Primary care consultation rates among people with and without severe mental illness: a UK cohort study using the Clinical Practice Research Datalink

Unravelling the dynamics of mental health inequalities in England: A 12-year nationwide longitudinal spatial analysis of recorded depression prevalence

Background

Depression is one of the most significant public health issues, but evidence of geographic patterns and trends of depression is limited. We aimed to examine the spatio-temporal patterns and trends of depression prevalence among adults in a nationwide longitudinal spatial study in England and evaluate the influence of neighbourhood socioeconomic deprivation in explaining patterns.

Methods

Information on recorded depression prevalence was obtained from the indicator Quality and Outcomes Framework: Depression prevalence that measured the annual percentage of adults diagnosed with depression for Lower Super Output Areas (LSOA) from 2011 to 2022. We applied Cluster and Outlier Analysis using the Local Moran's I algorithm. Local effects of deprivation on depression in 2020 examined with Geographically Weighted Regression (GWR). Inequalities in recorded prevalence were presented using Prevalence Rate Ratios (PRR).

Results

The North West Region of England had the highest concentration of High-High clusters of depression, with 17.4% of the area having high values surrounded by high values in both space and time and the greatest percentage of areas with a high rate of increase (43.1%). Inequalities widened among areas with a high rate of increase in prevalence compared to those with a lower rate of increase, with the PRR increasing from 1.66 (99% CI 1.61-1.70) in 2011 to 1.81 (99% CI 1.76-1.85) by 2022. Deprivation explained 3%-39% of the variance in depression in 2020 across the country.

Conclusions

It is crucial to monitor depression's spatial patterns and trends and investigate mechanisms of mental health inequalities. Our findings can help identify priority areas and target prevention and intervention strategies in England. Evaluating mental health interventions in different geographic contexts can provide valuable insights to policymakers on the most effective and context-sensitive strategies, enabling them to allocate resources towards preventing the worsening of mental health inequalities.

Recognising and Responding to Suicide-Risk Factors in Primary Care: A Scoping Review

The cost of one suicide is estimated to be £1.67 million (2 million euros) to the UK economy. Most people who die by suicide have seen a primary care practitioner (PCP) in the year prior to death. PCPs could aim to intervene before suicidal behaviours arise by addressing suicide-risk factors noted in primary care consultations, thereby preventing suicide and promoting health and wellbeing. This study aimed to conduct a rapid, systematic scoping review to explore how PCPs can effectively recognise and respond to suicide-risk factors. MedLine, CINAHL, PsycINFO, Web of Science and Cochrane Library databases were searched for three key concepts: suicide prevention, mental health and primary care. Two reviewers screened titles, abstracts and full papers independently against the eligibility criteria. Data synthesis was achieved by extracting and analysing study characteristics and findings. Forty-two studies met the eligibility criteria and were cited in this scoping review. Studies were published between 1990 and 2020 and were of good methodological quality. Six themes regarding suicide risk assessment in primary care were identified: Primary care consultations prior to suicide; Reasons for non-disclosure of suicidal behaviour; Screening for suicide risk; Training for primary care staff; Use of language by primary care staff; and, Difference in referral pathways from general practitioners or primary care practitioners. This review focused on better recognition and response to specific suicide-risk factors more widely such as poor mental health, substance misuse and long-term physical health conditions. Primary care is well placed to address the range of suicide-risk factors including biological, physical-health, psychological and socio-economic factors and therefore these findings could inform the development of person-centred approaches to be used in primary care.

A scoping review of cardiovascular risk factor screening rates in general or family practice attendees living with severe mental ill-health

BACKGROUND

Primary care is essential to address the unmet physical health needs of people with severe mental ill-health. Continued poor cardiovascular health demands improved screening and preventive care. No previous reviews have examined primary care cardiovascular screening rates for people living with severe mental ill-health; termed in the literature "severe mental illness".

METHODS

A scoping review following Joanna Briggs Institute methodology was conducted. Cardiovascular risk factor screening rates in adults with severe mental ill-health were examined in general or family practices (as the main delivery sites of primary care). Literature published between 2001 and 2023 was searched using electronic databases including Medline, Embase, Web of Science, PsychINFO and CINAHL. Two reviewers independently screened titles and abstracts and conducted a full-text review. The term "severe mental illness" was applied as the term applied in the literature over the past decades. Study information, participant details and cardiovascular risk factor screening rates for people with 'severe mental illness' were extracted and synthesised.

RESULTS

Thirteen studies were included. Nine studies were from the United Kingdom and one each from Canada, Spain, New Zealand and the Netherlands. The general and/or family practice cardiovascular disease screening rates varied considerably across studies, ranging from 0 % to 75 % for people grouped within the term "severe mental illness". Lipids and blood pressure were the most screened risk factors.

CONCLUSIONS

Cardiovascular disease screening rates in primary care settings for adults living with severe mental ill-health varied considerably. Tailored and targeted cardiovascular risk screening will enable more comprehensive preventive care to improve heart health outcomes and address this urgent health inequity.

Severe mental illness, race/ethnicity, multimorbidity and mortality following COVID-19 infection: nationally representative cohort study

BACKGROUND

The association of COVID-19 with death in people with severe mental illness (SMI), and associations with multimorbidity and ethnicity, are unclear.

AIMS

To determine all-cause mortality in people with SMI following COVID-19 infection, and assess whether excess mortality is affected by multimorbidity or ethnicity.

METHOD

This was a retrospective cohort study using primary care data from the Clinical Practice Research Database, from February 2020 to April 2021. Cox proportional hazards regression was used to estimate the effect of SMI on all-cause mortality during the first two waves of the COVID-19 pandemic.

RESULTS

Among 7146 people with SMI (56% female), there was a higher prevalence of multimorbidity compared with the non-SMI control group (n = 653 024, 55% female). Following COVID-19 infection, the SMI group experienced a greater risk of death compared with controls (adjusted hazard ratio (aHR) 1.53, 95% CI 1.39-1.68). Black Caribbean/Black African people were more likely to die from COVID-19 compared with White people (aHR = 1.22, 95% CI 1.12-1.34), with similar associations in the SMI group and non-SMI group (P for interaction = 0.73). Following infection with COVID-19, for every additional multimorbidity condition, the aHR for death was 1.06 (95% CI 1.01-1.10) in the SMI stratum and 1.16 (95% CI 1.15-1.17) in the non-SMI stratum (P for interaction = 0.001).

CONCLUSIONS

Following COVID-19 infection, patients with SMI were at an elevated risk of death, further magnified by multimorbidity. Black Caribbean/Black African people had a higher risk of death from COVID-19 than White people, and this inequity was similar for the SMI group and the control group.

Factors associated with the consultation of GPs among adults aged ≥16 years: an analysis of data from the Health Survey for England 2019

BACKGROUND

Understanding the factors associated with demands for general practice care is crucial for policy decision makers to appropriately allocate healthcare resources.

AIM

To investigate factors associated with the frequency of GP consultations.

DESIGN & SETTING

Data on 8086 adults aged ≥16 years was obtained from cross-sectional Health Survey for England (HSE) 2019.

METHOD

The primary outcome was the frequency of consultations of a GP in the last 12 months. Multivariable ordered logistic regression analysis was used to evaluate associations between GP consultations and a range of sociodemographic and health-related factors.

