RESUMEN
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.
RESUMEN
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.