METHODS: Data provided by the Fukuoka Prefecture Latter-stage Elderly Insurance Association was used. There were 11,821 patients aged ≥65 years with acute coronary syndromes who were identified from 2015 to 2017. Three-level multilevel logistic regression analyses were performed to quantify the small-area and hospital variations, as well as, to identify the determinants of PCI use.
RESULTS: The results showed significant variation (δ2 = 0.744) and increased PCI use (MOR = 2.425) at the hospital level. After controlling patient- and hospital-level characteristics, a large proportional change in cluster variance was found at the hospital level (PCV 14.7%). Fixed-effect estimation results showed that females, patients aged ≥80 years old, hypertension and dyslipidemia had significant association with the use of PCI. Hospitals with high physician density had a significantly positive relationship with PCI use.
CONCLUSIONS: Patients receiving care in hospitals located in small areas have equitable access to PCI. Hospital-level variation might be originated from the oversupply of physicians. A balanced number of physicians and beds should be taken into consideration during healthcare allocation. A treatment process guideline on PCI targeting older patients is also needed to ensure a more equitable access for healthcare resources.
STUDY DESIGN: Interrupted time series (ITS).
METHODS: We used the monthly aggregated data of the number of PEG procedures in older adults with dementia (both broad and narrow definitions), between 2012 and 2018, from the claims data in Fukuoka Prefecture, Japan. A single ITS design was used to estimate changes in the outcome following each intervention (i.e., first, second, and third interventions performed in 2014, 2015, and 2016, respectively). A controlled ITS design was applied to estimate the effects after the sequence of interventions (pre-intervention: 2012-2014; post-intervention: 2016-2018). The control group comprised patients with malignant head and neck tumors who underwent PEG procedures outside the scope of this policy restriction.
RESULTS: The number of PEG procedures decreased significantly only in the month wherein the third intervention was introduced (broad definition: IRR = 0.11, CI = 0.03-0.49; narrow definition: IRR = 0.15, CI = 0.03-0.75). No significant difference was observed between the treatment and control groups during the post-intervention phase.
CONCLUSIONS: The impact of fee-revision policy for PEG on the decrease in PEG procedures among older adults with dementia is remarkably minimal. It is difficult to reduce unnecessary PEG procedures by relying on this financial incentive alone. Policy decision-makers should consider methods to prevent inappropriate use of artificial nutrition for older adults at their end-of-life stage by reforming the health delivery system.
METHODS: Retrospective cohort study. Medical claims data and long-term care claims data from Fukuoka Prefecture, Japan, were used. We identified 3,882 older adults (≥75 years) with advanced dementia who were hospitalized between April 2016 and March 2019 due to dysphagia, malnutrition, or aspiration pneumonia. Using propensity score matching, we matched 192 patients in the PEG group with 192 in the non-artificial nutrition group, and 490 patients in the NGT group with 490 in the non-artificial nutrition group. We examined the survival years and total costs of each patient from the date of admission to March 31, 2020, and thereby estimated the cost-effectiveness of PEG and NGT, respectively, versus non-artificial nutrition. The net benefit regression model was employed to estimate the incremental net benefits (INB) with varying values of willingness-to-pay (WTP) for PEG and NGT. Furthermore, cost-effectiveness acceptability curve was used to present the probability of the cost-effectiveness of each intervention.
RESULTS: As WTP increased from JPY 7,747,909 (equivalent to US$51,546) to JPY 28,163,651 (equivalent to US$187,371), the probability of PEG being cost-effective increased from 50 % to nearly100 %. The NGT group had negative INB estimates.
CONCLUSIONS: Both PEG and NGT are less likely to provide economic values for patients with advanced dementia. However, this conclusion should be further refined through detailed cost-effectiveness analysis from multiple perspectives.
METHODS: The International Society of Global Health (ISoGH) used the Child Health and Nutrition Research Initiative (CHNRI) method to identify research priorities for future pandemic preparedness. Eighty experts in global health, translational and clinical research identified 163 research ideas, of which 42 experts then scored based on five pre-defined criteria. We calculated intermediate criterion-specific scores and overall research priority scores from the mean of individual scores for each research idea. We used a bootstrap (n = 1000) to compute the 95% confidence intervals.
RESULTS: Key priorities included strengthening health systems, rapid vaccine and treatment production, improving international cooperation, and enhancing surveillance efficiency. Other priorities included learning from the coronavirus disease 2019 (COVID-19) pandemic, managing supply chains, identifying planning gaps, and promoting equitable interventions. We compared this CHNRI-based outcome with the 14 research priorities generated and ranked by ChatGPT, encountering both striking similarities and clear differences.
CONCLUSIONS: Priority setting processes based on human crowdsourcing - such as the CHNRI method - and the output provided by ChatGPT are both valuable, as they complement and strengthen each other. The priorities identified by ChatGPT were more grounded in theory, while those identified by CHNRI were guided by recent practical experiences. Addressing these priorities, along with improvements in health planning, equitable community-based interventions, and the capacity of primary health care, is vital for better pandemic preparedness and response in many settings.