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.

This systematic review and meta-analysis aimed to determine the pooled prevalence of and factors associated with work-related musculoskeletal disorders (WMSDs) among low- and middle-income countries.

Databases such as PubMed/MEDLINE, CINAHL, LIVIVO, African Journals Online, African Index Medicus (AIM), HINARI, Science Direct, Web of Science, Cochrane Library, Google Scholar, Semantic Scholar and Google were used to retrieve all the relevant articles. The search was carried out from 22 April 2024 to 26 June 2024. Data were analysed via STATA 17 software. With a 95% CI, this meta-analysis with a random-effects model was carried out to determine the pooled prevalence.

The study was conducted in low- and middle-income countries.

Weavers of low- and middle-income countries.

The primary outcome of this study was the prevalence of WMSD.

In this meta-analysis, a total of 21 articles with 7322 study participants were included. The pooled prevalence of WMSDs was 72.20%. Working more than 8 hours per day, working in a chair with no back support, working in an uncomfortable posture, not performing regular physical exercise, lacking knowledge of the causes of WMSD and lacking job satisfaction were factors significantly associated with WMSDs.

A high prevalence of WMSDs among weavers in low- and middle-income countries was recorded. This indicates the need to take effective intervention measures. Rigorous ergonomic training, providing lengthy breaks and building centres for physical exercise, improving workplace ergonomic design and increasing job satisfaction are recommended.

CRD42024561064.

International survivorship guideline consortia have developed strategies to prevent, detect and manage late effects of childhood cancer survivors. However, recommendations do not adequately reflect the everyday reality of paediatric oncology care in low- and middle-income countries. In this study protocol, a survivorship intervention programme, comprising an educational component and a follow-up component, is described. The Educational Programme aims to improve follow-up adherence of childhood cancer survivors through increasing survivorship knowledge of caregivers. The Follow-up Programme aims to map late effects by implementing a follow-up form at the outpatient clinic to be used by trained healthcare providers.

This non-randomised prospective clinical trial will be performed at a referral hospital in Western Kenya. 100 caregivers of children diagnosed with cancer, who will complete treatment within 2 months, will be enrolled and followed for 24 months after completion of treatment. A caregiver control group receiving usual care will be recruited, and sequentially, caregivers will be included in an intervention group to attend an educational group session where they receive educational materials (video, booklet and Survivorship Card). Primary study outcome will be survivors’ follow-up adherence. Survivors will be considered lost to follow-up after they miss a scheduled appointment and do not revisit the clinic for more than 6 months. Mixed models regression analyses will be performed to determine intervention effects on follow-up adherence and on caregiver survivorship knowledge uptake. Additionally, healthcare providers will be trained on follow-up care, whereafter a form will be introduced at the outpatient clinic to document late effects in paediatric survivors attending the clinic for the period of a year. Secondary outcomes will be late effects prevalence as documented in the follow-up form and caregiver and healthcare provider survivorship knowledge uptake. Implementation measures (reach, potential effectiveness, adoption, satisfaction and maintenance) will be evaluated for both programmes.

The Institutional Research and Ethics Committee has approved the study protocol. Findings will also be shared with governmental and non-governmental organisations that support children with cancer in Kenya to inform their target audiences and guide their policy development.

Lessons learnt from this study could inform healthcare providers and policy makers on how to shape survivorship programmes in the Kenyan context and possibly implement similar programmes in other centres in Sub-Saharan Africa.

NCT06680687.