This is the cleaned version of the BetterBirth dataset used in Nevo et al.
Format
A data frame with 6124 rows and 21 variables:
- coaching_updt
Number of coaching visits accrued (at time of birth)
- data_flag
Indicator of original dataset
- datafeedback
Data feedback loop
- launch_duration
Duration of checklist launch
- leadership_ITT
Leadership engagement, ITT
- leadership_updt
Intensity of leadership engagement (at time of birth)
- pre_post
Indicator for visits after initial coaching visit
- pilot_phase
Phase of the pilot studies
- site_name
Site name
- always_checklist
Checklist was used in all phases
- sometimes_checklist
Checklist was only in some phases
- birth_volume
Estimated monthly birth volume
- birth_volume_100
Estimated monthly birth volume (divided by 100)
- distance
Estimated distance to nearby hospital (km)
- distance_10
Estimated distance to nearby hospital (divided by 10)
- staff_nurse
Number of ANM, staff nurses, and lady health visitors
- pp2_hand_hygiene
fada_op2_handwashing
- pp3_oxytocin_mother
fada_op3_oxytocin_administered
- center_type
Phase of the pilot studies
- coach5
Number of coaching vissts accrued divided by 5
- coach3
Number of coaching vissts accrued divided by 3
Examples
data(BB_data)
head(BB_data)
#> # A tibble: 6 × 21
#> coaching_updt data_flag datafeedback launch_duration leadership_ITT
#> <dbl> <chr> <dbl> <dbl> <dbl>
#> 1 0 rct 0 0 0
#> 2 0 rct 0 0 0
#> 3 0 rct 0 0 0
#> 4 0 rct 0 0 0
#> 5 0 rct 0 0 0
#> 6 0 rct 0 0 0
#> # ℹ 16 more variables: leadership_updt <dbl>, pre_post <dbl>,
#> # pilot_phase <dbl>, site_name <chr>, always_checklist <dbl>,
#> # sometimes_checklist <dbl>, birth_volume <dbl>, birth_volume_100 <dbl>,
#> # distance <dbl>, distance_10 <dbl>, staff_nurse <dbl>,
#> # pp2_hand_hygiene <dbl>, pp3_oxytocin_mother <dbl>, center_type <chr>,
#> # coach5 <dbl>, coach3 <dbl>