Chronic kidney disease and transvenous cardiac implantable electronic device infection-is there an impact on healthcare utilization, costs, disease progression, and mortality?

AIMS: Cardiac implantable electronic device (CIED) infections are a burden to hospitals and costly for healthcare systems. Chronic kidney disease (CKD) increases the risk of CIED infections, but its differential impact on healthcare utilization, costs, and outcomes is not known. METHODS AND RESULTS: This retrospective analysis used de-identified Medicare Fee-for-Service claims to identify patients implanted with a CIED from July 2016 to December 2020. Outcomes were defined as hospital days and costs within 12 months post-implant, post-infection CKD progression, and mortality. Generalized linear models were used to calculate results by CKD and infection status while controlling for other comorbidities, with differences between cohorts representing the incremental effect associated with CKD. A total of 584 543 patients had a CIED implant, of which 26% had CKD and 1.4% had a device infection. The average total days in hospital for infected patients was 23.5 days with CKD vs. 14.5 days (P < 0.001) without. The average cost of infection was $121 756 with CKD vs. $55 366 without (P < 0.001), leading to an incremental cost associated with CKD of $66 390. Infected patients with CKD were more likely to have septicaemia or severe sepsis than those without CKD (11.0 vs. 4.6%, P < 0.001). After infection, CKD patients were more likely to experience CKD progression (hazard ratio 1.26, P < 0.001) and mortality (hazard ratio 1.89, P < 0.001). CONCLUSION: Cardiac implantable electronic device infection in patients with CKD was associated with more healthcare utilization, higher cost, greater disease progression, and greater mortality compared to patients without CKD.

Towards a better uptake of home dialysis in Europe: understanding the present and looking to the future.

Use of peritoneal dialysis and home haemodialysis remains low in Europe, with the highest use in Scandinavian countries and the lowest in Eastern and Central Europe despite the advantages for people on dialysis and economic advantages for healthcare systems. This is partly due to the impact of the haemodialysis industry resulting in proliferation of haemodialysis units and nephrologist reimbursement related to use of haemodialysis. Equally important is the bias against home dialysis at both clinician and healthcare system levels. The underlying causes of this bias are discussed in relation to a mechanistic view of the human body, lack of compassion, failure to adjust dialysis provision for older age and frailty, proliferation of small dialysis centres, and complexity of decision-making and clinical care. For home dialysis to flourish, we need to foster a change in attitude to and vision of the aims of healthcare so that enabling meaningful activities of people requiring dialysis, as explored in the Standardized Outcomes in Nephrology initiative, rather than achieving biological numbers become the focus of care delivery.

Epidemiological, clinical and economic burden of alopecia areata in Spain: a real-world retrospective study. The PETALO study.

Alopecia areata (AA) is a chronic autoimmune disease that causes non-scarring hair loss. Data are lacking on the epidemiology and clinical and economic burden of AA in Spain. To estimate the prevalence and incidence of AA in Spain and describe sociodemographic and clinical characteristics, treatment patterns, healthcare resource utilization (HCRU) and associated costs. This was an observational, retrospective, descriptive study based on the Health Improvement Network (THIN®) database (Cegedim Health Data, Spain). Patients with ICD9-Code 704.01 for AA, registered between 2014 and 2021, were identified. Prevalence (%) and incidence rates per 1,000 patient-years (IR) of AA were calculated and clinical characteristics, treatment characteristics and HCRU/costs were assessed. A total of 5,488 patients with AA were identified. The point prevalence of AA in 2021 was 0.44 (95% confidence interval [CI]: 0.43-0.45) overall, 0.48 (0.47-0.49) in adults, and 0.23 (0.21-0.26) in children ≤12 years. The 2021 IR for AA in adults was 0.55 (0.51-0.60). Of 3,351 adults with AA, 53.4% were female, mean (standard deviation [SD]) age was 43.1 (14.7) years, and 41.6% experienced comorbidities. Among adults, 2.7% used systemic treatment (0.5% immunosuppressants, 2.5% oral corticosteroids, 0.3% both). Laboratory tests and health care professional visits were the principal drivers of cost, which was €821.2 (1065.6)/patient in the first year after diagnosis. The epidemiology of AA in Spain is comparable with that reported for other countries, being more prevalent among adults. There is a significant burden of comorbidities and cost for patients, with limited use of systemic treatments, suggesting an unmet treatment need in this population.

