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Emergency Department Crowding is Associated with Decreased Quality of Care for Children with Acute Asthma
Marion R Sills, MD, MPH
Background
Crowding Quality
Background
Crowding Quality
Background: IOM Dimensions of Quality Six Dimensions of QualitySafe (‘‘avoiding injuries to patients from the care that is intended to help them”)
Effective (“providing services based on scientific knowledge to all who could benefit and refraining from providing services to those not likely to benefit”)
Patient-centered (“providing care that is respectful of and responsive to individual patient preferences, needs, and values and ensuring that patient values guide all decisions”)
Timely (“reducing waits and sometimes harmful delays for both those who receive and those who give care”)
Efficient (“avoiding waste, in particular waste of equipment, supplies, ideas, and energy”)
Equitable (care that ‘‘does not vary in quality because of personal characteristics such as gender, ethnicity, geographic location, and socioeconomic status’’)
Background: IOM Dimensions of Quality
Dimension Quality measures associated with crowdingSafe errors in registrationEffective mortality
non-receipt of analgesia in patients with painPatient-centered
patient satisfaction
Timely time-to-antibiotic for patients with pneumoniatime-to-thrombolysis for patients with AMItime-to-analgesia in patients with paintransport delayspatients leaving without being seen
Efficient inpatient LOSED revisits by ED patients and by discharged inpatients
Equitable EDs located in poorer neighborhoodsEDs used disproportionately by uninsured persons
Background: Dimensions in our DataDimension Quality measuresSafe Transfer to ICU < 24 hr after ED admissionEffective Receipt of asthma score
Receipt of beta-agonist Receipt of steroid % of CXR that are negative
Patient-centered
No measures
Timely Time to asthma score < 1 hr Time to beta-agonist < 1 hr Time to steroid < 1 hr LWBS
Efficient Return to ED within 72 hours of 1st visit for asthmaEquitable Include insurer, PCP, and preferred language variable
in models of other dimensions
Background
Crowding Quality
Background
Crowding Quality
Background
Crowding Quality
•Complexity:Multi-factorial scalesSimple measures
•Validated againstSubjective rating of crowdingQuality of care
Background
• Simple: ED Occupancy =
• Multi-factorial: NEDOCS =
ED patientsED beds
Background
Crowding Quality
•Complexity:Multi-factorial scalesSimple measures
•Validated againstSubjective rating of crowdingQuality of care
Objective 1
Crowding Timeliness
• Determine which of several simple indicators of ED crowding are most predictive of untimely care
Objective 2
Crowding Quality
• Use the selected crowding measures to explore timeliness and other quality dimensions in ED asthma care for children
Questions
• Objective 1 already submitted as manuscript• Objective 2:
Enough for additional manuscript? Include all the extra measures we intended to
model but could not?
Objective 1
Crowding Timeliness
• Determine which of several simple indicators of ED crowding are most predictive of delayed care
Methods: Patient Population
• Retrospective cohort• EMR-derived• All ED patients with asthma as first diagnosis (end-of-visit case-definition)
• Age 2-21 years• 12 month study period
Full asthma study population
Methods: Selection of Crowding Measures
Crowding measures Process measures
9 measures of crowding
Timeliness of 3 processes
Asthma scoreInhaled beta-agonistSystemic corticosteroid
Methods: Selection of Crowding Measures
Crowding measures Process measures
9 measures of crowding
Timeliness of 3 processes
Asthma scoreInhaled beta-agonistSystemic corticosteroid
Derived from prior literature
Global measures Total patient-care hoursED occupancyInput measures Number waiting to see attendingNumber arriving in 6 hoursThroughput measuresMean ED LOS of patients dischargedMean ED LOS for patients admittedOutput measuresNumber discharged in 6 hoursNumber admitted in 6 hoursHospital occupancy
Methods: Selection of Crowding Measures
Global measures Total patient-care hours (sum of ED LOS for all patients in ED)
