Digitalisation of information and management optimisation in Multiple Victim Incidents. Analytical study.

INTRODUCTION: Triage is a crucial tool for managing a Multiple Victim Incident (MVI). One particularly problematic issue is the communication of results to the chain of command and control. Favourable data exists to suggest that digital triage can improve some features of analogue triage. Within this context we have witnessed the emergence of the Valkyries Project, which is working to develop strategies to respond to MVIs, and especially cross-border incidents. To that end, an IT platform called "SIGRUN" has been created which distributes, in real time, all the information to optimise MVI management. A full-scale simulation, held on the Spain-Portugal border and featuring contributions from different institutions on both sides of the border, put to the test the role of information digitalisation in this type of incidents. OBJECTIVE: To evaluate the impact of the synchronous digitalisation of information on the optimal management of Multiple Victim Incidents. METHOD: Clinical evaluation study carried out on a cross-border simulation between Spain and Portugal. A Minimum Data Set (MDS) was established by means of a modified Delphi by a group of experts. The digital platform "SIGRUN" integrated all the information, relaying it in real time to the chain of command and control. Each country assigned two teams that would carry out digital and analogue triage synchronously. Analogue triage variables were gathered by observers accompanying the first responders. Digital triage times were recorded automatically. Each case was evaluated and classified simultaneously by the two participating teams, to carry out a reliability study in a real time scenario. RESULTS: The total duration of the managing of the incident in the A group of countries involved compared to the B group was 72.5 minutes as opposed to 73 minutes. The total digital assistance triage (AT) time was 37.5 seconds in the digital group, as opposed to 32 minutes in the analogue group. Total evacuation (ET) time was 28 minutes in the digital group compared with 65 minutes in the analogue group. The average differences in total times between the analogue and the digital system, both for primary and secondary evaluation, were statistically significant: p = 0.048 and p = 0.000 respectively. For the "red" category, AT obtained a sensitivity of 100%, also for ET, while with regard to AT safety it obtained a PPV of 61.54% and an NPV of 100%, and for ET it obtained a PPV of 83.33% and an NPV of 100%. For the analogue group, for AT it obtained a sensitivity of 62.50%, for ET, 70%, for AT safety it obtained a PPV of 45.45% and an NPV of 92.31%, while for ET it obtained a PPV of 70% and an NPV of 92.50%. The gap analysis obtained a Kappa index of 0.7674. CONCLUSION: The triage system using the developed digital tool demonstrated its validity compared to the analogue tool, as a result of which its use is recommended.

Utilization of Primary Healthcare Services in Patients with Multimorbidity According to Their Risk Level by Adjusted Morbidity Groups: A Cross-Sectional Study in Chamartín District (Madrid).

Patients with multimorbidity have increased and more complex healthcare needs, posing their management a challenge for healthcare systems. This study aimed to describe their primary healthcare utilization and associated factors. A population-based cross-sectional study was conducted in a Spanish basic healthcare area including all patients with chronic conditions, differentiating between having multimorbidity or not. Sociodemographic, functional, clinical and service utilization variables were analyzed, stratifying the multimorbid population by the Adjusted Morbidity Groups (AMG) risk level, sex and age. A total of 6036 patients had multimorbidity, 64.2% being low risk, 28.5% medium risk and 7.3% high risk. Their mean age was 64.1 years and 63.5% were women, having on average 3.5 chronic diseases, and 25.3% were polymedicated. Their mean primary care contacts/year was 14.9 (7.8 with family doctors and 4.4 with nurses). Factors associated with primary care utilization were age (B-coefficient [BC] = 1.15;95% Confidence Interval [CI] = 0.30-2.01), female sex (BC = 1.04; CI = 0.30-1.78), having a caregiver (BC = 8.70; CI = 6.72-10.69), complexity (B-coefficient = 0.46; CI = 0.38-0.55), high-risk (B-coefficient = 2.29; CI = 1.26-3.32), numerous chronic diseases (B-coefficient = 1.20; CI = 0.37-2.04) and polypharmacy (B-coefficient = 5.05; CI = 4.00-6.10). This study provides valuable data on the application of AMG in multimorbid patients, revealing their healthcare utilization and the need for a patient-centered approach by primary care professionals. These results could guide in improving coordination among professionals, optimizing multimorbidity management and reducing costs derived from their extensive healthcare utilization.

Use of primary and hospital care health services by chronic patients according to risk level by adjusted morbidity groups.

