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We lead multidisciplinary applied research and training to rethink the way health care is delivered in general practice and across the community.
Integrating System Dynamics and Action Research: Towards a Consideration of Normative Complexity Comment on “Insights Gained From a Re-analysis of Five Improvement Cases in Healthcare Integrating System Dynamics Into Action Research”
Holmström and co-authors argue for the value of integrating system dynamics into action research to deal with increasing complexity in healthcare. We argue that despite merits, the authors overlook the key aspect of normative complexity, which refers to the existence of multiple, often conflicting values that actors in healthcare systems have to pragmatically develop responses to in their daily practices. We argue that a better theoretical and empirical understanding of the multiplicity of values and how actors deal with value conflicts in daily practices can enrich discussions about complexity in healthcare. We introduce the alternative methodology of ‘value exnovation’ for action researchers to broaden the scope of system-based thinking and action research in healthcare.
Food beliefs and practices among British Bangladeshis with diabetes: implications for health education
In order successfully to promote ‘healthier’ food choices, health professionals must first understand how people classify and select the foods they eat. We explored the food beliefs and classification system of British Bangladeshis by means of qualitative interviews with 40 first-generation adult immigrants with diabetes. Methods included audiotaped, unstructured narrative interview in which participants were invited to ‘.tell the story’ of how diabetes affects them, pile sorting of food items, and participant observation of meals. We found considerable heterogeneity of individual food choices against a background of structural and economic factors (i.e. food choices were partly determined by affordability and availability), as well as cultural influences. Important themes included strong religious restrictions on particular food items (chiefly the Islamic prohibition of pork), and widely held ethnic customs based on the availability of foods in rural Bangladesh. Modification of the diet on immigration did not generally incorporate many Western’ foods but included increased quantities of ‘special menu’ Bangladeshi foods such as meat and traditional sweets. Foods were not classified or selected according to Western notions of food values (protein, carbohydrate, etc.). Rather, within religious and ethnic patterns, further food choices were determined by two interrelated and intersecting binary classification systems: ‘strong’/‘weak’ and ‘digestible’/‘indigestible’, which appear to replace the ‘hot’/‘cold’ classification prevalent elsewhere in South Ada. Different methods of cooking (especially baking and grilling) were perceived to alter the nature of the food. A desire for dietary balance, and a strong perceived link with health, was apparent. These findings have important implications for the design of health education messages. Dietary advice should reflect religious restrictions, ethnic customs and the different cultural meaning of particular foods, while also acknowledging the ability of the individual to exercise choice within those broad limits.
The remarkable invisibility of NHS 111 online
In 2017, the NHS 111 telephone service was augmented by an online service. This is an exemplar of ‘digital-first’, the push to enrol digital technologies to deliver services, and is viewed by policymakers as an important vehicle for managing demand for overburdened health services. This article reports the qualitative component of a larger multi-method study of NHS 111 online. Qualitative telephone interviews with 80 staff and stakeholders implicated in primary, urgent and emergency care service delivery explored the impact of NHS 111 online on health-care work. The analysis presented here draws on Susie Scott’s work on the ‘sociology of nothing’ and theories of the marked and unmarked, which we reached for when confronted by the remarkable invisibility of this seemingly core NHS service in the wider landscape of health care. Despite the apparently high use by patients and the public (30 million visits over 6 months in the 2020 pandemic), we were surprised to find very low awareness among our interviewees. Confusion about nomenclature, an exceedingly crowded digital field (littered with alternative technologies and ways of accessing care) and constant change in service provision provide some cogent reasons for this invisibility, and sociology helps explain our data about this digital technology.