ED occupancy (ratio: # ED patients / # ED beds)
Input measures Number waiting to see attending (# ED patients not yet assigned to billing provider)
Number arriving in 6 hours (# newly registered patients in prior 6 hours)
Throughput measuresMean ED LOS of patients discharged (mean ED LOS for patients discharged from
the ED in prior 6 hours)
Mean ED LOS for patients admitted (mean ED LOS for patients transferred to inpatient beds in prior 6 hours)
Output measuresNumber discharged in 6 hours (# patients discharged from ED in prior 6 hours)
Number admitted in 6 hours (# patients transferred to inpatient beds in prior 6 hours)
Hospital occupancy (% occupancy of whole hospital)
Methods: Selection of Crowding Measures
Methods: Selection of Process Measures
Crowding measures Process measures
9 measures of crowding
Timeliness of 3 processes
Asthma scoreInhaled beta-agonistSystemic corticosteroid
Defined relevant subgroups based on•NHLBI guideline
•literature
Methods
Full asthma study population
Asthma score indicated subgroup
Beta-agonistindicated subgroup
Steroid indicated subgroup
Initial asthma score > 7
Received > 2 beta-agonist
treatments*
Received asthma medication
in ED
*excluded those with pre-hospital steroid recorded
Methods
Other patient characteristics were included based on previous studies
Severity indicatorsDemographic variables History elements Access-related variables
Methods: Analysis
• Summary statistics • Adjusted risk of each quality measure at 5 percentiles of crowding for each crowding measure
• Significance of the change in adjusted risk when moving between crowding percentiles
Demographics Age in years [median (IQR)] 6 (3, 9)Preferred language English [n (%)] 798 (86.1)Public insurance [n (%)] 531 (57.3)Initial History Information Has PCP [n (%)] 820 (88.5)Second hand smoke in home [n (%)] 185 (20.0)Severity Indicators Initial pulse-oximetry < 90% [n (%)] 179 (19.3)Triage level 1 or 2 (most severe) [n (%)] 325 (35.1)Ambulance arrival [n (%)] 121 (13.1)
Results: Selected Patient Characteristics
n = 927
Results: Subgroups and Associated Process Measures
Subgroup Asthma-score indicated subgroup (n = 832)
Beta-agonist indicated subgroup (n = 551)
Steroid indicated subgroup (n = 640)
Received indicated process [n (%)]
694 (83)
551 (100)
556 (87)
Received indicated process in ≤ 1 hour [n (% of process-receivers)]
375 (54)
355 (64)
130 (23)
Time to process, minutes [median (IQR)]
53 (29, 90)
45 (27, 76)
99 (63, 154)
Results: Median Values (10th, 25th, 75th, and 90th percentiles) of Crowding Measures
Total patient-care hours 125 (58, 85, 180, 254)ED occupancy 47 (19, 32, 68, 85)Number waiting to see attending 6 (2, 3, 11, 17)Number arriving in 6 hours 44 (16, 26, 58, 67)Mean ED LOS of patients discharged (minutes) 186 (135, 159, 225, 279)
Mean ED LOS for patients admitted (minutes) 348 (122, 248, 538, 818)
Number discharged in 6 hours 39 (15, 23, 53, 63)Number admitted in 6 hours 3 (1, 2, 5, 7)Hospital occupancy 75 (67, 70, 81, 85)
ED Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Percentile
Adj
uste
d R
isk
Results: Adjusted Risk for Steroid Receipt in One Hour by Crowding Measure Percentile
Crowding Measure
Pro
cess
Mea
sure
Results: Adjusted Risk for Steroid Receipt in One Hour by Crowding Measure Percentile
Crowding Measure
Pro
cess
Mea
sure
Mean LOS of Discharged Patients (ln)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Percentile
Adj
uste
d R
isk
Results: Adjusted Risk for Asthma Score Receipt in One Hour by Crowding Measure Percentile
Mean LOS of Discharged Patients (ln)
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Number Waiting for Attending (ln)
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Mean LOS of Admitted Patients (ln)
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
ED Arrivals in 6 hrs
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
ED Occupancy
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Admitted in 6 hr
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Discharged in 6 hr
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Hospital Occupancy
