0000000000039838

AUTHOR

Mauro Laudicella

0000-0001-5322-4452

showing 10 related works from this author

Effects of the Blair/Brown NHS Reforms on Socioeconomic Equity in Health Care

2012

The central objectives of the ‘Blair/Brown’ reforms of the English NHS in the 2000s were to reduce hospital waiting times and improve the quality of care. However, critics raised concerns that the choice and competition elements of reform might undermine socioeconomic equity in health care. By contrast, the architects of reform predicted that accelerated growth in NHS spending combined with increased patient choice of hospital would enhance equity for poorer patients. This paper draws together and discusses the findings of three large-scale national studies designed to shed empirical light on this issue. Study one developed methods for monitoring change in neighbourhood level socioeconomic…

Waiting timeEconomic growthEconomic CompetitionEquity (economics)Hospitals Publicbusiness.industryHealth PolicyPublic Health Environmental and Occupational HealthState MedicineHealth equityBlair/Brown NHS reforms inequality in healthIncentiveEnglandSocioeconomic FactorsSettore SECS-P/03 - Scienza Delle FinanzeHealth Care ReformHealth careEconomicsHumansHealth Services ResearchHealthcare DisparitiesQuality of carebusinessSocioeconomic statusJournal of Health Services Research & Policy
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Measuring change in health care equity using small area administrative data – evidence from the English NHS 2001-8

2011

This study developed a method for measuring change in socio-economic equity in health care utilisation using small area level administrative data. Our method provides more detailed information on utilisation than survey data but only examines socio-economic differences between neighbourhoods rather than individuals. The context was the English NHS from 2001 to 2008, a period of accelerated expenditure growth and pro-competition reform. Hospital records for all adults receiving non-emergency hospital care in the English NHS from 2001 to 2008 were aggregated to 32,482 English small areas with mean population about 1,500 and combined with other small area administrative data. Regression models…

Health Services Needs and DemandHealthcare DisparitieEnglandSocioeconomic FactorsEquity in Health CareUKHealth Services AccessibilitySmall-Area Analysi
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What is the impact of rerouting a cancer diagnosis from emergency presentation to GP referral on resource use and survival? Evidence from a populatio…

2018

Background Studies on alternative routes to diagnosis stimulated successful policy interventions reducing the number of emergency diagnoses and associated mortality risk. A dearth of evidence on the costs of such interventions might prevent new policies from achieving more ambitious targets. Methods We conducted a retrospective cohort study on the population of colorectal (88,051), breast (90,387), prostate (96,219), and lung (97,696) cancer patients diagnosed after a GP referral or an emergency presentation and reported in the Cancer Registry of England. Resource use and survival were compared 1 year before and 5 years after diagnosis (3 years for lung), including the costs of GP referrals…

Emergency Medical ServicesCancer ResearchSurvival0302 clinical medicineNeoplasmsEmergency medical services1306030212 general & internal medicineMedical diagnosisReferral and Consultationeducation.field_of_study1311Health Care CostsEarly diagnosilcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensPrognosisEarly diagnosisPrimary careRoute to diagnosisRoute to diagnosiOncologyPopulation Surveillance030220 oncology & carcinogenesisHealth ResourcesHospital costResearch Articlemedicine.medical_specialty2730ReferralEarly diagnosis; Emergency; Hospital costs; Primary care; Route to diagnosis; Survival; Oncology; Genetics; Cancer ResearchPopulationlcsh:RC254-28203 medical and health sciencesGeneticGeneral PractitionersGeneticsmedicineHumanseducationLung cancerbusiness.industryCancerRetrospective cohort studymedicine.diseaseCancer registryEmergency medicineEmergencyHospital costsbusinessNeoplasms/diagnosis
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Do Reduced Hospital Mortality Rates Lead to Increased Utilization of Inpatient Emergency Care?:A Population-Based Cohort Study

2018

OBJECTIVES: To measure the impact of the improvement in hospital survival rates on patients' subsequent utilization of unplanned (emergency) admissions.DATA SOURCES/STUDY SETTING: Unplanned admissions occurring in all acute hospitals of the National Health Service in England between 2000 and 2009, including 286,027 hip fractures, 375,880 AMI, 387,761 strokes, and 9,966,246 any cause admissions.STUDY DESIGN: Population-based retrospective cohort study. Unplanned admissions experienced by patients within 28 days, 1 year, and 2 years of discharge from the index admission are modeled as a function of hospital risk-adjusted survival rates using patient-level probit and negative binomial models. …

Malemedicine.medical_specialtyPopulationHospital mortality030204 cardiovascular system & hematologyPlacebo03 medical and health sciencesPopulation based cohort0302 clinical medicinePatient Admissionhealth care costsMedicineHumans030212 general & internal medicineHospital MortalityhospitalLead (electronics)educationStrokeRisk adjustment for resource use or payment2719AgedRetrospective StudiesHip fractureeducation.field_of_studyInpatientsResource Usebusiness.industryHealth Policyhealth care costRetrospective cohort studyMiddle AgedPatient Acceptance of Health Carequality of care/patient safety (measurement)medicine.diseasePatient DischargeHospitalizationEnglandSettore SECS-P/03 - Scienza Delle FinanzeEmergency medicineFemalebusinessEmergency Service HospitalhospitalsResearch Article
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The dynamic interdependence in the demand of primary and emergency secondary care: A hidden Markov approach

2021

This paper develops an extension of the class of finite mixture models for longitudinal count data to the bivariate case by using a trivariate reduction technique and a hidden Markov chain approach. The model allows for disentangling unobservable time-varying heterogeneity from the dynamic effect of utilisation of primary and secondary care and measuring their potential substitution effect. Three points of supports adequately describe the distribution of the latent states suggesting the existence of three profiles of low, medium and high users who shows persistency in their behaviour, but not permanence as some switch to their neighbour's profile.

