Evidence map›Paper›PMID 18648986›Full record

ArticleJournal of cancer survivorship : research and practice2008

The UK Expert Patients Program: lessons learned and implications for cancer survivors' self-care support programs.

Patricia M Wilson

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Article in Journal of cancer survivorship : research and practice, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

1 author.

Patricia M WilsonCentre for Research in Primary & Community Care, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK. p.m.wilson@herts.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, the enablement of self-care is increasingly being recognised as an essential component of chronic disease management. Within the UK a key self-care policy initiative is the Expert Patients Program. Developed from the Chronic Disease Self-Management Program, this is a 6 week self-management education program for people with different chronic diseases, facilitated by lay volunteers. As an example of a major public health initiative designed to enhance self-management in long-term conditions, this paper draws on evaluations of the EPP and CDSMP and analyzes the implications for the development of similar programs for cancer survivors. There are a number of evaluations of the CDSMP which suggest significant improvement in participants' chronic disease management self-efficacy and some evidence of healthcare utilization reduction. However, whilst the national evaluation of the EPP demonstrated similar improvements in self-efficacy and health status, there was no significant effect on healthcare utilization. Trials of such programs need to be treated with some caution as participants are often not typical of the general population, and as a complex intervention effectiveness is inherently difficult to assess. Qualitative evaluations revealed that the EPP's strength was derived mainly through peer support and learning. Nevertheless, a number of contextual problems were identified including recruitment, clinicians' lack of engagement with the program and inflexible course materials. Lay-led self-care support programs such as the EPP have a significantly positive effect on self-efficacy which could be of benefit to cancer survivors. However, a number of lessons should be learned from the EPP when developing similar initiatives for cancer survivors.

Indexed as

Self CareSocial SupportExerciseFitness CentersHealth PolicyHumansNeoplasmsPatient Education as TopicProfessional-Patient RelationsSurvivorsUnited Kingdom

Identifiers

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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.