Social Decision-Making Analysis: A General Approach to Inform Decisions on Resources in the Public Sector.

OBJECTIVES: Public expenditure aims to achieve social objectives by improving a range of socially valuable attributes of benefit (arguments in a social welfare function). Public expenditure is typically allocated to public sector budgets, where budget holders are tasked with meeting a subset of social objectives. METHODS: Decision makers require an evidence-based assessment of whether a proposed investment is likely to be worthwhile given existing levels of public expenditure. However, others also require some assessment of whether the overall level and allocation of public expenditure are appropriate. This article proposes a more general theoretical framework for economic evaluation that addresses both these questions. RESULTS: Using a stylized example of the economic evaluation of a new intervention in a simplified UK context, we show that this more general framework can support decisions beyond the approval or rejection of single projects. It shows that broader considerations about the level and allocation of public expenditure are possible and necessary when evaluating specific investments, which requires evidence of the range of benefits offered by marginal changes in different types of public expenditure and normative choices of how the attributes of benefit gained and forgone are valued. CONCLUSIONS: The proposed framework shows how to assess the value of a proposed investment and whether and how the overall level of public expenditure and its allocation across public sector budgets might be changed. It highlights that cost-benefit analysis and cost-effectiveness analysis can be viewed as special cases of this framework, identifying the weakness with each.

Measuring the overall performance of mental healthcare providers.

To date there have been no attempts to construct composite measures of healthcare provider performance which reflect preferences for health and non-health benefits, as well as costs. Health and non-health benefits matter to patients, healthcare providers and the general public. We develop a novel provider performance measurement framework that combines health gain, non-health benefit, and cost and illustrate it with an application to 54 English mental health providers. We apply estimates from a discrete choice experiment eliciting the UK general population's valuation of non-health benefits relative to health gains, to administrative and patient survey data for years 2013-2015 to calculate equivalent health benefit (eHB) for providers. We measure costs as forgone health and quantify the relative performance of providers in terms of equivalent net health benefit (eNHB): the value of the health and non-health benefits minus the forgone benefit equivalent of cost. We compare rankings of providers by eHB, eNHB, and by the rankings produced by the hospital sector regulator. We find that taking account of the non-health benefits in the eNHB measure makes a substantial difference to the evaluation of provider performance. Our study demonstrates that the provider performance evaluation space can be extended beyond measures of health gain and cost, and that this matters for comparison of providers.

The impact of COVID-19 on mental health service utilisation in England.

The COVID-19 pandemic has had a significant impact on population mental health and the need for mental health services in many countries, while also disrupting critical mental health services and capacity, as a response to the pandemic. Mental health providers were asked to reconfigure wards to accommodate patients with COVID-19, thereby reducing capacity to provide mental health services. This is likely to have widened the existing mismatch between demand and supply of mental health care in the English NHS. We quantify the impact of these rapid service reconfigurations on activity levels for mental health providers in England during the first thirteen months (March 2020-March 2021) of the COVID-19 pandemic. We use monthly mental health service utilisation data for a large subset of mental health providers in England from January 1, 2015 to March 31, 2021. We use multivariate regression to estimate the difference between observed and expected utilisation from the start of the pandemic in March 2020. Expected utilisation levels (i.e. the counterfactual) are estimated from trends in utilisation observed during the pre-pandemic period January 1, 2015 to February 31, 2020. We measure utilisation as the monthly number of inpatient admissions, discharges, net admissions (admissions less discharges), length of stay, bed days, number of occupied beds, patients with outpatient appointments, and total outpatient appointments. We also calculate the accumulated difference in utilisation from the start of the pandemic period. There was a sharp reduction in total inpatient admissions and net admissions at the beginning of the pandemic, followed by a return to pre-pandemic levels from September 2020. Shorter inpatient stays are observed over the whole period and bed days and occupied bed counts had not recovered to pre-pandemic levels by March 2021. There is also evidence of greater use of outpatient appointments, potentially as a substitute for inpatient care.

Need, demand, supply in health care: working definitions, and their implications for defining access.

Effective policymaking in health care systems begins with a clear typology of the terminology - need, demand, supply and access to care - and their interrelationships. However, the terms are contested and their meaning is rarely stated explicitly. This paper offers working definitions of need, demand and supply. We draw on the international literature and use a Venn diagram to explain the terms. We then define access to care, reviewing alternative and competing definitions from the literature. We conclude by discussing potential applications of our conceptual framework to help to understand the interrelationships and trade-offs between need, demand, supply and access in health care.

