Understanding patient needs and gaps in radiology reports through online discussion forum analysis

Our objective is to investigate patient needs and understand information gaps in radiology reports using patient questions that were posted on online discussion forums. We leveraged online question and answer platforms to collect questions posted by patients to understand current gaps and patient needs. We retrieved six hundred fifty-nine (659) questions using the following sites: Yahoo Answers, Reddit.com, Quora, and Wiki Answers. The questions retrieved were analyzed and the major themes and topics were identified. The questions retrieved were classified into eight major themes. The themes were related to the following topics: radiology report, safety, price, preparation, procedure, meaning, medical staff, and patient portal. Among the 659 questions, 35.50% were concerned with the radiology report. The most common question topics in the radiology report focused on patient understanding of the radiology report (62 of 234 [26.49%]), image visualization (53 of 234 [22.64%]), and report representation (46 of 234 [19.65%]). We also found that most patients were concerned about understanding the MRI report (32%; n = 143) compared with the other imaging modalities (n = 434). Using online discussion forums, we discussed major unmet patient needs and information gaps in radiology reports. These issues could be improved to enhance radiology design in the future

Fractional electro-magneto transport of blood modeled with magnetic particles in cylindrical tube without singular kernel

The electro-kinetic transport of blood flow mixed with magnetic particles in the circular channel was investigated. The flow was subjected to an external electric and uniform magnetic field. The fluid was driven by pressure gradient and perpendicular magnetic field to the flow direction. Due to the usefulness and suitability of Caputo–Fabrizio fractional order derivative without singular kernel in fluid flow modeling and mass transfer phenomena, the governing equations were modeled as Caputo–Fabrizio time fractional partial differential equations and solved for a 2 ð0; 1�. The analytical solutions for the velocities of blood flow and magnetic particles were obtained by using Laplace, finite Hankel transforms and Robotnov and Hartley’s functions, respectively. Mathematica software was used to simulate the influences of fractional parameter a, Hartmann number and Reynolds number on the velocities of blood and magnetic particles. The findings are important for controlling bio-liquids in the devices used for analysis and diagnosis in biological and medical applications

Investigating the Influence of Job Satisfaction, Job Burnout and Job Engagement on Turnover Intention Among Private Sector Employees in Saudi Arabia

This research was conducted on private sector employees in Riyadh, the capital of Saudi Arabia. A quantitative methodology was used with a survey of 336 participants to investigate the influence of job engagement, job satisfaction and job burnout on turnover intention. The results support the research hypotheses that job satisfaction and job engagement negatively influence turnover intention, job burnout has a positive influence on turnover intention, and Job Engagement has a positive influence on job Satisfaction and job burnout. Keywords: Job Satisfaction, Job Burnout, Job Engagement, Turnover Intention. DOI: 10.7176/EJBM/13-10-13 Publication date:May 31st 202

AZEBRA (Almost Zero Error Basepair-based Record Alert): A genomic clinical decision support system

The idea of the United States's Precision Medicine Initiative (PMI) was to allow providers (and patients) to leverage large amounts of information (including patient genomic data) in order to create actionable knowledge that increases patient well-being. To this end, we propose a system called AZEBRA; the acronym stands for Almost Zero Error Basepair-based Record Alerts. Zebra, in addition to being a well-known wild animal, is a common medical slang term for the clinician's fallacy of mistakenly corning to a rare and sometimes dire diagnosis (the rare zebra diagnosis) due to having missed more common causes of patient symptoms (the common horse diagnosis); conversely, patients with rare conditions would be better thought of as zebras and not horses. AZEBRA is intended to leverage the principles of genetically-enhanced precision medicine in order to alert clinicians to the presence of patients with five (four rare, one common) genetic pathologies that are ordinarily sources of unnecessary morbidity and mortality in clinical settings

Proposed Questions to Assess the Extent of Knowledge in Understanding the Radiology Report Language

Radiotherapy and diagnostic imaging play a significant role in medical care. The amount of patient participation and communication can be increased by helping patients understand radiology reports. There is insufficient information on how to measure a patient’s knowledge of a written radiology report. The goal of this study is to design a tool that will measure patient literacy of radiology reports. A radiological literacy tool was created and evaluated as part of the project. There were two groups of patients: control and intervention. A sample radiological report was provided to each group for reading. After reading the report, the groups were quizzed to see how well they understood the report. The participants answered the questions and the correlation between the understanding of the radiology report and the radiology report literacy questions was calculated. The correlations between radiology report literacy questions and radiology report understanding for the intervention and control groups were 0.522, p \u3c 0.001, and 0.536, p \u3c 0.001, respectively. Our radiology literacy tool demonstrated a good ability to measure the awareness of radiology report understanding (area under the receiver operator curve in control group (95% CI: 0.77 (0.71–0.81)) and intervention group (95% CI: 0.79 (0.74–0.84))). We successfully designed a tool that can measure the radiology literacy of patients. This tool is one of the first to measure the level of patient knowledge in the field of radiology understanding