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Total Patient-Care Hours (sqrt)
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Results: Adjusted Risk for Beta-Agonist Receipt in One Hour by Crowding Measure Percentile
Total Patient-Care Hours (sqrt)
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
ED Occupancy
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Number Waiting for Attending (ln)
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
ED Arrivals in 6 hrs
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Admitted in 6 hr
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Mean LOS of Discharged Patients (ln)
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Mean LOS of Admitted Patients (ln)
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Discharged in 6 hr
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Hospital Occupancy
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Results: Adjusted Risk for Steroid Receipt in One Hour by Crowding Measure Percentile
Hospital Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Admitted in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Discharged in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Mean LOS of Admitted Patients (ln)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Mean LOS of Discharged Patients (ln)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Number Waiting for Attending
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
ED Arrivals in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Total Patient-Care Hours (sqrt)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Rat
io
ED Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Results: Adjusted Risk for Steroid Receipt in One Hour by Crowding Measure Percentile
Hospital Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Admitted in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Discharged in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Mean LOS of Admitted Patients (ln)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Mean LOS of Discharged Patients (ln)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Number Waiting for Attending
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
ED Arrivals in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Total Patient-Care Hours (sqrt)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Rat
io
ED Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Results: Relative Risk Comparing the 10th and 90th Percentiles of Crowding for the Three Selected Crowding Measures
Subgroup Asthma-score indicated subgroup
Beta-agonist indicated subgroup
Steroid indicated subgroup
Process►
Crowding Measure▼
Received asthma score in 1st hour
Received beta-agonist in 1st hour
Received steroid in 1st hour
ED Occupancy 3.21 2.23 7.80Number Waiting for Attending
2.83 1.95 5.83
Total Patient-care Hours
2.24 1.80 5.17
Results: Adjusted Risk for Steroid Receipt in One Hour by Crowding Measure Percentile
Hospital Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Admitted in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Discharged in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Mean LOS of Admitted Patients (ln)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Mean LOS of Discharged Patients (ln)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Number Waiting for Attending
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
ED Arrivals in 6 Hours
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Total Patient-Care Hours (sqrt)
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Rat
io
ED Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Results: ED Occupancy and Number Waiting for Attending
Number Waiting for Attending
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
ED Occupancy
0
0.1
0.2
0.3
0.4
10 25 50 75 90Crowding Measure Percentile
Adj
uste
d R
isk
Number Waiting for Attending (ln)
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
ED Occupancy
0
0.2
0.4
0.6
0.8
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
ED Occupancy
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Number Waiting for Attending (ln)
0
0.2
0.4
0.6
0.8
1
10 25 50 75 90
Percentile
