Exploring the association between primary care efficiency and health system characteristics across European countries: a two-stage data envelopment analysis.

BACKGROUND: Primary care is widely seen as a core component of resilient and sustainable health systems, yet its efficiency is not well understood and there is a lack of evidence about how primary care efficiency is associated with health system characteristics. We examine this issue through the lens of diabetes care, which has a well-established evidence base for effective treatment and has previously been used as a tracer condition to measure health system performance. METHODS: We developed a conceptual framework to guide the analysis of primary care efficiency. Using data on 18 European countries during 2010-2016 from several international databases, we applied a two-stage data envelopment analysis to estimate (i) technical efficiency of primary care and (ii) the association between efficiency and health system characteristics. RESULTS: Countries varied widely in terms of primary care efficiency, with efficiency scores depending on the range of population characteristics adjusted for. Higher efficiency was associated with bonus payments for the prevention and management of chronic conditions, nurse-led follow-up, and a financial incentive or requirement for patients to obtain a referral to specialist care. Conversely, lower efficiency was associated with higher rates of curative care beds and financial incentives for patients to register with a primary care provider. CONCLUSIONS: Our results underline the importance of considering differences in population characteristics when comparing country performance on primary care efficiency. We highlight several policies that could enhance the efficiency of primary care. Improvements in data collection would enable more comprehensive assessments of primary care efficiency across countries, which in turn could more effectively inform policymaking.

The role of multimorbidity and socio-economic characteristics as potential risk factors for Long Covid: evidence from the multilevel analysis of the Survey of Health, Ageing and Retirement in Europe's corona surveys (2020-2021).

BACKGROUND: A substantial proportion of individuals continue experiencing persistent symptoms following the acute stage of their Covid-19 illness. However, there is a shortage of population-based studies on Long Covid risk factors. OBJECTIVE: To estimate the prevalence of Long Covid in the population of middle-aged and older Europeans having contracted Covid-19 and to assess the role of multimorbidity and socio-economic characteristics as potential risk factors of Long Covid. METHODS: A population-based longitudinal prospective study involving a sample of respondents 50 years and older (n = 4,004) from 27 countries who participated in the 2020 and 2021 Survey of Health, Ageing and Retirement in Europe (SHARE), in particular the Corona Surveys. Analyses were conducted by a multilevel (random intercept) hurdle negative binomial model. RESULTS: Overall, 71.6% (95% confidence interval = 70.2-73.0%) of the individuals who contracted Covid-19 had at least one symptom of Long Covid up to 12 months after the infection, with an average of 3.06 (standard deviation = 1.88) symptoms. There were significant cross-country differences in the prevalence of Long Covid and number of symptoms. Higher education and being a man were associated with a lower risk of Long Covid, whilst being employed was associated with a higher risk of having Long Covid. Multimorbidity was associated with a higher number of symptoms and older age was associated with a lower number of symptoms. CONCLUSION: Our results provide evidence on the substantial burden of Long Covid in Europe. Individuals who contracted Covid-19 may require long-term support or further medical intervention, putting additional pressure on national health care systems.

Investigating unmet need for healthcare using the European Health Interview Survey: a cross-sectional survey study of Luxembourg.

OBJECTIVES: We investigate the prevalence of unmet need arising from wait times, distance/transportation and financial affordability using the European Health Interview Survey. We explore associations between individual characteristics and the probability of reporting unmet need. DESIGN: Cross-sectional survey conducted between February and December 2014. SETTING AND PARTICIPANTS: 4004 members of the resident population in private households registered with the health insurance fund in Luxembourg aged 15 years and over. OUTCOME MEASURES: Six binary variables that measured unmet need arising from wait time, distance/transportation and affordability of medical, dental and mental healthcare and prescribed medicines among those who reported a need for care. RESULTS: The most common barrier to access arose from wait times (32%) and the least common from distance/transportation (4%). Dental care (12%) was most often reported as unaffordable, followed by prescribed medicines (6%), medical (5%) and mental health (5%) care. Respondents who reported bad/very bad health were associated with a higher risk of unmet need compared with those with good/very good health (wait: OR 2.41, 95% CI 1.53 to 3.80, distance/transportation: OR 7.12, 95% CI 2.91 to 17.44, afford medical care: OR 5.35, 95% CI 2.39 to 11.95, afford dental care: OR 3.26, 95% CI 1.86 to 5.71, afford prescribed medicines: OR 2.22, 95% CI 1.04 to 4.71, afford mental healthcare: OR 3.58, 95% CI 1.25 to 10.30). Income between the fourth and fifth quintiles was associated with a lower risk of unmet need for dental care (OR 0.29, 95% CI 0.16 to 0.53), prescribed medicines (OR 0.38, 95% CI 0.17 to 0.82) and mental healthcare (OR 0.17, 95% CI 0.05 to 0.61) compared with income between the first and second quintiles. CONCLUSIONS: Recent and planned reforms to address waiting times and financial barriers to accessing healthcare may help to address unmet need. In addition, policy-makers should consider additional policies targeted at high-risk groups with poor health and low incomes.

