75 research outputs found

    Long-term risks of stress and urgency urinary incontinence after different vaginal delivery modes

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    BACKGROUND: Although operative delivery increases the risk of immediate pelvic floor trauma, no previous studies have adequately compared directly the effects of different kinds of instrumental vaginal deliveries on stress urinary incontinence and/or urgency urinary incontinence. OBJECTIVE(S): The objectives of the study were to estimate and compare the impact of different kinds of vaginal deliveries, including spontaneous, vacuum, and forceps, on stress and urgency urinary incontinence. STUDY DESIGN: All women aged 20 years or older, living in 1 county in Norway were invited to participate in 2 surveys addressing stress and urgency urinary incontinence using validated questions, "Do you leak urine when you cough, sneeze, laugh, or lift something heavy?" and "Do you have involuntary loss of urine in connection with sudden and strong urge to void?" with response options yes or no. Incontinence data were linked to the Medical Birth Registry of Norway. For this study, we included only women who had a history of vaginal birth(s). Case definitions for stress and urgency urinary incontinence were moderate to severe based on Sandvik Severity Index (slight, moderate, severe). We adjusted analyses for age, parity, body mass index, and time since last delivery and addressed effect modification, including an age threshold of 50 years. RESULTS: The final analysis included 13,694 women of whom 12.7% reported stress urinary incontinence and 8.4% urgency urinary incontinence. Among women aged younger than 50 years, there was a statistically significant difference in the risk of stress urinary incontinence for forceps delivery (odds ratio, 1.42, 95% confidence interval, 1.09-1.86, absolute difference 5.0%) but not for vacuum (odds ratio, 0.80, 95% confidence interval, 0.59-1.09) when compared with spontaneous vaginal delivery. Among women aged younger than 50 years, forceps also had increased risk for stress urinary incontinence (odds ratio, 1.76, 95% confidence interval, 1.20-2.60) when compared with vacuum. There was no association of stress or urgency urinary incontinence with mode of delivery in women aged 50 years or older. CONCLUSION: For women aged younger than 50 years, forceps delivery is associated with significant increased long-term risk of stress urinary incontinence compared with other vaginal deliveries.Peer reviewe

    How to write an ICS/IUGA conference abstract

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    Contains fulltext : 88292.pdf (publisher's version ) (Closed access)INTRODUCTION: This article aims to condense the lectures and discussions from workshops on good reporting at IUGA Como 2009 and ICS San Francisco 2009, providing practical advice for the novice researcher summarising their data for the first time. CONCLUSIONS: Drafting an abstract can be a time consuming process. Formal guidance, such as CONSORT and STROBE, exists for the kinds of information that should be included regarding almost all designs of clinical trials. Follow the abstract submission rules closely to avoid outright rejection. Plan to highlight the novelty, scientific merit and clinical impact of the work. Try not to overstate the importance of the findings. Do not forget to publish the work in a peer reviewed journal.1 mei 201

    Virtsahätä vaivaa tupakoivaa naista

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    Smoking and bladder symptoms in women Obstet Gynecol 2011;118:643–

    The Impact of Nocturia on Mortality: A Systematic Review and Meta-Analysis

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    Purpose: Nocturia (waking from sleep at night to void) is a common cause of sleep disruption associated with increased comorbidity and impaired quality of life. However, its impact on mortality remains unclear. We performed a systematic review and meta-analysis to evaluate the association of nocturia with mortality as a prognostic factor and a causal risk factor. Materials and Methods: We searched PubMed (R), Scopus (R), CINAHL (R) (Cumulative Index of Nursing and Allied Health Literature) and major conference abstracts up to December 31, 2018. Random effects meta-analyses were done to address the adjusted RR of mortality in people with nocturia. Metaregression was performed to explore potential determinants of heterogeneity, including the risk of bias. We applied the GRADE (Grades of Recommendation, Assessment, Development and Evaluation) framework to rate the quality of evidence for nocturia as a prognostic risk factor for mortality and separately as a cause of mortality. Results: Of the 5,230 identified reports 11 observational studies proved eligible for inclusion. To assess nocturia 10 studies used symptom questionnaires and 1 used frequency-volume charts. Nocturia was defined as 2 or more episodes per night in 6 studies (55%) and as 3 or more episodes per night in 5 (45%). Pooled estimates demonstrated a RR of 1.27 (95% CI 1.16-1.40, I-2=48%) with an absolute 1.6% and 4.0% 5-year mortality difference in individuals 60 and 75 years old, respectively. The pooled estimates of relative risk did not differ significantly across varying age, gender, followup, nocturia case definition, risk of bias or study region. We rated the quality of evidence for nocturia as a prognostic factor as moderate and as a cause of mortality as very low. Conclusions: Nocturia is probably associated with an approximately 1.3-fold increased risk of death.Peer reviewe