RESULTS

Frequency of GP consultations for all reasons was higher among females (odds ratio [OR] 1.81, 95% confidence interval [CI] = 1.64 to 2.01), those aged ≥75 years (OR 1.48, 95% CI = 1.15 to 1.92), ethnic minority populations (Black: OR 1.42, 95% CI = 1.09 to 1.84; Asian: OR 1.53, 95% CI = 1.25 to 1.87), lowest household income (OR 1.53, 95% CI = 1.29 to 1.83), adults with long-lasting illnesses (OR 3.78, 95% CI = 3.38 to 4.22), former smokers (OR 1.17, 95% CI = 1.04 to 1.22), being overweight (OR 1.14, 95% CI = 1.01 to 1.29), and being obese (OR 1.32, 95% CI = 1.16 to 1.50). Predictors of consultations for physical health problems were similar to predictors of consultations for any health problems. However, younger age was associated with more consultations for mental health problems, or a combination of mental and physical health problems.

CONCLUSION

The higher frequency of consultation of GPs is associated with female sex, older age, ethnic minority populations, being socioeconomically disadvantaged, existence of lasting illnesses, smoking, being overweight, and being obese. Older age is associated with increased consultations for physical health problems, but associated with reduced consultations for mental health or a combination of mental and physical health problems.

The coding of telephone consultations in UK primary care databases: are we picking up all the calls?

OBJECTIVES

To examine the use of two coding systems used in the THIN UK primary care research database for the coding of telephone encounters between patient and healthcare professional in primary care. This is relevant to other research databases built on GP clinical systems. Consideration of telephone consultations was particularly important during the COVID-19 pandemic as remote interactions between patient and GP are more numerous than before and are likely to remain at a higher frequency.

RESULTS

Telephone encounters could either be indicated by a consultation-type code or by a Read code. All three possible combinations (coded by one method, the other method and both) were in use. In 2014, 30% were coded by the consultation-type, 55% by Read codes and 15% by both. In contrast, in 2000, 77% were coded by the consultation-type, 21% by Read codes and 2% by both. This has important implications because national and regional consultation rates by GPs are often estimated from these research databases by looking only at the consultation-type codes and consequently many encounters will not be detected.

Antidepressant and antipsychotic drug prescribing and diabetes outcomes: A systematic review of observational studies

AIMS

Psychotropic medication may be associated with adverse effects, including among people with diabetes. We conducted a systematic review of observational studies investigating the association between antidepressant or antipsychotic drug prescribing and type 2 diabetes outcomes.

METHODS

We systematically searched PubMed, EMBASE, and PsycINFO to 15th August 2022 to identify eligible studies. We used the Newcastle-Ottawa scale to assess study quality and performed a narrative synthesis.

RESULTS

We included 18 studies, 14 reporting on antidepressants and four on antipsychotics. There were 11 cohort studies, one self-controlled before and after study, two case-control studies, and four cross-sectional studies, of variable quality with highly heterogeneous study populations, exposure definitions, and outcomes analysed. Antidepressant prescribing may be associated with increased risk of macrovascular disease, whilst evidence on antidepressant and antipsychotic prescribing and glycaemic control was mixed. Few studies reported microvascular outcomes and risk factors other than glycaemic control.

CONCLUSIONS

Studies of antidepressant and antipsychotic drug prescribing in relation to diabetes outcomes are scarce, with shortcomings and mixed findings. Until further evidence is available, people with diabetes prescribed antidepressants and antipsychotics should receive monitoring and appropriate treatment of risk factors and screening for complications as recommended in general diabetes guidelines.

Use of urgent, emergency and acute care by mental health service users: A record-level cohort study

BACKGROUND

People with serious mental illness experience worse physical health and greater mortality than the general population. Crude rates of A&E attendance and acute hospital admission are higher in people with serious mental illness than other hospital users. We aimed to further these findings by undertaking a standardised comparison of urgent and emergency care pathway use among users of mental health services and the general population.

METHODS

Retrospective cohort analysis using routine data from 2013-2016 from the CUREd dataset for urgent and emergency care contacts (NHS 111, ambulance, A&E and acute admissions) and linked mental health trust data for Sheffield, England. We compared annual age- and sex-standardised usage rates for each urgent and emergency care service between users of mental health services and those without a recent history of mental health service use.

RESULTS

We found marked differences in usage rates for all four urgent and emergency care services between the general population and users of mental health services. Usage rates and the proportion of users were 5-6 times and 3-4 times higher in users of mental health services, respectively, for all urgent and emergency care services. Users of mental health services were often more likely to experience the highest or lowest acuity usage characteristics.

CONCLUSIONS

Current users of mental health services were heavily over-represented among urgent and emergency care users, and they made more contacts per-person. Higher service use among users of mental health services could be addressed by improved community care, more integrated physical and mental health support, and more proactive primary care. A complex pattern of service use among users of mental health services suggests this will need careful targeting to reduce avoidable contacts and optimise patient outcomes.

Association of physician financial incentives with primary care enrolment of adults with serious mental illnesses in Ontario: a retrospective observational population-based study

BACKGROUND

Financial incentives may improve primary care access for adults with schizophrenia or bipolar disorder (serious mental illness [SMI]). We studied the association between receipt of the SMI financial premium paid to primary care physicians and rostering of adults with SMI in different patient enrolment models (PEMs), including enhanced fee-for-service and capitation-based models with and without interdisciplinary team-based care.

METHODS

We conducted a retrospective cohort study involving Ontario adults (≥18 yr) with SMI in PEM practices, in fiscal years 2016/17 and 2017/18. Using negative binomial models, we examined relations between rostering and the primary care model and the contribution of the incentive. Similar models were developed for adults with type 1 or 2 diabetes mellitus and the general population.

RESULTS

Among 9730 physicians in PEM practices, 4866 (50.0%) received a premium and 448 319 (88.4%) people with SMI in PEMs were rostered. Compared with enhanced fee for service, the likelihood of rostering people with SMI was 3.0% higher for patients in capitation with team-based care (adjusted relative risk [RR] 1.03, 95% confidence interval [CI] 1.02-1.04), with similar results for capitation without team-based care (adjusted RR 1.00 95% CI 0.99-1.01). Rostering for people with diabetes was similar in team-based care (adjusted RR 1.02, 95% CI 1.02-1.03) but higher in capitation without team-based care (adjusted RR 1.03, 95% CI 1.02-1.03) and slightly higher for the Ontario population (team-based care 1.04, 95% CI 1.04-1.05, capitation without team-based care 1.03, 95% CI 1.03-1.04).

INTERPRETATION

Rostering of people with SMI was lower than for the general population. Additional policy measures are needed to address persisting inequities and to promote rostering of this underserved population with complex needs.

Severe mental illness and quality of care for type 2 diabetes: A retrospective population-based cohort study

AIMS

To compare quality of care for type 2 diabetes in people with severe mental illness (SMI) versus no mental illness.

METHODS

We used routinely collected linked data to create a retrospective cohort study. We included 158,901 people diagnosed with type 2 diabetes in Scotland during 2009-2018 of whom 1701 (1%), 768 (0.5%) and 5211 (3%) had a prior hospital admission record for schizophrenia, bipolar disorder, and major depression, respectively. We compared recording of HbA1c, cholesterol, creatinine, blood pressure, urinary albumin, foot examination, retinopathy screening, body mass index and smoking during the first year after diabetes diagnosis using logistic regression and recording of HbA1c and retinopathy screening over longer follow-up using generalised linear mixed effects model, adjusting for confounding factors.

RESULTS

Receipt of care during the first year was generally similar, or better, for people with each SMI than for people without any mental illness. During mean follow up of 4.8 (SD 2.5) years, depression and bipolar disorder were associated with lower odds of receiving retinopathy screening.

CONCLUSIONS

Receipt of diabetes care was similar or better among people with SMI versus without SMI. However, mechanisms to support improved retinopathy screening for people with SMI are needed.

