
Conclusions: Non-standardized case definition by clinicians plagues the meningitis surveillance system. Targeted efforts to strengthen the system should be adopted by the Ministry of Health (National Clinical Guidelines, Active System Versus Passive).
Keywords: Meningitis; Sensitivity; Incidence rate; Evaluation
163870Introduction
Meningitis may be defined as an inflammatory response to infection (bacterial, viral) of the pia-arachnoid and the cerebrospinal fluid (CSF) of the sub arachnoid space. It is characterized by sudden onset of febrile illness with signs and symptoms of meningeal involvement. The incidence rate of bacterial meningitis is between 3 and 5 per 100,000 people per year in USA. The disease is even more common in developing countries. In Jordan since 1988 meningitis is reported either as non-meningococcal meningitis (which including viral, Hib meningitis and other bacterial meningitis) or meningococcal.
Based on annual report of infectious diseases at the Jordanian Ministry Of Health the incidence rate for the year 2000 for meningococcal meningitis is 0.7/100000 and IR for nonmeningococcal is 22/100000 according to the national surveillance data.
Considering that there is severe underreporting in meningitis cases, which make numbers that received by Directorate of Disease Control and Prevention (DDC) doubtful, it was important to start meningitis database in the DDC to enable the surveillance system to determine the sensitivity of the system and to distinguish different types of meningitis.
In Jordan the Expanded program of Immunization introduced MMR (2000) and H. influenza (2001) vaccines which considered the main causative agents for meningitis in children under 2 years old. A more specific categorization of non-meningococcal meningitis is initiated to identify the incidence of different types since 2001 (including viral, H. influenza meningitis and other bacterial). Considering that initiating MMR vaccine and Hib Vaccine in our national immunization program for children in the first two years of life could be the main cause for reduction in numbers of cases in nonmeningococcal meningitis in Jordan.
Regardless the possibility of severe underreporting in meningitis cases from reporting sites (hospitals), which make numbers that received by Directorate of Disease Control and Prevention (DDC) doubtful, the missing data would not affect the credibility of IR of both meningococcal and non-meningococcal meningitis in Jordan.
Objectives
• To analyze the database using descriptive epidemiology (person, time, place)
• To define a case definition of meningitis based on WHO criteria for public health surveillance
• To apply the case definition for meningitis to the MoH data in order to classify different types of meningitis (bacterial vs. viral)
• To determine the incidence of each type of meningitis in Jordan
• To evaluate the sensitivity of the meningitis surveillance system
• To identify the most common laboratory test that was used in diagnosing these cases in Jordan
Methodology
A new form for meningitis surveillance was developed in the year 2000; this form allowed 4 categories of meningitis to be reported: meningococcal, Hib meningitis, other bacterial and viral meningitis. This form is currently only used in Irbid, but it is planned to have it distributed to all directorates, so that it becomes the main reporting form for meningitis cases [1].
All case reports of meningitis obtained at DDC will be entered into an Epi Info database. These data were analyzed to describe the epidemiology of meningitis in Jordan, based on the current descriptive data [2].Next in collaboration with physicians at selected hospitals, the researcher assessed sensitivity of the current system. Hospitals will be selected to be representative of the major sectors in Jordan: e.g. the university hospital, the Basheer hospital from the public sector, the Islamic hospital from the private sector and Rahma hospital which has the majority reported cases.Review was performed for all discharge records in these selected hospitals to identify all cases of meningitis at these hospitals. Comparing these data to the national surveillance data in DDC will allow calculation of the sensitivity of the current meningitis surveillance system.
Information was collected and analyzed on demographic, clinical and laboratory characteristics, as well as outcome. Then a case definition was adopted based on WHO criteria to analyze these data to determine what proportion of cases fits this case definition, and therefore to identify the sensitivity of our surveillance data. In addition, we will be able to determine the proportion of the different types of bacterial meningitis as well as proportion of viral meningitis. Since isolation of a bacterial causative organism may not always be possible either because of partially treated meningitis or inadequate laboratory methods, we may need to adapt a case definition for bacterial vs. viral meningitis based on clinical and laboratory criteria [3].
