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Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy. GDM is defined as glucose intolerance of variable severity with onset or first recognition during pregnancy. The purpose of this paper is to produce information on prevalence, screening and diagnosis, pathophysiology and dietary, medical and lifestyle management of GDM.

This literature review aimed to document and record the results of the most updated studies published dealing with dietary, medical and lifestyle factors in managing GDM.

The prevalence of GDM differs worldwide based on population characteristics, race/ethnicity and diagnostic criteria. The pathophysiology of GDM is multifactorial and it is likely that genetic and environmental factors are associated with the occurrence of GDM. Medical nutritional therapy remains the mainstay of GDM management and aerobic and resistance physical activities are helpful adjunctive therapy when euglycemia is not attained by the medical nutritional therapy alone. When diet and exercise fail to achieve glycemic control, pharmacological agents such as insulin therapy and oral hypoglycemic medications are prescribed. Plasma glucose measurement is an essential part of glycemic control during pregnancy, as well as glycemic control can be evaluated using indicators of glycemic control such as hemoglobin A1c (HbA1c), glycated albumin and fructosamine.

This review is a comprehensive review that illustrates the effect of healthy diet, medical therapy and lifestyle change on improving GDM condition.

The aim of this study is to determine the preferences to participate in diabetes screening program of women with gestational diabetes mellitus (GDM) in postpartum period.

The data of retrospective and descriptive study were collected using “Individual Identification Form” and “Information Form for the Screening of Diabetes in the Postpartum Period” from 151 women in referred to obstetrics and gynecology clinic of a university hospital in Turkey.

Only 21.9% of women had diabetes screening in postpartum period and 21.2% of the participants were diagnosed with type 2 diabetes. It was determined that the participants mostly participated in screening because of the diabetes history in their family (30.3%). Women who had diabetes screening in postpartum period had lower level of education than those who did not and their level of knowledge about the screening in postpartum and the history of abortion were higher (p < 0.01).

The rate of participation in the screening for diabetes in the postpartum period is very low in pregnant women diagnosed with GDM. It was determined that the educational status, history of previous abortion and knowledge level of the women were factors that prevented participation in diabetes screening. This research is original because there are inadequacy of studies examining determining the participation status of pregnant women with GDM to diabetes screening in the literature. This study will contribute to health professionals in order to improve preventive factors and increase the participation of pregnant women with GDM in diabetes screening in the postpartum period.

Economic evaluations often utilise individual-patient data (IPD) to calculate probabilities of events based on observed proportions. However, this approach is limited when interest is in the likelihood of extreme biomarker values that vary by observable characteristics such as blood glucose in gestational diabetes mellitus (GDM). Here, instead of directly calculating probabilities using the IPD, we utilised flexible parametric models that estimate the full conditional distribution, capturing the non-normal characteristics of biomarkers and enabling the derivation of tail probabilities for specific populations. In the case study, we used data from the Born in Bradford study (N = 10,353) to model two non-normally distributed GDM biomarkers (2-hours post-load and fasting glucose). First, we applied fully parametric maximum likelihood to estimate alternative flexible models and information criteria for model selection. We then integrated the chosen distributions in a probabilistic decision model that estimates the cost-effective diagnostic thresholds and the expected costs and quality-adjusted life years (QALYs) of the alternative strategies (‘Testing and Treating’, ‘Treat all’, ‘Do Nothing’). The model adopts the ‘payer’ perspective and expresses results in net monetary benefits (NMB). The log-logistic and Singh-Maddala distributions offered the optimal fit for the 2-hours post-load and fasting glucose biomarkers, respectively. At £13,000 per QALY, maximum NMB with ‘Test and Treat’ (−£330) was achieved for a diagnostic threshold of fasting glucose >6.6 mmol/L, 2-hours post-load glucose >9 mmol/L, identifying 2.9% of women as GDM positive. The case study demonstrated that fully parametric approaches can be implemented in healthcare modelling when interest lies in extreme biomarker values.

