Demographic variation in fit note receipt and long-term conditions in south London

Shared goals for mental health research: what, why and when for the 2020s

Mental health problems bring substantial individual, community and societal costs and the need for innovation to promote good mental health and to prevent and treat mental health problems has never been greater. However, we know that research findings can take up to 20 years to implement. One way to push the pace is to focus researchers and funders on shared, specific goals and targets. We describe a consultation process organised by the Department of Health and Social Care and convened by the Chief Medical Officer to consider high level goals for future research efforts and to begin to identify UK-specific targets to measure research impact. The process took account of new scientific methods and evidence, the UK context with a universal health care system (the NHS) and the embedded research support from the National Institute for Health Research Clinical Research Network, as well as the views of individual service users and service user organisations. The result of the consultation is a set of four overarching goals with the potential to be measured at intervals of three, five or ten years.

Multimorbidity clusters among people with serious mental illness: a representative primary and secondary data linkage cohort study

BACKGROUND

People with serious mental illness (SMI) experience higher mortality partially attributable to higher long-term condition (LTC) prevalence. However, little is known about multiple LTCs (MLTCs) clustering in this population.

METHODS

People from South London with SMI and two or more existing LTCs aged 18+ at diagnosis were included using linked primary and mental healthcare records, 2012-2020. Latent class analysis (LCA) determined MLTC classes and multinominal logistic regression examined associations between demographic/clinical characteristics and latent class membership.

RESULTS

The sample included 1924 patients (mean (s.d.) age 48.2 (17.3) years). Five latent classes were identified: 'substance related' (24.9%), 'atopic' (24.2%), 'pure affective' (30.4%), 'cardiovascular' (14.1%), and 'complex multimorbidity' (6.4%). Patients had on average 7-9 LTCs in each cluster. Males were at increased odds of MLTCs in all four clusters, compared to the 'pure affective'. Compared to the largest cluster ('pure affective'), the 'substance related' and the 'atopic' clusters were younger [odds ratios (OR) per year increase 0.99 (95% CI 0.98-1.00) and 0.96 (0.95-0.97) respectively], and the 'cardiovascular' and 'complex multimorbidity' clusters were older (ORs 1.09 (1.07-1.10) and 1.16 (1.14-1.18) respectively). The 'substance related' cluster was more likely to be White, the 'cardiovascular' cluster more likely to be Black (compared to White; OR 1.75, 95% CI 1.10-2.79), and both more likely to have schizophrenia, compared to other clusters.

CONCLUSION

The current study identified five latent class MLTC clusters among patients with SMI. An integrated care model for treating MLTCs in this population is recommended to improve multimorbidity care.

Primary Care Physicians' Learning Needs in Returning Ill or Injured Workers to Work. A Scoping Review

Primary care physicians are uniquely positioned to assist ill and injured workers to stay-at-work or to return-to-work. Purpose The purpose of this scoping review is to identify primary care physicians' learning needs in returning ill or injured workers to work and to identify gaps to guide future research. Methods We used established methodologies developed by Arksey and O'Malley, Cochrane and adapted by the Systematic Review Program at the Institute for Work & Health. We used Distiller SR©, an online systematic review software to screen for relevance and perform data extraction. We followed the PRISMA for Scoping Reviews checklist for reporting. Results We screened 2106 titles and abstracts, 375 full-text papers for relevance and included 44 studies for qualitative synthesis. The first learning need was related to administrative tasks. These included (1) appropriate record-keeping, (2) time management to review occupational information, (3) communication skills to provide clear, sufficient and relevant factual information, (4) coordination of services between different stakeholders, and (5) collaboration within teams and between different professions. The second learning need was related to attitudes and beliefs and included intrinsic biases, self-confidence, role clarity and culture of blaming the patient. The third learning need was related to specific knowledge and included work capacity assessments and needs for sick leave, environmental exposures, disclosure of information, prognosis of certain conditions and care to certain groups such as adolescents and pregnant workers. The fourth learning need was related to awareness of services and tools. Conclusions There are many opportunities to improve medical education for physicians in training or in continuing medical education to improve care for workers with an illness or injury that affect their work.

