Evidence map›Paper›PMID 17148531›Full record

ArticlePalliative medicine2006

Towards using administrative databases to measure population-based indicators of quality of end-of-life care: testing the methodology.

Eva Grunfeld, Lynn Lethbridge, Ron Dewar, Beverley Lawson, Lawrence F Paszat, Grace Johnston, Frederick Burge, Paul McIntyre, Craig C Earle

Abstract read
In one paragraph

Article in Palliative medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
–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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Rural versus urban differences in end-of-life care for lung cancer patients in Germany.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
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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

9 authors.

Eva GrunfeldCancer Outcomes Research Program, Cancer Care Nova Scotia, Dalhousie University, Halifax, Canada. eva.grunfeld@ccns.nshealth.ca
Lynn Lethbridge
Ron Dewar
Beverley Lawson
Lawrence F Paszat
Grace Johnston
Frederick Burge
Paul McIntyre
Craig C Earle

Funding

CIHR 80067-1
6 · The paper itself

Abstract

This study is concerned with methods to measure population-based indicators of quality end-of-life care. Using a retrospective cohort approach, we assessed the feasibility, validity and reliability of using administrative databases to measure quality indicators of end-of-life care in two Canadian provinces. The study sample consisted of all females who died of breast cancer between 1 January 1998 and 31 December 2002, in Nova Scotia or Ontario, Canada. From an initial list of 19 quality indicators selected from the literature, seven were determined to be fully measurable in both provinces. An additional seven indicators in one province and three in the other province were partially measurable. Tests comparing administrative and chart data show a high level of agreement with inter-rater reliability, confirming consistency in the chart abstraction process. Using administrative data is an efficient, population-based method to monitor quality of care which can compliment other methods, such as qualitative and purposefully collected clinical data.

Indexed as

Breast NeoplasmsDatabases as TopicQuality Indicators, Health CareCanadaCancer Care FacilitiesCohort StudiesFeasibility StudiesFemaleHumansMedical RecordsProcess Assessment, Health CareReproducibility of ResultsRetrospective StudiesTerminal Care

Identifiers

PMID17148531
PMCPMC3741158

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.