Person-Centred Diabetes Care: Examining Patient Empowerment and Diabetes-Specific Quality of Life in Slovenian Adults with Type 2 Diabetes.

Patient empowerment is crucial for promoting and strengthening health. We aimed to assess patient empowerment and diabetes-specific health-related quality of life (HRQoL) in adults with type 2 diabetes (T2D). A multi-centre, cross-sectional survey was conducted among adults with T2D in urban and rural primary care settings in Slovenia between April and September 2023. The survey utilised convenience sampling and included sociodemographic and clinical data, the Diabetes Empowerment Scale (DES), and the Audit of Diabetes-Dependent QoL (ADDQoL). The study included 289 people with T2D and a mean age of 67.2 years (SD 9.2). The mean overall DES score was 3.9/5 (SD 0.4). In a multivariable linear regression model, higher empowerment was significantly associated with residing in a rural region (p = 0.034), higher education (p = 0.028), and a lack of comorbid AH (p = 0.016). The median overall ADDQoL score was -1.2 (IQR [-2.5, -0.6]). The greatest negative influence of diabetes on HRQoL was observed in the domain 'Freedom to eat', followed by 'Freedom to drink', 'Leisure activities', and 'Holidays'. Despite high empowerment among adults with T2D, the condition still imposes a personal burden. Integrated primary care models should prioritise the importance of implementing targeted interventions to enhance diabetes empowerment, address comorbidities, and improve specific aspects of QoL among individuals with T2D.

The Possible Role of Anti- and Protumor-Infiltrating Lymphocytes in Pathologic Complete Response in Early Breast Cancer Patients Treated with Neoadjuvant Systemic Therapy.

The tumor microenvironment, composed of pro- and antitumor immune cells, affects cancer cell behavior. We aimed to evaluate whether tumor-infiltrating lymphocyte (TIL) density and TIL subtypes in core biopsies at the diagnosis of breast cancer patients could predict a pathologic complete response (pCR; ypT0/is ypN0) from neoadjuvant systemic therapy (NST). The TIL subtypes were determined based on the proportions of presumably antitumor (CD8+, CXCL13+) and protumor (PD-1+, FOXP3+) immune cells. A prospective, noninterventional study, including 171 participants undergoing NST, was performed. The median TIL density for the entire cohort was 10% (IQR: 3.5-23.8), and 59 (35%) patients achieved pCR. TIL density was positively associated with pCR (univariately and multivariably). In the multivariable logistic regression model, TIL density was an independent predictor of pCR (p = 0.012, OR 1.27; 95% CI 1.05-1.54) when controlled for age (p = 0.232), Ki-67 (p = 0.001), node-negative status (p = 0.024), and HER2+/triple negative vs. luminal B-like subtype (p < 0.001). In our sample, higher proportions of PD-1+ TILs and FOXP3+ TILs were associated with a higher probability of pCR but the association was not statistically significant and we could not make any conclusions on the direction of associations in the model with all four biomarkers. In the exploratory multivariable analysis, we showed that only higher CD8+ TILs were associated with pCR. In conclusion, TIL density and its subtypes are associated with pCR.

Fall Risk in Adult Family Practice Non-Attenders: A Cross-Sectional Study from Slovenia.

Introduction: Not much is known about the fall risk among the adult population of those who rarely visit doctors. We wanted to determine the prevalence of increased fall risk in a population of family practice non-attenders and the factors associated with it. Methods: We included participants from family medicine practices in this cross-sectional study. To be included in the study, the participants had to be adults living in the community (home-dwelling people) who had not visited their chosen family physician in the last five years (non-attenders). The identification of the eligible persons was done through a search of electronic medical records, which yield 2,025 non-attenders. Community nurses collected data in the participants' homes. The outcome measure was increased fall risk as assessed by the Morse fall scale: increased risk (≥25) vs. no risk. Results: The sample consisted of 1,945 patients (96.0% response rate) with a mean age of 60.4 years (range 20.5 to 99.7 years). An increased fall risk was determined in 482 or 24.8% (95% CI: [22.9, 26.8]) of the patients. The multivariate model showed a significant association of increased fall risk with higher age (p<0.001), lower systolic blood pressure (p=0.047), poor family function (p=0.016), increased risk of malnutrition (p=0.013), higher number of chronic diseases (p=0.027), higher pain intensity (p<0.001), lower self-assessment of current health (p=0.002), and higher dependence in daily activities (p<0.001). Conclusion: Non-attenders may have an increased risk of falling which depends on their health status and age. The inclusion of community nurses in primary healthcare teams could be of use not only to identify the non-attenders' health needs, but also to better manage their health, especially the factors that were identified to be associated with greater fall risk.

