28 research outputs found
A cross-sectional study of maternal perception of fetal movements and antenatal advice in a general pregnant population, using a qualitative framework
BACKGROUND: Maternal perception of fetal movements has been used as a measure of fetal well-being. Yet a Cochrane review does not recommend formal fetal movement counting compared to discretional fetal movement counting. There is some evidence that suggests that the quality of fetal movements can precede quantitative changes however there has been almost no assessment of how women describe movements and whether these descriptions may be useful in a clinical setting. Therefore we aimed to examine maternal perception of fetal movements using a qualitative framework. METHODS: Using a cross-sectional design we identified women during routine antenatal care at a tertiary referral hospital, in Sydney, Australia. Eligible women were pregnant ≥ 28 weeks, carrying a single child, > 18 years old, and with sufficient English literacy to self-complete a questionnaire. Post-natally the medical records were reviewed and demographic, pregnancy and fetal outcome data were extracted. Text responses to questions regarding maternal descriptions of fetal movements throughout pregnancy, were analysed using thematic analysis in an explicit process. RESULTS: 156 women participated. There was a general pattern to fetal movement descriptions with increasing gestation, beginning with words such as “gentle”, to descriptions of “strong” and “limb” movements, and finally to “whole body” movements. Women perceived and described qualitative changes to fetal movements that changed throughout gestation. The majority (83%) reported that they were asked to assess fetal movements in an implicit qualitative method during their antenatal care. In contrast, only 16% regularly counted fetal movements and many described counting as confusing and reported that the advice they had received on counting differed. CONCLUSIONS: This is the first study to use qualitative analysis to identify that pregnant women perceive fetal movements and can describe them in a relatively homogenous way throughout pregnancy that follow a general pattern of fetal growth and development. These findings suggest that women’s perception of fetal wellbeing based on their own assessment of fetal movement is used in an ad hoc method in antenatal care by clinicians
Protocol for a randomised controlled trial of a decision aid for the management of pain in labour and childbirth [ISRCTN52287533]
BACKGROUND: Women report fear of pain in childbirth and often lack complete information on analgesic options prior to labour. Preferences for pain relief should be discussed before labour begins. A woman's antepartum decision to use pain relief is likely influenced by her cultural background, friends, family, the media, literature and her antenatal caregivers. Pregnant women report that information about analgesia was most commonly derived from hearsay and least commonly from health professionals. Decision aids are emerging as a promising tool to assist practitioners and their patients in evidence-based decision making. Decision aids are designed to assist patients and their doctors in making informed decisions using information that is unbiased and based on high quality research evidence. Decision aids are non-directive in the sense that they do not aim to steer the user towards any one option, but rather to support decision making which is informed and consistent with personal values. METHODS/DESIGN: We aim to evaluate the effectiveness of a Pain Relief for Labour decision aid, with and without an audio-component, compared to a pamphlet in a three-arm randomised controlled trial. Approximately 600 women expecting their first baby and planning a vaginal birth will be recruited for the trial. The primary outcomes of the study are decisional conflict (uncertainty about a course of action), knowledge, anxiety and satisfaction with decision-making and will be assessed using self-administered questionnaires. The decision aid is not intended to influence the type of analgesia used during labour, however we will monitor health service utilisation rates and maternal and perinatal outcomes. This study is funded by a competitive peer-reviewed grant from the Australian National Health and Medical Research Council (No. 253635). DISCUSSION: The Pain Relief for Labour decision aid was developed using the Ottawa Decision Support Framework and systematic reviews of the evidence about the benefits and risks of the non-pharmacological and pharmacological methods of pain relief for labour. It comprises a workbook and worksheet and has been developed in two forms – with and without an audio-component (compact disc). The format allows women to take the decision aid home and discuss it with their partner
Prevalence and determinants of unintended pregnancies amongst women attending antenatal clinics in Pakistan
Background: Unintended pregnancies are a global public health concern and contribute significantly to adverse maternal and neonatal health, social and economic outcomes and increase the risks of maternal deaths and neonatal mortality. In countries like Pakistan where data for the unintended pregnancies is scarce, studies are required to estimate its accurate prevalence and predictors using more specific tools such as the London Measure of Unplanned Pregnancies (LMUP). Methods: We conducted a hospital based cross sectional survey in two tertiary care hospitals in Pakistan. We used a pre tested structured questionnaire to collect the data on socio-demographic characteristics, reproductive history, awareness and past experience with contraceptives and unintended pregnancies using six item the LMUP. We used Univariate and multivariate analysis to explore the association between unintended pregnancies and predictor variables and presented the association as adjusted odds ratios. We also