IntroductionGeneral Practitioners (GPs) and allied healthcare professionals working in primary care are regularly required to make decisions with, for and on behalf of patients who lack capacity. In ...England and Wales, these decisions are made for incapacitated adult patients under the Mental Capacity Act 2005, which primarily requires that decisions are made in the patient’s ‘best interests’. Regarding children, decisions are also made in their best interests but are done so under the Children Act 1989, which places paramount importance on the welfare of the child. Decisions for children are usually made by parents, but a GP may become involved if he or she feels a parent is not acting in the best interests of the child. Internationally, including elsewhere in the UK, different approaches are taken. We hypothesise that, despite the legislation and professional guidelines, there are many different approaches taken by GPs and allied healthcare professionals in England and Wales when making these complex decisions with, for and on behalf of patients who lack capacity. To better understand what is known about how these decisions are made, we plan to undertake a scoping review and directed content analysis of the literature. While the majority of decisions made in primary care are made by GPs, for completeness, this review will include all allied healthcare professionals working in primary care.Methods and analysisTo ensure a wide breadth of literature is captured, a scoping review will be undertaken as described by Arksey and O’Malley (2005). A five-stage approach will be taken when conducting this review: (1) identifying the research question; (2) identifying relevant papers; (3) study selection; (4) data extraction and (5) summarising and synthesis. The final stage will include a directed content analysis of the data to help establish the cross-cutting themes.Ethics and disseminationThe scoping review will be disseminated through conferences and peer-reviewed publications. This scoping review is the first (mapping) phase in a proposed larger study to explore how GPs make decisions with, for and on behalf of those who lack capacity. Qualitative research with GPs, patients and their families will follow, before all the results are synthesised using an ‘empirical bioethics’ methodology.
Objective To identify the source (press releases or news) of distortions, exaggerations, or changes to the main conclusions drawn from research that could potentially influence a reader’s health ...related behaviour. Design Retrospective quantitative content analysis. Setting Journal articles, press releases, and related news, with accompanying simulations. Sample Press releases (n=462) on biomedical and health related science issued by 20 leading UK universities in 2011, alongside their associated peer reviewed research papers and news stories (n=668). Main outcome measures Advice to readers to change behaviour, causal statements drawn from correlational research, and inference to humans from animal research that went beyond those in the associated peer reviewed papers. Results 40% (95% confidence interval 33% to 46%) of the press releases contained exaggerated advice, 33% (26% to 40%) contained exaggerated causal claims, and 36% (28% to 46%) contained exaggerated inference to humans from animal research. When press releases contained such exaggeration, 58% (95% confidence interval 48% to 68%), 81% (70% to 93%), and 86% (77% to 95%) of news stories, respectively, contained similar exaggeration, compared with exaggeration rates of 17% (10% to 24%), 18% (9% to 27%), and 10% (0% to 19%) in news when the press releases were not exaggerated. Odds ratios for each category of analysis were 6.5 (95% confidence interval 3.5 to 12), 20 (7.6 to 51), and 56 (15 to 211). At the same time, there was little evidence that exaggeration in press releases increased the uptake of news. Conclusions Exaggeration in news is strongly associated with exaggeration in press releases. Improving the accuracy of academic press releases could represent a key opportunity for reducing misleading health related news.
Most women with psychotic disorders and bipolar disorders have children but their pregnancies are at risk of adverse psychiatric and fetal outcome. The extent of modifiable risk factors - both ...clinical and socio-demographic - is unclear as most studies have used administrative data or recruited from specialist tertiary referral clinics. We therefore aimed to investigate the socio-demographic and clinical characteristics of an epidemiologically representative cohort of pregnant women with affective and non-affective severe mental illness.
Women with severe mental illness were identified from a large electronic mental health case register in south London, and a data linkage with national maternity Hospital Episode Statistics identified pregnancies in 2007-2011. Data were extracted using structured fields, text searching and natural language processing applications.
Of 456 pregnant women identified, 236 (51.7%) had schizophrenia and related disorders, 220 (48.3%) had affective psychosis or bipolar disorder. Women with schizophrenia and related disorders were younger, less likely to have a partner in pregnancy, more likely to be black, to smoke or misuse substances and had significantly more time in the two years before pregnancy in acute care (inpatient or intensive home treatment) compared with women with affective disorders. Both groups had high levels of domestic abuse in pregnancy (recorded in 18.9%), were from relatively deprived backgrounds and had impaired functioning measured by the Health of the Nation Outcome Scale. Women in the affective group were more likely to stop medication in the first trimester (39% versus 25%) whereas women with non-affective psychoses were more likely to switch medication.
A significant proportion of women, particularly those with non-affective psychoses, have modifiable risk factors requiring tailored care to optimize pregnancy outcomes. Mental health professionals need to be mindful of the possibility of pregnancy in women of childbearing age and prescribe and address modifiable risk factors accordingly.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK