Background
Methods
Study Site
Basic DEA Model
Two-Stage DEA Analysis
Data
Results
Descriptive results
Mean | Standard Deviation | Minimum | Maximum | |
---|---|---|---|---|
Inputs:
| ||||
Personnel Cost [US$] | 6,282 | 4,956 | 3,124 | 24,768 |
Area [m2] | 155 | 70 | 52 | 363 |
Equipment Depreciation [US$] | 2,509 | 1,291 | 858 | 5,278 |
Vaccine [US$] | 14,814 | 10,002 | 2,809 | 52,171 |
Outputs:
| ||||
Number of General Consultations | 2,226 | 1,098 | 825 | 4,654 |
Number of Deliveries | 369 | 226 | 40 | 897 |
Number of other Care | 2,941 | 1,804 | 380 | 6,422 |
Number of Vaccinations | 6,943 | 8,400 | 588 | 41,231 |
First stage DEA
3 inputs & 3 outputs | 4 inputs & 4 outputs | ||||||
---|---|---|---|---|---|---|---|
DMU
|
Score
|
Reference set
|
λ
|
DMU
|
Score
|
Reference set
|
λ
|
Bagala | 0.5115 | Dara | 0.0001 | Bagala | 0.5207 | Dara | 0.1089 |
Berma | 0.0276 | Bomborokuy | 0.0001 | ||||
Doumbala | 0.0001 | Nian | 0.0001 | ||||
Dembo | 0.0001 | ||||||
Berma | 0.1989 | ||||||
Barani | 1 | Barani | 1 | ||||
Berma | 1 | Berma | 1 | ||||
Bomborokuy | 1 | Bomborokuy | 1 | ||||
Borekuy | 0.7310 | Berma | 0.3304 | Borekuy | 0.7703 | Dembo | 0.1104 |
Doumbala | 0.2575 | Berma | 0.3070 | ||||
Bourasso | 0.0001 | ||||||
Bourasso | 1 | Bourasso | 1 | ||||
Dara | 1 | Dara | 1 | ||||
Dembo | 1 | Dembo | 1 | ||||
Djibasso | 0.5834 | Berma | 0.8827 | Djibasso | 0.5867 | Nian | 0.0001 |
Barani | 0.1390 | Berma | 0.8071 | ||||
Bourasso | 0.3897 | Barani | 0.1369 | ||||
Bourasso | 0.3834 | ||||||
Dokuy | 0.5750 | Barani | 0.2938 | Dokuy | 0.5844 | Dembo | 0.0001 |
Bourasso | 0.1532 | Barani | 0.21551 | ||||
Bourasso | 0.2029 | ||||||
Doumbala | 1 | Doumbala | 1 | ||||
Gassingo | 0.3693 | Bourasso | 0.1931 | Gassingo | 0.7624 | Nian | 0.0001 |
Ira | 0.0001 | Bourasso | 0.1826 | ||||
Goni | 0.4444 | Berma | 0.3535 | Goni | 0.9934 | Nian | 0.0001 |
Bourasso | 0.2295 | ||||||
Nouna | 0.0001 | ||||||
Ira | 1 | Ira | 1 | ||||
Kienekuy | 0.8358 | Berma | 0.2824 | Kienekuy | 0.8429 | Dembo | 0.2042 |
Doumbala | 0.5063 | Berma | 0.4364 | ||||
Barani | 0.0001 | ||||||
Doumbala | 0.0001 | ||||||
Konankoira | 0.4018 | Berma | 0.4788 | Konankoira | 0.8018 | Dara Bourasso | 0.4625 0.1647 |
Nouna | 0.0394 | ||||||
Konkuy Koro | 0.6578 | Barani | 0.2611 | Konkuy Koro | 0.7437 | Dembo | 0.2322 |
Bourasso | 0.2284 | Berma | 0.0001 | ||||
Barani | 0.0001 | ||||||
Bourasso | 0.1865 | ||||||
Koro | 0.8362 | Dembo | 0.5192 | Koro | 0.611 | Dara | 0.3958 |
Barani | 0.3573 | Nian | 0.0001 | ||||
Dembo | 0.5996 | ||||||
Lekuy | 1 | Lekuy | 1 | ||||
Nian | 0.9047 | Berma | 0.8076 | Nian | 1 | ||
Barani | 0.0001 | ||||||
Bourasso | 0.0876 | ||||||
Nouna | 0.6567 | Dara | 0.1309 | Nouna | 1 | ||
