Great expectations? GPs' estimations of time required to deliver BMJ's '10 minute consultations'.

OBJECTIVES: To estimate the time required to undertake consultations according to BMJ's 10-minute consultation articles.To quantify the tasks recommended in 10-minute consultation articles.To determine if, and to what extent, the time required and the number of tasks recommended have increased over the past 22 years. DESIGN: Analysis of estimations made by four general practitioners (GPs) of the time required to undertake tasks recommended in BMJ's 10-minute consultation articles. SETTING: Primary care in the UK. PARTICIPANTS: Four doctors with a combined total of 79 years of experience in the UK National Health Service following qualification as GPs. MAIN OUTCOME MEASURES: Median minimum estimated consultation length (the estimated time required to complete tasks recommended for all patients) and median maximum estimated consultation length (the estimated time required to complete tasks recommended for all patients and the additional tasks recommended in specific circumstances). Minimum, maximum and median consultation lengths reported for each year and for each 5-year period. RESULTS: Data were extracted for 44 articles. The median minimum and median maximum estimated consultation durations were 15.7 minutes (IQR 12.6-20.9) and 28.4 minutes (IQR 22.4-33.8), respectively. A median of 17 tasks were included in each article. There was no change in durations required over the 22 years examined. CONCLUSIONS: The approximate times estimated by GPs to deliver care according to 10-minute consultations exceed the time available in routine appointments. '10 minute consultations' is a misleading title that sets inappropriate expectations for what GPs can realistically deliver in their routine consultations. While maintaining aspirations for high-quality care is appropriate, practice recommendations need to take greater account of the limited time doctors have to deliver routine care.

Understanding the patient's experience of coeliac disease diagnosis: a qualitative interview study.

BACKGROUND: Coeliac disease (CD) presents with non-specific symptoms, and delays to diagnosis are common. The traditional diagnostic pathway involves serological testing followed by endoscopic biopsy; however, the evidence is increasing about the effectiveness of a diagnosis without the need for a biopsy. AIM: To understand the patient's experience of being diagnosed with CD. DESIGN AND SETTING: A qualitative study was conducted, which involved semi-structured interviews with adults diagnosed with CD living in the UK. METHOD: Participants (n = 20) were purposefully sampled from 200 adults who had completed a diagnostic confidence survey. Interviews were conducted via video-conferencing software (Zoom), recorded, and transcribed verbatim. Data were analysed using reflexive thematic analysis. RESULTS: Interviewees faced pre-diagnostic uncertainty, presenting with non-specific symptoms that many experienced for several years and may have normalised. GPs often attributed their symptoms to alternative diagnoses, commonly, irritable bowel syndrome or anaemia. Investigations caused further uncertainty, with half of the interviewees unaware that their initial serology included a test for CD, and reporting long waits for endoscopy and challenges managing their diet around the procedure. Their uncertainty reduced once they received their biopsy results. Endoscopy was presented as the 'gold standard' for diagnosis and most interviewees believed that the procedure was necessary for diagnostic confidence and conviction in a lifelong gluten-free diet. CONCLUSION: Patients experience uncertainty on the pathway to a diagnosis of CD. GPs could improve their experiences by being mindful of the possibility of CD and sharing information about serological testing. Policy and guidance should address the time to endoscopy and diet during diagnosis. If diagnosis without biopsy is adopted, then consideration should be given to clinical pathway implementation and communication approaches to reduce patient uncertainty.

Seeing New Opportunities to Help Smokers Quit: A UK National Survey of Optometrist-Delivered Smoking Cessation Behavioral Support Interventions.

BACKGROUND: Smoking is a risk factor for various eye conditions. Brief smoking cessation interventions have demonstrated effectiveness when delivered by a range of health care professionals. Optometrists are well placed in the community to advise otherwise healthy smokers to quit, yet remain relatively neglected in smoking cessation research and policy. In a national survey, this study investigated self-reported practices of UK optometrists for delivering brief tobacco smoking cessation interventions to patients. METHODS: A randomly selected sample of 1200 optometrists out of the 9000 optometrists registered on the UK College of Optometrists database were invited to complete a 40-item, web-based survey assessing: training related to smoking cessation, current practice (ie, the proportion of patients to which components of very brief advice [Ask, Advise, Assist] and other evidence-based smoking cessation behavior change techniques were delivered), and barriers/enablers to intervention delivery. RESULTS: In total, 408 (34%) responses were received. Most (83%) optometrists received no training in practical skills for delivering smoking cessation support. A third (34%) routinely assessed smoking status. Fewer self-reported advising smokers to quit (22%), offering assistance (via referral to dedicated services) (3%), or advice on smoking cessation medications (2%). Perceived barriers included insufficient knowledge/training (81%) and time (65%). Optometrists were more likely to assess and advise on smoking cessation if they practiced in Scotland, χ2(2) = 32.95, p < .001; an independent optometry practice, χ2(1) = 4.27, p = .39; or had received smoking cessation training, χ2(1) = 13.1, p < .001. CONCLUSIONS: Substantial gaps exist in UK optometrists' current smoking cessation training and practice. Evidence-based training resources are needed to support the implementation of smoking cessation interventions into routine optometry practice. IMPLICATIONS: Optometrists are well placed in the community to deliver brief advice interventions to a large population of smokers. This survey provides a comprehensive description of current UK optometry practice related to the provision of evidence-based brief tobacco smoking cessation interventions to patients. Although optometrists perceive advising on smoking cessation as part of their role, numerous substantial gaps in current practice and training remain, which need to be addressed through targeted interventions to increase implementation.