Physical Healthcare, Health-Related Quality of Life and Global Functioning of Persons with a Severe Mental Illness in Belgian Long-Term Mental Health Assertive Outreach Teams: A Cross-Sectional Self-Reported Survey

Research shows that care delivery regarding somatic health problems for patients with a severe mental illness (SMI) in community and mental health is difficult to establish. During the last decade, long term mental health outreach teams in Belgium were implemented to provide treatment and follow-up at home. This study aimed to map physical health status, care professionals, health related quality of life and global functioning in persons with SMI in Belgian long term outreach teams for mental health. Using a self-administered questionnaire, 173 persons, 58.1% female with a mean age of 48.3, were questioned. Our findings suggest an undertreatment of somatic comorbid conditions, with only half of physical health complaints being addressed. Although treatment rates for hypertension, when detected were high, treatment of respiratory complaints, pain and fatigue was lacking. Although the majority of respondents responded to have a GP or psychiatrist, contact rates were rather limited. Other disciplines, such as primary care nurses, when present, tend to have more contact with people with SMI. Notably, having regular contacts with GPs seems to improve physical health complaints and/or treatment. Being treated by an outreach team did not show significant correlations with physical health complaints and/or treatment suggesting a more proactive approach by outreach teams or primary care providers is desirable.

Association of primary and community care services with emergency visits and hospital admissions at the end of life in people with cancer: a retrospective cohort study

OBJECTIVE

To examine the association between primary and community care use and measures of acute hospital use in people with cancer at the end of life.

DESIGN

Retrospective cohort study.

SETTING

We used Discover, a linked administrative and clinical data set from general practices, community and hospital records in North West London (UK).

PARTICIPANTS

People registered in general practices, with a diagnosis of cancer who died between 2016 and 2019.

PRIMARY AND SECONDARY OUTCOME MEASURES

≥3 hospital admissions during the last 90 days, ≥1 admissions in the last 30 days and ≥1 emergency department (ED) visit in the last 2 weeks of life.

RESULTS

Of 3581 people, 490 (13.7%) had ≥3 admissions in last 90 days, 1640 (45.8%) had ≥1 admission in the last 30 days, 1042 (28.6%) had ≥1 ED visits in the last 2 weeks; 1069 (29.9%) had more than one of these indicators. Contacts with community nurses in the last 3 months (≥13 vs <4) were associated with fewer admissions in the last 30 days (risk ratio (RR) 0.88, 95% CI 0.90 to 0.98) and ED visits in the last 2 weeks of life (RR 0.79, 95% CI 0.68 to 0.92). Contacts with general practitioners in the last 3 months (≥11 vs <4) was associated with higher risk of ≥3 admissions in the last 90 days (RR 1.63, 95% CI 1.33 to 1.99) and ED visits in the last 2 weeks of life (RR 1.27, 95% CI 1.10 to 1.47).

CONCLUSIONS

Expanding community nursing could reduce acute hospital use at the end of life and improve quality of care.

Identification of palliative care needs among people with dementia and its association with acute hospital care and community service use at the end-of-life: A retrospective cohort study using linked primary, community and secondary care data

BACKGROUND

Hospital admissions among people dying with dementia are common. It is not known whether identification of palliative care needs could help prevent unnecessary admissions.

AIM

To examine the proportion of people with dementia identified as having palliative care needs in their last year of life, and the association between identification of needs and primary, community and hospital services in the last 90 days.

DESIGN

Retrospective cohort study using Discover, an administrative and clinical dataset from 365 primary care practices in London with deterministic individual-level data linkage to community and hospital records.

SETTING/PARTICIPANTS

People diagnosed with dementia and registered with a general practitioner in North West London (UK) who died between 2016 and 2019. The primary outcome was multiple non-elective hospital admissions in the last 90 days of life. Secondary outcomes included contacts with primary and community care providers. We examined the association between identification of palliative care needs with outcomes.

RESULTS

Among 5804 decedents with dementia, 1953 (33.6%) were identified as having palliative care needs, including 1141 (19.7%) identified before the last 90 days of life. Identification of palliative care needs before the last 90 days was associated with a lower risk of multiple hospital admissions (Relative Risk 0.70, 95% CI 0.58-0.85) and more contacts with the primary care practice, community nurses and palliative care teams in the last 90 days.

CONCLUSIONS

Further investigation of the mechanisms underlying the association between identification of palliative care needs and reduced hospital admissions could help reduce reliance on acute care for this population.

Deployment of the consultation-liaison model in adult and child-adolescent psychiatry and its impact on improving mental health treatment

Background

Little information exists on the perceptions of psychiatrists regarding the implementation and various impacts of the consultation-liaison model. This model has been used in Quebec (Canada) through the function of specialist respondent-psychiatrists (SRP) since 2009. This study assessed the main activities, barriers or facilitators, and impact of SRP in adult and child-adolescent psychiatry on the capacity of service providers in primary care and youth centers to treat patients with mental health disorders (MHD).

Methods

Data included 126 self-administered questionnaires from SRP and semi-structured interviews from 48 SRP managers. Mixed methods were used, with qualitative findings from managers complementing the SRP survey. Comparative analyses of SRP responses in adult versus child-adolescent psychiatry were also conducted.

Results

Psychiatrists dedicated a median 24.12 h/month to the SRP function, mainly involving case discussions with primary care teams or youth centers. They were confident about the level of support they provided and satisfied with their influence in clinical decision-making, but less satisfied with the support provided by their organizations. SRP evaluated their impacts on clinical practice as moderate, particularly among general practitioners (GP). SRP working in child-adolescent psychiatry were more comfortable, motivated, and positive about their overall performance and impact than in adult psychiatry. Organizational barriers (e.g. team instability) were most prevalent, followed by system-level factors (e.g. network size and complexity, lack of resources, model inflexibility) and individual factors (e.g. GP reluctance to treat patients with MHD). Organizational facilitators included support from family medicine group directors, collaboration with university family medicine groups and coordination by liaison nurses; at the system level, pre-existing relationships and working in the same institution; while individual-level facilitators included SRP personality and strong organizational support.

Conclusion

Quebec SRP were implemented sparingly in family medicine groups and youth centers, while SRP viewed their overall impact as moderate. Results were more positive in child-adolescent psychiatry than in adult psychiatry. Increased support for the SRP function, adapting the model to GP in need of more direct support, and resolving key system issues may improve SRP effectiveness in terms of team stability, coordination among providers, access to MH services and readiness to implement innovations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-021-01437-5.

Primary care consultations after hospitalisation for pneumonia: a large population-based cohort study

BACKGROUND

Up to 70% of patients report ongoing symptoms 4 weeks after hospitalisation for pneumonia; the impact on primary care is poorly understood.

AIM

To investigate the frequency of primary care consultations after hospitalisation for pneumonia, and the reasons for consultation.

DESIGN AND SETTING

A population-based cohort study in England using a UK primary care database of anonymised medical records (Clinical Practice Research Datalink [CPRD]) linked to Hospital Episode Statistics (HES).

METHOD

Adults with the first International Classification of Diseases, 10th Revision (ICD-10) code for pneumonia (J12-J18) recorded in HES between July 2002 and June 2017 were included. Primary care consultation within 30 days of discharge was identified as the recording of any medical Read code (excluding administration-related codes) in CPRD. Competing-risks regression analyses were conducted to determine the predictors of consultation and antibiotic use at consultation; death and readmission were competing events. Reasons for consultation were examined.

RESULTS

Of 56 396 adults, 55.9% (n = 31 542) consulted primary care within 30 days of hospital discharge. The rate of consultation was highest within 7 days (4.7 per 100 person-days). The strongest predictor for consultation was a higher number of primary care consultations in the year before index admission (adjusted subhazard ratio [sHR] 8.98, 95% confidence interval [CI] = 6.42 to 12.55). The most common reason for consultation was for a respiratory disorder (40.7%, n = 12 840), 11.8% for pneumonia specifically. At consultation, 31.1% (n = 9823) received further antibiotics. Penicillins (41.6%, n = 5753/13 829) and macrolides (21.9%, n = 3029/13 829) were the most common antibiotics prescribed.