To determine what proportion of cases is compatible with viral meningitis case definition that meets the criteria of WHO (Appendix) and can be applied to the dataset (which already has been created by records from DDC) two case definitions were applied according the age group, which was divided into under 2 years old and equal or greater than 2 years old. For children under 2 years old the viral meningitis case definition was: each case with fever and irritability or bulging fontanel considered as suspected case, if the case fit the suspected case definition and accompanied with CSF laboratory test, which unfortunately didn’t include glucose and protein of CSF, and by reviewing the WHO criteria it was acceptable to include WBC (white blood cells) and percent of lymphocytes, so the case considered as probable case. For cases that were equal or greater than 2 years old the case definition was: each case with fever and neck rigidity or headache will be considered as suspected viral meningitis and if it is accompanied with WBC <500 and predominance >50% of lymphocytes, the case will be considered as probable case [4].
Study design
Prospective cohort study was conducted from the beginning of 2001 year. Data was collected from records and received by DDC from all MOH directorates. A more developed questionnaire was used in collecting data from the directorates and data entered on Epi Info program and be analyzed.
Results
Starting analyzing data received from all directorates in the year 2014, the overall numbers of cases were 566 cases including meningococcal, Hib meningitis, and other bacterial and viral meningitis as shown in Table 1.
| Final diagnosis | 2001 | 2014 |
|---|---|---|
| Meningococcal | 22 | 2 |
| Hib meningitis | 26 | 0 |
| Other bacterial | 44 | 0 |
| Viral | 474 | 463 |
| Total | 566 | 465 |
Table 1: Number of meningitis cases in Jordan in 2001 and 2014 years.
The number of Meningitis infected patients according to 2001 and 2014 survey based on gender are shown in Table 2.
| Sex | 2001 | 2014 |
|---|---|---|
| Male | 371 | 274 |
| Female | 195 | 191 |
| Total | 566 | 465 |
Table 2: Number of meningitis cases in Jordan by sex in 2001 and 2014 years.
According to above Table 1 the majority of cases are diagnosed as viral meningitis (83.7%), other bacterial consist 7.8% of cases in 2001 and zero in 2014, Hib meningitis consist 4.6% in 2001 and zero in 2014 and meningococcal is about 3.9% in 2001 while constitutes 0.4 in 2014.
According to Table 3, it reveals that the majority of cases are less than 15 years old (96.5%).
| Age group | 2001 | 2014 |
|---|---|---|
| <2 years | 224 | 184 |
| 3-5 years | 104 | 98 |
| 6-10 y | 165 | 89 |
| 11-15 y | 53 | 31 |
| 16-20 y | 7 | 15 |
| >20 years | 13 | 53 |
| Total | 566 | 465 |
Table 3: Number of meningitis cases during January-September in Jordan in 2001 year and 2014 by age group.
Looking at Table 4 it shows that the majority of cases are from Irbid, Amman and Zarka. Analyzing data to determine which laboratory test is mostly used in meningitis, the analysis revealed that 91% had CSF culture, while 41.5% had latex test and 15% had gram stain test.
| District | 2001 | 2014 |
|---|---|---|
| Ajloon | 6 | 5 |
| Amman | 79 | 101 |
| Balka | 9 | 23 |
| Banekenana | 25 | 4 |
| Deiralla | 7 | 0 |
| East amman | 8 | 7 |
| Irbid | 296 | 228 |
| Jarash | 10 | 20 |
| Karak | 1 | 0 |
| Kura | 23 | 0 |
| Maan | 1 | 0 |
| Madaba | 3 | 5 |
| Mafrak | 6 | 3 |
| North agwar | 24 | 3 |
| North badia | 3 | 2 |
| South shona | 5 | 2 |
| Tafileh | 3 | 1 |
| Zarka | 57 | 53 |
| Total | 566 | 465 |
Table 4: Distribution of meningitis cases by districts in Jordan in 2001 and 2014 years.
Under 2 years old 7% from fit the suspected case definition based on WHO criteria, while 93.0% don’t. 1.3% only fit with the probable case definition based on WHO criteria, while 98.7% cases don’t.
For the other age category (≥2 years old) 76.0% fit with the WHO suspected case definition, while 24% don’t. 26.8% fit with WHO probable case definition, while 73.2% don’t.
