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1.
Soc Sci Med ; 348: 116801, 2024 May.
Article in English | MEDLINE | ID: mdl-38564957

ABSTRACT

Devolution and decentralisation policies involving health and other government sectors have been promoted with a view to improve efficiency and equity in local service provision. Evaluations of these reforms have focused on specific health or care measures, but little is known about their full impact on local health systems. We evaluated the impact of devolution in Greater Manchester (England) on multiple outcomes using a whole system approach. We estimated the impact of devolution until February 2020 on 98 measures of health system performance, using the generalised synthetic control method and adjusting for multiple hypothesis testing. We selected measures from existing monitoring frameworks to populate the WHO Health System Performance Assessment framework. The included measures captured information on health system functions, intermediatory objectives, final goals, and social determinants of health. We identified which indicators were targeted in response to devolution from an analysis of 170 health policy intervention documents. Life expectancy (0.233 years, S.E. 0.012) and healthy life expectancy (0.603 years, S.E. 0.391) increased more in GM than in the estimated synthetic control group following devolution. These increases were driven by improvements in public health, primary care, hospital, and adult social care services as well as factors associated with social determinants of health, including a reduction in alcohol-related admissions (-110.1 admission per 100,000, S.E. 9.07). In contrast, the impact on outpatient, mental health, maternity, and dental services was mixed. Devolution was associated with improved population health, driven by improvements in health services and wider social determinants of health. These changes occurred despite limited devolved powers over health service resources suggesting that other mechanisms played an important role, including the allocation of sustainability and transformation funding and the alignment of decision-making across health, social care, and wider public services in the region.


Subject(s)
Goals , Organizational Case Studies , Outcome Assessment, Health Care , England/epidemiology , State Medicine/organization & administration , State Medicine/trends , Organizational Case Studies/statistics & numerical data , Public Health/standards , Public Health/statistics & numerical data , Social Determinants of Health/statistics & numerical data , Outpatients/statistics & numerical data , Maternal Health Services/statistics & numerical data , Dental Health Services/statistics & numerical data , Age Distribution , Primary Health Care/statistics & numerical data , Emergency Medicine/statistics & numerical data , Inpatients/statistics & numerical data , Social Support/statistics & numerical data , Mental Health Services/statistics & numerical data , Patient Care/statistics & numerical data , Humans , Male , Female , Adult , Adolescent , Young Adult , Middle Aged , Aged
2.
Value Health ; 27(5): 623-632, 2024 May.
Article in English | MEDLINE | ID: mdl-38369282

ABSTRACT

OBJECTIVES: Evidence about the comparative effects of new treatments is typically collected in randomized controlled trials (RCTs). In some instances, RCTs are not possible, or their value is limited by an inability to capture treatment effects over the longer term or in all relevant population subgroups. In these cases, nonrandomized studies (NRS) using real-world data (RWD) are increasingly used to complement trial evidence on treatment effects for health technology assessment (HTA). However, there have been concerns over a lack of acceptability of this evidence by HTA agencies. This article aims to identify the barriers to the acceptance of NRS and steps that may facilitate increases in the acceptability of NRS in the future. METHODS: Opinions of the authorship team based on their experience in real-world evidence research in academic, HTA, and industry settings, supported by a critical assessment of existing studies. RESULTS: Barriers were identified that are applicable to key stakeholder groups, including HTA agencies (eg, the lack of comprehensive methodological guidelines for using RWD), evidence generators (eg, avoidable deviations from best practices), and external stakeholders (eg, data controllers providing timely access to high-quality RWD). Future steps that may facilitate future acceptability of NRS include improvements in the quality, integration, and accessibility of RWD, wider use of demonstration projects to highlight the value and applicability of nonrandomized designs, living, and more detailed HTA guidelines, and improvements in HTA infrastructure relating to RWD. CONCLUSION: NRS can represent a crucial source of evidence on treatment effects for use in HTA when RCT evidence is limited.


