Physical health indicators in major mental illness: analysis of QOF data across UK general practice

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.

Multimorbidity is associated with the income, education, employment and health domains of area-level deprivation in adult residents in the UK

Evidence suggests that there are social inequalities in multimorbidity, with a recent review indicating that area levels of deprivation are consistently associated with greater levels of multimorbidity. Definitions of multimorbidity, the most common of which is the co-occurrence of more than one long term condition, can include long term physical conditions, mental health conditions or both. The most commonly used measure of deprivation in England and Wales is the Index of Multiple Deprivation (IMD), an index of seven different deprivation domains. It is unclear which features of IMD may be mediating associations with multimorbidity. Thus, there may be associations because of the individual characteristics of those living in deprived areas, characteristics of the areas themselves or overlap in definitions. Data from over 25,000 participants (aged 16+) of Understanding Society (Wave 10, 1/2018–3/2020) were used to understand the most salient features of multimorbidity associated with IMD and whether physical or mental conditions are differentially associated with the seven domains of IMD. 24% of participants report multimorbidity. There is an increased prevalence of multimorbidity composed of only long-term physical conditions in the most deprived decile of deprivation (22%, 95% CI[19,25]) compared to the least deprived decile (16%, 95% CI[14,18]). Mental health symptoms but not reporting of conditions vary by decile of IMD. Associations with multimorbidity are limited to the health, income, education and employment domains of IMD. We conclude that multimorbidity represents a substantial population burden, particularly in the most deprived areas in England and Wales.

Inequalities in glycemic management in people living with type 2 diabetes mellitus and severe mental illnesses: cohort study from the UK over 10 years

INTRODUCTION

Using data from a a primary care pay-for-performance scheme targeting quality indicators, the objective of this study was to assess if people living with type 2 diabetes mellitus (T2DM) and severe mental illnesses (SMI) experienced poorer glycemic management compared with people living with T2DM alone, and if observed differences varied by race/ethnicity, deprivation, gender, or exclusion from the scheme.

RESEARCH DESIGN AND METHODS

Primary care data from a cohort of 56 770 people with T2DM, including 2272 people with T2DM and SMI, from London (UK), diagnosed between January 17, 2008 and January 16, 2018, were used. Adjusted mean glycated hemoglobin (HbA1c) and HbA1c differences were assessed using multilevel regression models.

RESULTS

Compared with people with T2DM only, people with T2DM/SMI were more likely to be of an ethnic minority background, excluded from the pay-for-performance scheme and residing in more deprived areas. Across the sample, mean HbA1c was lower in those with T2DM and SMI (mean HbA1c: 58 mmol/mol; 95% CI 57 to 59), compared with people with T2DM only (mean HbA1c: 59 mmol/mol; 95% CI 59 to 60). However, HbA1c levels were greater in Bangladeshi, Indian, Pakistani, and Chinese people compared with the White British reference in the T2DM/SMI group. People with T2DM/SMI who had been excluded from the pay-for-performance scheme, had HbA1c levels which were +7 mmol/mol (95% CI 2 to 11) greater than those with T2DM/SMI not excluded. Irrespective of SMI status, increasing deprivation and male gender were associated with increased HbA1c levels.

CONCLUSIONS

Despite a pay-for-performance scheme to improve quality standards, inequalities in glycemic management in people with T2DM and SMI persist in those excluded from the scheme and by gender, ethnicity, and area-level deprivation.

Primary care management of cardiovascular risk for people with severe mental illnesses: the Primrose research programme including cluster RCT

Background

Effective interventions are needed to prevent cardiovascular disease (CVD) in people with severe mental illnesses (SMI) because their risk of CVD is higher than that of the general population.

Objectives

(1) Develop and validate risk models for predicting CVD events in people with SMI and evaluate their cost-effectiveness, (2) develop an intervention to reduce levels of cholesterol and CVD risk in SMI and (3) test the clinical effectiveness and cost-effectiveness of this new intervention in primary care.

Design

Mixed methods with patient and public involvement throughout. The mixed methods were (1) a prospective cohort and risk score validation study and cost-effectiveness modelling, (2) development work (focus groups, updated systematic review of interventions, primary care database studies investigating statin prescribing and effectiveness) and (3) cluster randomised controlled trial (RCT) assessing the clinical effectiveness and cost-effectiveness of a new practitioner-led intervention, and fidelity assessment of audio-recorded appointments.

