Table 3 Multivariable multinomial logistic regression analysis of associated factors on women’s autonomy in health care decision making (adjusted odds ratio)

Residence

Urban

3.579 (3.032, 4.224)***

1.987 (1.553, 2.543)***

1.522 (1.362, 1.700)***

1.366 (1.138, 1.640)***

Rural^®

1

1

1

1

Region

Tigray

1.245 (.877, 1.767)

1.766 (1.177, 2.649)**

1.384 (1.064, 1.799)*

1.538** (1.141, 2.073)

Afar

.486 (.343, .687)***

.974 (.673, 1.408)

1.164 (.878, 1.543)

1.422* (1.056, 1.915)

Amhara

.737 (.510, 1.063)

1.172 (.776, 1.770)

.567 (.428, .750)***

.685 (.501, .935)*

Oromia

.476 (.337, .673)***

.748 (.517, 1.084)

.595 (.452, .783)***

.703 (.526, .941)*

Somali

.994 (.715, 1.382)

1.797 (1.267, 2.550)**

2.333 (1.800, 3.022)***

2.742 (2.084, 3.608)***

Benishangul

.576 (.399, .831)**

.791 (.534, 1.172)

.826 (.617, 1.106)***

.848 (.622, 1.156)

SNNP

.684 (.491, .954)*

1.074 (.730, 1.580)

1.134 (.874, 1.471)

1.425 (1.056, 1.923)*

Gambela

.911 (.644, 1.289)

1.216 (.818, 1.808)

2.143 (1.627, 2.824)***

2.500 (1.836, 3.403)***

Harari

.971 (.601, 1.568)

1.082 (.665, 1.762)

.432 (.305, .613)***

.454 (.319, .646)***

Addis Ababa

3.748 (2.473, 5.680)***

1.957 (1.250, 3.062)**

2.114 (1.617, 2.762)***

1.855 (1.394, 2.467)***

Dire Dawa^®

1

1

1

1

Education level

No education

.254 (.181, .357)***

.678 (.459, 1.000)*

.704 (.572, .865)***

.951 (.740, 1.221)

Primary

.407 (.286, .580)***

.996 (681, 1.457)

.809 (.652, 1.004)

1.193 (.940, 1.515)

Secondary

.796 (.528, 1.201)

1.320 (.863, 2.019)

.962 (.750, 1.234)

1.147 (.884, 1.488)

Higher^®

1

1

1

1

Religion

Orthodox

2.342 (1.451, 3.780)***

1.182 (.706, 1.978)

.554 (.349, .879)*

.551 (.338, .900)*

Catholic

1.903 (.729, 4.968)

1.371 (.514, 3.660)

.566 (.256, 1.250)

.503 (.223, 1.133)

Protestant

1.403 (.861, 2.285)

1.004 (.607, 1.663)

.545 (.340, .872)*

.450 (.277, .732)***

Muslim

1.365 (.849, 2.193)

1.167 (.702, 1.941)

.541 (.341, .857)**

.571 (.350, .929)*

Other^®

1

1

1

1

Wealth index

Poor

.417 (.361, .481)***

.877 (.718, 1.072)

.007 (.901, 1.125)*

1.262 (1.071, 1.486)**

Middle

.545 (.441, .673)***

1.139 (.891, 1.455)

.821 (.696, .967)*

1.305 (1.071, 1.590)**

Rich^®

1

1

1

1

Work status

Housewife

.459 (.399, .528)***

.549 (.472, .639)***

.651 (.585, .724)***

.649 (.577, .729)***

Employed^®

1

1

1

1

Age category

15–24 years

.718 (.606, .851)***

.676 (.561, .816)***

.809 (.704, .930)**

.762 (.654, .889)***

25–34 years

.940 (.810, 1.092)

.892 (.764, 1.041)

.874 (.776, .984)*

.840 (.742, .950)**

35–49 years^®

1

1

1

1