UNASSIGNED: Health agency refers to one\'s capacity to form health-related goals, experience control, and possess the means to pursue them. Low socioeconomic status (SES) is linked to impaired health agency and increased risk of adverse pregnancy outcomes, potentially due to a reduced tendency to seek care. Better healthcare availability may not improve their pregnancy outcomes, and therefore improved understanding of maternal health agency is paramount.
UNASSIGNED: Semi-structured interviews were conducted with 15 participants who either had children or desired to have them. Low SES was determined by neighborhood median income and educational attainment. A thematic content analyses was conducted.
UNASSIGNED: Two themes emerged: 1) Origin and development of personal goals, and 2) Awareness and competence. Participant\'s goals stemmed from cultural norms, personal narratives, and intuition. Integrated goals were those participants valued highly, were aware of, and strived for. Four subthemes were identified in goal-awareness and competence. Internal conflict due to discrepancies between goals and behavior resulted in the need to balance the burdens and benefits of behavior change.
UNASSIGNED: Maternal health agency is a modifiable outcome dependent on goal-awareness and various factors. Impaired agency seemed to stem from lack of goal-awareness rather than an inability to meet established pillars.

There are persistent ethnic gaps in uptake of child healthcare services in New Zealand (NZ), despite increasing policy to promote equitable access. We examined ethnic differences in the uptake of immunisation and primary healthcare services at different ages and quantified the contribution of relevant explanatory factors, in order to identify potential points of intervention.
We used data from the Growing Up in New Zealand birth cohort study, including children born between 2009 and 2010. Econometric approaches were used to explore underlying mechanisms behind ethnic differences in service uptake. Multivariable regression was used to adjust for mother, child, household, socioeconomic, mobility, and social factors. Decomposition analysis was used to assess the proportion of each ethnic gap that could be explained, as well as the main drivers behind the explained component. These analyses were repeated for four data time-points.
Six thousand eight hundred twenty-two mothers were enrolled during the antenatal survey, and children were followed up at 9-months, 2-years and 4-years. In univariable models, there were ethnic gaps in uptake of immunisation and primary care services. After adjusting for covariates in multivariable models, compared to NZ Europeans, Asian and Pacific children had higher timeliness and completeness of immunisation at all time-points, while indigenous Māori had lower timeliness of first-year vaccines despite high intentions to immunise. Asian and Pacific mothers were less likely to have their first-choice lead maternity caregiver (LMC) than NZ Europeans mothers, and Māori and Asian mothers were less likely to be satisfied with their general practitioner (GP) at 2-years. Healthcare utilisation was strongly influenced by socio-economic, mobility and social factors including ethnic discrimination. In decomposition models comparing Māori to NZ Europeans, the strongest drivers for timely first-year immunisations and GP satisfaction (2-years) were household composition and household income. Gaps between Pacific and NZ Europeans in timely first-year immunisations and choice of maternity carer were largely unexplained by factors included in the models.
Ethnic gaps in uptake of child healthcare services vary by ethnicity, service, and time-point, and are driven by different factors. Addressing healthcare disparities will require interventions tailored to specific ethnic groups, as well as addressing underlying social determinants and structural racism. Gaps that remain unexplained by our models require further investigation.