Long waiting lists in hospitals

Buhaug, Harald

doi:10.1136/bmj.324.7332.252

Cited by 35 publications

(14 citation statements)

References 7 publications

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“…The appropriateness of medical interventions is usually defined by Scientific Societies through clinical guidelines. However, only a few studies have dealt with the control of appropriateness in clinical practice, and usually focusing on hospital admissions[ 4 5 ] and invasive procedures. [ 6 7 8 9 ] The appropriateness of echocardiography has been investigated in three recent surveys.…”

Section: Introductionmentioning

confidence: 99%

Indications, utility and appropriateness of echocardiography in outpatient cardiology

Orsini

Antoncecchi²,

Carbone³

et al. 2013

J Cardiovasc Echography

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Objective:Respect of “appropriateness” is considered an essential requirement, both on the clinical and the economic profile, and also as it helps to shorten the waiting list. However, only a few studies have dealt with the control of appropriateness in clinical practice, and most of them have focused only on hospital admissions and invasive procedures.Materials and Methods:INDICARD-out is a prospective, multicenter study carried out by A.R.C.A. (Associazioni Regionali Cardiologi Ambulatoriali) cardiologists from 13 Italian Regions, providing information on indications, utility and appropriateness of echocardiography in outpatient cardiology.Results:A total of 2110 prescriptions for echocardiogram were evaluated. Hypertension (23%) and the screening of asymptomatic subjects (17%) by far were the most frequent indications to echocardiography. Overall, 54% of the tests resulted appropriate, 30% were of uncertain appropriateness and 16% were inappropriate. Besides, 31% of the echocardiograms were not useful, and 28% were non pertinent for patient management. The vast majority of prescriptions (72%) came from non-cardiologist physicians (54% from general practitioners). The echocardiograms prescribed by cardiologists were significantly more appropriate, more useful and more pertinent than the tests prescribed by non-cardiologists.Conclusions:The appropriateness, utility and pertinence of the echocardiography are still suboptimal in practice cardiology, especially when indicated by non-cardiologists. The cardiologist, from mere executor of tests prescribed and managed by other physicians, should gain the role of the clinician who takes care of all the cardiologic needs of the patient community.

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Section: Introductionmentioning

confidence: 99%

Indications, utility and appropriateness of echocardiography in outpatient cardiology

Orsini

Antoncecchi²,

Carbone³

et al. 2013

J Cardiovasc Echography

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“…According to Buhaug (2002), one way to alleviate the burden of long admission waiting would be to inform the date of admission right away. This point is widely accepted in outpatient appointment scheduling (Gupta and Denton 2008;Geng et al 2011;Mancilla and Storer 2012).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of elective inpatient admission with delay announcement

Xie

Jiang

2014

International Journal of Production Research

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International audienceThis paper investigates the improvement of the hospitalisation admission process of elective inpatients by delay announcement to free patients from blind and long wait, a phenomenon often observed in top Chinese hospitals. We propose a formal simulation model in which relevant resource requirements during the hospitalisation of a patient are represented by an original ‘multistage treatment model’. Other key components of the formal model include impatience of patients, resource capacities and key performance indicators such as the original concept of waiting time visibility. Through sensitivity analysis of the simulation model, we demonstrate the benefits of delay announcement and the value of our ‘multistage treatment model’

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“…Long waiting lists are considered to be symptomatic of an inefficient care system [4][5][6]. To avoid long waiting lists, care professionals and policy makers are required to estimate the resource requirements for a given time in the future and to allocate the budget/ resources to satisfy this demand [7].…”

Section: Introductionmentioning

confidence: 99%

A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system

Garg

McClean

Meenan

et al. 2009

Health Care Manag Sci

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Healthcare resource planners need to develop policies that ensure optimal allocation of scarce healthcare resources. This goal can be achieved by forecasting daily resource requirements for a given admission policy. If resources are limited, admission should be scheduled according to the resource availability. Such resource availability or demand can change with time. We here model patient flow through the care system as a discrete time Markov chain. In order to have a more realistic representation, a nonhomogeneous model is developed which incorporates timedependent covariates, namely a patient's present age and the present calendar year. The model presented in this paper can be used for admission scheduling, resource requirement forecasting and resource allocation, so as to satisfy the demand or resource constraints or to meet the expansion or contraction plans in a hospital and community based integrated care system. Such a model can be used with both fixed and variable numbers of admissions per day and should prove to be a useful tool for care managers and policy makers who require to make strategic management decisions. We also describe an application of the model to an elderly care system, using a historical dataset from the geriatric department of a London hospital.

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Long waiting lists in hospitals

Cited by 35 publications

References 7 publications

Indications, utility and appropriateness of echocardiography in outpatient cardiology

Indications, utility and appropriateness of echocardiography in outpatient cardiology

Performance evaluation of elective inpatient admission with delay announcement

A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system

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