Implementing screening and brief alcohol interventions in primary care : views from both sides of the consultation

Excessive drinking is a global health problem which is responsible for a wide range of both chronic and acute illness, and which costs the UK National Health Service (NHS) £1.7 billion annually. Current health policy aims to reduce alcohol-related problems by promoting early identification of risk followed by brief intervention to facilitate positive changes in drinking level or patterns of consumption. However, practical and philosophical barriers concerning screening and brief alcohol intervention have so far impeded its uptake in routine primary care. This qualitative study aimed to simultaneously explore and compare health professionals’ and patients’ views on the acceptability and feasibility of screening and brief alcohol intervention in primary care. Focus groups were held with (a) four primary care teams, (b) two general practitioner (GP) and two nurse groups and (c) six patient groups in the north-east of England. A thematic framework approach was used to analyse audio-taped data via transcripts. Both health professionals and patients reported that raising and discussing alcohol-related risk was acceptable in primary care, when combined with other lifestyle issues or linked to relevant health conditions. Targeted rather than universal screening was the most acceptable method of identifying alcohol-related risk and would fit well with existing practice. However, there was uncertainty among health professionals about the effectiveness of brief alcohol interventions and some disagreement with patients concerning who was best placed to deliver them. Health professionals felt that nurses were best placed for such work whilst patients reported that they would initially raise the subject with GPs. There was broad acceptance of brief intervention approaches but a lack of support and specific incentives for this work impeded its delivery in routine practice

Relationship between patient reported experience (PREMs) and patient reported outcomes (PROMs) in elective surgery.

OBJECTIVE: Our aim was to see if the reporting of better experiences by elective surgical patients was associated with better outcomes (effectiveness and safety). The objectives were to: describe the distribution of experience scores and any association with patients' characteristics; determine the relationship of experience with effectiveness and with safety; and explore the influence of patient characteristics, year and provider on the relationship between experience and effectiveness. METHODS: Patients undergoing one of three procedures from 2010 to 2012 in England who completed a patient reported outcome measure (PROM) questionnaire before and after surgery and a patient reported experience measure (PREM) questionnaire. Data on 4089 hip replacement patients, 4501 knee replacements and 1793 groin hernia repairs. Regression analysis was used to examine associations between disease-specific and generic PROMs and PREMs. RESULTS: There was a weak positive association between experience and effectiveness for all three procedures (correlation coefficient with disease-specific PROMs for hip and knee replacements 0.2 and with EQ-5D 0.1 for all three procedures). The aspect of experience most strongly associated with a better outcome was the level of communication with and trust in their doctor. A higher experience score of 1 SD (about 1.5 on a 10-point scale) was associated with about 30% less likelihood of the patient reporting a complication. There was no difference between the eight dimensions of experience. All the relationships observed were consistent over time, between different types of patients (age, sex, socioeconomic status) and between providers. CONCLUSIONS: Patients distinguish between the three domains of quality when reporting their experience and outcome. If the weak positive associations between domains were shown to be causal, there would be implications for maximising performance measures for providers

Do patient-reported outcomes offer a more sensitive method for comparing the outcomes of consultants than mortality? A multilevel analysis of routine data.

BACKGROUND: Patient-reported outcome measures (PROM) might be better for comparing consultant surgeons' outcomes than mortality. OBJECTIVES: To describe variation in outcomes between consultants, compare the number of outlying consultants according to different measures, explore the effect that the hospital in which a consultant works has on their outcomes and determine the scope for improving outcomes by reducing variation between consultants. METHOD: Consultants performing hip replacement (n=948), knee replacement (1130) and hernia repair (974) in National Health Service hospitals in England in 2009-2012; disease-specific and generic PROMs and complications; fixed-effects and multilevel models to assess consultant outcomes, were all compared. Influence of patient factors and hospital factors was assessed. RESULTS: Fixed-effects models showed that most consultants are 'as or better than expected'. However, unlike with mortality, some consultants are more than three SDs 'worse than expected' according to disease-specific PROMs (2.4% for hip and 1.2% for knee replacement), generic PROMs (1.2% and 1.0%) and incidence of complications (1.8% and 0.8%). The proportion of consultants worse than expected is less with random-effects models. Controlling for hospital factors reduced the proportion further. After controlling for known patient characteristics, consultants and hospitals contribute little towards variation in patient outcomes. CONCLUSIONS: PROMs offer a more appropriate and sensitive method for comparing consultants' outcomes. The influence of hospitals must be considered to ensure comparisons are meaningful. Improvements will be achieved by shifting the distribution of consultants rather than by reducing variation between them

Factors associated with non-response in routine use of patient reported outcome measures after elective surgery in England

