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Les déterminants de la prise en charge médical du paludisme au Gabon: cas des enfants de moins de cinq ans

( Télécharger le fichier original )
par Hassan MOHAMEDOU
Université de Yaoundé II( Cameroun) - DESS de Démographie 2007
  

précédent sommaire

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ANNEXE

if (v106=1) prim=1. if (v106<>1) prim=0. if (v106=2) secon=1. if (v106<>2) secon=0.

factor var= inac tech com agri cadre ouv mere pere ensem aut

res / extraction pc/criteria factors (1)/print all/save reg (1 fact). freq fact1/Ntiles 4.

rec fact1 (lo thru -0.76=1) (-0.7599 thru 1.044=2) (1.0449 thru hi=3).

var lab fact1"pouvoir financier de la femme". val lab fact1 1"faible" 2"moyen" 3"eleve". fre fact1.

if (fact1=1) faible=1. if (fact1<>1) faible=0. if (fact1=2) moyen=1. if (fact1<>2) moyen=0. if (fact1=3) eleve=1. if (fact1<>3) eleve=0.

rec v201 (1,2,3=1) (4,5,6=2) (7,8,9=3) (10 thru hi=4) (else=sysmis). var lab v201 "parite".

val lab v201 1"par1" 2"par2" 3"par3" 4"par4".

if (v201=1) par1=1. if (v201<>1) par1=0. if (v201=2) par2=1. if (v201<>2) par2=0. if (v201=3) par3=1. if (v201<>3) par3=0. if (v201=4) par4=1. if (v201<>4) par4=0.

rec v012 (15 thru 19=1) (20 thru 24=2) (25 thru 29=3) (30 thru 34=4) (35 thru 39=5) ( 40 thru 49=6) (else=sysmis).

var lab v012 "age".

if (v012=1) age1=1. if (v012<>1) age1=0. if (v012=2) age2=1. if (v012<>2) age2=0. if (v012=3) age3=1. if (v012<>3) age3=0. if (v012=4) age4=1. if (v012<>4) age4=0. if (v012=5) age5=1. if (v012<>5) age5=0. if (v012=6) age6=1. if (v012<>6) age6=0.

factor var= par1 par2 par3 par4 age1 age2 age3 age4 age5 age6/ extraction pc/ criteria factors (1)/print all/save reg (1 factor).

freq factor1/Ntiles 4.

rec factor1 (lo thru -0.886=1) (-0.88599 thru -0.295=2) (-0.29499 thru 0.833=3) (0.83309 thru hi=4).

var lab factor1"exprience".

val lab factor1 1"pasex" 2"peuex" 3"moyexp" 4"grdexp".

fre factor1.

if (factor1=1) pasex=1. if (factor1<>1) pasex=0. if (factor1=2) peuex=1. if (factor1<>2) peuex=0. if (factor1=3) moyexp=1. if (factor1<>3) moyexp=0. if (factor1=4) grdexp=1. if (factor1<>4) grdexp=0.

rec h22 (0,8=0) (1=1) (else=sysmis). fre h22.

select if (h22=1).

rec pharh (1=0) (2=1) (else=sysmis). var lab pharh " pharcih".

if (pharh=0) phar1=1. if (pharh <>0) phar1=0. if (pharh=1) phar2=1. if (pharh <>1) phar2=0.

rec cnph (1=0) (2=1) (else=sysmis). var lab cnph " pharmcn".

if (cnph=0) cnph1=1. if (cnph <>0) cnph1=0. if (cnph=1) cnph2=1. if (cnph <>1) cnph2=0.

rec cli (1=0) (2=1) (else=sysmis). var lab cli " cliniq".

if (cli=0) cli1=1. if (cli <>0) cli1=0. if (cli=1) cli2=1. if (cli <>1) cli2=0.

rec mil (1=0) (2=1) (else=sysmis). var lab mil "militer".

if (mil=0) mil1=1. if (mil <>0) mil1=0. if (mil=1) mil2=1. if (mil <>1) mil2=0.

rec hop (1=0) (2=1) (else=sysmis). var lab hop "hopital".

if (hop=0) hop1=1. if (hop <>0) hop1=0. if (hop=1) hop2=1. if (hop <>1) hop2=0.

rec cab (1=0) (2=1) (else=sysmis). var lab cab "cabinet".

if (cab=0) cab1=1. if (cab <>0) cab1=0. if (cab=1) cab2=1. if (cab <>1) cab2=0.

rec infi (1=0) (2=1) (else=sysmis). var lab infi "infirmer".

