Unraveling the drivers of regional variation in healthcare spending by analyzing prevalent chronic diseases.

To indicate inefficiencies in health systems, previous studies examined regional variation in healthcare spending by analyzing the entire population. As a result, population heterogeneity is taken into account to a limited extent only. Furthermore, it clouds a detailed interpretation which could be used to inform regional budget allocation decisions to improve quality of care of one chronic disease over another. Therefore, we aimed to gain insight into the drivers of regional variation in healthcare spending by studying prevalent chronic diseases

Are low-value care measures up to the task?:A systematic review of the literature

Background Reducing low-value care is a core component of healthcare reforms in many Western countries. A comprehensive and sound set of low-value care measures is needed in order to monitor low-value care use in general and in provider-payer contracts. Our objective was to review the scientific literature on low-value care measurement, aiming to assess the scope and quality of current measures. Methods A systematic review was performed for the period 2010–2015. We assessed the scope of low-value care recommendations and measures by categorizing them according to the Classification of Health Care Functions. Additionally, we assessed the quality of the measures by 1) analysing their development process and the level of evidence underlying the measures, and 2) analysing the evidence regarding the validity of a selected subset of the measures. Results Our search yielded 292 potentially relevant articles. After screening, we selected 23 articles eligible for review. We obtained 115 low-value care measures, of which 87 were concentrated in the cure sector, 25 in prevention and 3 in long-term care. No measures were found in rehabilitative care and health promotion. We found 62 measures from articles that translated low-value care recommendations into measures, while 53 measures were previously developed by institutions as the National Quality Forum. Three measures were assigned the highest level of evidence, as they were underpinned by both guidelines and literature evidence. Our search yielded no information on coding/criterion validity and construct validity for the included measures. Despite this, most measures were already used in practice. Conclusion This systematic review provides insight into the current state of low-value care measures. It shows that more attention is needed for the evidential underpinning and quality of these measures. Clear information about the level of evidence and validity helps to identify measures that truly represent low-value care and are sufficiently qualified to fulfil their aims through quality monitoring and in innovative payer-provider contracts. This will contribute to creating and maintaining the support of providers, payers, policy makers and citizens, who are all aiming to improve value in health care

Shifting hospital care to primary care: An evaluation of cardiology care in a primary care setting in the Netherlands.

In an attempt to deal with the pressures on the healthcare system and to guarantee sustainability, changes are needed. This study is focused on a cardiology Primary Care Plus intervention in which cardiologists provide consultations with patients in a primary care setting in order to prevent unnecessary referrals to the hospital. This study explores which patients with non-acute and low-complexity cardiology-related health complaints should be excluded from Primary Care Plus and referred directly to specialist care in the hospital

The impact of comorbid chronic conditions on quality of life in type 2 diabetes patients

OBJECTIVE: To study the prevalence, impact and dose-response relationship of comorbid chronic conditions on quality of life of type 2 diabetes patients. RESEARCH DESIGN AND METHODS: Cross-sectional data of 1676 type 2 diabetes patients, aged 31-96 years, and treated in primary care, were analyzed. Quality of life (QoL) was measured using the mental component summary (MCS) and the physical component summary (PCS) scores of the Short Form-12. Diagnosis of type 2 diabetes was obtained from medical records and comorbidities from self-reports. RESULTS: Only 361 (21.5%) of the patients reported no comorbidities. Diabetes patients with comorbidities showed significantly lower mean difference in PCS [-8.5; 95% confidence interval (CI) -9.8 to -7.3] and MCS scores (-1.9; 95% CI -3.0 to -0.9), compared to diabetes patients without. Additional adjustments did not substantially change these associations. Both MCS and PCS scores decrease significantly with the number of comorbid conditions, yet most pronounced regarding physical QoL. Comorbidities that reduced physical QoL most significantly were retinopathy, heart diseases, atherosclerosis in abdomen or legs, lung diseases, incontinence, back, neck and shoulder disorder, osteoarthritis and chronic rheumatoid arthritis, using the backwards stepwise regression procedure. CONCLUSION: Comorbidities are highly prevalent among type 2 diabetes patients and have a negative impact on the patient's QoL. A strong dose-response relationship between comorbidities and physical QoL was found. Reduced physical QoL is mainly determined by musculoskeletal and cardiovascular disorders

Stakeholder perspectives on payment reform in maternity care in the Netherlands:A Q-methodology study

