The development of a prediction model for arrest of labour to be used at regular check-ups, during 36 or 37 gestational weeks, for primiparas: a retrospective cohort study.

PURPOSE: An emergency caesarean section (CS) has more complications than a planned CS. The arrest of labour is a major indication for an emergency CS. This study aimed to develop a prediction model for the arrest of labour to be used in regular check-ups at 36 or 37 gestational weeks for primiparas. METHODS: This was a retrospective cohort study conducted at a single institution in Japan using data from January 2007 to December 2013. Primiparas attending regular check-ups during 36 or 37 gestational weeks, with live single foetuses in a cephalic presentation were included. The outcome was the incidence of labour arrest. Candidate predictors included 25 maternal and foetal findings. We developed a prediction model using logistic regression analysis with stepwise selection. A score was assigned to each predictor of the final model based on their respective ß coefficients. RESULTS: A total of 739 women were included in the analysis. Arrest of labour was diagnosed in 47 women (6.4%), and all of them delivered by emergency CS. The predictors in the final model were a Bishop score ≤ 1, maternal height ≤ 154 cm, foetal biparietal diameter ≥ 91 mm, pre-pregnancy weight ≥ 54 kg, maternal haemoglobin concentration ≥ 11.0 g/dl, and amniotic fluid index ≥ 13. The area under the receiver operating characteristic curve was 0.783. CONCLUSION: We have developed the first model to predict arrested labour before its onset. Although this model requires validation using external samples, it will help clinicians and pregnant women to control gestational conditions and make decisions regarding planned CS.

Changes in Health-related Quality of Life Among Impoverished Persons in the Free/Low-Cost Medical Care Program in Japan: Evidence From a Prospective Cohort Study.

BACKGROUND: The Free/Low-Cost Medical Care Program (FLCMC) can subsidize the payment (exempt/lower) in designated institutions in Japan. Given that poverty is a multidimensional concept including social isolation, the FLCMC applicants may need social support over and above financial aid to improve their quality of life. However, there was no data to discuss what services should be provided and to whom. Hence, we aimed to describe the changes in health-related quality of life scores among users of the FLCMC, with respect to their socioeconomic backgrounds. METHODS: This cohort study included patients who newly used FLCMC from July 2018 to April 2019. We used patients' social work records, obtained at baseline, and self-report questionnaires on the Medical Outcomes Study 8 Items Short Form Health Survey (SF-8), measured both at baseline and 6 months after the application. We used the change in physical and mental health component summary scores (PCS-8 and MCS-8, respectively) as outcome variables. RESULTS: Multiple linear regression analyses, adjusting for age, sex, healthcare institute, and baseline PCS-8 and MCS-8, showed that lower income was associated with an increase in PCS-8 (coef. -0.09; 95% CI, -0.15 to, -0.03) and MCS-8 (coef. -0.04; 95% CI, -0.11, to 0.03). Living alone (versus living with someone) was potentially associated with a decrease in both PCS-8 (coef. -1.58; 95% CI, -7.26 to 4.09) and MCS-8 (coef. -3.62; 95% CI, -9.19 to 1.95). CONCLUSION: Among patients using FLCMC, those who live alone may need additional support. Further study testing the generalizability of the findings is required.