if (infi=0) infi1=1.

if (infi <>0) infi1=0. if (infi =1) infi2=1. if (infi <>1) infi2=0.

rec pha (1=0) (2=1) (else=sysmis). var lab pha " pharmac".

if (pha=0) pha1=1. if (pha <>0) pha1=0. if (pha=1) pha2=1. if (pha <>1) pha2=0.

rec smi (1=0) (2=1) (else=sysmis). var lab smi " santem".

if (smi=0) smi1=1. if (smi <>0) smi1=0. if (smi=1) smi2=1. if (smi <>1) smi2=0.

rec presc (1=0) (2=1) (else=sysmis). var lab presc "prescri".

if (presc=0) presc1=1. if (presc <>0) presc1=0. if (presc=1) presc2=1. if (presc <>1) presc2=0.

rec disp (1=0) (2=1) (else=sysmis). var lab disp "dispense".

if (disp=0) disp1=1. if (disp <>0) disp1=0. if (disp=1) disp2=1. if (disp <>1) disp2=0.

rec sour (1=0) (2=1) (else=sysmis). var lab sour " lieu".

if (sour=0) sou1=1. if (sour <>0) sou1=0. if (sour=1) sou2=1. if (sour <>1) sou2=0.

rec chlo (1=0) (2=1) (else=sysmis). var lab chlo " chloro".

if (chlo=0) chlo1=1. if (chlo <>0) chlo1=0. if (chlo=1) chlo2=1. if (chlo <>1) chlo2=0.

rec arqu (1=0) (2=1) (else=sysmis). var lab arqu" arquis".

if (arqu=0) arq1=1. if (arqu<>0) arq1=0. if (arqu=1) arq2=1. if (arqu<>1) arq2=0.

rec qui (1=0) (2=1) (else=sysmis). var lab qui " quinimax".

if (qui=0) qui1=1. if (qui <>0) qui1=0. if (qui=1) qui2=1. if (qui <>1) qui2=0.

rec autre (1=0) (2=1) (else=sysmis).

var lab autre " autrean". if (autre=0) aut1=1.

if (autre <>0) aut1=0. if (autre=1) aut2=1. if (autre <>1) aut2=0.

rec dist (1=0) (2=1) (else=sysmis).

var lab dist " distance". if (dist=0) dis1=1.

if (dist <>0) dis1=0. if (dist=1) dis2=1. if (dist <>1) dis2=0.

rec moyen (1=0) (2=1) (else=sysmis).

var lab moyen " deplace". if (moyen=0) moy1=1.

if (moyen <>0) moy1=0. if (moyen=1) moy2=1. if (moyen <>1) moy2=0.

rec dure (1=0) (2=1) (else=sysmis).

var lab dure " duredep". if (dure=0) dur1=1.

if (dure <>0) dur1=0. if (dure=1) dur2=1. if (dure <>1) dur2=0.

comp accegeo= dist + dure. fre accegeo.

rec accegeo (0=0) (1,2=1) (else=sysmis).

if (accegeo=0) facil=1. if (accegeo<>0) facil=0. if (accegeo=1) assezf=1. if (accegeo<>1) assezf=0. fre accegeo.

com traite= chlo+ arqu + qui + autre. fre traite.

rec traite (0,3=0) (1,2=1).

val lab traite 0" ntraite" 1" traim". fre traite.

compute source= cli + mil + hop + cab + infi + pha + smi + disp. fre source.

rec source (0=0) (1,2=1).

val lab source 0" nsour" 1" sour".

fre source.

compute prise= traite * source.

fre prise.

val lab prise 0"mauvaise" 1"bonne".

fre prise.

cro tab fact1 by v704/cells cou col row/sta 1 3 4.

fre source/sta all. fre traite/sta all. fre prise/sta all.

ACCEGEO

V024 region

Estimation terminated at iteration number 4 because Log Likelihood decreased by less than .01 percent.