Identifying determinants of spatial agglomeration of healthcare resources by using spatial econometric methods: a longitudinal study in China.

Background: Healthcare resources are necessary for individuals to maintain their health. The Chinese government has implemented policies to optimize the allocation of healthcare resources and achieve the goal of equality in healthcare for the Chinese people since the implementation of the new medical reform in 2009. Given that no study has investigated regional differences from the perspective of healthcare resource agglomeration, this study aimed to investigate China's healthcare agglomeration from 2009 to 2017 in China and identify its determinants to provide theoretical evidence for the government to develop and implement scientific and rational healthcare policies. Methods: The study was conducted using 2009-2017 data to analyze health-resource agglomeration on institutions, beds, and workforce in China. An agglomeration index was applied to evaluate the degree of regional differences in healthcare resource allocation, and spatial econometric models were constructed to identify determinants of the spatial agglomeration of healthcare resources. Results: From 2009 to 2017, all the agglomeration indexes of healthcare exhibited a downward trend except for the number of institutions in China. Population density (PD), government health expenditures (GHE), urban resident's disposable income (URDI), geographical location (GL), and urbanization level (UL) all had positive significant effects on the agglomeration of beds, whereas both per capita health expenditures (PCHE), number of college students (NCS), and maternal mortality rate (MMR) had significant negative effects on the agglomeration of institutions, beds, and the workforce. In addition, population density (PD) and per capita gross domestic product (PCGDP) in one province had negative spatial spillover effects on the agglomeration of beds and the workforce in neighboring provinces. However, MMR had a positive spatial spillover effect on the agglomeration of beds and the workforce in those regions. Conclusion: The agglomeration of healthcare resources was observed to remain at an ideal level in China from 2009 to 2017. According to the significant determinants, some corresponding targeted measures for the Chinese government and other developing countries should be fully developed to balance regional disparities in the agglomeration of healthcare resources across administrative regions.

Spatial distribution and influencing factors of CDC health resources in China: a study based on panel data from 2016-2021.

Background: Measuring the development of Chinese centers for disease control and prevention only by analyzing human resources for health seems incomplete. Moreover, previous studies have focused more on the quantitative changes in healthcare resources and ignored its determinants. Therefore, this study aimed to analyze the allocation of healthcare resources in Chinese centers for disease control and prevention from the perspective of population and spatial distribution, and to further explore the characteristics and influencing factors of the spatial distribution of healthcare resources. Methods: Disease control personnel density, disease control and prevention centers density, and health expenditures density were used to represent human, physical, and financial resources for health, respectively. First, health resources were analyzed descriptively. Then, spatial autocorrelation was used to analyze the spatial distribution characteristics of healthcare resources. Finally, we used spatial econometric modeling to explore the influencing factors of healthcare resources. Results: The global Moran index for disease control and prevention centers density decreased from 1.3164 to 0.2662 (p < 0.01), while the global Moran index for disease control personnel density increased from 0.4782 to 0.5067 (p < 0.01), while the global Moran index for health expenditures density was statistically significant only in 2016 (p < 0.1). All three types of healthcare resources showed spatial aggregation. Population density and urbanization have a negative impact on the disease control and prevention centers density. There are direct and indirect effects of disease control personnel density and health expenditures density. Population density and urbanization had significant negative effects on local disease control personnel density. Urbanization has an indirect effect on health expenditures density. Conclusion: There were obvious differences in the spatial distribution of healthcare resources in Chinese centers for disease control and prevention. Social, economic and policy factors can affect healthcare resources. The government should consider the rational allocation of healthcare resources at the macro level.

