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Service use, healthcare costs and productivity losses of functional cognitive disorder in a sample of attenders to out-patient cognitive, neurology and memory clinics

Published online by Cambridge University Press:  16 July 2025

Barbara Barrett*
Affiliation:
Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
Joan Agwuna
Affiliation:
Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
Sarah Cope
Affiliation:
South West London and St George’s Mental Health NHS Trust, London, UK South London and Maudsley NHS Foundation Trust, London, UK
Mark J. Edwards
Affiliation:
Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK South London and Maudsley NHS Foundation Trust, London, UK
Norman Poole
Affiliation:
Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK South West London and St George’s Mental Health NHS Trust, London, UK South London and Maudsley NHS Foundation Trust, London, UK
*
Correspondence: Barbara Barrett. Email: Barbara.m.barrett@kcl.ac.uk
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Abstract

Background

People with functional disorders often receive high levels of healthcare resource use yet have poor outcomes. The health service costs and productivity losses of functional cognitive disorders (FCD) is unknown.

Aims

This study aims to report the cost to health services and productivity losses of FCD.

Method

Examination of healthcare service use and productivity losses in a sample of individuals with FCD who had attended a specialist out-patient clinic in south London.

Results

The findings revealed high rates of healthcare use, including frequent contact with general practitioners, psychologists and hospital services, as well as work absences. The total estimated cost of healthcare and productivity losses per individual over 6 months was £1114.

Conclusions

These results highlight the need for effective and efficient diagnostic pathways, targeted and effective interventions, and improved support for individuals with FCD.

Information

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists

Functional cognitive disorder (FCD) is a subtype of functional neurological disorder (FND). It is characterised by distressing and impairing cognitive symptoms, such as failure to retrieve over-learned memories (like names and bank PINs), with specific positive features that reveal intact memory (for instance, providing a detailed description of a memory lapse), and does not follow the typical pattern of recognised neuropathological conditions. Reference Pennington, Ball and Swirski1 Individuals with FCD experience considerable difficulties with memory and attention that significantly impact on their lives, but unlike other cognitive disorders, such as Alzheimer’s disease, cognitive function in FCD is stable and unfluctuating and is thought not to follow a progressive course, Reference Ball, McWhirter, Ballard, Bhome, Blackburn and Edwards2 although long term follow-up studies are rare.

Health economists are motivated to study functional disorders because of the relationship between these conditions and high levels of healthcare service use. High levels of healthcare resource use and poor outcomes are suggestive of an inefficient allocation of resources since the opportunity cost suggests they could produce better outcomes elsewhere. Reference Cylus, Papanicolas, Smith, Cylus, Papanicolas and Smith3 A recent systematic review of FNDs described their substantial direct and indirect costs. Reference O’Mahony, Nielsen, Baxendale, Edwards and Yogarajah4 The pathway to the diagnosis and treatment of functional disorders is often protracted, with the inclusion of potentially unnecessary tests and interventions, and a substantial delay between the onset of symptoms and diagnosis. Reference Tinazzi, Gandolfi, Landi and Leardini5 It is possible that repeated diagnostic tests and out-patient appointments are a result of a lack of appropriate medical education and the stigma associated with the disorder. Reference Watson, Woodward and Strom6 The flawed approach of seeking investigations to ‘rule out’ alternative diagnoses rather than making the diagnosis based on positive clinical signs and features, especially likely when diagnosing cognitive disorders, contributes to the substantial costs to health systems. Reference Watson, Woodward and Strom6 Indeed, investigations to identify biomarkers of neurodegeneration may themselves trigger FCD Reference Ball, McWhirter, Ballard, Bhome, Blackburn and Edwards2 through a nocebo response that is reinforced via attention, stress and anxiety. Alongside these healthcare costs, functional disorders can result in individuals missing work, withdrawing from employment and requiring formal or informal care, resulting in further economic impacts via productivity losses. Reference Jennum, Ibsen and Kjellberg7

While there is growing evidence of the costs to health services and productivity losses of other functional disorders, the health service and productivity costs of FCD are unknown. It is thought that the persistent unmet need and resistance to diagnosis leads to a cycle of referrals between primary and secondary care, Reference Pennington, Ball and Swirski1 but there is little evidence from primary data collection to corroborate this.

The purpose of this study is first to generate evidence on patterns of service use in FCD and second to estimate the healthcare and societal costs of individuals with FCD, in those attending an out-patient clinic. Evidence of the costs to health services and productivity losses of this disorder could contribute to the development of strategies for a more efficient allocation of scarce healthcare resources, as well as improvements in care pathways for those with FCD.