Considerations on accuracy, pattern and possible underlying factors of brain microbleed progression in older adults with absence or mild presence of vascular pathology.

Objective To analyse brain microbleed (BMB) progression, its possible underlying factors, and the influence of inter-observer differences, in older individuals with none or mild vascular pathology. Methods This study analysed magnetic resonance images, cognitive, demographic and laboratory data from all individuals from the Alzheimer's Disease (AD) Neuroimaging Initiative database who had the required sequences for identifying BMBs over three consecutive years at the time the database was accessed (January 2016). BMBs were assessed independently by two observers with similar levels of experience. Results A total of 291 patients were included in the study. The number of individuals with BMBs and the number of BMBs per individual slightly and nonsignificantly increased across three consecutive years (Y1: 55/291 [19%]; Y2: 61/291 [21%]; Y3: 66/291 [23%]) with 1-2 BMBs and (Y1: 11/291 [4%]; Y2: 12/291 [4%]; Y3: 14/291 [5%]) with ≥ 3 BMBs. Both observers identified a similar pattern of BMB prevalence and progression in each cognitive group (normal < early/late mild cognitive impairment (MCI) > AD patients) despite inter-observer differences (1.5 BMBs, 95% confidence interval -3.7, 6.2], κ=0.543), which were mainly in the cortex. Serum cholesterol was the main predictor of change in BMB count between time-points but did not predict overall progression. Conclusions Inter-observer differences are always present and it is difficult to ascertain their influence in the analysis of BMB progression, which was observed in cognitively normal and MCI individuals, but not in AD patients. This should be confirmed in further studies.

A survey of UK optometry trainees' smoking cessation training.

BACKGROUND: Smoking is a risk factor for a number of eye conditions, including age-related macular degeneration, cataracts and thyroid eye disease. Smoking cessation interventions have been shown to be highly cost-effective when delivered by a range of healthcare professionals. Optometrists are well placed to deliver smoking cessation advice to a wide population of otherwise healthy smokers. Yet optometrists remain a relatively neglected healthcare professional group in smoking cessation research and policy. Surveys of UK medical/nursing schools and of optometrists' training internationally demonstrate significant deficits in current curricular coverage regarding smoking cessation. This study aimed to identify the extent of smoking cessation training in UK optometry trainees' undergraduate and pre-registration training. METHODS: All undergraduate optometry schools in the UK (n = 9) were invited to participate in a web-based survey of their curricular coverage and assessment related to smoking cessation, and of perceived barriers to delivering smoking cessation training. A content analysis of the College of Optometrists Scheme for Registration Trainee Handbook 2014 was conducted to identify competence indicators related to smoking cessation. RESULTS: Nine undergraduate optometry schools (100%) responded to the survey. The majority reported dedicating limited hours (0-3) to teaching smoking cessation, and predominantly focused on teaching the harmful effects of smoking (89%). Only one school provides practical skills training for delivering evidence-based smoking cessation interventions, including very brief advice. The majority of schools (78%) reported that they did not formally examine students on their knowledge or skills for supporting smoking cessation, and rated confidence in their graduates' abilities to deliver smoking cessation interventions as 'poor' (78%). Lack of knowledge amongst staff was identified as the key barrier to teaching about smoking cessation support. The pre-registration competency framework does not include any competence indicators related to providing support for quitting smoking. CONCLUSIONS: There are substantial gaps in the current curricula of UK optometry training, particularly regarding practical skills for supporting smoking cessation. Increased curricular coverage of these issues is essential to ensure trainee optometrists are adequately trained and competent in supporting patients to quit smoking.

Intelligent Instrumentation.

Feasibility studies on the application of multivariate statistical and mathematical algorithms to chemical problems have proliferated over the past 15 years. In contrast to this, most commercially available computerized analytical instruments have used in the data systems only those algorithms which acquire, display, or massage raw data. These techniques would fall into the "preprocessing stage" of sophisticated data analysis studies. An exception to this is, of course, are the efforts of instrumental manufacturers in the area of spectral library search. Recent firsthand experiences with several groups designing instruments and analytical procedures for which rudimentary statistical techniques were inadequate have focused efforts on the question of multivariate data systems for instrumentation. That a sophisticated and versatile mathematical data system must also be intelligent (not just a number cruncher) is an overriding consideration in our current development. For example, consider a system set up to perform pattern recognition. Either all users need to understand the interaction of data structures with algorithm type and assumptions or the data system must possess such an understanding. It would seem, in such cases, that the algorithm driver should include an expert systems specifically geared to mimic a chemometrician as well as one to aid interpretation in terms of the chemistry of a result. Three areas of modem analysts will be discussed: 1) developments in the area of preprocessing and pattern recognition systems for pyrolysis gas chromatography and pyrolysis mass spectrometry; 2) methods projected for the cross interpretation of several analysis techniques such as several spectroscopies on single samples; and 3) the advantages of having well defined chemical problems for expert systems/pattern recognition automation.