Geographic Disparities in the Availability of Mental Health Services in U.S. Public Schools.

INTRODUCTION: The purpose of this study was to examine geographic variation in the availability of and barriers to school-based mental health services. METHODS: A weighted, nationally representative sample of U.S. public schools from the 2017-2018 School Survey on Crime and Safety was used. Schools reported the provision of diagnostic mental health assessments and/or treatment as well as factors that limited the provision of mental health services. Availability of mental health services and factors limiting service provision were examined across rurality, adjusting for school enrollment and grade level. The analysis was conducted in December 2021. RESULTS: Half (51.2%) of schools reported providing mental health assessments, and 38.3% reported providing treatment. After adjusting for enrollment and grade level, rural schools were 19% less likely, town schools were 21% less likely, and suburban schools were 11% less likely to report providing mental health assessments than city schools. Only suburban schools were less likely than city schools to provide mental health treatment (incidence rate ratio=0.85; 95% CI=0.72, 1.00). Factors limiting the provision of services included inadequate access to professionals (70.9%) and inadequate funding (77.0%), which were most common among rural schools. CONCLUSIONS: Significant inequities in school-based mental health services exist outside of urban areas.

Impact of prevention in primary care on costs in primary and secondary care for people with serious mental illness.

A largely unexplored part of the financial incentive for physicians to participate in preventive care is the degree to which they are the residual claimant from any resulting cost savings. We examine the impact of two preventive activities for people with serious mental illness (care plans and annual reviews of physical health) by English primary care practices on costs in these practices and in secondary care. Using panel two-part models to analyze patient-level data linked across primary and secondary care, we find that these preventive activities in the previous year are associated with cost reductions in the current quarter both in primary and secondary care. We estimate that there are large beneficial externalities for which the primary care physician is not the residual claimant: the cost savings in secondary care are 4.7 times larger than the cost savings in primary care. These activities are incentivized in the English National Health Service but the total financial incentives for primary care physicians to participate were considerably smaller than the total cost savings produced. This suggests that changes to the design of incentives to increase the marginal reward for conducting these preventive activities among patients with serious mental illness could have further increased welfare.

Telehealth Competencies for Nursing Education and Practice: The Four P's of Telehealth.

BACKGROUND: Telehealth is a rapidly growing health care delivery modality with advanced practice nurses as key providers. This growth has occurred without critical consideration of provider training. Training requires the development of competencies situated within a framework. PROBLEM: Standardized telehealth competencies for advanced practice nursing are missing. The purpose of this article is to describe the development of telehealth competencies for education and practice. APPROACH: Using the Four P's of Telehealth framework (planning, preparing, providing, and performance evaluation), a modified Delphi technique was used to identify, develop, and evaluate telehealth competencies. OUTCOMES: Competencies were arranged around telehealth domains, expected activities, and outcomes. Effective use of the competencies to guide curriculum development, practice, and future research related to telehealth was identified. CONCLUSIONS: Providing education with competencies aligned to the Four P's Telehealth framework will provide learners with tools to assume leadership roles in all phases of telehealth implementation, delivery, and refinement.

Palliative Care Needs and Integration of Palliative Care Support in COPD: A Qualitative Study.

BACKGROUND: The provision of palliative care for severe COPD remains low, resulting in unmet needs in patients and carers. RESEARCH QUESTIONS: What are the palliative care needs of patients living with severe COPD and their caregivers? What views of accessing and providing palliative care and factors influence these experiences. To what extent have palliative care and COPD services been integrated? STUDY DESIGN AND METHODS: A multicentre qualitative study was undertaken in COPD services and specialist palliative care in the United Kingdom involving patients with severe COPD, their carers, and health professionals. Data were collected using semistructured interviews and were analyzed using framework analysis. Themes were integrated using the constant comparison process, enabling systematic data synthesis. RESULTS: Four themes were generated from interviews with 20 patients, six carers, and 25 health professionals: management of exacerbations, palliative care needs, access to palliative care and pathways, and integration of palliative care support. Uncertainty and fear were common in patients and carers, with identified needs for reassurance, rapid medical access, home care, and finance advice. Timely palliative care was perceived as important by health professionals. Palliative care was integrated into COPD services, although models of working varied across regions. Reliable screening tools and needs assessment, embedded psychological care, and enhanced training in palliative care and communication skills were perceived to be important by health professionals for timely palliative care referrals and optimized management. INTERPRETATION: Palliative care increasingly is being implemented for nonmalignant diseases including COPD throughout the United Kingdom, although models of working vary. A theoretical model was developed to illustrate the concept and pathway of the integration of palliative care support. A standardized screening and needs assessment tool is required to improve timely palliative care and to address the significant needs of this population.

