BACKGROUND: This study aims to propose a semi-automatic method for monitoring the waiting times of follow-up examinations within the National Health System (NHS) in Italy, which is currently not possible to due the absence of the necessary structured information in the official databases.
METHODS: A Natural Language Processing (NLP) based pipeline has been developed to extract the waiting time information from the text of referrals for follow-up examinations in the Lombardy Region. A manually annotated dataset of 10 000 referrals has been used to develop the pipeline and another manually annotated dataset of 10 000 referrals has been used to test its performance. Subsequently, the pipeline has been used to analyze all 12 million referrals prescribed in 2021 and performed by May 2022 in the Lombardy Region.
RESULTS: The NLP-based pipeline exhibited high precision (0.999) and recall (0.973) in identifying waiting time information from referrals\' texts, with high accuracy in normalization (0.948-0.998). The overall reporting of timing indications in referrals\' texts for follow-up examinations was low (2%), showing notable variations across medical disciplines and types of prescribing physicians. Among the referrals reporting waiting times, 16% experienced delays (average delay = 19 days, standard deviation = 34 days), with significant differences observed across medical disciplines and geographical areas.
CONCLUSIONS: The use of NLP proved to be a valuable tool for assessing waiting times in follow-up examinations, which are particularly critical for the NHS due to the significant impact of chronic diseases, where follow-up exams are pivotal. Health authorities can exploit this tool to monitor the quality of NHS services and optimize resource allocation.

BACKGROUND: This is a secondary database study using the Brazilian public healthcare system database.
OBJECTIVE: To describe intestinal complications (ICs) of patients in the Brazilian public healthcare system with Crohn\'s disease (CD) who initiated and either only received conventional therapy (CVT) or also initiated anti-tumor necrosis factor (anti-TNF) therapy between 2011 and 2020.
METHODS: This study included patients with CD [international classification of diseases - 10th revision (ICD-10): K50.0, K50.1, or K50.8] (age: ≥ 18 years) with at least one claim of CVT (sulfasalazine, azathioprine, mesalazine, or methotrexate). IC was defined as a CD-related hospitalization, pre-defined procedure codes (from rectum or intestinal surgery groups), and/or associated disease (pre-defined ICD-10 codes), and overall (one or more type of ICs).
RESULTS: In the 16809 patients with CD that met the inclusion criteria, the mean follow-up duration was 4.44 (2.37) years. In total, 14697 claims of ICs were found from 4633 patients. Over the 1- and 5-year of follow-up, 8.3% and 8.2% of the patients with CD, respectively, presented at least one IC, of which fistula (31%) and fistulotomy (48%) were the most commonly reported. The overall incidence rate (95%CI) of ICs was 6.8 (6.5-7.04) per 100 patient years for patients using only-CVT, and 9.2 (8.8-9.6) for patients with evidence of anti-TNF therapy.
CONCLUSIONS: The outcomes highlighted an important and constant rate of ICs over time in all the CD populations assessed, especially in patients exposed to anti-TNF therapy. This outcome revealed insights into the real-world treatment and complications relevant to patients with CD and highlights that this disease remains a concern that may require additional treatment strategies in the Brazilian public healthcare system.

OBJECTIVE: Breast cancer (BC) is the most common type of cancer among women in Brazil. Evidence shows that delayed treatment onset is associated with increased mortality. This study aimed to evaluate median days between diagnosis and treatment and factors associated with delayed start of treatment (> 60 days after diagnosis): stage, treatment received, subtype, epidemiological characteristics, and type of healthcare coverage.
METHODS: This analysis included 1709 stage I-III BC patients from AMAZONA III, a prospective, observational study, diagnosed from January 2016 to March 2018 in 22 centers in Brazil.
RESULTS: The median number of days from diagnosis to beginning of first oncologic treatment was 46 days (IQR 28-75) overall, 43 days (IQR 25-75) for stage I disease, 49 days (IQR 28-81) for stage II, and 44 days (IQR 30-68) for stage III, (p = 0.1180). According to first treatment received, diagnosis-to-treatment interval was 43 days (IQR 29-65) for neoadjuvant chemotherapy and 48 days (IQR 26-81) for surgery. Diagnosis-to-treatment interval was higher in women treated in the public system versus the private system (56 vs. 34 days, p < 0.0001). Patients in the public system had an increased odds of delayed treatment initiation (OR 4.74 95% CI 3.09-7.26, p < .0001). The longer interval from diagnosis to treatment in the public system was independent of clinical stage, type of treatment (systemic vs surgery first), subtype and region of the country.
CONCLUSIONS: By characterizing the delays in care delivery, our study will aid stakeholders to better design interventions and allocate resource to improve timely treatment for breast cancer in Brazil.
RESULTS: gov Identifier: NCT02663973, registered on January, 26th, 2016.

