Table 8

Risk of bias—travel time

Author, year, countryStudy sample selection bias additional criteria for case– control studiesBias in measurement of exposureBias in measurement of outcomesAttrition biasAnalysis method reported and appropriatePotential confounders adjusted for and listed
UK Studies
Dummer & Parker 29, 2004, UK LOW Cumbrian Births Database LOW Modelled using GIS LOW Objective outcome (NM) LOW Of 3352 live births, 42 stillbirths excluded as the outcome NM LOW Method detailed, results of LR were reported LOW Adjusted for year of birth, social class, birth order, multiple births
Paranjothy et al 30 31, 2013 & 2014, UK LOW National Community Child Health Database & All Wales Perinatal Survey) HIGH Women’s address replaced by population-weighted centroid, travel time calculated using Google Maps API (v3) LOW Objective outcomes (SB, NM) LOW 11% excluded where information on parity was missing LOW Analysis method described and multilevel LR data were reported LOW Adjusted for maternal age, parity, urban/rural location, SES, and other characteristics
European Studies
Combier et al 32, 2013, France LOW Burgundy perinatal network database HIGH Municipality town hall not woman’s home address LOW Objective outcomes (SB, PM, BBA) LOW All births identified included in the analysis LOW Method described; hierarchical LR and multilevel LR reported LOW Adjusted for maternal age, urbanisation level and other characteristics
Renesme et al 34, 2013, FranceCase definition YES linked to perinatal network database LOW Distance & travel time estimated using GIS LOW Objective outcomes retrieved from regional and hospital databases LOW 5/81 (6%) BBAs missing, 3/162 (2%) controls missing LOW Method described and univariate and appropriate; multivariate reported LOW Adjusted for age, family status, INSEE maternal occupation, parity, and other characteristics
Representativeness of cases YES All cases in defined period
Appropriate selection of controls YES Controls chosen randomly from same databases and from births occurring at the nearest delivery date and hour to cases
Definition of control appropriate YES Outcome could not have occurred
Comparability of cases and controls NO Difference in antenatal care attendance
Nguyen et al 33, 2016, FranceCase definition YES Using medical records UNCLEAR No information LOW Objective outcome (BBA) UNCLEAR No information HIGH No details of the analysis method and analysis was only descriptive HIGH No adjustment for any potential confounders
Representativeness of cases YES All cases in defined period
Appropriate selection of controls YES Next birth, of equivalent GA
Definition of control appropriate YES Outcome could not have occurred
Comparability of cases and controls NO Significant differences in parity, smoking, pregnancy monitoring, profession
Ravelli et al35–37, 2011, Netherlands (abstract & full papers) LOW Population based study using the Netherlands Perinatal Registry LOW GIS software used to measure travel time from women's postcodes LOW Objective outcomes from perinatal registry LOW Small proportion (0.3%) of women excluded due to incorrect zip code LOW Method reported; descriptive analysis & LR results given LOW Analysis adjusted for age, parity, ethnicity, SES
Ravelli et al 38, 2012, Netherlands LOW Population based study using the Netherlands Perinatal Registry LOW GIS software used to measure travel time from women's postcodes LOW Objective outcomes from perinatal registry LOW Small proportion 4% of women excluded UNCLEAR No information LOW Adjusted for age, parity, very urban /very rural, SES
Stolp et al 39, 2015, Netherlands HIGH Study participants were selected by midwives LOW Ambulance interval includes total time from dispatch call to arrival at hospital UNCLEAR Method of measuring blood loss not reported HIGH Missing data 18/72 (25%) due to incomplete documentation HIGH Data only analysed descriptively HIGH No adjusted analysis
Engjom et al 40, 2017 and Engjom et al 41, 2015, Norway (abstract & full paper) LOW Medical Birth Registry of Norway LOW Travel time polygon from home address using GIS LOW Objective outcomes from birth registry UNCLEAR No information LOW Analysis appropriate, details of LR, multilevel modelling were reported LOW Adjusted for maternal age, parity, education, ethnicity
Grzybowski et al 43, 2011, Canada LOW Population based study using British Columbia Perinatal Health Programme HIGH GIS used to create 1 hour travel zone for each maternity service, but central postal code to the nearest maternity care used LOW Objective outcomes from Perinatal Health Programme LOW 0.3% excluded due to incorrect zip code LOW Analysis appropriate, descriptive analysis & hierarchical LR reported LOW Adjusted for maternal age, parity, SES, ethnicity
Grzybowski et al 44, 2013, Canada LOW Data from Perinatal Data Registry HIGH Community central postal code used not women’s home address LOW Objective outcomes from Perinatal Data Registry HIGH Number of women excluded due to incorrect postal address not reported LOW Analysis appropriate descriptive analysis & LR LOW Adjusted for maternal age, parity, lone parent status, ethnicity, SES
Grzybowski et al 45, 2015, Canada LOW Provincial perinatal registries HIGH Community central point postal code used not women’s home address LOW Objective outcomes from Perinatal Data Registries UNCLEAR No information on missing data LOW Analysis appropriate, descriptive analysis & LR reported LOW Adjusted for maternal age, parity
Stoll et al 46, 2014, Canada LOW Based on British Columbia Perinatal Database Registry LOW Used GIS and Google maps; travel times were adjusted for travel conditions LOW Objective outcomes (CS) LOWNo missing data HIGH Data were only analysed descriptively HIGH No adjusted analysis
Darling et al 42, 2019, Canada LOW Data from Perinatal Registries LOW Driving time from women’s residence using online mapping tool ArcGIS LOW Objective outcomes from Perinatal Data Registries LOW 3.7% excluded not being able to calculate distance to nearest hospital LOW Method reported, results of descriptive analysis & LR reported LOW Adjusted for maternal age, parity, gestational age, season, SES
Aoshima et al 47, 2011, Japan LOW All Japan except for isolated islands outside road network (96.6% of all Medical Service Areas) HIGH Used central point of municipality not home address but analysis based on (larger) Medical Service Areas. LOW Objective outcomes from Medical Service Area databases UNCLEAR No information on missing data LOW Method appropriate, unpaired t-test, difference-in-difference analysis HIGH No adjusted analysis
  • BBA, born before arrival; CS, caesarean section; GA, gestational age; GIS, geographical information system; INSEE, institute national de la statistique et des etudes economiques; LR, logistic regression; NM, neonatal mortality; NNU, neonatal unit; PM, perinatal mortality; SES, socio economic status; SB, still birth.