Evidence map›Paper›PMID 33743694›Full record

ArticleBMC health services research2021

Exploration of the costs of accessing health services: data from a longitudinal study of young people in transition from paediatric to adult services.

Julija Simpson, Tomos Robinson, Luke Vale

Abstract read
In one paragraph

Article in BMC health services research, 2021. 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

3 authors.

Julija SimpsonHealth Economics Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK. j.stoniute@newcastle.ac.uk.
Tomos RobinsonHealth Economics Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Luke ValeHealth Economics Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEconomic evaluations that include the patient perspective often base their estimates of patient time and travel costs on data collected at a single point in time. This, however, may be inaccurate if the costs of accessing care change substantially over time, as may be the case for young people in transition from paediatric to adult health services.

aimsThe aim of this study was to explore the differences in these time and travel costs between two data collection points for young individuals in transition between health care services, and thus to provide an insight of whether such costs should be collected more than once.

methodsDescriptive statistics and regression modelling were used to estimate the average difference in costs between the two points of data collection, as well as the potential drivers of those cost differences.

resultsWe found a small difference in costs between the two time points, equal to -£45.78 [95% CI: - 89.70 to - 1.86]. The results were largely driven by changes in the unit cost of visits and in the number of attendances.

conclusionsA simple and common assumption that patient costs could be collected at a single time point cannot be made in the context of our study. When deciding on the frequency of elicitation of patient costs, future studies should consider the relative impacts of additional data collection on the estimates of efficiency, inequalities and resource implications for collecting new data.

Indexed as

EfficiencyHealth ServicesAdolescentAdultChildCost-Benefit AnalysisData CollectionHealth Care CostsHumansLongitudinal StudiesEconomic evaluationHealth economicsPatient costsTransition care

Identifiers

PMID33743694
PMCPMC7981799

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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.