Evaluating integrated care for people with complex needs.

OBJECTIVES: As part of the Vanguard programme, two integrated care models were introduced in South Somerset for people with complex care needs: the Complex Care Team and Enhanced Primary Care. We assessed their impact on a range of utilization measures and mortality. METHODS: We used monthly individual-level linked primary and secondary care data from April 2014 to March 2018 to assess outcomes before and after the introduction of the care models. The analysis sample included 564 Complex Care Team and 841 Enhanced Primary Care cases that met specific criteria. We employed propensity score methods to identify out-of-area control patients and difference-in-differences analysis to isolate the care models' impact. RESULTS: We found no evidence of significantly reduced utilization in any of the Complex Care Team or Enhanced Primary Care cohorts. The death rate was significantly lower only for those in the first Enhanced Primary Care cohort. CONCLUSIONS: The integrated care models did not significantly reduce utilization nor consistently reduce mortality. Future research should test longer-term outcomes associated with the new models of care and quantify their contribution in the context of broader initiatives.

Investigating the relationship between social care supply and healthcare utilization by older people in England.

Since 2010, adult social care spending in England has fallen significantly in real terms whilst demand has risen. Reductions in social care supply may also have impacted demand for NHS services, particularly for those whose care is provided at the interface of the health and care systems. We analyzed a panel dataset of 150 local authorities (councils) to test potential impacts on hospital utilization by people aged 65 and over: emergency admission rates for falls and hip fractures ("front-door" measures); and extended stays of 7 days or longer; and 21 days or longer ("back-door" measures). Changes in social care supply were assessed in two ways: gross current expenditure (per capita 65 and over) adjusted by local labor costs and social care workforce (per capita 18 and over). We ran negative binomial models, controlling for deprivation, ethnicity, age, unpaid care, council class, and year effects. To account for potential endogeneity, we ran instrumental variable regressions and dynamic panel models. Sensitivity analysis explored potential effects of funding for integrated care (the Better Care Fund). There was no consistent evidence that councils with higher per capita spend or higher social care staffing rates had lower hospital admission rates or shorter hospital stays.

Plan, recruit, retain: a framework for local healthcare organizations to achieve a stable remote rural workforce.

BACKGROUND: Recruiting and retaining a skilled health workforce is a common challenge for remote and rural communities worldwide, negatively impacting access to services, and in turn peoples' health. The research literature highlights different factors facilitating or hindering recruitment and retention of healthcare workers to remote and rural areas; however, there are few practical tools to guide local healthcare organizations in their recruitment and retention struggles. The purpose of this paper is to describe the development process, the contents, and the suggested use of The Framework for Remote Rural Workforce Stability. The Framework is a strategy designed for rural and remote healthcare organizations to ensure the recruitment and retention of vital healthcare personnel. METHOD: The Framework is the result of a 7-year, five-country (Sweden, Norway, Canada, Iceland, and Scotland) international collaboration combining literature reviews, practical experience, and national case studies in two different projects. RESULT: The Framework consists of nine key strategic elements, grouped into three main tasks (plan, recruit, retain). Plan: activities to ensure that the population's needs are periodically assessed, that the right service model is in place, and that the right recruits are targeted. Recruit: activities to ensure that the right recruits and their families have the information and support needed to relocate and integrate in the local community. Retain: activities to support team cohesion, train current and future professionals for rural and remote health careers, and assure the attractiveness of these careers. Five conditions for success are recognition of unique issues; targeted investment; a regular cycle of activities involving key agencies; monitoring, evaluating, and adjusting; and active community participation. CONCLUSION: The Framework can be implemented in any local context as a holistic, integrated set of interventions. It is also possible to implement selected components among the nine strategic elements in order to gain recruitment and/or retention improvements.

Trends in and drivers of healthcare expenditure in the English NHS: a retrospective analysis.

