Table 5 Multiple logistic regression analysis: relative influence of demand- and supply-side factors on the likelihood of incurring excessive out-of-pocket expenditure (OOPs) for outpatient care

Poorest (vs. Wealthiest)

0.023^*

 Poorer

0.022^*

 Middle

0.031^*

 Wealthier

0.012^*

Highest education of hh head: Primary (vs. None)

0.500^ns

 Secondary

0.291^ns

 Tertiary

0.963^ns

Owns a transportation mean

0.002^*

Large household size (≥6)

0.042^*

Days lost: Less than a week (vs. Zero)

0.441^ns

 Days lost: A week to less than a month

0.152^ns

 Days lost: One month or above

0.005^*

Private sector (vs. Public sector)

0.348^ns

 Informal sector

0.584^ns

Total number of paid visits

0.570^ns

Share of OOPs on drugs

0.007^*

Equateur (vs. Maniema/Orientale)

0.000^***

 Kasai Occidental/Oriental

0.011^*

Male (vs. Female)

0.177^ns

Head of household

0.722^ns

Under 5 years old

0.003^*

50+ years old

0.658^ns

HF has functional X-ray

0.081^ns

HF has functional ultrasound

0.010^ns

HF has functional microscopes

0.747^ns

HF has functional sterilisers

0.770^ns

HF has functional centrifuges

0.021^*

HF avg. price for care services

0.085^ns

Long travel time (30+ min)

0.304^ns

HF level 1: Health center

0.181^ns

HF at Operational level 2 (Hôpital Général de Référence)

0.011^*

Lowest dissatifaction (index score 1) (vs. No dissatisfaction)

0.063^ns

 Dissatisfaction index score 2

0.063^ns

 Dissatisfaction index score 3

0.082^ns

 Dissatisfaction index score 4

0.013^*

 Highest dissatifaction (index score 5)

0.090^ns

Constant

0.485^ns