OBJECTIVE: Lung cancer is the leading cause of cancer-related death worldwide, and most patients are diagnosed of advanced disease. Molecular-targeted therapy and immunotherapy increase survival among these patients. In this study, we compared the cost of the best treatments available with the amount reimbursed by the Brazilian public healthcare system (Sistema Único de Saúde [SUS]) to treat advanced lung cancer.
METHODS: The authors divided lung cancer into 10 subtypes according to histology and molecular profile. A panel of experts defined the best treatment sequencing for each subtype. The authors considered only drug costs retrieved from the Brazilian Health Regulatory Agency official data. The progression-free survival of each regimen was considered as treatment duration. The cost estimate included all postprogression therapies weighted by each subtype proportional frequency. The amount reimbursed by SUS was the sum of the monthly budget accumulated during the estimated treatment duration and then for the proportional frequency of each subtype.
RESULTS: The budget reimbursed by SUS for treating each advanced lung cancer case in Brazil is R$8000.00 in average whereas the cost estimate for the best treatment available is R$729 454.00 per case, which represents a difference of 9118%. The budget impact to ensure the reimbursement needed to acquire the best treatments available was estimated in near R$13 billion annually.
CONCLUSIONS: The cost estimate of the best treatment available for advanced lung cancer in Brazil is much higher than the amount reimbursed by SUS. This budgetary gap leads to a major access barrier that may compromise the survival outcomes of SUS users.

UNASSIGNED: Depression is common among hospitalized patients and poses a significant threat to their quality of life. Patient engagement (PE) in healthcare has been shown to be associated with positive health outcomes. However, the relationship between PE and depression among hospitalized patients, with and without chronic conditions, has not yet been explored. This study aimed to investigate the association between patients\' satisfaction with PE and self-reported depression in Chinese public hospitals.
UNASSIGNED: A multi-centered, cross-sectional survey was conducted in seven tertiary-level public hospitals in Guangdong province, China. Twelve items from a patient-centered care questionnaire and the Patient Health Questionnaire 2-item version were used were used to assess patients\' satisfaction with PE and self-reported depression, respectively. Propensity score matching (PSM) approach was used to reduce selection bias and potential baseline differences between patients with and without chronic conditions. The relationship between satisfaction with PE and depression was assessed, using univariate and multivariate logistic regression analyses, respectively.
UNASSIGNED: A total of 1,974 hospitalized patients participated in the survey. After the PSM procedure, 604 patients were assigned to the chronic condition group, and another 604 patients were successfully matched in the comparison group with no differences in sex, age, educational level, and PE-related characteristics. Univariate logistic regression analysis indicated that high satisfaction with PE-related approaches significantly decreased the probability of developing depressive status. Multivariate logistic regression analysis further indicated that, after adjusting all PE-related approaches, \"patient education\" and \"involvement in discharge planning\" could significantly decrease the probability of patients developing depression.
UNASSIGNED: Our results indicate that encouraging PE and improving patients\' satisfaction with PE interventions in clinical practice led to improved mental health outcomes among hospitalized patients in China.

While much is known about governance models for research informatics programs in academic medical centers and similarly situated cancer centers, community and public health systems have been less well-characterized. As part of implementing an enterprise research governance framework, leaders in the Los Angeles County Department of Health Services established a research informatics program, including research data warehousing. The strategy is focused on high-priority, patient-centered research that leverages the investment in health IT and an efficient, sustained contribution from 2 affiliated Clinical Translational Sciences Institutes. This case study describes the foundational governance framework and policies that were developed. We share the results of several years of planning, implementation, and operations of an academically funded research informatics service core embedded in a large, multicenter county health system. We include herein a Supplementary Appendix of governance documents that may serve as pragmatic models for similar initiatives.