Based on theoretical notions, there is consensus that alternative payment models to the common fee-for-service model have the potential to improve healthcare quality through increased collaboration and reduced under- and overuse. This is particularly relevant for maternity care in the Netherlands because perinatal mortality rates are relatively high in comparison to other Western countries. Therefore, an experiment with bundled payments for maternity care was initiated in 2017. However, the uptake of this alternative payment model remains low, as also seen in other countries, and fee-for-service models prevail. A deeper understanding of stakeholders’ perspectives on payment reform in maternity care is necessary to inform policy makers about the obstacles to implementing alternative payment models and potential ways forward. We conducted a Q-methodology study to explore perspectives of stakeholders (postpartum care managers, midwives, gynecologists, managers, health insurers) in maternity care in the Netherlands on payment reform. Participants were asked to rank a set of statements relevant to payment reform in maternity care and explain their ranking during an interview. Factor analysis was used to identify patterns in the rankings of statements. We identified three distinct perspectives on payment reform in maternity care. One general perspective, broadly supported within the sector, focusing mainly on outcomes, and two complementary perspectives, one focusing more on equality and one focusing more on collaboration. This study shows there is consensus among stakeholders in maternity care in the Netherlands that payment reform is required. However, stakeholders have different views on the purpose and desired design of the payment reform and set different conditions. Working towards payment reform in co-creation with all involved parties may improve the general attitude towards payment reform, may enhance the level of trust among stakeholders, and may contribute to a higher uptake in practice.</p

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, indepth, understanding of key design elements and how they operate into different health settings is required to shape payment reform that aligns with its goals.Prevention, Population and Disease management (PrePoD)Public Health and primary car

Harvesting the wisdom of the crowd: using online ratings to explore care experiences in regions.

Regional population health management (PHM) initiatives need an understanding of regional patient experiences to improve their services. Websites that gather patient ratings have become common and could be a helpful tool in this effort. Therefore, this study explores whether unsolicited online ratings can provide insight into (differences in) patient's experiences at a (regional) population level

Socioeconomic inequalities in the uptake of postpartum care at home across Dutch neighbourhoods

BACKGROUND: Postpartum care focuses on prevention of health problems by performing medical check-ups and through enhancing maternal empowerment, the parent-infant interaction and knowledge about mother's own health and that of her newborn. We aimed to investigate whether there was significant clustering within neighbourhoods regarding the uptake of postpartum care and to what extent neighbourhood-level differences are explained by individual socio-demographic factors, pregnancy-related factors and neighbourhood-level determinants (i.e. deprivation and urbanization).METHODS: A nationwide population-based observational study was carried out using linked routinely collected healthcare data from appropriate-for-gestational-age weight live-born term singleton deliveries (2015-18) in the Netherlands. We performed two-level multivariable logistic regression analyses, using three different models. Model 1 contained no explanatory variables and was used to assess clustering of postpartum care uptake within neighbourhoods. In model 2, individual-level determinants were added one by one and in model 3, neighbourhood-level determinants were added.RESULTS: About 520 818 births were included. Multilevel modelling showed that 11% of the total variance in postpartum care uptake could be attributed to the neighbourhood of residence. Individual characteristics explained 38% of the neighbourhood variance, of which income and migration background were the most important contributors. An additional 6% of the variation could be explained by neighbourhood-level determinants.CONCLUSION: We found substantial neighbourhood differences in postpartum care uptake. These differences are influenced by a complex interplay between individual-level and neighbourhood-level determinants, highlighting the importance of addressing both individual and neighbourhood-level determinants to improve the uptake of postpartum care and therewith overall community health.</p

Socioeconomic inequalities in the uptake of postpartum care at home across Dutch neighbourhoods

BACKGROUND: Postpartum care focuses on prevention of health problems by performing medical check-ups and through enhancing maternal empowerment, the parent-infant interaction and knowledge about mother's own health and that of her newborn. We aimed to investigate whether there was significant clustering within neighbourhoods regarding the uptake of postpartum care and to what extent neighbourhood-level differences are explained by individual socio-demographic factors, pregnancy-related factors and neighbourhood-level determinants (i.e. deprivation and urbanization).METHODS: A nationwide population-based observational study was carried out using linked routinely collected healthcare data from appropriate-for-gestational-age weight live-born term singleton deliveries (2015-18) in the Netherlands. We performed two-level multivariable logistic regression analyses, using three different models. Model 1 contained no explanatory variables and was used to assess clustering of postpartum care uptake within neighbourhoods. In model 2, individual-level determinants were added one by one and in model 3, neighbourhood-level determinants were added.RESULTS: About 520 818 births were included. Multilevel modelling showed that 11% of the total variance in postpartum care uptake could be attributed to the neighbourhood of residence. Individual characteristics explained 38% of the neighbourhood variance, of which income and migration background were the most important contributors. An additional 6% of the variation could be explained by neighbourhood-level determinants.CONCLUSION: We found substantial neighbourhood differences in postpartum care uptake. These differences are influenced by a complex interplay between individual-level and neighbourhood-level determinants, highlighting the importance of addressing both individual and neighbourhood-level determinants to improve the uptake of postpartum care and therewith overall community health.</p