Andrea E Williamson

Understanding repeated non-attendance in health services: a pilot analysis of administrative data and full study protocol for a national retrospective cohort

Introduction Understanding the causes of low engagement in healthcare is a pre-requisite for improving health services’ contribution to tackling health inequalities. Low engagement includes missing healthcare appointments. Serially (having a pattern of) missing general practice (GP) appointments may provide a risk marker for vulnerability and poorer health outcomes. Methods and analysis A proof of concept pilot using GP appointment data and a focus group with GPs informed the development of missed appointment categories: patients can be classified based on the number of appointments missed each year. The full study, using a retrospective cohort design, will link routine health service and education data to determine the relationship between GP appointment attendance, health outcomes, healthcare usage, preventive health activity and social circumstances taking a life course approach and using data from the whole journey in the National Health Service (NHS) healthcare. 172 practices will be recruited (∼900 000 patients) across Scotland. The statistical analysis will focus on 2 key areas: factors that predict patients who serially miss appointments, and serial missed appointments as a predictor of future patient outcomes. Regression models will help understand how missed appointment patterns are associated with patient and practice characteristics. We shall identify key factors associated with serial missed appointments and potential interactions that might predict them. Ethics and dissemination The results of the project will inform debates concerning how best to reduce non-attendance and increase patient engagement within healthcare systems. Significant non-academic beneficiaries include governments, policymakers and medical practitioners. Results will be disseminated via a combination of academic outputs (papers, conferences), social media and through collaborative public health/policy fora.

Demographic and practice factors predicting repeated non-attendance in primary care : a national retrospective cohort analysis

Summary Background Addressing the causes of low engagement in health care is a prerequisite for reducing health inequalities. People who miss multiple appointments are an under-researched group who might have substantial unmet health needs. Individual-level patterns of missed general practice appointments might thus provide a risk marker for vulnerability and poor health outcomes. We sought to ascertain the contributions of patient and practice factors to the likelihood of missing general practice appointments. Methods For this national retrospective cohort analysis, we extracted UK National Health Service general practice data that were routinely collected across Scotland between Sept 5, 2013, and Sept 5, 2016. We calculated the per-patient number of missed appointments from individual appointments and investigated the risk of missing a general practice appointment using a negative binomial model offset by number of appointments made. We then analysed the effect of patient-level factors (including age, sex, and socioeconomic status) and practice-level factors (including appointment availability and geographical location) on the risk of missing appointments. Findings The full dataset included information from 909 073 patients, of whom 550 083 were included in the analysis after processing. We observed that 104 461 (19·0%) patients missed more than two appointments in the 3 year study period. After controlling for the number of appointments made, patterns of non-attendance could be differentiated, with patients who were aged 16–30 years (relative risk ratio [RRR] 1·21, 95% CI 1·19–1·23) or older than 90 years (2·20, 2·09–2·29), and of low socioeconomic status (Scottish Index of Multiple Deprivation decile 1: RRR 2·27, 2·22–2·31) significantly more likely to miss multiple appointments. Men missed fewer appointments overall than women, but were somewhat more likely to miss appointments in the adjusted model (1·05, 1·04–1·06). Practice factors also substantially affected attendance patterns, with urban practices in affluent areas that typically have appointment waiting times of 2–3 days the most likely to have patients who serially miss appointments. The combination of both patient and practice factors to predict appointments missed gave a higher pseudo R2 value (0·66) than models using either group of factors separately (patients only R2=0·54; practice only R2=0·63). Interpretation The findings that both patient and practice characteristics contribute to non-attendance of general practice appointments raise important questions for both the management of patients who miss multiple appointments and the effectiveness of existing strategies that aim to increase attendance. Addressing these issues should lead to improvements in provision of services and public health. Funding Scottish Government Chief Scientist Office and Data Sharing and Linkage Service of the Scottish Government.

What are the CPD needs of GPs working in areas of high deprivation? Report of a focus group meeting of ‘GPs at the Deep End’

(2015). What are the CPD needs of GPs working in areas of high deprivation? Report of a focus group meeting of ‘GPs at the Deep End’. Education for Primary Care: Vol. 26, No. 3, pp. 139-145.

Understanding "revolving door" patients in general practice: a qualitative study

Background‘Revolving door’ patients in general practice are repeatedly removed from general practitioners’ (GP) lists. This paper reports a qualitative portion of the first mixed methods study of these marginalised patients.MethodsWe conducted qualitative semi-structured interviews with six practitioner services staff and six GPs in Scotland, utilizing Charmazian grounded theory to characterise ‘revolving door’ patients and their impact from professionals’ perspectives.Results‘Revolving door’ patients were reported as having three necessary characteristics; they had unreasonable expectations, exhibited inappropriate behaviours and had unmet health needs. A range of boundary breaches were reported too when ‘revolving door’ patients interacted with NHS staff.ConclusionsWe utilise the ‘sensitising concepts’ of legitimacy by drawing on literature about ‘good and bad’ patients and ‘dirty work designations.’ We relate these to the core work of general practice and explore the role that medical and moral schemas have in how health service professionals understand and work with ‘revolving door’ patients. We suggest this may have wider relevance for the problem doctor patient relationship literature.

