Evidence map›Paper›PMID 18304315›Full record

ArticleBMC health services research2008

Comparative indicators for cancer network management in England: availability, characteristics and presentation.

Mark McCarthy, Arturo Gonzalez-Izquierdo, Chris Sherlaw-Johnson, Artak Khachatryan, Michel P Coleman, Bernard Rachet

Abstract readComparative Study
In one paragraph

Article in BMC health services research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

6 authors.

Mark McCarthyUCL Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK. m.mccarthy@ucl.ac.uk
Arturo Gonzalez-Izquierdo
Chris Sherlaw-Johnson
Artak Khachatryan
Michel P Coleman
Bernard Rachet

Funding

Department of Health
6 · The paper itself

Abstract

backgroundIn 2000, the national cancer plan for England created 34 cancer networks, new organisational structures to coordinate services across populations varying between a half and three million people. We investigated the availability of data sets reflecting measures of structure, process and outcome that could be used to support network management.

methodsWe investigated the properties of national data sets relating to four common cancers - breast, colorectal, lung and prostate. We reviewed the availability and completeness of these data sets, identified leading items within each set and put them into tables of the 34 cancer networks. We also investigated methods of presentation.

resultsThe Acute Hospitals Portfolio and the Cancer Standards Peer Review recorded structural characteristics at hospital and cancer service level. Process measures included Hospital Episode Statistics, recording admissions, and Hospital Waiting-List data. Patient outcome measures included the National Survey of Patient Satisfaction for cancer, and cancer survival, drawn from cancer registration. Data were drawn together to provide an exemplar indicator set a single network, and methods of graphical presentation were considered.

conclusionWhile not as yet used together in practice, comparative indicators are available within the National Health Service in England for use in performance assessment by cancer networks.

Indexed as

Quality Indicators, Health CareCancer Care FacilitiesDatabases, FactualDecision Making, OrganizationalDelivery of Health Care, IntegratedEnglandHealth Care SurveysHealth Services AccessibilityHumansNeoplasmsOutcome and Process Assessment, Health CareRegional Medical ProgramsState MedicineSurveys and Questionnaires

Identifiers

PMID18304315
PMCPMC2292168

What OpenQuestion holds

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LicenceCC BY
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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.