The effect of a combined intervention on exclusive breastfeeding in primiparas: A randomised controlled trial

Puharić, Drita; Malički, Mario; Borovac, Josip Anđelo; Šparac, Vladimir; Poljak, Boris; Aračić, Nađa; Marinović, Nero; Luetić, Nives; Zakarija‐Grković, Irena

doi:10.1111/mcn.12948

Cited by 22 publications

(20 citation statements)

References 14 publications

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“…A total of nine studies [ 4 , 5 , 7 , 8 , 11 , 12 , 14 , 17 , 19 ] reported exclusive breastfeeding rates at 3 months after delivery. The results of random effect model analysis showed that mHealth-based interventions significantly improved the rate (OR 3.05, 95% CI 1.97-4.73; P <.001; I 2 =70%).…”

Section: Resultsmentioning

confidence: 99%

“…A total of three [ 5 , 6 , 15 ] studies reported on breastfeeding efficacy. The results of random effects model analysis showed that mHealth-based interventions significantly improved breastfeeding efficacy compared with usual care (MD 8.15, 95% CI 3.79-12.51; P <.001; I 2 =88%).…”

Section: Resultsmentioning

confidence: 99%

“…A total of 15 RCTs were included in this study, and the basic characteristics of the included studies are shown in Table 1 [4][5][6][7][8][11][12][13][14][15][16][17][18][19][20]. The intervention measures included were divided into (1) telephone support (one article mentioned this intervention), ( 2) SMS text messaging (one article), (3) internet intervention (seven articles), and (4) telephone, SMS text messaging, and other interventions (six articles).…”

Section: Study Characteristicsmentioning

confidence: 99%

“…One proposed solution is mobile health (mHealth), which could provide medical assistance with the help of electronic mobile devices. Compared to face-to-face medical assistance, mHealth is cheaper and can have improved compliance [5]. Thus, mHealth is being applied in an increasing number of fields [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Compared to face-to-face medical assistance, mHealth is cheaper and can have improved compliance [5]. Thus, mHealth is being applied in an increasing number of fields [5][6][7]. A new mother's mood may change from extreme joy to tension and anxiety, which may stimulate her to use electronic mobile devices to search for breastfeeding knowledge.…”

Section: Introductionmentioning

confidence: 99%

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The Value of Mobile Health in Improving Breastfeeding Outcomes Among Perinatal or Postpartum Women: Systematic Review and Meta-analysis of Randomized Controlled Trials

Qian¹,

Wang²,

Lv³

et al. 2021

JMIR Mhealth Uhealth

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Background Breastfeeding is essential for maintaining the health of mothers and babies. Breastfeeding can reduce the infection rate and mortality in newborns, and can reduce the chances of overweight and obesity in children and adolescents. For mothers, a longer duration of breastfeeding can reduce the risk of breast cancer, ovarian cancer, and type 2 diabetes. Although breastfeeding has many benefits, the global breastfeeding rate is low. With the progress of time, the popularity of mobile devices has increased rapidly, and interventions based on mobile health (mHealth) may have the potential to facilitate the improvement of the breastfeeding status. Objective The main objective of this study was to analyze the existing evidence to determine whether mHealth-based interventions can improve the status of breastfeeding. Methods We systematically searched multiple electronic databases (PubMed, Web of Science, The Cochrane Library, Embase, CNKI, WanFang, and Vip ) to identify eligible studies published from 1966 to October 29, 2020. Included studies were randomized controlled trials (RCTs) studying the influence of mHealth on breastfeeding. The Cochrane Collaboration Risk of Bias tool was used to examine the risk of publication bias. RevMan 5.3 was used to analyze the data. Results A total of 15 RCTs with a total sample size of 4366 participates met the inclusion criteria. Compared with usual care, interventions based on mHealth significantly increased the postpartum exclusive breastfeeding rate (odds ratio [OR] 3.18, 95% CI 2.20-4.59; P<.001), enhanced breastfeeding self-efficacy (mean difference [MD] 8.15, 95% CI 3.79-12.51; P=.002; I2=88%), reduced health problems in infants (OR 0.62, 95% CI 0.43-0.90; P=.01; I2=0%), and improved participants’ attitudes toward breastfeeding compared with usual care (MD 3.94, 95% CI 1.95-5.92; P<.001; I2=0%). There was no significant difference in the initiation of breastfeeding within an hour of birth between the intervention group and the usual care group (OR 1.26, 95% CI 0.55-2.90; P=.59). In addition, subgroup analysis was carried out according to different subjects and publication times. The results showed that the breastfeeding rate was not limited by the types of subjects. The breastfeeding rate based on mHealth at 1 month and 2 months after delivery did not change over the time of publication (2009 to 2020), and the breastfeeding rate based on mHealth at 3 months and 6 months after delivery gradually increased with time (2009 to 2020). Conclusions Interventions based on mHealth can significantly improve the rate of postpartum exclusive breastfeeding, breastfeeding efficacy, and participants’ attitudes toward breastfeeding, and reduce health problems in infants. Therefore, encouraging women to join the mHealth team is feasible, and breastfeeding-related information can be provided through simple measures, such as text messages, phone calls, and the internet, to improve the health of postpartum women and their babies.

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