Economics and Econometrics050208 financeComputer science05 social sciencesExtension (predicate logic)Bivariate analysis01 natural sciencesUnobservablePrimary and Secondary Care Latent Markov ModelSecondary careReduction (complexity)010104 statistics & probability0502 economics and businessEconometricsSubstitution effect0101 mathematics050207 economicsHidden Markov modelSocial Sciences (miscellaneous)Count dataPanel dataJournal of Applied Econometrics
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Hospital readmission rates: signal of failure or success?

2013

AbstractHospital readmission rates are increasingly used as signals of hospital performance and a basis for hospital reimbursement. However, their interpretation may be complicated by differential patient survival rates. If patient characteristics are not perfectly observable and hospitals differ in their mortality rates, then hospitals with low mortality rates are likely to have a larger share of un-observably sicker patients at risk of a readmission. Their performance on readmissions will then be underestimated. We examine hospitals’ performance relaxing the assumption of independence between mortality and readmissions implicitly adopted in many empirical applications. We use data from th…

MaleMORTALITY-RATESEconomicsIMPACTSocial SciencesHospital performanceC50Business & EconomicsReadmission ratesmedia_commonAged 80 and overHip fractureOUTCOMESI18Mortality rateHealth PolicyHEALTH CARE SCIENCES & SERVICESHospitalsSurvival RateEngland1117 Public Health And Health ServicesMortality ratesFemaleMedical emergencyHEALTHLife Sciences & BiomedicineSample selectionmedicine.medical_specialtyACUTE MYOCARDIAL-INFARCTIONmedia_common.quotation_subjectBivariate analysisPatient ReadmissionReadmission ratemedicineQUALITYHumansSurvival rate1402 Applied EconomicsSelection (genetic algorithm)AgedQuality of Health CareSelection biasHospital readmissionSAMPLE SELECTIONScience & TechnologyModels Statisticalbusiness.industryHip FracturesPublic Health Environmental and Occupational HealthHIP FRACTUREHEALTH POLICY & SERVICESmedicine.diseaseMortality rateMODELEmergency medicinebusinessRACOSTS
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Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure

2020

This study measures the increment of health care expenditure (HCE) that can be attributed to technological progress and change in medical practice by using a residual approach and microdata. We examine repeated cross-sections of individuals experiencing an initial health shock at different point in time over a 10-year window and capture the impact of unobservable technology and medical practice to which they are exposed after allowing for differences in health and socioeconomic characteristics. We decompose the residual increment in the part that is due to the effect of delaying time to death, that is, individuals surviving longer after a health shock and thus contributing longer to the dem…

TechnologyCross-Sectional StudiesSocioeconomic FactorsHealth PolicytechnologicalDenmarkagingAge FactorsHumanshealth care expendituremorbiditytime-to-deathHealth Expenditures
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Does hospital competition harm equity? Evidence from the English National Health Service

2011

Increasing evidence shows that hospital competition under fixed prices can improve quality and reduce cost. Concerns remain, however, that competition may undermine socio-economic equity in the utilisation of care. We test this hypothesis in the context of the pro-competition reforms of the English National Health Service progressively introduced from 2004 to 2006. We use a panel of 32,482 English small areas followed from 2003 to 2008 and a difference in differences approach. The effect of competition on equity is identified by the interaction between market structure, small area income deprivation and year. We find a negative association between market competition and elective admissions …

InequalityNational Health Programsmedia_common.quotation_subjectNegative associationMarket structurePoverty AreasEconomicsHumansEconomics HospitalHealthcare Disparitieshealth care economics and organizationsmedia_commonEquity (economics)Market competitionEconomic CompetitionPublic economicsHealth PolicyPublic Health Environmental and Occupational HealthNational health serviceDifference in differencesHarmEnglandSocioeconomic FactorsSettore SECS-P/03 - Scienza Delle FinanzeSmall-Area AnalysisCompetition Hospital InequalityDemographic economicsRA
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Measuring change in health care equity using small-area administrative data – Evidence from the English NHS 2001–2008

2012

This study developed a method for measuring change in socio-economic equity in health care utilisation using small-area level administrative data. Our method provides more detailed information on utilisation than survey data but only examines socio-economic differences between neighbourhoods rather than individuals. The context was the English NHS from 2001 to 2008, a period of accelerated expenditure growth and pro-competition reform. Hospital records for all adults receiving non-emergency hospital care in the English NHS from 2001 to 2008 were aggregated to 32,482 English small areas with mean population about 1500 and combined with other small-area administrative data. Regression models …

AdultPediatricsmedicine.medical_specialtyHealth (social science)PopulationPrevalenceState MedicineHistory and Philosophy of ScienceHealth caremedicineHumansHealthcare DisparitiesState Medicine/organization & administrationeducationSmall-Area Analysiseducation.field_of_studybusiness.industryHealth services researchHospitals/statistics & numerical dataHospital Recordsmedicine.diseaseObesityHospitalsEnglandSocioeconomic FactorsSmall-Area AnalysisHeart failureHealthcare Disparities/trendsRegression AnalysisHealth Services ResearchbusinessRAKidney diseaseDemographySocial Science & Medicine
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Additional file 1: of What is the impact of rerouting a cancer diagnosis from emergency presentation to GP referral on resource use and survival? Evi…

2018

Technical Appendix. Description of the Basu-Manning estimator used in the statistical analysis. (DOCX 23 kb)

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