The purpose of this paper is to examine the non‐communicable disease (NCD) known as gestational diabetes mellitus (GDM). Specifically, this paper aims to examine the influence of NCDs on health outcomes both worldwide and throughout the Islamic Republic of Iran, to discuss the current issues surrounding GDM and its impact on pregnant women and their children, and to present a new multi‐faceted approach for preventing future occurrences of GDM.

The paper examines the current issues surrounding NCDs and GDM, in terms of its prevalence and risk factors, and the efforts taken by the Iranian government to address the growing problem of GDM, through a comprehensive literature review. Further, this paper presents the basis for a new multi‐faceted approach for addressing and preventing GDM.

GDM is an NCD that can damage the health of both mothers and children. The disease has been linked to macrosomia, congenital cardiac and central nervous system abnormalities, and skeletal muscle deformities among neonates. Pregnant women who develop GDM are more likely to have induced labor, require caesarean section, and develop type 2 diabetes later in life. In the most severe cases, GDM can even result in fetal and maternal mortality. Worldwide prevalence of GDM varies by country, but Iranian women are a particularly high‐risk population. In fact, approximately one of every 20 pregnancies in Iran will be affected by complications and outcomes related to GDM.

In response to growing concerns surrounding the current prevalence of GDM both worldwide and within the Islamic Republic of Iran, along with the associated impact of GDM on health outcomes, the paper presents a multi‐faceted approach for addressing this NCD. This approach will involve a consolidated program of prevention and control with a focus on health‐care solutions which promote both awareness and education.

The purpose of this paper is to investigate health care consumers’ diabetes term usage patterns based on Yahoo!Answers social question and answers (Q&A) forum, identified characteristics and relationships among terms within three pairs of related categories identified from the Q&A log, and revealed users’ diabetes term usage patterns.

The Q&A analysis method allowed first-hand investigation of massive data from health care consumers. Visual term clustering analysis across categories was conducted using a multi-dimensional scaling (MDS) visualization method which provides an intuitive and interactive way to explore and discover term association patterns in a visual environment. Closely related categories were identified and corresponding visual term clustering analyses between categories (Sign & Symptom and Organ & Body Part; Diagnosis and Test; and Diagnosis and Medication) as well at the term level were analyzed.

The findings show that there are close relationships between terms in two related categories. Related terms were grouped and patterns were revealed. All the stress values of the MDS analyses fall below 0.10 and RSQ for each of the combined categories is over 0.90 which indicate the investigated terms were well clustered in the visual analyses.

The study provides a unique research methodology for similar consumer health research studies. The results of this study offer insight into consumer health term use behavior, and enrich existing thesauri and subject heading lists, enhance diabetes-related web sites or portals, and improve effectiveness of internal search engines.

The purpose of this paper is to rethink the concept of organizational culture as something that emerges bottom-up by using the sociological concepts of boundary object and boundary work as an analytical lens and to show how this approach can help understand and facilitate intersectoral coordination.

We used observations and qualitative interviews to develop “deep” knowledge about processes of intersectoral coordination. The study draws on a conceptual framework of “boundary work” and “boundary objects” to show how a bottom-up perspective on organizational culture can produce better understanding of and pave the way for intersectoral coordination. We use a case of health professionals engaged in two Danish intersectoral programs developing and providing health promotion services for women with gestational diabetes mellitus (GDM).

The study showed how boundary work revolves around negotiations on how to define, understand and act on the diagnosis of GDM. This diagnosis has the characteristics of a “boundary object”, being more loosely structured in general terms, but strongly structured in local settings. Boundary objects help connect different professionals and facilitate coordination. The analysis showed how the introduction of time and the concept of “lifelong health promotion” helped to transgress existing organizational and professional boundaries.