The non-clinical burden of febrile seizures: a systematic review.

Febrile seizures (FS) can be frightening for parents, even though they are usually harmless. Various questionnaires have been used to assess parental reactions and awareness about FS, revealing insufficient knowledge. Studies have shown that educational interventions significantly reduce parental concerns, improve knowledge, and promote better first-aid measures. Providing clear information and emotional support to parents is important to reduce their concerns and improve FS management. Healthcare providers should give comprehensive information about FS, including the risk of recurrence, and provide clear instructions on their management. The economic impact of FS includes direct and indirect costs. Studies have shown a decrease of hospitalizations and associated costs due to improved clinical adherence to guidelines, which also reduces the inappropriate use of healthcare resources. This systematic review provides a comprehensive overview of the existing literature on parental anxiety and education about FS, as well as their economic impact, aiming at identifying areas for improvement in the management of FS and providing valuable insights for healthcare providers and policymakers to better address the non-clinical burden of this condition.

The use and perceived value of electronic health information resources by health care professionals in the field of medicine, pharmacy, and nursing in Jazan province, Saudi Arabia.

Background: Healthcare workers increasingly use Electronic Health Information Resources (EHIRs) to make evidence-based decisions. Our study was intended to assess the perception, attitude, and practice of healthcare professionals in medicine, pharmacy, and nursing regarding their perceived value and use of EHIRs. Methods: We conducted an observational cross-sectional study using a pre-validated questionnaire among healthcare professionals in Jazan province from September 2022 to February 2023. We included healthcare professionals and interns with medical, pharmacy, or nursing degrees and excluded those who refused informed consent. Results: We included fully completed data from 294 participants, with an actual response rate of just 80.1 %. Almost 87.41 % utilized the health information resources at their workplace, with UpToDate [39.45 %] and Medscape [67.01 %] being the most frequently used medical databases. The health facilities' access to electronic health resources significantly impacted healthcare professionals' [p = 0.04] and medical interns' [p = 0.02] roles. Faculty members felt the need to access electronic health information at their workplace [p = 0.00]. Lack of time to access electronic health information due to a busy schedule was a significant reason that impacted the attitude of medical professionals [p = 0.008] and nursing staff [p = 0.025]. An excessive amount of clinically unrelated data was the primary obstacle (181/294, p < 0.0001) in using electronic health information resources. Conclusion: Our study showed the pattern of healthcare professionals using EHIRs in the Jazan province, Saudi Arabia. We believe the study's outcome can help increase the calibre of electronic health information services available to healthcare professionals and raise awareness of different EHIRs in improving clinical care.

Analysis of the Complexity of Palliative Care for Cancer Patients.

INTRODUCTION: The Spanish National Health System has defined complexity as a set of factors of increased difficulty that require the intervention of a palliative care team. Palliative care aims to improve the quality of life of patients with chronic terminal illnesses. This study aims to describe the degree of complexity of cancer patients in palliative care, to determine which elements of complexity are most prevalent and to determine which other hospital clinical factors are associated with the level of complexity. METHODS: This study is a descriptive, observational, and cross-sectional analysis that included patients diagnosed with advanced oncological pathology undergoing palliative treatment who were admitted to the Medical Oncology ward of the Miguel Servet University Hospital between March and April 2023. RESULT: A total of 100 patients were selected for the study. According to the IDC-Pal, 68% of patients were classified as highly complex, 26% of patients were complex and only 6% of patients were classified as non-complex. The presence of pain (P < .001), nausea and vomiting (P = .027), depression (P = .033) and functional status (P = .011) were statistically independent predictors of high complexity. DISCUSSION: This study has shown that a high proportion of hospitalized palliative care cancer patients have high complexity, suggesting a good matching of healthcare resources to patient complexity. Four factors related to complexity have been identified, namely pain, nausea and vomiting, depression and a bedridden functional state. The presence of any of the 4 factors could help healthcare professionals to identify patients for early specialized palliative care.

Comparison of Healthcare Costs for Women with Treated Versus Untreated Vasomotor Symptoms Due to Menopause.

INTRODUCTION: The study objective was to estimate all-cause healthcare resource utilization (HCRU) and medical and pharmacy costs for women with treated versus untreated vasomotor symptoms (VMS) due to menopause. METHODS: A retrospective study was conducted using US claims data from Optum Research Database (study period: January 1, 2012-February 29, 2020). Women aged 40-63 years with a VMS diagnosis claim and ≥ 12 and ≥ 18 months of continuous enrollment during baseline and follow-up periods, respectively, were included. Women treated for VMS were propensity score matched 1:1 to untreated controls with VMS. Standardized differences (SDIFF) ≥ 10% were considered meaningful. A generalized linear model (gamma distribution, log link, robust standard errors) estimated the total cost of care ratio. Subgroup analyses of on- and off-label treatment costs were conducted. RESULTS: Of 117,582 women diagnosed with VMS, 20.5% initiated VMS treatment and 79.5% had no treatment. Treated women (n = 24,057) were matched to untreated VMS controls. There were no differences in HCRU at follow-up (SDIFF < 10%). Pharmacy ($487 vs $320, SDIFF 28.4%) and total ($1803 vs $1536, SDIFF 12.6%) costs were higher in the treated cohort. Total costs were 7% higher in the treated cohort (total cost ratio 1.07, 95% CI 1.05-1.10, P < 0.001). The on-label treatment pharmacy costs ($546 versus $315, SDIFF 38.6%) were higher in the treated cohort. Off-label treatment had higher medical costs ($1393 versus $1201, SDIFF 10.4%). CONCLUSIONS: Most women with VMS due to menopause were not treated within 6 months following diagnosis. While both on- and off-label treatment increased the total cost of care compared with untreated controls, those increases were modest in magnitude and should not impede treatment for women who report symptom improvement as a result of treatment.

An epidemiological investigation of high-risk infants for Respiratory Syncytial Virus infections: a retrospective cohort study.

BACKGROUND: Respiratory Syncytial Virus (RSV) infections may lead to severe consequences in infants born preterm with breathing problems (such as bronchopulmonary dysplasia (BPD) and respiratory distress syndrome (RDS)) or congenital heart diseases (CHD). Since studies investigating the influence of different gestational age (WGA) and concomitant specific comorbidities on the burden of RSV infections are scarce, the present study aimed to better characterize these high-risk populations in the Italian context. METHODS: This retrospective, longitudinal and record-linkage cohort study involved infants born between 2017 and 2019 in Lazio Region (Italy) and is based on data extracted from administrative databases. Each infant was exclusively included in one of the following cohorts: (1) BPD-RDS (WGA ≤35 with or without CHD) or (2) CHD (without BPD and/or RDS) or (3) Preterm (WGA ≤35 without BPD (and/or RDS) or CHD). Each cohort was followed for 12 months from birth. Information related to sociodemographic at birth, and RSV and Undetermined Respiratory Agents (URA) hospitalizations and drug consumption at follow-up were retrieved and described. RESULTS: A total of 8,196 infants were selected and classified as 1,084 BPD-RDS, 3,286 CHD and 3,826 Preterm. More than 30% of the BPD-RDS cohort was composed by early preterm infants (WGA ≤ 29) in contrast to the Preterm cohort predominantly constitute by moderate preterm infants (98.2%), while CHD infants were primarily born at term (83.9%). At follow-up, despite the cohorts showed similar proportions of RSV hospitalizations, in BPD-RDS cohort hospitalizations were more frequently severe compared to those occurred in the Preterm cohort (p<0.01), in the BPD-RDS cohort was also found the highest proportion of URA hospitalizations (p<0.0001). In addition, BPD-RDS infants, compared to those of the remaining cohorts, received more frequently prophylaxis with palivizumab (p<0.0001) and were more frequently treated with adrenergics inhalants, and glucocorticoids for systemic use. CONCLUSIONS: The assessment of the study clinical outcomes highlighted that, the demographic and clinical characteristics at birth of the study cohorts influence their level of vulnerability to RSV and URA infections. As such, continuous monitoring of these populations is necessary in order to ensure a timely organization of health care system able to respond to their needs in the future.