BACKGROUND: Patients with chronic diseases have increased needs for assistance and care. The objective of this study was to describe the characteristics and use of primary care (PC) and hospital care (HC) health services by chronic patients according to risk level based on adjusted morbidity groups (AMG) and to analyze the associated factors. METHODS: Cross-sectional descriptive observational study. Patients from a basic health area classified as chronically ill by the AMG classification system of the Madrid PC electronic medical record were included. Sociodemographic, clinical-care characteristics (classified as predisposing factors or need factors) and service utilization variables were collected. Univariate, bivariate and simple linear regression analyses were performed. RESULTS: The sample consisted of 9866 chronic patients and 8332 (84.4%) used health services. Of these service users, 63% were women, mean age was 55.7 (SD = 20.8), 439 (5.3%) were high risk, 1746 (21.2%) were medium risk, and 6041(73.4%) were low risk. A total of 8226 (98.7%) were PC users, and 4284 (51.4%) were HC users. The average number of annual contacts with PC was 13.9 (SD = 15); the average number of contacts with HC was 4.8 (SD = 6.2). Predisposing factors associated with services utilization at both care levels were: age (B coefficient [BC] = 0.03 and 0.018, 95% CI = 0.017-0.052 and 0.008-0.028, respectively, for PC and HC) and Spanish origin (BC = 0.962 and 3.396, 95% CI = 0.198-1.726 and 2.722-4.070); need factors included: palliative care (BC = 10,492 and 5047; 95% CI = 6457-14,526 and 3098-6995), high risk (BC = 4631 and 2730, 95% CI = 3022-6241 and 1.949-3.512), number of chronic diseases (BC = 1.291 and 0.222, 95% CI = 1.068-1.51 and 0.103-0.341) and neoplasms (BC = 2.989 and 4.309, 95% CI = 1.659-4.319 and 3.629-4.989). CONCLUSIONS: The characteristics and PC and HC service utilization of chronic patients were different and varied according to their AMG risk level. There was greater use of PC services than HC services, although utilization of both levels of care was high. Service use was related to predisposing factors such as age and country of origin and, above all, to need factors such as immobility, high risk, and number and type of chronic diseases that require follow-up and palliative care.

Chronic diseases in the geriatric population: morbidity and use of primary care services according to risk level.

BACKGROUND: Geriatric patients have significant morbidity and greater needs for care and assistance. The objective of this study was to describe the characteristics, morbidity, and use of services in primary care (PC) of patients with chronic diseases older than 65 years according to their risk level assigned by the adjusted morbidity groups (AMG) and to analyse the factors associated with the use of PC services. METHODS: This was a cross-sectional descriptive observational study. Patients older than 65 years from a healthcare service area, classified as chronically ill by the AMG classification system of the PC electronic medical record of the Community of Madrid, were included. Sociodemographic, clinical-care, and PC service utilization variables were collected. Univariate, bivariate and multivariate analyses were done. RESULTS: A total of 3292 chronic patients older than 65 years were identified, of whom 1628 (49.5%) were low risk, 1293 (39.3%) were medium risk and 371 (11.3%) were high risk. Their mean age was 78.1 (SD = 8.1) years and 2167 (65.8%) were women. Their mean number of chronic diseases was 3.8 (SD = 2), 89.4% had multimorbidity and 1550 (47.1%) were polymedicated. The mean number of contacts/year with PC was 19.5 (SD = 18.2) [men: 19.4 (SD = 19.8); women: 19.5 (SD = 17.4)]. The mean number of contacts/year in people over 85 years was 25.2 (SD = 19.6); in people 76-85 years old, it was 22.1 (SD = 20.3); and in people 66-75 years old, it was 14.5 (SD = 13.9). The factors associated with greater use of services were age (B coefficient [BC] = 0.3; 95%CI = 0.2-0.4), high risk level (BC = 1.9; 95%CI =0.4-3.2), weight of complexity (BC = 0.7; 95%CI = 0.5-0.8), and ≥ 4 chronic diseases (BC = 0.7; 95%CI = 0.3-1.1). CONCLUSIONS: In the geriatric population, we found a high number of patients with chronic diseases and there were three levels of risk by AMG with differences in characteristics, morbidity, and use of PC services. The greatest use of services was by patients with older age, high risk level, greater weight of complexity and ≥ 4 chronic diseases. Further research is needed to develop an intervention model more adapted to the reality of the geriatric population based on risk levels by AMG.