116 research outputs found

    Mortality among contraceptive pill users: cohort evidence from Royal College of General Practitioners’ Oral Contraception Study

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    Objective To see if the mortality risk among women who have used oral contraceptives differs from that of never users

    ‘They’re more like ordinary stroppy British women’: Attitudes and expectations of maternity care professionals to UK-born ethnic minority women

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    Objective To explore the attitudes and expectations of maternity care professionals to UK-born ethnic minority mothers. Methods Qualitative in-depth interviews with 30 professionals from eight NHS maternity units in England that provide services for large proportions of women of black Caribbean, black African, Indian, Pakistani and Irish descent. Results All the professionals reported providing care to both UK-born and migrant mothers from ethnic minorities. Most of them felt that they could differentiate between UK-born and migrant mothers based mainly on language fluency and accent. ‘Westernized dress’ and ‘freedom’ were also cited as indicators. Overall, professionals found it easier to provide services to UK-born mothers and felt that their needs were more like those of white English mothers than those of migrant mothers. UK-born mothers were generally thought to be assertive and expressive, and in control of care-related decision-making whereas some South Asian Muslim women were thought to be constrained by family influences. Preconceived ideas about ethnic minority mothers' tolerance of pain in labour, use of pharmacological pain relief measures and mode of delivery were recurring themes. Women's education and social class were felt to be major influences on the uptake of maternity care, regardless of ethnicity. Conclusions Professionals appeared to equate the needs of UK-born ethnic minority women with those of white English women. Overall, this has positive implications for care provision. Despite this, specific behavioural expectations and unconscious stereotypical views were evident and have the potential to affect clinical practice

    Variability between human experts and artificial intelligence in identification of anatomical structures by ultrasound in regional anaesthesia: a framework for evaluation of assistive artificial intelligence

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    Background: ScanNavTM Anatomy Peripheral Nerve Block (ScanNav™) is an artificial intelligence (AI)-based device that produces a colour overlay on real-time B-mode ultrasound to highlight key anatomical structures for regional anaesthesia. This study compares consistency of identification of sono-anatomical structures between expert ultrasonographers and ScanNav™. Methods: Nineteen experts in ultrasound-guided regional anaesthesia (UGRA) annotated 100 structures in 30 ultrasound videos across six anatomical regions. These annotations were compared with each other to produce a quantitative assessment of the level of agreement amongst human experts. The AI colour overlay was then compared with all expert annotations. Differences in human–human and human–AI agreement are presented for each structure class (artery, muscle, nerve, fascia/serosal plane) and structure. Clinical context is provided through subjective assessment data from UGRA experts. Results: For human–human and human–AI annotations, agreement was highest for arteries (mean Dice score 0.88/0.86), then muscles (0.80/0.77), and lowest for nerves (0.48/0.41). Wide discrepancy exists in consistency for different structures, both with human–human and human–AI comparisons; highest for sartorius muscle (0.91/0.92) and lowest for the radial nerve (0.21/0.27). Conclusions: Human experts and the AI system both showed the same pattern of agreement in sono-anatomical structure identification. The clinical significance of the differences presented must be explored; however the perception that human expert opinion is uniform must be challenged. Elements of this assessment framework could be used for other devices to allow consistent evaluations that inform clinical training and practice. Anaesthetists should be actively engaged in the development and adoption of new AI technology

    Therapists’ experiences of remotely delivering cognitive-behavioural or graded-exercise interventions for fatigue: a qualitative evaluation

