Identification of behavioural changes in reporting adverse events early during COVID-19: An ambulatory care perspective in Israel.

This study examined adverse event reporting centred on three significant dates in the months before the pandemic arrived in Israel. On these dates, broad media coverage exposed citizens and health care providers with indications about the forthcoming pandemic. The current study tracked whether parameters related to reporting adverse medical events provided early indications that a large crisis was unfolding. The method for analysing the data was based on a statistical test called Regression Discontinuity Design, which helped identify parameters related to medical reporting patterns which significantly changed. The examination indicated nurses' reports were unique in relation to others and indicated three phases: (1) upon declaration of the upcoming pandemic, there was a rise in reporting; (2) when the disease was named, there was moderation and maintenance in a steady quantity of reports, and finally, (3) when the first case arrived in Israel, a slight decrease in reporting began. Nurses' behaviours manifested as changes in reporting patterns. In this process of increase, moderation and decrease, it can be concluded that these are three stages that may characterise the beginning of a large event. The research method presented reinforces the need for forming tools by which significant events such as the COVID-19 pandemic can be identified quickly, and aid in proper planning of resources, optimise staffing and maximise utilization of the health systems.

Development of a mobile training app to assist radiographers' diagnostic assessments.

The current study reduced the time lag between performing a diagnostic assessment and identifying a critical finding in CT and MRI exams through improving radiographers' abilities to identify those critical findings. Radiographers' diagnostic assessments in CT and MRI exams were used to develop a mobile training application with the aim to improve radiographers' awareness of critical findings. The current research used data analytics to examine radiographers' interpretation of imaging studies from a privately owned medical group in Israel. During the project, the radiographers' ability to identify critical findings improved. Implementation of the mobile training program yielded positive results where the knowledge gap was reduced and time to identify critical cases was decreased. Specifically, this study showed that radiographers can be trained in ways that enhance their involvement with radiologists to provide high quality services and improve treatment Ultimately, this gives patients higher quality of care and safer treatment.

Credibility of self-reported health parameters in elderly population.

AIM: Examining the credibility of self-reported height, weight, and blood pressure by the elderly population using a tablet in a retirement residence, and examining the influence of health beliefs on the self-reporting credibility. BACKGROUND: Obesity is a major problem with rising prevalence in the western world. Hypertension is also a significant risk factor for cardiovascular diseases. Self-report, remotely from the clinic, becomes even more essential when patients are encouraged to avoid visiting the clinic as during the COVID-19 pandemic. Self-reporting of height and weight is suspected of leading to underestimation of obesity prevalence in the population; however, it has not been well studied in the elderly population.The Health Belief Model tries to predict and explain decision making of patients based on the patient's health beliefs. METHODS: Residents of a retirement home network filled a questionnaire about their health beliefs regarding hypertension and obesity and self-reported their height, weight, and blood pressure. Blood pressure, height, and weight were then measured and compared to the patients' self-reporting. FINDINGS: Ninety residents, aged 84.90 ± 5.88, filled the questionnaire. From a clinical perspective, the overall gap between the measured and the self-reported BMI (M = 1.43, SD = 2.72), which represents an absolute gap of 0.74 kilograms and 2.95 centimeters, is expected to have only a mild influence on the physician's clinical evaluation of the patient's medical condition. This can allow the physician to estimate their patient's BMI status before the medical consultation and physical examination upon the patient's self-reporting. Patients' dichotomous (normal/abnormal) self-report of their blood pressure condition was relatively credible: positive predictive value (PPV) of 77.78% for normal blood pressure (BP) and 78.57% for abnormal BP. The relatively high PPV of BP self-reporting demonstrates an option for the physician to recognize patients at risk. Regression analysis found no correlation between the anthropometric parameters and the Health Belief Model.

Extension to 'combined SNA and LDA methods to understand adverse medical events': Doctor and nurse perspectives.

BACKGROUND: Physicians and nurses are responsible for reporting medical adverse events. Each views these events through a different lens subject to their role-based perceptions and barriers. Physicians typically engage with diagnosis and treatment while nurses primarily care for patients' daily lives and mental well-being. This results in reporting and describing medical adverse events differently. OBJECTIVE: We aimed to compare adverse medical event reports generated by physicians and nurses to better understand the differences and similarities in perspective as well as the nature of adverse medical events using social network analysis (SNA) and latent Dirichlet allocation (LDA). METHODS: The current study examined data from the Maccabi Healthcare Community. Approximately 17,868 records were collected from 2000 to 2017 regarding medical adverse events. Data analysis used SNA and LDA to perform descriptive text analytics and understand underlying phenomenon. RESULTS: A significant difference in harm levels reported by physicians and nurses was discovered. Shared topic keyword lists broken down by physicians and nurses were derived. Overall, communication, lack of attention, and information transfer issues were reported in medical adverse events data. Specialized keywords, more likely to be used by a physician were determined as: repeated prescriptions, diabetes complications, and x-ray examinations. For nurses, the most common special adverse event behavior keywords were vaccine problem, certificates of fitness, death and incapacity, and abnormal dosage. CONCLUSIONS: Communication and inattentiveness appeared most frequently in medical adverse events reports regardless of whether doctors or nurses did the reporting. Findings suggest feedback and information sharing processes could be implemented as a step toward alleviating many issues. Institutional management, healthcare managers and government officials should take actions to decrease medical adverse events, many of which may be preventable.

Combined SNA and LDA methods to understand adverse medical events.

