<p>ED indicates emergency department; EDVS, ED visit severity; RED, had returned to ED; HA, had hospital admission.</p><p><sup>a</sup> Using generalized linear models with generalized estimating equation method based on gamma distribution with logarithmic link.</p><p><sup>b</sup> Using generalized linear models with generalized estimating equation mothed based on binominal distribution with logit link.</p><p>"99: XXXX*<sup>n</sup>" indicates the pattern 99 comprised n times consecutive visit of XXXX care type.</p><p>95% CI indicates 95% confidence interval. RG denotes reference group. "‡" indicates that p-value ≦ 0.001; "†" p-value ≦ 0.01; "+" p-value ≦ 0.05;</p><p>Adjusted association between Pre-ED care-seeking patterns and severity of ED...
Background/Aims: Identifying an effective strategy to reduce emergency department (ED) visits remain...
<p>Abbreviations: ED, emergency department; PY, person-year; CI, confidence interval; IQR, interquar...
Objectives: This study aims to describe the population that averages one or more emergency departmen...
Many patients treated in Emergency Department (ED) visits can be treated at primary or urgent care s...
Many patients treated in Emergency Department (ED) visits can be treated at primary or urgent care s...
<p>ED indicates emergency department; NHC, no health care visit.</p><p>"99: XXXX*<sup>n</sup>" indic...
<p>ED indicates emergency department; EDVS, the ED visit severity; RED, had returned to ED; HA, had ...
<p>*P<0.01</p><p>Incidence rate ratios were obtained from six separate negative binomial regression ...
†<p>Regression model adjusted for age, patient gender, arrival hours, and clinical condition. Genera...
BackgroundAccurately predicting future frequent emergency department (ED) utilization can support a ...
<p>AOR, adjusted odds ratio; CI, confidence interval.</p><p>*The adjusted odds ratio is the associat...
<p>Results are adjusted for severity (logit of the MPM<sub>0</sub> score corrected from the points a...
<p>The cumulative number of ED visits is shown as a function of patient number (sorted by number of ...
Regression models showing the association of the length of stay in emergency department and hospital...
<p>A. “Time to event” analysis. The ED revisit “time-to-event curve” showed a pattern of a rapid acc...
Background/Aims: Identifying an effective strategy to reduce emergency department (ED) visits remain...
<p>Abbreviations: ED, emergency department; PY, person-year; CI, confidence interval; IQR, interquar...
Objectives: This study aims to describe the population that averages one or more emergency departmen...
Many patients treated in Emergency Department (ED) visits can be treated at primary or urgent care s...
Many patients treated in Emergency Department (ED) visits can be treated at primary or urgent care s...
<p>ED indicates emergency department; NHC, no health care visit.</p><p>"99: XXXX*<sup>n</sup>" indic...
<p>ED indicates emergency department; EDVS, the ED visit severity; RED, had returned to ED; HA, had ...
<p>*P<0.01</p><p>Incidence rate ratios were obtained from six separate negative binomial regression ...
†<p>Regression model adjusted for age, patient gender, arrival hours, and clinical condition. Genera...
BackgroundAccurately predicting future frequent emergency department (ED) utilization can support a ...
<p>AOR, adjusted odds ratio; CI, confidence interval.</p><p>*The adjusted odds ratio is the associat...
<p>Results are adjusted for severity (logit of the MPM<sub>0</sub> score corrected from the points a...
<p>The cumulative number of ED visits is shown as a function of patient number (sorted by number of ...
Regression models showing the association of the length of stay in emergency department and hospital...
<p>A. “Time to event” analysis. The ED revisit “time-to-event curve” showed a pattern of a rapid acc...
Background/Aims: Identifying an effective strategy to reduce emergency department (ED) visits remain...
<p>Abbreviations: ED, emergency department; PY, person-year; CI, confidence interval; IQR, interquar...
Objectives: This study aims to describe the population that averages one or more emergency departmen...