Intermutualist Agency

A recent integrated health care initiative in Belgium supports 12 regional pilot projects scattered across the country and representing 21% of the population. As in shared savings programs, part of the estimated savings in health spending are paid out to the projects to reinvest in new actions. Short-term savings are expected in particular from cost reductions among high-cost patients. We estimate the effect of the projects on spending using a difference-in-difference model. The sensitivity of the results to the right-skewness of spending is commonly addressed by removing or top-coding high-cost cases. However, this leads to an underestimation of realized savings at the top end of the distribution, therefore, lowering incentives for cost reduction. We show that this trade-off can be weakened by an alternative approach in which cost categories that fall out of the scope of the projects' interventions are excluded from the dependent variable. We find that this approach leads to improvements in precision and model fit that are of the same magnitude as excluding high-cost cases altogether. At the same time, it sharpens the incentives for cost reduction because the model better reflects the costs that projects can affect.

Abstract Demand for long‐term care services is growing strongly. Using a rich administrative data set for Germany, we examine strategic interaction between nonprofit and for‐profit nursing homes. The estimated competitive effects imply that competition is much stronger within type, suggesting that they provide differentiated products. Over time, the entry behavior of for‐profit homes has converged to that of the more established nonprofits and between‐type competition has become stronger. Counterfactual simulations of proposed changes in government policy indicate that even moderate changes have a large impact on the fraction of markets that remain unserved or only served by a single type.

The aim of this study was to describe trends in medication prescriptions dispensed during pregnancy in Belgium using administrative healthcare database records from a representative sample of the Belgian population. Pregnant women were identified with reimbursement codes associated with the delivery of a baby. Data were extracted for three study periods, each over 3 years: 2003-2005, 2009-2011, and 2015-2017. The age-standardized prevalence of dispensed medications during pregnancy were computed and logistic regression models were used to evaluate the trends in prevalence across the study periods. The most frequently dispensed medications were listed for each study period. The study included 23 912 pregnancies. The age-standardized prevalence of pregnant women with at least one dispensed medication increased across the three study periods from 81.8.% to 89.3%. The median number and interquartile range of the different medications dispensed during pregnancy rose from 2 (1-6) to 3 (1-7) between the first and last study periods. In the 2015-2017 period, the most frequently dispensed medications during pregnancy included progesterone (25.5%), paracetamol (17.8%), and amoxicillin (17.1%). The data also showed an increasing trend for the dispensation of ibuprofen and ketorolac during pregnancy across the three study periods. The prevalence of prescribed medications dispensed during pregnancy increased in Belgium from 2003 to 2017 with high proportion for Progesterone and Antibiotics. Utilization of certain nonsteroidal anti-inflammatory drugs (NSAIDs) increased between 2003 and 2017, despite recommendations to avoid them.

BackgroundStarting with early identification of palliative care patients by general practitioners (GPs), the Care Pathway for Primary Palliative Care (CPPPC) is believed to help primary health care workers to deliver patient- and family-centered care in the last year of life. The care pathway has been pilot-tested, and will now be implemented in 5 Belgian regions: 2 Dutch-speaking regions, 2 French-speaking regions and the bilingual capital region of Brussels. The overall aim of the CPPPC is to provide better quality of primary palliative care, and in the end to reduce the hospital death rate.The aim of this article is to describe the quantitative design and innovative data collection strategy used in the evaluation of this complex intervention.Methods/DesignA quasi-experimental stepped wedge cluster design is set up with the 5 regions being 5 non-randomized clusters. The primary outcome is reduced hospital death rate per GPs’ patient population. Secondary outcomes are increased death at home and health care consumption patterns suggesting high quality palliative care.Per research cluster, GPs will be recruited via convenience sampling. These GPs -volunteering to be involved will recruit people with reduced life expectancy and their informal care givers. Health care consumption data in the last year of life, available for all deceased people having lived in the research clusters in the study period, will be used for comparison between patient populations of participating GPs and patient populations of non-participating GPs. Description of baseline characteristics of participating GPs and patients and monitoring of the level of involvement by GPs, patients and informal care givers will happen through regular, privacy-secured web-surveys.Web-survey data and health consumption data are linked in a secure way, respecting Belgian privacy laws.DiscussionTo evaluate this complex intervention, a quasi-experimental stepped wedge cluster design has been set up. Context characteristics and involvement level of participants are important parameters in evaluating complex interventions. It is possible to securely link survey data with health consumption data. By appealing to IT solutions we hope to be able to partly reduce respondent burden, a known problem in palliative care research.Trial registrationClinicalTrials.gov Identifier: NCT02266069.