Berma | 0.3366 | ||||||
Doumbala | 0.3082 | ||||||
Sono | 0.5764 | Dembo | 0.1255 | Sono | 0.6457 | Dembo | 0.2563 |
Berma | 0.0001 | Berma | 0.1310 | ||||
Barani | 0.2546 | Barani | 0.0001 | ||||
Bourasso | 0.0001 | ||||||
Toni | 0.7911 | Bourasso | 0.5808 | Toni | 0.9069 | Dara | 0.0001 |
Ira | 0.2482 | Nian | 0.0001 | ||||
Berma | 0.1567 | ||||||
Nourasso | 0.5537 | ||||||
Nouna | 0.0001 | ||||||
Werebere | 0.8493 | Berma | 0.3298 | Werebere | 0.8611 | Dembo | 0.1675 |
Doumbala | 0.3773 | Berma | 0.4236 | ||||
Bourasso | 0.0001 | ||||||
Yevedougou | 0.2454 | Berma | 0.2734 | Yevedougou | 0.5996 | Nian | 0.0001 |
Bourasso | 0.2090 | ||||||
Nouna | 0.0001 |
DMU | Score | Input/Output | Original data | Projection | Difference (%) |
---|---|---|---|---|---|
Dokuy | 0.8690 | Personnel costs | 5,208 | 4,526 | -13.10 |
Area | 114 | 99 | -13.10 | ||
Equipment | 5,278 | 1,709 | -67.61 | ||
Vaccine | 16,214 | 14,089 | -13.10 | ||
Outpatient | 1,247 | 1,727 | 38.46 | ||
Deliveries | 237 | 391 | 65.15 | ||
Other | 2,485 | 2,485 | 0.00 | ||
Vaccination | 8,401 | 8,401 | 0.00 | ||
Kienekuy | 0.9733 | Personnel costs | 3,566 | 3,471 | -2.67 |
Area | 189 | 153 | -19,21 | ||
Equipment | 1,921 | 1,870 | -2.67 | ||
Vaccine | 14,635 | 13,449 | -8.10 | ||
Outpatient | 1,904 | 1,9949 | 2.36 | ||
Deliveries | 413 | 413 | 0.00 | ||
Other | 2,725 | 2,725 | 0.00 | ||
Vaccination | 4,987 | 4,987 | 0.00 | ||
Konankoira | 0.8126 | Personnel costs | 4,680 | 3,685 | -21.27 |
Area | 158 | 128 | -18.74 | ||
Equipment | 2,019 | 1,211 | -40.00 | ||
Vaccine | 7,861 | 6,388 | -18.74 | ||
Outpatient | 1,445 | 1,445 | 0.00 | ||
Deliveries | 249 | 249 | 0.00 | ||
Other | 1,172 | 2,541 | 116.84 | ||
Vaccination | 2,028 | 3,730 | 83.95 | ||
Konkuy Koro | 0.9162 | Personnel costs | 8,074 | 5,205 | -35.54 |
Area | 102 | 93 | -8.38 | ||
Equipment | 2,635 | 2,414 | -8.38 | ||
Vaccine | 9,134 | 8,368 | -8.38 | ||
Outpatient | 1,511 | 2,220 | 46.90 | ||
Deliveries | 214 | 227 | 5.88 | ||
Other | 2,568 | 2,568 | 0.00 | ||
Vaccination | 2,648 | 3,348 | 26.44 | ||
Koro | 0.9630 | Personnel costs | 6,264 | 5,301 | -15.37 |
Area | 200 | 186 | -6.77 | ||
Equipment | 3979 | 2,030 | -48.97 | ||
Vaccine | 13.450 | 12,952 | -3.70 | ||
Outpatient | 1,612 | 2350 | 45.76 | ||
Deliveries | 391 | 479 | 22.61 | ||
Other | 5,600 | 5,600 | 0.00 | ||
Vaccination | 7,817 | 7,817 | 0.00 | ||
Sono | 0.7966 | Personnel costs | 4,853 | 3865,84 | -20.34% |
Area | 142 | 113 | -20.34% | ||
Equipment | 4,628 | 1,222 | -79.59% | ||
Vaccine | 15.100 | 12,029 | -20.34 | ||
Outpatient | 1,452 | 1,525 | 4.99 | ||
Deliveries | 322 | 343 | 6.37 | ||
Other | 2,713 | 2,713 | 0.00 | ||
Vaccination | 3,943 | 4,334 | 9.90 | ||