Setting

General practices across England.

Participants

All studies included adults with SMI (schizophrenia, bipolar disorder or other non-organic psychosis). The RCT included adults with SMI and two or more CVD risk factors.

Interventions

The intervention consisted of 8–12 appointments with a practice nurse/health-care assistant over 6 months, involving collaborative behavioural approaches to CVD risk factors. The intervention was compared with routine practice with a general practitioner (GP).

Main outcome measures

The primary outcome for the risk score work was CVD events, in the cost-effectiveness modelling it was quality-adjusted life-years (QALYs) and in the RCT it was level of total cholesterol.

Data sources

Databases studies used The Health Improvement Network (THIN). Intervention development work included focus groups and systematic reviews. The RCT collected patient self-reported and routine NHS GP data. Intervention appointments were audio-recorded.

Results

Two CVD risk score models were developed and validated in 38,824 people with SMI in THIN: the Primrose lipid model requiring cholesterol levels, and the Primrose body mass index (BMI) model with no blood test. These models performed better than published Cox Framingham models. In health economic modelling, the Primrose BMI model was most cost-effective when used as an algorithm to drive statin prescriptions. Focus groups identified barriers to, and facilitators of, reducing CVD risk in SMI including patient engagement and motivation, staff confidence, involving supportive others, goal-setting and continuity of care. Findings were synthesised with evidence from updated systematic reviews to create the Primrose intervention and training programme. THIN cohort studies in 16,854 people with SMI demonstrated that statins effectively reduced levels of cholesterol, with similar effect sizes to those in general population studies over 12–24 months (mean decrease 1.2 mmol/l). Cluster RCT: 76 GP practices were randomised to the Primrose intervention (n = 38) or treatment as usual (TAU) (n = 38). The primary outcome (level of cholesterol) was analysed for 137 out of 155 participants in Primrose and 152 out of 172 in TAU. There was no difference in levels of cholesterol at 12 months [5.4 mmol/l Primrose vs. 5.5 mmol/l TAU; coefficient 0.03; 95% confidence interval (CI) –0.22 to 0.29], nor in secondary outcomes related to cardiometabolic parameters, well-being or medication adherence. Mean cholesterol levels decreased over 12 months in both arms (–0.22 mmol/l Primrose vs. –0.39 mmol/l TAU). There was a significant reduction in the cost of inpatient mental health attendances (–£799, 95% CI –£1480 to –£117) and total health-care costs (–£895, 95% CI –£1631 to –£160; p = 0.012) in the intervention group, but no significant difference in QALYs (–0.011, 95% CI –0.034 to 0.011). A total of 69% of patients attended two or more Primrose appointments. Audiotapes revealed moderate fidelity to intervention delivery (67.7%). Statin prescribing and adherence was rarely addressed.

Limitations

RCT participants and practices may not represent all UK practices. CVD care in the TAU arm may have been enhanced by trial procedures involving CVD risk screening and feedback.

Conclusions

SMI-specific CVD risk scores better predict new CVD if used to guide statin prescribing in SMI. Statins are effective in reducing levels of cholesterol in people with SMI in UK clinical practice. This primary care RCT evaluated an evidence-based practitioner-led intervention that was well attended by patients and intervention components were delivered. No superiority was shown for the new intervention over TAU for level of cholesterol, but cholesterol levels decreased over 12 months in both arms and the intervention showed fewer inpatient admissions. There was no difference in cholesterol levels between the intervention and TAU arms, which might reflect better than standard general practice care in TAU, heterogeneity in intervention delivery or suboptimal emphasis on statins.

Future work

The new risk score should be updated, deployed and tested in different settings and compared with the latest versions of CVD risk scores in different countries. Future research on CVD risk interventions should emphasise statin prescriptions more. The mechanism behind lower costs with the Primrose intervention needs exploring, including SMI-related training and offering frequent support to people with SMI in primary care.

Trial registration

Current Controlled Trials ISRCTN13762819.

