236 research outputs found

    Feasibility and safety of planned early discharge following laparotomy in gynecologic oncology with enhanced recovery protocol including opioid-sparing anesthesia

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    ObjectiveThis study aims to evaluate the feasibility and safety of planned postoperative day 1 discharge (PPOD1) among patients who undergo laparotomy (XL) in the department of gynecology oncology utilizing a modified enhanced recovery after surgery (ERAS) protocol including opioid-sparing anesthesia (OSA) and defined discharge criteria.MethodsPatients undergoing XL and minimally invasive surgery (MIS) were enrolled in this prospective, observational cohort study after the departmental implementation of a modified ERAS protocol. The primary outcome was quality of life (QoL) using SF36, PROMIS GI, and ICIQ-FLUTS at baseline and 2- and 6-week postoperative visits. Statistical significance was assessed using the two-tailed Student's t-test and non-parametric Mann–Whitney two-sample test.ResultsOf the 141 subjects, no significant demographic differences were observed between the XL group and the MIS group. The majority of subjects, 84.7% (61), in the XL group had gynecologic malignancy [vs. MIS group; 21 (29.2%), p < 0.001]. All patients tolerated OSA. The XL group required higher intraoperative opioids [7.1 ± 9.2 morphine milligram equivalents (MME) vs. 3.9 ± 6.9 MME, p = 0.02] and longer surgical time (114.2 ± 41 min vs. 96.8 ± 32.1 min, p = 0.006). No significant difference was noted in the opioid requirements at the immediate postoperative phase and the rest of the postoperative day (POD) 0 or POD 1. In the XL group, 69 patients (73.6%) were successfully discharged home on POD1. There was no increase in the PROMIS score at 2 and 6 weeks compared to the preoperative phase. The readmission rates within 30 days after surgery (XL 4.2% vs. MIS 1.4%, p = 0.62), rates of surgical site infection (XL 0% vs. MIS 2.8%, p = 0.24), and mean number of post-discharge phone calls (0 vs. 0, p = 0.41) were comparable between the two groups. Although QoL scores were significantly lower than baseline in four of the nine QoL domains at 2 weeks post-laparotomy, all except physical health recovered by the 6-week time point.ConclusionsPPOD1 is a safe and feasible strategy for XL performed in the gynecologic oncology department. PPOD1 did not increase opioid requirements, readmission rates compared to MIS, and patient-reported constipation and nausea/vomiting compared to the preoperative phase

    'You can take a horse to water but you can't make it drink': Exploring children's engagement and resistance in family therapy

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    The final publication is available at Springer via http://dx.doi.org/10.1007/s10591-012-9220-8Children’s engagement and disengagement, adherence and non-adherence, compliance and non-compliance in healthcare have important implications for services. In family therapy mere attendance to the appointments is no guarantee of engaging in the treatment process and as children are not the main initiators of attendance engaging them through the process can be a complex activity for professionals. Through a conversation analysis of naturally occurring family therapy sessions we explore the main discursive strategies that children employ in this context to passively and actively disengage from the therapeutic process and investigate how the therapists manage and attend to this. We note that children competently remove themselves from therapy through passive resistance, active disengagement, and by expressing their autonomy. Analysis reveals that siblings of the constructed ‘problem’ child are given greater liberty in involvement. We conclude by demonstrating how therapists manage the delicate endeavour of including all family members in the process and how engagement and re-engagement are essential for meeting goals and discuss broader implications for healthcare and other settings where children may disengage

    The 12-Word Philadelphia Verbal Learning Test Performances in Older Adults: Brain MRI and Cerebrospinal Fluid Correlates and Regression-Based Normative Data

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    Background/Aims: This study evaluated neuroimaging and biological correlates, psychometric properties, and regression-based normative data of the 12-word Philadelphia Verbal Learning Test (PVLT), a list-learning test. Methods: Vanderbilt Memory and Aging Project participants free of clinical dementia and stroke (n = 230, aged 73 ± 7 years) completed a neuropsychological protocol and brain MRI. A subset (n = 111) underwent lumbar puncture for analysis of Alzheimer’s disease (AD) and axonal integrity cerebrospinal fluid (CSF) biomarkers. Regression models related PVLT indices to MRI and CSF biomarkers adjusting for age, sex, race/ethnicity, education, APOE-Δ4 carrier status, cognitive status, and intracranial volume (MRI models). Secondary analyses were restricted to participants with normal cognition (NC; n = 127), from which regression-based normative data were generated. Results: Lower PVLT performances were associated with smaller medial temporal lobe volumes (p < 0.05) and higher CSF tau concentrations (p < 0.04). Among NC, PVLT indices were associated with white matter hyperintensities on MRI and an axonal injury biomarker (CSF neurofilament light; p < 0.03). Conclusion: The PVLT appears sensitive to markers of neurodegeneration, including temporal regions affected by AD. Conversely, in cognitively normal older adults, PVLT performance seems to relate to white matter disease and axonal injury, perhaps reflecting non-AD pathways to cognitive change. Enhanced normative data enrich the clinical utility of this tool

    Lived Experience-Centred Word Clouds May Improve Research Uncertainty Gathering in Priority Setting Partnerships

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    INTRODUCTION: AO Spine RECODE-DCM was a multi-stakeholder priority setting partnership (PSP) to define the top ten research priorities for degenerative cervical myelopathy (DCM). Priorities were generated and iteratively refined using a series of surveys administered to surgeons, other healthcare professionals (oHCP) and people with DCM (PwDCM). The aim of this work was to utilise word clouds to enable the perspectives of people with the condition to be heard earlier in the PSP process than is traditionally the case. The objective was to evaluate the added value of word clouds in the process of defining research uncertainties in National Institute for Health Research (NIHR) James Lind Alliance (JLA) Priority Setting Partnerships. METHODS: Patient-generated word clouds were created for the four survey subsections of the AO Spine RECODE-DCM PSP: diagnosis, treatment, long-term management and other issues. These were then evaluated as a nested methodological study. Word-clouds were created and iteratively refined by an online support group of people with DCM, before being curated by the RECODE-DCM management committee and expert healthcare professional representatives. The final word clouds were embedded within the surveys administered at random to 50% of participants. DCM research uncertainties suggested by participants were compared pre- and post-word cloud presentation. RESULTS: A total of 215 (50.9%) participants were randomised to the word cloud stream, including 118 (55%) spinal surgeons, 52 (24%) PwDCM and 45 (21%) oHCP. Participants submitted 434 additional uncertainties after word cloud review: word count was lower and more uniform across each survey subsections compared to pre-word cloud uncertainties. Twenty-three (32%) of the final 74 PSP summary questions did not have a post-word cloud contribution and no summary question was formed exclusively on post-word cloud uncertainties. There were differences in mapping of pre- and post-word cloud uncertainties to summary questions, with greater mapping of post-word cloud uncertainties to the number 1 research question priority: raising awareness. Five of the final summary questions were more likely to map to the research uncertainties suggested by participants after having reviewed the word clouds. CONCLUSIONS: Word clouds may increase the perspective of underrepresented stakeholders in the research question gathering stage of priority setting partnerships. This may help steer the process towards research questions that are of highest priority for people with the condition

    Long-term thermal sensitivity of Earth’s tropical forests

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    The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate

    Examining the generalizability of research findings from archival data

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    This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability—for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples
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