Method

People attending neuropsychiatry, cognitive neurology and diagnostic memory out-patient clinics were recruited to the ACT4FCD study, a full description of which has been published. Reference Poole, Cope, Vanzan, Duffus, Mantovani and Smith8 In brief, patients diagnosed with FCD by clinicians working in cognitive neurology, neuropsychiatry or diagnostic memory clinics were offered the opportunity to participate in a feasibility study of an online group delivering acceptance and commitment therapy intervention for their condition if they met the inclusion and exclusion criteria detailed in Box 1. Eighty-six potential participants were referred in to the trial of whom 44 (51%) were successfully recruited and randomised. Most participants were recruited from the neuropsychiatry clinic (n = 23; 52%); 14 (32%) came from cognitive neurology, while the fewest (n = 7; 16%) came from memory clinics, who were also the least likely to consent to randomisation.

Box 1 Inclusion/exclusion criteria

Inclusion criteria

A diagnosis of FCD established in clinic and confirmed via clinical notes and examination findings.

Aged 18 or over.

Able to provide written informed consent.

Exclusion criteria

Severe cognitive symptoms associated with a primary psychiatric disorder (e.g. depression, severe generalised anxiety disorder (GAD-7), post-traumatic stress disorder (PTSD), bipolar affective disorder, schizophrenia).

Considered at ‘medium’ or ‘high’ risk of deliberate self-harm and/or suicide (based on clinical assessment).

A coexisting functional disorder (e.g. functional seizures; comorbid functional diagnosis acceptable so long as those symptoms did not dominate the clinical picture).

Diagnosis of dementia.

Diagnosis of learning disability.

Insufficient command of English to engage in conversation without an interpreter.

The cost analysis was made from both a National Health Service (NHS) and a Personal Social Services (PSS) perspective, as required by UK decision-makers, 9 and a societal perspective, to include productivity losses due to time off work. At baseline as well as a range of demographic and clinical measures, the Adult Service Use Schedule (AD-SUS) was also administered. The AD-SUS is a self-report questionnaire specifically designed for this study and adapted from previous work in similar populations. Reference Tyrer, Cooper, Salkovskis, Tyrer, Crawford and Byford10 It is separated into four sections and refers to the 6 months preceding the day of completion. First, participants are asked about their employment status, and how much time they have taken off work due to their ill health. Second, the AD-SUS asks participants to recall the number of times they have seen a range of community-based health and mental health care services. Third, the questionnaire collects information on in-patient admissions, diagnostic tests, out-patient appointments and attendances at accident and emergency departments. Finally, patients are asked if they have been prescribed any psychotropic medication. Participants were able to complete the AD-SUS via an individualised weblink or a paper copy. Data were held on a REDCap database Reference Harris, Taylor, Minor, Elliott, Fernandez and O’Neal11 and backed up weekly on a secure server. The data collection and management was in line with GDPR Data Protection Act (2018) and South West London and St George’s Mental Health NHS Trust’s information governance.

The total cost of services for each participant was calculated by multiplying the quantity of each service by its unit cost for the financial year 2022–2023 and employment losses calculated using median earnings for the UK. Routine unit costs were employed, and these are detailed in Table 1. Mean average service use data and cost data are presented, alongside the proportion of the sample accessing each service at least once.

Table 1 Unit costs and sources

Results

Demographic characteristics are detailed in Table 2, and the employment status and types of health service contacts that study participants accessed are detailed in Table 3. In the 6-month period prior to completing the questionnaire, most participants reported that they spent at least 1 month working, either full-time (52%), or part-time (24%). At least a third had taken time off work due to ill health, for an average of 9 days. For primary healthcare, contact with general practitioners was common, with at least two-thirds of the participants having one or more contact. There was evidence of use of mental health services, with half of the study participants having seen a psychologist or a counsellor in the 6 months prior to interview. The most widely used services in secondary care were diagnostic tests (almost half with at least one contact) and out-patient appointments (nearly two-thirds with at least one contact). Around a quarter of the participants were on an antidepressant, with low use of other psychotropic medication.

Table 2 Sociodemographic information (n = 44)

Table 3 Use of services over 6 months prior to interview (n = 42)

Total costs over 6 months to health and social care services were on average £1045, with an equal split between primary and secondary care services (Table 4). Productivity losses were on average £69 (the cost of time off work for those in employment), generating a societal total cost estimate of £1114.

Table 4 Total costs over 6 months prior to interview (n = 42)

Discussion

The findings of this study provide useful insight into the health service use of people with FCD and their time off work due to ill health. The findings reflect research from our group on the lived experiences of those with an FCD diagnosis who reported contacting a range of clinicians prior to diagnosis and being ‘bounced’ between different healthcare professionals. Reference Mantovani, Poole, Cope, Vanzan, Duffus and William12

Over 90% of the participants were of working age, and 52% spent at least 1 month in full-time employment, with a further 24% with at least 1 month in part-time work. While this suggests that there is a proportion of people with FCD who are economically inactive, employment rates are higher than those found for other functional neurological disorders. In comparable UK samples, O’Connell and colleagues found employment rates of around 25%, Reference O’Connell, Nicholson, Wessely and David13 and O’Mahony reported full-time employment at 17% and part-time employment at 5.2% in participants recruited from similarly specialist services. Reference O’Mahony, Nelson-Sice, Nielsen, Hunter, Cope and Agarwal14 This suggests that those diagnosed with FCD may have less disability when compared with patients diagnosed with other FND presentations.

