An analysis of admission, discharge and bed occupancy of stroke patients aged 65 and over in English hospitals

Impact of continuous Medical Aid utilisation on healthcare utilisation: unique insight using the 2008-2012 Korean Welfare Panel Study (KOWEPS)

OBJECTIVES

Although there has been considerable discussion about the social safety net, few studies related to effect of duration of continuous receipt of Medical Aid on healthcare utilisation have been conducted. Therefore, we investigate whether the duration of receiving Medical Aid affected medical care utilisation.

SETTING

Data were collected from the Korean Welfare Panel Study conducted from 2008 to 2012.

PARTICIPANTS

We included 11,783 samples.

INTERVENTIONS

Estimating changes in their healthcare utilisation during specific time intervals (1, 2 and ≥3 years) after they switched from National Health Insurance to Medical Aid.

PRIMARY AND SECONDARY OUTCOME MEASURES

Number of outpatient visits.

RESULTS

The number of outpatient visits per year was 0.0.051-fold higher (p value: 0.434) among those who were Medical Aid beneficiaries for a continuous period of 1 year, 0.0.267-fold higher (p value: 0.000) among those who were beneficiaries for a continuous period of 2 years, and 0.0.562-fold higher (p value:<0.0001) among those who were beneficiaries for a continuous period of 3 years than it was among those who were beneficiaries of National Health Insurance.

CONCLUSIONS

Our results reflect an association between the number of consecutive years of receiving Medical Aid and number of outpatient visits. Since duration of dependence is correlated with reduced exit rates, limits on length of benefits should be considered to strengthen the incentive to return to work.

The impact of the day of the week and month of admission on the length of hospital stay in stroke patients

BACKGROUND

Length of hospital stay (LOS) in many diseases is determined by patient-related sociodemographic and clinical factors but also by the management of treatment and care. We examined the influence of the day of the week (DW) and month of admission on LOS in stroke patients.

METHODS

We used data from a large regional stroke registry in the northwest of Germany for the years 2000 and 2001. The registry is based on a standardised data assessment in participating hospitals, including patient-related sociodemographic and clinical items, diagnostic and treatment procedures, stroke classification, as well as admission and discharge dates. Data management and analysis were done centrally.

RESULTS

A total of 11,942 patients from 42 hospital departments were included. Median LOS was 13 days for ischemic stroke and 8 days for TIA. Patients with ischaemic stroke admitted on Tuesdays or Wednesdays had the longest LOS. We observed a significantly shorter LOS in patients discharged towards the weekend, both for ischaemic stroke and TIA, independent of age, gender and symptom severity. Discharges were predominantly done on Fridays (25%), transferrals to rehabilitation centres most often on Thursdays (28%) in neurologic departments but on Tuesdays in departments of internal medicine. LOS according to the month of admission revealed a biphasic curve for both ischaemic stroke and TIA, with shortest LOS in July and December.

CONCLUSIONS

Discharge patterns on weekends contribute to differences in LOS for the various DWs of admission. Changes in discharge organisation and improved co-operation with rehabilitation centres may shorten LOS. Differences in LOS between the months show considerable seasonal variability.

Health care modelling and clinical practice. Theoretical exercise or practical tool?

The paper looks at potential uses of health care modelling techniques in day-to-day clinical practice, adopting the viewpoint of a specialist in geriatric medicine. After a brief review of the recent literature on the practical applications of bed modelling techniques, the potential of such techniques in the future is discussed. Possible barriers to the adoption of these techniques by clinicians are presented together with suggestions about ways of overcoming these barriers.

A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department

The flow of patients through geriatric hospitals has been previously described in terms of acute (short-stay), rehabilitation (medium-stay), and long-stay states where the bed occupancy at a census point is modelled by a mixed exponential model using BOMPS (Bed Occupancy Modelling and Planning System). In this a patient is initially admitted to acute care. The majority of the patients are discharged within a few days into their own homes or through death. The rest are converted into medium-stay patients where they could stay for a few months and thereafter either leave the system or move on to a long-stay compartment where they could stay until they die. The model forecasts the average length of stay as well as the average number of patients in each state. The average length of stay in the acute compartment is artificially high if some would-be long-term patients are kept waiting in the short-stay compartment until beds become available in long-stay (residential and nursing homes). In this paper we consider the problem as a queueing system to assess the effect of blockage on the flow of patients in geriatric departments. What-if analysis is used to allow a greater understanding of bed requirements and effective utilisation of resources.