196 research outputs found

    Limiting postpartum weight retention through early antenatal intervention: the HeLP-her randomised controlled trial

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    BACKGROUND: Pregnancy is a recognised high risk period for excessive weight gain, contributing to postpartum weight retention and obesity development long-term. We aimed to reduce postpartum weight retention following a low-intensity, self-management intervention integrated with routine antenatal care during pregnancy. METHODS: 228 women at increased risk of gestational diabetes, <15 weeks gestation were randomised to intervention (4 self-management sessions) or control (generic health information). Outcomes, collected at baseline and 6 weeks postpartum, included anthropometrics (weight and height), physical activity (pedometer) and questionnaires (health behaviours). RESULTS: Mean age (32.3 ± 4.7 and 31.7 ± 4.4 years) and body mass index (30.4 ± 5.6 and 30.3 ± 5.9 kg/m(2)) were similar between intervention and control groups, respectively at baseline. By 6 weeks postpartum, weight change in the control group was significantly higher than the intervention group with a between group difference of 1.45 ± 5.1 kg (95% CI: −2.86,-0.02; p < 0.05) overall, with a greater difference in weight found in overweight, but not obese women. Intervention group allocation, higher baseline BMI, GDM diagnosis, country of birth and higher age were all independent predictors of lower weight retention at 6 weeks postpartum on multivariable linear regression. Other factors related to weight including physical activity, did not differ between groups. CONCLUSIONS: A low intensity intervention, integrated with standard antenatal care is effective in limiting postpartum weight retention. Implementation research is now required for scale-up to optimise antenatal health care. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry Number: ACTRN12608000233325. Registered 7/5/2008

    Measuring physical activity during pregnancy

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    BACKGROUND: Currently, little is known about physical activity patterns in pregnancy with prior estimates predominantly based on subjective assessment measures that are prone to error. Given the increasing obesity rates and the importance of physical activity in pregnancy, we evaluated the relationship and agreement between subjective and objective physical activity assessment tools to inform researchers and clinicians on optimal assessment of physical activity in pregnancy. METHODS: 48 pregnant women between 26-28 weeks gestation were recruited. The Yamax pedometer and Actigraph accelerometer were worn for 5-7 days under free living conditions and thereafter the International Physical Activity Questionnaire (IPAQ) was completed. IPAQ and pedometer estimates of activity were compared to the more robust and accurate accelerometer data. RESULTS: Of 48 women recruited, 30 women completed the study (mean age: 33.6 ± 4.7 years; mean BMI: 31.2 ± 5.1 kg/m(2)) and 18 were excluded (failure to wear [n = 8] and incomplete data [n = 10]). The accelerometer and pedometer correlated significantly on estimation of daily steps (ρ = 0.69, p < 0.01) and had good absolute agreement with low systematic error (mean difference: 505 ± 1498 steps/day). Accelerometer and IPAQ estimates of total, light and moderate Metabolic Equivalent minutes/day (MET min(-1) day(-1)) were not significantly correlated and there was poor absolute agreement. Relative to the accelerometer, the IPAQ under predicted daily total METs (105.76 ± 259.13 min(-1) day(-1)) and light METs (255.55 ± 128.41 min(-1) day(-1)) and over predicted moderate METs (-112.25 ± 166.41 min(-1) day(-1)). CONCLUSION: Compared with the accelerometer, the pedometer appears to provide a reliable estimate of physical activity in pregnancy, whereas the subjective IPAQ measure performed less accurately in this setting. Future research measuring activity in pregnancy should optimally encompass objective measures of physical activity. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry Number: ACTRN12608000233325. Registered 7/5/2008

    Effectiveness and implementation of an obesity prevention intervention: the HeLP-her Rural cluster randomised controlled trial

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    To impact on the obesity epidemic, interventions that prevent weight gain across populations are urgently needed. However, even the most efficacious interventions will have little impact on obesity prevention unless they are successfully implemented in diverse populations and settings. Implementation research takes isolated efficacy studies into practice and policy and is particularly important in obesity prevention where there is an urgent need to accelerate the evidence to practice cycle. Despite the recognised need, few obesity prevention interventions have been implemented in real life settings and to our knowledge rarely target rural communities

    Development, implementation and evaluation of a clinical research engagement and leadership capacity building program in a large Australian health care service