BACKGROUND: Patient-reported outcome measures are increasingly being used to compare providers. We studied whether non-response rates to post-operative questionnaires are associated with patients' characteristics and organisational features of providers. METHODS: 131,447 patients who underwent a hip or knee replacement, hernia repair or varicose vein surgery in 2009-10 in England. Multivariable logistic regression to calculate adjusted odds ratios of non-response for characteristics of the patients and organisational characteristics of providers. Multiple imputation was used for missing patient characteristics. Providers were included as random effects. RESULTS: Response rates to the post-operative questionnaire were 85.1% for hip replacement (n = 37 961), 85.3% for knee replacements (n = 44 422), 72.9% for hernia repair (n = 34 964), and 64.8% for varicose vein surgery (n = 14 100). Across the four procedures, there were higher levels of non-response in men (odds ratios 1.03 [95% CI 0.95-1.11] - 1.35 [1.25-1.46]), younger patients (those under 55 years 3.01 [2.72-3.32] - 6.05 [5.49-6.67]), non-white patients (1.24 [1.11-1.38] - 2.08 [1.89-2.31]), patients in the most deprived quintile of socio-economic status (1.47 [1.34-1,62] - 1.86 [1.71-2.03]), those who lived alone (1.11 [0.99-1.23] - 1.27 [1.18-1.36]) and those who had been assisted when completing their pre-operative questionnaire (1.26 [1.10-1.46] -1.67 [1.56-1.79]). Non-response rates were also higher in patients who had poorer pre-operative health (three or more comorbidities: 1.14 [0.96-1.35] - 1.45 [1.30-1.63]). Providers' patient recruitment rates before surgery and the timing of pre-operative questionnaire administration did not affect the rates of response to post-operative questionnaires. CONCLUSION: If non-response can be shown to be associated with outcome, then rates of non-response to post-operative questionnaires would need to be taken into account when these measures are being used to compare the performance of providers or to evaluate surgical procedures

Farm management and sustainability indicators: What and how to include in farm scale models?

Conference presentation PD

Farm management and sustainability indicators: What and how to include in farm scale models?

Conference presentation PD

Estimating recruitment rates for routine use of patient reported outcome measures and the impact on provider comparisons.

BACKGROUND: The routine use of patient reported outcome measures (PROMs) aims to compare providers as regards the clinical need of their patients and their outcome. Simple methods of estimating recruitment rates based on aggregated data may be inaccurate. Our objectives were to: use patient-level linked data to evaluate these estimates; produce revised estimates of national and providers' recruitment rates; and explore whether or not recruitment bias exists. METHODS: Case study based on patients who were eligible to participate in the English National PROMs Programme for elective surgery (hip and knee replacement, groin hernia repair, varicose vein surgery) using data from pre-operative questionnaires and Hospital Episode Statistics. Data were linked to determine: the eligibility for including operations; eligibility of date of surgery; duplicate questionnaires; cancelled operations; correct assignment to provider. Influence of patient characteristics on recruitment rates were investigated. RESULTS: National recruitment rates based on aggregated data over-estimated the true rate because of the inclusion of ineligible operations (from 1.9% - 7.0% depending on operation) and operations being cancelled (1.9% - 3.6%). Estimates of national recruitment rates using inclusion criteria based on patient-level linked data were lower than those based on simple methods (eg hip replacement was 73% rather than 78%).Estimates of provider's recruitment rates based on aggregated data were also adversely affected by attributing patients to the wrong provider (2.4% - 4.9%). Use of linked data eliminated all estimates of over 100% recruitment, though providers still showed a wide range of rates.While the principal determinant of recruitment rates was the provider, some patients' socio-demographic characteristics had an influence on non-recruitment: non-white (Adjusted Odds Ratio 1.25-1.67, depending on operation); most deprived socio-economic group (OR 1.11-1.23); aged over 75 years (OR 1.28-1.79). However, there was no statistically significant association between providers' recruitment rates and patients' pre-operative clinical need. CONCLUSIONS: Accurate recruitment rates require the use of linked data to establish consistent inclusion criteria for numerators and denominators. Non-recruitment will bias comparisons of providers' pre-operative case-mix and may bias comparisons of outcomes if unmeasured confounders are not evenly distributed between providers. It is important, therefore, to strive for high recruitment rates

Avoidability of hospital deaths and association with hospital-wide mortality ratios: retrospective case record review and regression analysis.