The regulation of competition and procurement in the National Health Service 2015-2018: enduring hierarchical control and the limits of juridification.

Since 1990, market mechanisms have occurred in the predominantly hierarchical National Health Service (NHS). The Health and Social Care Act 2012 led to concerns that market principles had been irrevocably embedded in the NHS and that the regulators would acquire unwarranted power compared with politicians (known as 'juridification'). To assess this concern, we analysed regulatory activity in the period from 2015 to 2018. We explored how economic regulation of the NHS had changed in light of the policy turn back to hierarchy in 2014 and the changes in the legislative framework under Public Contracts Regulations 2015. We found the continuing dominance of hierarchical modes of control was reflected in the relative dominance and behaviour of the sector economic regulator. But there had also been a limited degree of juridification involving the courts. Generally, the regulatory decisions were consistent with the 2014 policy shift away from market principles and with the enduring role of hierarchy in the NHS, but the existing legislative regime did allow the incursion of pro market regulatory decision making, and instances of such decisions were identified.

Examining the use of economic evaluations in health-related humanitarian programmes in low- and middle-income countries: a systematic review.

The costly nature of health sector responses to humanitarian crises and resource constraints means that there is a need to identify methods for priority setting and long-term planning. One method is economic evaluation. The aim of this systematic review is to examine the use of economic evaluations in health-related humanitarian programmes in low- and middle-income countries. This review used peer-reviewed literature published between January 1980 and June 2018 extracted from four main electronic bibliographic databases. The eligibility criteria were full economic evaluations (which compare the costs and outcomes of at least two interventions and provide information on efficiency) of health-related services in humanitarian crises in low- and middle-countries. The quality of eligible studies is appraised using the modified 36-question Drummond checklist. From a total of 8127 total studies, 11 full economic evaluations were identified. All economic evaluations were cost-effectiveness analyses. Three of the 11 studies used a provider perspective, 2 studies used a healthcare system perspective, 3 studies used a societal perspective and 3 studies did not specify the perspective used. The lower quality studies failed to provide 7information on the unit of costs and did not justify the time horizon of costs and discount rates, or conduct a sensitivity analysis. There was limited geographic range of the studies, with 9 of the 11 studies conducted in Africa. Recommendations include greater use of economic evaluation methods and data to enhance the microeconomic understanding of health interventions in humanitarian settings to support greater efficiency and transparency and to strengthen capacity by recruiting economists and providing training in economic methods to humanitarian agencies.

Measuring the Activity of Mental Health Services in England: Variation in Categorising Activity for Payment Purposes.

In the context of international interest in reforming mental health payment systems, national policy in England has sought to move towards an episodic funding approach. Patients are categorised into care clusters, and providers will be paid for episodes of care for patients within each cluster. For the payment system to work, clusters need to be appropriately homogenous in terms of financial resource use. We examine variation in costs and activity within clusters and across health care providers. We find that the large variation between providers with respect to costs within clusters mean that a cluster-based episodic payment system would have substantially different financial impacts across providers.

Achieving integrated care through commissioning of primary care services in the English NHS: a qualitative analysis.

OBJECTIVES: Since April 2015, Clinical Commissioning Groups (CCGs) have taken on the responsibility to commission primary care services. The aim of this paper is to analyse how CCGs have responded to this new responsibility and to identify challenges and factors that facilitated or inhibited achievement of integrated care systems. DESIGN: We undertook an exploratory approach, combining data from interviews and national telephone surveys, with analysis of policy documents and case studies in four CCGs. Data were analysed using thematic content analysis. SETTING/PARTICIPANTS: We reviewed 147 CCG application documents and conducted two national telephone surveys with CCGs (n=49 and n=21). We interviewed 6 senior policymakers and 42 CCG staff who were involved in primary care co-commissioning (general practitioners and managers). We observed 74 primary care commissioning committee meetings and their subgroups (approx. 111 hours). RESULTS: CCGs in our case studies focused their primary care commissioning activities on developing strategic plans, 'new' primary care initiatives, and dealing with legacy work. Many plans focused on incentivising and supporting practices to work together and provide a broad range of services. There was a clear focus on ensuring the sustainability of general practice. Our respondents expressed mixed views as to what new collaborative service models, such as the new models of care and sustainability and transformation partnerships (STPs), would mean for the future of primary care and the impact they could have on CCGs and their members. CONCLUSIONS: There is a disconnect between locally based primary care and the wider system. One of the major challenges we identified is the lack of knowledge and expertise in the field of primary care at STP level. While primary care commissioning by CCGs seems to be supporting local collaborations between practices, there is some way to go before this is translated into broader integration initiatives across wider footprints.

