Evidence map›Paper›PMID 27724888›Full record

ArticleBMC medical research methodology2016

A consumer register: an acceptable and cost-effective alternative for accessing patient populations.

Jamie Bryant, Rob Sanson-Fisher, Elizabeth Fradgley, Breanne Hobden, Alison Zucca, Frans Henskens, Andrew Searles, Brad Webb, Christopher Oldmeadow

Abstract read
In one paragraph

Article in BMC medical research methodology, 2016. 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. Article
  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

9 authors.

Jamie BryantHealth Behaviour Research Group, Priority Research Centre in Health Behaviour and Hunter Medical Research Institute, HMRI Building, University of Newcastle, Callaghan, New South Wales, 2308, Australia. Jamie.Bryant@newcastle.edu.au.
Rob Sanson-FisherHealth Behaviour Research Group, Priority Research Centre in Health Behaviour and Hunter Medical Research Institute, HMRI Building, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Elizabeth FradgleyHealth Behaviour Research Group, Priority Research Centre in Health Behaviour and Hunter Medical Research Institute, HMRI Building, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Breanne HobdenHealth Behaviour Research Group, Priority Research Centre in Health Behaviour and Hunter Medical Research Institute, HMRI Building, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Alison ZuccaHealth Behaviour Research Group, Priority Research Centre in Health Behaviour and Hunter Medical Research Institute, HMRI Building, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Frans HenskensDistributed Computing Research Group; School of Electrical Engineering & Computer Science; Priority Research Centre for Health Behaviour; University of Newcastle, New South Wales, 2308, Australia.
Andrew SearlesHealth Research Economics, Hunter Medical Research Institute, New Lambton Heights, New South Wales, 2305, Australia.
Brad WebbHunter Medical Research Institute, New Lambton Heights, New South Wales, 2305, Australia.
Christopher OldmeadowHunter Medical Research Institute, New Lambton Heights, New South Wales, 2305, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation-based registries are increasingly used to recruit patient samples for research, however, they have several limitations including low consent and participation rates, and potential selection bias. To improve access to samples for research, the utility of a new model of recruitment termed the 'Consumer Register', that allows for direct patient recruitment from hospitals, was examined. This paper reports: (i) consent rates onto the register; (ii) preferred methods and frequency of contact; and (iii) the feasibility of establishing the register, including: (a) cost per person recruited to the register; (b) the differential cost and consent rates of volunteer versus paid data collectors; and (c) participant completion rates.

methodsA cross-sectional survey was conducted in five outpatient clinics in Australia. Patients were approached by volunteers or paid data collectors and asked to complete a touch-screen electronic survey. Consenting individuals were asked to indicate their willingness and preferences for enrolment onto a research register. Descriptive statistics were used to examine patient preferences and linear regression used to model the success of volunteer versus paid data collectors. The opportunity and financial costs of establishing the register were calculated.

resultsA total of 1947 patients (80.6 %) consented to complete the survey, of which, 1486 (76.3 %) completed the questionnaire. Of the completers, the majority (69.4 %, or 1032 participants) were willing to be listed on the register and preferred to be contacted by email (50.3 %). Almost 39 % of completers were willing to be contacted three or more times in a 12 month period. The annual opportunity cost of resources consumed by the register was valued at $37,187, giving an opportunity cost per person recruited to the register of $36. After amortising fixed costs, the annual financial outlay was $23,004 or $22 per person recruited to the register. Use of volunteer data collectors contributed to an annual saving of $14,183, however paid data collectors achieved significantly higher consent rates. Successful enrolment onto the register was completed for 42 % of the sample.

conclusionsA Consumer Register is a promising and feasible alternative to population-based registries, with the majority of participants willing to be contacted multiple times via low-resource methods such as email. There is an effectiveness/cost trade off in the use of paid versus volunteer data collectors.

Indexed as

Patient SelectionSurveys and QuestionnairesCommunity ParticipationCost-Benefit AnalysisCross-Sectional StudiesFeasibility StudiesHumansOutpatientsPatient ParticipationRegistriesReproducibility of ResultsConsumer participationPatient recruitmentResearch register

Identifiers

PMID27724888
PMCPMC5057257

What OpenQuestion holds

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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.