Clinical guidelines for the management of weight during pregnancy: a qualitative evidence synthesis of practice recommendations across NHS Trusts in England
Background: Women who enter pregnancy with a Body Mass Index above 30 kg/m2 face an increased risk of complications during pregnancy and birth. National and local practice recommendations in the UK exist to guide healthcare professionals in supporting women to manage their weight. Despite this, women report inconsistent and confusing advice and healthcare professionals report a lack of confidence and skill in providing evidence-based guidance. A qualitative evidence synthesis was conducted to examine how local clinical guidelines interpret national recommendations to deliver weight management care to people who are pregnant or in the postnatal period. Methods: A qualitative evidence synthesis of local NHS clinical practice guidelines in England was conducted. National Institute for Health and Care Excellence and Royal College of Obstetricians and Gynaecologists guidelines for weight management during pregnancy constructed the framework used for thematic synthesis. Data was interpreted within the embedded discourse of risk and the synthesis was informed by the Birth Territory Theory of Fahy and Parrat. Results: A representative sample of twenty-eight NHS Trusts provided guidelines that included weight management care recommendations. Local recommendations were largely reflective of national guidance. Consistent recommendations included obtaining a weight at booking and informing women of the risks associated with being obese during pregnancy. There was variation in the adoption of routine weighing practices and referral pathways were ambiguous. Three interpretive themes were constructed, exposing a disconnect between the risk dominated discourse evident in the local guidelines and the individualised, partnership approach emphasised in national level maternity policy. Conclusions: Local NHS weight management guidelines are rooted in a medical model rather than the model advocated in national maternity policy that promotes a partnership approach to care. This synthesis exposes the challenges faced by healthcare professionals and the experiences of pregnant women who are in receipt of weight management care. Future research should target the tools utilised by maternity care providers to achieve weight management care that harnesses a partnership approach empowering pregnant and postnatal people in their journey through motherhood.
Clinician resistance to broaching the topic of weight in primary care: Digging deeper into weight management using strong structuration theory
Clinical trials have shown that providing advice and support for people with excess weight can lead to meaningful weight loss. Despite this evidence and guidelines endorsing this approach, provision in real-world clinical settings remains low. We used Strong Structuration Theory (SST) to understand why people are often not offered weight management advice in primary care in England. Data from policy, clinical practice and focus groups were analysed using SST to consider how the interplay between weight stigma and structures of professional responsibilities influenced clinicians to raise (or not) the issue of excess weight with patients. We found that general practitioners (GPs) often accounted for their actions by referring to obesity as a health problem, consistent with policy documents and clinical guidelines. However, they were also aware of weight stigma as a social process that can be internalised by their patients. GPs identified addressing obesity as a priority in their work, but described wanting to care for their patients by avoiding unnecessary suffering, which they were concerned could be caused by talking about weight. We observed tensions between knowledge of clinical guidelines and understanding of the lived experience of their patients. We interpreted that the practice of ‘caring by not offering care’ produced the outcome of an absence of weight management advice in consultations. There is a risk that this outcome reinforces the external structure of weight stigma as a delicate topic to be avoided, while at the same time denying patients the offer of support to manage their weight.
Remote versus face-to-face ambulatory blood pressure monitoring: de-identified blood pressure data from 65 participants of the Screening for Hypertension in the Inpatient Environment (SHINE) study
The two files within this dataset contain ambulatory blood pressure data for 65 participants collected between 2020 and 2021. Ten participants had their ambulatory blood pressure monitors fitted and decommissioned via face-to-face clinic appointments (prior to the UK COVID-19 epidemic) and fifty-five participants had their ambulatory blood pressure monitors distributed to their chosen community location by courier and fitted via remote video appointments and decommissioned via telephone call (during the UK COVID-19 epidemic). The files were created in Excel and data analysis was performed in Excel for the manuscript pertaining to this data. The files have been converted to CSV for sharing to ensure accessibility and ease of use for others.
Studying informal care during the pandemic: mental health, gender and job status
Unexpected negative health shocks such as COVID-19 put pressure on households to provide more care to relatives and friends. This study uses data from the UK Household Longitudinal Study to investigate the impact of informal caregiving on mental health during the COVID-19 pandemic. Using a difference-in-differences analysis, we find that individuals who started providing care after the pandemic began reported more mental health issues than those who never provided care. Additionally, the gender gap in mental health widened during the pandemic, with women more likely to report mental health issues. We also find that those who began providing care during the pandemic reduced their work hours compared to those who never provided care. Our results suggest that the COVID-19 pandemic has had a negative impact on the mental health of informal caregivers, particularly for women.
Adapting domestic abuse training to remote delivery during the COVID-19 pandemic: a qualitative study of views from general practice and support services.
BACKGROUND: Identifying and responding to patients affected by domestic violence and abuse (DVA) is vital in primary care. There may have been a rise in the reporting of DVA cases during the COVID-19 pandemic and associated lockdown measures. Concurrently general practice adopted remote working that extended to training and education. IRIS (Identification and Referral to Improve Safety) is an example of an evidence-based UK healthcare training support and referral programme, focusing on DVA. IRIS transitioned to remote delivery during the pandemic. AIM: To understand the adaptations and impact of remote DVA training in IRIS-trained general practices by exploring perspectives of those delivering and receiving training. DESIGN AND SETTING: Qualitative interviews and observation of remote training of general practice teams in England were undertaken. METHOD: Semi-structured interviews were conducted with 21 participants (three practice managers, three reception and administrative staff, eight general practice clinicians, and seven specialist DVA staff), alongside observation of eight remote training sessions. Analysis was conducted using a framework approach. RESULTS: Remote DVA training in UK general practice widened access to learners. However, it may have reduced learner engagement compared with face-to-face training and may challenge safeguarding of remote learners who are domestic abuse survivors. DVA training is integral to the partnership between general practice and specialist DVA services, and reduced engagement risks weakening this partnership. CONCLUSION: The authors recommend a hybrid DVA training model for general practice, including remote information delivery alongside a structured face-to-face element. This has broader relevance for other specialist services providing training and education in primary care.