Multimorbidity, disadvantage, and patient engagement within a specialist homeless health service in the UK: an in-depth study of general practice data

Background There is a paucity of current health data regarding users of a specialist homeless health service in the UK. Aim To describe the health of users of a specialist homeless health service by assessing levels of multimorbidity, social exclusion — by measuring severe and multiple disadvantage (SMD) — and patient engagement with health care. Design & setting Analysis of patient-level data from computerised records of patients registered with a specialist homeless health service in Glasgow, Scotland. Method Data for 133 patients were extracted using a data extraction form. Multimorbidity and SMD were described using categorisation adapted from previous literature in this field. Stepwise regression analysis was carried out to assess the relationship between domains of SMD experienced and the number of long-term conditions (LTCs) a patient had. Results The average age of patients in the cohort was 42.8 years, however levels of multimorbidity were comparable to those aged ≥85 years in the general population. The average number of LTCs was 2.8 per patient, with 60.9% of patients having both mental and physical comorbidity. SMD was categorised into three domains: homelessness; substance misuse; and previous imprisonment. More than 90.0% of patients experienced ≥2 domains of SMD, and SMD experiences were associated with multimorbidity: as domains of SMD experiences increased, so did the number of LTCs a patient was recorded as having. Conclusion This cohort of patients has a complex burden of health and social care needs, which may act as barriers in the provision of effective health care.

Is there a link between childhood adversity, attachment style and Scotland’s excess mortality? Evidence, challenges and potential research

BackgroundScotland has a persistently high mortality rate that is not solely due to the effects of socio-economic deprivation. This “excess” mortality is observed across the entire country, but is greatest in and around the post-industrial conurbation of West Central Scotland. Despite systematic investigation, the causes of the excess mortality remain the subject of ongoing debate.DiscussionAttachment processes are a fundamental part of human development, and have a profound influence on adult personality and behaviour, especially in response to stressors. Many studies have also shown that childhood adversity is correlated with adult morbidity and mortality.The interplay between childhood adversity and attachment is complex and not fully elucidated, but will include socio-economic, intergenerational and psychological factors. Importantly, some adverse health outcomes for parents (such as problem substance use or suicide) will simultaneously act as risk factors for their children.Data show that some forms of “household dysfunction” relating to childhood adversity are more prevalent in Scotland: such problems include parental problem substance use, rates of imprisonment, rates of suicide and rates of children being taken into care. However other measures of childhood or family wellbeing have not been found to be substantially different in Scotland compared to England.SummaryWe suggest in this paper that the role of childhood adversity and attachment experience merits further investigation as a plausible mechanism influencing health in Scotland. A model is proposed which sets out some of the interactions between the factors of interest, and we propose parameters for the types of study which would be required to evaluate the validity of the model.

Interventions by healthcare professionals to improve management of physical long-term conditions in adults who are homeless: a systematic review protocol

Introduction People experiencing homelessness are at increased risk of, and have poorer outcomes from, a range of physical long-term conditions (LTCs). It is increasingly recognised that interventions targeting people who are homeless should be tailored to the specific needs of this population. This systematic review aims to identify, describe and appraise trials of interventions that aim to manage physical LTCs in homeless adults and are delivered by healthcare professionals. Methods and analysis Seven electronic databases (Medline, EMBASE, Cochrane Central Register of Controlled Trials, Assia, Scopus, PsycINFO and CINAHL) will be searched from 1960 (or inception) to October 2016 and supplemented by forward citation searching, handsearching of reference lists and searching grey literature. Two reviewers will independently review titles, abstract and full-texts using DistillerSR software. Inclusion criteria include (1) homeless adults with any physical LTC, (2) interventions delivered by a healthcare professional (any professional trained to provide any form of healthcare, but excluding social workers and professionals without health-related training), (3) comparison with usual care or an alternative intervention, (4) report outcomes such as healthcare usage, physical and psychological health or well-being or cost-effectiveness, (5) randomised controlled trials, non-randomised controlled trials, controlled before-after studies. Quality will be assessed using the Cochrane EPOC Risk of Bias Tool. A meta-analysis will be performed if sufficient data are identified; however, we anticipate a narrative synthesis will be performed. Ethics and dissemination This review will synthesise existing evidence for interventions delivered by healthcare professionals to manage physical LTCs in adults who are homeless. The findings will inform the development of future interventions and research aiming to improve the management of LTCs for people experiencing homelessness. Ethical approval will not be required for this systematic review as it does not contain individual patient data. We will disseminate the results of this systematic review via conference presentations, healthcare professional networks, social media and peer-reviewed publication. Trial registration number PROSPERO registration number: CRD42016046183.

