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Measuring health utility in varying pregnancy contexts among a diverse cohort of pregnant women.

ABSTRACT: OBJECTIVE:To contribute to decision analysis by estimating utility, defined as an individual's valuation of specific health states, for different pregnancy contexts. STUDY DESIGN:Cross-sectional analysis of data from pregnant women recruited at pregnancy testing clinics during June 2014-June 2015. Utility was measured using the visual analog scale (VAS), PROMIS GSF-derived utility, standard gamble (SG), and time-trade-off (TTO) approaches. Six dimensions of pregnancy context were assessed including: intention, desirability, planning, timing, wantedness, and happiness. Multivariable regression modeling was used to examine the associations between pregnancy context and utility while controlling for women's sociodemographic and health characteristics. RESULTS:Among 123 participants with diverse characteristics, aged 27±6 years, with mean gestation of 7.5±3 weeks, few reported optimal pregnancy contexts. Mean utility of the pregnancy state varied across contexts, whether measured with VAS (0.28-0.91), PROMIS GSF-derived utility (0.66-0.75), SG (0.985-1.00) or TTO (0.9990-0.99999). The VAS-derived mean utility score for unintended pregnancy was 0.68 (95% CI 0.59, 0.77). Multivariable regression analysis demonstrated significant disutility of unintended pregnancy, as well as all other unfavorable pregnancy contexts, when measured by VAS. In contrast, PROMIS GSF-derived utility only detected a significant reduction in utility among ambivalent compared to wanted pregnancy, while SG and TTO did not show meaningful differences in utility across pregnancy contexts. CONCLUSIONS:Unintended pregnancy is associated with significant patient-reported disutility, as is pregnancy occurring in other unfavorable contexts. VAS-based measurements provide the most nuanced measures of the utility for pregnancy in varying contexts. IMPLICATIONS:Decision analyses, including assessments of the cost-effectiveness of pregnancy related interventions, should incorporate measures of the utility of pregnancy in various contexts.

SUBMITTER: Lundsberg LS

PROVIDER: S-EPMC6267929 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Measuring health utility in varying pregnancy contexts among a diverse cohort of pregnant women.

Lundsberg Lisbet S LS Xu Xiao X Schwarz Eleanor B EB Gariepy Aileen M AM

Contraception 20170817 6

<h4>Objective</h4>To contribute to decision analysis by estimating utility, defined as an individual's valuation of specific health states, for different pregnancy contexts.<h4>Study design</h4>Cross-sectional analysis of data from pregnant women recruited at pregnancy testing clinics during June 2014-June 2015. Utility was measured using the visual analog scale (VAS), PROMIS GSF-derived utility, standard gamble (SG), and time-trade-off (TTO) approaches. Six dimensions of pregnancy context were ...[more]

PMID: 28823842

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Project description:BackgroundMicronutrition in pregnancy is critical to impact not only fetal growth and development but also long-term physical and psychiatric health outcomes.ObjectiveEstimate micronutrient intake from food and dietary supplements in a diverse cohort of pregnant women and compare intake to the Dietary Reference Intakes (DRIs).DesignSecondary analysis of women enrolled in a multi-site clinical trial of docosahexaenoic acid (DHA) supplementation who provided their dietary intake using the diet history questionnaire-II (n = 843) or multiple 24 h recalls (n = 178) at baseline and their intake of nutritional supplements at baseline through 30 days postpartum.Participants/setting1021 participants from the parent trial who had reliable data for dietary intake, supplement intake, or both.Main outcome measuresMicronutrient intake from dietary and supplement sources and percentage of intakes meeting the DRIs for pregnancy.Statistical analyses performedPercent of participants whose intake was below the estimated average requirement (EAR) or adequate intake (AI) and above the tolerable upper limit (UL).ResultsDietary intakes of choline, folate, iron, vitamin D, zinc, vitamin E, magnesium, and potassium, were below the AI or EAR for 30-91% of the participants; thiamin and vitamin B6 were also below the AI or EAR for non-Hispanic/Latina women. Supplement intake improved the intake for most; however, 80% of the group remained below the AI for choline and 52.5% for potassium while 30% remained below the EAR for magnesium. Folate and iron intakes were above the UL for 80% and 19%, respectively.ConclusionsDietary supplements, despite their variability, allowed the majority of this cohort of pregnant women to achieve adequate intakes for most micronutrients. Choline, magnesium, and potassium were exceptions. Of interest, folate intake was above the tolerable UL for the majority and iron for 16.8% of the participants. Clinicians have the opportunity to address the most common nutrient deficits and limits with advice on food sources that provide choline, magnesium, and potassium and to ensure folate is not overabundant. More research is needed to determine if these findings are similar in a cross-sectional population.

