ArticleJMIR formative research2022
Consistency and Sensitivity Evaluation of the Saudi Arabia Mental Health Surveillance System (MHSS): Hypothesis Generation and Testing.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- COVID-19-Related Effects on the Psychological Well-Being and Resilience of Frontline Expatriate Nurses in the Kingdom of Saudi Arabia: A Qualitative Analysis.Healthcare (Basel, Switzerland) · 2025Article
- Exploring Mental Health Literacy and Its Associated Factors: A National Cross-Sectional Study in Saudi Arabia, 2023.Risk management and healthcare policy · 2024Article
- Perceptions of mental disorder causes, treatments, and prevention among the general population in Saudi Arabia.Frontiers in psychiatry · 2024Article
- Validation and psychometric testing of the Arabic version of the mental health literacy scale among the Saudi Arabian general population.International journal of mental health systems · 2023Article
- National screening for anxiety and depression in Saudi Arabia 2022.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublic health surveillance systems should be evaluated periodically, and the evaluation should include recommendations for improving the system's quality and efficiency. Each surveillance system may have a unique situation in which evaluating its quality depends on its methodology, aims, and other factors, such as the frequency of repeating the survey in the case of survey-based surveillance.
objectiveAs the consistency of the surveillance system to capture demographic data and its sensitivity to monitor the intended health-related event are important indicators of the quality of the surveillance system, the aim of this article is to evaluate the Saudi Arabia Mental Health Surveillance System (MHSS) in terms of consistency and sensitivity via the scientific hypothesis testing process.
methodsThe quality of the MHSS was assessed by examining (1) the consistency of the main demographic variables and (2) the sensitivity to changes in score between the 2 mental health screening tools used in the MHSS and between the 3 waves collected in 3 consecutive months. The assessment uses all data collected via the MHSS between May 2020 and July 2020. The first null hypothesis predicted there were differences between the distributions of the demographic variables between the 3 waves. The second predicted there were no differences between the scores of the Patient Health Questionnaire 9 (PHQ-9) and the Generalized Anxiety Disorder 7-item scale (GAD-7) between the 3 waves.
resultsIn terms of sampling variables (age, gender, and region), there were no significant differences between the 3 waves in age, using one-way ANOVA, nor in gender and region, using the chi-square test. In addition, there were no significant differences between the 3 waves in all other demographic variables, except in the income variable. However, in terms of the PHQ-9 score, the one-way ANOVA (F
conclusionsThe MHSS showed a consistent distribution of the sample demographic variables, while being sensitive to the changes in mental health scores across waves. The MHSS can generate an acceptable level of consistency and sensitivity to monitor mental health trends. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/23748.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.