Investigating the relationship between costs and outcomes for English mental health providers: a bi-variate multi-level regression analysis.

Provider payment systems for mental health care that incentivize cost control and quality improvement have been a policy focus in a number of countries. In England, a new prospective provider payment system is being introduced to mental health that should encourage providers to control costs and improve outcomes. The aim of this research is to investigate the relationship between costs and outcomes to ascertain whether there is a trade-off between controlling costs and improving outcomes. The main data source is the Mental Health Minimum Data Set (MHMDS) for the years 2011/12 and 2012/13. Costs are calculated using NHS reference cost data while outcomes are measured using the Health of the Nation Outcome Scales (HoNOS). We estimate a bivariate multi-level model with costs and outcomes simultaneously. We calculate the correlation and plot the pairwise relationship between residual costs and outcomes at the provider level. After controlling for a range of demographic, need, social, and treatment variables, residual variation in costs and outcomes remains at the provider level. The correlation between residual costs and outcomes is negative, but very small, suggesting that cost-containment efforts by providers should not undermine outcome-improving efforts under the new payment system.

Costs and Performance of English Mental Health Providers.

BACKGROUND: Despite limited resources in mental health care, there is little research exploring variations in cost performance across mental health care providers. In England, a prospective payment system for mental health care based on patient needs has been introduced with the potential to incentivise providers to control costs. The units of payment under the new system are 21 care clusters. Patients are allocated to a cluster by clinicians, and each cluster has a maximum review period. AIMS OF THE STUDY: The aim of this research is to explain variations in cluster costs between mental health providers using observable patient demographic, need, social and treatment variables. We also investigate if provider-level variables explain differences in costs. The residual variation in cluster costs is compared across providers to provide insights into which providers may gain or lose under the new financial regime. METHODS: The main data source is the Mental Health Minimum Data Set (MHMDS) for England for the years 2011/12 and 2012/13. Our unit of observation is the period of time spent in a care cluster and costs associated with the cluster review period are calculated from NHS Reference Cost data. Costs are modelled using multi-level log-linear and generalised linear models. The residual variation in costs at the provider level is quantified using Empirical Bayes estimates and comparative standard errors used to rank and compare providers. RESULTS: There are wide variations in costs across providers. We find that variables associated with higher costs include older age, black ethnicity, admission under the Mental Health Act, and higher need as reflected in the care clusters. Provider type, size, occupancy and the proportion of formal admissions at the provider-level are also found to be significantly associated with costs. After controlling for patient- and provider-level variables, significant residual variation in costs remains at the provider level. DISCUSSION AND LIMITATIONS: The results suggest that some providers may have to increase efficiency in order to remain financially viable if providers are paid national fixed prices (tariffs) under the new payment system. Although the classification system for payment is not based on diagnosis, a limitation of the study is the inability to explore the effect of diagnosis due to poor coding in the MHMDS. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: We find that some mental health care providers in England are associated with higher costs of provision after controlling for characteristics of service users and providers. These higher costs may be associated with higher quality care or with inefficient provision of care. IMPLICATIONS FOR HEALTH POLICIES: The introduction of a national tariff is likely to provide a strong incentive to reduce costs. Policies may need to consider safe-guarding local health economies if some providers make substantial losses under the new payment regime. IMPLICATIONS FOR FURTHER RESEARCH: Future research should consider the relationship between costs and quality to ascertain whether reducing costs may potentially negatively impact patient outcomes.

Comparing the performance of English mental health providers in achieving patient outcomes.

