Publications by authors named "Valerie Moran"

Background: In 2012, Luxembourg introduced a Referring Doctor (RD) policy, whereby patients voluntarily register with a primary care practitioner, who coordinates patients' health care and ensures optimal follow-up. We contribute to the limited evidence base on patient registration by evaluating the effects of the RD policy.

Methods: We used data on 16,775 people with type 2 diabetes on oral medication (PWT2D), enrolled with the Luxembourg National Fund from 2010 to 2018.

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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.

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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.

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Purpose: The increased burden of multimorbidity is restricting individuals' ability to live autonomously, leading to a poorer quality of life. This study estimated trajectories of functional limitation and quality of life among middle-aged (ages 50 to 64 years) and older (aged 65 years and older) individuals with and without multimorbidity. We also assessed differences in the relationship between these two trajectories by multimorbidity status and separately for each age cohort.

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Background: In the older general population, neurodegenerative diseases (NDs) are associated with increased disability, decreased physical and cognitive function. Detecting risk factors can help implement prevention measures. Using deep neural networks (DNNs), a machine-learning algorithm could be an alternative to Cox regression in tabular datasets with many predictive features.

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Objectives: This study had two objectives: (1) to estimate the prevalence of preventable emergency department (ED) visits during the 2016-2020 time period among those living in 19 large urban centers in Alberta and Ontario, Canada, and (2) to assess if the definition of preventable ED visits matters in estimating the prevalence.

Methods: A retrospective, population-based study of ED visits that were reported to the National Ambulatory Care Reporting System from April 1, 2016, to March 31, 2020, was conducted. Preventable ED visits were operationalized based on the following approaches: (1) Canadian Triage and Acuity Scale (CTAS), (2) ambulatory care-sensitive conditions (ACSC), (3) family practice-sensitive conditions (FPSC), and (4) sentinel nonurgent conditions (SNC).

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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.

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The English National Health Service (NHS) constitutes a unique institutional context, which combines elements of hierarchy, markets and networks. This has always raised issues about competing forms of accountability. Recent policy has emphasised a move from quasi market competition towards collaboration in the form of new regional organisational arrangements known as Sustainability and Transformation Partnerships (STPs).

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A challenge facing health systems such as the English National Health Service (NHS), which operate in a context of diversity of provision and scarcity of financial resources, is how organisations engaged in the provision of services can be encouraged to adopt collective resource utilisation strategies to ensure limited resources are utilised in the interests of service users and, in the case of tax funded services, the general public. In this paper the authors apply Elinor Ostrom's work concerning communities' self-governance of common pool resources to the development of collective approaches to the utilisation of resources for the provision of health services. Focusing on the establishment of Sustainability and Transformation Partnerships (STPs) in the English NHS, and drawing on interviews with senior managers in English NHS purchaser and provider organisations, we use Ostrom's work as a frame to analyse STPs, as vehicles to agree and enact shared rules governing the allocation of financial resources, and the role of the state in relation to the development of this collective governance.

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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.

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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.

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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.

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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.

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Funding for mental health services in England faces many challenges including operating under financial constraints where it is not easy to demonstrate the link between activity and funding. Mental health services need to operate alongside and collaborate with acute hospital services where there is a well-established system for paying for . The funding landscape is shifting at a rapid pace and we outline the distinctions between the three main options - block contracts, episodic payment and capitation.

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Objectives: From April 2015, NHS England (NHSE) started to devolve responsibility for commissioning primary care services to clinical commissioning groups (CCGs). The aim of this paper is to explore how CCGs are managing potential conflicts of interest associated with groups of GPs commissioning themselves or their practices to provide services.

Design: We carried out two telephone surveys using a sample of CCGs.

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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.

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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.

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Objectives: Involving general practitioners (GPs) in the commissioning/purchasing of services has been an important element in English health policy for many years. The Health and Social Care Act 2012 handed responsibility for commissioning of the majority of care for local populations to GP-led Clinical Commissioning Groups (CCGs). In this paper, we explore GP attitudes to involvement in commissioning and future intentions for engagement.

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Length-of-stay (LOS) for inpatient mental health care is a major driver of variation in resource use internationally. We explore determinants of LOS in England, focusing on the impact of emergency readmission rates which can serve as a measure of the quality of care. Data for 2009/2010 and 2010/2011 are analysed using hierarchical and non-hierarchical models.

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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.

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Waiting times for elective treatments are a key health-policy concern in several OECD countries. This study describes common measures of waiting times from administrative data across OECD countries. It focuses on common elective procedures, such as hip and knee replacement, and cataract surgery, where waiting times are notoriously long.

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There is a fundamental gap in the evidence base on quantitative cross-country comparison of mental healthcare systems due to the challenges of comparative analysis in mental health including a paucity of good quality data. We explore whether existing limited data sources can potentially be exploited to examine technical efficiency of inpatient mental healthcare systems in 32 OECD countries in 2010. We use two analytical approaches: Data Envelopment Analysis (DEA) with bootstrapping to produce confidence intervals of efficiency scores and country rankings, and Cluster Analysis to group countries according to two broad efficiency groupings.

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