The Implications of Socioeconomic Status by ZIP Code on Maternal-Fetal Morbidity and Mortality in San Antonio, Texas.

Introduction Over the past 20 years, the number of pregnancy-related fatalities in the United States has been on the rise. Increases in maternal and fetal mortality have been attributed to low socioeconomic status (SES). This raises the question of whether all geographical locations are proportionally affected by this upward trend in pregnancy-related fatalities. San Antonio is one of the largest cities in the United States and is known for its economic segregation. This study aims to compare the maternal and fetal health outcomes of mothers from diverse socioeconomic backgrounds in San Antonio, Texas. Methods To analyze the relationship between pregnancy-related mortality rates and SES in San Antonio, Texas, the International Classification of Diseases (ICD)-10 codes for maternal and fetal demise and their associated risk factors were identified. The ICD-10 codes were used to compare the health outcomes of pregnant women from the highest SES ZIP Code (78255, median income $124,397) to women from the lowest SES ZIP Code (78207, median income $25,415) using the Texas Inpatient Public Use Data File for 2016, which contains information on 93-97% of all hospital discharges in San Antonio, Texas. Results Notably, pregnant women from the high SES ZIP Code were admitted to the hospital from clinics or a physician's office (68.8%), while pregnant women from the low SES ZIP Code were admitted to the hospital from non-healthcare facilities like home or workplace (62.5%). In addition, a greater percentage of patients from the low SES ZIP Code were Black (4.3% vs 1.3%) or Hispanic (88.5% vs 35.1%). Compared to women from the high SES ZIP Code, women from the low SES ZIP Code experienced more fetal deaths and a higher prevalence of maternal and fetal risk factors such as obesity (47.6% vs 32.5%), asthma (1.7% vs 1.3%), hypertension (0.8% vs 0%), substance abuse (0.5% vs 0%), diabetes mellitus (9.8% vs 7.8%), preeclampsia (7.7% vs 2.6%), and multiple C-sections (35.5% vs 28.6%). Finally, fetal mortality rates were higher in the low SES ZIP Code (1.1% vs 0%). Although there were no statistically significant maternal or fetal mortality differences between the ZIP Codes, the trend suggests that women's health outcomes in San Antonio are not equitable. Discussion Analysis reveals disproportionate health outcomes for women in south San Antonio. Further investigation is warranted to better understand the role social and medical factors play in these results. Investigating the relationship between SES and pregnancy-related mortality can help to better inform healthcare providers and identify ways to improve women's health outcomes in San Antonio, Texas.

Does unequal economic development contribute to the inequitable distribution of healthcare resources? Evidence from China spanning 2001-2020.

BACKGROUND: There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity. METHODS: The data used in this study was sourced from the China City Statistical Yearbook from 2001 to 2020. Two indicators were employed to measure medical resources: the number of doctors per million population and the number of hospital and clinic beds per million population. We employed dynamic convergence model and fixed-effects model to examine the correlation between economic growth and the spatial distribution of medical resources. Ordinary least squares (OLS) were used to estimate the ß values of the samples. RESULTS: The average GDP for all city samples across all years was 36,019.31 ± 32,029.36, with an average of 2016.31 ± 1104.16 doctors per million people, and an average of 5986.2 ± 6801.67 hospital beds per million people. In the eastern cities, the average GDP for all city samples was 47,672.71 ± 37,850.77, with an average of 2264.58 ± 1288.89 doctors per million people, and an average of 3998.92 ± 1896.49 hospital beds per million people. Cities with initially low medical resources experienced faster growth (all ß < 0, P < 0.001). The long-term convergence rate of the geographic distribution of medical resources in China was higher than the short-term convergence rate (|ßi + 1| > |ßi|, i = 1, 2, 3, …, 9, all ß < 0, P < 0.001), and the convergence speed of doctor density exceeded that of bed density (bed: |ßi| >doc: |ßi|, i = 3, 4, 5, …, 10, P < 0.001). Economic growth significantly affected the convergence speed of medical resources, and this effect was nonlinear (doc: ßi < 0, i = 1, 2, 3, …, 9, P < 0.05; bed: ßi < 0, i = 1, 2, 3, …, 10, P < 0.01). The heterogeneity between provinces had a notable impact on the convergence of medical resources. CONCLUSIONS: The experiences of China have provided significant insights for nations worldwide. Governments and institutions in all countries worldwide, should actively undertake measures to actively reduce health inequalities. This includes enhancing healthcare standards in impoverished regions, addressing issues of unequal distribution, and emphasizing the examination of social determinants of health within the domain of public health research.

Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.

BACKGROUND: Ensuring universal health coverage and equitable access to health services requires a comprehensive understanding of spatiotemporal heterogeneity in healthcare resources, especially in small areas. The absence of a structured spatiotemporal evaluation framework in existing studies inspired us to propose a conceptual framework encompassing three perspectives: spatiotemporal inequalities, hotspots, and determinants. METHODS: To demonstrate our three-perspective conceptual framework, we employed three state-of-the-art methods and analyzed 10 years' worth of Chinese county-level hospital bed data. First, we depicted spatial inequalities of hospital beds within provinces and their temporal inequalities through the spatial Gini coefficient. Next, we identified different types of spatiotemporal hotspots and coldspots at the county level using the emerging hot spot analysis (Getis-Ord Gi* statistics). Finally, we explored the spatiotemporally heterogeneous impacts of socioeconomic and environmental factors on hospital beds using the Bayesian spatiotemporally varying coefficients (STVC) model and quantified factors' spatiotemporal explainable percentages with the spatiotemporal variance partitioning index (STVPI). RESULTS: Spatial inequalities map revealed significant disparities in hospital beds, with gradual improvements observed in 21 provinces over time. Seven types of hot and cold spots among 24.78% counties highlighted the persistent presence of the regional Matthew effect in both high- and low-level hospital bed counties. Socioeconomic factors contributed 36.85% (95% credible intervals [CIs]: 31.84-42.50%) of county-level hospital beds, while environmental factors accounted for 59.12% (53.80-63.83%). Factors' space-scale variation explained 75.71% (68.94-81.55%), whereas time-scale variation contributed 20.25% (14.14-27.36%). Additionally, six factors (GDP, first industrial output, local general budget revenue, road, river, and slope) were identified as the spatiotemporal determinants, collectively explaining over 84% of the variations. CONCLUSIONS: Three-perspective framework enables global policymakers and stakeholders to identify health services disparities at the micro-level, pinpoint regions needing targeted interventions, and create differentiated strategies aligned with their unique spatiotemporal determinants, significantly aiding in achieving sustainable healthcare development.

The role of pharmacies in the implementation of vaccination cover- age in Italy. Insights from the preliminary data of the Lombardy Region.

Introduction: The administration of vaccines in pharmacies was not allowed in Italy until 2021. During the COVID-19 pandemic, legislative innovations were introduced that now allow qualified pharmacists to administer anti-flu and anti-COVID-19 vaccines after completing specific training. Methods: The article provides an overview of legislation concerning vaccinations in Italian pharmacies, followed by a description of the vaccinations carried out by pharmacies participating in the regional vaccination campaign from 2021 to 2023. The study relies on data extracted from the Lombardy Region's database on vaccine administration in pharmacies. Furthermore, innovative vaccination practices from the Marche Region were also taken into consideration. Study Design: Observational Study. Results: Lombardy became the Italian pioneer region in extensively incorporating pharmacy-based vaccinations, starting in 2021. This initiative reached its zenith with 46% of anti-COVID vaccines and 17% of flu vaccines administered within the first six weeks of the autumn 2023 campaign. Pharmacies played a crucial role in meeting the targets outlined in the Italian National Vaccine Prevention Plan for 2023-25. As part of an experimental program, the Marche Region has further expanded pharmacy-based vaccinations, now including anti-zoster and anti-pneumococcus vaccines for the 2023-24 campaign. Conclusions: The promising outcomes observed in Lombardy and the ongoing experimental efforts in the Marche are encouraging steps toward achieving vaccination coverage targets, albeit still falling below the objectives set by the National Vaccination Plan for 2023-25. The widespread presence of pharmacies throughout the territory makes them well-suited as support structures for vaccination campaigns, especially in reaching the adult, the elderly, and the vulnerable populations.

