Evidence map›Paper›PMID 40903747›Full record

ArticleBMC health services research2025

Healthcare use and costs of perinatal anxiety: a UK NHS perspective.

Kalpa Pisavadia, Kodchawan Doungsong, Victory Ezeofor, Llinos Haf Spencer, Lorna Tuersley, Catherine Best, Rose Meades, Susan Ayers, Una Hutton, Patricia M Moran and 4 more

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

14 authors.

Kalpa PisavadiaCentre for Health Economics and Medicines Evaluation (CHEME), Bangor University, Bangor, Gwynedd, Wales, LL57 2PZ, UK. kalpa.pisavadia@bangor.ac.uk.
Kodchawan DoungsongCentre for Health Economics and Medicines Evaluation (CHEME), Bangor University, Bangor, Gwynedd, Wales, LL57 2PZ, UK.
Victory EzeoforCentre for Health Economics and Medicines Evaluation (CHEME), Bangor University, Bangor, Gwynedd, Wales, LL57 2PZ, UK.
Llinos Haf SpencerFaculty of Life Sciences and Education, Health, Care, and Well-Being Research and Innovation Group, University of South Wales, Pontypridd, Wales, CF37 4BD, UK.
Lorna TuersleyCentre for Health Economics and Medicines Evaluation (CHEME), Bangor University, Bangor, Gwynedd, Wales, LL57 2PZ, UK.
Catherine BestFaculty of Health Science and Sport, University of Stirling, Stirling, Scotland, FK9 4LA, UK.
Rose MeadesCentre for Maternal and Child Health Research, City, University of London, Northampton Square, London, England, EC1V 0HB, UK.
Susan AyersCentre for Maternal and Child Health Research, City, University of London, Northampton Square, London, England, EC1V 0HB, UK.
Una HuttonCentre for Maternal and Child Health Research, City, University of London, Northampton Square, London, England, EC1V 0HB, UK.
Patricia M MoranCentre for Maternal and Child Health Research, City, University of London, Northampton Square, London, England, EC1V 0HB, UK.
Judy ShakespeareRetired General Practitioner (GP), Oxford, England, UK.
Andrea SinesiFaculty of Health Science and Sport, University of Stirling, Stirling, Scotland, FK9 4LA, UK.
Rhiannon Tudor EdwardsCentre for Health Economics and Medicines Evaluation (CHEME), Bangor University, Bangor, Gwynedd, Wales, LL57 2PZ, UK.
MAP ALLIANCE study team

Funding

National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research (HS&DR) NIHR133727
6 · The paper itself

Abstract

backgroundPerinatal anxiety is a significant public health issue with potential adverse outcomes for both mothers and their babies. This study provides a comprehensive analysis of the costs associated with health service use for women with and without perinatal anxiety in the UK National Health Service (NHS) at six and twelve months postpartum. This research is part of the MAP Alliance Study-a large programme of research on perinatal anxiety.

methodsA cost of illness (COI) analysis was performed using a retrospective approach in which recorded data of self-reported health resource use was analysed. The COI analysis identified the different components of costs and the size of the contribution of each health resource and quantified the direct costs incurred by the NHS due to perinatal anxiety.

resultsResults found that women experiencing perinatal anxiety use healthcare services more frequently and incur higher healthcare costs compared to those without. At six months postpartum, the mean total healthcare cost per woman with perinatal anxiety was £1174 (95% CI: 1080.67, 1263.05) compared with £1046 (95% CI: 975.16, 1123.83) for women without. At twelve months postpartum, the mean total healthcare cost per woman with perinatal anxiety was £414 (95% CI: 347.76, 488.87) compared with £267 (95% CI: 226.06, 314.81) for women without. However, this cost difference between the two groups was not statistically significant (-£14; 95% CI: -161.88, 135.65, p = 0.808).

conclusionThese findings underscore the economic impact of perinatal anxiety on healthcare systems and highlight the need for targeted interventions to improve care pathways for affected women. The results of this analysis have significant implications for public health policy, emphasising the importance of optimising perinatal mental health care pathways to reduce long-term costs and improve outcomes for women.

Indexed as

AnxietyHealth Care CostsPregnancy ComplicationsState MedicineAdultCost of IllnessFemaleHumansPerinatal CarePostpartum PeriodPregnancyRetrospective StudiesUnited KingdomBirthCost of illnessHealthcare resource useHealth economicsHealth servicesPerinatal anxietyPregnancyWomen

Identifiers

PMID40903747
PMCPMC12406475

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Registered trials

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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.