Maternal and perinatal outcome after caesarean delivery in preeclampsia or eclampsia in Enugu, Nigeria: four years on (original) (raw)

Internet use by pregnant women during prenatal care

einstein (São Paulo), 2024

Objective: The search for medical information on the internet is a part of people’s daily lives. Exponential volumes of data are available through various media and platforms. There are several problems related to the ease of creating and accessing medical information on the internet, as evidenced by the quantity of false content and increasing anxiety due to the consumption of these data. In light of this accessibility, it is necessary to understand how people use internetbased medical information and its impact on specific populations. This prospective study aimed to analyze pregnant women’s behavior when searching for health-related information on the internet, and how they were influenced by the information. Methods: Questionnaires were administered to the participants during their immediate puerperium, and their answers were tabulated. Results: Three hundred and two patients answered the questionnaires. We observed that internet use was frequent, and most patients discussed the findings with their physicians. However, this did not affect the delivery routes. Conclusion: The search for health information by pregnant women is very prevalent but does not interfere with the delivery route.

Describing the Use of the Internet for Health, Physical Activity, and Nutrition Information in Pregnant Women.

Maternal and Child Health, 2012

The purpose of this study was to determine how pregnant women in the Midwestern United States use the internet for health information during pregnancy including information related to physical activity and nutrition, and to determine the impact of the internet on women's confidence in making decisions about physical activity participation and eating behaviors during pregnancy. This was a descriptive, exploratory study using a convenient, non-probabilistic sample. Women were recruited through handouts provided in person, fliers posted at venues, or local websites that cater to women who are pregnant or up to 1 year post-partum. Overall, 293 women (28.5 years ± 4.9) completed the survey online (Survey Monkey) or in-print. Data were analyzed using descriptive statistics, paired t tests, and analyses of covariance. Almost all women used the internet for health information during their pregnancy. Half of women used the internet for information related to physical activity during their pregnancy and some increased their physical activity as a result. Women reported an increase in their confidence for making decisions related to physical activity during pregnancy after using the internet for physical activity information. Women that reported increases in physical activity during pregnancy, had greater increases in confidence for making decisions from using the internet compared to women who decreased or did not change their physical activity. Findings related to nutrition were similar to physical activity. However, there were no significant differences in increases in confidence between those who did or did not change the foods they ate. This study provides health promotional professionals useful information to consider when designing future physical activity and/or nutrition interventions for pregnant women.

The Theory, Development, and Implementation of an e-Intervention to Prevent Excessive Gestational Weight Gain: e-Moms Roc

Background: Gaining more weight during pregnancy than is recommended by the Institute of Medicine is prevalent and contributes to the development of obesity in women. This article describes the development and use of e-Moms of Rochester (e-Moms Roc), an electronic intervention (e-intervention), to address this health issue in a socioeconomically diverse sample of pregnant women. Materials and Methods: Formative research in the form of intercept interviews, in-depth interviews, and focus groups was conducted to inform the design of the e-intervention. The Web site continuously tracked each participant's use of e-intervention features. Results: An e-intervention, including Web site and mobile phone components, was developed and implemented in a randomized control trial. Formative research informed the design. Participants in all arms accessed blogs, local resources, articles, frequently asked questions, and events. Participants in the intervention arms also accessed the weight gain tracker and diet and physical activity goal-setting tools. Overall, 80% of women logged into the Web site and used a tool or feature at least twice. Among those in the intervention arm, 70% used the weight gain tracker, but only 40% used the diet and physical activity goal-setting tools. Conclusions: To maximize and sustain potential usage of e-Moms Roc over time, the e-intervention included customized reminders, tailored content, and community features such as blogs and resources. Usage was comparable to those in other weight studies with young adults and higher than reported in a published study with pregnant women. This e-intervention specifically designed for pregnant women was used by the majority of women.

Pregnant women’s use of the internet: a review of published and unpublished evidence

2006

Aim. To review evidence on the use of the internet by pregnant women. Objective. To provide a critical summary on the extent and nature of published and unpublished evidence on the use of the internet by pregnant women. Method. A structured literature review examining women's use of the internet during pregnancy and its effect on their decision-making in pregnancy. Searches were conducted for peer-reviewed local, national and international research papers as well as professional literature. The medical subject headings (MeSH) keywords 'pregnancy/pregnant' and 'woman/expectant mother' were combined to the search terms 'information/information need/information seeking/information searching', 'knowledge need(s)', 'access to information/information sources', and 'support/social support' and 'internet/world wide web' using Boolean connectors and applied to relevant electronic databases: the British Nursing Index, CINAHL, MEDLINE,

Who is NOT likely to access the Internet for health information? Findings from first-time mothers in southwest Sydney, Australia