Expected life years compared to the general population.

For cohorts with long-term follow-up, the number of years lost due to a certain disease yields a measure with a simple and appealing interpretation. Recently, an overview of the methodology used for this goal has been published, and two measures have been proposed. In this work, we consider a third option that may be useful in settings in which the other two are inappropriate. In all three measures, the survival of the given dataset is compared to the expected survival in the general population which is calculated using external mortality tables. We thoroughly analyze the differences between the three measures, their assumptions, interpretation, and the corresponding estimators. The first measure is defined in a competing risk setting and assumes an excess hazard compared to the population, while the other two measures also allow estimation for groups that live better than the general population. In this case, the observed survival of the patients is compared to that in the population. The starting point of this comparison depends on whether the entry into the study is a hazard changing event (e.g., disease diagnosis or the age at which the inclusion criteria were met). Focusing on the newly defined life years difference measure, we study the estimation of the variance and consider the possible challenges (e.g., extrapolation) that occur in practice. We illustrate its use with a dataset of French Olympic athletes. Finally, an efficient R implementation has been developed for all three measures which make this work easily available to subsequent users.

Treatment outcomes and relative dose intensity of chemotherapy in patients with advanced Hodgkin lymphoma.

The present retrospective study was undertaken to investigate the association of relative dose intensity (RDI) with the outcome of patients with advanced stage Hodgkin lymphoma (HL) receiving ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) and escalated BEACOPP regimens (bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, prednisone). A total of 114 patients with HL treated between 2004 and 2013 were enrolled for evaluation. The association of variables with overall survival (OS) and progression-free survival (PFS) was analysed using univariate and multivariate Cox proportional hazards models. The median age of patients was 39 years, and the majority were male and had stage IV disease. A total of 54 patients received ABVD and 60 received BEACOPP chemotherapy with 24 and four deaths, respectively. Patients in the BEACOPP group were significantly younger with lower Charlson comorbidity index (CCI) and better performance status in comparison with the ABVD group, making the comparison of groups not possible. In the ABVD group, RDI was not significantly associated with OS (P=0.590) or PFS (P=0.354) in a multivariate model where age was controlled. The low number of events prevented this analysis in the BEACOPP group. The age of patients was strongly associated with both OS and PFS; all statistically significant predictors for OS and PFS from univariate analyses (chemotherapy regimen, CCI, RDI, performance status) lost their effect in multivariate analyses where age was controlled. Based on these observations, it was concluded that RDI was not associated with OS or PFS after age is controlled, neither in all patients combined nor in the ABVD group.

Implementation of Integrated Primary Care for Patients with Diabetes and Hypertension: A Case from Slovenia.

INTRODUCTION: Research on models of integrated health care for hypertension and diabetes is one of the priority issues in the world. There is a lack of knowledge about how integrated care is implemented in practice. Our study assessed its implementation in six areas: identification of patients, treatment, health education, self-management support, structured collaboration and organisation of care. METHODS: This was a mixed methods study based on a triangulation method using quantitative and qualitative data. It took place in different types of primary health care organisations, in one urban and two rural regions of Slovenia. The main instrument for data collection was the Integrated Care Package (ICP) Grid, assessed through four methods: 1) a document analysis (of a current health policy and available protocols; 2) observation of the infrastructure of health centres, organisation of work, patient flow, interaction of patients with health professionals; 3) interview with key informants and 4) review of medical documentation of selected patients. RESULTS: The implementation of the integrated care in Slovenia was assessed with the overall ICP score of 3.7 points (out of 5 possible points). The element Identification was almost fully implemented, while the element Self-management support was weakly implemented. DISCUSSION: The implementation of the integrated care of patients with diabetes and/or hypertension in Slovenian primary health care organisations achieved high levels of implementation. However, some week points were identified. CONCLUSION: Integrated care of the chronic patients in Slovenia is already provided at high levels, but the area of self-management support could be improved.

