Table 8. Coefficients of the variables that determine payments for deliveries in US $, Lubumbashi, DRC, 2014: Multilevel nonlinear model.
| Factors | Empty Model | Individual Model | Contextual Model | All factors Model | ||||
|---|---|---|---|---|---|---|---|---|
| Coef. | 95%IC | Coef. | 95%IC | Coef. | 95%IC | Coef. | 95%IC | |
| Vaginal delivery | ||||||||
| PNC (Yes/No) | 7.8 | 2.6 to 13.1** | 7.8 | 2.5 to 13.1** | ||||
| CVD vs UnVD | 9.2 | 5.6 to 12.7** | 9.0 | 5.5 to 12.6** | ||||
| Referral vs non referral | 13.1 | 4.0 to 22.3** | 12.8 | 3.6 to 21.9 | ||||
| Duration of stay(days) | ** | ** | ||||||
| 4–7 vs ≤ 3 | 1.7 | -1.9 to 5.3 | 1.6 | -2.0 to 5.2 | ||||
| ≥ 8 vs ≤ 3 | 16.8 | 8.1 to 25.5 | 16.8 | 8.1 to 25.5** | ||||
| Sources of financing | ** | ** | ||||||
| Couple vs Subscriber | 2.1 | -4.6 to 8.9 | 2.0 | -4.7 to 8.8 | ||||
| Relatives vs Subscriber | 14.2 | 8,5 to 20.0 | 14.2 | 8.5 to 20.0 | ||||
| Health Sector | $ | $ | ||||||
| Corporate vs public | 27.8 | -12.8 to 68.3 | 21.2 | -17.1 to 59.5 | ||||
| Private vs public | -28.4 | -63.1 to 6.2 | -25.2 | -58.0 to 7.6 | ||||
| Denominational vs public | -42.3 | -89.0 to 4.4 | -41.1 | -85.2 to 3.1 | ||||
| Type of HCF | * | * | ||||||
| GRH vs HC | -12.7 | -51.6 to 26.2 | -14.6 | -51.4 to 22.2 | ||||
| Sendwe vs HC | -10.2 | -57.8 to 37.4 | -9.6 | -54.6 to 35.3 | ||||
| UCL vs HC | 28.4 | -15.8 to 72.7 | 26.4 | -15.4 to 68.2 | ||||
| Polyclinic vs HC | 56.4 | 19.9 to 92.8 | 52.3 | 17.8 to 86.7 | ||||
| Service provider | $ | $ | ||||||
| General practitioner vs N-M | 13.0 | 0.7 to 25.4 | 9.9 | -2.6 to 22.3 | ||||
| Specialist vs N-M | 10.8 | -8.8 to 30.5 | 8.4 | -11.3 to 28.1 | ||||
| Random-effects Parameters | Esti | Est | Esti | Esti | ||||
| Health Sector: Identity [var(_cons)] | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 to 146 | |||
| HCF: Identity [var(_cons)] | 1416 | 591 to 3394 | 1197 | 499 to 2873 | 474 | 163 to 1376 | 412 | 134 to 1268 |
| Provider: Identity [var(_cons)] | 141 | 38 to 525 | 117 | 29 to 471 | 64 | 7 to 576 | 70 | 8 to 582 |
| var(Residual) | 687 | 636 to 744 | 632 | 584 to 684 | 688 | 636 to 745 | 632 | 585 to 684 |
| Cesarean-Section | ||||||||
| Sources of financing | ** | ** | ||||||
| Couple vs Subscriber | -21.5 | -72.6 to 29.5 | -16.4 | -64.5 to 31.6 | ||||
| Relatives vs Subscriber | 100.4 | 40.5 to 160.2 | 83.2 | 26.5 to 140.0 | ||||
| Referral vs non referral | 44.4 | 14.3 to 74.5 | 49.4 | 20.8 to 78.1** | ||||
| Sector | $ | $ | ||||||
| Corporate vs public | 53.4 | -6.3 to 112.5 | 2.9 | -55.8 to 61.7 | ||||
| Private vs public | -39.9 | -91.9 to 12.2 | -41.5 | -91.2 to 8.2 | ||||
| Religious vs public | 16.5 | -60.9 to 93.8 | 0.1 | -73.4 to 73.6 | ||||
| Type of HCF | * | ** | ||||||
| GRH vs HC | -51.3 | -102.9 to 0.2 | -45.7 | -94.1 to 2.7 | ||||
| Sendwe vs HC | -26.5 | -87.9 to 34.9 | -26.7 | -84.5 to 31.0 | ||||
| CUL vs HC | -91.7 | -167.5 to -15.9 | -106.5 | -176.4 to -36.6 | ||||
| Polyclinic vs HC | 105.4 | 62.8 to 147.9 | 94.1 | 54.2 to 134.1 | ||||
| Service provider (Specialist vs General practitioner) | 57.4 | 18.3 to 96.4** | 62.4 | 26.3 to 98.5** | ||||
| Random-effects Parameters | Esti | Est | Esti | Esti | ||||
| Health Sector: Identity [var(_cons)] | 0.0 | 0.0 to 2071 | 0.0 | 0.0 | ||||
| HCF: Identity [var(_cons)] | 4107 | 1015 to 16616 | 2265 | 381 to 13461 | 0.0 | 0.0 to 0.02 | 0.0 | |
| Provider: Identity [var(_cons)] | 958 | 88 to 10479 | 1329 | 193 to 9167 | 0.0 | 0.0 | 0.0 | 0.0 |
| var(Residual) | 5786 | 4394 to 7621 | 46167 | 3496 to 6098 | 5384 | 41067 to 7058 | 4254 | 3303 to 5479 |
Coef. = coefficients; Gp = General practitioner; N-M = Nurse-Midwife; $ = non-significant;
* = p < 0.05;
**: p < 0.001; Esti: estimations