Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining

[EN] Background: Public health in several countries is characterized by a shortage of professionals and a lack of economic resources. Monitoring and redesigning processes can foster the success of health care institutions, enabling them to provide a quality service while simultaneously reducing costs. Process mining, a discipline that extracts knowledge from information system data to analyze operational processes, affords an opportunity to understand health care processes. Objective: Health care processes are highly flexible and multidisciplinary, and health care professionals are able to coordinate in a variety of different ways to treat a diagnosis. The aim of this work was to understand whether the ways in which professionals coordinate their work affect the clinical outcome of patients. Methods: This paper proposes a method based on the use of process mining to identify patterns of collaboration between physician, nurse, and dietitian in the treatment of patients with type 2 diabetes mellitus and to compare these patterns with the clinical evolution of the patients within the context of primary care. Clustering is used as part of the preprocessing of data to manage the variability, and then process mining is used to identify patterns that may arise. Results: The method is applied in three primary health care centers in Santiago, Chile. A total of seven collaboration patterns were identified, which differed primarily in terms of the number of disciplines present, the participation intensity of each discipline, and the referrals between disciplines. The pattern in which the three disciplines participated in the most equitable and comprehensive manner had a lower proportion of highly decompensated patients compared with those patterns in which the three disciplines participated in an unbalanced manner. Conclusions: By discovering which collaboration patterns lead to improved outcomes, health care centers can promote the most successful patterns among their professionals so as to improve the treatment of patients. Process mining techniques are useful for discovering those collaborations patterns in flexible and unstructured health care processes.This paper was partially funded by the National Commission for Scientific and Technological Research, the Formation of Advanced Human Capital Program and the National Fund for Scientific and Technological Development (CONICYT-PCHA/Doctorado Nacional/2016-21161705 and CONICYT-FONDECYT/1150365; Chile). The authors would like to thank Ancora UC primary health care centers for their help with this research. The founding sponsors had no role in the design of the study in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.Conca, T.; Saint Pierre, C.; Herskovic, V.; Sepulveda, M.; Capurro, D.; Prieto, F.; Fernández Llatas, C. (2018). Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining. JOURNAL OF MEDICAL INTERNET RESEARCH. 20(4). https://doi.org/10.2196/jmir.8884S204Chen, C.-C., Tseng, C.-H., & Cheng, S.-H. (2013). Continuity of Care, Medication Adherence, and Health Care Outcomes Among Patients With Newly Diagnosed Type 2 Diabetes. 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Environmental conflict between refugee and host communities

Much of the existing environmental security literature examines the causal linkages between environmental scarcity and violent conflict. Such research is clearly useful for exploring the causes of violence but less useful for exploring the causes of peace. This article adopts a theoretical approach to the environment-conflict nexus that considers a range of local variables that shape the ways in which actors socially construct resource use competition. The basic approach is to accept that any resource use competition can be constructed in ways that engender either cooperative solutions or unproductive forms of conflict, including violence. The local variables that shape actors’ constructions of conflicts are, therefore, viewed as the determinants of the kind of outcomes that result from a resource use conflict. This theoretical approach is developed with reference to environmental conflicts in areas hosting refugees. The variable of resource management regimes is explored in more detail, illustrated by a case study from an Ethiopian refugee camp. The article finds theoretical and empirical evidence to support the view that participatory and inclusive resource management regimes may enable communities to construct resource use conflicts in ways that help to prevent unproductive conflict. Such forms of governance can potentially be initiated in places where the state is failing to mitigate conflict through its own institutional resources. Thus, there may be an opportunity to respond to the ‘ingenuity gap’ that Homer-Dixon identifies as a key linkage between scarcity and conflict

Choice and Outcomes of Rate Control versus Rhythm Control in Elderly Patients with Atrial Fibrillation: A Report from the REPOSI Study