Real-world evidence of the burden of sickle cell disease: a 5-year longitudinal study at a Brazilian reference center.

INTRODUCTION: Sickle cell disease (SCD) is an inherited and multisystem blood disorder characterized by hemolytic anemia, vaso-occlusive crises (VOCs), progressive multiorgan damage and increased mortality. In Brazil, it is one of the most common monogenic diseases afflicting 60,000 to 100,000 individuals, however, there are sparse epidemiological data, as well as information on the utilization of public healthcare resources. METHOD: This was a 5-year (2016 - 2020) retrospective study conducted at one Brazilian reference center on SCD - Santa Casa de Sao Paulo, in Sao Paulo, Brazil. RESULTS: Among a total of 100 eligible adult patients, the median age was 31.0 years old, 84% of the patients were aged between 18 and 45 years old; 59% were women and 91% presented the genotype HbSS. The number of hematologist and non-hematologist visits at the outpatient unit were 2,198 and 1,436, respectively. The number of hospital ER visits was 758, of which 51% required 864 days of hospitalization. The main cause for seeking hospital medical care was the VOCs. The numbers and ratios of VOCs were: 1 to 10 VOCs, 64%; 11 to 20, 15%, and; 21 or more, 1%. There was a statistically significant difference between the number of VOCs and hospitalizations, as well as infection. CONCLUSION: Results indicate the burden of SCD on Brazilian patients' daily lives, the impact of VOCs on public healthcare resources, the importance of having a national surveillance program to improve resource utilization and clinical outcomes of patients with SCD and the urgent need for the revitalizing of the current national comprehensive SCD care programs.

Primary care doctors retirements in the context of an ageing population in Italy.

Background: Ongoing shortages in primary care doctors/primary care paediatricians and increasing healthcare needs due to ageing of the population represent a great challenge for healthcare providers, managers, and policymakers. To support planning of primary healthcare resource allocation we analyzed the geographic distribution of primary care doctors/primary care paediatricians across Italian regions, accounting for area-specific number and age of the population. Additionally, we estimated the number of primary care doctors/primary care paediatricians expected to retire over the next 25 years, with a focus on the next five years. Study design: Ecological study. Methods: We gathered the list of Italian general practitioners and primary care paediatricians and combined them with the data from the National Federation of Medical Doctors, Surgeons and Dentists. Using data from the National Institutes of Statistics, we calculated the average number of patients per doctor for each region using the number of residents above and under 14 years of age for general practitioners and primary care paediatricians respectively. We also calculated the number of residents over-65 and over-75 years of age per general practitioner, as elderly patients typically have higher healthcare needs. Results: On average the number of patients per general practitioner was 1,447 (SD: 190), while for paediatricians it was 1,139 (SD: 241), with six regions above the threshold of 1,500 patients per general practitioner and only one region under the threshold of 880 patients per paediatrician. We estimated that on average 2,228 general practitioners and 444 paediatricians are going to retire each year for the next five years, reaching more than 70% among the current workforce for some southern regions. The number of elderly patients per general practitioner varies substantially between regions, with two regions having >15% more patients aged over 65 years compared to the expected number. Conclusions: over 65 years compared to the expected number. Conclusions. The study highlighted that some regions do not currently have the required primary care workforce, and the expec-ted retirements and the ageing of the population will exacerbate the pressure on the already over-stretched healthcare services. A response from healthcare administrations and policymakers is urgently required to allow equitable access to quality primary care across the country.

