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Table 2 Descriptive characteristics of model variables

From: Level and determinants of county health system technical efficiency in Kenya: two stage data envelopment analysis

Variable Mean (95% CI) Median (min., max.) Data transformation
Output variable
 DALYS 0.23 (0.22–0.25) 0.23 (0.15–0.42) No transformation
Outputs
 County public health expenditure 2114.40 (1795.23–2433.58) 2018 (326–6018) No transformation
 County private health expenditure 2310.83 (2079.90–2541.76) 2,156 (814–4242) No transformation
 Number of healthcare facilities 2.42 (2.17–2.67) 2.3 (1–4.9) No transformation
Exogenous variables
 Level of corruption 1.67 (1.44–1.90) 1.52 (1–5.53) Square root
 HIV burden 4.45% (3.14–5.76%) 3.50% (0.10–21.00%) Logit
 Development budget absorption 98.09% (83.74–112.45%) 97.70% (38.80–353.60%) Logit
 Recurrent budget absorption 95.21% (88.95–101.47%) 98.60% (20.50–166.30%) Logit
 Alcohol consumption 20.83% (17.98–23.68%) 20% (0–40%) No transformation
 Level of literacy 91.38% (88.11–94.66%) 96.40% (53.80–99.70%) Logit
 Quality of care 75.70% (73.91–77.48%) 74.70% (62.00–91.20%) No transformation
 Population density 509.15 (164.03–854.27) 221 (6–6247) Log
 County economic performance 144,146.6 (121,684.4–166,608.9) 135,135.50 (40,464.25–384,156.7) Log
 Private 41.55% (36.56–46.55%) 37% (2–80%) No transformation
 Absenteeism 51.51% (48.95–54.08%) 50.30% (24.90–67.60%) No transformation
 Water 65.33% (60.06–70.59%) 67.20% (27.80–97.10%) No transformation
 Smoking 8.53% (6.93–10.13%) 9% (0–40%) No transformation
 Autonomy    
  Full autonomy—10 counties
  Partial autonomy—9 counties
  No autonomy—28 counties