COVID-19 in Slovenia, from a Success Story to Disaster: What Lessons Can Be Learned?

During the first wave of the COVID-19 pandemic in spring 2020, Slovenia was among the least affected countries, but the situation became drastically worse during the second wave in autumn 2020 with high numbers of deaths per number of inhabitants, ranking Slovenia among the most affected countries. This was true even though strict non-pharmaceutical interventions (NPIs) to control the progression of the epidemic were being enforced. Using a semi-parametric Bayesian model developed for the purpose of this study, we explore if and how the changes in mobility, their timing and the activation of contact tracing can explain the differences in the epidemic progression of the two waves. To fit the model, we use data on daily numbers of deaths, patients in hospitals, intensive care units, etc., and allow transmission intensity to be affected by contact tracing and mobility (data obtained from Google Mobility Reports). Our results imply that though there is some heterogeneity not explained by mobility levels and contact tracing, implementing interventions at a similar stage as in the first wave would keep the death toll and the health system burden low in the second wave as well. On the other hand, sticking to the same timeline of interventions as observed in the second wave and focusing on enforcing a higher decrease in mobility would not be as beneficial. According to our model, the 'dance' strategy, i.e., first allowing the numbers to rise and then implementing strict interventions to make them drop again, has been played at too-late stages of the epidemic. In contrast, a 15-20% reduction of mobility compared to pre-COVID level, if started at the beginning and maintained for the entire duration of the second wave and coupled with contact tracing, could suffice to control the epidemic. A very important factor in this result is the presence of contact tracing; without it, the reduction in mobility needs to be substantially larger. The flexibility of our proposed model allows similar analyses to be conducted for other regions even with slightly different data sources for the progression of the epidemic; the extension to more than two waves is straightforward. The model could help policymakers worldwide to make better decisions in terms of the timing and severity of the adopted NPIs.

Factors that determine dependence in daily activities: A cross-sectional study of family practice non-attenders from Slovenia.

BACKGROUND: Independence in daily activities is defined as the ability to perform functions related to daily living, i.e. the capacity of living independently in the community with little or no help from others. OBJECTIVE: We focused on non-attenders as a subgroup of patients whose health status is not well known to family practice teams. Our goal was to estimate the prevalence of dependence and its severity level in the daily activities of patients, and to determine the factors that are associated with the occurrence of dependence. DESIGN: Cross-sectional observational study. SETTINGS AND PARTICIPANTS: Data was obtained in family medicine settings. Participants in the study were adults living in the community (aged 18 or over) who had not visited their chosen family physician in the last 5 years (non-attenders) and who were able to participate in the study. Through the electronic system, we identified 2,025 non-attenders. Community nurses collected data in the participants' homes. The outcome measure was dependence in daily activities, assessed through eight items: personal hygiene; eating and drinking; mobility; dressing and undressing; urination and defecation; continence; avoiding hazards in the environment; and communication. RESULTS: The final sample consisted of 1,999 patients (98.7% response rate). The mean age was 59.9 (range 20 to 99). Dependence in daily activities was determined in 466 or 23.3% (95% CI: [21.5, 25.2]) of the patients. Older patients (over 60 years), with at least one chronic disease, increased risk of falling, moderate feelings of loneliness and a lower self-assessment of health were statistically significantly more likely to be dependent in their daily activities, according to our multivariate model. CONCLUSIONS: A considerable proportion of family practice non-attenders were found to be dependent in daily activities, though at a low level. We identified several factors associated with this dependence. This could help to identify people at risk of being dependent in daily activities in the general adult population, and enable specific interventions that would improve their health status.