Adj
uste
d R
isk
Rat
io
Steroid < 1 Hr
Beta-Agonist < 1 Hr
Asthma Score < 1 Hr
Discussion
• A significant proportion had delayed receipt of an indicated process
• The greatest delay was in steroid delivery
Asthma-score
Beta-agonist
Steroid
Time to process, minutes [median (IQR)]
53 (29, 90)
45 (27, 76)
99 (63, 154)
Discussion
• Crowding exerts a “dose-related” effect on timeliness
• Crowding can change the probability of delayed care by 7-fold
Process►
Crowding Measure▼
Received asthma score in 1st hour
Received beta-agonist in 1st hour
Received steroid in 1st hour
ED Occupancy 3.21 2.23 7.80Number Waiting for Attending
2.83 1.95 5.83
Total Patient-care Hours
2.24 1.80 5.17
Discussion
• Key measures of crowding include ED occupancynumber waiting for attending total patient-care hours
• 2 global measures and 1 input measure• Differs from adult-population ED literature: output measures of crowding are most related to quality
Objective 1
Crowding Timeliness
• Determine which of several simple indicators of ED crowding are most predictive of delayed care
ED occupancynumber waiting for attending total patient-care hours
Objective 2
Crowding Quality
• Use the selected crowding measures to explore more quality domains in ED asthma care for children
Methods
Crowding measures Quality measures
•ED occupancy•number waiting for attending•total patient-care hours
•5 dimensions*
Conceptual Model
*no EMR measures of patient-centeredness
Methods: Quality MeasuresDimension Quality measuresSafe Transfer to ICU < 24 hr after ED admissionEffective Receipt of asthma score
Receipt of beta-agonist Receipt of steroid % of CXR that are negative
Timely Time to asthma score < 1 hr Time to beta-agonist < 1 hr Time to steroid < 1 hr LWBS
Efficient Return to ED within 72 hours of 1st visit for asthmaEquitable Include insurer, PCP, and preferred language variable
in models of other dimensions
Methods: Analysis
• Summary statistics • For safety, effectiveness, timeliness and efficiency quality measures:
Adjusted risk of each quality measure at 5 percentiles of crowding for each crowding measure
Significance of the change in adjusted risk when moving between crowding percentiles
Methods: Analysis
• For equity quality measuresTest association with effectiveness and
timeliness measuresTest whether they are moderators of the
crowding-quality models involving other quality measures
Crowding measures Quality measures
Conceptual Model
Equity measures
Moderators? Explanatory variables?
Demographics Age in years [median (IQR)] 6 (3, 9)Preferred language English [n (%)] 798 (86.1)Public insurance [n (%)] 531 (57.3)Initial History Information Has PCP [n (%)] 820 (88.5)Second hand smoke in home [n (%)] 185 (20.0)Severity Indicators Initial pulse-oximetry < 90% [n (%)] 179 (19.3)Triage level 1 or 2 (most severe) [n (%)] 325 (35.1)Ambulance arrival [n (%)] 121 (13.1)
Results: Selected Patient Characteristics
n = 927
Results: Eliminated Quality Measures
Several quality measures had insufficient #s for analysis
Results: Eliminated Quality MeasuresDimen-sion
Quality measures n (%)
Safe Transfer to ICU < 24 hr after ED admission 0 (0%)*Effective Receipt of asthma score
Receipt of beta-agonist 551 (100)Receipt of steroid % of CXR that are negative 205 (89)†
Timely Time to asthma score < 1 hr
Time to beta-agonist < 1 hr
Time to steroid < 1 hr
LWBS 2 (0.2%)Efficient Return to ED within 72 hours of 1st visit 24 (4%)*Equitable Include insurer, PCP, and preferred language
variable in models of other dimensions
*denominator = admitted patients (n = 653)†denominator = discharged patients (n = 231)
Background: Dimensions in our DataDimension Quality measures n (%)Effective Receipt of asthma score 694 (83)
Receipt of steroid 556 (87)Timely Time to asthma score < 1 hr 375 (45)
Time to beta-agonist < 1 hr 355 (64)Time to steroid < 1 hr 130 (20)
Equitable Preferred language English 798 (86)
Has PCP 820 (89)
No insurance 98 (11)
Public insurance 531 (57)
Background: Dimensions in our DataDimension Quality measures n (%)Effective Receipt of asthma score 694 (83)
Receipt of steroid 556 (87)Timely Time to asthma score < 1 hr 375 (45)
