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Table 7 Methods of long term family planning (Implants and combined LTFP) related access: multivariate response model

From: Accessibility of long-term family planning methods: a comparison study between Output Based Approach (OBA) clients verses non-OBA clients in the voucher supported facilities in Kenya

Independent Variable

Dependent Variable

Implants

Combined LTFP

Bc

LB

UB

B

LB

UB

 

Intercept

25.735*

−4.833

56.303

28.078*

−2.985

59.140

Facility Level

(Ref: 2)

      
 

3

−10.401

−40.780

19.978

−11.734

−42.605

19.137

 

4

−16.139

−46.525

14.247

−17.042

−47.919

13.836

 

5

−14.566

−45.153

16.021

−14.651

−45.733

16.431

Management Level

(Ref: Gok1)

      
 

Mission2

6.244

−24.053

36.540

7.031

−23.756

37.817

 

NGO3

91.769

61.304

122.233

99.038

68.080

129.995

 

Private

14.524

−15.744

44.791

16.921

−13.837

47.678

Month of registration

(Ref: Jan)

      
 

Feb

−11.386

−41.767

18.995

−10.760

−41.633

20.113

 

March

−11.454

−41.838

18.930

−10.896

−41.772

19.979

 

April

−10.686

−41.075

19.702

−10.059

−40.939

20.822

 

June

−10.007

−40.381

20.367

−9.245

−40.111

21.621

 

June

−11.498

−41.867

18.871

−10.762

−41.623

20.098

 

July

−10.603

−40.975

19.770

−9.787

−40.651

21.077

 

Aug

−10.865

−41.231

19.501

−10.071

−40.929

20.786

 

Sept

−9.691

−40.056

20.673

−9.314

−40.170

21.542

 

Oct

−9.386

−39.750

20.978

−8.609

−39.464

22.247

 

Nov

−10.103

−40.480

20.274

−9.410

−40.278

21.459

 

Dec

−15.297

−45.682

15.088

−15.270

−46.146

15.607

Year of reg

(Ref: 2014)

      
 

2008

−14.287

−21.248

−7.325

−15.343

−22.417

−8.269

 

2009

−15.489

−18.658

−12.319

−16.212

−19.433

−12.991

 

2010

−4.620

−7.587

−1.652

−4.135

−7.151

−1.119

 

2011

1.468

−1.032

3.969

2.259*

-.283

4.800

 

2012

5.904

3.370

8.438

6.424

3.849

8.999

 

2013

.161

−1.934

2.257

-.213

−2.342

1.917

 

2015

−1.959*

−3.972

.054

−1.815*

−3.860

.231

County of residence

(Ref: Kilifi)

      
  

−9.307

−11.617

−6.997

−12.214

−14.562

−9.867

 

Kisumu

7.417

5.287

9.548

4.070

1.905

6.235

 

Kitui

−8.072

−10.209

−5.934

−10.651

−12.823

−8.479

 

Mwingi

−10.493

−13.488

−7.498

−13.014

−16.057

−9.970

 

Nairobi

−15.212

−18.147

−12.277

−18.923

−21.906

−15.941

 

Nyando

−3.391*

−6.294

-.487

−5.576

−8.527

−2.625

Variance explained (R2)

 

19.7%

  

20.9%

  
  1. c. The B values shown are interpreted directly: for instance, 4.468 for NGO on BTL means that for every 91.769 unit increase in access of BTL by individual in NGO there is a 1 unit increase in access of BTL by individuals in GOK, after adjusting for other variables such as facility level, Month of registration, year of registration, and county of residence
  2. d. The bold values are significant at p < 0.05 while the bold values that have an asterisk (*) mark are significant at p = 0.1