Background: Among rate-control or rhythm-control strategies, there is conflicting evidence as to which is the best management approach for non-valvular atrial fibrillation (AF) in elderly patients. Design: We performed an ancillary analysis from the \u2018Registro Politerapie SIMI\u2019 study, enrolling elderly inpatients from internal medicine and geriatric wards. Methods: We considered patients enrolled from 2008 to 2014 with an AF diagnosis at admission, treated with a rate-control-only or rhythm-control-only strategy. Results: Among 1114 patients, 241 (21.6%) were managed with observation only and 122 (11%) were managed with both the rate- and rhythm-control approaches. Of the remaining 751 patients, 626 (83.4%) were managed with a rate-control-only strategy and 125 (16.6%) were managed with a rhythm-control-only strategy. Rate-control-managed patients were older (p\ua0=\ua00.002), had a higher Short Blessed Test (SBT; p\ua0=\ua00.022) and a lower Barthel Index (p\ua0=\ua00.047). Polypharmacy (p\ua0=\ua00.001), heart failure (p\ua0=\ua00.005) and diabetes (p\ua0=\ua00.016) were more prevalent among these patients. Median CHA2DS2-VASc score was higher among rate-control-managed patients (p\ua0=\ua00.001). SBT [odds ratio (OR) 0.97, 95% confidence interval (CI) 0.94\u20131.00, p\ua0=\ua00.037], diabetes (OR 0.48, 95% CI 0.26\u20130.87, p\ua0=\ua00.016) and polypharmacy (OR 0.58, 95% CI 0.34\u20130.99, p\ua0=\ua00.045) were negatively associated with a rhythm-control strategy. At follow-up, no difference was found between rate- and rhythm-control strategies for cardiovascular (CV) and all-cause deaths (6.1 vs. 5.6%, p\ua0=\ua00.89; and 15.9 vs. 14.1%, p\ua0=\ua00.70, respectively). Conclusion: A rate-control strategy is the most widely used among elderly AF patients with multiple comorbidities and polypharmacy. No differences were evident in CV death and all-cause death at follow-up

Prevalence and Determinants of the Use of Lipid-Lowering Agents in a Population of Older Hospitalized Patients: the Findings from the REPOSI (REgistro POliterapie Societ\ue0 Italiana di Medicina Interna) Study

Background: Older patients are prone to multimorbidity and polypharmacy, with an inherent risk of adverse events and drug interactions. To the best of our knowledge, available information on the appropriateness of lipid-lowering treatment is extremely limited. Aim: The aim of the present study was to quantify and characterize lipid-lowering drug use in a population of complex in-hospital older patients. Methods: We analyzed data from 87 units of internal medicine or geriatric medicine in the REPOSI (Registro Politerapie della Societ\ue0 Italiana di Medicina Interna) study, with reference to the 2010 and 2012 patient cohorts. Lipid-lowering drug use was closely correlated with the clinical profiles, including multimorbidity markers and polypharmacy. Results: 2171 patients aged >65\ua0years were enrolled (1057 males, 1114 females, mean age 78.6\ua0years). The patients treated with lipid-lowering drugs amounted to 508 subjects (23.4%), with no gender difference. Atorvastatin (39.3%) and simvastatin (34.0%) were the most widely used statin drugs. Likelihood of treatment was associated with polypharmacy ( 655\ua0drugs) and with higher Cumulative Illness Rating Scale (CIRS) score. At logistic regression analysis, the presence of coronary heart disease, peripheral vascular disease, and hypertension were significantly correlated with lipid-lowering drug use, whereas age showed an inverse correlation. Diabetes was not associated with drug treatment. Conclusions: In this in-hospital cohort, the use of lipid-lowering agents was mainly driven by patients\u2019 clinical history, most notably the presence of clinically overt manifestations of atherosclerosis. Increasing age seems to be associated with lower prescription rates. This might be indicative of cautious behavior towards a potentially toxic treatment regimen

Living alone as an independent predictor of prolonged length of hospital stay and non-home discharge in older patients.

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Implementation of the Frailty Index in hospitalized older patients: Results from the REPOSI register

Background: Frailty is a state of increased vulnerability to stressors, associated to poor health outcomes. The aim of this study was to design and introduce a Frailty Index (FI; according to the age-related accumulation of deficit model) in a large cohort of hospitalized older persons, in order to benefit from its capacity to comprehensively weight the risk profile of the individual. Methods: Patients aged 65 and older enrolled in the REPOSI register from 2010 to 2016 were considered in the present analyses. Variables recorded at the hospital admission (including socio-demographic, physical, cognitive, functional and clinical factors) were used to compute the FI. The prognostic impact of the FI on in-hospital and 12-month mortality was assessed. Results: Among the 4488 patients of the REPOSI register, 3847 were considered eligible for a 34-item FI computation. The median FI in the sample was 0.27 (interquartile range 0.21\u20130.37). The FI was significantly predictive of both in-hospital (OR 1.61, 95%CI 1.38\u20131.87) and overall (HR 1.46, 95%CI 1.32\u20131.62) mortality, also after adjustment for age and sex. Conclusions: The FI confirms its strong predictive value for negative outcomes. Its implementation in cohort studies (including those conducted in the hospital setting) may provide useful information for better weighting the complexity of the older person and accordingly design personalized interventions