Using cognitive fit theory to evaluate patient understanding of medical images

Patients are increasingly presented with their health data through patient portals in an attempt to engage patients in their own care. Due to the large amounts of data generated during a patient visit, the medical information when shared with patients can be overwhelming and cause anxiety due to lack of understanding. Health care organizations are attempting to improve transparency by providing patients with access to visit information. In this paper, we present our findings from a research study to evaluate patient understanding of medical images. We used cognitive fit theory to evaluate existing tools and images that are shared with patients and analyzed the relevance of such sharing. We discover that medical images need a lot of customization before they can be shared with patients. We suggest that new tools for medical imaging should be developed to fit the cognitive abilities of patients

Clinical and biochemical characteristics of people experiencing post-coronavirus disease 2019-related symptoms: A prospective follow-up investigation

BackgroundPost-acute coronavirus disease 2019 (COVID-19) syndrome, also known as long COVID, is a prolonged illness after the acute phase of COVID-19. Hospitalized patients were known to have persisting symptoms of fatigue, headache, dyspnea, and anosmia. There is a need to describe the characteristics of individuals with post-COVID-19 symptoms in comparison to the baseline characteristics.PurposeTo investigate the clinical and biochemical characteristics of people who recovered from COVID-19 after 6 months of discharge from the hospital.MethodsThis was a prospective follow-up investigation of hospitalized and discharged COVID-19 patients. Adult patients admitted to King Saud University Medical City, Riyadh, Saudi Arabia, with laboratory-confirmed COVID-19 and discharged were recruited. The baseline demographic information, comorbidities, vital signs and symptoms, laboratory parameters, COVID-19 therapy, and outcomes were collected from the medical records. Blood samples were collected for cytokines estimation. A detailed interview about signs and symptoms was undertaken during the follow-up.ResultsHalf of the followed-up people reported experiencing at least one of the COVID-19-related symptoms. The mean blood pressure was found higher in follow-up. People with the symptoms were characterized by low lymphocyte count, lower serum calcium levels, and hyperglycemia compared to people without any post-COVID-19 symptoms. Cytokines IL-8, VEGF, and MCP-1 were higher in people with the most frequent symptoms.ConclusionPeople with post-COVID-19 symptoms were characterized by lower lymphocyte count, lower serum calcium levels, and hyperglycemia compared to people without symptoms. Individuals with the most frequent post-COVID-19 symptoms had higher baseline pro-inflammatory, chemotactic, and angiogenic cytokines

Proposed Questions to Assess the Extent of Knowledge in Understanding the Radiology Report Language

Radiotherapy and diagnostic imaging play a significant role in medical care. The amount of patient participation and communication can be increased by helping patients understand radiology reports. There is insufficient information on how to measure a patient’s knowledge of a written radiology report. The goal of this study is to design a tool that will measure patient literacy of radiology reports. A radiological literacy tool was created and evaluated as part of the project. There were two groups of patients: control and intervention. A sample radiological report was provided to each group for reading. After reading the report, the groups were quizzed to see how well they understood the report. The participants answered the questions and the correlation between the understanding of the radiology report and the radiology report literacy questions was calculated. The correlations between radiology report literacy questions and radiology report understanding for the intervention and control groups were 0.522, p < 0.001, and 0.536, p < 0.001, respectively. Our radiology literacy tool demonstrated a good ability to measure the awareness of radiology report understanding (area under the receiver operator curve in control group (95% CI: 0.77 (0.71–0.81)) and intervention group (95% CI: 0.79 (0.74–0.84))). We successfully designed a tool that can measure the radiology literacy of patients. This tool is one of the first to measure the level of patient knowledge in the field of radiology understanding

Designing a Health Consumer-Friendly Radiology Report Using a Patient-Centered Approach