Project description:BackgroundIntimate partner violence (IPV) during pregnancy is a global health problem with adverse consequences for mothers, infants and families. We hypothesise that information about IPV and safety behaviours during pregnancy has the potential to increase quality of life and the use of safety behaviours and prevent IPV.MethodsA multicentre randomised controlled trial among culturally diverse pregnant women in Norway, to test the effect of a tablet-based video intervention about IPV and safety behaviours. Women attending routine antenatal check-ups alone (baseline) were screened for violence (Abuse Assessment Screen) by responding to questions on a tablet, and randomised (1:1) by computer to receive an intervention or a control video. The intervention video presented information about IPV and safety behaviours. The controls viewed a video promoting healthy pregnancy in general. Outcome measures were assessed three months post-partum: The World Health Organization Quality of Life-BREF, the Composite Abuse Scale on violence during the last 12 months and use of safety behaviours based on a 15-item checklist. A general linear model for repeated measures was used to examine the intervention's effect. The analyses were conducted by intention to treat.ResultsAmong 1818 eligible women, 317 reported IPV and were randomised to an intervention (157) or a control group (160). A total of 251 (79.2%) women completed the follow-up questionnaire: 120 (76.4%) in the intervention group and 131 (81.9%) in the control group. At follow-up, 115 (45.8%) women reported a history of IPV. Few women (n = 39) reported IPV during the last 12 months. No differences in quality-of-life domains and overall quality of life and health were found between the intervention and the control groups. We detected no differences between the use of safety behaviours or IPV frequency and severity during the last 12 months.ConclusionOur intervention did not improve women's quality of life, use of safety behaviours or exposure to violence. Nevertheless, a tablet-based tool may motivate women experiencing IPV to seek help and support. More research is needed regarding tablet-based interventions for women experiencing IPV, particularly culturally sensitive interventions.Trial registrationNCT03397277 registered in clinicaltrials.gov on 11/01/2018.

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Project description:Compliance with dietary guidelines among pregnant women can positively influence not only their own health but also the health of their babies. Measuring the compliance requires professional skills in nutrition and dietary counseling. In China, few simple and effective techniques assess dietary quality among pregnant women, especially in rural areas. We aimed to establish a new simple and effective assessment technique, the "Chinese Dietary Guidelines Compliance Index for Pregnant Women (CDGCI-PW)" and assess the association between maternal dietary compliance and risks of pregnancy complications. The CDGCI-PW consists of 13 main components which were based on the 2016 edition of the Chinese dietary guidelines for pregnant women. Each component was assigned a different score range, and the overall score ranged from 0 to 100 points. The Tongji Maternal and Child Health Cohort study (from September 2013 to May 2016) was a prospective cohort study designed to examine maternal dietary and lifestyle effects on the health of pregnant women and their offspring. The maternal diet during the second trimester was compared with the corresponding recommended intake of the Chinese balanced dietary pagoda for pregnant women to verify their compliance with dietary guidelines. The association between maternal dietary quality and risks of pregnancy complications was estimated by regression analysis. Receiver operating characteristic (ROC) curves were constructed to identify the optimal cut-off values of CDGCI-PW for gestational hypertension and gestational diabetes mellitus (GDM). Among the 2708 pregnant women, 1489 were eventually followed up. The mean CDGCI-PW score was 74.1 (standard deviation (SD) 7.5) in the second trimester. The majority of foods showed the following trend: the higher the CDGCI-PW score, the higher the proportion of pregnant women who reported food intake within the recommended range. Moreover, a higher maternal CDGCI-PW score was significantly associated with lower risks of gestational hypertension [odds ratio (OR) (95% confidence interval [(CI): 0.30 (0.20, 0.37)] and GDM [OR (95% CI): 0.38 (0.31, 0.48)]. The optimal CDGCI-PW cut-off value for gestational hypertension was ≥68.5 (sensitivity 82%; specificity: 61%; area under the ROC curve, AUC = 0.743), and the optimal CDGCI-PW cut-off score for GDM was ≥75.5 (sensitivity 43%; specificity: 81%; area under the ROC curve, AUC = 0.714). The CDGCI-PW is a simple and useful technique that assesses maternal diet quality during pregnancy, while adherence to the CDGCI-PW is associated with a lower risk of gestational hypertension and GDM.

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Measuring health utility in varying pregnancy contexts among a diverse cohort of pregnant women.

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Measuring health utility in varying pregnancy contexts among a diverse cohort of pregnant women.

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