Effectiveness of the Use of Augmented Reality in Teaching the Management of Anaphylactic Shock at the Primary Care Level: Protocol for a Randomized Controlled Trial.

BACKGROUND: Augmented reality (AR) has benefits and feasibility in emergency medicine, especially in the clinical care of patients, in operating rooms and inpatient facilities, and in the education and training of emergency care providers, but current research on this topic is sparse. OBJECTIVE: The primary objective is to evaluate the short-term and long-term effectiveness of the use of AR in the treatment of patients with anaphylactic shock. The secondary objectives are to evaluate the safety in the treatment of patients with anaphylactic shock, evaluate the short-term and long-term effectiveness of stress management in this process, and determine the experiences and attitudes towards the use of AR in education. METHODS: The study will be conducted in 3 phases. In the first phase, we will develop and test the scenario for simulation of anaphylactic shock and the evaluation scale for assessing the effect of the intervention. In the second phase, a single-blinded, randomized controlled trial will be conducted. In the third phase, the use of AR in teaching the management of anaphylactic shock using focus groups will be evaluated qualitatively. All participants will participate in a 1-day training program consisting of a lecture on emergency care and anaphylactic shock as well as exercises in manual dexterity (aspiration, airway management, alternative airway management, artificial respiration, chest compressions, safe defibrillation, oxygen application, use of medication during emergency care). The test group will also focus on education about anaphylactic shock in AR (the intervention). The main outcome will be the evaluation of the participants' performance in coping with a simulated scenario of anaphylactic shock using a high-fidelity simulator (simulator with high levels of realism) and a standardized patient in an educational and clinical environment. The study will be conducted with primary care physicians. RESULTS: A scenario for the simulation with a high-fidelity simulator and standardized patient has already been developed. For the time being, we are developing an evaluation scale and starting to recruit participants. We plan to complete the recruitment of participants by the end of December 2020, start the randomized controlled trial in January 2021, and finish 1 year later. The first results are expected to be submitted for publication in 2021. CONCLUSIONS: This will be the first study to evaluate the effectiveness of the use of AR in medical teaching. Specifically, it will be based on a clinical case of anaphylactic shock at the primary care level. With our study, we also want to evaluate the translation of these educational results into clinical practice and assess their long-term impact. TRIAL REGISTRATION: ISRCTN Registry ISRCTN58047410; http://www.isrctn.com/ISRCTN58047410. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/22460.

Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data.

In the paper, we propose a semiparametric framework for modeling the COVID-19 pandemic. The stochastic part of the framework is based on Bayesian inference. The model is informed by the actual COVID-19 data and the current epidemiological findings about the disease. The framework combines many available data sources (number of positive cases, number of patients in hospitals and in intensive care, etc.) to make outputs as accurate as possible and incorporates the times of non-pharmaceutical governmental interventions which were adopted worldwide to slow-down the pandemic. The model estimates the reproduction number of SARS-CoV-2, the number of infected individuals and the number of patients in different disease progression states in time. It can be used for estimating current infection fatality rate, proportion of individuals not detected and short term forecasting of important indicators for monitoring the state of the healthcare system. With the prediction of the number of patients in hospitals and intensive care units, policy makers could make data driven decisions to potentially avoid overloading the capacities of the healthcare system. The model is applied to Slovene COVID-19 data showing the effectiveness of the adopted interventions for controlling the epidemic by reducing the reproduction number of SARS-CoV-2. It is estimated that the proportion of infected people in Slovenia was among the lowest in Europe (0.350%, 90% CI [0.245-0.573]%), that infection fatality rate in Slovenia until the end of first wave was 1.56% (90% CI [0.94-2.21]%) and the proportion of unidentified cases was 88% (90% CI [83-93]%). The proposed framework can be extended to more countries/regions, thus allowing for comparison between them. One such modification is exhibited on data for Slovene hospitals.