The Impact of Dementia on Diabetes Control: An Evaluation of HbA1c Trajectories and Care Outcomes in Linked Primary and Specialist Care Data

OBJECTIVES

Diabetes self-care may become increasingly challenging as cognition declines. We sought to characterize glycated hemoglobin A1c (HbA1c) trajectories, markers of diabetes-related management, health care utilization, and mortality in people with preexisting type 2 diabetes (T2D) with and without dementia and based on the extent of cognitive impairment at the time of dementia diagnosis.

DESIGN

Retrospective matched cohort study.

SETTING AND PARTICIPANTS

Using a linkage between a primary care (Lambeth DataNet) and a secondary mental healthcare database, up to 5 individuals aged ≥65 y with preexisting T2D without dementia were matched to each individual with dementia based on age, sex, and general practice.

METHODS

Comparisons were made for HbA1c trajectories (linear mixed effects models), markers of diabetes-related management and severity at dementia diagnosis (logistic regression), mortality (Cox regression), and health care utilization (multilevel mixed effects binomial regression).

RESULTS

In 725 incident dementia and 3154 matched comparators, HbA1c trajectories differed by dementia status; HbA1c increased over time for mild dementia and non-dementia, but the increase was greater in the mild dementia group; for those with moderate-severe dementia, HbA1c decreased over time. Despite individuals with dementia having increased health care utilization around the time of dementia diagnosis, they were less likely to have had routine diabetes-related management. Patients with dementia had a higher prevalence of macrovascular complications and diabetes foot morbidity at dementia diagnosis and a higher mortality risk than those without dementia; these relationships were most marked in those with moderate-severe dementia.

CONCLUSIONS AND IMPLICATIONS

Our study has highlighted important differences in the monitoring, management, and control of diabetes in people with dementia. The effects of frailty and the extent of cognitive impairment on the ability to self-manage diabetes and on glycemic control may need to be considered in treatment guidelines and by primary care.

Multimorbidity and fit note receipt in working-age adults with long-term health conditions

BACKGROUND

Research on sickness absence has typically focussed on single diagnoses, despite increasing recognition that long-term health conditions are highly multimorbid and clusters comprising coexisting mental and physical conditions are associated with poorer clinical and functional outcomes. The digitisation of sickness certification in the UK offers an opportunity to address sickness absence in a large primary care population.

METHODS

Lambeth Datanet is a primary care database which collects individual-level data on general practitioner consultations, prescriptions, Quality and Outcomes Framework diagnostic data, sickness certification (fit note receipt) and demographic information (including age, gender, self-identified ethnicity, and truncated postcode). We analysed 326 415 people's records covering a 40-month period from January 2014 to April 2017.

RESULTS

We found significant variation in multimorbidity by demographic variables, most notably by self-defined ethnicity. Multimorbid health conditions were associated with increased fit note receipt. Comorbid depression had the largest impact on first fit note receipt, more than any other comorbid diagnoses. Highest rates of first fit note receipt after adjustment for demographics were for comorbid epilepsy and rheumatoid arthritis (HR 4.69; 95% CI 1.73-12.68), followed by epilepsy and depression (HR 4.19; 95% CI 3.60-4.87), chronic pain and depression (HR 4.14; 95% CI 3.69-4.65), cardiac condition and depression (HR 4.08; 95% CI 3.36-4.95).

CONCLUSIONS

Our results show striking variation in multimorbid conditions by gender, deprivation and ethnicity, and highlight the importance of multimorbidity, in particular comorbid depression, as a leading cause of disability among working-age adults.

Osteoporosis referral and treatment among people with severe mental illness: A ten-year data linkage study

INTRODUCTION

People with severe mental illness (SMI) are at increased risk of osteoporosis but minimal information is available on their treatment and referral. We investigated differences in these outcomes between patients with/without SMI in linked primary and specialist care data.

