Skip to main content

Table 3 Results of the multivariable analysis (negative binomial regression)

From: Understanding geographic variations in psychiatric inpatient admission rates: width of the variations and associations with the supply of health and social care in France

Variable

Estimated value of the coefficient

Standard error

95% Confidence interval of the coefficient

Exponentiated coefficient

P-value

Lower bound

Upper bound

Intercept

−9.6329

0.9758

−11.5455

−7.7203

 

< 0.0001

Epidemiological characteristics

Psychiatric health status of the population

Number of individuals suffering from chronic mental disorders (per 100,000 inhabitants)a

0.0000

0.0001

−0.0002

0.0003

1.0000

0.8069

Percentage of deaths by suicide among total deaths

0.0837

0.0283

0.0282

0.1391

1.0873

0.0031

Overall health status of the population (per 100,000 inhabitants)

Acute admission rate for somatic disorders

0.0000

0.0000

−0.0000

0.0000

1.0000

0.2079

Mortality rate

0.0014

0.0009

−0.0004

0.0032

1.0014

0.1223

Number of individuals suffering from chronic somaticdisorders

0.0000

0.0000

−0.0001

0.0000

1.0000

0.1868

Demographics of the population

Number of women (per 100,000 inhabitants)

0.0000

0.0000

−0.0000

0.0000

1.0000

0.9899

Mean age of individuals aged over 16

0.0166

0.0163

−0.0155

0.0486

1.0167

0.3109

Socio-economic characteristics of the population

Quintile of the mean deprivation index (FDep) (from lower to higher deprivation), reference: 5th quintile

1

0.2679

0.1399

−0.0064

0.5422

1.3072

0.0556

2

0.2941

0.1117

0.0751

0.5130

1.3419

0.0085

3

0.2939

0.1102

0.0779

0.5098

1.3416

0.0076

4

0.2944

0.1050

0.0886

0.5002

1.3423

0.0051

Characteristics of the supply of health and social care

Supply of public mental health care

Characteristics of the hospital to which each sector was linked

Private non-profit (vs. public)

0.4939

0.1990

0.1039

0.8840

1.6387

0.0131

Participation to teaching activities (vs. no participation)

−0.3929

0.1001

−0.5891

−0.1968

0.6751

< 0.0001

Specialization in psychiatry (vs. general hospital)

−0.3476

0.0721

−0.4890

−0.2062

0.7064

< 0.0001

Participation to emergency care (vs. no participation)

0.2215

0.1068

0.0122

0.4307

1.2479

0.0380

Number of inpatient beds in the hospital (per 100,000 inhabitants)c

0.0046

0.0025

−0.0002

0.0095

1.0046

0.0609

Supply of private mental health care (per 100,000 inhabitants)

Number of community-based private psychiatristsb

−0.0202

0.0055

−0.0310

−0.0094

0.9800

0.0003

Number of psychologists

0.0011

0.0008

−0.0005

0.0026

1.0011

0.1678

Number of psychiatric inpatient beds in private for-profit hospitalsa

−0.0013

0.0020

−0.0052

0.0026

0.9987

0.5059

Supply of non-specialized care (per 100,000 inhabitants)

Number of general practitionersb

−0.0009

0.0023

−0.0054

0.0035

0.9991

0.6777

Number of non-psychiatric inpatient beds

0.0001

0.0001

−0.0001

0.0002

1.0001

0.5699

Supply of social care (per 100,000 inhabitants)

Number of beds in housing institutions for disabled individuals

0.0012

0.0006

0.0001

0.0023

1.0012

0.0335

Capacity of centres providing care through employment

0.0003

0.0007

−0.0010

0.0017

1.0003

0.6101

Capacity of housing and social rehabilitation centres

−0.0001

0.0008

−0.0017

0.0015

0.9999

0.8884

Level of urbanization

Level of urbanization (from lower to higher urbanization), reference: 6th quantile

1

−0.0818

0.1147

−0.3066

0.1429

0.9215

0.4754

2

−0.0664

0.1448

−0.3503

0.2174

0.9358

0.6463

3

−0.0456

0.3700

−0.7709

0.6796

0.9554

0.9018

4

−0.1111

0.5310

−1.1518

0.9296

0.8948

0.8343

5

−0.1557

0.1118

−0.3749

0.0634

0.8558

0.1637

  1. a and b Significant correlations were observed between these variables. However, corresponding correlation coefficients were weak and there were strong hypotheses on associations of these variables with psychiatric inpatient admission rates so they were all introduced in the model. cThe number of inpatient beds per 100,000 inhabitants of the catchment area was highly correlated with the total number of full-time equivalents allocated to psychiatric care by the hospital to which each sector was linked per 100,000 inhabitants of the catchment area. We therefore only introduced the number of beds in the model
Back to article page

BMC Psychiatry

ISSN: 1471-244X

Contact us