Toni | 0.9403 | Personnel costs | 6,137 | 5,592 | -8.88 |
Area | 105 | 99 | -5.97 | ||
Equipment | 3,086 | 2,768 | -10.29 | ||
Vaccine | 10.487 | 0,862 | -5.97 | ||
Outpatient | 2,972 | 2,972 | 0.00 | ||
Deliveries | 277 | 277 | 0.00 | ||
Other | 2,169 | 2912 | 34.27 | ||
Vaccination | 4,320 | 4,320 | 0.00 | ||
Yevedougou | 0.8828 | Personnel costs | 4,375 | 3,124 | -28.59 |
Area | 271 | 112 | -58.67 | ||
Equipment | 3255 | 1,066 | -67.26 | ||
Vaccine | 3,182 | 2,809 | -11.72 | ||
Outpatient | 825 | 1,067 | 29.33 | ||
Deliveries | 40 | 74 | 85.00 | ||
Other | 544 | 761 | 39.89 | ||
Vaccination | 588 | 1,206 | 105.10 |
CSPS | Scale efficiency |
---|---|
Bagala | 0.5207 |
Barani | 1 |
Berma | 1 |
Bomborokuy | 1 |
Borekuy | 0.7703 |
Bourasso | 1 |
Dara | 1 |
Dembo | 1 |
Djibasso | 0.5867 |
Dokuy | 0.6726 |
Doumbala | 1 |
Gassingo | 0.7624 |
Goni | 0.9934 |
Ira | 1 |
Kienekuy | 0.8660 |
Konankoira | 0.9868 |
Konkuy Koro | 0.8118 |
Koro | 0.9980 |
Lekuy | 1 |
Nian | 1 |
Nouna | 1 |
Sono | 0.7715 |
Toni | 0.9645 |
Werebere | 0.8611 |
Yevedougou | 0.6793 |
Second stage DEA
Distance | distance in km to the next health centre |
---|---|
HHmemb | Number of household members |
Livestock
| |
AnInd | Value of animal ownership at personal level (in F CFA) |
AnHH | Value of animal ownership at household level (in F CFA) |
AnHHead | Value of animal ownership at household level per capita (in F CFA) |
Durable household goods
| |
GoodInd | Value of durable household goods at personal level (in F CFA) |
GoodHH | Value of durable household goods at household level (in F CFA) |
GoodHHead | Value of durable household goods at household level per capita (in FCFA |
Ethnic Groups
| |
EBwa | 1, if Bwaba |
EDaf | 1, if Dafing |
EMos | 1, if Mossi |
EPlh | 1, if Peulh |
ESam | 1, if Samo |
Religion
| |
RAni | 1, if Animist |
RCat | 1, if Catholic |
RMus | 1, if Moslem (incl. Ouhabien) |
RPrt | 1, if Protestant |
Variable | Mean | Standard Deviation | Minimum | Maximum |
---|---|---|---|---|
Distance | 12.38 | 12.76 | 0 | 62 |
HHmemb | 12.31 | 8.83 | 1 | 57 |
AnInd | 47,230 | 383,208 | 0 | 23,136,300 |
AnHH | 633,827 | 1,499,547 | 0 | 23,663,300 |
AnHHead | 47,574 | 130,228 | 1 | 2,746,000 |
GoodInd | 90,634 | 1,321,839 | 0 | 64,485,000 |
GoodHH | 1,175,234 | 4,717,385 | 0 | 65,435,000 |
GoodHHead | 92,530 | 484,649 | 1 | 13,900,000 |
EBwa | 0.237 | 0.425 | 0 | 1 |
EDaf | 0.390 | 0.488 | 0 | 1 |
EMos | 0.167 | 0,373 | 0 | 1 |
EPlh | 0.092 | 0.290 | 0 | 1 |
ESam | 0.101 | 0.301 | 0 | 1 |
RAni | 0.065 | 0.247 | 0 | 1 |
RCat | 0.272 | 0.445 | 0 | 1 |
RMus | 0.612 | 0.487 | 0 | 1 |
RPrt | 0.049 | 0.215 | 0 | 1 |
Censored | Truncated | |||
---|---|---|---|---|
Coefficient
|
p
value
|
Coefficient
|
p
value r