Incentivised chronic disease management and the inverse equity hypothesis: findings from a longitudinal analysis of Scottish primary care practice-level data

BackgroundThe inverse equity hypothesis asserts that new health policies initially widen inequality, then attenuate inequalities over time. Since 2004, the UK’s pay-for-performance scheme for chronic disease management (CDM) in primary care general practices (the Quality and Outcomes Framework) has permitted practices to except (exclude) patients from attending annual CDM reviews, without financial penalty. Informed dissent (ID) is one component of exception rates, applied to patients who have not attended due to refusal or non-response to invitations. ‘Population achievement’ describes the proportion receiving care, in relation to those eligible to receive it, including excepted patients. Examination of exception reporting (including ID) and population achievement enables the equity impact of the UK pay-for-performance contract to be assessed. We conducted a longitudinal analysis of practice-level rates and of predictors of ID, overall exceptions and population achievement for CDM to examine whether the inverse equity hypothesis holds true.MethodsWe carried out a retrospective, longitudinal study using routine primary care data, analysed by multilevel logistic regression. Data were extracted from 793 practices (83% of Scottish general practices) serving 4.4 million patients across Scotland from 2010/2011 to 2012/2013, for 29 CDM indicators covering 11 incentivised diseases. This provided 68,991 observations, representing a total of 15 million opportunities for exception reporting.ResultsAcross all observations, the median overall exception reporting rate was 7.0% (7.04% in 2010–2011; 7.02% in 2011–2012 and 6.92% in 2012–2013). The median non-attendance rate due to ID was 0.9% (0.76% in 2010–2011; 0.88% in 2011–2012 and 0.96% in 2012–2013). Median population achievement was 83.5% (83.51% in 2010–2011; 83.41% in 2011–2012 and 83.63% in 2012–2013). The odds of ID reporting in 2012/2013 were 16.0% greater than in 2010/2011 (p < 0.001). Practices in Scotland’s most deprived communities were twice as likely to report non-attendance due to ID (odds ratio 2.10, 95% confidence interval 1.83–2.40, p < 0.001) compared with those in the least deprived; rural practices reported lower levels of non-attendance due to ID. These predictors were also independently associated with overall exceptions. Rates of population achievement did not change over time, with higher levels (higher remuneration) associated with increased rates of overall and ID exception and more affluent practices.ConclusionsNon-attendance for CDM due to ID has risen over time, and higher rates are seen in patients from practices located in disadvantaged areas. This suggests that CDM incentivisation does not conform to the inverse equity hypothesis, because inequalities are widening over time with lower uptake of anticipatory care health checks and CDM reviews noted among those most in need. Incentivised CDM needs to include incentives for engaging with the ‘hard to reach’ if inequalities in healthcare delivery are to be tackled.

Core intended learning outcomes for tackling health inequalities in undergraduate medicine

BackgroundDespite there being a concerted effort in recent years to influence what doctors can do to tackle health inequalities in the UK, there has been limited policy focus on what undergraduate students need to learn at medical school in preparation for this. This project led by members of the Health Inequalities Group of the Royal College of General Practitioners in collaboration with the Institute of Health Equity, University College London sought to fill this gap.DiscussionWe conducted a Delphi poll using our teaching and stakeholder networks. We identified 5 areas for learning focusing on key knowledge and skills. These were population concepts, health systems, marginalised patient groups, cultural diversity and ethics.SummaryThese intended learning outcomes about health inequalities represent the best available evidence to date for colleagues seeking to develop core undergraduate medical curricula on the topic.

Volunteers working to support migrants in Glasgow: a qualitative study

Purpose – The purpose of this paper is to explore the roles, motivations and experiences of volunteers who work to support asylum seekers (AS), refugees and refused asylum seekers (RAS) in Glasgow. Design/methodology/approach – Qualitative semi-structured interviews were conducted with eight volunteer participants who worked to support migrants in Glasgow, two of which were AS. Purposeful and theoretical sampling was used and data were analysed using the framework approach. Findings – The roles of participants were broad included providing “destitution relief” (providing shelter and food for destitute asylum seekers (DAS)) and acting as advocates for AS to help them access services. The most common reported motivation of participants was a humanitarian interest in the situation of migrants in Glasgow and the UK. In contrast, participants who were AS, volunteered because they could not work and it helped to improve their mental well-being. The complexity of the circumstances of some migrants was seen as th...