    Randomized controlled trials in de-implementation research : a systematic scoping review

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    Background: Healthcare costs are rising, and a substantial proportion of medical care is of little value. De-implementation of low-value practices is important for improving overall health outcomes and reducing costs. We aimed to identify and synthesize randomized controlled trials (RCTs) on de-implementation interventions and to provide guidance to improve future research. Methods: MEDLINE and Scopus up to May 24, 2021, for individual and cluster RCTs comparing de-implementation interventions to usual care, another intervention, or placebo. We applied independent duplicate assessment of eligibility, study characteristics, outcomes, intervention categories, implementation theories, and risk of bias. Results: Of the 227 eligible trials, 145 (64%) were cluster randomized trials (median 24 clusters; median follow-up time 305 days), and 82 (36%) were individually randomized trials (median follow-up time 274 days). Of the trials, 118 (52%) were published after 2010, 149 (66%) were conducted in a primary care setting, 163 (72%) aimed to reduce the use of drug treatment, 194 (85%) measured the total volume of care, and 64 (28%) low-value care use as outcomes. Of the trials, 48 (21%) described a theoretical basis for the intervention, and 40 (18%) had the study tailored by context-specific factors. Of the de-implementation interventions, 193 (85%) were targeted at physicians, 115 (51%) tested educational sessions, and 152 (67%) multicomponent interventions. Missing data led to high risk of bias in 137 (60%) trials, followed by baseline imbalances in 99 (44%), and deficiencies in allocation concealment in 56 (25%). Conclusions: De-implementation trials were mainly conducted in primary care and typically aimed to reduce low-value drug treatments. Limitations of current de-implementation research may have led to unreliable effect estimates and decreased clinical applicability of studied de-implementation strategies. We identified potential research gaps, including de-implementation in secondary and tertiary care settings, and interventions targeted at other than physicians. Future trials could be improved by favoring simpler intervention designs, better control of potential confounders, larger number of clusters in cluster trials, considering context-specific factors when planning the intervention (tailoring), and using a theoretical basis in intervention design. Registration: OSF Open Science Framework hk4b2.Peer reviewe

    Randomized controlled trials in de-implementation research : a systematic scoping review

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    Background: Healthcare costs are rising, and a substantial proportion of medical care is of little value. De-implementation of low-value practices is important for improving overall health outcomes and reducing costs. We aimed to identify and synthesize randomized controlled trials (RCTs) on de-implementation interventions and to provide guidance to improve future research. Methods: MEDLINE and Scopus up to May 24, 2021, for individual and cluster RCTs comparing de-implementation interventions to usual care, another intervention, or placebo. We applied independent duplicate assessment of eligibility, study characteristics, outcomes, intervention categories, implementation theories, and risk of bias. Results: Of the 227 eligible trials, 145 (64%) were cluster randomized trials (median 24 clusters; median follow-up time 305 days), and 82 (36%) were individually randomized trials (median follow-up time 274 days). Of the trials, 118 (52%) were published after 2010, 149 (66%) were conducted in a primary care setting, 163 (72%) aimed to reduce the use of drug treatment, 194 (85%) measured the total volume of care, and 64 (28%) low-value care use as outcomes. Of the trials, 48 (21%) described a theoretical basis for the intervention, and 40 (18%) had the study tailored by context-specific factors. Of the de-implementation interventions, 193 (85%) were targeted at physicians, 115 (51%) tested educational sessions, and 152 (67%) multicomponent interventions. Missing data led to high risk of bias in 137 (60%) trials, followed by baseline imbalances in 99 (44%), and deficiencies in allocation concealment in 56 (25%). Conclusions: De-implementation trials were mainly conducted in primary care and typically aimed to reduce low-value drug treatments. Limitations of current de-implementation research may have led to unreliable effect estimates and decreased clinical applicability of studied de-implementation strategies. We identified potential research gaps, including de-implementation in secondary and tertiary care settings, and interventions targeted at other than physicians. Future trials could be improved by favoring simpler intervention designs, better control of potential confounders, larger number of clusters in cluster trials, considering context-specific factors when planning the intervention (tailoring), and using a theoretical basis in intervention design. Registration: OSF Open Science Framework hk4b2.Peer reviewe
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