Attempted Suicide Is Independently Associated with Increased In-Hospital Mortality and Hospital Length of Stay among Injured Patients at Community Tertiary Hospital in Japan: A Retrospective Study with Propensity Score Matching Analysis.

Suicide is an increasingly important public healthcare concern worldwide. Studies examining the effect of attempted suicide on clinical outcomes among patients with trauma are scarce. We conducted a retrospective cohort study at a community emergency department in Japan. We included all severely injured patients with an Injury Severity Score > 15 from January 2002 to December 2021. The primary outcome measure was in-hospital mortality. The other outcome of interest was hospital length of stay. One-to-one propensity score matching was performed to compare these outcomes between suicide attempt and no suicide attempt groups. Of the 2714 eligible patients, 183 (6.7%) had trauma caused by a suicide attempt. In the propensity score-matched analysis with 139 pairs, the suicide attempt group showed a significant increase in-hospital mortality (20.9% vs. 37.4%; odds ratio 2.27; 95% confidence intervals 1.33-3.87) compared with the no suicide attempt group. Among survivors, the median hospital length of stay was significantly longer in the suicide attempt group than that in the no suicide attempt group (9 days vs. 12 days, p = 0.0076). Because of the unfavorable consequences and potential need for additional healthcare, increased attention should be paid to patients with trauma caused by a suicide attempt.

The neurosurgical outpatient clinic: comparison between accesses in public and private activities.

BACKGROUND: Neurosurgical clinic assesses presence and extent of pathologies of central and peripheral nervous system or disorders affecting the spine, to identify most effective treatment and possible recourse to surgery. The aim of the study is to evaluate the appropriateness of request for a neurosurgical consult both in private and in public outpatient clinics. MATERIALS AND METHODS: We collected and analyzed all the reports of outpatient visits of public and private clinic over a period between January and December 2018. RESULTS: There were 0.62% real urgent visits in the public sector and 1.19% in the private sector (p = 0.05). Peripheral pathologies represented 12.53% and 6.21% of pathologies evaluated in public and private sector respectively (p < 0.00001). In addition, 15.76% of visits in public lead to surgery, while they represented 11.45% in private (p = 0.0003). CONCLUSIONS: No study is available comparing accesses of patients in neurosurgical outpatient clinics. In public clinic, visits are booked as urgent on the prescription of the general practitioner: in reality, only 5% of these visits were really confirmed as urgent by the specialist. Peripheral pathologies are more frequent in public clinic, while cranial pathologies are more frequent in private one. Patients with cranial pathologies prefer to choose their surgeon by accessing private clinic.

Sustainability in Internal Medicine: A Year-Long Ward-Wide Observational Study.

Population aging and multimorbidity challenge health system sustainability, but the role of assistance-related variables rather than individual pathophysiological factors in determining patient outcomes is unclear. To identify assistance-related determinants of sustainable hospital healthcare, all patients hospitalised in an Internal Medicine Unit (n = 1073) were enrolled in a prospective year-long observational study and split 2:1 into a training (n = 726) and a validation subset (n = 347). Demographics, comorbidities, provenance setting, estimates of complexity (cumulative illness rating scale, CIRS: total, comorbidity, CIRS-CI, and severity, CIRS-SI subscores) and intensity of care (nine equivalents of manpower score, NEMS) were analysed at individual and Unit levels along with variations in healthcare personnel as determinants of in-hospital mortality, length of stay and nosocomial infections. Advanced age, higher CIRS-SI, end-stage cancer, and the absence of immune-mediated diseases were correlated with higher mortality. Admission from nursing homes or intensive care units, dependency on activity of daily living, community- or hospital-acquired infections, oxygen support and the number of exits from the Unit along with patient/physician ratios were associated with prolonged hospitalisations. Upper gastrointestinal tract disorders, advanced age and higher CIRS-SI were associated with nosocomial infections. In addition to demographic variables and multimorbidity, physician number and assistance context affect hospitalisation outcomes and healthcare sustainability.