ArticleInformatics in medicine unlocked2021
Regional COVID-19 registry in Khuzestan, Iran: A study protocol and lessons learned from a pilot implementation.
Article in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 31 citations in OpenAlex.
- Progress and challenges in development of minimum essential dataset for disease surveillance through a One Health lens: a scoping review.Infectious diseases of poverty · 2026Article
- Evaluating information management system in epidemic infectious diseases in Iran.Scientific reports · 2024Article
- Strongyloides stercoralis genotyping in a human population in southwestern Iran.Parasites & vectors · 2024Article
- Clinical Characteristics and Outcomes in Hospitalized Patients with COVID-19 and Cancer History: A Multicenter Cross-Sectional Study in Southwestern Iran.International journal of hematology-oncology and stem cell research · 2024Article
- Prevalence of asymptomatic strongyloidiasis co-infection in COVID-19 patients residing in endemic areas.European journal of medical research · 2023Article
- A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran.International journal of disaster risk reduction : IJDRR · 2023Article
- Article
- Relationship between health literacy and generalized anxiety disorder during the COVID-19 pandemic in Khuzestan province, Iran.Frontiers in psychology · 2023Article
- Factor affecting the activities of daily living among aging people during the COVID-19 pandemic - a structural equation modelling.Przeglad menopauzalny = Menopause review · 2022Article
- Machine Learning Models to Predict In-Hospital Mortality among Inpatients with COVID-19: Underestimation and Overestimation Bias Analysis in Subgroup Populations.Journal of healthcare engineering · 2022Article
- Relationship Between Mental Health and Death Anxiety During COVID-19 Pandemic in Dental Staff and Students: A Cross-Sectional Study.Frontiers in psychiatry · 2022Article
- Association between gastrointestinal symptoms and disease severity in patients with COVID-19 in Tehran City, Iran.Przeglad gastroenterologiczny · 2022Article
- Unemployment and COVID-19-related mortality: a historical cohort study of 50,000 COVID-19 patients in Fars, Iran.Epidemiology and health · 2022Article
- Factors related to preventive COVID-19 behaviors using health belief model among general population: a cross-sectional study in Iran.BMC public health · 2021Article
- A study to design minimum data set of COVID-19 registry system.BMC infectious diseases · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disease registry systems provide a strong information infrastructure for decision-making and research. The purpose of this study is to describe the implementation method and protocol of the COVID-19 registry in Khuzestan province, Iran. We established a steering committee and formulated the purposes of the registry. Then, based on reviewing the literature, and expert panels, the minimum data set, the data collection forms and the web-based software were developed. Data collection is done retrospectively through Hospital Information Systems, Medical Care Monitoring Center system (MCMC), Management of Communicable Disease Prevention and Control system (MCDPC) as well as, patients' records. For prospective data collection, the data collection forms are compiled with patients' medical records by the medical staff and are then entered into the registry system. We collect patients' administrative and demographic data, history and physical examinations, test and imaging results, disease progression, treatment, outcomes, and follow-ups of the confirmed and suspected inpatients and outpatients. From April 20 to December 5, 2020, the data of 4,812 confirmed cases and 7,113 suspected cases were collected from two COVID-19 referral hospitals. Based on our experience, recording information along with providing care for patients and putting patients' data registration in the medical staff's routine, structuring data, having a flexible technical team and rapid software development for multiple and continuous updates, automating data collection by connecting the registry to existing information systems and having different incentives, the registration process can be strengthened.
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.