Mobile App for Symptom Management and Associated Quality of Life During Systemic Treatment in Early Stage Breast Cancer: Nonrandomized Controlled Prospective Cohort Study.

BACKGROUND: Providing patients with cancer who are undergoing systemic therapy with useful information about symptom management is essential to prevent unnecessary deterioration of quality of life. OBJECTIVE: The aim was to evaluate whether use of an app for symptom management was associated with any change in patient quality of life or use of health resources. METHODS: Outpatients with early stage breast cancer receiving systemic therapy were recruited at the Institute of Oncology in Ljubljana, Slovenia. Patients who received systemic therapy between December 2017 and March 2018 (control group) and between April 2018 and September 2018 (intervention group) were eligible. All patients received standard care, but only those in the intervention group were asked to use mPRO Mamma, an Android-based smartphone app, in addition. The app supported daily tracking of 50 symptoms, allowed users to grade their symptom severity (as mild, moderate, or severe), and also provided in-depth descriptions and recommendations based on reported symptom level. Patient-reported outcomes in both groups were assessed through the European Organisation for Research and Treatment of Cancer (EORTC) core (C-30) and breast cancer (BR-23) questionnaires, as well as a questionnaire about health resources use. The primary outcomes were the difference in the global quality of life between groups and the difference in summary score of the EORTC C-30 questionnaire between groups after 3 time periods (the first week of treatment, the first treatment cycle, and the entire treatment). The secondary outcome was the use of health resources (doctor visits and hospitalizations) in each time period. Other scales were used for exploratory analysis. RESULTS: The mean difference between the intervention group (n=46) and the control group (n=45) in global quality of life (adjusted for baseline and type of surgery) after the first week was 10.1 (95% CI 1.8 to 18.5, P=.02). The intervention group summary scores were significantly higher than those of the control group after the first week (adjusted mean difference: 8.9, 95% CI 3.1 to 14.7, P=.003) and at the end of treatment (adjusted mean difference: 10.6, 95% CI 3.9 to 17.3, P=.002). Use of health resources was not statistically significant between the groups in either the first week (P=.12) or the first treatment cycle (P=.13). Exploratory analysis findings demonstrated clinically important improvements (indicated by EORTC C-30 or BR-23 scale scores)-social, physical, role, and cognitive function were improved while pain, appetite loss, and systemic therapy side effects were reduced. CONCLUSIONS: Use of the app enabled patients undergoing systemic therapy for early stage breast cancer to better cope with symptoms which was demonstrated by a better global quality of life and summary score after the first week and by a better summary score at the end of treatment in the intervention group compared to those of the control group, but no change in the use of health resources was demonstrated.

Risk for malnutrition in family practice non-attenders living in the community: A cross-sectional study from Slovenia.

OBJECTIVES: The aim of this study was to determine the prevalence of malnutrition and the factors associated with malnutrition in a population of family practice non-attenders. This would enable us to recognize the extent of the problem and anticipate the measures needed to improve the current situation. METHODS: This was a cross-sectional observational study in a family medicine setting. Participants were adults living in the community (≥18 y of age) who had not visited their chosen family physician in the previous 5 y (non-attenders) and who were able to participate in the study. Through the electronic system, we identified 2025 non-attenders. Data were collected by community nurses in the participants' homes. The main outcome measure was the Malnutrition Universal Screening Tool. RESULTS: The sample consisted of 1641 participants (81% response rate). Increased risk for malnutrition was determined in 216 participants (13.2%; 95% confidence interval, 11.6-14.9). The multivariate model showed a significant association of increased risk for malnutrition with age and body mass index interaction (P = 0.022); number of chronic diseases (P = 0.001); poor assessment of current health (P = 0.001); a feelings of loneliness (P <0.001); and increased pain intensity (P = 0.003). CONCLUSION: A screening program at the primary health care level could help identify patients at risk for malnutrition early. This could be followed by appropriate nutrition support, which may help to reverse or halt the malnutrition trajectory and the negative outcomes associated with poor nutritional status.