Evidence map›Paper›PMID 41404781›Full record

ArticleBJPsych open2025

Patterns of insomnia and its treatment in North Central London: using primary care data to establish unmet needs and health inequalities.

Lauren Z Waterman, Fleur O M Harrison, Uche Osuagwu, Sarah Dougan

Abstract read
In one paragraph

Article in BJPsych open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lauren Z Watermanhttps://ror.org/00xm3h672North Central London Integrated Care System, London, UK.ORCID https://orcid.org/0000-0002-9963-4008
Fleur O M Harrisonhttps://ror.org/00xm3h672North Central London Integrated Care System, London, UK.
Uche OsuagwuPublic Health Team, Islington Council, London, UK.
Sarah Douganhttps://ror.org/00xm3h672North Central London Integrated Care System, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExisting research demonstrates that insomnia is common, with significant negative impacts on health and quality of life. Cognitive-behavioural therapy for insomnia (CBT-I), the first-line treatment, is highly cost-effective. However, healthcare records have not been used in the UK to establish real-world insomnia prevalence, inequalities or unmet need.

aimsThis study's aim was to establish the above in North Central London.

methodData were extracted from primary care records across three London boroughs for 765 035 patients. Prevalence was determined by identifying those with a recent code for insomnia, insomnia treatment or sleeping tablet prescription.

resultsInsomnia prevalence was 4.3%. Prevalence increased steadily with age, and was highest for women (4.9%), those of Bangladeshi ethnicity (7.3%) and those in the most deprived quintile (5.2%). Prevalence was significantly higher in patients with comorbidities (including chronic obstructive pulmonary disease (17.5%), severe mental illness (16.6%) and depression (14.1%)). Only 1.7% of people with insomnia had been referred for CBT-I.

conclusionsFindings suggested that insomnia is at least as common as illnesses receiving high levels of focus and resourcing in the UK, and that prevalence estimates were probably underestimates. Variation in prevalence by demographic factors and deprivation may represent health inequalities. Insomnia was particularly common among patients with certain comorbidities and of advancing age, indicating that those groups should be actively screened. Concerningly, referral rates for CBT-I were extremely low. This has important implications regarding population health management, commissioning and training. Prevalence and unmet need are likely to be high in many other areas and should be investigated locally.

Indexed as

insomniapopulation healthpreventionsleepSleep–wake disorders

Identifiers

PMID41404781
PMCPMC12724108

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.