Background: This study aims to investigate whether certain demographic factors of patients receiving home healthcare (HHC) interventions have any positive impact on mortality. Methods: the study included all patients who were enrolled in the HHC program in a referred medical complex, Jeddah, Saudi Arabia between the years 2017 and 2020 (593 patients). Results: A total of 6,548 HHC visits were received during the study period. From the total number of visits, 3592 (54.9%) HHC visits were scheduled in the year 2020 compared to 157 (2.4%) scheduled HHC visits in 2017 (p < 0.001). The most successful HHC visits were provided in 2020 compared with the year 2017 (2193 vs. 132; p < 0.001). The cancelled HHC visits were observed to be the lowest (194) in 2019. Three explanatory variables of mortality [age, having a major diagnosis (diabetes mellitus, cerebrovascular diseases, and bedridden), and having more cancelled visits] made a statistically significant contribution to the logistic regression model after controlling for other variables. Suffering from cerebrovascular diseases and/or bedridden were the strongest predictor of death in patients receiving HHC. Conclusions: During the 2020 pandemic, there was a sharp increase in HHC compared to previous years. Three significant explanatory variables of mortality [age, having a major diagnosis (diabetes mellitus, cerebrovascular diseases, and bedridden), and having more cancelled visits] were reported.

Health systems are becoming more complex, regulatory bodies are increasing their vigilance, and reimbursement practices are shifting toward value, making closing the referral loop an imperative for patient safety, regulatory oversight, and financial viability. The aim of this study was to examine the referral pattern in PHC services and whether a significant variation exists among them based on geographic accessibility to a referred hospital. This was a cross-sectional retrospective study that included all sequentially referred patients between 1 January 2019 and 30 December 2021. A pre-initiative comparison could not be performed, as previous data on the traditional referral system could not be collected. The primary outcome measures considered in this study were the referral rate, and the proportion of the documented appointment date. The healthcare facilities’ geographic locations and data of the hospital departments to which the patients were referred were also available. Between 2019 and 2021, the hospital received 52,143 referrals from the 9 designated PHC centres covering 34 districts. In the PHC centres located within the ≤13 km zone, 1 in every 14 patients were referred to the hospital, whereas 1 in every 20 patients visited PHC centres outside this zone. Since the introduction of the Ehalati e-referral system, the number of documented appointment schedules of the referred patients has improved over time by 16.1% (from 79.6% to 95.7%, p < 0.001). Ophthalmologic (17.1%) and dental services (15.4%) received the most referrals among all other specialties, whereas the referral rate for cardiology services was the lowest (2.5%). The documented appointment scheduling record of referred patients has improved significantly since the introduction of the Ehalati e-referral system. However, the results of this study indicate that the proximity of PHC centres to specialised hospitals is more likely associated with higher referral and documented appointment scheduling rates. Strategies that improve scheduling, decrease variation among clinics, and improve patient access will likely improve the closing rates of the referral loop.

<b><i>Purpose:</i></b> Excessive delays and emergency department (ED) overcrowding have become an increasingly major problem for public health worldwide. This study was to assess the key strategies adopted by an ED, at a public hospital in Jeddah, to reduce delays and streamline patient flow. <b><i>Materials and Methods:</i></b> This study was a service evaluation for a Saudi patient population of all age-groups who attended the ED of a public hospital for the period between June 2016 and July 2019. The Saudi initiative to reduce the ED visits at the King Abdullah Medical Complex hospital has started on August 7, 2018. The initiative was to apply an urgency transfer policy which outlines the procedures to follow when patients arrive to the ED where they are reviewed based on the Canadian Triage and Acuity Scale (CTAS). Patients with less-urgent conditions (category 4 and 5) are referred to a primary health-care practice (where a family medicine consultant is available). Patients with urgent conditions (category 1–3) are referred to a specialized health-care centre if the service is not currently provided. To test the effectiveness of ED initiative on reducing the overcrowd, data were categorized into before and after the initiative. The bivariate analysis χ² tests and 2 sample <i>t</i>-tests were run to explore the relationship of gender and age with dependent variable emergency. <b><i>Results:</i></b> A total of 233,998 patients were included in this study, 61.8% of them were males and the average age of ED patients were 35.5 ± 18.6 years. The majority of cases were those classified as “less urgent” (CTAS 4), which accounted for 65.4%. Number of ED visits before and after the initiative was 67 and 33%, respectively. ED waiting times after the initiative have statistically significantly decreased across all acuity levels compared to ED waiting times before the initiative. <b><i>Conclusion and Implication:</i></b> The findings suggest that the majority of patients arrive to the ED with less-urgent conditions and arrived by walking-in. The number of cases attending the ED significantly decreased following the introduction of the urgency transfer policy. Referral for less-urgent patients to primary health-care centre may be an important front-end operational strategy to relieve congestion.

Background: This study aims to investigate whether initiating a cross-hospital bed management system makes a difference in the number of admissions and bed occupancy rates at a selected hospital and how, if at all, the average length of stay is reduced in specific hospital departments. Methods: The study included all sequentially hospitalised patients between June 1, 2016, and June 30, 2019. Results: The total number of patients who were admitted to a referred medical complex between June 2016 and July 2019 was 20,749. The inpatient days after the initiative show a statistically significant increase compared to inpatient days before the initiative (137,630 vs. 72,930 days, respectively). Additionally, bed occupancy rates (BOR) after the initiative had a significant increase compared to BOR beforehand (50.5% vs. 26.6%, respectively). Following bed management program, bed turnover rates (BTR) had doubled relative to BTR before (27.7% vs. 13.8%, respectively). Inpatients were more likely to be admitted in medical wards for treatment (n= 11,976, 57.8%). The most common reasons for admissions to the medical wards of a referred medical complex were internal medicine diseases (n= 6,472) followed by diseases of the cardiovascular system (n= 3,096). However, comparing the average length of stay (LOS) before and after the initiative found no difference. Conclusion: This study’s findings suggest that the number of patients admitted to the hospital were far greater after the bed management initiative began than before it was implemented. Additionally, the increase in BOR and BTR was significant after the initiative was implemented. In contrast, even though the overall length of stay has not changed significantly since the bed management initiative began, when departments are considered separately, a statistically significant reduction in length of stay was only seen in surgical wards since the initiative began.