Subject(s)
Technology Assessment, Biomedical , Humans , Research Design , Treatment Outcome
3.
Pharmacoeconomics ; 42(2): 165-176, 2024 Feb.
Article in English | MEDLINE | ID: mdl-37891433

ABSTRACT

Internal validity is often the primary concern for health technology assessment agencies when assessing comparative effectiveness evidence. However, the increasing use of real-world data from countries other than a health technology assessment agency's target population in effectiveness research has increased concerns over the external validity, or "transportability", of this evidence, and has led to a preference for local data. Methods have been developed to enable a lack of transportability to be addressed, for example by accounting for cross-country differences in disease characteristics, but their consideration in health technology assessments is limited. This may be because of limited knowledge of the methods and/or uncertainties in how best to utilise them within existing health technology assessment frameworks. This article aims to provide an introduction to transportability, including a summary of its assumptions and the methods available for identifying and adjusting for a lack of transportability, before discussing important considerations relating to their use in health technology assessment settings, including guidance on the identification of effect modifiers, guidance on the choice of target population, estimand, study sample and methods, and how evaluations of transportability can be integrated into health technology assessment submission and decision processes.


Subject(s)
Technology Assessment, Biomedical , Humans , Uncertainty
4.
Health Policy ; 138: 104933, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37913582

ABSTRACT

Whole-system reforms, including devolution and integration of health and social care services, have the potential to impact multiple dimensions of health system performance. Most evaluations focus on a single or narrow subsets of outcomes amenable to change. This approach may not: (i) capture the overall effect of the reform, (ii) identify the mechanisms through which system-wide changes may have occurred, (iii) prevent post-hoc selection of outcomes based on significant results; and (iv) facilitate comparisons across settings. We propose a structured approach for selecting multiple quantitative outcome measures, which we apply for evaluating health and social care devolution in Greater Manchester, England. The approach consists of five-steps: (i) defining outcome domains based on a framework, in our case the World Health Organisation's Health System Performance Assessment Framework; (ii) reviewing performance metrics from national monitoring frameworks; (iii) excluding similar and condition specific outcomes; (iv) excluding outcomes with insufficient data; and (v) mapping implemented policies to identify a subset of targeted outcomes. We identified 99 outcomes, of which 57 were targeted. The proposed approach is detail and time-intensive, but useful for both researchers and policymakers to promote transparency in evaluations and facilitate the interpretation of findings and cross-settings comparisons.


Subject(s)
Delivery of Health Care , Social Work , England , Delivery of Health Care/organization & administration , Social Work/organization & administration
5.
Lancet Public Health ; 7(10): e844-e852, 2022 10.
Article in English | MEDLINE | ID: mdl-36182234

ABSTRACT

BACKGROUND: The devolution of public services from central to local government can increase sensitivity to local population needs but might also reduce the expertise and resources available. Little evidence is available on the impact of devolution on population health. We evaluated the effect of devolution affecting health services and wider determinants of health on life expectancy in Greater Manchester, England. METHODS: We estimated changes in life expectancy in Greater Manchester relative to a control group from the rest of England (excluding London), using a generalised synthetic control method. Using local district-level data collected between Jan 1, 2006 and Dec 31, 2019, we estimated the effect of devolution on the whole population and stratified by sex, district, income deprivation, and baseline life expectancy. FINDINGS: After devolution, from November, 2014, life expectancy in Greater Manchester was 0·196 years (95% CI 0·182-0·210) higher than expected when compared with the synthetic control group with similar pre-devolution trends. Life expectancy was protected from the decline observed in comparable areas in the 2 years after devolution and increased in the longer term. Increases in life expectancy were observed in eight of ten local authorities, were larger among men than women (0·338 years [0·315-0·362] for men; 0·057 years [0·040-0·074] for women), and were larger in areas with high income deprivation (0·390 years [0·369-0·412]) and lower life expectancy before devolution (0·291 years [0·271-0·311]). INTERPRETATION: Greater Manchester had better life expectancy than expected after devolution. The benefits of devolution were apparent in the areas with the highest income deprivation and lowest life expectancy, suggesting a narrowing of inequalities. Improvements were likely to be due to a coordinated devolution across sectors, affecting wider determinants of health and the organisation of care services. FUNDING: The Health Foundation and the National Institute for Health and Care Research.


