2012
DOI: 10.1002/14651858.cd007457.pub2
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Mobile phone messaging for preventive health care

Abstract: We found very limited evidence that in certain cases mobile phone messaging interventions may support preventive health care, to improve health status and health behaviour outcomes. However, because of the low number of participants in three of the included studies, combined with study limitations of risk of bias and lack of demonstrated causality, the evidence for these effects is of low to moderate quality. The evidence is of high quality only for interventions aimed at smoking cessation. Furthermore, there … Show more

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Cited by 210 publications
(136 citation statements)
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“…Previous studies have revealed that according to adverse pregnancy, childbirth, and neonatal outcomes caused by overweightness and obesity, greater care should be taken of these females (38,39).…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies have revealed that according to adverse pregnancy, childbirth, and neonatal outcomes caused by overweightness and obesity, greater care should be taken of these females (38,39).…”
Section: Discussionmentioning
confidence: 99%
“…Online interventions targeting alcohol use have shown promising results (48) with Web based social norms interventions also demonstrating effectiveness in reducing alcohol use and promoting smoking cessation (49). Codeine specific services and low threshold substitution treatments and support (51-52) coupled with innovative mechanisms in E & M -Health in treatment and recovery supports for individuals dependent on codeine has potential (53). For instance, the use of mobile phones as a medium for delivery of targeted patient health information and support interventions (38), regular audits of top ranked Google websites to check accuracy of health information on codeine use and misuse and health warnings as a pop-up feature of Internet shopping sites are potential areas for innovation.…”
Section: Discussionmentioning
confidence: 99%
“…21 33 interventions on smoking cessation to estimate the appropriate sample size. With three repeated measurements, an estimated correlation among the repeated measures of 0.50, and an α level of 0.05, a sample size of 30 of participants was needed (27 being the recommended number, plus 10% [3 participants] for projected attrition) to detect an effect size of 0.25, with a power of 0.80 34,35 .…”
Section: Samplementioning
confidence: 99%