Evidence map›Paper›PMID 31964347›Full record

ArticleBMC medical research methodology2020

Integrated Care Search: development and validation of a PubMed search filter for retrieving the integrated care research evidence.

Raechel A Damarell, Suzanne Lewis, Camilla Trenerry, Jennifer J Tieman

Abstract readValidation Study
In one paragraph

Article in BMC medical research methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

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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

4 authors.

Raechel A DamarellFlinders Filters, Flinders University, GPO Box 2100, Adelaide, South Australia, Australia. Raechel.damarell@flinders.edu.au.ORCID 0000-0002-6737-7537
Suzanne LewisLibrary Services, Central Coast Local Health District, Gosford Hospital, PO Box 361, Gosford, NSW, 2250, Australia.
Camilla TrenerryFlinders Filters, Flinders University, GPO Box 2100, Adelaide, South Australia, Australia.
Jennifer J TiemanFlinders Filters, Flinders University, GPO Box 2100, Adelaide, South Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegrated care is an increasingly important principle for organising healthcare. Integrated care models show promise in reducing resource wastage and service fragmentation whilst improving the accessibility, patient-centredness and quality of care for patients. Those needing reliable access to the growing research evidence base for integrated care can be frustrated by search challenges reflective of the topic's complexity. The aim of this study is to report the empirical development and validation of two search filters for rapid and effective retrieval of integrated care evidence in PubMed. One filter is optimised for recall and the other for precision.

methodsAn Expert Advisory Group comprising international integrated care experts guided the study. A gold standard test set of citations was formed from screening Handbook Integrated Care chapter references for relevance. This set was divided into a Term Identification Set (20%) for determining candidate terms using frequency analysis; a Filter Development Set (40%) for testing performance of term combinations; and a Filter Validation Set (40%) reserved for confirming final filter performance. In developing the high recall filter, recall was steadily increased while maintaining precision at ≥50%. Similarly, the high precision filter sought to maximise precision while keeping recall ≥50%. For each term combination tested, an approximation of precision was obtained by reviewing the first 100 citations retrieved in Medline for relevance.

resultsThe gold standard set comprised 534 citations. The search filter optimised for recall ('Broad Integrated Care Search') achieved 86.0-88.3% recall with corresponding low precision (47-53%). The search filter optimised for precise searching ('Narrow Integrated Care Search') demonstrated precision of 73-95% with recall reduced to between 55.9 and 59.8%. These filters are now available as one-click URL hyperlinks in the website of International Foundation for Integrated Care.

conclusionsThe Broad and Narrow Integrated Care Search filters provide potential users, such as policy makers and researchers, seamless, reliable and ongoing access to integrated care evidence for decision making. These filters were developed according to a rigorous and transparent methodology designed to circumvent the challenges of information retrieval posed by this complex, multifaceted topic.

Indexed as

PubMedDecision MakingDelivery of Health Care, IntegratedHumansPatient-Centered CareQuality of Health CareInformation retrievalIntegrated careLiterature searchingPrecisionPubMedRecallSearch filters

Identifiers

PMID31964347
PMCPMC6971984

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.