CONCLUSION

Following hospitalisation for pneumonia, a significant proportion of patients consulted primary care within 30 days, highlighting the morbidity experienced by patients during recovery from pneumonia.

Status of primary and secondary mental healthcare of people with severe mental illness: an epidemiological study from the UK PARTNERS2 programme

BACKGROUND

There is global interest in the reconfiguration of community mental health services, including primary care, to improve clinical and cost effectiveness.

AIMS

This study seeks to describe patterns of service use, continuity of care, health risks, physical healthcare monitoring and the balance between primary and secondary mental healthcare for people with severe mental illness in receipt of secondary mental healthcare in the UK.

METHOD

We conducted an epidemiological medical records review in three UK sites. We identified 297 cases randomly selected from the three participating mental health services. Data were manually extracted from electronic patient medical records from both secondary and primary care, for a 2-year period (2012-2014). Continuous data were summarised by mean and s.d. or median and interquartile range (IQR). Categorical data were summarised as percentages.

RESULTS

The majority of care was from secondary care practitioners: of the 18 210 direct contacts recorded, 76% were from secondary care (median, 36.5; IQR, 14-68) and 24% were from primary care (median, 10; IQR, 5-20). There was evidence of poor longitudinal continuity: in primary care, 31% of people had poor longitudinal continuity (Modified Modified Continuity Index ≤0.5), and 43% had a single named care coordinator in secondary care services over the 2 years.

CONCLUSIONS

The study indicates scope for improvement in supporting mental health service delivery in primary care. Greater knowledge of how care is organised presents an opportunity to ensure some rebalancing of the care that all people with severe mental illness receive, when they need it. A future publication will examine differences between the three sites that participated in this study.

Determinants of Physical Health Self-Management Behaviours in Adults With Serious Mental Illness: A Systematic Review

Behavioural interventions can support the adoption of healthier lifestyles and improve physical health outcomes, but it is unclear what factors might drive success of such interventions in people with serious mental illness (SMI). We systematically identified and reviewed evidence of the association between determinants of physical health self-management behaviours in adults with SMI. Data about American Association of Diabetes Educator's Self-Care Behaviours (AADE-7) were mapped against the novel Mechanisms of Action (MoA) framework. Twenty-eight studies were included in the review, reporting evidence on 104 determinant-behaviour links. Beliefs about capabilities and beliefs about consequences were the most important determinants of behaviour, especially for being physically active and healthy eating. There was some evidence that emotion and environmental context and resources played a role in determining reducing risks, being active, and taking medications. We found very limited evidence associated with problem solving, and no study assessed links between MoAs and healthy coping. Although the review predominantly identified evidence about associations from cross-sectional studies that lacked validated and objective measures of self-management behaviours, these findings can facilitate the identification of behaviour change techniques with hypothesised links to determinants to support self-management in people with SMI. Systematic Review Registration: PROSPERO, registration CRD42018099553.

Cardiovascular disease in patients with severe mental illness

Individuals diagnosed with schizophrenia or bipolar disorder have a life expectancy 15-20 years shorter than that in the general population. The rate of unnatural deaths, such as suicide and accidents, is high for these patients. Despite this increased proportion of unnatural deaths, physical conditions account for approximately 70% of deaths in patients with either schizophrenia or bipolar disorder, with cardiovascular disease contributing 17.4% and 22.0% to the reduction in overall life expectancy in men and women, respectively. Risk factors for cardiovascular disease, such as smoking, unhealthy diet and lack of exercise, are common in these patients, and lifestyle interventions have been shown to have small effects. Pharmacological interventions to reduce risk factors for cardiovascular disease have been proven to be effective. Treatment with antipsychotic drugs is associated with reduced mortality but also with an increased risk of weight gain, dyslipidaemia and diabetes mellitus. These patients have higher risks of both myocardial infarction and stroke but a lower risk of undergoing interventional procedures compared with the general population. Data indicate a negative attitude from clinicians working outside the mental health fields towards patients with severe mental illness. Education might be a possible method to decrease the negative attitudes towards these patients, thereby improving their rates of diagnosis and treatment.

Severe mental illness and health service utilisation for nonpsychiatric medical disorders: A systematic review and meta-analysis

BACKGROUND

Psychiatric comorbidity is known to impact upon use of nonpsychiatric health services. The aim of this systematic review and meta-analysis was to assess the specific impact of severe mental illness (SMI) on the use of inpatient, emergency, and primary care services for nonpsychiatric medical disorders.

METHODS AND FINDINGS

PubMed, Web of Science, PsychINFO, EMBASE, and The Cochrane Library were searched for relevant studies up to October 2018. An updated search was carried out up to the end of February 2020. Studies were included if they assessed the impact of SMI on nonpsychiatric inpatient, emergency, and primary care service use in adults. Study designs eligible for review included observational cohort and case-control studies and randomised controlled trials. Random-effects meta-analyses of the effect of SMI on inpatient admissions, length of hospital stay, 30-day hospital readmission rates, and emergency department use were performed. This review protocol is registered in PROSPERO (CRD42019119516). Seventy-four studies were eligible for review. All were observational cohort or case-control studies carried out in high-income countries. Sample sizes ranged from 27 to 10,777,210. Study quality was assessed using the Newcastle-Ottawa Scale for observational studies. The majority of studies (n = 45) were deemed to be of good quality. Narrative analysis showed that SMI led to increases in use of inpatient, emergency, and primary care services. Meta-analyses revealed that patients with SMI were more likely to be admitted as nonpsychiatric inpatients (pooled odds ratio [OR] = 1.84, 95% confidence interval [CI] 1.21-2.80, p = 0.005, I2 = 100%), had hospital stays that were increased by 0.59 days (pooled standardised mean difference = 0.59 days, 95% CI 0.36-0.83, p < 0.001, I2 = 100%), were more likely to be readmitted to hospital within 30 days (pooled OR = 1.37, 95% CI 1.28-1.47, p < 0.001, I2 = 83%), and were more likely to attend the emergency department (pooled OR = 1.97, 95% CI 1.41-2.76, p < 0.001, I2 = 99%) compared to patients without SMI. Study limitations include considerable heterogeneity across studies, meaning that results of meta-analyses should be interpreted with caution, and the fact that it was not always possible to determine whether service use outcomes definitively excluded mental health treatment.

CONCLUSIONS

In this study, we found that SMI impacts significantly upon the use of nonpsychiatric health services. Illustrating and quantifying this helps to build a case for and guide the delivery of system-wide integration of mental and physical health services.

Prevalence of maternal mental illness among children and adolescents in the UK between 2005 and 2017: a national retrospective cohort analysis

Background

Little information exists about the prevalence of children exposed to maternal mental illness. We aimed to estimate the prevalence of children and adolescents exposed to maternal mental illness in the UK between 2005 and 2017 using primary care data.

Methods

In this national retrospective cohort study, we included children aged 0–16 years born between Jan 1, 1991, and Dec 31, 2015, who were linked to their mothers and registered on the primary care Clinical Practice Research Datalink (CPRD) between 2005 and 2017. We extracted data on diagnosis, symptoms, and therapy from the CRPD to define the following maternal mental illnesses: depression, anxiety, non-affective psychosis, affective psychosis, eating disorders, personality disorders, alcohol misuse disorder, and substance misuse disorder. We also extracted data on socioeconomic status from the Index of Multiple Deprivation 2010 and data on ethnicity from the Hospital Episode Statistics dataset. The main outcome was prevalence of maternal mental illness. Prevalence was calculated for each 2-year period of childhood (from age 0–<2 to 14–<16 years) using marginal predictions from a logistic regression model. We used survival analysis to estimate the incidence and cumulative risk of children experiencing maternal mental illness by age 16 years.

Findings

We identified 783 710 children registered in the UK CPRD mother-baby link database, and included 547 747 children (381 685 mothers) in our analysis. Overall prevalence of maternal mental illness was 23·2% (95% CI 23·1–23·4), which increased during childhood (21·9%, 21·7–22·1 among the 0–<2 year age group vs 27·3%, 26·8–27·8 among the 14–<16 year age group). Depression and anxiety were the most prevalent maternal mental illnesses. The proportion of children exposed to maternal mental illness increased from 22·2% (21·9–22·4) between 2005 and 2007 to 25·1% (24·8–25·5) between 2015 and 2017. Geographically, the highest prevalence of maternal mental illness was observed in Northern Ireland (29·8%, 29·0–30·5). In England, prevalence of maternal mental illness was highest among children in the most deprived areas (28·3%, 27·8–28·8). The incidence of maternal mental illness was highest between 0–3 months (26·7 per 100 person years, 26·4–27·1). By age 16 years, the cumulative risk of maternal mental illness was 53·1% (52·8–53·3).

Interpretation

One in four children aged 0–16 years are exposed to maternal mental illness and the prevalence of diagnosed and treated maternal mental illness is increasing. Policy makers and commissioners should consider this information and channel resources to target individuals in greatest need.

Funding

The European Research Council and the National Institute for Health Research.

The association between primary care quality and health-care use, costs and outcomes for people with serious mental illness: a retrospective observational study

Background

Serious mental illness, including schizophrenia, bipolar disorder and other psychoses, is linked with high disease burden, poor outcomes, high treatment costs and lower life expectancy. In the UK, most people with serious mental illness are treated in primary care by general practitioners, who are financially incentivised to meet quality targets for patients with chronic conditions, including serious mental illness, under the Quality and Outcomes Framework. The Quality and Outcomes Framework, however, omits important aspects of quality.

Objectives

We examined whether or not better quality of primary care for people with serious mental illness improved a range of outcomes.

Design and setting

We used administrative data from English primary care practices that contribute to the Clinical Practice Research Datalink GOLD database, linked to Hospital Episode Statistics, accident and emergency attendances, Office for National Statistics mortality data and community mental health records in the Mental Health Minimum Data Set. We used survival analysis to estimate whether or not selected quality indicators affect the time until patients experience an outcome.

Participants

Four cohorts of people with serious mental illness, depending on the outcomes examined and inclusion criteria.

Interventions

Quality of care was measured with (1) Quality and Outcomes Framework indicators (care plans and annual physical reviews) and (2) non-Quality and Outcomes Framework indicators identified through a systematic review (antipsychotic polypharmacy and continuity of care provided by general practitioners).

Main outcome measures

Several outcomes were examined: emergency admissions for serious mental illness and ambulatory care sensitive conditions; all unplanned admissions; accident and emergency attendances; mortality; re-entry into specialist mental health services; and costs attributed to primary, secondary and community mental health care.

Results

Care plans were associated with lower risk of accident and emergency attendance (hazard ratio 0.74, 95% confidence interval 0.69 to 0.80), serious mental illness admission (hazard ratio 0.67, 95% confidence interval 0.59 to 0.75), ambulatory care sensitive condition admission (hazard ratio 0.73, 95% confidence interval 0.64 to 0.83), and lower overall health-care (£53), primary care (£9), hospital (£26) and mental health-care costs (£12). Annual reviews were associated with reduced risk of accident and emergency attendance (hazard ratio 0.80, 95% confidence interval 0.76 to 0.85), serious mental illness admission (hazard ratio 0.75, 95% confidence interval 0.67 to 0.84), ambulatory care sensitive condition admission (hazard ratio 0.76, 95% confidence interval 0.67 to 0.87), and lower overall health-care (£34), primary care (£9) and mental health-care costs (£30). Higher general practitioner continuity was associated with lower risk of accident and emergency presentation (hazard ratio 0.89, 95% confidence interval 0.83 to 0.97) and ambulatory care sensitive condition admission (hazard ratio 0.77, 95% confidence interval 0.65 to 0.92), but not with serious mental illness admission. High continuity was associated with lower primary care costs (£3). Antipsychotic polypharmacy was not statistically significantly associated with the risk of unplanned admission, death or accident and emergency presentation. None of the quality measures was statistically significantly associated with risk of re-entry into specialist mental health care.

Limitations

There is risk of bias from unobserved factors. To mitigate this, we controlled for observed patient characteristics at baseline and adjusted for the influence of time-invariant unobserved patient differences.

Conclusions

Better performance on Quality and Outcomes Framework measures and continuity of care are associated with better outcomes and lower resource utilisation, and could generate moderate cost savings.

Future work

Future research should examine the impact of primary care quality on measures that capture broader aspects of health and functioning.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 25. See the NIHR Journals Library website for further project information.

Prevalence and distribution of psychological diagnoses and related frequency of consultations in Norwegian urban general practice

Objective: To investigate the prevalence and distribution of psychological diagnoses made by general practitioners (GPs) in urban general practice and the related frequency of consultations during 12 consecutive months in Norwegian general practice.Design: A cross-sectional study with data extracted from 16,845 electronic patient records in 35 urban GP practicesSetting: Six GP group practices in Groruddalen, Norway.Subjects: All patients aged 16-65 with a registered contact with a GP during 12 months in 2015.Main outcome measures: Frequency and distribution of psychological diagnoses made by GPs, and the number of patients' consultations.Results: GPs made a psychological diagnosis in 18.8% of the patients. The main diagnostic categories were depression symptoms or disorder, acute stress reaction, anxiety symptoms or disorder and sleep disorder, accounting for 67.1% of all psychological diagnoses given. The mean number of consultations for all patients was 4.09 (95% CI: 4.03, 4.14). The mean number of consultations for patients with a psychological diagnosis was 6.40 (95% CI: 6.22, 6.58) compared to 3.55 (95% CI 3.50, 3.51) (p<0.01) for patients without such a diagnosis. Seven percent of the diagnostic variation was due to differences among GPs.Conclusions: Psychological diagnoses are frequent in urban general practice, but they are covered using rather few diagnostic categories. Patients with psychological diagnoses had a significantly higher mean number of GP consultations regardless of age and sex.Implications: The knowledge of the burden of psychological health problems in general practice must be strengthened to define evidence-based approaches for detecting, diagnosing and treating mental disorders in the general practice population.Key PointsEighteen percent of patients aged 16-65 in our study of patients in urban general practice received one or more psychological diagnoses in 12 months.Depression was the most common diagnosis; followed by acute stress reaction, anxiety and sleep disturbance.Patients with psychological diagnoses had a significantly higher mean number of consultations compared to patients without such diagnoses regardless of age and sex.

Cost-effectiveness of psychological treatments for post-traumatic stress disorder in adults

BACKGROUND

Post-traumatic stress disorder (PTSD) is a severe and disabling condition that may lead to functional impairment and reduced productivity. Psychological interventions have been shown to be effective in its management. The objective of this study was to assess the cost-effectiveness of a range of interventions for adults with PTSD.

METHODS

A decision-analytic model was constructed to compare costs and quality-adjusted life-years (QALYs) of 10 interventions and no treatment for adults with PTSD, from the perspective of the National Health Service and personal social services in England. Effectiveness data were derived from a systematic review and network meta-analysis. Other model input parameters were based on published sources, supplemented by expert opinion.

RESULTS

Eye movement desensitisation and reprocessing (EMDR) appeared to be the most cost-effective intervention for adults with PTSD (with a probability of 0.34 amongst the 11 evaluated options at a cost-effectiveness threshold of £20,000/QALY), followed by combined somatic/cognitive therapies, self-help with support, psychoeducation, selective serotonin reuptake inhibitors (SSRIs), trauma-focused cognitive behavioural therapy (TF-CBT), self-help without support, non-TF-CBT and combined TF-CBT/SSRIs. Counselling appeared to be less cost-effective than no treatment. TF-CBT had the largest evidence base.