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    BACKGROUND: Health professionals need to be integrated more effectively in clinical research to ensure that research addresses clinical needs and provides practical solutions at the coal face of care. In light of limited evidence on how best to achieve this, evaluation of strategies to introduce, adapt and sustain evidence-based practices across different populations and settings is required. This project aims to address this gap through the co-design, development, implementation, evaluation, refinement and ultimately scale-up of a clinical research engagement and leadership capacity building program in a clinical setting with little to no co-ordinated approach to clinical research engagement and education. METHODS/DESIGN: The protocol is based on principles of research capacity building and on a six-step framework, which have previously led to successful implementation and long-term sustainability. A mixed methods study design will be used. Methods will include: (1) a review of the literature about strategies that engage health professionals in research through capacity building and/or education in research methods; (2) a review of existing local research education and support elements; (3) a needs assessment in the local clinical setting, including an online cross-sectional survey and semi-structured interviews; (4) co-design and development of an educational and support program; (5) implementation of the program in the clinical environment; and (6) pre- and post-implementation evaluation and ultimately program scale-up. The evaluation focuses on research activity and knowledge, attitudes and preferences about clinical research, evidence-based practice and leadership and post implementation, about their satisfaction with the program. The investigators will evaluate the feasibility and effect of the program according to capacity building measures and will revise where appropriate prior to scale-up. DISCUSSION: It is anticipated that this clinical research engagement and leadership capacity building program will enable and enhance clinically relevant research to be led and conducted by health professionals in the health setting. This approach will also encourage identification of areas of clinical uncertainty and need that can be addressed through clinical research within the health setting

    Continuous quality improvement and metabolic screening during pregnancy at primary health centres attended by Aboriginal and Torres Strait Islander women

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    Objective: To investigate associations between the provision of routine metabolic screening and follow-up in pregnancy and participation by primary health care centres in a large-scale continuous quality improvement (CQI) initiative.Design: Longitudinal analysis of 2592 audited maternal health records.Setting and participants: Seventy-six community-controlled or government-operated primary health care centres serving predominantly Aboriginal and Torres Strait Islander communities, in urban, regional or remote locations in five Australian states and territories.Intervention: Up to four CQI cycles supported by the Audit and Best Practice for Chronic Disease Research Partnership.Main outcomes measures:Screening and follow-up for body mass index (BMI), blood pressure and diabetes in pregnancy.Results: Overall, 87.9% of women attending the participating health centres were Aboriginal or Torres Strait Islander. Women attending a health centre after it had conducted one or more CQI cycles were more likely to receive BMI, blood pressure and diabetes screening. For example, the proportion of women receiving diabetes screening at baseline (before the first CQI cycle) was 56.1%; after cycle 1 it was 63.7% (odds ratio [OR], 1.3; 95% CI, 1.0&ndash;1.6), after cycle 2, 61.6% (OR, 1.2; 95% CI, 0.9&ndash;1.7), after cycle 3, 63.7% (OR, 1.7; 95% CI, 1.1&ndash;2.6), and after cycle 4, 75.5% (OR, 3.4; 95% CI, 1.9&ndash;5.9). Diabetes screening was associated with higher self-ratings of overall organisational systems (P = 0.03), self-management support (P = 0.04) and organisational influence and integration (P = 0.01).Conclusion: These findings support the value of CQI approaches that focus on systems-level issues in primary care to improve the provision of recommended pregnancy care at primary health care centres in predominantly Aboriginal and Torres Strait Islander communities

    Experiences of organizational practices that advance women in health care leadership

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    Importance: Women are underrepresented in health care leadership positions. Organizational practices and culture play a key role in mitigating this disparity. Objective: To explore the experiences of women in leadership roles and inform how health care organizations can support the advancement of women into leadership. Design, Setting, and Participants: This qualitative study used a constructivist grounded theory approach applied over a 1-year period (May 1, 2021, to May 31, 2022) in a large private health care network in Australia. Women were eligible if they had been in leadership positions for more than 5 years. Purposive and theoretical sampling guided recruitment of 28 women, representing medical, nursing, and allied health specialties. Interviews lasted 1 hour, producing 500 pages of transcripts for analysis. Main Outcomes and Measures The primary outcome was a model of organizational practices and conditions that advance women in health care leadership, extrapolated from the collective experiences of women in leadership. Key elements pertained to organizational patterns of interaction and group norms and behaviors that contributed toward women’s experiences of career advancement. Results: Overall, 28 women (23 [82%] White; 3 [11%] Southeast Asian) participated in the study, 10 (36%) of whom were in nursing, 9 (32%) of whom were in allied health, and 9 (32%) of whom were in medical disciplines. Organizational practices that advance women in health care leadership were highly dependent on conducive organizational culture enhancing women’s credibility and capability as leaders. Four interrelated elements were identified that create the necessary conditions for an organizational culture to advance women in health care leadership, including (1) identifying and actively addressing systemic barriers, (2) challenging gendered assumptions and expectations of leadership behaviors, (3) providing mentorship to shape career opportunities, and (4) determining how these conditions all contribute toward raising women’s credibility to enable internalizing a leadership identity. For women, advancing to leadership involved organizations moving away from ad hoc, inconsistent applications of gender equity practices and generating supportive practices that reinforced a workforce culture of credibility, collaboration, and continuous improvement to support women. Conclusions and Relevance: In light of persisting inequity in health care leadership, women’s experiences were captured in this qualitative study to identify organizational practices that support their advancement. Insights into factors that influence efficacy of these practices, including building a supportive culture and mentoring, are discussed. This research informs a National Health and Medical Research Council initiative with international collaborators to support organizations in advancing women in health care leadership

