Factors associated with length of stay following an emergency medical admission

Cournane, Seán; Byrne, Declan; O’Riordan, Deirdre; Silke, Bernard

doi:10.1016/j.ejim.2015.02.017

Cited by 18 publications

(14 citation statements)

References 32 publications

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“…All need factors, including the severity of functional disability, physical and mental health status, measured by K-IADL, the number of chronic health conditions, and the level of depressive symptoms, were found to be significant predictors of inpatient stays, which is consistent with findings of previous studies (Cournane, Byrne, O'Riordan, & Silke, 2015;Deaton et al, 1998;Fogel, Hyman, Rock, & Wolf-Klein, 2000).…”

Section: Discussionsupporting

confidence: 90%

“…All need factors, including the severity of functional disability, physical and mental health status, measured by K‐IADL, the number of chronic health conditions, and the level of depressive symptoms, were found to be significant predictors of inpatient stays, which is consistent with findings of previous studies (Cournane, Byrne, O'Riordan, & Silke, ; Deaton et al, ; Fogel, Hyman, Rock, & Wolf‐Klein, ). Considering that comorbidity of physical health with mental health conditions, such as depression, possibly increase inpatient stays over time, appropriate and timely treatments, including prevention, should be provided.…”

Section: Discussionsupporting

confidence: 90%

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Length of inpatient stays and associated factors among middle‐aged and older adults in Korea

Lee

2019

Asian Soc Wrk & Pol Rev

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Using a nationally representative sample of middle‐aged and older adults in Korea, this study examined the length of inpatient stays and associated factors. The pooled 2008–2012 data were obtained from the Korean Longitudinal Study of Aging, and study sample consisted of 7,805 individuals aged 50 and older. Guided by the Andersen's healthcare utilization model, latent growth curve modeling was conducted. Study results indicate that the average inpatient stay has slightly increased among middle‐aged and older adults in Korea. Furthermore, the severity of functional disability, the number of chronic health conditions, and the level of depressive symptoms were found to be key factors associated with the length of inpatient stays. In particular, respondents who received federal welfare benefits had longer stays than those who did not receive welfare benefits. Being employed and having private insurance were also found to be predictors of increasing length of inpatient stays. However, marital status was not associated with the length of inpatient stays. By understanding the pattern of inpatient stays and associated factors, policymakers should make an effort to develop innovative cost‐effective healthcare programs.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 90%

Length of inpatient stays and associated factors among middle‐aged and older adults in Korea

Lee

2019

Asian Soc Wrk & Pol Rev

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“…It was estimated that the number of diabetes care visits would increase by 0.6563 for every 2 uses of transportation services (transportation use times e, where e is the base of the natural logarithm and it is approximately equal to 2.71828, (2.71828 -1)% = 172%). 32,33 Thus, number of times nonemergency transportation was used is grouped into 2 uses per category up to the 99.48 percentile, after which the final category includes 17 or more uses. For each of the tests of significance, results are considered significant at the P < .05 or lower level.…”

Section: Discussionmentioning

confidence: 99%

“…The size of the categories was determined from the coefficient of the log transformed nonemergency medical transportation use for the expected change in diabetes care visits. It was estimated that the number of diabetes care visits would increase by 0.6563 for every 2 uses of transportation services (transportation use times e , where e is the base of the natural logarithm and it is approximately equal to 2.71828, (2.71828 ‐ 1)% = 172%) . Thus, number of times nonemergency transportation was used is grouped into 2 uses per category up to the 99.48 percentile, after which the final category includes 17 or more uses.…”

Section: Methodsmentioning

confidence: 99%

Access to Transportation and Health Care Visits for Medicaid Enrollees With Diabetes

Thomas

Wedel

Christopher

2017

The Journal of Rural Health

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“…Our analysis found that a higher proportion of long-stay patients (>21 days) was associated with longer patient ED waiting times. Long-stay patients may be more difficult to discharge quickly when there is additional pressure from the ED, as they often require social or community care or have multiple comorbidities, 18 and this may affect bed flexibility.…”

Section: Summary Of Findingsmentioning

confidence: 99%

Waiting times in emergency departments: exploring the factors associated with longer patient waits for emergency care in England using routinely collected daily data

et al. 2020

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BackgroundLong lengths of stay (also called waiting times) in emergency departments (EDs) are associated with higher patient mortality and worse outcomes.ObjectiveTo add to the literature using high-frequency data from a large number of hospitals to analyse factors associated with long waiting times, including exploring non-linearities for 'tipping points'.MethodsMultivariate ordinary least squares regressions with fixed effects were used to analyse factors associated with the proportion of patients in EDs in England waiting more than 4 hours to be seen, treated and admitted or discharged. Daily situation reports (Sitrep), hospital episode statistics and electronic staffing records data over 90 days between December 2016 and February 2017 were used for all 138 English NHS healthcare providers with a major ED.ResultsHigher inpatient bed occupancy was correlated with longer ED waiting times, with a non-linear association. In a full hospital, with 100% bed occupancy, the proportion of patients who remained in the ED for more than 4 hours was 9 percentage points higher (95% CI 7.5% to 11.1%) than with an 85% occupancy level. For each percentage point change in the following factors, the proportion of ED stays over 4 hours also increased: more inpatients with hospital length of stay over 21 days (0.07%, 95% CI 0.008% to 0.13%); higher emergency admissions (0.08%, 95% CI 0.06% to 0.10%); and lower discharges relative to admissions on the same day (0.04%, 95% CI 0.02% to 0.06%), the following day (0.05%, 95% CI 0.03% to 0.06%) and at 2 days (0.05%, 95% CI 0.04% to 0.07%).ConclusionsThese results suggest that tackling patient flow and capacity in the wider hospital, particularly very high bed occupancy levels and patient discharge, is important to reduce ED waiting times and improve patient outcomes.

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Factors associated with length of stay following an emergency medical admission

Cited by 18 publications

References 32 publications

Length of inpatient stays and associated factors among middle‐aged and older adults in Korea

Length of inpatient stays and associated factors among middle‐aged and older adults in Korea

Access to Transportation and Health Care Visits for Medicaid Enrollees With Diabetes

Waiting times in emergency departments: exploring the factors associated with longer patient waits for emergency care in England using routinely collected daily data

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