The effects of mHealth interventions on improving institutional delivery and uptake of postnatal care services in low-and lower-middle-income countries: a systematic review and meta-analysis

Abstract Background Maternal mortality due to pregnancy, childbirth and postpartum is a global challenge. Particularly, in low-and lower-income countries, the outcomes of these complications are quite substantial. In recent years, studies exploring the effect of mobile health on the improvement of maternal health are increasing. However, the effect of this intervention on the improvement of institutional delivery and postnatal care utilization was not well analyzed systematically, particularly in low and lower-middle-income countries. Objective The main aim of this review was to assess the effect of mobile heath (mHealth) interventions on improving institutional delivery, postnatal care service uptake, knowledge of obstetric danger signs, and exclusive breastfeeding among women of low and lower-middle-income countries. Methods Common electronic databases like PubMed, EMBASE, the Web of Science, Medline, CINAHL, Cochrane library, Google scholar, and gray literature search engines like Google were used to search relevant articles. Articles that used interventional study designs and were conducted in low and lower-middle-income countries were included. Sixteen articles were included in the final systematic review and meta-analysis. Cochrane’s risk of bias tool was used to assess the quality of included articles. Results The overall outcome of the systematic review and meta-analysis showed that MHealth intervention has a positive significant effect in improving the institutional delivery (OR = 2.21 (95%CI: 1.69–2.89), postnatal care utilization (OR = 4.13 (95%CI: 1.90–8.97), and exclusive breastfeeding (OR = 2.25, (95%CI: 1.46–3.46). The intervention has also shown a positive effect in increasing the knowledge of obstetric danger signs. The subgroup analysis based on the intervention characteristics showed that there was no significant difference between the intervention and control groups based on the intervention characteristics for institutional delivery (P = 0.18) and postnatal care utilizations (P = 0.73). Conclusions The study has found out that mHealth intervention has a significant effect on improving facility delivery, postnatal care utilization, rate of exclusive breastfeeding, and knowledge of danger signs. There were also findings that reported contrary to the overall outcome which necessitates conducting further studies to enhance the generalizability of the effect of mHealth interventions on these outcomes

Combined Influence of Eight Lifestyle Factors on Metabolic Syndrome Incidence: A Prospective Cohort Study from the MECH-HK Study

Although previous studies have shown significant associations between individual lifestyles and metabolic syndrome, limited studies have explored the combined effect of lifestyles. The purpose of this study was to investigate whether a combined lifestyle score was associated with metabolic syndrome incidence in Hong Kong Chinese women. This prospective cohort study included 1634 women (55.9 ± 8.6 years) without baseline metabolic syndrome, diabetes, myocardial infarction, or stroke. Eight lifestyle factors (smoking, physical activity, sedentary time, sleep, stress, fatigue, diet, and alcohol) were included by assigning 0 (unhealthy) or 1 point (healthy). The overall score was the sum of these points, ranging from 0 (the least healthy) to 8 points (the healthiest). Metabolic syndrome was diagnosed by the joint interim statement. During a 1.16-year follow-up, 179 (11.0%) new metabolic syndrome cases were identified. The incidences for the 0–3-point, 4-point, 5-point, and 6–8-point groups were 12.8% (79/618), 11.5% (42/366), 9.4% (29/309), and 8.5% (29/341), respectively. Compared to the lowest combined lifestyle score group, the highest group had a 47% reduced metabolic syndrome incidence, with an adjusted odds ratio and 95% confidence interval of 0.53 (0.33–0.86) (p = 0.010). These findings indicate that a higher combined lifestyle score was associated with a lower metabolic syndrome incidence in this population

Additional file 1 of Associations of combined lifestyle index with migraine prevalence and headache frequency: a cross-sectional study from the MECH-HK study

Additional file 1. Relationships between 11 dietary habits and migraine in Hong Kong Chinese women (October 2019–December 2020)