    A systematic mapping review of the associations between pregnancy intentions and health-related lifestyle behaviours or psychological wellbeing

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    The aim of this study was to conduct a systematic mapping review of the literature that explored associations of pregnancy intentions with health-related lifestyle behaviours and psychological wellbeing before and during pregnancy. Six databases were searched (May 2017) for papers relating to pregnancy intentions, health-related lifestyle behaviours, and psychological wellbeing. The literature was mapped according to the preconception or pregnancy period; prospective or retrospective variable assessment; and reported lifestyle behaviours and psychological wellbeing outcomes. Of 19,430 retrieved records, 303 studies were eligible. Pregnancy intentions were considered during the preconception period in 103 studies (only 23 assessed prospectively), and during the pregnancy period in 208 studies (141 prospectively). Associations between pregnancy intention and preconception behaviours/psychological wellbeing were primarily reported for supplement use (n = 58) and were lacking for diet/exercise, and psychological factors. For behaviours/psychological wellbeing during pregnancy, associations with pregnancy intention were focused on prenatal care (n = 79), depression (n = 61), and smoking (n = 56) and were lacking for diet/exercise. Only 7 studies assessed pregnancy intentions with a validated tool. Despite a large body of literature, there were several methodological limitations identified, namely assessment of pregnancy intentions with non-validated measures and the reliance on retrospective assessment. Future primary studies are needed to fill gaps in our understanding regarding energy-balance-related behaviours. Future studies (including reviews/meta-analyses) should take care to address the noted limitations to provide a comprehensive and accurate understanding of the relationships between pregnancy intentions and health-related lifestyle behaviours and psychological wellbeing before and during pregnancy

    Development, validation and clinical utility of a risk prediction model for adverse pregnancy outcomes in women with gestational diabetes:The PeRSonal GDM model

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    BACKGROUND: The ability to calculate the absolute risk of adverse pregnancy outcomes for an individual woman with gestational diabetes mellitus (GDM) would allow preventative and therapeutic interventions to be delivered to women at high-risk, sparing women at low-risk from unnecessary care. We aimed to develop, validate and evaluate the clinical utility of a prediction model for adverse pregnancy outcomes in women with GDM. METHODS: A prediction model development and validation study was conducted on data from a observational cohort. Participants included all women with GDM from three metropolitan tertiary teaching hospitals in Melbourne, Australia. The development cohort comprised those who delivered between 1 July 2017 to 30 June 2018 and the validation cohort those who delivered between 1 July 2018 to 31 December 2018. The main outcome was a composite of critically important maternal and perinatal complications (hypertensive disorders of pregnancy, large-for-gestational age neonate, neonatal hypoglycaemia requiring intravenous therapy, shoulder dystocia, perinatal death, neonatal bone fracture and nerve palsy). Model performance was measured in terms of discrimination and calibration and clinical utility evaluated using decision curve analysis. FINDINGS: The final PeRSonal (Prediction for Risk Stratified care for women with GDM) model included body mass index, maternal age, fasting and 1-hour glucose values (75-g oral glucose tolerance test), gestational age at GDM diagnosis, Southern and Central Asian ethnicity, East Asian ethnicity, nulliparity, past delivery of an large-for-gestational age neonate, past pre-eclampsia, GWG until GDM diagnosis, and family history of diabetes. The composite adverse pregnancy outcome occurred in 27% (476/1747) of women in the development (1747 women) and in 26% (244/955) in the validation (955 women) cohorts. The model showed excellent calibration with slope of 0.99 (95% CI 0.75 to 1.23) and acceptable discrimination (c-statistic 0.68; 95% CI 0.64 to 0.72) when temporally validated. Decision curve analysis demonstrated that the model was useful across a range of predicted probability thresholds between 0.15 and 0.85 for adverse pregnancy outcomes compared to the alternatives of managing all women with GDM as if they will or will not have an adverse pregnancy outcome. INTERPRETATION: The PeRSonal GDM model comprising of routinely available clinical data shows compelling performance, is transportable across time, and has clinical utility across a range of predicted probabilities. Further external validation of the model to a more disparate population is now needed to assess the generalisability to different centres, community based care and low resource settings, other healthcare systems and to different GDM diagnostic criteria. FUNDING: This work is supported by the Mothers and Gestational Diabetes in Australia 2 NHMRC funded project #1170847

    Commentary: Obesity and Weight Gain in Pregnancy and Postpartum: an Evidence Review of Lifestyle Interventions to Inform Maternal and Child Health Policies

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    We read with interest the recent review published in Frontiers in Endocrinology that was focused on obesity and weight gain in pregnancy and postpartum. The review of systematic reviews and meta-analyses, investigating the effects of lifestyle interventions on gestational weight gain (GWG) and postpartum weight retention (PPWR), provides evidence showing that lifestyle interventions can reduce excess weight gain and associated risk factors. We agree unconditionally that the burden of maternal and childhood obesity needs to be reduced urgently.Funding for this research has been provided from the Australian Government's Medical Research Future Fund (MRFF)
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