CONCLUSIONS

A number of interventions appear to be cost-effective for the management of PTSD in adults. EMDR appears to be the most cost-effective amongst them. TF-CBT has the largest evidence base. There remains a need for well-conducted studies that examine the long-term clinical and cost-effectiveness of a range of treatments for adults with PTSD.

Primary care reform and funding equity for mental health disorders in Ontario: a retrospective observational population-based study

BACKGROUND

Mental health disorders are associated with high morbidity and reduced life expectancy, and are largely managed in primary care. We sought to assess the equity of distribution of new alternative payment models and teams introduced under primary care reform in Ontario for patients with mental health disorders.

METHODS

We conducted a retrospective observational study using population-level administrative data for insured Ontario adults (age ≥ 18 yr) to identify all primary care payments to physicians that were allocated to individual patients in 2002/03 and 2011/12. We identified patients with mental health disorders using validated algorithms, and modelled the relations between per capita primary care costs and mental health disorders over time, stratified by type of mental health or substance use disorder and type of primary care payment. In an adjusted model, we adjusted for age, sex, rurality, neighbourhood income quintile, immigrant status, comorbidity and primary care model. For comparative purposes, we also examined the distribution of primary care payments for people with diabetes mellitus.

RESULTS

Total per capita primary care payments increased more slowly over the study period for patients with mental health disorders (62.0%) than for the general population (88.3%). Total payments for patients with substance use disorders increased by 142.7%, largely owing to urine drug testing in opioid substitution clinics. Adjusted total payments for those with versus without mental health disorders decreased by 10% between 2002/03 and 2011/12, driven by lower alternative payments. Similar decreases, also driven by lower alternative payments, were found for all mental health disorder subgroups except substance use and for diabetes.

INTERPRETATION

Payment and team reforms were associated with inequitable resource allocation to people with mental health disorders. The findings suggest the need for monitoring reforms for their impact on high-needs populations and making appropriate adjustments.

Prevalence of mental illness in primary care and its association with deprivation and social fragmentation at the small-area level in England

BACKGROUND

We aimed to spatially describe mental illness prevalence in England at small-area geographical level, as measured by prevalence of depression, severe mental illness (SMI) and antidepressant prescription volume in primary care records, and how much of their variation was explained by deprivation, social fragmentation and sociodemographic characteristics.

METHODS

Information on prevalence of depression and SMI was obtained from the Quality and Outcomes Framework (QOF) administrative dataset for 2015/16 and the national dispensing dataset for 2015/16. Linear regression models were fitted to examine ecological associations between deprivation, social fragmentation, other sociodemographic characteristics and mental illness prevalence.

RESULTS

Mental illness prevalence varied within and between regions, with clusters of high prevalence identified across England. Our models explained 33.4-68.2% of variability in prevalence, but substantial variability between regions remained after adjusting for covariates. People in socially cohesive and socially deprived areas were more likely to be diagnosed with depression, while people in more socially fragmented and more socially deprived areas were more likely to be diagnosed with SMI.

CONCLUSIONS

Our findings suggest that to tackle mental health inequalities, attention needs to be targeted at more socially deprived localities. The role of social fragmentation warrants further investigation, and it is possible that depression remains undiagnosed in more socially fragmented areas. The wealth of routinely collected data can provide robust evidence to aid optimal resource allocation. If comparable data are available in other countries, similar methods could be deployed to identify high prevalence clusters and target funding to areas of greater need.

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.

Physical Healthcare of People with Serious Mental Illness: A Cross-Sectional Study of Nurses' Involvement, Views, and Current Practices

Background: Based on the poor physical health and unhealthy lifestyle behaviors, people with serious mental illness (SMI) have a high risk for long-term disorders such as diabetes, cardiovascular and respiratory diseases. Aims: This study examined nurses' current practices and views regarding the physical health of people with SMI. Methods: Cross-sectional study was conducted among nurses working in acute wards in large mental health hospital in Istanbul, Turkey. Convenience sample of 184 nurses agreed to participate in the study. Data collection was based on the self-reported responses. Descriptive statistics and comparison tests were used to describe the sample's characteristics and identify associations amongst the participants' characteristics. Findings: The results showed that nurses considered the patients' physical health important, particularly female nurses. Monitoring blood pressure, assessing physical health status at admission, and helping self-care needs were common practices. Believing in the importance of physical health was correlated with high knowledge and self-confidence levels in delivery of physical healthcare. Discussion: These findings are useful for implementing integrated nursing care in acute psychiatric care and improving patients' mental and physical well-being.

Workload impact of the Quality and Outcomes Framework for patients with diabetes: an interrupted time series in general practice

BACKGROUND

There are substantial concerns about GP workload. The Quality and Outcomes Framework (QOF) has been perceived by both professionals and patients as bureaucratic, but the full impact of the QOF on GP workload is not well known.

AIM

To assess the impact of the QOF on GP consultation rates for patients with diabetes mellitus.

DESIGN AND SETTING

This study used interrupted time series of 13 248 745 general practice consultations for 37 065 patients with diabetes mellitus in England.

METHOD

Clinical Practice Research Datalink general practice data were used from 2000/2001 to 2014/2015, with introduction of the QOF (1 April 2004) as the intervention, and mean annual GP consultation rates as the primary outcome.

RESULTS

Mean annual GP clinical consultation rates were 8.10 per patient in 2000/2001, 6.91 in 2004/2005, and 7.09 in 2014/2015. Introduction of the QOF was associated with an annual change in the trend of GP clinical consultation rates of 0.46 (95% confidence interval [CI] = 0.23 to 0.69, P = 0.001) consultations per patient, giving a post-QOF trend increasing by 0.018 consultations per year. Introduction of the QOF was associated with an immediate stepped increase of 'other' out-of-hours and non-clinical encounters, and trend change of 0.57 (95% CI = 0.34 to 0.81, P<0.001) per year, resulting in a post-QOF trend increasing by 0.27 other encounters per year.

CONCLUSION

Introduction of the QOF was associated with a modest increase in clinical GP consultation rates and substantial increase in other encounters for patients with diabetes independent of changes in diabetes prevalence. National prevalence of diabetes increased by 90.7% from 2004/2005 to 2014/2015, which, combined with this study's findings, means GPs would have provided nearly double the number of consultations for patients with diabetes over this timescale.

Undiagnosed cardiovascular disease prior to cardiovascular death in individuals with severe mental illness

OBJECTIVE

To examine whether individuals with schizophrenia (SCZ) or bipolar disorder (BD) had equal likelihood of not being diagnosed with cardiovascular disease (CVD) prior to cardiovascular death, compared to individuals without SCZ or BD.

METHODS

Multivariate logistic regression analysis including nationwide data of 72 451 cardiovascular deaths in the years 2011-2016. Of these, 814 had a SCZ diagnosis and 673 a BD diagnosis in primary or specialist health care.

RESULTS

Individuals with SCZ were 66% more likely (OR: 1.66; 95% CI: 1.39-1.98), women with BD were 38% more likely (adjusted OR: 1.38; 95% CI: 1.04-1.82), and men with BD were equally likely (OR: 0.88, 95% CI: 0.63-1.24) not to be diagnosed with CVD prior to cardiovascular death, compared to individuals without SMI. Almost all (98%) individuals with SMI and undiagnosed CVD had visited primary or specialized somatic health care prior to death, compared to 88% among the other individuals who died of CVD.

CONCLUSION

Individuals with SCZ and women with BD are more likely to die due to undiagnosed CVD, despite increased risk of CVD and many contacts with primary and specialized somatic care. Strengthened efforts to prevent, recognize, and treat CVD in individuals with SMI from young age are needed.