Electronic cigarettes for smoking cessation: April 2021
We included 56 completed studies, representing 12,804 participants, of which 29 were RCTs. Six of the 56 included studies were new to this review update. Of the included studies, we rated five (all contributing to our main comparisons) at low risk of bias overall, 42 at high risk overall (including the 25 non-randomized studies), and the remainder at unclear risk. There was moderate-certainty evidence, limited by imprecision, that quit rates were higher in people randomized to nicotine EC than in those randomized to nicotine replacement therapy (NRT) (risk ratio (RR) 1.69, 95% confidence interval (CI) 1.25 to 2.27; I2 = 0%; 3 studies, 1498 participants). In absolute terms, this might translate to an additional four successful quitters per 100 (95% CI 2 to 8). There was low-certainty evidence (limited by very serious imprecision) that the rate of occurrence of AEs was similar) (RR 0.98, 95% CI 0.80 to 1.19; I2 = 0%; 2 studies, 485 participants). SAEs occurred rarely, with no evidence that their frequency differed between nicotine EC and NRT, but very serious imprecision led to low certainty in this finding (RR 1.37, 95% CI 0.77 to 2.41: I2 = n/a; 2 studies, 727 participants). There was moderate-certainty evidence, again limited by imprecision, that quit rates were higher in people randomized to nicotine EC than to non-nicotine EC (RR 1.70, 95% CI 1.03 to 2.81; I2 = 0%; 4 studies, 1057 participants). In absolute terms, this might again lead to an additional four successful quitters per 100 (95% CI 0 to 11). These trials mainly used older EC with relatively low nicotine delivery. There was moderate-certainty evidence of no difference in the rate of AEs between these groups (RR 1.01, 95% CI 0.91 to 1.11; I2 = 0%; 3 studies, 601 participants). There was insufficient evidence to determine whether rates of SAEs differed between groups, due to very serious imprecision (RR 0.60, 95% CI 0.15 to 2.44; I2 = n/a; 4 studies, 494 participants). Compared to behavioral support only/no support, quit rates were higher for participants randomized to nicotine EC (RR 2.70, 95% CI 1.39 to 5.26; I2 = 0%; 5 studies, 2561 participants). In absolute terms this represents an increase of seven per 100 (95% CI 2 to 17). However, this finding was of very low certainty, due to issues with imprecision and risk of bias. There was no evidence that the rate of SAEs differed, but some evidence that non-serious AEs were more common in people randomized to nicotine EC (AEs: RR 1.22, 95% CI 1.12 to 1.32; I2 = 41%; 4 studies, 765 participants; SAEs: RR 1.17, 95% CI 0.33 to 4.09; I2 = 5%; 6 studies, 1011 participants). Data from non-randomized studies were consistent with RCT data. The most commonly reported AEs were throat/mouth irritation, headache, cough, and nausea, which tended to dissipate with continued use. Very few studies reported data on other outcomes or comparisons and hence evidence for these is limited, with confidence intervals often encompassing clinically significant harm and benefit.
Oxford Food and Activity Behaviours Study
This data comes from a prospective, web-based cohort study of overweight UK adults (BMI≥25kg/m2) trying to lose weight through behaviour change. The data was collected from Jan-Nov 2015. The file 'variable key' provides explanations of all of the variables included in the data set. 'Demographics' and 'screening' contain data collected at baseline, 'data' contains weight and answers to the OxFAB questionnaire - note that in 'demographics' and 'screening' there is one row per participant, but that 'data' contains multiple rows per participant - one for every web log in. Data from a prospective, web-based cohort study of overweight UK adults (BMI≥25kg/m2) trying to lose weight through behaviour change. Strategy use was assessed using the OxFAB questionnaire.