METHODS

People with SMI aged 18+ at diagnosis with both primary and mental healthcare records between 1st May 2009 and 31st May 2019 from a south London catchment were matched 1:4 to randomly selected controls on gender, age and duration of primary care follow-up. Outcomes included prescription of osteoporosis medications and referrals for osteoporosis, analysed using multivariable logistic regression analyses.

RESULTS

The study included 2269 people with SMI and 9069 matched non-SMI controls. People with SMI were more likely to have a recorded prescription of osteoporosis medications (odds ratio [OR] = 3.54, 95% confidence interval [CI] 2.87, 4.35) and be referred for osteoporosis (OR = 1.51, 95% CI 1.09, 2.08) within 2 years after the date of first SMI diagnosis after adjusting for ethnicity, deprivation and Charlson Comorbidity Index. Factors including older age (osteoporosis medications: OR = 1.04, 95% CI 1.03, 1.05; osteoporosis referral: OR = 1.05, 95% CI 1.04, 1.07) and being prescribed with Class A analgesics (osteoporosis medications: OR = 1.91, 95% CI 1.31, 2.77; osteoporosis referral: OR = 1.77, 95% CI 1.02, 3.07) are significant predictors for osteoporosis management pathways within SMI patients.

CONCLUSION

People with SMI are more frequently prescribed medications for osteoporosis and referred to osteoporosis screening than the general population. Given the many risk factors for osteoporosis in this group, this increased rate of referrals may well be warranted, and there is need to pay more attention to this at-risk group. Screening studies are needed to determine whether the rate of referral is proportional to the need.

Access to mental healthcare in the year after first fit note: a longitudinal study of linked clinical records

OBJECTIVES

Sickness absence is strongly associated with poor mental health, and mental disorders often go untreated. In this population-based cohort study, we identified people receiving fit notes from their general practitioner (GP) and determined access to mental health treatment stratified by health complaint and demographic variables.

DESIGN

Longitudinal study of health records.

SETTING

Primary care and secondary mental health care in the borough of Lambeth, South London. Forty-five GP practices in Lambeth and the local secondary mental healthcare trust.

PARTICIPANTS

The analytical sample included 293 933 working age adults (16-60 years) registered at a Lambeth GP practice between 1 January 2014 and 30 April 2016.

PRIMARY AND SECONDARY OUTCOME MEASURES

Three indicators of mental healthcare in the year after first fit note were antidepressant prescription, contact with Improving Access to Psychological Therapy (IAPT) services and contact with secondary mental health services.

RESULTS

75% of people with an identified mental health condition at first fit note had an indicator of mental healthcare in the following year. Black Caribbean and Black African groups presenting with mental disorders were less likely to have a mental healthcare indicator compared with White British groups.

CONCLUSIONS

The majority of those with an identified mental health need receive some treatment in the year following a fit note; however, our results suggest Black African and Black Caribbean groups with an identified mental healthcare need have less complete access compared to the White British group.

Survival and outcomes for stroke survivors living in care homes: a prospective cohort study

Background

Stroke survivors living in care homes require high levels of support with everyday living. The aims of this study were to describe the survival, health status and care received by stroke survivors living in care homes at 1-year post-stroke, compared with those in their own homes.

Methods

A total of 3,548 stroke survivors with a first ever stroke between 1998 and 2017 in the South London Stroke Register were identified for survival analysis. A total of 2,272 were included in the 1-year follow-up analysis. Cox regression and Kaplan–Meier plots were used to describe survival, stratified into four 5-year cohorts. Health status, medications and rehabilitation received at 1-year post-stroke were compared using descriptive statistics.

Results

Over the 20-year period, survival improved for stroke survivors discharged to their own home (P < 0.001) but not for those discharged to care homes (P = 0.75). Care home residents were highly disabled (median Barthel index: 6/20, interquartile range: 2–10). Rates of secondary stroke prevention medications at 1-year follow-up increased over time for care home residents, including antiplatelets from 12.3 to 38.1%, although still lower than for those in their own homes (56.3%). Speech and language problems were common in the care home population (40.0%), but only 16% had received speech and language therapy.