Multi-trajectories of antidepressant and antipsychotic use: a 11-year naturalistic study in a community-based sample

OBJECTIVE

To explore the temporal dynamic of antidepressant and antipsychotic co-prescribing in real-life conditions.

METHODS

The study was performed using reimbursement data from the French Insurance Healthcare system in a cohort of 118 454 persons with at least one dispensing of antidepressants and/or antipsychotics over the period 2006-2016. Latent class analyses were used to identify homogeneous groups of persons following similar multi-trajectories of antidepressant and/or antipsychotic dispensing. Multivariate polynomial logistic regression models were used to explore the characteristics independently associated with distinct trajectories.

RESULTS

Five multi-trajectories of antidepressant and/or antipsychotic dispensing were identified: more than half of the sample (58%) had very low antidepressant and antipsychotic use; two groups had chronic (12%) or decreasing (11%) antidepressant use with very low antipsychotic use; two groups used both antidepressants and antipsychotics simultaneously either in an increasing (12%) or chronic (7%) way. Persons with chronic antidepressant-antipsychotic use presented with markers of poor social and mental health conditions.

CONCLUSIONS

Most persons using antipsychotics over the follow-up also used antidepressants over the same period. The benefit/risk ratio of these prescribing practices should be further explored as the long-term efficacy of antidepressant-antipsychotic polypharmacy is poorly documented, while this combination increases the risk of adverse effects.

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.

Attitudes of Italian Psychiatrists Toward the Evaluation of Physical Comorbidities and Sexual Dysfunction in Patients With Schizophrenia. Implications for Clinical Practice

Treatment guidelines for patients with schizophrenia recommend evaluating their risk of physical comorbidities, especially since these patients are known to have decreased life expectancy due to comorbidities. Therefore, to the authors' knowledge, this is the first national survey conducted to investigate how Italian psychiatrists deal with the risk of physical comorbidities and sexual dysfunction in patients with schizophrenia. A sample of 750 psychiatrists completed an ad hoc online survey investigating their decision making about performing blood tests, clinical and instrumental examinations, and scheduling follow-up appointments in relation to the different phases of the illness and possible pharmacological side effects. Compared to patients in therapeutic continuation, those diagnosed for the first time and those who received a therapeutic change were visited more frequently (every 15 to 17 days vs. every 40 days, respectively), and were more regularly prescribed blood tests and instrumental examinations (every 4.2 to 4.4 months vs. every 9 months, respectively). There was a high interest in the surveillance of cardiometabolic risk. In 54% of patients, prolactin testing was not requested before starting an antipsychotic. In terms of specialist referrals, only 5% of surveyed psychiatrists "never" sought for additional counseling. There was little attention given to sexual functioning assessment based on the survey results about patients' daily life and with regard to deciding to prescribe additional examinations. In fact, only up to 3% of psychiatrists reported assessing sexual functioning using specific psychometric tests. In summary, Italian psychiatrists describes themselves as careful healthcare providers for the physical illnesses of patients with schizophrenia but with several shortcomings. For instance, clinical attention toward patients' sexual and reproductive healthcare needs remains a challenge. Psychiatrists should take the lead for the integrated education, assessment, and care of medical needs of their patients with mental illness. Based on the results of this survey, the authors also believe that a future challenge for the management of patients with mental illness will be the classification of patients based on their risk of comorbidities, to help ensure optimal healthcare provision for those at greater risk of other illnesses.

The use of controls in interrupted time series studies of public health interventions

Interrupted time series analysis differs from most other intervention study designs in that it involves a before-after comparison within a single population, rather than a comparison with a control group. This has the advantage that selection bias and confounding due to between-group differences are limited. However, the basic interrupted time series design cannot exclude confounding due to co-interventions or other events occurring around the time of the intervention. One approach to minimizse potential confounding from such simultaneous events is to add a control series so that there is both a before-after comparison and an intervention-control group comparison. A range of different types of controls can be used with interrupted time series designs, each of which has associated strengths and limitations. Researchers undertaking controlled interrupted time series studies should carefully consider a priori what confounding events may exist and whether different controls can exclude these or if they could introduce new sources of bias to the study. A prudent approach to the design, analysis and interpretation of controlled interrupted time series studies is required to ensure that valid information on the effectiveness of health interventions can be ascertained.

Association between a national primary care pay-for-performance scheme and suicide rates in England: spatial cohort study

BACKGROUND

Pay-for-performance policies aim to improve population health by incentivising improvements in quality of care.AimsTo assess the relationship between general practice performance on severe mental illness (SMI) and depression indicators under a national incentivisation scheme and suicide risk in England for the period 2006-2014.

METHOD

Longitudinal spatial analysis for 32 844 small-area geographical units (lower super output areas, LSOAs), using population-structure adjusted numbers of suicide as the outcome variable. Negative binomial models were fitted to investigate the relationship between spatially estimated recorded quality of care and suicide risk at the LSOA level. Incidence rate ratios (IRRs) were adjusted for deprivation, social fragmentation, prevalence of depression and SMI as well as other 2011 Census variables.

RESULTS

No association was found between practice performance on the mental health indicators and suicide incidence in practice localities (IRR=1.000, 95% CI 0.998-1.002). IRRs indicated elevated suicide risks linked with area-level social fragmentation (1.030; 95% CI 1.027-1.034), deprivation (1.013, 95% CI 1.012-1.014) and rurality (1.059, 95% CI 1.027-1.092).

CONCLUSIONS

Primary care has an important role to play in suicide prevention, but we did not observe a link between practices' higher reported quality of care on incentivised mental health activities and lower suicide rates in the local population. It is likely that effective suicide prevention needs a more concerted, multiagency approach. Better training in suicide prevention for general practitioners is also essential. These findings pertain to the UK but have relevance to other countries considering similar programmes.Declaration of interestNone.

Factors associated with consultation rates in general practice in England, 2013-2014: a cross-sectional study

Background

Workload in general practice has risen during the last decade, but the factors associated with this increase are unclear.

Aim

To examine factors associated with consultation rates in general practice.

Design and setting

A cross-sectional study examining a sample of 304 937 patients registered at 316 English practices between 2013 and 2014, drawn from the Clinical Practice Research Datalink.

Method

Age, sex, ethnicity, smoking status, and deprivation measures were linked with practice-level data on staffing, rurality, training practice status, and Quality and Outcomes Framework performance. Multilevel analyses of patient consultation rates were conducted.

Results

Consultations were grouped into three types: all (GP or nurse), GP, and nurse. Non-smokers consulted less than current smokers (all: rate ratio [RR] = 0.88, 95% CI = 0.87 to 0.89; GP: RR = 0.88, 95% CI = 0.87 to 0.89; nurse: RR = 0.91, 95% CI = 0.90 to 0.92). Consultation rates were higher for those in the most deprived quintile compared with the least deprived quintile (all: RR = 1.18, 95% CI = 1.16 to 1.19; GP: RR = 1.17, 95% CI = 1.15 to 1.19; nurse: RR = 1.13, 95% CI = 1.11 to 1.15). For all three consultation types, consultation rates increased with age and female sex, and varied by ethnicity. Rates in practices with >8 and ≤19 full-time equivalent (FTE) GPs were higher compared with those with ≤2 FTE GPs (all: RR = 1.26, 95% CI = 1.06 to 1.49; GP: RR = 1.36, 95% CI = 1.19 to 1.56).

Conclusion

The analyses show consistent trends in factors related to consultation rates in general practice across three types of consultation. These data can be used to inform the development of more sophisticated staffing models, and resource allocation formulae.