Pain with neuropathic characteristics after surgically treated lower limb fractures: Cost analysis and pain medication use
Introduction Neuropathic pain is prevalent among people after lower limb fracture surgery and is associated with lower health-related quality of life and greater disability. This study estimates the financial cost and pain medication use associated with neuropathic pain in this group. Methods A secondary analysis using pain data collected over six postoperative months from participants randomised in the Wound Healing in Surgery for Trauma (WHiST) trial. Pain states were classified as pain-free, chronic non-neuropathic pain (NNP) or chronic neuropathic pain (NP). Cost associated with each pain state from a UK National Health Service (NHS) and personal social services (PSS) perspective were estimated by multivariate models based on multiple imputed data. Pain medication usage was analysed by pain state. Results A total of 934 participants who provided either 3- or 6-months pain data were included. Compared to participants with NP, those with NNP (adjusted mean difference -£730, p = 0.38, 95% CI −2368 to 908) or were pain-free (adjusted mean difference -£716, p = 0.53, 95% CI −2929 to 1497) had lower costs from the NHS and PSS perspective in the first three postoperative months. Over the first three postoperative months, almost a third of participants with NP were prescribed opioids and 8% were prescribed NP medications. Similar trends were observed by 6 months postoperatively. Conclusion This study found healthcare costs were higher amongst those with chronic NP compared to those who were pain-free or had chronic NNP. Opioids, rather than neuropathic pain medications, were commonly prescribed for NP over the first six postoperative months, contrary to clinical guidelines.
Electronic cigarettes for smoking cessation: September 2021
We included 61 completed studies, representing 16,759 participants, of which 34 were RCTs. Five of the 61 included studies were new to this review update. Of the included studies, we rated seven (all contributing to our main comparisons) at low risk of bias overall, 42 at high risk overall (including all non-randomized studies), and the remainder at unclear risk. There was moderate-certainty evidence, limited by imprecision, that quit rates were higher in people randomized to nicotine EC than in those randomized to nicotine replacement therapy(NRT) (risk ratio (RR) 1.53, 95% confidence interval (CI) 1.21 to 1.93; I = 0%; 4 studies, 1924participants). In absolute terms, this might translate to an additional three quitters per 100 (95%CI 1 to 6). There was low-certainty evidence (limited by very serious imprecision) that the rate of occurrence of AEs was similar (RR 0.98, 95% CI 0.80 to 1.19; I = 0%; 2 studies, 485participants). SAEs were rare, but there was insufficient evidence to determine whether rates differed between groups due to very serious imprecision (RR 1.30, 95% CI 0.89 to 1.90: I = 0;4 studies, 1424 participants). There was moderate-certainty evidence, again limited by imprecision, that quit rates were higher in people randomized to nicotine EC than to non-nicotine EC (RR 1.94, 95% CI 1.21 to3.13; I = 0%; 5 studies, 1447 participants). In absolute terms, this might lead to an additional seven quitters per 100 (95% CI 2 to 16). There was moderate-certainty evidence of no difference in the rate of AEs between these groups (RR 1.01, 95% CI 0.91 to 1.11; I = 0%; 3studies, 601 participants). There was insufficient evidence to determine whether rates of SAEs differed between groups, due to very serious imprecision (RR 1.06, 95% CI 0.47 to 2.38; I = 0;5 studies, 792 participants). Compared to behavioural support only/no support, quit rates were higher for participants randomized to nicotine EC (RR 2.61, 95% CI 1.44 to 4.74; I = 0%; 6 studies, 2886participants). In absolute terms this represents an additional six quitters per 100 (95% CI 2 to15). However, this finding was of very low certainty, due to issues with imprecision and risk ofbias. There was some evidence that non-serious AEs were more common in peoplerandomized to nicotine EC (RR 1.22, 95% CI 1.12 to 1.32; I = 41%, low certainty; 4 studies,765 participants), and again, insufficient evidence to determine whether rates of SAEs differed between groups (RR 1.51, 95% CI 0.70 to 3.24; I = 0%; 7 studies, 1303 participants). Data from non-randomized studies were consistent with RCT data. The most commonly reported AEs were throat/mouth irritation, headache, cough, and nausea, which tended to dissipate with continued use. Very few studies reported data on other outcomes or comparisons, hence evidence for these is limited, with CIs often encompassing clinically significant harm and benefit.