| |
Distance | 0.107*** | (0.001) | 0.114*** | (0.001) |
AnInd | 0.001 | (0.969) | 0.001 | (0.763) |
AnHH | -0.001*** | (0.000) | -0.001* | (0.008) |
AnHHead | -0.017* | (0.000) | -0.013** | (0.016) |
GoodInd | 0.001 | (0.510) | -0.003 | (0.469) |
GoodHH | 0.032** | (0.000) | 0.096** | (0.001) |
GoodHHead | -0.001* | (0.000) | -0.001** | (0.001) |
EBwa | -0.014 | (0.313) | -0.064** | (0.004) |
EDaf | -0.047*** | (0.000) | -0.115*** | (0.000) |
EPlh | -0.038* | (0.016) | -0.251*** | (0.002) |
ESam | 0.192*** | (0.000) | 0.083*** | (0.000) |
Rani | 0.076** | (0.001) | 0.174*** | (0.000) |
Rcat | -0.107*** | (0.000) | -0.169*** | (0.000) |
Rmus | 0.209*** | (0.000) | 0.218*** | (0.000) |
Constant | 0.180*** | (0.000) | 0.373*** | (0.038) |
Sigma | 0.296*** | (0.003) | 0.273*** | (0.000) |
Log Likelihood | -2823.7959 | 1564.8673 | ||
Wald | 122.43 | (0.000) | 869.53 | (0.000) |
Model I | Model II | Model III | |||||||
---|---|---|---|---|---|---|---|---|---|
95% Confidence interval
|
95% Confidence interval
|
95% Confidence interval
| |||||||
Coefficient
|
Lower
|
Upper
|
Coefficient
|
Lower
|
Upper
|
Coefficient
|
Lower
|
Upper
| |
Distance | 0.135*** | 0.117 | 0154 | 0.137*** | 0.119 | 0.155 | 0.146*** | 0.126 | 0.166 |
AnInd | 3.52e -08 | -2,50e-08 | 9.55e-08 | 3.53e-0.8 | -2.54-08 | 9.59-08 | -4.89e-08 | -1.11e-07 | 1.33e-08 |
AnHH | -7.95e-08 | -9.42e-08 | -6.47e-08 | -7.93e-08 | -9.42e08 | -6.45e | - | - | - |
AnHHead | -0.006** | -0.001 | -0.000 | -0.001* | -0.001 | -0.000 | -0.001** | -0.001 | -0.0000 |
GoodInd | -0.001 | -2.76e-08 | 2.33e-08 | -0.000 | -2.84e-08 | 2.41-08 | 1.08e-08 | -1.82e-08 | 3.97e-08 |
GoodHH | 0.125** | 0.097 | 0.153 | 0.000** | 9.74e-09 | 1.54e-08 | - | - | - |
GoodHHead | -0.005*** | -0.005 | -0.004 | -0.005*** | -0.005 | -0.004 | -0.0005*** | -0.001 | -0.004 |
EBwa | -0.064* | -0.115 | -0.014 | -0.041 | -0.006 | -0.870 | -0.530 | -0.107 | 0.001 |
EDaf | -0.115*** | -0.144 | -0.086 | - | - | - | -0.105*** | -0.136 | -0.742 |
Emos | - | - | - | 0.104*** | 0.731 | 0.134 | - | - | - |
EPlh | -0.251*** | -0.310 | -0.193 | -0.145*** | -0.202 | -0.870 | -0.350*** | -0.415 | -0.285 |
ESam | 0.083*** | 0.055 | 0.110 | 0.186*** | 0.164 | 0.216 | 0.105*** | 0.077 | 0.133 |
RAni | 0.174*** | 0.239 | 0.324 | -0.345 | -0.457 | -0.233 | 0.182 | 0.024 | 0.34 |
RCat | -0.169 | -0.271 | -0.674 | - | - | - | -0.201 | -0.311 | -0.091 |
RMus | 0.218*** | 0.122 | 0.313 | 0.472** | 0.0146 | 0.798 | 0.257*** | 0.151 | 0.363 |
RPrt | - | - | - | 0.166** | 0.271 | 0.606 | - | - | - |
Constant | 0.372*** | 0.274 | 0.471 | 0.439 | 0.397 | 0.481 | 0.320 | 0.208 | 0.431 |
Sigma | 0.276*** | 0.264 | 0.288 | 0.277*** | 0.264 | 0.289 | 0.288*** | 0.275 | 0.302 |