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    Objectives: Fatigue is a challenging feature of all inflammatory rheumatic diseases. LIFT (Lessening the Impact of Fatigue in inflammatory rheumatic diseases: a randomised Trial) included remotely delivered personalised exercise programme (PEP) or cognitive-behavioural approach (CBA) interventions. The aim of this nested qualitative evaluation was to understand rheumatology health professionals (therapists’) perspectives of delivering the interventions in the LIFT trial. Methods: A subgroup of therapists who had delivered the PEP and CBA interventions took part in semi-structured telephone interviews. Results: Seventeen therapists (13 women, 4 men) who delivered PEP (n = 8) or CBA (n = 9) interventions participated. Five themes were identified: In ‘The benefits of informative, structured training’, therapists described how they were able to practice their skills, and the convenience of having the LIFT manual to refer to. When ‘Getting into the swing of it’, supporting patients gave therapists the confidence to tailor the content of the manual to each patient. Clinical supervision supported therapists to gain feedback and request assistance when required. In ‘Delivering the intervention’ therapists reported that patients valued the opportunity to address their fatigue and challenge their own beliefs. ‘Challenges in delivering the LIFT intervention’ therapists struggled to work collaboratively with patients who lacked motivation or stopped engaging. Finally, ‘Lift developing clinical skills’ therapists gained confidence and professional satisfaction seeing patients’ fatigue improve. Conclusion: Findings support the value of skills training for rheumatology health professionals to deliver a remote fatigue management intervention tested in the LIFT trial. These insights can inform service provision and clinical practice Lay summary What does this mean for patients ? Fatigue can be a challenge in inflammatory rheumatic diseases (IRDs). The LIFT study (Lessening the Impact of Fatigue in inflammatory rheumatic diseases: a randomized Trial) explored interventions to support people with fatigue. These were: a cognitive-behavioural approach (CBA), a personalized exercise programme (PEP), or usual care. People with IRDs were chosen randomly to take part in seven sessions of CBA, seven sessions of PEP or usual care. All sessions (aside from the first PEP session) were delivered over the phone. The aim of this study was to explore therapists' experiences of delivering the intervention. Seventeen therapists (13 women and 4 men) took part; eight had delivered the PEP intervention, and 9 delivered the CBA intervention. Therapists who delivered LIFT told us they enjoyed the chance to practice their skills, and that the LIFT manual gave them the confidence to tailor the intervention to each patient. Clinical supervision was valued. Therapists also shared that LIFT improved their skills and they were happy to see patients' fatigue improve over time. These new results can inform clinical practice, and how services are provided

    Disrupted limbic-prefrontal effective connectivity in response to fearful faces in lifetime depression

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    Background: Multiple brain imaging studies of negative emotional bias in major depressive disorder (MDD) have used images of fearful facial expressions and focused on the amygdala and the prefrontal cortex. The results have, however, been inconsistent, potentially due to small sample sizes (typically N < 50 ). It remains unclear if any alterations are a characteristic of current depression or of past experience of depression, and whether there are MDD-related changes in effective connectivity between the two brain regions.Methods: Activations and effective connectivity between the amygdala and dorsolateral prefrontal cortex (DLPFC) in response to fearful face stimuli were studied in a large population-based sample from Generation Scotland. Participants either had no history of MDD ( N = 664 in activation analyses, N = 474 in connectivity analyses) or had a diagnosis of MDD during their lifetime (LMDD, N = 290 in activation analyses, N = 214 in connectivity analyses). The within-scanner task involved implicit facial emotion processing of neutral and fearful faces.Results: Compared to controls, LMDD was associated with increased activations in left amygdala ( PFWE = 0.031 , k E = 4 ) and left DLPFC ( PFWE = 0.002 , k E = 33 ), increased mean bilateral amygdala activation ( β = 0.0715, P = 0.0314 ), and increased inhibition from left amygdala to left DLPFC, all in response to fearful faces contrasted to baseline. Results did not appear to be attributable to depressive illness severity or antidepressant medication status at scan time.Limitations: Most studied participants had past rather than current depression, average severity of ongoing depression symptoms was low, and a substantial proportion of participants were receiving medication. The study was not longitudinal and the participants were only assessed a single time.Conclusions: LMDD is associated with hyperactivity of the amygdala and DLPFC, and with stronger amygdala to DLPFC inhibitory connectivity, all in response to fearful faces, unrelated to depression severity at scan time. These results help reduce inconsistency in past literature and suggest disruption of ‘bottom-up’ limbic-prefrontal effective connectivity in depression
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