Dataset Information

A Tailored Letter Based on Electronic Health Record Data Improves Gestational Weight Gain Among Women With Gestational Diabetes Mellitus: The Gestational Diabetes' Effects on Moms (GEM) Cluster-Randomized Controlled Trial.

ABSTRACT:

Objective

Evaluate whether a tailored letter improved gestational weight gain (GWG) and whether GWG mediated a multicomponent intervention's effect on postpartum weight retention among women with gestational diabetes mellitus (GDM).

Research design and methods

A cluster-randomized controlled trial of 44 medical facilities (n = 2,014 women) randomized to usual care or a multicomponent lifestyle intervention delivered during pregnancy (tailored letter) and postpartum (13 telephone sessions) to reduce postpartum weight retention. The tailored letter, using electronic health record (EHR) data, recommended an end-of-pregnancy weight goal tailored to prepregnancy BMI and GWG trajectory at GDM diagnosis: total GWG at the lower limit of the IOM range if BMI ≥18.5 kg/m² or the midpoint if <18.5 kg/m² and weight maintenance if women had exceeded this. The outcomes for this study were the proportion of women meeting the Institute of Medicine (IOM) guidelines for weekly rate of GWG from GDM diagnosis to delivery and meeting the end-of-pregnancy weight goal.

Results

The tailored letter significantly increased the proportion of women meeting the IOM guidelines (72.6% vs. 67.1%; relative risk 1.08 [95% CI 1.01-1.17]); results were similar among women with BMI <25.0 kg/m² (1.07 [1.00-1.15]) and ≥25.0 kg/m² (1.08 [0.98-1.18]). Thirty-six percent in the intervention vs. 33.0% in usual care met the end-of-pregnancy weight goal (1.08 [0.99-1.18]); the difference was statistically significant among women with BMI <25.0 kg/m² (1.28 [1.05-1.57]) but not ≥25.0 kg/m² (0.99 [0.87-1.13]). Meeting the IOM guidelines mediated the effect of the multicomponent intervention in reducing postpartum weight retention by 24.6% (11.3-37.8%).

Conclusions

A tailored EHR-based letter improved GWG, which mediated the effect of a multicomponent intervention in reducing postpartum weight retention.

SUBMITTER: Hedderson MM

PROVIDER: S-EPMC6463614 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Publications

A Tailored Letter Based on Electronic Health Record Data Improves Gestational Weight Gain Among Women With Gestational Diabetes Mellitus: The Gestational Diabetes' Effects on Moms (GEM) Cluster-Randomized Controlled Trial.

Hedderson Monique M MM Brown Susan D SD Ehrlich Samantha F SF Tsai Ai-Lin AL Zhu Yeyi Y Quesenberry Charles P CP Crites Yvonne Y Ferrara Assiamira A

Diabetes care 20180418 7

<h4>Objective</h4>Evaluate whether a tailored letter improved gestational weight gain (GWG) and whether GWG mediated a multicomponent intervention's effect on postpartum weight retention among women with gestational diabetes mellitus (GDM).<h4>Research design and methods</h4>A cluster-randomized controlled trial of 44 medical facilities (<i>n</i> = 2,014 women) randomized to usual care or a multicomponent lifestyle intervention delivered during pregnancy (tailored letter) and postpartum (13 tele ...[more]