OBJECTIVE: To compare primary medical adverse event keywords from reporters (e.g. physicians and nurses) and harm level perspectives to explore the underlying behaviors of medical adverse events using social network analysis (SNA) and latent Dirichlet allocation (LDA) leading to process improvements. DESIGN: Used SNA methods to explore primary keywords used to describe the medical adverse events reported by physicians and nurses. Used LDA methods to investigate topics used for various harm levels. Combined the SNA and LDA methods to discover common shared topic keywords to better understand underlying behaviors of physicians and nurses in different harm level medical adverse events. SETTING: Maccabi Healthcare Community is the second largest healthcare organization in Israel. DATA: 17,868 medical adverse event data records collected between 2000 and 2017. METHODS: Big data analysis techniques using social network analysis (SNA) and latent Dirichlet allocation (LDA). RESULTS: Shared topic keywords used by both physicians and nurses were determined. The study revealed that communication, information transfer, and inattentiveness were the most common problems reported in the medical adverse events data. CONCLUSIONS: Communication and inattentiveness were the most common problems reported in medical adverse events regardless of healthcare professional reporting or harm levels. Findings suggested that an information-sharing and feedback mechanism should be implemented to eliminate preventable medical adverse events. Healthcare institutions managers and government officials should take targeted actions to decrease these preventable medical adverse events through quality improvement efforts.

Smoking cessation: Exploration of perceived technology-related information value.

This study describes a unique approach to information transfer affecting the perceived value of this information and related impact on smoker behavior. Data were collected via survey, sampling approximately 120 participants. An online survey tool was used for the survey creation, data collection and monitoring. Another online tool was used by participants to create short animation videos as a means of increasing their engagement with information in an experiential fashion. Study findings included that the process experienced by the test group was influential and facilitated participants' change of mind regarding enrollment in a smoking cessation workshop. This was partly attributable to the IKEA effect. The study provides evidence that a change in habits crucial to improve health and enhance positive lifestyle choices can be stimulated through active engagement with artifact creation in a technology-mediated environment.

The impact of media type on shared decision processes in third-age populations.

PURPOSE: To examine the relationship between the media, through which medical information was made available (e.g. digital versus printed), and the patients' desire to play an active part in a medical decision in an SDM or an ISDM-based process. The goal of this research was to expand knowledge concerning social and personal factors that affect and explain patients' willingness to participate in the process. METHODS: A questionnaire was distributed in this empirical study of 103 third-age participants. A theoretical model formed the basis for the study and utilized a variety of factors from technology acceptance, as well as personal and environmental influences to investigate the likelihood of subjects preferring a certain decision-making approach. The research population included men and women aged 65 or older who resided in five assisted living facilities in Israel. The sample was split randomly into 2 groups. One group used digital information and the other print. A path analysis was conducted, using Structural Equation Modelling (SEM) in AMOS SPSS, to determine the influence of the information mode of presentation on the patient's choice of the SDM or ISDM model. RESULTS: When digital media was accessible, the information's perceived usefulness (PU) led participants to choose an ISDM-based process; this was not true with printed information. When information was available online, higher self-efficacy (SE) led participants to prefer an SDM-based process. When the information was available in print, a direct positive influence was found on the participant's choice of SDM, while a direct negative influence was found on their choice of an ISDM-based process. PU was found to be affected by external peer influences, particularly when resources were made available in print. This meant that digital resources tended to be accepted at face value more readily. Cognitive absorption had a positive effect on the research variables only when the information was available digitally. The findings suggest the use of digital information may be related to cognitive functions of older adults, since the use of digital technology and information requires more cognitive effort. CONCLUSIONS: The study illustrates factors that make patients choose SDM or ISDM-based processes in third-age populations. In general, the results suggest that, even though a physician may attempt to place the patient in the center of the decision process, printed information does not empower the patient in the same way that digital resources do. This may have wider ramifications if the patient does not buy into the treatment plan is and becomes less motivated to be compliant with the treatment. Another key contribution of this research is to identify processes that reflect information assessment and adoptions, and the behaviors related to medical decision making, both as a model and as a process. This study suggests what health care professionals should expect to see as the transition to more digital information sources becomes the norm among the elderly population. Future research is needed to examine this model under different conditions, and to check for other variables and mechanisms perceived as mediators in the choice of SDM or ISDM processes.

The use of mobile technology in waiting rooms to leverage women's empowerment: A conceptual context.

This article focuses on a conceptual framework that can be applied to the use of mobile technology in the waiting room with the goal of empowering women recently diagnosed with abnormal Pap test results. It further describes trends which indicate a need for improved and timely information dissemination. Genecology practice outpatients report a predominant feeling of worry on receipt of abnormal medical test results, along with a clearly expressed wish for additional information. This research suggests that there is room for improvement in existing processes through use of mobile technology with carefully vetted materials which indicate a doctor is interested in the patient's well-being.

The ability of older adults to use customized online medical databases to improve their health-related knowledge.

INTRODUCTION: Patient compliance with medical advice and recommended treatment depends on perception of health condition, medical knowledge, attitude, and self-efficacy. This study investigated how use of customized online medical databases, intended to improve knowledge in a variety of relevant medical topics, influenced senior adults' perceptions. METHOD: Seventy-nine older adults in residence homes completed a computerized, tablet-based questionnaire, with medical scenarios and related questions. Following an intervention, control group participants answered questions without online help while an experimental group received internet links that directed them to customized, online medical databases. RESULTS: Medical knowledge and test scores among the experimental group significantly improved from pre- to post-intervention (p<0.0001) and was higher in comparison with the control group (p<0.0001). No significant change occurred in the control group. CONCLUSION: Older adults improved their knowledge in desired medical topic areas using customized online medical databases. The study demonstrated how such databases help solve health-related questions among older adult population members, and that older patients appear willing to consider technology usage in information acquisition.