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This study aimed to investigate the perceptions of patient-centered care (PCC) among inpatients in Guangdong Province (GD), China. Based on these perspectives, we sought to understand existing PCC practices in medical institutions and identify the impacts of inpatients\' sociodemographic status on their perceived PCC. A self-developed PCC questionnaire was used to investigate inpatients\' perceptions of PCC. A cross-sectional survey was conducted in nine tertiary-level hospitals across five cities in GD. Descriptive statistics was used to describe the levels of PCC in GD. The differences in PCC levels across different sociodemographic groups were assessed using analysis of variance and multivariate linear regression. Valid responses were provided by 1863 inpatients. The mean overall PCC score was 8.58 (standard deviation [SD] = 1.36); inpatients from the Pearl River Delta and eastern GD area reported significantly higher scores than those from western and northern GD area (P<.01). Inpatients from rural areas tended to report lower PCC scores than their urban counterparts. Among the PCC questionnaire sub-domains, inpatients scored highest and lowest in \"patient experience\" (mean = 8.96, SD = 1.34) and \"medical insurance\" (mean = 7.93, SD = 2.05), respectively. This study provided a comprehensive overview of inpatients\' perceptions of PCC in the public healthcare system in GD, China. Our findings highlighted that a majority of inpatients were satisfied with the PCC in public healthcare system; however, a significant discrepancy between inpatients with different sociodemographic status remained.

OBJECTIVE: To present a comprehensive real-world micro-costing analysis of bariatric surgery.
METHODS: Patients were included if they underwent primary bariatric surgery (gastric banding [GB], gastric bypass [GBP] and sleeve gastrectomy [SG]) between 2013 and 2019. Costs were disaggregated into cost items and average-per-patient costs from the Australian healthcare systems perspective were expressed in constant 2019 Australian dollars for the entire cohort and subgroup analysis. Annual population-based costs were calculated to capture longitudinal trends. A generalized linear model (GLM) predicted the overall bariatric-related costs.
RESULTS: N = 240 publicly funded patients were included, with the waitlist times of ≤ 10.7 years. The mean direct costs were $11,269. The operating theatre constituted the largest component of bariatric-related costs, followed by medical supplies, salaries, critical care use, and labour on-costs. Average cost for SG ($12,632) and GBP ($15,041) was higher than that for GB ($10,049). Operating theatre accounted for the largest component for SG/GBP costs, whilst medical supplies were the largest for GB. We observed an increase in SG and a decrease in GB procedures over time. Correspondingly, the main cost driver changed from medical supplies in 2014-2015 for GB procedures to operating theatre for SG thereafter. GLM model estimates of bariatric average cost ranged from $7,580 to $36,633.
CONCLUSIONS: We presented the first detailed characterization of the scale, disaggregated profile and determinants of bariatric-related costs, and examined the evolution of resource utilization patterns and costs, reflecting the shift in the Australian bariatric landscape over time. Understanding these patterns and forecasting of future changes are critical for efficient resource allocation.

Confronted with a global pandemic, public healthcare systems are under pressure, making access to healthcare services difficult for patients. This provides fertile ground for using illegal practices such as informal payments to gain access. This paper aims to evaluate the use of informal payments by patients during the COVID-19 pandemic and the institutions that affect the prevalence of this practice. Various measurements of formal and informal institutions are here investigated, namely the acceptability of corruption, the level of trust, transparency, and performance of the healthcare system. To do so, a logistic regression of 10,859 interviews with patients conducted across 11 Central and Eastern Europe countries in October-December 2020 is employed. The finding is that there are large disparities between countries in the prevalence of informal payments, and that the practice is more likely to occur where there are poorer formal and informal institutions, namely higher acceptability of corruption, lower trust in authorities, lower perceived transparency in handling the COVID-19 pandemic, difficult access to, and poor quality of, healthcare services, and higher mortality rates due to the COVID-19 pandemic. These findings suggest that policy measures for tackling informal payments need to address the current state of the institutional environment.