In this dissertation, we needed to do four studies to reach the main objective of this dissertation. The fifth goal, which is the main one, is to reach a patient-friendly radiology report that can be easily understood. Study one: Full Radiology Report through Patient Web Portal: A Literature ReviewAlarifi, M., Patrick, T., Jabour, A., Wu, M., & Luo, J. (2020). Full Radiology Report through Patient Web Portal: A Literature Review. International Journal of Environmental Research and Public Health, 17(10), 3673. The aim of this study discusses the gap between the patient web portal and providing a full radiology report. A literature review was conducted to examine radiologists, physicians, and patients’ opinions and preferences of providing patients with online access radiology reports. The databases searched were Pubmed and Google Scholar and the initial search included 927 studies. After review, 47 studies were included in the study. We identified several themes, including patients’ understanding of radiology reports and radiological images, as well as the need for decreasing the turnaround time for reports availability. The existing radiology reports written for physicians are not suited for patients. Further studies are needed to guide and inform the design of patient friendly radiology reports. One of the ways that can be used to fill the gap between patients and radiology reports is using social media sites. Study two: Understanding patient needs and gaps in radiology reports through online discussion forum analysisAlarifi, M., Patrick, T., Jabour, A., Wu, M., & Luo, J. (2020). Understanding patient needs and gaps in radiology reports through online discussion forum analysis. Insights into imaging. Our objective is to investigate patient needs and understand information gaps in radiology reports using patient questions that were posted on online discussion forums. We leveraged online question and answer platforms to collect questions posted by patients to understand current gaps and patient needs. We retrieved six hundred fifty-nine (659) questions using the following sites: Yahoo Answers, Reddit.com, Quora, and Wiki Answers. The questions retrieved were analyzed and the major themes and topics were identified. The questions retrieved were classified into eight major themes. The themes were related to the following topics: radiology report, safety, price, preparation, procedure, meaning, medical staff, and patient portal. Among the 659 questions, 35.50% were concerned with the radiology report. The most common question topics in the radiology report focused on patient understanding of the radiology report (62 of 234 [26.49%]), image visualization (53 of 234 [22.64%]), and report representation (46 of 234 [19.65%]). We also found that most patients were concerned about understanding the MRI report (32%; n=143) compared with the other imaging modalities (n=434). Using online discussion forums, we discussed major unmet patient needs and information gaps in radiology reports. These issues could be improved to enhance radiology design in the future. Study three: The Development of Radiology Report Literacy Assessment Tool Diagnostic imaging and radiotherapy have become an important part of medical care. Patient understanding of radiology reports can improve their level of engagement and communication. There is little known about measuring a patient’s literacy level of a radiology report. The aim of this study is to design a tool to measure the radiology literacy of patients. We have designed and tested a radiology literacy tool. Participants were split into two groups and each group was given a radiology report sample to assess their understanding of the report. Participants also answered the radiology report literacy questions and the correlation between the understanding of the radiology report and radiology report literacy questions was calculated. The correlation between the report understanding and the radiology report literacy questions for the intervention and control groups was 0.537, P .00, and 0.517, P .00, respectively. Our radiology literacy tool had a good ability to measure the awareness of radiology (area under the receiver operator curve (95% CI: 0.72 (0.62-0.82)). We successfully designed a tool that can measure the radiology literacy of patients. This tool is considered one of the first tools that measures the level of patient knowledge in the radiology field. Study four: Health consumer social economic factors and health conditions as predictor for health literacy in radiology domain Patient literacy of radiology is imperative for patient engagement in care and management of their own health. Little is known about the factors that could predict patient literacy of radiology reports, testing, or treatment. This study aims to identify the most important factors of health consumer social economic and health conditions as a predictor of health literacy in the radiology domain. The study recruited 616 participants using Amazon.com’s Mechanical Turk (MTURK) and presented these participants with our questionnaire. We measured the level of participants’ radiology awareness, social factors, and health status. Descriptive statics including Chi-Square and multiple linear regression models were used to test if the factors could predict radiology literacy. The area under the receiver-operator curve was calculated to determine the prediction accuracy of the regression models. Multiple linear regression indicated that 15 of the 19 social-economic factors and health conditions were significantly associated with radiology literacy (P \u3c.05). On the other hand, only 12 of the 19 factors were significant by using Pearson Chi-Square (P \u3c.05). Stepwise linear regression analysis demonstrated the r squared linear of 9 out of 12 common factors. These factors are the level of education, smoking, radiology experience, insurance status, white race, employment status, disability status, gender, and income at 0.201. These nine factors had a good ability to predict radiology literacy (area under the receiver operator curve of 0.677 [95%CI 0.549; 0.804, P =0.013]). Social economic factors and health conditions can be used to successfully predict radiology literacy. We were able to successfully identify the predictive factors that have a high association with the radiology literacy tool by comparing social factors and health status versus radiology awareness. Study five: Designing a consumer-friendly radiology report using a patient-centered approach Patient portals have helped accelerate patient engagement in treatment. Patient understanding of radiology reports has become a necessity and we are working to design a patient-friendly radiology report that can be easily understood. We have based the design of this new radiology report on the results of a previous study that examined patient desires and needs by exploring their questions posted on online discussion forums. The current design was tested by presenting it in two groups, a control group, and an intervention group. In our evaluation, we relied on the following five concepts: understanding (quiz), cosmetics appearance, perceived ease of use, acceptance, and preference. The results showed that the new design outperformed the current design in all five concepts with an overall of (P \u3c .00). Based on these results, we have determined that the radiology report should include both an image and notes section and the design can be applied to all types of radiological examinations using various imaging devices. We believe this design will be an important building block in facilitating patient understanding of radiology reports

Full Radiology Report through Patient Web Portal: A Literature Review

The aim of this study discusses the gap between the patient web portal and providing a full radiology report. A literature review was conducted to examine radiologists, physicians, and patients’ opinions and preferences of providing patients with online access radiology reports. The databases searched were Pubmed and Google Scholar and the initial search included 927 studies. After review, 47 studies were included in the study. We identified several themes, including patients’ understanding of radiology reports and radiological images, as well as the need for decreasing the turnaround time for reports availability. The existing radiology reports written for physicians are not suited for patients. Further studies are needed to guide and inform the design of patient friendly radiology reports. One of the ways that can be used to fill the gap between patients and radiology reports is using social media sites