ABSTRACT
BACKGROUND: All World Mental Health (WMH) Surveys apply high standards of data quality. To date, most of the published quality control (QC) procedures for these surveys were in relation to face-to-face interviews. However, owing to the social restrictions that emerged from the COVID-19 pandemic, telephone interviews are the most effective alternative for conducting complex probability-based large-scale surveys. OBJECTIVE: In this paper, we present the QC system implemented in the WMH Qatar Survey, the first WMH Survey conducted during the COVID-19 pandemic in the Middle East. The objective of the QC process was to acquire high data quality through the reduction of random errors and bias in data collection. METHODS: The QC design and procedures in this study were adapted to the telephone survey mode in response to the COVID-19 pandemic. We focus on the design of the QC indicator system and its implementation, including the investigation process, monitoring interviewers' performance during survey fielding and applying quality-informed interventions. RESULTS: The study team investigated 11,035 flags triggered during the 2 waves of the survey data collection. The most triggered flags were related to short question administration duration and multiple visits to the same survey questions or responses. Live monitoring of the interviews helped in understanding why certain duration-related flags were triggered and the interviewing patterns of the interviewers. Corrective and preventive actions were taken against interviewers' behaviors based on the investigation of triggered flags per interviewer and live call monitoring of interviews. Although, in most cases, the interviewers required refresher training sessions and feedback to improve their performance, several interviewers discontinued work because of low productivity and a high number of triggered flags. CONCLUSIONS: The specific QC procedures implemented in the course of the WMH Qatar Survey were essential for successfully meeting the target number of interviews (N=5000). The QC strategies and the new indicators customized for telephone interviews contributed to the flag investigation and verification process. The QC data presented in this study shed light on the rigorous methods and quality monitoring processes in the course of conducting a large-scale national survey on sensitive topics during the COVID-19 pandemic.
ABSTRACT
BACKGROUND: Prevalence trends from Arabic speaking countries on psychiatric symptoms before and after the first wave of the COVID-19 pandemic are lacking. We estimated the point prevalence and change in depression and anxiety symptoms scores in relation to sociodemographic variables following the resolution of the first wave in Qatar compared with before the pandemic. METHODS: We conducted a trend analysis using repeated nationally representative cross-sectional surveys spanning 2017, 2018, 2020/2021 and using the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) to assess depressive and anxiety symptoms. Negative binomial regression was used to model changes in these symptoms in relation sociodemographics and survey year. RESULTS: The two-week prevalence of depressive symptoms (≥10 on the PHQ-9) was 6.6% in 2017 and 6.5% in 2020/2021 (p = 0.986). The two-week prevalence of anxiety symptoms (≥10 on the GAD-7) was 3.6% in 2018 and 5.1% in 2020/2021 (p = 0.062). The data for 2020/21 showed a 35.1% and 29.2% decrease in depression and anxiety symptoms scores compared to pre-pandemic years (2017/2018) after adjusting for sociodemographic factors. LIMITATIONS: Screening tools rather than structured interviews were used to assess depressive and anxiety symptoms CONCLUSIONS: The prevalence of depression and anxiety after the first COVID wave did not differ significantly to pre-pandemic estimates. The end of the first wave of the pandemic weakened the associations of these symptoms with traditional sociodemographic risk factors. The 2020/21 depression and anxiety symptoms scores remained high for Qataris and Arabs, suggesting that these cultural groups may benefit most from public mental health interventions.