Strategies to improve smoking cessation rates in primary care: supplementary tables
Supplementary tables for Cochrane systematic review: Strategies to improve smoking cessation rates in primary care
microPRIME
microPRIME is a population microsimulation model used to predict myocardial infarction incidence, event and prevalence rates in England. Estimates are based on trends in underlying risk factors (body mass index, blood pressure, cholesterol, smoking and diabetes) and in treatment. All myocardial infarction rates emerge from the model (i.e. are endogenous). Full details for the model are provided in the document 'microPRIME description.docx' within this depository. The data included here are data required to operate the microPRIME model that are not openly available in other repositories. The R scripts required to run the model are also provided. Note that none of the data were collected primarily for this project. The microPRIME model runs entirely on secondary data that have originally been published elsewhere.
Impact of the announcement and implementation of the UK Soft Drinks Industry Levy on sugar content, price, product size and number of available soft drinks in the UK, 2015-19: controlled interrupted time series analysis
These datasets are anonymised versions of the analysis datasets for an evaluation of the impact of the UK Soft Drink Industry Levy on sugar levels, price, product size and product diversity. This study was funded by the NIHR (award numbers 16/49/01 and 16/130/01) and is supported by the NIHR Biomedical Research Centre at Oxford. Background: Dietary sugar, especially in liquid form, increases risk of dental caries, adiposity and type 2 diabetes. The UK Soft Drinks Industry Levy (SDIL) was announced in March 2016 and implemented in April 2018 and charges manufacturers and importers at £0.24 per litre for drinks with over 8g sugar per 100ml (high levy category), £0.18 per litre for drinks with 5 to 8g sugar per 100ml (low levy category) and no charge for drinks with less than 5g sugar per 100ml (no levy category). Fruit juices and milk-based drinks are exempt. We measured the impact of the SDIL on price, product size, number of soft drinks on the marketplace, and the proportion of drinks over the lower levy threshold of 5g sugar per 100ml. Methods and Findings: We analysed data on a total of 209,637 observations of soft drinks over 85 time points between September 2015 and February 2019, collected from the websites of the leading supermarkets in the UK. The dataset was structured as a repeat cross-sectional study. We used controlled interrupted time series to assess the impact of the SDIL on changes in level and slope for the four outcome variables. Equivalent models were run for potentially levy-eligible drink categories (‘intervention’ drinks) and levy-exempt fruit juices and milk-based drinks (‘control’ drinks). Observed results were compared with counterfactual scenarios based on extrapolation of pre-SDIL trends. We found that in February 2019, the proportion of intervention drinks over the lower levy sugar threshold had fallen by 33.8 percentage points (95% confidence intervals: 33.3, 34.4, p < 0.001). The price of intervention drinks in the high levy category had risen by £0.075 (£0.037, £0.115, p < 0.001) per litre – a 31% pass through rate – whilst prices of intervention drinks in the low levy category and no levy category had fallen and risen by smaller amounts, respectively. The SDIL was associated with a small impact on product size of intervention drinks and no impact on the number of drinks in supermarkets. There were sizeable differences in outcomes for branded and own-brand drinks. Equivalent models for control drinks provided little evidence of impact of the SDIL (p>0.05 for all model coefficients). These results are not sales weighted, so do not give an account of how sugar consumption from drinks may have changed over the time period. Conclusions: The results suggest that the SDIL incentivised many manufacturers to reduce sugar in soft drinks. Some of the cost of the levy to manufacturers and importers was passed on to consumers as higher prices, but not always on targeted drinks. These changes could reduce population exposure to liquid sugars and associated health risks. Registration: ISRCTN 18042742
The quality of diagnostic guidelines for children in primary care: A meta-epidemiological study.
AIM: To determine the quality of paediatric guidelines relevant to diagnosis of three of the most common conditions in primary care: fever, gastroenteritis and constipation. METHODS: We undertook a meta-epidemiological study of paediatric guidelines for fever, gastroenteritis and gastroenteritis. We systematically searched MEDLINE, Embase, Trip Database, Guidelines International Network, the National Guideline Clearinghouse and WHO from February 2011 to September 2022 for guidelines from high-income settings containing diagnostic recommendations. We assessed the quality of guideline reporting for included guidelines using the AGREE II tool. RESULTS: We included 16 guidelines: fever (n = 7); constipation (n = 4) and gastroenteritis (n = 5). The overall quality across the three conditions was graded moderate (median AGREE II score 4.5/7, range 2.5-6.5) with constipation guidelines rated the highest (median 6/7), and fever rated the lowest (median 3.8/7). Major methodological weaknesses included consideration of guideline applicability. Half of the guidelines did not report involving parent representatives, and 56% did not adequately declare or address their competing interests. CONCLUSIONS: Substantial variations exist in the quality of paediatric guidelines related to the diagnosis of primary care presentations. Better quality guidance is needed for general practitioners to improve diagnosis for children in primary care.