Subject(s)
Health Status Disparities , Poverty Areas , England/epidemiology , Female , Humans , Income , Life Expectancy , Male
6.
J Health Econ ; 85: 102668, 2022 09.
Article in English | MEDLINE | ID: mdl-35964420

ABSTRACT

In publicly-funded healthcare systems, waiting times for care should be based on need rather than ability to pay. Studies have shown that individuals with lower socioeconomic status face longer waits for planned inpatient care, but there is little evidence on inequalities in waiting times for emergency care. We study waiting times in emergency departments (EDs) following arrival by ambulance, where health consequences of extended waits may be severe. Using data from all major EDs in England during the 2016/17 financial year, we find patients from more deprived areas face longer waits during some parts of the ED care pathway. Inequalities in waits are small, but more deprived individuals also receive less complex ED care, are less likely to be admitted for inpatient care, and are more likely to re-attend ED or die shortly after attendance. Patient-physician interactions and unconscious bias towards more deprived patients may be important sources of inequalities.


Subject(s)
Emergency Service, Hospital , Social Class , England , Hospitalization , Humans
7.
Soc Sci Med ; 292: 114522, 2022 01.
Article in English | MEDLINE | ID: mdl-34763967

ABSTRACT

Social and emotional skills are known to affect health and non-health outcomes, but there is limited evidence on whether these skills in childhood affect late life outcomes because of a shortage of long-running datasets containing this information. We develop a three-stage procedure and use it to estimate the effect of childhood social and emotional skills on health and labour market outcomes in late-life. This procedure makes use of mediators in midlife which are shown to be predicted by childhood skills in one dataset and to predict late-life outcomes in another dataset. We use this method to combine estimates from the National Child Development Survey and the British Household Panel Survey. We find that childhood skills predict marital status, education, home ownership, income and health at age 46 years and these midlife variables predict levels of quality-adjusted life years and labour income accumulated by age 63 years. The combined estimates suggest a standard deviation increase in average Bristol Social Adjustment Guide total score at ages 7 and 11 is associated with 4.2% (standard error = 0.6%) additional quality-adjusted life years and more than 9.9% (£14,539, standard error = £2072) additional accumulated pre-tax earnings by age 63 years. Therefore, childhood interventions to increase social and emotional skills would be expected to reduce future healthcare costs and increase wealth. Our three-stage methodology can be used to predict the life-course effects of investments in childhood skills by combining results from datasets across population cohorts.


Subject(s)
Emotions , Income , Child , Educational Status , Humans , Middle Aged , Quality-Adjusted Life Years , Social Adjustment
8.
Econ Hum Biol ; 43: 101059, 2021 12.
Article in English | MEDLINE | ID: mdl-34560473

ABSTRACT

Studies examining the later-life health consequences of in-utero exposure to influenza have typically estimated effects on physical health conditions, with little evidence of effects on mental health outcomes or mortality. Previous studies have also relied primarily on reduced-form estimates of the effects of exposure to influenza pandemics, meaning they are unlikely to recover effects of influenza exposure at an individual-level. This paper uses inverse probability of treatment weighting and "doubly-robust" methods alongside rare mother-reported data on in-utero influenza exposure to estimate the individual-level effect of in-utero influenza exposure on mental health and mortality risk throughout childhood and adulthood. We find that in-utero exposure to influenza is associated with small reductions in mental health in mid-childhood, driven by increases in internalising symptoms, and increases in depressive symptoms in mid-life for males. There is also evidence that in-utero influenza exposure is associated with substantial increases in mortality, although these effects are primarily driven by a 75% increase in the probability of being stillborn, with limited evidence of additional survival disadvantages at later ages. The potential for mortality selection implies that estimated effects on mental health outcomes are likely to represent a lower bound.