Funding

This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 7, No. 2. See the NIHR Journals Library website for further project information. Professor David Osborn is supported by the University College London Hospital NIHR Biomedical Research Centre and he was also in part supported by the NIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) North Thames at Barts Health NHS Trust.

Developing and evaluating a tool to measure general practice productivity: a multimethod study

Background

Systems for measuring the performance of general practices are extremely limited.

Objectives

The aim was to develop, pilot test and evaluate a measure of productivity that can be applied across all typical general practices in England, and that may result in improvements in practice, thereby leading to better patient outcomes.

Methods

Stage 1 – the approach used was based on the Productivity Measurement and Enhancement System (ProMES). Through 16 workshops with 80 general practice staff and 72 patient representatives, the objectives of general practices were identified, as were indicators that could measure these objectives and systems to convert the indicators into an effectiveness score and a productivity index. This was followed by a consensus exercise involving a face-to-face meeting with 16 stakeholders and an online survey with 27 respondents. An online version of the tool [termed the General Practice Effectiveness Tool (GPET)] and detailed guidance were created. Stage 2 – 51 practices were trained to use the GPET for up to 6 months, entering data on each indicator monthly and getting automated feedback on changes in effectiveness over time. The feasibility and acceptability of the GPET were examined via 38 telephone interviews with practice representatives, an online survey of practice managers and two focus groups with patient representatives.

Results

The workshops resulted in 11 objectives across four performance areas: (1) clinical care, (2) practice management, (3) patient focus and (4) external focus. These were measured by 52 indicators, gathered from clinical information systems, practice records, checklists, a short patient questionnaire and a short staff questionnaire. The consensus exercise suggested that this model was appropriate, but that the tool would be of more benefit in tracking productivity within practices than in performance management. Thirty-eight out of 51 practices provided monthly data, but only 28 practices did so for the full period. Limited time and personnel changes made participation difficult for some. Over the pilot period, practice effectiveness increased significantly. Perceptions of the GPET were varied. Usefulness was given an average rating of 4.5 out of 10.0. Ease of use was more positive, scoring 5.6 out of 10.0. Five indicators were highlighted as problematic to gather, and 27% of practices had difficulties entering data. Feedback from interviews suggested difficulties using the online system and finding time to make use of feedback. Most practices could not provide sufficient monthly financial data to calculate a conventional productivity index.

Limitations

It was not possible to create a measure that provides comparability between all practices, and most practices could not provide sufficient financial data to create a productivity index, leaving an effectiveness measure instead. Having a relatively small number of practices, with no control group, limited this study, and there was a limited timescale for the testing and evaluation.

Implications

The GPET has demonstrated some viability as a tool to aid practice improvement. The model devised could serve as a basis for measuring effectiveness in general practice more widely.

Future work

Some additional research is needed to refine the GPET. Enhanced testing with a control sample would evaluate whether or not it is the use of the GPET that leads to improved performance.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Mental health in primary care: an evaluation using the Item Response Theory

OBJECTIVE To determine the items of the Brazilian National Program for Improving Access and Quality of Primary Care that better evaluate the capacity to provide mental health care. METHODS This is a cross-sectional study carried out using the Graded Response Model of the Item Response Theory using secondary data from the second cycle of the National Program for Improving Access and Quality of Primary Care, which evaluates 30,523 primary care teams in the period from 2013 to 2014 in Brazil. The internal consistency, correlation between items, and correlation between items and the total score were tested using the Cronbach's alpha, Spearman's correlation, and point biserial coefficients, respectively. The assumptions of unidimensionality and local independence of the items were tested. Word clouds were used as one way to present the results. RESULTS The items with the greatest ability to discriminate were scheduling of the agenda according to risk stratification, keeping of records of the most serious cases of users in psychological distress, and provision of group care. The items that required a higher level of mental health care in the parameter of location were the provision of any type of group care and the provision of educational and mental health promotion activities. Total Cronbach's alpha coefficient was 0.87. The items that obtained the highest correlation with total score were the recording of the most serious cases of users in psychological distress and scheduling of the agenda according to risk stratification. The final scores obtained oscillated between -2.07 (minimum) and 1.95 (maximum). CONCLUSIONS There are important aspects in the discrimination of the capacity to provide mental health care by primary health care teams: risk stratification for care management, follow-up of the most serious cases, group care, and preventive and health promotion actions.

