Regional COVID-19 registry in Khuzestan, Iran: A study protocol and lessons learned from a pilot implementation

Zarei, Javad; Dastoorpoor, Maryam; Jamshidnezhad, Amir; Cheraghi, Maria; Sheikhtaheri, Abbas

doi:10.1016/j.imu.2021.100520

Cited by 21 publications

(20 citation statements)

References 31 publications

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“…Since the many aspects of COVID-19 were unknown at the beginning of the pandemic, there were a lot of questions about the disease in the minds of scientists and health policymakers. Therefore, the COVID-19 registry system should provide comprehensive information [ 2 ]. This study tried to fulfill that requirement.…”

Section: Discussionmentioning

confidence: 99%

“…Although nearly 16 months have passed since the COVID-19 outbreak, and the vaccination is underway in most countries [ 1 ], there is still a long way to go to control the pandemic fully [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…In Iran, at the beginning of the COVID-19 epidemic, the Ministry of Health, as the custodian of the health system, set up two information systems for reporting COVID-19 in healthcare centers. Although these two systems collect basic information about patients with COVID-19, there are problems with data quality and data adequacy to support COVID-19 research [ 2 ]. Perhaps this is why several universities of medical sciences in Iran have launched a COVID-19 registry system [ 22 – 26 ].…”

Section: Introductionmentioning

confidence: 99%

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A study to design minimum data set of COVID-19 registry system

et al. 2021

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Background From the beginning of the COVID-19 pandemic, the development of infrastructures to record, collect and report COVID-19‏ ‏data has become a fundamental necessity in the world. The disease registry system can help build an infrastructure to collect data systematically. The study aimed to design a minimum data set for the COVID-19 registry system. Methods A qualitative study to design an MDS for the COVID-19 registry system was performed in five phases at Ahvaz University of Medical Sciences in Khuzestan Province in southwestern Iran, 2020–2021. In the first phase, assessing the information requirements was performed for the COVID-19 registry system. Data elements were identified in the second phase. In the third phase, the MDS was selected, and in the four phases, the COVID-19 registry system was implemented as a pilot study to test the MDS. Finally, based on the experiences gained from the COVID-19 registry system implementation, the MDS were evaluated, and corrections were made. Results MDS of the COVID-19 registry system contains eight top groups including administrative (34 data elements), disease exposure (61 data elements), medical history and physical examination (138 data elements), findings of clinical diagnostic tests (101 data elements), disease progress and outcome of treatment (55 data elements), medical diagnosis and cause of death (12 data elements), follow-up (14 data elements), and COVID-19 vaccination (19 data elements) data, respectively. Conclusion Creating a standard and comprehensive MDS can help to design any national data dictionary for COVID-19 and improve the quality of COVID-19 data.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A study to design minimum data set of COVID-19 registry system

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“…A novel coronavirus has spread throughout China, originating from the city of Wuhan, and has caused many deaths so far [ 1 ]. It is a highly contagious virus that has spread rapidly and efficiently.…”

Section: Introductionmentioning

confidence: 99%

Association between gastrointestinal symptoms and disease severity in patients with COVID-19 in Tehran City, Iran

Lak¹,

Sheikholeslami²,

Ghorbi³

et al. 2022

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Introduction: It is important to identify the relationship between COVID-19 and gastrointestinal symptoms for health organizations in different communities.Aim: To assess the relationship between gastrointestinal symptoms and COVID-19.Material and methods: It was a cross-sectional descriptive-analytical study that was conducted on 381 patients those where admitted to Imam Hossein Hospital with a confirmed diagnosis of COVID-19 on nasopharyngeal polymerase chain reaction testing for SARS-CoV-2 from first March to end of June in Tehran city; 2020. Data was entered and analyzed by using SPSS version 22 and level of significant was consider less than 0.05.Results: Out of all the patients with COVID-19, 164 (43%) had gastrointestinal symptoms. The most symptoms of them were nausea (19.2%), vomiting (17.2%), abdominal pain (15.7%), diarrhoea (12.6%), haematomas (1%), melena (1.6%), rectal bleeding (1.6%), and constipation (1.8%), respectively. The mean D-dimer1 value was significantly different between the 2 groups with gastrointestinal symptoms and no gastrointestinal symptoms. In other words, there is a strong relationship between the variable D-dimer1, which is one of the important symptoms showing the severity of COVID-19 disease, and gastrointestinal symptoms (p < 0.0001).Conclusions: Our finding shows a statistical relationship between the level of D-dimer and gastrointestinal symptoms in patients with COVID-19. The mortality rate was higher in patients with gastrointestinal symptoms, which is an important outcome for gastroenterologists.

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“…According to the World Health Organization (WHO) report (June 06, 2021), Iran had 2,966,363 COVID-19 cases [ 15 ]. Khuzestan province, southwest of Iran, is among the regions with the highest number of COVID-19 cases [ 16 ]. Considering the importance of preventive behaviors in reducing the transmission of COVID-19, the present study aimed to explore the factors related to preventive health behaviors during the COVID-19 pandemic in Khuzestan province using the Health Belief Model (HBM).…”

Section: Introductionmentioning

confidence: 99%

Factors related to preventive COVID-19 behaviors using health belief model among general population: a cross-sectional study in Iran

et al. 2021

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Background Coronavirus disease (COVID-19) pandemic has become one of the biggest challenges to global health and economy. The present study aimed to explore the factors related to preventive health behaviors during the COVID-19 pandemic in Khuzestan Province, South of Iran, using the Health Belief Model (HBM). Methods The present cross-sectional study was conducted in the period between July 2020 and September 2020. A total of 1090 people from Khuzestan province participated in the study. The data collection method included a multistage cluster sampling method with a random selection of provincial of health centers. The questionnaire collected socio-demographic information and HBM constructs (e.g., perceived susceptibility, perceived severity, perceived benefits and barriers, cues to action, and COVID-19 preventive behaviors). Data were analyzed using ANOVA, t-test, hierarchical multiple linear regression, and SPSS version 22. Results The mean age of the participants was 35.53 ± 11.53, more than half of them were female (61.6%) and married (65.3). The results showed that 27% of the variance in the COVID-19 preventive behaviors was explained by HBM constructs. The regression analysis indicated that female gender (β = 0.11), perceived benefits (β = 0.10), perceived barriers (β = − 0.18), external cues to action (β = 0.25), and internal cues to action (β = 0.12) were significantly associated with COVID-19 preventive behaviors (p < 0.05). Conclusion Designing an educational intervention on the basis of HBM might be considered as a framework for the correction of beliefs and adherence to COVID-19 behavior. Health information campaigns need to (1) emphasize the benefits of preventive behaviors including avoiding the likelihood of getting a chronic disease and complications of the disease, (2) highlight the tips and advice to overcome the barriers (3) provide cues to action by means of showing various reminders in social media (4) focusing on adoption of COVID-19-related preventive behaviors, especially among men.

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Regional COVID-19 registry in Khuzestan, Iran: A study protocol and lessons learned from a pilot implementation

Cited by 21 publications

References 31 publications

A study to design minimum data set of COVID-19 registry system

A study to design minimum data set of COVID-19 registry system

Association between gastrointestinal symptoms and disease severity in patients with COVID-19 in Tehran City, Iran

Factors related to preventive COVID-19 behaviors using health belief model among general population: a cross-sectional study in Iran

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