BACKGROUND: In England, rises in healthcare expenditure consistently outpace growth in both GDP and total public expenditure. To ensure the National Health Service (NHS) remains financially sustainable, relevant data on healthcare expenditure are needed to inform decisions about which services should be delivered, by whom and in which settings. METHODS: We analyse routine data on NHS expenditure in England over 9 years (2008/09 to 2016/17). To quantify the relative contribution of the different care settings to overall healthcare expenditure, we analyse trends in 14 healthcare settings under three broad categories: Hospital Based Care (HBC), Diagnostics and Therapeutics (D&T) and Community Care (CC). We exclude primary care and community mental health services settings due to a lack of consistent data. We employ a set of indices to aggregate diverse outputs and to disentangle growth in healthcare expenditure that is driven by activity from that due to cost pressures. We identify potential drivers of the observed trends from published studies. RESULTS: Over the 9-year study period, combined NHS expenditure on HBC, D&T and CC rose by 50.2%. Expenditure on HBC rose by 54.1%, corresponding to increases in both activity (29.2%) and cost (15.7%). Rises in expenditure in inpatient (38.5%), outpatient (57.2%), and A&E (59.5%) settings were driven predominately by higher activity. Emergency admissions rose for both short-stay (45.6%) and long-stay cases (26.2%). There was a switch away from inpatient elective care (which fell by 5.1%) and towards day case care (34.8% rise), likely reflecting financial incentives for same-day discharges. Growth in expenditure on D&T (155.2%) was driven by rises in the volume of high cost drugs (270.5%) and chemotherapy (110.2%). Community prescribing grew by 45.2%, with costs falling by 24.4%. Evidence on the relationship between new technologies and healthcare expenditure is mixed, but the fall in drug costs could reflect low generic prices, and the use of health technology assessment or commercial arrangements to inform pricing of new medicines. CONCLUSIONS: Aggregate trends in HCE mask enormous variation across healthcare settings. Understanding variation in activity and cost across settings is an important initial step towards ensuring the long-term sustainability of the NHS.

Why are there long waits at English emergency departments?

A core performance target for the English National Health Service (NHS) concerns waiting times at Emergency Departments (EDs), with the aim of minimising long waits. We investigate the drivers of long waits. We analyse weekly data for all major EDs in England from April 2011 to March 2016. A Poisson model with ED fixed effects is used to explore the impact on long (> 4 h) waits of variations in demand (population need and patient case-mix) and supply (emergency physicians, introduction of a Minor Injury Unit (MIU), inpatient bed occupancy, delayed discharges and long-term care). We assess overall ED waits and waits on a trolley (gurney) before admission. We also investigate variation in performance among EDs. The rate of long overall waits is higher in EDs serving older patients (4.2%), where a higher proportion of attendees leave without being treated (15.1%), in EDs with a higher death rate (3.3%) and in those located in hospitals with greater bed occupancy (1.5%). These factors are also significantly associated with higher rates of long trolley waits. The introduction of a co-located MIU is significantly and positively associated with long overall waits, but not with trolley waits. There is substantial variation in waits among EDs that cannot be explained by observed demand and supply characteristics. The drivers of long waits are only partially understood but addressing them is likely to require a multi-faceted approach. EDs with high rates of unexplained long waits would repay further investigation to ascertain how they might improve.

Impact of family practice continuity of care on unplanned hospital use for people with serious mental illness.

OBJECTIVE: To investigate whether continuity of care in family practice reduces unplanned hospital use for people with serious mental illness (SMI). DATA SOURCES: Linked administrative data on family practice and hospital utilization by people with SMI in England, 2007-2014. STUDY DESIGN: This observational cohort study used discrete-time survival analysis to investigate the relationship between continuity of care in family practice and unplanned hospital use: emergency department (ED) presentations, and unplanned admissions for SMI and ambulatory care-sensitive conditions (ACSC). The analysis distinguishes between relational continuity and management/ informational continuity (as captured by care plans) and accounts for unobserved confounding by examining deviation from long-term averages. DATA COLLECTION/EXTRACTION METHODS: Individual-level family practice administrative data linked to hospital administrative data. PRINCIPAL FINDINGS: Higher relational continuity was associated with 8-11 percent lower risk of ED presentation and 23-27 percent lower risk of ACSC admissions. Care plans were associated with 29 percent lower risk of ED presentation, 39 percent lower risk of SMI admissions, and 32 percent lower risk of ACSC admissions. CONCLUSIONS: Family practice continuity of care can reduce unplanned hospital use for physical and mental health of people with SMI.