Quality indicators in the treatment of patients with depression, bipolar disorder or schizophrenia. Consensus study

OBJECTIVE

To define a set of indicators for mental health care, monitoring quality assurance in schizophrenia, depression and bipolar disorders in Spain.

MATERIAL AND METHOD

Qualitative research. Consensus-based study involving 6 psychiatrists on the steering committee and a panel of 43 psychiatrists working in several health services in Spain. An initial proposal of 44 indicators for depression, 42 for schizophrenia and 58 for bipolar disorder was elaborated after reviewing the literature. This proposal was analysed by experts using the Delphi technique. The valuation of these indicators in successive rounds allowed those with less degree of consensus to be discarded. Feasibility, sensitivity and clinical relevance were considered. The study was carried out between July 2015 and March 2016.

RESULTS

Seventy indicators were defined by consensus: 17 for major depression, 16 for schizophrenia, 17 for bipolar disorder and 20 common to all three pathologies. These indicators included measures related to adequacy, patient safety, exacerbation, mechanical restraint, suicidal behaviour, psychoeducation, adherence, mortality and physical health.

CONCLUSIONS

This set of indicators allows quality monitoring in the treatment of patients with schizophrenia, depression or bipolar disorder. Mental health care authorities and professionals can use this proposal for developing a balanced scorecard adjusted to their priorities and welfare objectives.

The role of the Quality and Outcomes Framework in the care of long-term conditions: a systematic review

Background

Improving care for people with long-term conditions is central to NHS policy. It has been suggested that the Quality and Outcomes Framework (QOF), a primary care pay-for-performance scheme that rewards practices for delivering effective interventions in long-term conditions, does not encourage high-quality care for this group of patients.

Aim

To examine the evidence that the QOF has improved quality of care for patients with long-term conditions.

Design and setting

This was a systematic review of research on the effectiveness of the QOF in the UK.

Method

The authors searched electronic databases for peer-reviewed empirical quantitative research studying the effect of the QOF on a broad range of processes and outcomes of care, including coordination and integration of care, holistic and personalised care, self-care, patient experience, physiological and biochemical outcomes, health service utilisation, and mortality. Because the studies were heterogeneous, a narrative synthesis was carried out.

Results

The authors identified three systematic reviews and five primary research studies that met the inclusion criteria. The QOF was associated with a modest slowing of both the increase in emergency admissions and the increase in consultations in severe mental illness (SMI), and modest improvements in diabetes care. The nature of the evidence means that the authors cannot be sure that any of these associations is causal. No clear effect on mortality was found. The authors found no evidence that the QOF influences integration or coordination of care, holistic care, self-care, or patient experience.

Conclusion

The NHS should consider more broadly what constitutes high-quality primary care for people with long-term conditions, and consider other ways of motivating primary care to deliver it.

Lifestyle factors and the metabolic syndrome in Schizophrenia: a cross-sectional study

BACKGROUND

Cardiometabolic disease is more common in patients with schizophrenia than the general population.

AIM

The purpose of the study was to assess lifestyle factors, including diet and exercise, in patients with schizophrenia and estimate the prevalence of metabolic syndrome.

METHODS

This is a cross-sectional study of a representative group of outpatients with schizophrenia in Salford, UK. An interview supplemented by questionnaires was used to assess diet, physical activity, and cigarette and alcohol use. Likert scales assessed subjects' views of diet and activity. A physical examination and relevant blood tests were conducted.

RESULTS

Thirty-seven people were included in the study. 92% of men had central adiposity, as did 91.7% of women (International Diabetes Federation Definition). The mean age was 46.2 years and mean illness duration was 11.6 years. 67.6% fulfilled criteria for the metabolic syndrome. The mean number of fruit and vegetable portions per day was 2.8 ± 1.8. Over a third did not eat any fruit in a typical week. 42% reported doing no vigorous activity in a typical week. 64.9% smoked and in many cigarette use was heavy. The Likert scale showed that a high proportion of patients had insight into their unhealthy lifestyles.