The findings contribute to the literature on organizational culture and intersectoral coordination. We highlight the benefits of a practice-oriented, bottom-up perspective for a better understanding of how shared meaning is produced in cross professional coordination and collaboration. While the theoretical implications will be general applicable when studying organizational culture, the implications for practice are sensitive to context and the processes we have described as the outcomes of boundary work are generated from cases that were most likely to provide deep insight into our research topic.

For practice this can build bridges between organizational and professional boundaries.

The findings contribute to the literature on organizational culture and intersectoral coordination. We highlight the benefits of a practice-oriented, bottom-up perspective for a better understanding of how shared meaning is produced in cross professional coordination. This may build bridges between organizational and professional boundaries in practice settings.

Interprofessional collaboration and coordination are critical to developing solutions to complex problems, and many workplaces engage in coordination and collaboration across organizational boundaries. This development changes work conditions and workplaces for many people. The ethnographic study of workplaces needs to re-configure the toolbox to adjust to such changes. The purpose of this study was to explore how the ethnographic study of dispersed workplaces can benefit from the analytical concept of boundary work.

A multi-sited ethnographic study was conducted in two health promotion programs, introducing new collaborative relations across sectors and professions. The concept of boundary work was applied as the conceptual frame and introduced the diagnosis of gestational diabetes mellitus (GDM) as a boundary object.

Professional boundaries are key to understanding interorganizational and interprofessional collaborations. The ethnographic study of complex, multi-sited settings using boundary work as a conceptual framework can enrich workplace ethnographies by demonstrating how professions position themselves through framing. Such framing strategies are used to construct, defend or contest boundaries. Boundary objects may potentially bridge devices connecting people across boundaries.

The traditional ethnographic notion of “following” an object or a subject is difficult in a workplace environment dispersed across multiple sites and involving many different actors. This suggests that workplace ethnographies studying interorganizational workplaces would benefit from a shift in focus from place-based or group-based ethnography to a field-level ethnography of relations using boundary work as an analytical frame.

The nutritional status of a woman before and during pregnancy is important for a healthy pregnancy outcome. The increasing prevalence of maternal overweight and obesity worldwide has become a problem of concern among public health professionals. The purpose of this paper is to review the evidence regarding the impact of maternal weight on pregnancy outcomes to facilitate the provision of evidence-based information to pregnant women during antenatal clinics in Ghana.

A search was conducted in PubMed, PLOS ONE, Cochrane, Embase and bibliographies for all studies on maternal weight and pregnancy outcomes published from January 2000 to May 2013. The key words used for the search were: “pre-pregnancy BMI”, “gestational weight gain”, “maternal weight”, “pregnancy outcomes” and “birth outcomes”.

The search yielded 113 papers; out of these, 35 studies were included in the review after exclusion of duplicates and irrelevant papers. Excluded papers included animal studies and human studies that did not meet inclusion criteria.

The review only considered papers published from 2000 to 2013 and might have left out other important papers published before 2000 and after 2013.

The origins of the studies included in the review suggest paucity of studies on maternal weight and pregnancy outcomes in developing countries where there is a double burden of malnutrition. There is the need for more studies to be initiated in this area.

Results of this review have revealed that the extremes of maternal weight prior to and during pregnancy increase the risk of maternal and fetal complications.

This paper provides evidential information on the impact of maternal weight on pregnancy outcomes for counseling during antenatal clinics.

Searchers need to develop a set of heuristics (a variety of problem solving tactics and operations) for searching full‐text databases. Those heuristics which have evolved for searching bibliographic databases are often not effective when applied to full‐text. Presented here are methods which can be helpful in increasing precision when searching full‐text journal files for items on a given topic at BRS. Mead Data Central and Dialog. All of the techniques are based on achieving some repetition of central concepts as expressed in natural language. Research in automatic indexing and in full‐text retrieval provides a theoretical justification for a heuristic of this type. Schematic representations of strategies and sample searches which represent application of the techniques on each of the three systems are provided.