Enhancing research support services in health organizations by implementing a "Research Concierge Desk", a case study.

Health organizations with teaching and research responsibilities face the need to establish a comprehensive system that addresses the processes and challenges associated with research activities; a system that assists local institutes in becoming research-active by identifying gaps and providing actionable recommendations. The involvement of epidemiologists, biostatisticians, and data scientists is paramount in offering technical and scientific support to health researchers. In our organization, research support services, such as technical, statistical, logistical, and scientific assistance, have been provided to researchers for the past 20 years under the name of "Data Clinic Service". This article discusses the establishment of a physical booth called the "Research Concierge Desk" within a medical center to offer on-site, free-of-charge, and direct consultations to researchers, thereby improving accessibility to data clinic services. The underlying concept of the "Research Concierge Desk" is to align the research workflow for busy clinicians, who require vital assistance in the technical aspects of their research. As well, the desk and its digital platform enabled us to assess research process workflow, such as research submission, data clinic requests, research progress tracking, and researcher satisfaction assessment. We present the initiation of the "Research Concierge Desk" as an innovative solution in hospital settings, outline the available resources, benefits, challenges, and propose areas for improvement. The experience gained from implementing the "Research Concierge Desk" model can greatly benefit other health centers in adopting a similar approach to develop enhanced services for clinical researchers.

Predictors of disease severity in patients hospitalized with coronavirus disease 2019.

BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus, manifests as a respiratory illness primarily and symptoms range from asymptomatic to severe respiratory syndrome and even death. During the pandemic, due to overcrowding of medical facilities, clinical assessment to triage patients for home care or in-hospital treatment was an essential element of management. OBJECTIVES: Study the demographic features, comorbidities and bio-markers that predict severe illness and mortality from COVID-19 infection. DESIGN: Retrospective observational SETTING: Single tertiary care center PATIENTS AND METHODS: The study included all patients admitted with a positive PCR test for COVID-19 during the period from March 2020 to September 2020 (7 months). Data on demographics, clinical data and laboratory parameters was collected from medical records every 3 days during hospital stay or up until transfer to ICU. MAIN OUTCOME MEASURES: Demographic, comorbidities and biochemical features that might predict severe COVID-19 disease. SAMPLE SIZE: 372 RESULTS: Of the 372 patients, 72 (19.4%) had severe disease requiring admission to intensive care unit (ICU); 6 (1.6%) died. Individuals over 62 years were more likely to be admitted to the ICU (P=.0001, while a BMI of 40 and higher increased the odds of severe disease (P=.032). Male gender (P=.042), hypertension (P=.006) and diabetes (P=.001) conferred a statistically significant increased risk of admission to ICU, while coexisting COPD, and ischemic heart disease did not. Laboratory features related to severe COVID-19 infection were: leukocytosis (P=.015), thrombocytopenia (P=.001), high levels of C-reactive protein (P=.0001), lactic dehydrogenase (P=.0001), D-dimer (P=.0001) and ferritin (P=.001). With the multivariate analysis, diabetes, high lac-tate dehydrogenase, C-reactive protein and thrombocytopenia were associated with severity of illness. CONCLUSIONS: Particular demographic and clinical parameters may predict severe illness and need for ICU care. LIMITATIONS: Single referral center, several cases of severe COVID-19 could not be included due to lack of consent and or data. CONFLICT OF INTEREST: None.

Development of a Cardiovascular Disease Risk Prediction Model: A Preliminary Retrospective Cohort Study of a Patient Sample in Saudi Arabia.