PMID: 29669736

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Project description:BackgroundWomen with gestational diabetes (GDM) are at high risk of developing diabetes later in life. After a GDM diagnosis, women receive prenatal care to control their blood glucose levels via diet, physical activity and medications. Continuing such lifestyle skills into early motherhood may reduce the risk of diabetes in this high risk population. In the Gestational Diabetes' Effects on Moms (GEM) study, we are evaluating the comparative effectiveness of diabetes prevention strategies for weight management designed for pregnant/postpartum women with GDM and delivered at the health system level.Methods/designThe GEM study is a pragmatic cluster randomized clinical trial of 44 medical facilities at Kaiser Permanente Northern California randomly assigned to either the intervention or usual care conditions, that includes 2,320 women with a GDM diagnosis between March 27, 2011 and March 30, 2012. A Diabetes Prevention Program-derived print/telephone lifestyle intervention of 13 telephonic sessions tailored to pregnant/postpartum women was developed. The effectiveness of this intervention added to usual care is to be compared to usual care practices alone, which includes two pages of printed lifestyle recommendations sent to postpartum women via mail. Primary outcomes include the proportion of women who reach a postpartum weight goal and total weight change. Secondary outcomes include postpartum glycemia, blood pressure, depression, percent of calories from fat, total caloric intake and physical activity levels. Data were collected through electronic medical records and surveys at baseline (soon after GDM diagnosis), 6 weeks (range 2 to 11 weeks), 6 months (range 12 to 34 weeks) and 12 months postpartum (range 35 to 64 weeks).DiscussionThere is a need for evidence regarding the effectiveness of lifestyle modification for the prevention of diabetes in women with GDM, as well as confirmation that a diabetes prevention program delivered at the health system level is able to successfully reach this population. Given the use of a telephonic case management model, our Diabetes Prevention Program-derived print/telephone intervention has the potential to be adopted in other settings and to inform policies to promote the prevention of diabetes among women with GDM.

Project description:BackgroundEpidemiological findings are inconsistent regarding the associations between air pollution exposure during pregnancy and gestational diabetes mellitus (GDM). Several limitations exist in previous studies, including potential outcome and exposure misclassification, unassessed confounding, and lack of simultaneous consideration of air pollution mixtures and particulate matter (PM) constituents.ObjectivesTo assess the association between GDM and maternal residential exposure to air pollution, and the joint effect of the mixture of air pollutants and PM constituents.MethodsDetailed clinical data were obtained for 395,927 pregnancies in southern California (2008-2018) from Kaiser Permanente Southern California (KPSC) electronic health records. GDM diagnosis was based on KPSC laboratory tests. Monthly average concentrations of fine particulate matter < 2.5 μm (PM2.5), <10 μm (PM10), nitrogen dioxide (NO2), and ozone (O3) were estimated using kriging interpolation of Environmental Protection Agency's routine monitoring station data, while PM2.5 constituents (i.e., sulfate, nitrate, ammonium, organic matter and black carbon) were estimated using a fine-resolution geoscience-derived model. A multilevel logistic regression was used to fit single-pollutant models; quantile g-computation approach was applied to estimate the joint effect of air pollution and PM component mixtures. Main analyses adjusted for maternal age, race/ethnicity, education, median family household income, pre-pregnancy BMI, smoking during pregnancy, insurance type, season of conception and year of delivery.ResultsThe incidence of GDM was 10.9% in the study population. In single-pollutant models, we observed an increased odds for GDM associated with exposures to PM2.5, PM10, NO2 and PM2.5 constituents. The association was strongest for NO2 [adjusted odds ratio (OR) per interquartile range: 1.176, 95% confidence interval (CI): 1.147-1.205)]. In multi-pollutant models, increased ORs for GDM in association with one quartile increase in air pollution mixtures were found for both kriging-based regional air pollutants (NO2, PM2.5, and PM10, OR = 1.095, 95% CI: 1.082-1.108) and PM2.5 constituents (i.e., sulfate, nitrate, ammonium, organic matter and black carbon, OR = 1.258, 95% CI: 1.206-1.314); NO2 (78%) and black carbon (48%) contributed the most to the overall mixture effects among all krigged air pollutants and all PM2.5 constituents, respectively. The risk of GDM associated with air pollution exposure were significantly higher among Hispanic mothers, and overweight/obese mothers.ConclusionThis study found that exposure to a mixture of ambient PM2.5, PM10, NO2, and PM2.5 chemical constituents was associated with an increased risk of GDM. NO2 and black carbon PM2.5 contributed most to GDM risk.

Dataset Information

A Tailored Letter Based on Electronic Health Record Data Improves Gestational Weight Gain Among Women With Gestational Diabetes Mellitus: The Gestational Diabetes' Effects on Moms (GEM) Cluster-Randomized Controlled Trial.

Objective

Research design and methods

Results

Conclusions

Publications

A Tailored Letter Based on Electronic Health Record Data Improves Gestational Weight Gain Among Women With Gestational Diabetes Mellitus: The Gestational Diabetes' Effects on Moms (GEM) Cluster-Randomized Controlled Trial.

Similar Datasets

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