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Table 2 Predictors of preferences for nursing home care. Results of logistic regressions (for each outcome measure: 0 = low preferences; 1 = high preferences)

From: Who should take care of me? Preferences of old age individuals for characteristics of professional long-term caregivers: an observational cross-sectional study

Independent variables

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

Same gender

German language

Same cultural background

Orderly appearance

Empathetic, kind

Punctual, reliable

Enough time

Small team

Age

1.000

1.006

1.032**

0.972

1.115

1.007

0.969

0.976

(0.977–1.023)

(0.982–1.030)

(1.011–1.054)

(0.921–1.027)

(0.955–1.301)

(0.935–1.084)

(0.933–1.007)

(0.939–1.013)

Sex (Ref.: male)

8.270***

1.511*

0.985

2.193+

5.374+

1.232

1.931*

1.547

(5.640–12.13)

(1.062–2.150)

(0.724–1.340)

(0.921–5.222)

(0.810–35.63)

(0.399–3.801)

(1.068–3.491)

(0.870–2.751)

Living situation (Ref.: Living with partner or spouse)

0.716*

0.753

0.712*

0.524

0.276

0.615

0.527*

0.920

(0.514–0.997)

(0.534–1.062)

(0.530–0.955)

(0.230–1.192)

(0.0334–2.281)

(0.202–1.874)

(0.296–0.941)

(0.529–1.600)

West and East Germany (Ref.: East Germany)

0.957

0.896

0.524***

1.236

 

0.209

0.899

0.791

(0.648–1.412)

(0.591–1.358)

(0.364–0.754)

(0.491–3.114)

 

(0.0277–1.574)

(0.450–1.797)

(0.394–1.587)

Apprenticeship, full-time vocational school (Ref.: Without a vocational degree)

1.188

0.955

1.304

1.583

4.939

2.332

3.141*

2.094

(0.683–2.066)

(0.478–1.909)

(0.767–2.216)

(0.492–5.096)

(0.406–60.12)

(0.414–13.14)

(1.306–7.556)

(0.809–5.422)

Professional school or trade and technical school for vocational education

0.862

0.714

0.979

3.893+

5.611

0.881

1.832

1.660

(0.477–1.556)

(0.350–1.457)

(0.558–1.715)

(0.830–18.26)

(0.353–89.29)

(0.167–4.635)

(0.757–4.435)

(0.614–4.486)

University, Fachhochschule, school of engineering

0.609

0.514+

0.750

1.319

17.87

1.301

2.101

0.810

(0.327–1.135)

(0.251–1.053)

(0.423–1.331)

(0.349–4.993)

(0.476–670.3)

(0.202–8.378)

(0.831–5.312)

(0.313–2.094)

German-born (Ref.: no)

0.555*

1.115

1.481

1.325

 

0.396

0.497

1.987+

(0.323–0.953)

(0.643–1.933)

(0.918–2.388)

(0.423–4.153)

 

(0.0429–3.657)

(0.165–1.501)

(0.963–4.099)

Children (Ref.: No children)

1.024

1.208

1.183

0.854

1.911

0.868

1.610

1.432

(0.672–1.559)

(0.800–1.824)

(0.818–1.709)

(0.303–2.403)

(0.260–14.06)

(0.232–3.247)

(0.869–2.982)

(0.765–2.681)

Status of health insurance (Ref.: statutory health insurance)

0.625+

0.772

0.938

1.162

  

0.738

0.874

(0.382–1.023)

(0.513–1.161)

(0.641–1.372)

(0.372–3.625)

  

(0.371–1.471)

(0.462–1.655)

Provided care for family/friends (Ref.: no)

0.840

0.737+

0.845

1.637

1.843

0.390+

0.520*

0.670

(0.609–1.160)

(0.531–1.024)

(0.638–1.120)

(0.754–3.552)

(0.274–12.41)

(0.131–1.161)

(0.304–0.891)

(0.398–1.128)

Level of care (Ref.: no)

0.622

1.026

0.787

0.734

  

1.005

1.737

(0.328–1.182)

(0.494–2.132)

(0.430–1.437)

(0.182–2.954)

  

(0.321–3.146)

(0.645–4.677)

Self-rated health (from ‘very bad’ to ‘very good’)

0.882

0.877

0.863+

1.409+

0.696

1.050

1.089

1.009

(0.740–1.053)

(0.734–1.047)

(0.741–1.005)

(0.953–2.084)

(0.264–1.832)

(0.591–1.868)

(0.816–1.454)

(0.762–1.337)

Involvement in the issue need for care (from ‘very little’ to ‘very much’)

0.953

1.064

0.908+

0.827

1.065

1.110

1.344**

1.167+

(0.851–1.066)

(0.949–1.192)

(0.823–1.003)

(0.634–1.079)

(0.558–2.033)

(0.780–1.581)

(1.109–1.630)

(0.971–1.401)

Constant

0.350

3.240

0.544

32.37

0.00193

204.3

31.01

5.131

(0.0231–5.299)

(0.188–55.86)

(0.0481–6.146)

(0.0809–12,946)

(3.40e−09–1095)

(0.142–294,745)

(0.358–2685)

(0.0745–353.6)

Observations

974

983

967

982

521

788

967

967

Pseudo R2

0.178

0.036

0.046

0.067

0.145

0.061

0.073

0.056

  1. Odd ratios were reported. 95% confidence intervals in parentheses
  2. Region was dropped (253 observations not used) since it predicts success perfectly. Place of birth was dropped (58 observations not used) since it predicts success perfectly. Status of health insurance was dropped (121 observations not used) since it predicts success perfectly. Level of care was dropped (32 observations not used) since it predicts success perfectly. Status of health insurance was dropped (141 observations not used) since it predicts success perfectly. Level of care was dropped (55 observations not used) since it predicts success perfectly. Observations with missing values were dropped (listwise deletion). *** p < 0.001, ** p < 0.01, * p < 0.05, + p < 0.10