Effects of DementiaNet's Community Care Network Approach on Admission Rates and Healthcare Costs: A Longitudinal Cohort Analysis.

BACKGROUND: People with dementia are increasingly living at home, relying on primary care providers for most healthcare needs. Suboptimal collaboration and communication between providers could cause inefficiencies and worse patient outcomes. Innovative strategies are needed to address this growing disease burden and rising healthcare costs. The DementiaNet programme, a community care network approach targeted at patients with dementia in the Netherlands, has been shown to improve patient's quality of care. However, very little is known about the impact of DementiaNet on admission risks and healthcare costs. This study addresses this knowledge gap. METHODS: A longitudinal cohort analysis was performed, using medical and long-term care claims data from 38 525 patients between 2015-2019. The primary outcomes were risk of hospital admission and annual total healthcare costs. Mixed-model regression analyses were used to identify changes in outcomes. RESULTS: Patients who received care from a DementiaNet community care network showed a general trend in lower risk of admission for all types of admissions studied (ie, hospital, emergency ward, intensive care, crisis, and nursing home). Also, the intervention group showed a significant reduction of 12% in nursing days (relative risk [RR] 0.88; 95% CI: 0.77- 0.96). No significant differences were found for total healthcare costs. However, we found effects in two sub-elements of total healthcare costs, being a decrease of 19.7% (95% CI: 7.7%-30.2%) in annual hospital costs and an increase of 10.2% (95% CI: 2.3%-18.6%) in annual primary care costs. CONCLUSION: Our study indicates that DementiaNet's community care network approach may reduce admission risks for patients with dementia over a long-term period of five years. This is accompanied by a decrease in nursing days and savings in hospital care that exceed increased primary care costs. This improvement in integrated dementia care supports wider scale implementation and evaluation of these networks.

Complex Governance Does Increase Both the Real and Perceived Registration Burden: The Case of the Netherlands Comment on "Perceived Burden Due to Registrations for Quality Monitoring and Improvement in Hospitals: A Mixed Methods Study".

The burden of registrations for professionals should be more firmly on the policy agenda. In a rigorous study, Marieke Zegers and colleagues make a compelling argument why that should be the case. In Dutch hospitals, the average professional spends 52.3 minutes a day on quality registries and monitoring instruments. Many more administrative duties exist. These represent substantial resources and ultimately could become a drag on the intrinsic motivation of the care professions. We agree with Zegers et al that we are in need for more operational efficiency. However, the issue at hand is very complex and also intensely connected to the entire healthcare system and its different levels. More operational efficiency alone will not solve this problem. We are also in need for better governance of data-issues at the macro-system level.

Sugar-sweetened beverage taxation in 2017: a commentary on the reasons behind their quick spread in the EU compared with the USA.

In the final issue of Public Health Nutrition in 2017, Kathryn Backholer and colleagues provide a clear overview of the spread of taxes on sugar-sweetened beverages (SSB) in 2017, and a useful overview of opposing arguments and their counterpoints. Backholer et al. argue that much of the action was concentrated in the USA, but in the present commentary we point out that the recent sweep of SSB tax policy announcements in the EU seems much more promising. Policy makers in EU countries seem to learn from neighbouring countries, while political ideologies do not appear to stand in the way. This could have international spillover effects as the default tax thresholds of 5 and 8 g sugar/100 ml, used in EU cases, provide clear incentives for the multinational soda industry to reduce sugar levels across the board, although it is not yet clear whether the tiered tax designs used in the EU are actually more effective than the flat rate tax designs used in the USA. Scholars may contribute to the policy momentum by comparing the effectiveness and feasibility of both designs in different policy contexts, including lower- and middle-income countries. The spread of SSB taxes in the USA will nevertheless most likely be limited so long as it remains a local policy and 'no-go' for the Republican Party. We explain the differences between the EU and USA by comparing the level of fiscal decentralization, the political context and the use of framing strategies.

Characteristics and healthcare utilisation patterns of high-cost beneficiaries in the Netherlands: a cross-sectional claims database study.

OBJECTIVE: To determine medical needs, demographic characteristics and healthcare utilisation patterns of the top 1% and top 2%-5% high-cost beneficiaries in the Netherlands. DESIGN: Cross-sectional study using 1 year claims data. We broke down high-cost beneficiaries by demographics, the most cost-incurring condition per beneficiary and expensive treatment use. SETTING: Dutch curative health system, a health system with universal coverage. PARTICIPANTS: 4.5 million beneficiaries of one health insurer. MEASURES: Annual total costs through hospital, intensive care unit use, expensive drugs, other pharmaceuticals, mental care and others; demographics; most cost-incurring and secondary conditions; inpatient stay; number of morbidities; costs per ICD10-chapter (International Statistical Classification of Diseases, 10th revision); and expensive treatment use (including dialysis, transplant surgery, expensive drugs, intensive care unit and diagnosis-related groups >€30 000). RESULTS: The top 1% and top 2%-5% beneficiaries accounted for 23% and 26% of total expenditures, respectively. Among top 1% beneficiaries, hospital care represented 76% of spending, of which, respectively, 9.0% and 9.1% were spent on expensive drugs and ICU care. We found that 54% of top 1% beneficiaries were aged 65 years or younger and that average costs sharply decreased with higher age within the top 1% group. Expensive treatments contributed to high costs in one-third of top 1% beneficiaries and in less than 10% of top 2%-5% beneficiaries. The average number of conditions was 5.5 and 4.0 for top 1% and top 2%-5% beneficiaries, respectively. 53% of top 1% beneficiaries were treated for circulatory disorders but for only 22% of top 1% beneficiaries this was their most cost-incurring condition. CONCLUSIONS: Expensive treatments, most cost-incurring condition and age proved to be informative variables for studying this heterogeneous population. Expensive treatments play a substantial role in high-costs beneficiaries. Interventions need to be aimed at beneficiaries of all ages; a sole focus on the elderly would leave many high-cost beneficiaries unaddressed. Tailored interventions are needed to meet the needs of high-cost beneficiaries and to avoid waste of scarce resources.