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Table 4 Multilevel model to assess the association between the percentage of EMM use and treatment success rate

From: Effect of using electronic medication monitors on tuberculosis treatment outcomes in China: a longitudinal ecological study

Parameter Coefficient Standard error t value P value
Intercept 88.5483 3.9113 22.64  < 0.0001*
Percent EMM 0.0206 0.0071 2.92 0.0036*
(Quarter-1) 0.4369 0.5536 0.79 0.4302
(Quarter-2) 0.6990 0.4944 1.41 0.1577
(Quarter-3) 0.6088 0.5173 1.18 0.2395
(Quarter-4) Ref - - -
(TB desighosp-1) 3.5076 3.3611 1.04 0.2969
(TB desighosp-2) 2.3195 3.5535 0.65 0.5141
(TB desighosp-4) Ref - - -
County population 0.0317 0.0108 2.95 0.0033*
Xpert – 0.4626 0.4072 – 1.14 0.2563
Percent pdst 0.0418 0.0250 1.67 0.0949
Percent mdst 0.0366 0.0229 1.60 0.1105
Percent elderly – 0.0417 0.0173 – 2.42 0.0159*
Percent male 0.0274 0.0161 1.71 0.0883
Percent unemployed 0.0118 0.0124 0.95 0.3436
Percent prevtreat 0.0027 0.0320 0.08 0.9340
Percent bact confirm – 0.0913 0.0250 – 3.65 0.0003*
Percent ptb 0.0188 0.0150 1.25 0.2114
Percent migrant – 0.0054 0.0138 – 0.39 0.6962
Variability Variance component Standard error Z value P value
ζ(county)a 2.1801 0.4993 4.37  < 0.0001*
Residual 15.1273 0.6680 22.65  < 0.0001*
  1. EMM Electronic medication monitor, TB Tuberculosis
  2. Parameter abbreviations: Percent EMM, percentage of EMM used; TB desighosp, the number of TB designated hospital in the county; County population, annual population of the county; Xpert, whether GeneXpert facility in the county; Percent pdst, percentage of phenotypic drug susceptibility tests done; Percent mdst, percentage of molecular drug susceptibility tests done; Percent elderly, percentage of elderly TB cases; Percent male, percentage of male TB cases; Percent unemployed, percentage of unemployed TB cases; Percent prevtreat, percentage of previously treated TB cases; Percent bact confirm, percentage of bacteriologically confirmed TB cases; Percent ptb, percentage of pulmonary TB cases; Percent migrant, percentage of migrant TB cases
  3. *P < 0.05
  4. The random intercept for county level
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