Subject(s)
Influenza, Human , Prenatal Exposure Delayed Effects , Adult , Child , Humans , Influenza, Human/epidemiology , Male , Mental Health , Pandemics , Prenatal Exposure Delayed Effects/epidemiology , Probability
9.
BMC Med ; 19(1): 71, 2021 03 05.
Article in English | MEDLINE | ID: mdl-33663498

ABSTRACT

BACKGROUND: To estimate excess mortality for care home residents during the COVID-19 pandemic in England, exploring associations with care home characteristics. METHODS: Daily number of deaths in all residential and nursing homes in England notified to the Care Quality Commission (CQC) from 1 January 2017 to 7 August 2020. Care home-level data linked with CQC care home register to identify home characteristics: client type (over 65s/children and adults), ownership status (for-profit/not-for-profit; branded/independent) and size (small/medium/large). Excess deaths computed as the difference between observed and predicted deaths using local authority fixed-effect Poisson regressions on pre-pandemic data. Fixed-effect logistic regressions were used to model odds of experiencing COVID-19 suspected/confirmed deaths. RESULTS: Up to 7 August 2020, there were 29,542 (95% CI 25,176 to 33,908) excess deaths in all care homes. Excess deaths represented 6.5% (95% CI 5.5 to 7.4%) of all care home beds, higher in nursing (8.4%) than residential (4.6%) homes. 64.7% (95% CI 56.4 to 76.0%) of the excess deaths were confirmed/suspected COVID-19. Almost all excess deaths were recorded in the quarter (27.4%) of homes with any COVID-19 fatalities. The odds of experiencing COVID-19 attributable deaths were higher in homes providing nursing services (OR 1.8, 95% CI 1.6 to 2.0), to older people and/or with dementia (OR 5.5, 95% CI 4.4 to 6.8), amongst larger (vs. small) homes (OR 13.3, 95% CI 11.5 to 15.4) and belonging to a large provider/brand (OR 1.2, 95% CI 1.1 to 1.3). There was no significant association with for-profit status of providers. CONCLUSIONS: To limit excess mortality, policy should be targeted at care homes to minimise the risk of ingress of disease and limit subsequent transmission. Our findings provide specific characteristic targets for further research on mechanisms and policy priority.


Subject(s)
COVID-19 , Health Services for the Aged , Homes for the Aged/statistics & numerical data , Nursing Homes/statistics & numerical data , Quality of Health Care , Residential Facilities/statistics & numerical data , Aged , Aged, 80 and over , COVID-19/mortality , COVID-19/prevention & control , COVID-19/therapy , Cohort Studies , England/epidemiology , Female , Health Services Needs and Demand , Health Services for the Aged/organization & administration , Health Services for the Aged/standards , Humans , Male , Mortality , SARS-CoV-2
10.
BMJ Open Qual ; 9(4)2020 12.
Article in English | MEDLINE | ID: mdl-33328317