Chi-Square df Significance

-2 Log Likelihood 1382.620 1027 .0000

Model Chi-Square 96.358 40 .0000

Improvement 96.358 40 .0000

Goodness of Fit 1062.850 1027 .2107

Page 352 SPSS/PC+ 10/20/ 8

Classification Table for PRISE

Predicted

mauvaise bonne Percent Correct

m 3 b

Observed ÅÄÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄÅ

mauvaise m 3 354 3 197 3 64.25%

ÄÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄ

bonne b 3 218 3 298 3 57.75%

Å

Overall 61.11%

Page 353 SPSS/PC+ 10/20/ 8

Variables in the Equation

Variable B S.E. Wald df Sig R Exp(B)

V026

 
 

1.9526

2

.3767

.0000

 

V026(1)

.0054

.2660

.0004

1

.9839

.0000

1.0054

V026(2)

-.2903

.3084

.8861

1

.3465

.0000

.7481

V103

 
 

2.9644

3

.3971

.0000

 

V103(1)

.2422

.1759

1.8966

1

.1685

.0000

1.2741

V103(2)

.3342

.2127

2.4699

1

.1160

.0178

1.3968

V103(3)

.1666

.3809

.1913

1

.6618

.0000

1.1813

V106

 
 

3.5897

2

.1662

.0000

 

V106(1)

-.0673

.3636

.0342

1

.8532

.0000

.9349

V106(2)

.2714

.1487

3.3303

1

.0680

.0300

1.3118

V130

 
 

9.5490

4

.0487

.0324

 

V130(1)

-.1115

.1535

.5281

1

.4674

.0000

.8945

V130(2)

.7440

.3649

4.1566

1

.0415

.0382

2.1043

V130(3)

-.5109

.9228

.3065

1

.5798

.0000

.6000

V130(4)

-.5066

.2440

4.3124

1

.0378

-.0395

.6025

V131

 
 

9.6026

8

.2940

.0000

 

V131(1)

-.1729

.2028

.7268

1

.3939

.0000

.8413

V131(2)

-.3902

.2962

1.7350

1

.1878

.0000

.6769

V131(3)

-.2394

.3035

.6219

1

.4303

.0000

.7871

V131(4)

-.8430

.4834

3.0409

1

.0812

-.0265

.4304

V131(5)

-.1428

.2541

.3159

1

.5741

.0000

.8669

V131(6)

.4494

.4223

1.1323

1

.2873

.0000

1.5674

V131(7)

.8681

.6162

1.9848

1

.1589

.0000

2.3825

V131(8)

.0611

.3603

.0288

1

.8653

.0000

1.0630

V136

 
 

2.1403

2

.3430

.0000

 

V136(1)

.0748

.1462

.2619

1

.6088

.0000

1.0777

V136(2)

.4473

.3097

2.0863

1

.1486

.0076

1.5641

V504

 
 

3.4897

2

.1747

.0000

 

V504(1)

-.3511

.2008

3.0571

1

.0804

-.0267

.7039

V504(2)

-5.7721

8.4317

.4686

1

.4936

.0000

.0031

V505

 
 

1.1709

2

.5569

.0000

 

V505(1)

-6.0319

8.4327

.5117

1

.4744

.0000

.0024

V505(2)

-5.8567

8.4314

.4825

1

.4873

.0000

.0029

V705

 
 

15.3828

6

.0175

.0478

 

V705(1)

-.4391

.2454

3.2000

1

.0736

-.0285

.6446

V705(2)

-.6928

.2954

5.5008

1

.0190

-.0487

.5002

V705(3)

-.3146

.2960

1.1300

1

.2878

.0000

.7301

V705(4)

-.3034

.2308

1.7282

1

.1886

.0000

.7383

V705(5)

-.1578

.2585

.3728

1

.5415

.0000

.8540

V705(6)

-.8470

.2411

12.3395

1

.0004

-.0836

.4287

FACTOR1

 
 

7.7778

3

.0508

.0347

 

FACTOR1(1)

.1863

.1689

1.2171

1

.2699

.0000

1.2048

FACTOR1(2)

-.3058

.2084

2.1534

1

.1423

-.0102

.7365

FACTOR1(3)

.2600

.1820

2.0416

1

.1531

.0053

1.2969

FACT1

 
 

.3084

2

.8571

.0000

 

Page 354

 
 

SPSS/PC+

 
 
 

10/20/ 8

FACT1(1)

.0596

.1728

.1190

1

.7302

.0000

1.0614

FACT1(2)

-.0565

.1760

.1032

1

.7480

.0000

.9450

ACCEGEO(1)

.0512

.2037

.0632

1

.8016

.0000

1.0525

V024

 
 

14.7182

3

.0021

.0768

 

V024(1)

-.9457

.3291

8.2589

1

.0041

-.0651

.3884

V024(2)

.2302

.3085

.5570

1

.4555

.0000

1.2589

V024(3)

-.1410

.2981

.2237

1

.6363

.0000

.8685

Constant

6.1518

8.4391

.5314

1

.4660

 
 

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