Analysis of the EPR spectra of transferrin: the importance of a zero-field-splitting distribution and 4th-order terms.

Multi-frequency EPR spectroscopy can provide high-level structural information on high-spin Fe3+ sites in proteins and enzymes. Unfortunately, analysis of the EPR spectra of these spin systems is hindered by the presence of broad distributions in the zero-field-splitting (ZFS) parameters, which reflect conformational heterogeneity of the iron sites. We present the analysis of EPR spectra of high-spin Fe3+ bound to human serum transferrin. We apply a method termed the grid-of-errors to extract the distributions of the individual ZFS parameters from EPR spectra recorded in the high-field limit at a microwave frequency of 275 GHz. Study of a series of transferrin variants shows that the ZFS distributions are as characteristic of the structure of a high-spin Fe3+ site as the ZFS parameters themselves. Simulations based on the extracted ZFS distributions reproduce spectra recorded at 34 GHz (Q band) and 9.7 GHz (X band), including subtle variations that were previously difficult to quantify. The X-band spectrum of transferrin shows a characteristic double peak, which has puzzled researchers for decades. We show that the double peak is uniquely related to the term B4-3O4-3(S) in the spin Hamiltonian. Our method is generally applicable in the analysis of spectra that arise from a broad distribution of parameters.

Association Between Antipsychotic Polypharmacy and Outcomes for People With Serious Mental Illness in England.

OBJECTIVE: Although U.K. and international guidelines recommend monotherapy, antipsychotic polypharmacy among patients with serious mental illness is common in clinical practice. However, empirical evidence on its effectiveness is scarce. Therefore, the authors estimated the effectiveness of antipsychotic polypharmacy relative to monotherapy in terms of health care utilization and mortality. METHODS: Primary care data from Clinical Practice Research Datalink, hospital data from Hospital Episode Statistics, and mortality data from the Office of National Statistics were linked to compile a cohort of patients with serious mental illness in England from 2000 to 2014. The antipsychotic prescribing profile of 17,255 adults who had at least one antipsychotic drug record during the period of observation was constructed from primary care medication records. Survival analysis models were estimated to identify the effect of antipsychotic polypharmacy on the time to first occurrence of each of three outcomes: unplanned hospital admissions (all cause), emergency department (ED) visits, and mortality. RESULTS: Relative to monotherapy, antipsychotic polypharmacy was not associated with increased risk of unplanned hospital admission (hazard ratio [HR]=1.14; 95% confidence interval [CI]=0.98-1.32), ED visit (HR=0.95; 95% CI=0.80-1.14), or death (HR=1.02; 95% CI=0.76-1.37). Relative to not receiving antipsychotic medication, monotherapy was associated with a reduced hazard of unplanned admissions to the hospital and ED visits, but it had no effect on mortality. CONCLUSIONS: The study results support current guidelines for antipsychotic monotherapy in routine clinical practice. However, they also suggest that when clinicians have deemed antipsychotic polypharmacy necessary, health care utilization and mortality are not affected.

Incentive schemes to increase dementia diagnoses in primary care in England: a retrospective cohort study of unintended consequences.

BACKGROUND: The UK government introduced two financial incentive schemes for primary care to tackle underdiagnosis in dementia: the 3-year Directed Enhanced Service 18 (DES18) and the 6-month Dementia Identification Scheme (DIS). The schemes appear to have been effective in boosting dementia diagnosis rates, but their unintended effects are unknown. AIM: To identify and quantify unintended consequences associated with the DES18 and DIS schemes. DESIGN AND SETTING: A retrospective cohort quantitative study of 7079 English primary care practices. METHOD: Potential unintended effects of financial incentive schemes, both positive and negative, were identified from a literature review. A practice-level dataset covering the period 2006/2007 to 2015/2016 was constructed. Difference-in-differences analysis was employed to test the effects of the incentive schemes on quality measures from the Quality and Outcomes Framework (QOF); and four measures of patient experience from the GP Patient Survey (GPPS): patient-centred care, access to care, continuity of care, and the doctor-patient relationship. The researchers controlled for effects of the contemporaneous hospital incentive scheme for dementia and for practice characteristics. RESULTS: National practice participation rates in DES18 and DIS were 98.5% and 76% respectively. Both schemes were associated not only with a positive impact on QOF quality outcomes, but also with negative impacts on some patient experience indicators. CONCLUSION: The primary care incentive schemes for dementia appear to have enhanced QOF performance for the dementia review, and have had beneficial spillover effects on QOF performance in other clinical areas. However, the schemes may have had negative impacts on several aspects of patient experience.

