Arwa Alumran

Prof. Arwa Alumran

Imam Abdulrahman bin Faisel university, Ad Dammām, Ash Sharqīyah, Saudi Arabia
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 August 2022 in Digital Health
Verified
Journal Article
Open access
NANouf Al-Kahtani
Nouf Al-Kahtani
SASumaiah Alrawiai
Sumaiah Alrawiai
BABnan Mohammed Al-Zahrani
Bnan Mohammed Al-Zahrani
RARahaf Ali Abumadini
Rahaf Ali Abumadini
AAAfnan Aljaffary
Afnan Aljaffary
AAArwa Alumran
Arwa Alumran
Background: The digital revolution has had a huge impact on healthcare around the world. Digital technology could dramatically improve the accuracy of diagnosis, treatment, health outcomes, efficiency of care, and workflow of healthcare operations. Using health information technology will bring major improvements in patient outcomes. Purpose: This study aims to measure the readiness for digital health transformation at different hospitals in the Eastern Province, Saudi Arabia in relation to Saudi Vision 2030 based on the four dimensions adopted by the Healthcare Information and Management Systems Society: person-enabled health, predictive analytics, governance and workforce, and interoperability. Methods: The study was conducted with a cross-sectional design using data collected through an online questionnaire from 10 healthcare settings, the questionnaire consists of the four digital health indicators. The survey was developed by Healthcare Information and Management Systems Society for the purpose of assessing the level of digital maturity in healthcare settings. Results: Ten healthcare facilities in the Eastern Province, both private and governmental, were included in the study. The highest total scores for digital health transformation were reported in private healthcare facilities (median score for private facilities = 77, public facilities = 71). The ‘governance and workforce’ was the most implemented dimension among the healthcare facilities in the study (median = 80), while the dimension that was least frequently implemented was predictive analytics (median score = 70). In addition, tertiary hospitals scored the least in digital transformation readiness (median = 74) compared to primary and secondary healthcare facilities in the study. Conclusion: The results of the study show that private healthcare facilities scored higher in digital health transformation indicators. These results will be useful for promoting policymakers’ understanding of the level of digital health transformation in the Eastern Province and for the creation of a strategic action plan.

23 January 2014 in BMC Public Health
Verified
Journal Article
Open access
PDF file
AAArwa Alumran
Arwa Alumran
XHXiang-Yu Hou
Xiang-Yu Hou
JSJiandong Sun
Jiandong Sun
Abdullah A YousefAbdullah A Yousef
Abdullah A Yousef
CHCameron Hurst
Cameron Hurst
Background: The overuse of antibiotics is becoming an increasing concern. Antibiotic resistance, which increases both the burden of disease, and the cost of health services, is perhaps the most profound impact of antibiotics overuse. Attempts have been made to develop instruments to measure the psychosocial constructs underlying antibiotics use, however, none of these instruments have undergone thorough psychometric validation. This study evaluates the psychometric properties of the Parental Perceptions on Antibiotics (PAPA) scales. The PAPA scales attempt to measure the factors influencing parental use of antibiotics in children. Methods: 1111 parents of children younger than 12 years old were recruited from primary schools’ parental meetings in the Eastern Province of Saudi Arabia from September 2012 to January 2013. The structure of the PAPA instrument was validated using Confirmatory Factor Analysis (CFA) with measurement model fit evaluated using the raw and scaled χ 2, Goodness of Fit Index, and Root Mean Square Error of Approximation. Results: A five-factor model was confirmed with the model showing good fit. Constructs in the model include: Knowledge and Beliefs, Behaviors, Sources of information, Adherence, and Awareness about antibiotics resistance. The instrument was shown to have good internal consistency, and good discriminant and convergent validity. Conclusion: The availability of an instrument able to measure the psychosocial factors underlying antibiotics usage allows the risk factors underlying antibiotic use and overuse to now be investigated.

13 January 2020 in Journal of Public Health
Verified
Journal Article
Open access
PDF file
AAArwa Alumran
Arwa Alumran
HAHanadi Almutawa
Hanadi Almutawa
ZAZainab Alzain
Zainab Alzain
AAArwa Althumairi
Arwa Althumairi
DKDr Nauman Khalid
Dr Nauman Khalid
Background: Saudi Arabia’s health care system has undergone major changes in recent years to enhance the quality of the services it renders to the community. This study is designed to measure the quality of health care services from the patients’ perspective and to compare the service quality of public and private hospitals in the eastern region of Saudi Arabia. Methods: The study has a quantitative cross-sectional design, with a questionnaire based on the SERVQUAL dimensional model. It was a random sample of 258 inpatients at private and public hospitals in Eastern Saudi Arabia. Results: Patients at private hospitals perceived a higher level of quality of the health care services ( t = 3.390, p < 0.01). Conclusions: Further research on the financial and leadership dimensions of health care quality will contribute to improved planning for health care services.

1 June 2012 in Journal of Infection and Public Health
Verified
Journal Article
Closed access
AAArwa Alumran
Arwa Alumran
XHXiang-Yu Hou
Xiang-Yu Hou
CHCameron Hurst
Cameron Hurst

1 February 2020 in Journal of Blood Medicine
Verified
Journal Article
Open access
PDF file
AOAmani Y Owaidah
Amani Y Owaidah
NNNoor M Naffaa
Noor M Naffaa
AAArwa Alumran
Arwa Alumran
FAFaisal M. Alzahrani
Faisal M. Alzahrani
Introduction: The understanding of blood group phenotypes in Saudi Arabia is limited to the ABO and Rh blood groups. Data for the other major blood group phenotypes in different populations have been widely studied and used as a reference for identifying antigen-negative blood in hospital blood banks. Such information is crucial for facilitating the challenging task of providing antigen-negative blood for patients with multiple antibodies. Objective: The aim of this study was to determine the frequency of the major blood group phenotypes in the Eastern region of Saudi Arabia and compare them to phenotypes in other populations. Methods: A total of 100 volunteer Saudi donors were included in this study. Red blood cells from the donors were subjected to antigen typing of the major blood group systems (Rh, Kell, Kidd, Duffy, MNS, Lewis, Lutheran, and P) using the gel microtube technique. Results: From the Rh blood group system, the e antigen was found in 97% of donors, followed by c at 86%. The Cellano (k) antigen of the Kell system was found in all donors, whereas the Kell (K) antigen was only found in 8 % of donors. The K+k- phenotype was not detected in our study. Unexpectedly, for the Duffy blood group system, the null phenotype Fy(a-b-) was found in 61% of donors. In the MNS blood group system, M+N-S+s+ was the most common phenotype at 24%. Conclusion: The frequency of blood group phenotypes in the Eastern region of Saudi Arabia differs from that in other populations because of the diverse ethnic backgrounds of those living in that region. The findings of this study can be used to establish a local donor registry to help provide antigen-negative blood for patients with unexpected antibodies or to create an in-house antibody identification panel to add to the commercial panel that would be useful for confirming antibody identification results.

1 January 2013 in Health and Quality of Life Outcomes
Verified
Journal Article
Open access
PDF file
AAArwa Alumran
Arwa Alumran
XHXiang-Yu Hou
Xiang-Yu Hou
CHCameron Hurst
Cameron Hurst
Antibiotics overuse is a global public health issue influenced by several factors, of which some are parent-related psychosocial factors that can only be measured using valid and reliable psychosocial measurement instruments. The PAPA scale was developed to measure these factors and the content validity of this instrument was assessed.