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Table 2 Health facility factors associated with data concordance across 26 public-sector health clinics undergoing data quality intervention 2009–2012, Sofala Province, Mozambique

From: Effects of a health information system data quality intervention on concordance in Mozambique: time-series analyses from 2009–2012

Characteristic

aβ* adjusting for time only* (95% CI)

P-value

fully-adjusted model (95% CI)

P-value

Monthly number of 1st antenatal care visits (100 unit change)

2.8 (0.08, 5.6)

0.04

3.3 (0.43, 6.2)

0.02

Monthly number of outpatient visits (1000 unit change)

0.23 (−0.75, 1.2)

0.65

−0.12 (−1.2, 0.91)

0.82

Rural clinic location

13.7 (−12.5, 39.9)

0.31

40.1 (−9.7, 91.7)

0.11

Number of clinic beds

−0.10 (−0.39, 0.20)

0.52

−0.94 (−1.7, −0.20)

0.01

Distance from drug distribution point in kilometers

0.11 (−0.27, 0.49)

0.57

0.10 (−0.48, 0.68)

0.75

Type of health facility §

    

  Rural health center – Type 1

1 (reference)

 

1 (reference)

 

  Rural health center – Type 2

12.2 (−8.0, 32.4)

0.24

−8.0 (−39.6, 23.6)

0.62

  Urban health center – Type A

−0.56 (−34.3, 33.2)

0.97

30.8 (−27.1, 88.8)

0.30

  Rural hospital

18.7 (−7.9, 45.4)

0.17

44.2 (0.91, 87.5)

0.05

Clinic human resources

    

  Number of technical staff

0.28 (−0.12, 0.67)

0.17

0.71 (0.14, 1.3)

0.02

  Number of administrative staff

0.43 (−1.6, 2.4)

0.68

−0.86 (−3.3, 1.6)

0.50

Number of clinic drug stock-outs with availability at district

    

  Zero drugs stocked out

1 (reference)

 

1 (reference)

 

  One drug stocked out

0.12 (−4.0, 4.2)

0.95

0.10 (−4.2, 4.4)

0.97

  Two drugs stocked out

0.43 (−4.1, 5.0)

0.85

−0.63 (−5.4, 4.1)

0.80

  Three drugs stocked out

3.9 (−8.5, 16.3)

0.54

2.3 (−9.6, 14.6)

0.70

  Four drugs stocked out

−11.9 (−22.9, −0.99)

0.03

−10.0 (−20.7, 0.78)

0.07

  Five drugs stocked out

−50.7 (−63.9, −37.4)

<0.0001

−51.7 (−64.8, −38.6)

<0.0001

  1. *aβ represents the relationship between data concordance and key factors adjusting for the confounding effect of time through use of a linear spline in a linear mixed model with random slopes and intercepts across health facilities.
  2. aβ represents relationship between data concordance adjusting for time as above along with multivariate adjustment for all key predictors.
  3. Association evaluated for years 2011 and 2012 only due to limited availability of stock-out data. Group variable significant at p < 0.001 for both models.
  4. §Group variable not significant for model adjusting for time only (p = 0.45), or fully-adjusted model (p = 0.22).