Author | Date (year) | Country | Study Design | Intervention and population | Level of Social-Ecological Model | Birth Outcome | Measure of Effect (Multivariate Odds Ratio (OR) or adjusted Odds Ratio (aOR) with 95% Confidence Interval |
---|---|---|---|---|---|---|---|
Bertilone | 2015 | Australia | Case-control study Participant group n=350 Historical control group n=350 Contemporary control group n=350 | Aboriginal Maternity Group Practice Program (AMGPP) Indigenous | Organisational | Preterm birth and birthweight | Preterm birth: aOR 0.75 CI (0.58-0.95) intervention vs control Low birthweight: aOR 0.83 CI (0.66-1.07) intervention) vs control (NOTE: each outcome is adjusted for pregnancy complications, smoking and previous caesarean delivery) |
Byrskog | 2020 | Sweden | Retrospective cohort study Migrant women with intervention n=880 Migrant women without intervention n=16789 Swedish-born women n=129 | Community-based bilingual doulas CALD | Interpersonal | Preterm birth and birthweight | Preterm: OR 0.41 CI (0.26 – 0.65) intervention vs control Low birthweight: 0.55 CI (0.37 – 0.81) intervention vs control |
Coughlin | 2013 | USA | Retrospective cohort study Cohort n=872 Comparison group n=3277 | Healthy Start home visiting program, community-driven and population specific interventions Indigenous | Community | Preterm birth and birthweight | Preterm: OR 0.94 CI (0.68, 1.30) intervention vs control. For medically underserved areas: aOR 0.62 (0.31, 1.23) intervention vs control. Low birthweight: aOR 0.91 CI (0.61 – 1.36) intervention vs control. For medically underserved areas: aOR 0.37 CI (0.14 – 0.96) intervention vs control. (NOTES: aOR for Preterm are adjusted for number of maternal risk factors and delivery payment source. aOR for low birthweight are adjusted for number of maternal risk factors, delivery payment source, tobacco use during pregnancy, and mother’s age) |
Hartz | 2019 | Australia | Comparative Cohort study Cohort with intervention n=505 Comparison group n=201 | Malabar Midwifery Service Indigenous | Organisational | Preterm birth and birthweight | Preterm: aOR 2.2 CI (0.96-4.97) intervention vs control. Low birthweight:aOR 3.6 CI (1.02-12.9) intervention vs control. (NOTE: aOR reported for each outcome are adjusted for nulliparity, parity, obstetric and medical risk at the onset of labour, psychosocial risk at the onset of labour, smoking 2nd half pregnancy, preterm, SEIFA, augmented & induction combined) |
Kildea | 2019 | Australia | Comparative Cohort study Cohort n=461 Comparison n=563 | Birthing on Country Indigenous | Organisational | Preterm birth | Preterm: OR 0.50 CI (0.31 – 0.83) intervention vs standard care. |
Kildea | 2016 | Australia | Comparative Cohort Study Retrospective cohort n=412 Prospective cohort n=310 | Midwifery Group Practice (MGP) Indigenous | Organisational | Preterm birth and birthweight | Preterm: P Value 0.906 Low birthweight: P Value 0.122 |
Kildea | 2012 | Australia | Mixed-Methods Cohort n=367 Comparison n=414 | The Murri Antenatal Clinic Indigenous | Organisational | Preterm birth | Preterm: aOR 0.92 CI (0.59 – 1.43) NOTE: Adjusted for maternal age, parity, body mass index, smoking, medical complications (gestational diabetes, antepartum haemorrhage, pregnancy induced hypertension, asthma) and socio-economic status as measured by the Socio-Economic Indexes of Areas.) |
O’Connell | 2009 | USA | Comparative Cohort Cohort n=182 Comparison n=182 | The MOMmobile CALD | Organisational | Preterm birth and birthweight | ORs from matched sample: Preterm OR 9.12 CI (5.66 - 15.49) intervention vs control. Low birthweight: OR 10.88 CI (6.51 - 19.45) intervention vs control. |
Swartz | 2017 | USA | Observational Cohort study Emergency Medicaid n = 35182 Emergency Medicaid Plus n = 12510 Medicaid n=166054 | Staggered rollout of Emergency Medicaid Plus vs Regular Medicaid pregnancies CALD | Policy | Preterm birth and birthweight | Difference in difference*: Low birthweight: 1.84 (-6.74 to 10.42) Triple DID 4.80 (0.30 to 9.30) Preterm: DID 2.46 (-8.05 to 12.97) Triple DID 10.12 (3.15 to 17.09) NOTE*: Difference in difference analysis method uses data from treatment and control groups to obtain an appropriate counterfactual to estimate a causal effect. Raw data and odds ratio was not available for this study. |