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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