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Table 6 Bivariate and multivariate negative binomial regression models for GP and hospital service utilisation among those adults aged ≥65 years (TILDA wave 1)

From: The impact of frailty on healthcare utilisation in Ireland: evidence from the Irish longitudinal study on ageing

 

Unadjusted marginal effect

Adjusted marginal effect

n

Pre-frail

Frail

n

Pre-frail

Frail

General Practitioner visitsa

3501

1.84***

4.40***

3471

1.35***

2.29***

Outpatient clinic visitsb

3504

1.17***

2.32***

3476

0.94***

1.50***

Emergency Department visitsc

3504

0.05

0.24***

3487

−0.001

0.06

Hospital admissionsd

3505

0.12***

0.41***

3481

0.10**

0.23***

Day case procedurese

3503

0.37***

0.54***

3485

0.30***

0.41***

Nights spent in hospitalf

3504

0.54**

3.11***

3485

0.30*

1.33***

  1. * = p < 0.05, ** = p < 0.01, *** = p < 0.001
  2. The independent variables entered into each service outcome model were:
  3. aFrailty, disability, multimorbidity, physical health, emotional health, falls, age, gender, living arrangements, healthcare entitlement, education, household location
  4. bFrailty, disability, multimorbidity, physical health, emotional health, falls, age, gender, healthcare entitlement, household location
  5. cFrailty, disability, multimorbidity, physical health, emotional health, falls, age, gender
  6. dFrailty, disability, multimorbidity, physical health, falls, age, gender, healthcare entitlement, household location
  7. eFrailty, disability, multimorbidity, physical health, emotional health, age, gender, healthcare entitlement
  8. fFrailty, disability, multimorbidity, physical health, emotional health, falls, age, gender, healthcare entitlement