ABSTRACT

BACKGROUND: Over the past decade, targeting acute kidney injury (AKI) has become a priority to improve patient safety and health outcomes. Illness complicated by AKI is common and is associated with adverse outcomes including high rates of unplanned hospital readmission. Through national patient safety directives, NHS England has mandated the implementation of an AKI clinical decision support system in hospitals. In order to improve care following AKI, hospitals have also been incentivised to improve discharge summaries and general practices are recommended to establish registers of people who have had an episode of illness complicated by AKI. However, to date, there is limited evidence surrounding the development and impact of interventions following AKI. DESIGN: We conducted a quality improvement project in primary care aiming to improve the management of patients following an episode of hospital care complicated by AKI. All 31 general practices within a single NHS Clinical Commissioning Group were incentivised by a locally commissioned service to engage in audit and feedback, education training and to develop an action plan at each practice to improve management of AKI. RESULTS: AKI coding in general practice increased from 28% of cases in 2015/2016 to 50% in 2017/2018. Coding of AKI was associated with significant improvements in downstream patient management in terms of conducting a medication review within 1 month of hospital discharge, monitoring kidney function within 3 months and providing written information about AKI to patients. However, there was no effect on unplanned hospitalisation and mortality. CONCLUSION: The findings suggest that the quality improvement intervention successfully engaged a primary care workforce in AKI-related care, but that a higher intensity intervention is likely to be required to improve health outcomes. Development of a real-time audit tool is necessary to better understand and minimise the impact of the high mortality rate following AKI.


Subject(s)
Acute Kidney Injury , Patient Discharge , Quality Improvement , Acute Kidney Injury/epidemiology , Acute Kidney Injury/therapy , Aftercare , Humans , Primary Health Care
11.
Health Econ ; 29(12): 1744-1763, 2020 12.
Article in English | MEDLINE | ID: mdl-32978879

ABSTRACT

Crowding in emergency departments (EDs) is increasing in many health systems. Previous studies of the relationship between crowding and care quality are limited by the use of data from single hospitals, a focus on particular patient groups, a focus on a narrow set of quality measures, and use of crowding measures which induce bias from unobserved hospital and patient characteristics. Using data from 139 hospitals covering all major EDss in England, we measure crowding using quasi-exogenous variation in the volume of EDs attendances and examine its impacts on indicators of performance across the entire EDs care pathway. We exploit variations from expected volume estimated using high-dimensional fixed effects capturing hospital-specific variation in attendances by combinations of month and hour-of-the-week. Unexpected increases in attendance volume result in substantially longer waiting times, lower quantity and complexity of care, more patients choosing to leave without treatment, changes in referral and discharge decisions, but only small increases in reattendances and no increase in mortality. Causal bounds under potential omitted variable bias are narrow and exclude zero for the majority of outcomes. Results suggest that physician and patient responses may largely mitigate the impacts of demand increases on patient outcomes in the short-run.


Subject(s)
Crowding , Emergency Service, Hospital , England , Hospitals , Humans , Referral and Consultation
12.
Appl Health Econ Health Policy ; 18(2): 271-285, 2020 04.
Article in English | MEDLINE | ID: mdl-31347016

ABSTRACT

BACKGROUND: School-based social and emotional learning interventions can improve wellbeing and educational attainment in childhood. However, there is no evidence on their effects on health-related quality of life (HRQoL) or on their cost effectiveness. OBJECTIVE: Our objective was to evaluate the cost effectiveness of the Promoting Alternative Thinking Strategies (PATHS) curriculum. METHODS: A prospective economic evaluation was conducted alongside a cluster-randomised controlled trial of the PATHS curriculum implemented in the Greater Manchester area of England. In total, 23 schools (n = 2676 children) were randomised to receive PATHS, and 22 schools (n = 2542 children) were randomised to continue with usual practice. A UK health service perspective and a 2-year time horizon were used. HRQoL data were collected prospectively from all children in the trial via the Child Health Utility Nine-Dimension questionnaire. Micro-costing was undertaken to estimate the intervention costs. Missing data were imputed using multiple imputation. RESULTS: The mean incremental cost of the PATHS curriculum compared with usual practice was £32.01 per child, and mean incremental quality-adjusted life-years (QALYs) were positive (0.0019; 95% confidence interval [CI] 0.0009-0.0029). Assuming a willingness-to-pay threshold of £20,000 per QALY, the expected incremental net benefit of introducing the PATHS curriculum was £5.56 per child (95% CI - 14.68 to 25.81), and the probability of cost effectiveness was 84%. However, this probability fell to 0% when intervention costs included teacher's salary costs. CONCLUSION: The PATHS curriculum has the potential to be cost effective at standard UK willingness-to-pay thresholds. However, the sensitivity of the cost-effectiveness estimates to key assumptions means decision makers should seek further information before allocating scarce public resources. TRIAL REGISTRATION NUMBER: ISRCTN85087674.


