Evidence map›Paper›PMID 37018033›Full record

ArticleJMIR formative research2023

Comparative Performance Evaluation of the Public Health Surveillance Systems in 6 Gulf Cooperation Countries: Cross-sectional Study.

Nawaf Albali, Sami Almudarra, Yahya Al-Farsi, Abdullah Alarifi, Adil Al Wahaibi, Pasi Penttinen

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Molecular epidemiology of methicillin-resistantFrontiers in microbiology · 2025
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nawaf AlbaliHealth & Public Sector, Accenture Saudi Arabia, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0002-2677-7147
Sami AlmudarraGulf Center of Disease Prevention and Control, Gulf Health Council, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-6653-9592
Yahya Al-FarsiDepartment of Family Medicine and Public Health, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman.ORCID https://orcid.org/0000-0002-0302-7132
Abdullah AlarifiDepartment of Public Health, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0003-4456-074X
Adil Al WahaibiDepartment of Surveillance, Ministry of Health, Muscat, Oman.ORCID https://orcid.org/0000-0002-5052-0800
Pasi PenttinenGulf Center of Disease Prevention and Control, Gulf Health Council, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-6929-1086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluating public health surveillance systems is important to ensure that events of public health importance are appropriately monitored. Evaluation studies based on the Centers for Disease Control and Prevention (CDC) guidelines have been used to appraise surveillance systems globally. Previous evaluation studies undertaken in member countries of the Gulf Cooperation Council (GCC) were limited to specific illnesses within a single nation.

objectiveWe aimed to evaluate public health surveillance systems in GCC countries using CDC guidelines and recommend necessary improvements to enhance these systems.

methodsThe CDC guidelines were used for evaluating the surveillance systems in GCC countries. A total of 6 representatives from GCC countries were asked to rate 43 indicators across the systems' level of usefulness, simplicity, flexibility, acceptability, sensitivity, predictive value positive, representativeness, data quality, stability, and timeliness. Descriptive data analysis and univariate linear regression analysis were performed.

resultsAll surveillance systems in the GCC covered communicable diseases, and approximately two-thirds (4/6, 67%, 95% CI 29.9%-90.3%) of them covered health care-associated infections. The mean global score was 147 (SD 13.27). The United Arab Emirates scored the highest in the global score with a rating of 167 (83.5%, 95% CI 77.7%-88.0%), and Oman obtained the highest scores for usefulness, simplicity, and flexibility. Strong correlations were observed between the global score and the level of usefulness, flexibility, acceptability, representativeness, and timeliness, and a negative correlation was observed between stability and timeliness score. Disease coverage was the most substantial predictor of the GCC surveillance global score.

conclusionsGCC surveillance systems are performing optimally and have shown beneficial outcomes. GCC countries must use the lessons learned from the success of the systems of the United Arab Emirates and Oman. To maintain GCC surveillance systems so that they are viable and adaptable to future potential health risks, measures including centralized information exchange, deployment of emerging technologies, and system architecture reform are necessary.

Indexed as

disease monitoringemerging technologiesGulf Cooperation Councilperformance evaluationprogram evaluationsurveillance systems

Identifiers

PMID37018033
PMCPMC10131602

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.