Preventing readmission to hospital after giving birth is a key priority, as rates have been rising along with associated costs. There are many contributing factors to readmission, and some are thought to be preventable. Nurse and midwife understaffing has been linked to deficits in care quality. This study explores the relationship between staffing levels and readmission rates in maternity settings.

We conducted a retrospective longitudinal study using routinely collected individual patient data in three maternity services in England from 2015 to 2020. Data on admissions, discharges and case-mix were extracted from hospital administration systems. Staffing and workload were calculated in Hours Per Patient day per shift in the first two 12-hour shifts of the index (birth) admission. Postpartum readmissions and staffing exposures for all birthing admissions were entered into a hierarchical multivariable logistic regression model to estimate the odds of readmission when staffing was below the mean level for the maternity service.

64 250 maternal admissions resulted in birth and 2903 mothers were readmitted within 30 days of discharge (4.5%). Absolute levels of staffing ranged between 2.3 and 4.1 individuals per midwife in the three services. Below average midwifery staffing was associated with higher rates of postpartum readmissions within 7 days of discharge (adjusted OR (aOR) 1.108, 95% CI 1.003 to 1.223). The effect was smaller and not statistically significant for readmissions within 30 days of discharge (aOR 1.080, 95% CI 0.994 to 1.174). Below average maternity assistant staffing was associated with lower rates of postpartum readmissions (7 days, aOR 0.957, 95% CI 0.867 to 1.057; 30 days aOR 0.965, 95% CI 0.887 to 1.049, both not statistically significant).

We found evidence that lower than expected midwifery staffing levels is associated with more postpartum readmissions. The nature of the relationship requires further investigation including examining potential mediating factors and reasons for readmission in maternity populations.

Antenatal screening for HIV remains low in Nepal. Identifying factors associated with the uptake of antenatal screening is essential to increase uptake and prevent mother-to-child transmission (MTCT). This study investigated the effects of individual-level and district-level characteristics on the utilisation of antenatal screening for HIV in Nepal and how these effects changed between 2016 and 2022.

We used publicly available cross-sectional data from 2016 to 2022 Nepal Demographic and Health Surveys.

Stratified, multistage, random sampling was used to collect nationally representative data.

1978 and 2007 women aged 15–49 years who gave birth in the 2 years preceding the surveys.

We used multilevel models to estimate associations between antenatal screening and potential factors influencing it in 2016 and 2022. We used districts as a random effect and looked at the intraclass correlation coefficients to disentangle the geographical effects. To distinguish barriers to HIV screening from barriers to accessing antenatal care (ANC) services, we performed similar analyses with whether the woman attended at least one ANC visit as the dependent variable.

Factors associated with antenatal screening have not changed significantly between 2016 and 2022. Higher uptake of HIV screening was found among women with higher education, the pregnancy being desired later and women who had four or more ANC visits. Being from a poorer family and having low knowledge of MTCT and the medicines to prevent transmission were associated with lower uptake. From the supply side, no factors had a significant effect on antenatal screening. Factors associated with antenatal screening and those associated with any ANC were different. Our results also showed a partial importance of geographical factors on screening uptake.

Our results supported that antenatal screening could be improved by enhancing access to information and improving the availability of free screening.