International Journal of Medical Informatics, 2011

First-time mothers' reports of their computer ownership, sources of health information including Internet access and self-rated health as well as demographic data were collected through face-to-face interviews. Multivariate analysis was performed using log-binomial regression. Results: We found that 37% of first-time mothers reported not using the Internet for health information. Maternal education level, household income level and having a computer at home were significant factors associated with the use of the Internet for health information after adjusting for other factors. Mothers who only had school certificate or lower were 1.5 times more likely not to use the Internet for health information than those with university/tertiary education [adjusted risk ratio (ARR) 1.50, 95% CI 1.06-2.12, P = 0.03]. Mothers with a household income of less than 40,000peryearwere1.7timesmorelikelynottousetheInternetforhealthinformationthanthosewithahouseholdincomeover40,000 per year were 1.7 times more likely not to use the Internet for health information than those with a household income over 40,000peryearwere1.7timesmorelikelynottousetheInternetforhealthinformationthanthosewithahouseholdincomeover80,000 per year (ARR 1.66, 95% CI 1.24-2.12, P = 0.001). Conclusions: These findings have important implications for using the Internet for health promotion among young women. A substantial number of first-time mothers do not access the Internet for health information, in particular among those with lower levels of education, lower household income and without a computer at home.

Sociodemographic determinants of internet use and its impact on family planning behavior among young male in Ethiopia: evidence from EDHS 2016

International Journal of Scientific Reports, 2021

Background: Internet was preferred source of health information to retrieve relevant information. The study investigated sociodemographic determinants of internet and its impact on family planning behavior among young male in Ethiopia, 2016.Methods: The study was based on data from Ethiopia health and demographic survey 2016. The sample size was 4550 male youth age between 15-24 years include in EDHS 2016. Multilevel logistic regression was used to determine sociodemographic factor associated with internet utilization. The impact of internet use on family planning behaviors was assessed by propensity score matching using average treatment effect.Results: The magnitude of internet use in Ethiopia was 14% and factor associated with internet use included age between 20-24 years (AOR=0.60; CI=0.46-0.79), urban resident (AOR=3.94; CI=2.75-5.64), higher educational level (AOR=12.98; CI=2.69-62.66), lived in city administrative region (AOR=2.18; CI=1.46-3.28), respondent own mobile phone (...

An internet-based educational intervention for mothers targeting preschoolers’ weight management promotion (PWMP): a pilot study

BMC Public Health

Background The prevalence of overweight and obesity among children has raised public health concerns. This study aimed to design and evaluate a behaviour change intervention program to promote weight management among Tehranian preschoolers. Methods The PRECEDE-PROCEED model is one of the most popular models in health education used to develop and evaluate most educational interventions. In this one-group pre and post-pilot study, 13 mothers of preschoolers were recruited from preschools in Tehran (the capital of Iran), in August 2020. Mothers received a six-week educational intervention, including text messages and educational videos via WhatsApp, to increase their self-efficacy to overcome barriers changing their children’s lifestyle. Mothers reported preschoolers’ height and weight to assess Body Mass Index and filled out the Food Frequency Questionnaire, the Persian version of the children's health-related quality of life questionnaire, and demographic features. The “Children...

Household computer and Internet access: The digital divide in a pediatric clinic population

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2005

Past studies have noted a digital divide, or inequality in computer and Internet access related to socio-economic class. This study sought to measure how many households in a pediatric primary care outpatient clinic had household access to computers and the Internet, and whether this access differed by socio-economic status or other demographic information. We conducted a phone survey of a population-based sample of parents with children ages 0 to 11 years old. Analyses assessed predictors of having home access to a computer, the Internet, and high-speed Internet service. Overall, 88.9% of all households owned a personal computer, and 81.4% of all households had Internet access. Among households with Internet access, 48.3% had high speed Internet at home. There were significant associations between home computer ownership or Internet access and parental income or education. There was no relationship these factors and high speed Internet access. Over 60% of families with annual house...

The effectiveness of an online intervention in preventing excessive gestational weight gain: the e-moms roc randomized controlled trial

BMC pregnancy and childbirth, 2018

Excessive gestational weight gain (GWG) is common and contributes to the development of obesity in women and their offspring. Electronic or e-health interventions have the potential to reach large groups of women and prevent excessive GWG, but their effectiveness has not been demonstrated. The purpose of this study was to evaluate, in a real-world setting, the effectiveness of a self-directed, integrated online and mobile phone behavioral intervention in preventing excessive GWG. This effectiveness trial was a double-blind, three-arm trial with a parallel group design. Two arms received the same e-health intervention during pregnancy with the third arm serving as the placebo control. The intervention was based on a previously efficacious non-digital intervention that was adapted to electronic format. It included three behavior change tools: a weight gain tracker, and separate diet and physical activity goal-setting and self-monitoring tools. Both treatment conditions received access...