Conclusions

Rates of secondary stroke prevention prescribing increased over 20 years but remained lower in care home residents. The lower levels of rehabilitation received by stroke survivors in care homes, despite their higher levels of disability, suggest a gap in care and urgent need for restorative and/or preventative rehabilitation.

Prevalence and predictors of potentially inappropriate prescribing in middle-aged adults: a repeated cross-sectional study

Background

Potentially inappropriate prescribing (PIP) is common in older adults and known to be associated with polypharmacy and multimorbidity. Less is known about the prevalence and causes of PIP in middle-aged adults.

Aim

To determine the prevalence and predictors of PIP in middle-aged adults.

Design and setting

A repeated cross-sectional study was conducted using primary care data in London.

Method

PIP was defined using the PRescribing Optimally in Middle-aged People’s Treatments (PROMPT) criteria. Prescribing and demographic data were extracted from Lambeth DataNet (LDN), a pseudonymised database of all patients registered at general practices in Lambeth, for those aged 45–64 years prescribed ≥1 medicines in each year from 2014–2019 (n = 46 633–52 582). Prevalence and trends over 6 years were investigated, including the association of PIP with polypharmacy, multimorbidity, deprivation, sex, and age.

Results

The prevalence of PIP decreased from 20% in 2014 to 18% in 2019. The most prevalent PROMPT criteria in 2019 were the use of ≥2 drugs from the same pharmacological class (7.6%), use of non-steroidal anti-inflammatory drugs for >3 months (7.1%) and use of proton pump inhibitors above recommended maintenance dosages for >8 weeks (3.1%). Over the study period, the prevalence of multimorbidity increased (47–52%) and polypharmacy remained stable (27%). Polypharmacy, multimorbidity, deprivation, and age were independently associated with PIP. Sex was the only variable not associated with PIP.

Conclusion

Almost one-fifth of middle-aged adults prescribed medicines are exposed to PIP, as defined by the PROMPT criteria. This is likely to be linked with exposure to avoidable adverse drug events. The PROMPT criteria may provide a useful aid in interventions to optimise prescribing.

Health condition at first fit note and number of fit notes: a longitudinal study of primary care records in south London

OBJECTIVES

The fit note replaced the sick note in the UK in 2010, with the aim of improving support for patients requiring sickness absence, yet there has been very little research into fit note use. This study aims to describe number of fit notes by condition, to improve our understanding of patterns of fit note use in primary care. Previous fit note research has relied on extracting diagnoses directly from fit notes, rather than extracting information from clinical records. In this paper, we extract information from clinical records to explore demographic factors and conditions associated with number of fit notes issued.

DESIGN

This is a longitudinal study of clinical data. We analysed individual-level anonymised data from general practitioner consultations, including demographic information and condition recorded at first fit note. The latter encompassed diagnoses, individual symptoms and psychosocial issues.

SETTING

A database called Lambeth DataNet, containing electronic clinical records on 326 415 adults (ages 16-60) from all 45 general practices within the London Borough of Lambeth from 1 January 2014 to 30 April 2017.

PARTICIPANTS

Our analytical sample contained 40 698 people with a condition recorded at first fit note.

PRIMARY OUTCOME MEASURE

Predicted number of fit notes in the period January 2014-April 2017 RESULTS: Of all studied diagnostic groups, mental illness had the highest predicted number of fit notes (n=3.3; 95% CI: 3.1 to 3.4) after controlling for demographic factors and long-term conditions. The highest predicted number of fit notes for any condition subgroup was among patients presenting for drug and/or alcohol misuse (n=4.5; 95% CI: 4.1 to 4.8).

CONCLUSIONS

For the first time, we show drug and/or alcohol misuse at first fit note are associated with the highest number of fit notes. Research is needed to understand the trajectories of individuals at highest risk of long-term sickness absence, in particular, people presenting with drug and/or alcohol misuse.