CONCLUSIONS

Within this sample, there was a high prevalence of poor diet, smoking and inadequate exercise. Many did not follow national recommendations for dietary intake of fruit and vegetables and daily exercise. These factors probably contribute to the high prevalence of metabolic syndrome. Many had insight into their unhealthy lifestyles. Thus, there is potential for interventions to improve lifestyle factors and reduce the risk of cardiometabolic disease.

BMI independently relates to glycaemia in patients with severe enduring mental illness (SMI)

BACKGROUND

People with severe mental illness (SMI) have higher rates of diabetes than the general population.

AIMS

To assess the type-2 diabetes screening rates in primary care and the relation between body mass index (BMI) and dysglycaemia for patients on the SMI register in the Cheshire region of the United Kingdom.

METHODS

The setting was 24 general practices in Central and Eastern Cheshire, United Kingdom. Subjects were identified through a semianonymized search of GP registers.

RESULTS

About 451 of the 787 SMI patients were screened for dysglycaemia and dyslipidaemia. Fasting glucose was in the impaired fasting glycaemia range (6.1-6.9 mmol/l) in 6.5%, and indicative of type-2 diabetes (≥7.0 mmol/l) in 17.3%. There was a positive univariate relation between BMI and fasting glucose (normalized β = 0.26, p < 0.001). In multivariate models, adjusting for age, gender, smoking and blood pressure, each unit increase in BMI [OR = 1.07 (1.01, 1.13); p = 0.031] and triglycerides [OR = 1.28 (1.06, 1.55); p = 0.009] were independently associated with an increased risk of having type-2 diabetes.

CONCLUSION

Increasing BMI relates to dysglycaemia in patients with severe enduring mental illness (SMI). All patients with SMI whether or not receiving neuroleptic treatment should undergo routine monitoring of weight and metabolic parameters.

Body mass index and blood glucose in psychiatric and general practice populations

Aims and method Using a retrospective observational approach, we aimed to discern whether there was a difference in metabolic parameters between psychiatric and general practice populations in the same locality. Second, we aimed to establish differences in metabolic parameters of patients taking olanzapine, clozapine or aripiprazole. Results Patients with psychiatric illness had a body mass index (BMI) comparable to that of the general practice population (28.7 v. 29.7 kg/m(2)), but blood glucose was significantly lower in the general practice population (4.8 v. 6.1 mmol/L). Olanzapine was associated with the lowest BMI (26.1 kg/m(2)) and aripiprazole the highest (32.2 kg/m(2)), with no difference in blood glucose between antipsychotics. Clinical implications Awareness of environmental factors and how they affect individuals is important and medications are not the only cause of metabolic effects. There may be a channelling bias present, meaning practitioners are cognisant of potential metabolic effects prior to prescribing. Overall monitoring of physical health is important regardless of potential cause.

Cardiovascular disease treatment among patients with severe mental illness: a data linkage study between primary and secondary care

BACKGROUND

Suboptimal treatment of cardiovascular diseases (CVD) among patients with severe mental illness (SMI) may contribute to physical health disparities.

AIM

To identify SMI characteristics associated with meeting CVD treatment and prevention guidelines.

DESIGN AND SETTING

Population-based electronic health record database linkage between primary care and the sole provider of secondary mental health care services in south east London, UK.

METHOD

Cardiovascular disease prevalence, risk factor recording, and Quality and Outcomes Framework (QOF) clinical target achievement were compared among 4056 primary care patients with SMI whose records were linked to secondary healthcare records and 270 669 patients without SMI who were not known to secondary care psychiatric services, using multivariate logistic regression modelling. Data available from secondary care records were then used to identify SMI characteristics associated with QOF clinical target achievement.

RESULTS

Patients with SMI and with coronary heart disease and heart failure experienced reduced prescribing of beta blockers and angiotensin-converting enzyme inhibitor/angiotensin receptor blockers (ACEI/ARB). A diagnosis of schizophrenia, being identified with any indicator of risk or illness severity, and being prescribed with depot injectable antipsychotic medication was associated with the lowest likelihood of prescribing.

CONCLUSION

Linking primary and secondary care data allows the identification of patients with SMI most at risk of undertreatment for physical health problems.