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Table 4 Multivariable logistic regression models predicting frequent ED users having > = 8 visits and frequent ED users having > =16 visits in 2009 and 2010

From: A practical method for predicting frequent use of emergency department care using routinely available electronic registration data

Predicting variable

> = 8 visits

> = 16 visits

Coefficient

Standard error

p value

Coefficient

Standard error

p value

Age (year)

5–14

Ref

<5

0.2823

0.0292

<.0001

0.0763

0.1024

0.4562

15–24

1.0897

0.0248

<.0001

1.7732

0.0801

<.0001

25–44

0.9673

0.0241

<.0001

1.7804

0.079

<.0001

45–64

0.7146

0.0252

<.0001

1.4661

0.0805

<.0001

> = 65

0.5033

0.0266

<.0001

0.6751

0.0864

<.0001

Visits in 2008

0.5829

0.00243

<.0001

0.5048

0.00319

<.0001

(Visits in 2008)2

−0.0075

0.00011

<.0001

−0.0062

0.00011

<.0001

Sex (ref. = “Male”)

Male

Ref.

Female

0.3173

0.00978

<.0001

0.2663

0.0212

<.0001

Travel Distance (miles)

5–20

Ref.

<=5

0.344

0.0115

<.0001

0.3263

0.0259

<.0001

>20

−0.2396

0.023

<.0001

−0.0685

0.0501

0.171

Chief Complaints

Respiratory

0.4202

0.0203

<.0001

0.4527

0.0487

<.0001

Gastrointestinal

0.0783

0.019

<.0001

0.1195

0.0437

0.0062

Neurologic

0.1084

0.021

<.0001

0.1487

0.049

0.0024

Skin

−0.0983

0.0317

0.002

−0.4246

0.0858

<.0001

UDI

0.00071

0.0254

0.9777

−0.0999

0.0648

0.123

Lymphatic

0.066

0.0361

0.0679

−0.0848

0.0896

0.344

ILI

−0.2013

0.0201

<.0001

−0.3398

0.0489

<.0001

Dental

0.4419

0.0393

<.0001

0.372

0.0843

<.0001

Pain

0.081

0.0153

<.0001

0.2139

0.0359

<.0001

Musculoskeletal

−0.1625

0.0186

<.0001

−0.2645

0.0434

<.0001

Alcohol

0.2296

0.0753

0.0023

0.4842

0.1447

0.0008

Unclassified

−0.1018

0.0241

<.0001

−0.0771

0.0574

0.1789

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BMC Emergency Medicine

ISSN: 1471-227X

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