Can granulomatosis with polyangiitis be diagnosed earlier in primary care? A case-control study

BACKGROUND

People with granulomatosis with polyangiitis (GPA) commonly described long delays before diagnosis.

AIM

To study the natural history of GPA prior to diagnosis using primary care data, and determine whether clinical features could be identified to help earlier diagnosis.

DESIGN

Case-control study using the Clinical Practice Research Datalink.

METHODS

We compared primary care activity and clinical features between cases and 10 matched controls.

RESULTS

We identified 757 cases and matched 7546 controls. Compared to controls, cases had more GP consultations and overall healthcare activity in the 5 years prior to their diagnosis, with a marked increase in the year before diagnosis, and particularly in the last 3 months. However, consultations were mostly for symptoms that were not specifically related to GPA. In the year prior to diagnosis, the most frequent and strongly predictive clinical features of GPA were Ear Nose and Throat (ENT) symptoms [34.5% of cases, odds ratio (OR) 10.5, 95% confidence intervals (CI) 8.6-12.7], and general (constitutional) symptoms (21.5% of cases, OR 9.0, 95% CI 7.1-11.3). In the year before diagnosis a larger number of cases attended secondary care (382, 50.5%) than had records of clinical features of GPA.

CONCLUSIONS

After discussing our findings, we conclude that it would be difficult to identify cases of GPA earlier in primary care. Our results support a need for heightened awareness of this condition among secondary care clinicians, especially those assessing emergency admissions, and in the clinics which were most frequently attended by cases 3-12 months prior to diagnosis.

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.

Financial incentives improve recognition but not treatment of cardiovascular risk factors in severe mental illness

Objectives

Severe mental illness (SMI) is associated with premature cardiovascular disease, prompting the UK primary care payment-for-performance system (Quality and Outcomes Framework, QOF) to incentivise annual physical health reviews. This study aimed to assess the QOF’s impact on detection and treatment of cardiovascular risk factors in people with SMI.

Methods

A retrospective open cohort study of UK general practice was conducted between 1996 and 2014, using segmented logistic regression with 2004 and 2011 as break points, reflecting the introduction of relevant QOF incentives in these years. 67239 SMI cases and 359951 randomly-selected unmatched controls were extracted from the Clinical Practice Research Datalink (CPRD).

Results

There was strong evidence (p≤0.015) the 2004 QOF indicator (general health) resulted in an immediate increase in recording of elevated cholesterol (odds ratio 1.37 (95% confidence interval 1.24 to 1.51)); obesity (OR 1.21 (1.06 to 1.38)); and hypertension (OR 1.19 (1.04 to 1.38)) in the SMI group compared with the control group, which was sustained in subsequent years. Similar findings were found for diabetes, although the evidence was weaker (p = 0.059; OR 1.21 (0.99 to 1.49)). There was evidence (p<0.001) of a further, but unsustained, increase in recording of elevated cholesterol and obesity in the SMI group following the 2011 QOF indicator (cardiovascular specific). There was no clear evidence that the QOF indicators affected the prescribing of lipid modifying medications or anti-diabetic medications.

Conclusion

Incentivising general physical health review for SMI improves identification of cardiovascular risk factors, although the additional value of specifically incentivising cardiovascular risk factor assessment is unclear. However, incentives do not affect pharmacological management of these risks.

Algorithm linking patients and general practices in Denmark using the Danish National Health Service Register

Background

The patient list system in Denmark assigns virtually all residents to a general practice. Nevertheless, historical information on this link between patient and general practice is not readily available for research purposes.

Objectives

To develop, implement, and evaluate the performance of an algorithm linking individual patients to their general practice by using information from the Danish National Health Service Register and the Danish Civil Registration System.

Materials and methods

The National Health Service Register contains information on all services provided by general practitioners from 1990 and onward. On the basis of these data and information on migration history and death obtained from the Civil Registration System, we developed an algorithm that allocated patients to a general practice on a monthly basis. We evaluated the performance of the algorithm between 2002 and 2007. During this time period, we had access to information on the link between patients and general practices. Agreement was assessed by the proportion of months for which the algorithm allocated patients to the correct general practice. We also assessed the proportion of all patients in the patient list system for which the algorithm was able to suggest an allocation.

Results

The overall agreement between algorithm and patient lists was 98.6%. We found slightly higher agreement for women (98.8%) than for men (98.4%) and lower agreement in the age group 18–34 years (97.1%) compared to all other age groups (≥98.6%). The algorithm had assigned 83% of all patients in the patient list system after 1 year of follow-up, 91% after 2 years of follow-up, and peaked at 94% during the fourth year.

Conclusion

We developed an algorithm that enables valid and nearly complete linkage between patients and general practices. The algorithm performs better in subgroups of patients with high health care needs. The algorithm constitutes a valuable tool for primary health care research.

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.

Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink

Background

The use of Electronic Health Records databases for medical research has become mainstream. In the UK, increasing use of Primary Care Databases is largely driven by almost complete computerisation and uniform standards within the National Health Service. Electronic Health Records research often begins with the development of a list of clinical codes with which to identify cases with a specific condition. We present a methodology and accompanying Stata and R commands (pcdsearch/Rpcdsearch) to help researchers in this task. We present severe mental illness as an example.

Methods

We used the Clinical Practice Research Datalink, a UK Primary Care Database in which clinical information is largely organised using Read codes, a hierarchical clinical coding system. Pcdsearch is used to identify potentially relevant clinical codes and/or product codes from word-stubs and code-stubs suggested by clinicians. The returned code-lists are reviewed and codes relevant to the condition of interest are selected. The final code-list is then used to identify patients.

Results

We identified 270 Read codes linked to SMI and used them to identify cases in the database. We observed that our approach identified cases that would have been missed with a simpler approach using SMI registers defined within the UK Quality and Outcomes Framework.

Conclusion

We described a framework for researchers of Electronic Health Records databases, for identifying patients with a particular condition or matching certain clinical criteria. The method is invariant to coding system or database and can be used with SNOMED CT, ICD or other medical classification code-lists.

Inequalities in physical comorbidity: a longitudinal comparative cohort study of people with severe mental illness in the UK

OBJECTIVES

Little is known about the prevalence of comorbidity rates in people with severe mental illness (SMI) in UK primary care. We calculated the prevalence of SMI by UK country, English region and deprivation quintile, antipsychotic and antidepressant medication prescription rates for people with SMI, and prevalence rates of common comorbidities in people with SMI compared with people without SMI.

DESIGN

Retrospective cohort study from 2000 to 2012.

SETTING

627 general practices contributing to the Clinical Practice Research Datalink, a UK primary care database.

PARTICIPANTS

Each identified case (346,551) was matched for age, sex and general practice with 5 randomly selected control cases (1,732,755) with no diagnosis of SMI in each yearly time point.

OUTCOME MEASURES

Prevalence rates were calculated for 16 conditions.

RESULTS

SMI rates were highest in Scotland and in more deprived areas. Rates increased in England, Wales and Northern Ireland over time, with the largest increase in Northern Ireland (0.48% in 2000/2001 to 0.69% in 2011/2012). Annual prevalence rates of all conditions were higher in people with SMI compared with those without SMI. The discrepancy between the prevalence of those with and without SMI increased over time for most conditions. A greater increase in the mean number of additional conditions was observed in the SMI population over the study period (0.6 in 2000/2001 to 1.0 in 2011/2012) compared with those without SMI (0.5 in 2000/2001 to 0.6 in 2011/2012). For both groups, most conditions were more prevalent in more deprived areas, whereas for the SMI group conditions such as hypothyroidism, chronic kidney disease and cancer were more prevalent in more affluent areas.

CONCLUSIONS

Our findings highlight the health inequalities faced by people with SMI. The provision of appropriate timely health prevention, promotion and monitoring activities to reduce these health inequalities are needed, especially in deprived areas.