This study employs structural equation modelling to explore the inter-relationships among optimal antenatal care (ANC), health facility delivery and early postnatal care (EPNC) in Ethiopia. By identifying both direct and indirect influencing factors, the study offers valuable insights to support integrated maternal health strategies and guide informed decision-making by policymakers and women alike.

The secondary analysis of the Ethiopian Demographic and Health Survey 2016 was performed to investigate inter-relationships between optimal ANC, health facility delivery and postnatal care (PNC) among women in Ethiopia. Data were analysed with R software V.4.3.2. The study used binary logistic regression to examine differences in optimal ANC, health facility delivery and EPNC, focusing on variables with a p value of 0.1 or less. Selected variables were incorporated into a generalised structural equation model (GSEM) using the LAVAAN package to explore both direct and indirect effects. The GSEM method assessed the impact of exogenous variables on endogenous variables, all binary, using a logistic link and binomial family. Missing data were handled with the multiple imputation by chained equations package, and sampling weights were applied to ensure national and regional representativeness.

The source population comprised all women of reproductive age (15–49 years) who gave birth in the 5 years preceding the survey. From 16 650 interviewed households (98% response rate), we identified 7590 eligible women with recent births. Finally, we included 2415 women who had attended four or more ANC visits.

Media exposure significantly boosts the likelihood of using ANC (OR=1.8, 95% CI (1.04 to 3.23), p=0.04), health facility delivery (OR=1.7, 95% CI (1.23 to 2.45), p=0.05) and PNC (OR=2.0, 95% CI (1.6 to 4.01), p=0.01). Urban residence and secondary education also enhance ANC (OR=1.2, 95% CI (1.01 to 2.88), p=0.022; OR=1.3, 95% CI (1.20 to 3.01), p=0.018), health facility delivery (OR=1.1, 95% CI (1.01 to 3.24), p=0.035; OR=1.5, 95% CI (1.22 to 3.45), p=0.03) and PNC (OR=1.6, 95% CI (1.01 to 4.32), p=0.03). ANC directly affects health facility delivery (OR=1.4, 95% CI (1.28 to 3.09), p=0.01) and PNC (OR=1.6, 95% CI (1.01 to 3.80), p=0.03). Additionally, women aged 20–34 years and those from male-headed households positively impact health facility delivery (OR=1.5, 95% CI (1.20 to 4.80), p=0.01; OR=1.3, 95% CI (1.07 to 3.45), p=0.014) and PNC (OR=1.4, 95% CI (1.10 to 2.90), p=0.01; OR=1.2, 95% CI (1.07 to 3.08), p=0.025).

Optimal ANC is vital for encouraging health facility delivery and EPNC. To enhance maternal and neonatal health, policies should integrate these services. Key predictors include being aged 20–34, having secondary and higher education, media exposure, male-headed households and living in urban areas. Improving education and media exposure can boost maternal healthcare service use.

To assess the incidence, progression and predictors of chronic kidney disease among adult patients living with HIV/AIDS who are receiving antiretroviral therapy.

An institution-based, multicentre retrospective follow-up study was conducted among a randomly selected sample of 535 adult patients. Data were entered into Epi Data version 4.6.0 and analysed using STATA version 14.0. A Cox proportional hazards regression model was fitted to identify independent predictors of chronic kidney disease incidence. Variables with p

The study was conducted at comprehensive specialised hospitals in the Amhara Region of Ethiopia. Adult patients with HIV/AIDS receiving follow-up antiretroviral therapy between 1 April 2012 and 31 September 2022 were the cohort participants.

Of the 528 adult patients included in the final analysis, 15 (2.84%) developed chronic kidney disease during the follow-up period, resulting in an overall incidence rate of 4.1 per 1000 person-years of observation. Significant predictors of chronic kidney disease included baseline age (adjusted HR (AHR)=1.053; 95% CI, 1.001 to 1.108), serum creatinine (AHR=1.698; 95% CI, 1.302 to 2.215), blood urea nitrogen (AHR=1.031; 95% CI, 1.001 to 1.061) and baseline viral load ≥1000 copies/mL (AHR=3.464; 95% CI, 1.104 to 10.871).

The incidence of chronic kidney disease among adult patients with HIV was clinically significant. Older age, baseline viral load ≥1000 and high blood urea nitrogen and creatinine levels were significant predictors of higher risk. Proactive measures, such as closer kidney monitoring, targeted care for older patients and ensuring optimal viral suppression with effective antiretroviral therapy, can delay or prevent the development of chronic kidney disease.