Effects of local authority expenditure on childhood obesity.

BACKGROUND: Under the 2013 reforms introduced by the Health and Social Care Act (2012), public health responsibilities in England were transferred from the National Health Service to local authorities (LAs). Ring-fenced grants were introduced to support the new responsibilities. The aim of our study was to test whether the level of expenditure in 2013/14 affected the prevalence of childhood obesity in 2016/17. METHODS: We used National Child Measurement Programme definitions of childhood obesity and datasets. We used LA revenue returns data to derive three measures of per capita expenditure: childhood obesity (<19); physical activity (<19) and the Children's 5-19 Public Health Programme. We ran separate negative binomial models for two age groups of children (4-5 year olds; 10-11 year olds) and conducted sensitivity analyses. RESULTS: With few exceptions, the level of spend in 2013/14 was not significantly associated with the level of childhood obesity in 2016/17. We identified some positive associations between spend on physical activity and the Children's Public Health Programme at baseline (2013/14) and the level of childhood obesity in children aged 4-5 in 2016/17, but the effect was not evident in children aged 10-11. In both age groups, LA levels of childhood obesity in 2016/17 were significantly and positively associated with obesity levels in 2013/14. As these four cohorts comprise entirely different pupils, this underlines the importance of local drivers of childhood obesity. CONCLUSIONS: Higher levels of local expenditure are unlikely to be effective in reducing childhood obesity in the short term.

Prospective payment systems and discretionary coding-Evidence from English mental health providers.

Reimbursement of English mental health hospitals is moving away from block contracts and towards activity and outcome-based payments. Under the new model, patients are categorised into 20 groups with similar levels of need, called clusters, to which prices may be assigned prospectively. Clinicians, who make clustering decisions, have substantial discretion and can, in principle, directly influence the level of reimbursement the hospital receives. This may create incentives for upcoding. Clinicians are supported in their allocation decision by a clinical clustering algorithm, the Mental Health Clustering Tool, which provides an external reference against which clustering behaviour can be benchmarked. The aims of this study are to investigate the degree of mismatch between predicted and actual clustering and to test whether there are systematic differences amongst providers in their clustering behaviour. We use administrative data for all mental health patients in England who were clustered for the first time during the financial year 2014/15 and estimate multinomial multilevel models of over, under, or matching clustering. Results suggest that hospitals vary systematically in their probability of mismatch but this variation is not consistently associated with observed hospital characteristics.

Do care plans and annual reviews of physical health influence unplanned hospital utilisation for people with serious mental illness? Analysis of linked longitudinal primary and secondary healthcare records in England.

OBJECTIVE: To investigate whether two primary care activities that are framed as indicators of primary care quality (comprehensive care plans and annual reviews of physical health) influence unplanned utilisation of hospital services for people with serious mental illness (SMI). DESIGN, SETTING, PARTICIPANTS: Retrospective observational cohort study using linked primary care and hospital records (Hospital Episode Statistics) for 5158 patients diagnosed with SMI between April 2006 and March 2014, who attended 213 primary care practices in England that contribute to the Clinical Practice Research Datalink GOLD database. OUTCOMES AND ANALYSIS: Cox survival models were used to estimate the associations between two primary care quality indicators (care plans and annual reviews of physical health) and the hazards of three types of unplanned hospital utilisation: presentation to accident and emergency departments (A&E), admission for SMI and admission for ambulatory care sensitive conditions (ACSC). RESULTS: Risk of A&E presentation was 13% lower (HR 0.87, 95% CI 0.77 to 0.98) and risk of admission to hospital for ACSC was 23% lower (HR 0.77, 95% CI 0.60 to 0.99) for patients with a care plan documented in the previous year compared with those without a care plan. Risk of A&E presentation was 19% lower for those who had a care plan documented earlier but not updated in the previous year (HR: 0.81, 95% CI 0.67 to 0.97) compared with those without a care plan. Risks of hospital admission for SMI were not associated with care plans, and none of the outcomes were associated with annual reviews. CONCLUSIONS: Care plans documented in primary care for people with SMI are associated with reduced risk of A&E attendance and reduced risk of unplanned admission to hospital for physical health problems, but not with risk of admission for mental health problems. Annual reviews of physical health are not associated with risk of unplanned hospital utilisation.