76 research outputs found

    Dissecting the Workforce and Workplace for Clinical Endocrinology, and the Work of Endocrinologists Early in Their Careers

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    [Excerpt] No national mechanism is in place for an informed, penetrating, and systematic assessment of the physician workforce such as that achieved by the National Science Foundation (NSF) for the periodic evaluation of the nation’s scientists and engineers. Likewise, knowledge of the workforce for clinical research is enigmatic and fragmentary despite the serial recommendations of “blue-ribbon” panels to establish a protocol for the recurrent assessment of clinical investigators early in their careers. Failure to adopt a national system for producing timely, high-quality data on the professional activities of physicians limits the application of improvement tools for advancing clinical investigation and ultimately improving clinical practice. The present study was designed as a pilot project to test the feasibility of using Web-based surveys to estimate the administrative, clinical, didactic, and research work of subspecialty physicians employed in academic, clinical, federal, and pharmaceutical workplaces. Physician members of The Endocrine Society (TES) were used as surrogate prototypes of a subspecialty workforce because of their manageable number and investigative tradition. The results establish that Web-based surveys provide a tool to assess the activities of a decentralized workforce employed in disparate workplaces and underscore the value of focusing on physician work within the context of particular workplaces within a subspecialty. Our report also provides a new and timely snapshot of the amount and types of research performed by clinically trained endocrinologists and offers an evidenced-based framework for improving the investigative workforce in this medical subspecialty

    Pregnancy complications as markers for subsequent maternal cardiovascular disease: Validation of a maternal recall questionnaire

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    Background: We designed and tested the validity of a questionnaire to characterize maternal recall of pregnancy complications associated with increased future cardiovascular disease risk, based on the 2011 American Heart Association (AHA) guidelines. Methods: A maternal recall questionnaire of pregnancy history was administered to 971 patients who had participated in a previous cohort study of 1,608 pregnant women. Medical records from the study pregnancy served as the gold standard. Prevalence, sensitivity (sens), specificity (spec), positive predictive value (PPV), negative predictive value (NPV), and/or Spearman's correlation coefficients (r) were calculated for each question. Results: A total of 526 (54%) individuals recontacted responded. Respondents were more likely to be older, white, educated, and nulliparous and were less likely to deliver low-birthweight infants in the study pregnancy than were individuals who did not respond. Mean length of recall was 4.35 years (standard deviation [SD] 0.46) postpartum. Maternal recall was most accurate for gestational diabetes (sens: 92%, spec: 98%, PPV: 79%, NPV: 99%), infant birthweight (r=0.95), and gestation length (r=0.85). Maternal recall was modest for preeclampsia (sens: 79%, spec: 97%, PPV: 68%, NPV: 98%) and pregnancy-associated hypertension, including preeclampsia or gestational hypertension (sens: 60%, spec: 95%, PPV: 64%, NPV: 94%). Conclusions: This validation study demonstrated that the majority of women could accurately recall a history of gestational diabetes, infant birthweight, and gestational age at delivery, 4 years postpartum on average. Recall of preeclampsia and pregnancy-associated hypertension overall was modest. Maternal report of these pregnancy conditions may help clinicians identify women at increased risk for cardiovascular disease

    Diabetes Screening Reminder for Women With Prior Gestational Diabetes: A Randomized Controlled Trial

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    To evaluate whether an electronic health record reminder improves rates of screening for type 2 diabetes (T2DM) in women with prior gestational diabetes (GDM)

    Barriers to Follow-up for Women with a History of Gestational Diabetes

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    Women with gestational diabetes (GDM) are at increased risk for type 2 diabetes (T2DM), but many do not receive recommended follow-up. We sought to identify barriers to follow-up screening

    Patient journey during and after a pre-eclampsia-complicated pregnancy:a cross-sectional patient registry study

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    OBJECTIVES: To gain insight into the patient journey through a pre-eclampsia-complicated pregnancy. DESIGN: Cross-sectional patient registry study. SETTING: Online patient registry initiated by the Preeclampsia Foundation. PARTICIPANTS: Women with a history of pre-eclampsia enrolled in The Preeclampsia Registry (TPR). PRIMARY AND SECONDARY OUTCOME MEASURES: Retrospective patient-reported experience measures concerning awareness of pre-eclampsia, timing and type of information on pre-eclampsia received, involvement in decision making regarding medical care, mental/emotional impact of the pre-eclampsia-complicated pregnancy and impact on future pregnancy planning. RESULTS: Of 3618 TPR-participants invited to complete the Patient Journey questionnaire, data from 833 (23%) responders were available for analysis. Most responders were white (n=795, 95.4%) and lived in the USA (n=728, 87.4%). Before their pre-eclampsia diagnosis, 599 (73.9%) responders were aware of the term ‘pre-eclampsia’, but only 348 (43.7%) were aware of its associated symptoms. Women with a lower level of education were less likely to have heard of pre-eclampsia (OR 0.36, 95% CI 0.21 to 0.62). Around the time of diagnosis, 29.2% of responders did not feel involved in the decision making, which was associated with reporting a serious mental/emotional impact of the pre-eclampsia experience (OR 2.46, 95% CI 1.58 to 3.84). Over time, there was an increase in the proportion of women who were aware of the symptoms of pre-eclampsia (32.2% before 2011 to 52.5% after 2016; p<0.001) and in the proportion of responders stating they received counselling about the later-life health risks associated with pre-eclampsia (14.2% before 2011 to 25.6% after 2016; p=0.005). CONCLUSIONS: This study demonstrates that improved patient education regarding pre-eclampsia is needed, that shared decision making is of great importance to patients to enhance their healthcare experience, and that healthcare providers should make efforts to routinely incorporate counselling about the later-life health risks associated with pre-eclampsia. TRIAL REGISTRATION NUMBER: NCT02020174

    Gestational Glucose Tolerance and Maternal Metabolic Profile at 3 Years Postpartum

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    To estimate the independent effect of gestational impaired glucose tolerance, defined as a single abnormal oral glucose tolerance test (OGTT) value, on metabolic dysfunction at 3 years postpartum

    Plasma Glycated CD59, a Novel Biomarker for Detection of Pregnancy-Induced Glucose Intolerance.

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    OBJECTIVE: Plasma glycated CD59 (pGCD59) is an emerging biomarker in diabetes. We assessed whether pGCD59 could predict the following: the results of the glucose challenge test (GCT) for screening of gestational diabetes mellitus (GDM) (primary analysis); and the diagnosis of GDM and prevalence of large for gestational age (LGA) newborns (secondary analyses). RESEARCH DESIGN AND METHODS: Case-control study of 1,000 plasma samples from women receiving standard prenatal care, 500 women having a normal GCT (control subjects) and 500 women with a failed GCT and a subsequent oral glucose tolerance test (case patients). RESULTS: Compared with control subjects, the median (interquartile range) pGCD59 value was 8.5-fold higher in case patients and 10-fold higher in GDM patients, as follows: control subjects 0.33 (0.19); case patients 2.79 (1.4); GDM patients 3.23 (1.43) (P < 0.001); area under the receiver operating characteristic curve 0.92. LGA prevalence was 4.3% in the lowest quartile and 13.5% in the highest quartile of pGCD59. CONCLUSIONS: One pGCD59 measurement during weeks 24-28 identifies pregnancy-induced glucose intolerance with high sensitivity and specificity and can potentially identify the risk for LGA
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