evaluated the psychometric properties of the Urdu version of the LMUP. Results: Amongst 3010 pregnant women, 1150 (38.2%) pregnancies were reported as unintended. In the multivariate analysis age \u3c 20 years (AOR 3.5 1.1-6.5), being illiterate (AOR 1.9 1.1-3.4), living in a rural setting (1.7 1.2-2.3), having a pregnancy interval of = \u3c 12 months (AOR 1.7 1.4-2.2), having a parity of \u3e2 (AOR 1.4 1.2-1.8), having no knowledge about contraceptive methods (AOR 3.0 1.7-5.4) and never use of contraceptive methods (AOR 2.3 1.4-5.1) remained significantly associated with unintended pregnancy. The Urdu version of the LMUP scale was found to be acceptable, valid and reliable with the Cronbach\u27s alpha of 0.85. Conclusions: This study explores a high prevalence of unintended pregnancies and important factors especially those related to family planning. Integrated national family program that provides contraceptive services especially the modern methods to women during pre-conception and post-partum would be beneficial in averting unintended pregnancies and their related adverse outcomes in Pakistan
A cross-sectional study of maternal perception of fetal movements and antenatal advice in a general pregnant population, using a qualitative framework
Abstract Background Maternal perception of fetal movements has been used as a measure of fetal well-being. Yet a Cochrane review does not recommend formal fetal movement counting compared to discretional fetal movement counting. There is some evidence that suggests that the quality of fetal movements can precede quantitative changes however there has been almost no assessment of how women describe movements and whether these descriptions may be useful in a clinical setting. Therefore we aimed to examine maternal perception of fetal movements using a qualitative framework. Methods Using a cross-sectional design we identified women during routine antenatal care at a tertiary referral hospital, in Sydney, Australia. Eligible women were pregnant ≥ 28 weeks, carrying a single child, > 18 years old, and with sufficient English literacy to self-complete a questionnaire. Post-natally the medical records were reviewed and demographic, pregnancy and fetal outcome data were extracted. Text responses to questions regarding maternal descriptions of fetal movements throughout pregnancy, were analysed using thematic analysis in an explicit process. Results 156 women participated. There was a general pattern to fetal movement descriptions with increasing gestation, beginning with words such as “gentle”, to descriptions of “strong” and “limb” movements, and finally to “whole body” movements. Women perceived and described qualitative changes to fetal movements that changed throughout gestation. The majority (83%) reported that they were asked to assess fetal movements in an implicit qualitative method during their antenatal care. In contrast, only 16% regularly counted fetal movements and many described counting as confusing and reported that the advice they had received on counting differed. Conclusions This is the first study to use qualitative analysis to identify that pregnant women perceive fetal movements and can describe them in a relatively homogenous way throughout pregnancy that follow a general pattern of fetal growth and development. These findings suggest that women’s perception of fetal wellbeing based on their own assessment of fetal movement is used in an ad hoc method in antenatal care by clinicians.</p
Women's Experiences of Care and Their Concerns and Needs Following a Significant Primary Postpartum Hemorrhage
Background: In the context of rising rates of postpartum hemorrhage and little data about its effect on women, this study aimed to describe the experiences of care, and the concerns and needs of women after a significant postpartum hemorrhage. Methods:
Hierarchische Modellsysteme zur Optimierung der Beatmungstherapie
With the greatest burden of infant undernutrition and morbidity in low and middle income countries (LMICs), there is a need for suitable approaches to monitor infants in a simple, low-cost and effective manner. Anthropometry continues to play a major role in characterising growth and nutritional status.We developed a range of models to aid in identifying neonates at risk of malnutrition. We first adopted a logistic regression approach to screen for a composite neonatal morbidity, low and high body fat (BF%) infants. We then developed linear regression models for the estimation of neonatal fat mass as an assessment of body composition and nutritional status.We fitted logistic regression models combining up to four anthropometric variables to predict composite morbidity and low and high BF% neonates. The greatest area under receiver-operator characteristic curves (AUC with 95% confidence intervals (CI)) for identifying composite morbidity was 0.740 (0.63, 0.85), resulting from the combination of birthweight, length, chest and mid-thigh circumferences. The AUCs (95% CI) for identifying low and high BF% were 0.827 (0.78, 0.88) and 0.834 (0.79, 0.88), respectively. For identifying composite morbidity, BF% as measured via air displacement plethysmography showed strong predictive ability (AUC 0.786 (0.70, 0.88)), while birthweight percentiles had a lower AUC (0.695 (0.57, 0.82)). Birthweight percentiles could also identify low and high BF% neonates with AUCs of 0.792 (0.74, 0.85) and 0.834 (0.79, 0.88). We applied a sex-specific approach to anthropometric estimation of neonatal fat mass, demonstrating the influence of the testing sample size on the final model performance.These models display potential for further development and evaluation in LMICs to detect infants in need of further nutritional management, especially where traditional methods of risk management such as birthweight for gestational age percentiles may be variable or non-existent, or unable to detect appropriately grown, low fat newborns