General practitioners were widely accessed by patients, suggesting they were seeking help for their symptoms, further investigations or treatment of comorbidities. In the general population, rates of use of NHS talking therapies is around 2%, 15 so the 50% reported rates of contact with psychology and counselling in this sample is much higher, suggesting that participants in the study experienced psychological distress for which they were seeking treatment. This suggests a high psychological impact of the symptoms. Similarly, use of antidepressants at 26% accords with the known association between anxiety and mood disorders with FCD, Reference McWhirter, Ritchie, Stone and Carson16 and which is substantially higher than prescribing rates of 16% in the general population. 17

The secondary care service use reflects the help seeking often associated with functional disorders, with nearly half of participants having a hospital-based diagnostic and two-thirds an out-patient appointment (recruitment to the study was both from out-patient clinics and a list of those willing to be contacted for research studies kept by the cognitive neurology service). Despite this, as we have reported elsewhere, Reference Mantovani, Poole, Cope, Vanzan, Duffus and William12 as with other functional disorders, there are high levels of felt stigma and dissatisfaction with healthcare as even once a diagnosis has been made little or no active interventions are offered. Reference Bailey, Bell and Blackburn18 It is likely that numbers with the disorder could increase with the availability of pre-symptomatic diagnoses using biomarkers, Reference Dubois, von Arnim, Burnie, Bozeat and Cummings19 and potential expansions in the diagnostic criteria, as well as novel new treatments, such as the monoclonal antibody Lecanemab. Reference van Dyck, Swanson, Aisen, Bateman, Chen and Gee20

The total cost to NHS/PSS was on average £1044 over 6 months, which is lower than the healthcare costs of people with FND in general, which was substantially higher, at £3229 over 6 months, in research which used similar methods to the collection of service use data. Reference O’Mahony, Nelson-Sice, Nielsen, Hunter, Cope and Agarwal14 This implies that FCD symptoms can potentially have less of an impact on functioning when compared with other FND presentations, but this warrants further investigation with a larger sample size. It is also difficult to assess given that patients may have other FND conditions and comorbidities.

It is important to acknowledge the limitations of this study. The sample size was relatively small and recruited from secondary care clinics which assess patients with memory symptoms, so the findings may not be generalisable to the entire population with FCD. We were not able to include estimates of the costs of informal care, which previous papers have suggested might be substantial in similar groups, Reference O’Mahony, Nelson-Sice, Nielsen, Hunter, Cope and Agarwal14 nor did we capture the impact of welfare claims, which studies in similar populations have shown can be considerable. Reference Jennum, Ibsen and Kjellberg7 However, it remains the largest sample of FCD in the UK, and we believe that the methods to collect service use data and estimate costs were rigorous.

In conclusion, this study adds to recent research demonstrating elevated healthcare costs are associated with functional disorders. It supports the shift from ‘rule out’ to ‘rule in’ diagnosis in FND generally, Reference Aybek and Perez21 which has the potential to save costs via a reduction in referrals and complex diagnostics, and increase confidence in diagnostic accuracy while reducing stigma and dissatisfaction. This has been argued for elsewhere Reference Ball, McWhirter, Ballard, Bhome, Blackburn and Edwards2 but has yet to be properly implemented for FCD. Patients, however, also deserve active treatment, such as psychological interventions, that has the potential to reduce symptom burden and distress Reference Bhome, Berry, Huntley and Howard22 while improving the quality and productivity of their lives.

Data availability

The data that support the findings of this study are available on request from the corresponding author, B.B.

Author contributions

N.P. secured the funding with S.C. and B.B. as co-applicants. B.B. designed the health economics measures and analysed the data together with J.A. M.J.E. provided oversight and guidance of the study, and all authors contributed to the interpretation of findings. B.B. prepared the written manuscript, and all authors contributed to writing and revision of the manuscript.

Funding

Funding was provided by the National Institute for Health and Care Research (NIHR; grant number NIHR202743) and supported by the NIHR Clinical Research Network.

Declaration of interest

N.P. and B.B. report grant support from the National Institute for Health and Care Research (NIHR) during the conduct of this study. N.P. and M.J.E. provide expert medico-legal testimony for people with neurological and psychiatric conditions, including FCD.

Ethical standards

South East Scotland Research Ethics Committee 02 approval (REC reference: 22/SS/0059). HRA approval (IRAS 313730). The study has been registered with the ISRCTN (ISRCTN12939037).

Consent statement

All the participants provided written informed consent.

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Figure 0

Table 1 Unit costs and sources

Figure 1

Table 2 Sociodemographic information (n = 44)

Figure 2

Table 3 Use of services over 6 months prior to interview (n = 42)

Figure 3

Table 4 Total costs over 6 months prior to interview (n = 42)

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