Evidence map›Paper›PMID 29760941›Full record

ArticlePilot and feasibility studies2018

Hip fracture in the elderly multidisciplinary rehabilitation (FEMuR) feasibility study: testing the use of routinely collected data for future health economic evaluations.

Nefyn H Williams, Kevin Mawdesley, Jessica L Roberts, Nafees Ud Din, Nicola Totton, Joanna M Charles, Zoe Hoare, Rhiannon T Edwards

Abstract read
In one paragraph

Article in Pilot and feasibility studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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.

Nefyn H Williams1Betsi Cadwaladr University Health Board, St Asaph, UK.
Kevin MawdesleyRed Wharf Systems, Anglesey, UK.
Jessica L Roberts4School of Healthcare Sciences, Bangor University, Bangor, UK.
Nafees Ud Din4School of Healthcare Sciences, Bangor University, Bangor, UK.
Nicola Totton5School of Health and Related Research, University of Sheffield, Sheffield, UK.
Joanna M Charles4School of Healthcare Sciences, Bangor University, Bangor, UK.
Zoe Hoare4School of Healthcare Sciences, Bangor University, Bangor, UK.
Rhiannon T Edwards4School of Healthcare Sciences, Bangor University, Bangor, UK.

Funding

Department of Health 11/33/03
6 · The paper itself

Abstract

backgroundHealth economic evaluations rely on the accurate measurement of health service resource use in order to calculate costs. These are usually measured with patient completed questionnaires using instruments such as the Client Service Receipt Inventory (CSRI). These rely on participants' recall and can be burdensome to complete. Health service activity data are routinely captured by electronic databases.The aim was to test methods for obtaining these data and compare with those data collected using the CSRI, within a feasibility study of an enhanced rehabilitation intervention following hip fracture (Fracture in the Elderly Multidisciplinary Rehabilitation: FEMuR).

methodsPrimary care activity including prescribing data was obtained from the Secure Anonymised Information Linkage (SAIL) Databank and secondary care activity (Emergency Department attendances, out-patient visits and in-patient days) directly from Betsi Cadwaladr University Health Board (BCUHB), North Wales, UK. These data were compared with patient responses from the CSRI using descriptive statistics and the intraclass correlation coefficient (ICC).

resultsIt was possible to compare health service resource use data for 49 out of 61 participants in the FEMuR study. For emergency department (ED) attendances, records matched in 23 (47%) cases, 21 (43%) over-reported on electronic records compared with CSRI and five participants (10%) under-reported, with an overall ICC of 0.42. For out-patient episodes, records matched in only six cases, 28 participants over-reported on electronic records compared with CSRI and 15 (12%) under-reported, with an overall ICC of only 0.27. For in-patient days, records matched exactly in only five cases (10%), but if an error margin of 7 days was allowed, then agreement rose to 39 (66%) cases, and the overall ICC for all data was 0.88.It was only possible to compare prescribing data for 12 participants. For prescribing data, the SAIL data reported 117 out of 118 items (99%) and the CSRI only 89 (79%) items.

conclusionsThe use of routinely collected data has the potential to improve the efficiency of trials and other studies. Although the methodology to make the data available has been demonstrated, the data obtained was incomplete and the validity of using this method remains to be demonstrated.

trial registrationTrial registration: ISRCTN22464643 Registered 21 July 2014.

Indexed as

Client Service Receipt InventoryEconomic evaluationElectronic medical recordFeasibility studyHealth service resource useHip fractureIntraclass correlation coefficientProximal femoral fractureRehabilitation

Identifiers

PMID29760941
PMCPMC5937043

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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.