Turning a crisis into a policy opportunity: lessons learned so far and next steps in the Dutch early years strategy

A data-driven population health management approach: The Extramural LUMC Academic Network data infrastructure

Improving population health and reducing inequalities through better integrated health and social care services is high up on the agenda of policymakers internationally. In recent years, regional cross-domain partnerships have emerged in several countries, which aim to achieve better population health, quality of care and a reduction in the per capita costs. These cross-domain partnerships aim to have a strong data foundation and are committed to continuous learning in which data plays an essential role. This paper describes our approach towards the development of the regional integrative population-based data infrastructure Extramural LUMC (Leiden University Medical Center) Academic Network (ELAN), in which we linked routinely collected medical, social and public health data at the patient level from the greater The Hague and Leiden area. Furthermore, we discuss the methodological issues of routine care data and the lessons learned about privacy, legislation and reciprocities. The initiative presented in this paper is relevant for international researchers and policy-makers because a unique data infrastructure has been set up that contains data across different domains, providing insights into societal issues and scientific questions that are important for data driven population health management approaches.

Monitoring the Dutch Solid Start Program: Developing an Indicator Set for Municipalities to Monitor their First Thousand Days-Approach

INTRODUCTION

The Dutch Solid Start program aims to improve the collaboration between the medical and social sector to offer every child the best start in life. Municipalities form local coalitions of partners within the medical and social sector to support parents and children during the first thousand days. The aim of this study was to develop an indicator set for coalitions to monitor their local Solid Start program.

METHODS

A modified Delphi study with three rounds was carried out among Dutch experts in Solid Start practice, policy and research (n = 39) to reach consensus.

RESULTS

The indicator set included 19 indicators covering the three phases of the Solid Start program: preconception, pregnancy and after birth (up to two years). Prioritized indicators included both social and medical topics, among which poverty, psychological/psychiatric problems, stress, smoking, cumulation of risk factors, preconception care, low literacy, premature birth, and intellectual disability. Additionally, a development agenda was established with topics and indicators that lacked data or clear operationalization (e.g. stress, unintended pregnancy, loneliness).

DISCUSSION AND CONCLUSION

The developed indicator set enhances the conversation between policymakers, managers, professionals and other stakeholders about the local situation and developments in order to prioritize interventions and policies. Next, the indicator set needs evaluation to assess its usefulness.

A Scoping Review of Alternative Payment Models in Maternity Care: Insights in Key Design Elements and Effects on Health and Spending

INTRODUCTION

Although effects of alternative payment models on health outcomes and health spending are unclear, they are increasingly implemented in maternity care. We aimed to provide an overview of alternative payment models implemented in maternity care, describing their key design elements among which the type of APM, the care providers that participate in the model, populations and care services that are included and the applied risk mitigation strategies. Next to that, we made an inventory of the empirical evidence on the effects of APMs on maternal and neonatal health outcomes and spending on maternity care.

METHODS

We searched PubMed, Embase and Scopus databases for articles published from January 2007 through October 2020. Search key words included 'alternative payment model', 'value based payment model', 'obstetric', 'maternity'. English or Dutch language articles were included if they described or empirically evaluated initiatives implementing alternative payment models in maternity care in high-income countries. Additional relevant documents were identified through reference tracking. We systematically analyzed the initiatives found and examined the evidence regarding health outcomes and health spending. The process was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) to ensure validity and reliability.

RESULTS

We identified 17 initiatives that implemented alternative payment models in maternity care. Thirteen in the United States, two in the United Kingdom, one in New Zealand and one in the Netherlands. Within these initiatives three types of alternative payment models were implemented; pay-for-performance (n = 2), shared savings models (n = 7) and bundled payment models (n = 8). Alternative payment models that shifted more financial accountability towards providers seemed to include more strategies that mitigated those risks. Risk mitigation strategies were applied to the included population, included services or at the level of total expenditures. Of these seventeen initiatives, we found four empirical effect studies published in peer-reviewed journals. Three of them were of moderate quality and one weak. Two studies described an association of the alternative payment model with an improvement of specific health outcomes and two studies described a reduction in medical spending.

CONCLUSIONS

This study shows that key design elements of alternative payment models including risk mitigation strategies vary highly. Risk mitigation strategies seem to be relevant tools to increase APM uptake and protect providers from (initially) bearing too much (perceived) financial risk. Empirical evidence on the effects of APMs on health outcomes and spending is still limited. A clear definition of key design elements and a further, in-depth, understanding of key design elements and how they operate into different health settings is required to shape payment reform that aligns with its goals.