Skip to main content

Table 6 Methods of long term family planning (BTL, Vasectomy, IUCD) 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

BTL

Vasectomy

IUCD

Ba

LB

UB

B

LB

UB

B

LB

UB

 

Intercept

.948

−2.212

4.107

-.035

-.510

.440

1.650

−1.916

5.216

Facility Level

(Ref: 2)

         
 

3

-.028

−3.168

3.111

-.013

-.486

.459

−1.111

−4.656

2.433

 

4

.043

−3.097

3.184

.059

-.413

.532

-.998

−4.543

2.547

 

5

1.757

−1.404

4.919

-.017

-.492

.459

−1.222

−4.791

2.347

Management Level

(Ref: Gok1)

         
 

Mission2

.182

−2.949

3.314

.015

-.456

.486

.667

−2.868

4.201

 

NGO3

4.468 b

1.320

7.617

.096

-.378

.570

3.275*

-.280

6.829

 

Private

.657

−2.472

3.785

.010

-.461

.480

1.616

−1.916

5.147

Month of registration

(Ref: Jan)

         
 

Feb

-.808

−3.948

2.332

.003

-.469

.476

1.287

−2.258

4.831

 

March

−1.041

−4.181

2.099

.011

-.462

.483

1.162

−2.383

4.707

 

April

−1.091

−4.232

2.050

.005

-.467

.478

1.286

−2.259

4.832

 

June

−1.016

−4.155

2.124

.028

-.444

.500

1.447

−2.097

4.991

 

June

-.888

−4.027

2.250

.021

-.452

.493

1.273

−2.270

4.816

 

July

-.934

−4.073

2.205

.006

-.467

.478

1.377

−2.166

4.921

 

Aug

-.656

−3.795

2.482

.059

-.413

.531

1.326

−2.216

4.869

 

Sept

-.856

−3.995

2.282

.019

-.453

.491

1.573

−1.970

5.115

 

Oct

-.972

−4.110

2.166

.009

-.463

.481

1.443

−2.100

4.985

 

Nov

-.993

−4.132

2.147

.007

-.465

.480

1.478

−2.066

5.022

 

Dec

−1.125

−4.265

2.015

.006

-.466

.479

.864

−2.681

4.409

Year of reg

(Ref: 2014)

         
 

2008

.115

-.604

.835

-.021

-.129

.087

−1.358

−2.170

-.546

 

2009

.281

-.046

.609

-.029

-.078

.020

−1.228

−1.598

-.859

 

2010

.470

.164

.777

-.019

-.066

.027

-.187

-.534

.159

 

2011

.669

.410

.927

-.034

-.072

.005

.196

-.096

.488

 

2012

.772

.510

1.033

-.020

-.059

.019

.225

-.070

.521

 

2013

.033

-.184

.249

-.016

-.048

.017

-.053

-.297

.192

 

2015

-.015

-.223

.193

.030

-.001

.061

.120

-.115

.355

County of residence

(Ref: Kiambu)

         
 

Kilifi

-.183

-.421

0.56

.088

.052

.124

−2.889

−3.158

−2.619

 

Kisumu

-.335

-.555

-.115

.003

-.030

.036

−2.789

−3.038

−2.540

 

Kitui

.276

.055

.497

.026

-.008

.059

−2.986

−3.235

−2.736

 

Mwingi

-.004

-.314

.306

.009

-.038

.055

−2.907

−3.257

−2.558

 

Nairobi

−1.511

−1.815

−1.208

.002

-.044

.048

−2.115

−2.457

−1.772

 

Nyando

-.173

-.473

.127

.002

-.043

.047

−2.179

−2.518

−1.841

Variance explained (R2)

 

6.3%

  

0.9%

  

8.8%

  
  1. a. The B values shown are interpreted directly: for instance, 4.468 for NGO on BTL means that for every 4.468 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. b. The bold values are significant at p < 0.05 while the bold values that have an asterisk (*) mark are significant at p = 0.1
Back to article page

BMC Health Services Research

ISSN: 1472-6963

Contact us