Saudi Arabia has an alarmingly high incidence of cardiovascular disease (CVD) and its associated risk factors. To effectively assess CVD risk, it is essential to develop tailored models for diverse regions and ethnicities using local population variables. No CVD risk prediction model has been locally developed. This study aims to develop the first 10-year CVD risk prediction model for Saudi adults aged 18 to 75 years. The electronic health records of Saudi male and female patients aged 18 to 75 years, who were seen in primary care settings between 2002 and 2019, were reviewed retrospectively via the Integrated Clinical Information System (ICIS) database (from January 2002 to February 2019). The Cox regression model was used to identify the risk factors and develop the CVD risk prediction model. Overall, 451 patients were included in this study, with a mean follow-up of 12.05 years. Thirty-five (7.7%) patients developed a CVD event. The following risk factors were included: fasting blood sugar (FBS) and high-density lipoprotein cholesterol (HDL-c), heart failure, antihyperlipidemic therapy, antithrombotic therapy, and antihypertension therapy. The Bayesian information criterion (BIC) score was 314.4. This is the first prediction model developed in Saudi Arabia and the second in any Arab country after the Omani study. We assume that our CVD predication model will have the potential to be used widely after the validation study.

Institutional review boards in Saudi Arabia: the first survey-based report on their functions and operations.

BACKGROUND: Institutional review boards (IRBs) are formally designated to review, approve, and monitor biomedical research. They are responsible for ensuring that researchers comply with the ethical guidelines concerning human research participants. Given that IRBs might face different obstacles that cause delays in their processes or conflicts with investigators, this study aims to report the functions, roles, resources, and review process of IRBs in Saudi Arabia. METHOD: This was a cross-sectional self-reported survey conducted from March 2021 to March 2022. The survey was sent to 53 IRB chairpersons and the administration directors (or secretary) across the country through email after receiving verbal consent. The validated survey consisted of eight aspects: (a) organizational aspects, (b) membership and educational training, (c) submission arrangements and materials, (d) minutes, (e) review procedures, (f) communicating a decision, (g) continuing review, and (h) research ethics committee (REC) resources. A total of 200 points indicated optimal IRB functions. RESULTS: Twenty-six IRBs across Saudi Arabia responded to the survey. Overall, the IRBs in this study scored a total of 150/200 of the points on the self-assessment tool. Relatively newer IRBs (established less than ten years ago) conducted meetings at least once in a month, had annual funding, had more balanced gender representation, tended to score higher than older IRBs. The organizational aspect score was the lowest among all items in the survey (14.3 score difference, p-value < 0.01). The average turnaround time for expedited research from proposal submission to final decision was 7 days, while it was 20.5 days for the full committee review. CONCLUSION: Saudi IRBs performed generally well. However, there is room for focused improvement with respect to extra resources and organizational issues that require closer evaluation and guidance from the regulatory bodies.

Vaccine hesitancy towards childhood immunizations as a predictor of mothers' intention to vaccinate their children against COVID-19 in Saudi Arabia.

BACKGROUND: Despite the success of childhood immunization in reducing vaccine-preventable diseases, vaccine hesitancy is now a global health threat to this achievement. The current COVID-19 pandemic may change the picture of vaccine hesitancy toward childhood immunizations, which could influence the mothers' intention to vaccinate their children against COVID-19. AIM: To measure the prevalence and related factors of vaccine hesitancy towards childhood immunization during the era of COVID-19 along with the prevalence of mothers' intention to vaccinate their children the future COVID-19 and its association with childhood vaccine hesitancy. METHODS: Cross sectional study was conducted among 270 Saudi mothers attending outpatient clinics at King Abdullah University Hospital (KAAUH) in Riyadh by purposive sampling technique. Data were collected from January to February 2021 using SAGE Group standardized questionnaire. RESULTS: Although most mothers strongly agree on the importance of the vaccine (79%), almost one-fourth of mothers were hesitant towards childhood immunization (24.31%). Similar percentage of mothers' intended to vaccinate their children against COVID-19 in the next 6 months was reported (24%). Vaccine hesitancy was found to be a significant predictor of mothers' intention. Mothers' education level was significantly associated with being hesitant towards childhood immunization as well as the intention to accept the future COVID-19 vaccine (p < 0.05). Main reason that was highly significantly associated with being hesitant is the concerns about the side effect (50%). CONCLUSION: The present study reported a considerable percentage of mothers who are hesitant towards childhood immunization which predicts their intension to vaccinate towards COVID19 and is associated with the level of education.