Evidence on provider payment systems that incorporate patient outcomes is limited for mental health care. In England, funding for mental health care services is changing to a prospective payment system with a future objective of linking some part of provider payment to outcomes. This research examines performance of mental health providers offering hospital and community services, in order to investigate if some are delivering better outcomes. Outcomes are measured using the Health of the Nation Outcome Scales (HoNOS) - a clinician-rated routine outcome measure (CROM) mandated for national use. We use data from the Mental Health Minimum Data Set (MHMDS) - a dataset on specialist mental health care with national coverage - for the years 2011/12 and 2012/13 with a final estimation sample of 305,960 observations with follow-up HoNOS scores. A hierarchical ordered probit model is used and outcomes are risk adjusted with independent variables reflecting demographic, need, severity and social indicators. A hierarchical linear model is also estimated with the follow-up total HoNOS score as the dependent variable and the baseline total HoNOS score included as a risk-adjuster. Provider performance is captured by a random effect that is quantified using Empirical Bayes methods. We find that worse outcomes are associated with severity and better outcomes with older age and social support. After adjusting outcomes for various risk factors, variations in performance are still evident across providers. This suggests that if the intention to link some element of provider payment to outcomes becomes a reality, some providers may gain financially whilst others may lose. The paper contributes to the limited literature on risk adjustment of outcomes and performance assessment of providers in mental health in the context of prospective activity-based payment systems.

Dental service utilization by Europeans aged 50 plus.

OBJECTIVES: To describe variations in the utilization of dental services by persons aged 50+ from 14 European countries and to identify the extent to which such variations are attributable to differences in oral health need and in accessibility of dental care. METHODS: We use data from the Survey of Health, Ageing, and Retirement in Europe (SHARE Waves 2 and 3) and estimate a series of multivariate logistic regression models to analyze variations in dental service utilization (overall dental attendance, preventive treatment and/or operative treatment, dental attendance in early life years) RESULTS: Overall dental attendance and incidence of solely preventive treatment are comparatively high in the Netherlands, Sweden, Denmark, Germany, and Switzerland. In contrast, overall dental attendance is relatively low in Spain, Italy, France, Greece, Poland, and Ireland. Moreover, a high incidence of solely operative treatment is observed in Austria, Italy, and France, whereas in the Netherlands, Sweden, Denmark, Switzerland, and Ireland, the incidence of solely operative treatment is comparably low. By and large, these variations persist even when controlling for cross-country differences in oral health need and in accessibility of dental care. CONCLUSIONS: In comparison with other European regions, there is a tendency toward more frequent and preventive dental treatment of the elderly populations residing in Scandinavia and Western Europe. Such utilization patterns appear only partially attributable to differences in need for and accessibility of dental care.

Protecting pro-poor health services during financial crises: lessons from experience.

OBJECTIVE: This chapter assesses the extent to which previous economic and financial crises had a negative impact on health outcomes and health financing. In addition, we review evidence related to the effectiveness of different policy measures undertaken in past crises to protect access to health services, especially for the poor and vulnerable. The current global crisis is unique both in terms of its scale and origins. Unlike most previous instances, the current crisis has its origins in developed countries, initially the United States, before it spread to middle- and lower-income countries. The current crisis is now affecting almost all countries at all levels of income. This chapter addresses several key questions aimed at helping inform possible policy responses to the current crisis from the perspective of the health sector: What is the nature of the current crisis and in what ways does it differ from previous experiences? What are some of the key. lessons from previous crises? How have governments responded previously to protect health from such macroeconomic shocks? How can we improve the likelihood of positive action today? METHODOLOGY/APPROACH: The chapter reviews the literature on the impact of financial crises on health outcomes and health expenditures and on the effectiveness of past policy efforts to protect human development during periods of economic downturn. It also presents analysis of household surveys and health expenditure data to track health seeking behavior and out-of-pocket expenditures by households during times of financial crisis. FINDINGS: Evidence from previous crises indicates that health-related impacts during economic downturns can occur through various channels. The impact in households experiencing reductions in employment and income could be manifest in terms of poorer nutritional outcomes and lower levels of utilization of health care when needed. Households may become impoverished, reduce needed health services, and experience reductions in consumption as a result of health shocks occurring during a time when their economic vulnerability has increased. Women, children, the poor, and informal sector workers are likely to be most at risk of experiencing negative health-related consequences in a crisis. Real government spending per capita on health care could decline due to reduced revenues, currency devaluations, and potential reductions in external aid flows. Low-income countries with weak fiscal positions are likely to be the most vulnerable. IMPLICATIONS FOR POLICY: Past crises can inform policy-making aimed at protecting health outcomes and reducing financial risk from health shocks. Evidence from previous crises indicates that broad-brush strategies that maintained overall levels of government health spending tended not to be successful, failing to protect access to quality health services especially for the poor. It is particularly vital to ensure access to essential health commodities, which in many low-income countries are imported, in the face of weakening exchange rates. Focused efforts to sustain the supply of lower-level basic services, combined with targeted demand-side approaches like conditional cash transfers may be more effective than broader sectoral approaches. Low-income countries may need specific short-term measures to ensure that health outcomes do not suffer.