According to Table 5 the sensitivity of meningitis surveillance system a visit was planned to Al-Basheer hospital, it revealed severe underreporting. By reviewing the records it was found that 160 cases of meningitis cases were entered the hospital, while the DDC received only 22 cases from the hospital.
| Positive predictive value in 2001 | |||
| Disease (number) | No disease (number) | Total (number) | |
| Test result Positive (number) | 74 (true positive) | 418 (false positive) | 492 (test positive) |
| Test result Negative (number) | 9 (false negative) | 65 (true negative) | 74 (test negative) |
| Total | 83 (disease) | 483 (non-disease) | 566 |
| Prevalence=13 Positive predictive value=74/492×100=15% Negative predictive value 65/74×100=88% |
|||
| Positive predictive value in 2014 | |||
| Disease (number) | No disease (number) | Total (number) | |
| Test result Positive (number) | 37 (true positive) | 381 (false positive) | 418 (test positive) |
| Test result Negative (number) | 4 (false negative) | 43 (true negative) | 47 (test negative) |
| Total | 41 (disease) | 424 (non-disease) | 465 |
| Prevalence=9 Positive predictive value=37/418×100=9% Negative predictive value 43/47×100=91% |
|||
Table 5: Positive predictive value for meningitis surveillance system in Jordan in 2001 and 2014.
The physician who was met in the pediatric award confirmed the underreporting and explained it by the overload of work in their award, because it considered as a referral hospital and there is no time or a specialized person to report the cases to the DDC.
The visit to the other hospital which reported the majority of cases - Rahma Hospital - revealed the accuracy in their reporting of cases and it was found that the number of cases that were reported to the DDC fit the actual number of cases that were entered and discharged from the pediatric award and also the final diagnosis fit the records in DDC.
In the university hospital also was found underreporting in meningitis cases. The number of cases that were received by DDC was 60 cases, while the actual number was more than 130 cases (50% underreporting).
According the last hospital which represent the private sector it revealed that 160 cases were the actual number of meningitis cases while only 100 cases were received by DDC which consist 63% sensitivity of the surveillance system.
Discussion
Analyzing the previous tables it is already seen that the majority number of cases is under the 15 years old (96.5 % of the whole cases), while the most cases were among males (65.6%). The majority of cases were reported from Irbid district (especially from Rahma hospital which constitutes 50.3% of cases). There is a sharp decrease in Meningitis Incidence Rate as a result of Hib and MMR vaccine introduction into the expanded immunization program.
By looking at the cases by laboratory diagnosis it revealed that most cases were diagnosed by CSF culture, while the others were diagnosed either by latex culture (41.5%) or by gram stain (15%). So the CSF culture is the most common test that used for meningitis cases.
Accordingly the basic way in diagnosing meningitis in Jordan is only the clinical picture of the patient and because children are the vulnerable group, so clinicians are more likely diagnose the majority of fever cases as meningitis, trying not to miss any serious case of meningitis, regardless the case definition. According the case definition that is applicable in the Ministry of Health (MOH) in Jordan it takes more broad approach (Appendix).
Limitations of study
• Cases were reported mainly by clinical picture
• Underreporting of meningitis cases from reporting sites
• Broad case definition adopted by clinicians for meningitis
• Viral meningitis prevalence is affected with partially treated bacterial meningitis by laboratory
• Restricted ability of laboratory to diagnose viral causative agent (no kits to perform viral tests)
• Electronic data base still in progress
Advantages of the study
• Determine the importance to adopt national clinical guideline for meningitis
• Improve diagnostic methods for meningitis, especially viral
• Set reporting data base for meningitis in Ministry of Health
Conclusions
• The severe underreporting in meningitis cases all over Jordan excluding Rahma hospital, which revealed the individual efforts in reporting cases by districts.
• The sharp decrease in incidence rate of meningitis as Hib and complicated mumps cases.
• The inability of the laboratory to diagnose the causative agent for the majority of cases, especially viral cases.
• The case definition that used by physicians according MOH criteria is very broad.
Recommendations and directions for future studies
• To adopt standardized national clinical guideline for meningitis management by Ministry of Health.
• To substitute active meningitis surveillance system instead of current passive meningitis surveillance system.
• To improve the ability of laboratories in diagnosing meningitis cases, especially viral meningitis.
• Perform cost effectiveness study to introduce meningococcal vaccine in national immunization program.
References
- (2013) Annual epidemiological report of communicable diseases, Jordan Ministry of Health, Directorate of Communicable Diseases.
- (2010) Control of Communicable Disease Manual, Center of Disease Control, USA, Atlanta.
- Chap T Le, Boen JR (1995) Health and Numbers, Basic Biostatistical Methods, Wiley-Liss,Inc. New York.
Citation: Alzein KJ (2016) Revision of Meningitis Surveillance System in Jordan during 2001 and 2014 Years. Epidemiology (sunnyvale) 6:220. DOI: 10.4172/2161-1165.1000220
Copyright: © 2016 Al-Zein KJ. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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