Evidence map›Paper›PMID 26185984›Full record

ArticlePloS one2015

The Cost of Ankylosing Spondylitis in the UK Using Linked Routine and Patient-Reported Survey Data.

Roxanne Cooksey, Muhammad J Husain, Sinead Brophy, Helen Davies, Muhammad A Rahman, Mark D Atkinson, Ceri J Phillips, Stefan Siebert

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  12. Using qualitative methods for a conceptual analysis of measures of health status and presenteeism prior to a mapping study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
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  14. The value of persistence in treatment with subcutaneous TNF-alpha inhibitors for ankylosing spondylitis.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
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  15. Article
  16. A Profile of the SAIL Databank on the UK Secure Research Platform.International journal of population data science · 2019
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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

8 authors at 4 institutions in 1 country.

Roxanne CookseyCollege of Medicine, Swansea University, Swansea, Wales, United Kingdom.
Muhammad J HusainKeele Management School, Keele University, Keele, Newcastle, England, United Kingdom.
Sinead BrophyCollege of Medicine, Swansea University, Swansea, Wales, United Kingdom.
Helen DaviesCollege of Medicine, Swansea University, Swansea, Wales, United Kingdom.
Muhammad A RahmanCollege of Medicine, Swansea University, Swansea, Wales, United Kingdom.
Mark D AtkinsonCollege of Medicine, Swansea University, Swansea, Wales, United Kingdom.
Ceri J PhillipsCollege of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom.
Stefan SiebertInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, Scotland, United Kingdom.
Swansea University · GBGower College Swansea · GBKeele University · GBUniversity of Glasgow · GB

Funding

Medical Research Council G0800583Medical Research Council MR/K006525/1
6 · The paper itself

Abstract

backgroundAnkylosing spondylitis (AS) is a chronic inflammatory arthritis which typically begins in early adulthood and impacts on healthcare resource utilisation and the ability to work. Previous studies examining the cost of AS have relied on patient-reported questionnaires based on recall. This study uses a combination of patient-reported and linked-routine data to examine the cost of AS in Wales, UK.

methodsParticipants in an existing AS cohort study (n = 570) completed questionnaires regarding work status, out-of-pocket expenses, visits to health professionals and disease severity. Participants gave consent for their data to be linked to routine primary and secondary care clinical datasets. Health resource costs were calculated using a bottom-up micro-costing approach. Human capital costs methods were used to estimate work productivity loss costs, particularly relating to work and early retirement. Regression analyses were used to account for age, gender, disease activity.

resultsThe total cost of AS in the UK is estimated at £19016 per patient per year, calculated to include GP attendance, administration costs and hospital costs derived from routine data records, plus patient-reported non-NHS costs, out-of-pocket AS-related expenses, early retirement, absenteeism, presenteeism and unpaid assistance costs. The majority of the cost (>80%) was as a result of work-related costs.

conclusionThe major cost of AS is as a result of loss of working hours, early retirement and unpaid carer's time. Therefore, much of AS costs are hidden and not easy to quantify. Functional impairment is the main factor associated with increased cost of AS. Interventions which keep people in work to retirement age and reduce functional impairment would have the greatest impact on reducing costs of AS. The combination of patient-reported and linked routine data significantly enhanced the health economic analysis and this methodology that can be applied to other chronic conditions.

Indexed as

Cost of IllnessAbsenteeismAdultAgedChronic DiseaseCost-Benefit AnalysisFemaleHealth Care CostsHealth ExpendituresHumansMaleMiddle AgedRetirementSeverity of Illness IndexSpondylitis, AnkylosingSurveys and Questionnaires

Identifiers

PMID26185984
PMCPMC4506082
OpenAlexW1908131837

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.