OBJECTIVES: To determine the proportion of avoidable deaths (due to acts of omission and commission) in acute hospital trusts in England and to determine the association with the trust's hospital-wide standardised mortality ratio assessed using the two commonly used methods--the hospital standardised mortality ratio (HSMR) and the summary hospital level mortality indicator (SHMI). DESIGN: Retrospective case record review of deaths. SETTING: 34 English acute hospital trusts (10 in 2009 and 24 in 2012/13) randomly selected from across the spectrum of HSMR. MAIN OUTCOME MEASURES: Avoidable death, defined as those with at least a 50% probability of avoidability in view of trained medical reviewers. Association of avoidable death proportion with the HSMR and the SHMI assessed using regression coefficients, to estimate the increase in avoidable death proportion for a one standard deviation increase in standardised mortality ratio. PARTICIPANTS: 100 randomly selected hospital deaths from each trust. RESULTS: The proportion of avoidable deaths was 3.6% (95% confidence interval 3.0% to 4.3%). It was lower in 2012/13 (3.0%, 2.4% to 3.7%) than in 2009 (5.2%, 3.8% to 6.6%). This difference is subject to several factors, including reviewers' greater awareness in 2012/13 of orders not to resuscitate, patients being perceived as sicker on admission, minor differences in review form questions, and cultural changes that might have discouraged reviewers from criticising other clinicians. There was a small but statistically non-significant association between HSMR and the proportion of avoidable deaths (regression coefficient 0.3, 95% confidence interval -0.2 to 0.7). The regression coefficient was similar for both time periods (0.1 and 0.3). This implies that a difference in HSMR of between 105 and 115 would be associated with an increase of only 0.3% (95% confidence interval -0.2% to 0.7%) in the proportion of avoidable deaths. A similar weak non-significant association was observed for SHMI (regression coefficient 0.3, 95% confidence interval -0.3 to 1.0). CONCLUSIONS: The small proportion of deaths judged to be avoidable means that any metric based on mortality is unlikely to reflect the quality of a hospital. The lack of association between the proportion of avoidable deaths and hospital-wide SMRs partly reflects methodological shortcomings in both metrics. Instead, reviews of individual deaths should focus on identifying ways of improving the quality of care, whereas the use of standardised mortality ratios should be restricted to assessing the quality of care for conditions with high case fatality for which good quality clinical data exist

NsrR from Streptomyces coelicolor is a nitric oxide-sensing [4Fe-4S] cluster protein with a specialized regulatory function

The Rrf2 family transcription factor NsrR controls expression of genes in a wide range of bacteria in response to nitric oxide (NO). The precise form of the NO-sensing module of NsrR is the subject of controversy because NsrR proteins containing either [2Fe-2S] or [4Fe-4S] clusters have been observed previously. Optical, Mössbauer, resonance Raman spectroscopies and native mass spectrometry demonstrate that Streptomyces coelicolor NsrR (ScNsrR), previously reported to contain a [2Fe-2S] cluster, can be isolated containing a [4Fe-4S] cluster. ChIP-seq experiments indicated that the ScNsrR regulon is small, consisting of only hmpA1, hmpA2, and nsrR itself. The hmpA genes encode NO-detoxifying flavohemoglobins, indicating that ScNsrR has a specialized regulatory function focused on NO detoxification and is not a global regulator like some NsrR orthologues. EMSAs and DNase I footprinting showed that the [4Fe-4S] form of ScNsrR binds specifically and tightly to an 11-bp inverted repeat sequence in the promoter regions of the identified target genes and that DNA binding is abolished following reaction with NO. Resonance Raman data were consistent with cluster coordination by three Cys residues and one oxygen-containing residue, and analysis of ScNsrR variants suggested that highly conserved Glu-85 may be the fourth ligand. Finally, we demonstrate that some low molecular weight thiols, but importantly not physiologically relevant thiols, such as cysteine and an analogue of mycothiol, bind weakly to the [4Fe-4S] cluster, and exposure of this bound form to O2 results in cluster conversion to the [2Fe-2S] form, which does not bind to DNA. These data help to account for the observation of [2Fe-2S] forms of NsrR

The Effectiveness of the KiVa Bullying Prevention Program in Wales, UK: Results from a Pragmatic Cluster Randomized Controlled Trial

AbstractThe study evaluated the implementation fidelity and effectiveness of KiVa, an evidence-based program that aims to prevent and address bullying in schools, with a particular emphasis on changing the role of bystanders. The study was a two-arm waitlist control cluster randomized controlled trial in which 22 primary schools (clusters) (N = 3214 students aged 7–11) were allocated using a 1:1 ratio to intervention (KiVa; 11 clusters, n = 1588 students) and a waitlist control (usual school provision; 11 clusters, n = 1892 children)). The trial statistician (but not schools or researchers) remained blind to allocation status. The outcomes were as follows: student-reported victimization (primary outcome) and bullying perpetration; teacher-reported child behavior and emotional well-being; and school absenteeism (administrative records). Implementation fidelity was measured using teacher-completed online records (for class lessons) and independent researcher observations (for school-wide elements). Outcome analyses involved 11 intervention schools (n = 1578 children) and 10 control schools (n = 1636 children). There was no statistically significant effect on the primary outcome of child-reported victimization (adjusted intervention/control OR 0.76; 95% CI 0.55 to 1.06; p = 0.11) or on the secondary outcomes. The impact on victimization was not moderated by child gender, age, or victimization status at baseline. Lesson adherence was good but exposure (lesson length) was lower than the recommended amount, and there was considerable variability in the implementation of whole school elements. The trial found insufficient evidence to conclude that KiVa had an effect on the primary outcome. A larger trial of KiVa in the UK is warranted, however, with attention to issues regarding implementation fidelity. Trial registration: Current Controlled Trials ISRCTN23999021 Date 10-6-13</jats:p