The postnatal period is critical for preventing maternal and neonatal morbidity and mortality. Globally, a significant proportion of maternal and neonatal deaths occur within the first 6 weeks after delivery. Timely and adequate postnatal care (PNC) can detect and manage life-threatening complications; however, service utilisation remains alarmingly low in many low- and middle-income countries, including Saudi Arabia. Addressing the behavioural and perceptual factors that influence service use is essential for improving health outcomes.

This study aimed to assess mothers’ utilisation of PNC services and examine how their health beliefs and sociodemographic characteristics influence this behaviour.

A cross-sectional study guided by the Health Belief Model (HBM) was conducted to explore predictors of PNC utilisation.

Eight primary healthcare (PHC) centres were randomly selected from 179 PHC centres distributed in the different governorates of the Jazan region of Saudi Arabia.

A total of 464 mothers were surveyed between October and December 2023 using an interviewer-administered questionnaire.

The primary outcome was PNC utilisation, defined by the number of postnatal visits. The independent variables included sociodemographic characteristics and HBM constructs (perceived susceptibility, benefits, barriers and cues to action).

In terms of PNC utilisation, 80.0% of participants had two or fewer postnatal visits, whereas 20.0% had three or more postnatal visits. Perceived barriers had the strongest influence (mean score 2.51±0.87), followed by cues to action (2.43±0.89), susceptibility (1.92±0.72) and benefits (1.86±0.64). In the multivariate analysis, perceived barriers, cues to action and perceived susceptibility were significantly associated with PNC utilisation, with adjusted ORs of 1.679 (95% CI: 1.007 to 2.799), 0.470 (95% CI: 0.256 to 0.863) and 0.405 (95% CI: 0.197 to 0.832), respectively.

PNC utilisation in the Jazan region remains suboptimal. Perceptual factors, particularly barriers and cues to action, play a central role in service use. Health interventions targeting these beliefs and improving follow-up mechanisms may help increase PNC engagement and improve maternal and infant health outcomes in Saudi Arabia.

People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of cardio-renal-metabolic-pulmonary disease and cardiovascular death. The OPTIMISE-1 randomised controlled trial aims to test the effect of community-based specialist-led identification and management of cardio-renal-metabolic-pulmonary (CRMP) disease and risk factors compared with usual care on the use of therapeutic interventions over a follow-up of 6 months among high FIND-AF risk community-dwelling individuals.

OPTIMISE-1 is a multicentre, pragmatic, prospective, randomised, open-label, blinded-endpoint strategy trial that will recruit 138 participants aged 30 years or older, with a high FIND-AF risk score and previously enrolled in the FIND-AF pilot study (NCT05898165), to be randomised 1:1 to a specialist-led care intervention or usual care. The primary endpoint is a composite of initiation or increase of guideline-directed CRMP therapies. The secondary endpoints are the components of the primary endpoint, time to primary endpoint, diagnosis of new CRMP diseases or risk factors, time to diagnosis of new CRMP diseases or risk factors, initiation or increase of guideline-directed CRMP therapies for participants with recorded CRMP disease, initiation or increase of guideline-directed CRMP therapies for participants with newly diagnosed CRMP disease and change in participant-reported quality of life.

The study has ethical approval (the North East & North Tyneside 2 Research Ethics Committee reference 24/NE/0188). Findings will be announced at relevant conferences and published in peer-reviewed journals in line with the Funder’s open access policy.

Clinicaltrials.gov NCT06444711.