Subject(s)
Curriculum , Emotions , Schools , Social Learning , Thinking , Child , Cluster Analysis , Cost-Benefit Analysis , England , Female , Humans , Male , Prospective Studies , Quality of Life
13.
Soc Sci Med ; 150: 95-103, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26741271

ABSTRACT

Older people who live alone are a growing, high-cost group for health and social services. The literature on how living alone affects health and the costs and benefits of healthcare has focused on crude measures of health and utilisation and gives little consideration to other cost determinants and aspects of patient experience. We study the effect of living alone at each stage along an entire treatment pathway using a large dataset which provides information on pre-treatment experience, treatment benefits and costs of surgery for 105,843 patients receiving elective hip and knee replacements in England in 2009 and 2010. We find that patients who live alone are healthier prior to treatment and experience the same gains from treatment. However, living alone is associated with a 9.2% longer length of in-hospital stay and increased probabilities of readmission and discharge to expensive destinations. These increase the costs per patient by £179.88 (3.12%) and amount to an additional £4.9 million per annum. A lack of post-discharge support for those living alone is likely to be a key driver of these additional costs.


Subject(s)
Cost-Benefit Analysis/standards , Length of Stay/economics , Patient Discharge/economics , Residence Characteristics , Single Person/statistics & numerical data , Aged , Aged, 80 and over , Cost of Illness , England , Female , Humans , Male , Middle Aged , Single Person/psychology , Social Behavior
14.
N Engl J Med ; 371(6): 540-8, 2014 Aug 07.
Article in English | MEDLINE | ID: mdl-25099578

ABSTRACT

BACKGROUND: A pay-for-performance program based on the Hospital Quality Incentive Demonstration was introduced in all hospitals in the northwest region of England in 2008 and was associated with a short-term (18-month) reduction in mortality. We analyzed the long-term effects of this program, called Advancing Quality. METHODS: We analyzed 30-day in-hospital mortality among 1,825,518 hospital admissions for eight conditions, three of which were covered by the financial-incentive program. The hospitals studied included the 24 hospitals in the northwest region that were participating in the program and 137 elsewhere in England that were not participating. We used difference-in-differences regression analysis to compare risk-adjusted mortality for an 18-month period before the program was introduced with subsequent mortality in the short term (the first 18 months of the program) and the longer term (the next 24 months). RESULTS: Throughout the short-term and the long-term periods, the performance of hospitals in the incentive program continued to improve and mortality for the three conditions covered by the program continued to fall. However, the reduction in mortality among patients with these conditions was greater in the control hospitals (those not participating in the program) than in the hospitals that were participating in the program (by 0.7 percentage points; 95% confidence interval [CI], 0.3 to 1.2). By the end of the 42-month follow-up period, the reduced mortality in the participating hospitals was no longer significant (-0.1 percentage points; 95% CI, -0.6 to 0.3). From the short term to the longer term, the mortality for conditions not covered by the program fell more in the participating hospitals than in the control hospitals (by 1.2 percentage points; 95% CI, 0.4 to 2.0), raising the possibility of a positive spillover effect on care for conditions not covered by the program. CONCLUSIONS: Short-term relative reductions in mortality for conditions linked to financial incentives in hospitals participating in a pay-for-performance program in England were not maintained.


Subject(s)
Economics, Hospital , Hospital Mortality/trends , Quality Assurance, Health Care/economics , Quality Indicators, Health Care , Reimbursement, Incentive , England/epidemiology , Hospitalization , Hospitals/standards , Humans , Logistic Models , Time
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