Time to beta-agonist < 1 hr 355 (64)Time to steroid < 1 hr 130 (20)
Equitable Preferred language English 798 (86)
Has PCP 820 (89)
No insurance 98 (11)
Public insurance 531 (57)
New analyses in Objective 2
Crowding measures Quality measures
•ED occupancy•Number waiting for attending•Total patient-care hours
•Receipt of Asthma scoreSteroid
•Receipt < 1 hr ofAsthma scoreBeta-agonistSteroid
Conceptual Model
Moderators (Equity measures)•Preferred language English •Has PCP•No insurance •Public insurance
Crowding measures Quality measures
•ED occupancy•Number waiting for attending•Total patient-care hours
•Receipt of Asthma scoreSteroid
•Receipt < 1 hr ofAsthma scoreBeta-agonistSteroid
Conceptual Model
Moderators (Equity measures)•Preferred language English •Has PCP•No insurance •Public insurance
ResultsAsthma Score
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Risk 10%tile Risk 25%tile Risk 50%tile Risk 75%tile Risk 90%tile
Adj
uste
d R
isk
Total Hours X Receipt
ED Occupancy X Receipt
Number Waiting for Provider XReceipt
Total Hours X Timely Receipt
ED Occupancy X Timely Receipt
Number Waiting for Provider XTimely Receipt
effectiveness
timeliness
ResultsBeta Agonist
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Risk 10%tile Risk 25%tile Risk 50%tile Risk 75%tile Risk 90%tile
Adj
uste
d R
isk
Total Hours X Timely Receipt
ED Occupancy X TimelyReceipt
Number Waiting for Provider XTimely Receipt
timeliness
ResultsSteroid
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Risk 10%tile Risk 25%tile Risk 50%tile Risk 75%tile Risk 90%tile
Adj
uste
d R
isk
Total Hours X Receipt
ED Occupancy X Receipt
Number Waiting for ProviderX Receipt
Total Hours X TimelyReceipt
ED Occupancy X TimelyReceipt
Number Waiting for ProviderX Timely Receipt
effectiveness
timeliness
Results: Relative Risk Comparing the 10th and 90th Percentiles of Crowding
Process►
Crowding Measure▼
Received asthma score
Received steroid
Asthma score in 1st hour
Beta-agonist in 1st hour
Steroid in 1st hour
ED Occupancy 1.22 1.12 3.21 2.23 7.80Number Waiting for Attending
1.18 1.16 2.83 1.95 5.83
Total Patient-care Hours
1.12 1.05* 2.24 1.80 5.17
*not statistically significant
Crowding measures Quality measures
•ED occupancy•Number waiting for attending•Total patient-care hours
•Receipt of Asthma scoreSteroid
•Receipt < 1 hr ofAsthma scoreBeta-agonistSteroid
Results
Moderators (Equity measures)•Preferred language English •Has PCP•No insurance •Public insurance
No significant effect as moderators
No significant association with effectiveness or timeliness
Conclusions
• High rates of receipt of indicated processes (effectiveness)
• Lower rates of timely receipt (timeliness)
Asthma Score
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Risk 10%tile Risk 25%tile Risk 50%tile Risk 75%tile Risk 90%tile
Adj
uste
d R
isk
Total Hours X Receipt
ED Occupancy X Receipt
Number Waiting for Provider XReceipt
Total Hours X Timely Receipt
ED Occupancy X Timely Receipt
Number Waiting for Provider XTimely Receipt
Steroid
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Risk 10%tile Risk 25%tile Risk 50%tile Risk 75%tile Risk 90%tile
Adj
uste
d R
isk
Total Hours X Receipt
ED Occupancy X Receipt
Number Waiting for ProviderX Receipt
Total Hours X TimelyReceipt
ED Occupancy X TimelyReceipt
Number Waiting for ProviderX Timely Receipt
Conclusions
Process►
Crowding Measure▼
Received asthma score
Received steroid
Asthma score in 1st hour
Beta-agonist in 1st hour
Steroid in 1st hour
ED Occupancy 1.22 1.12 3.21 2.23 7.80Number Waiting for Attending
1.18 1.16 2.83 1.95 5.83
Total Patient-care Hours
1.12 NS 2.24 1.80 5.17
• Crowding had larger magnitude association with timeliness measures than with effectiveness (receipt/non-receipt) measures
Conclusions
• Equity measures (language, PCP, insurance)
Are not associated with either effectiveness or timeliness of care
Do not moderate the association between crowding and either effectiveness or timeliness of care
Questions
• Objective 1 already submitted as manuscript• Objective 2:
Enough for additional manuscript? Include all the extra measures we intended to
model but could not?Other feedback