Evidence map›Paper›PMID 19340325›Full record

ArticleInternational journal of integrated care2009

Measurement of integrated healthcare delivery: a systematic review of methods and future research directions.

Martin Strandberg-Larsen, Allan Krasnik

Abstract read
In one paragraph

Article in International journal of integrated care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 8 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

60 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  6. Integrated care programmes for adults with chronic conditions: a meta-review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014
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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

2 authors.

Martin Strandberg-LarsenDepartment of Public Health, Faculty of Health Sciences, University of Copenhagen, Øster Farimagsgade 5, Building 15, Stairway B, Ground floor, 1014 Copenhagen K, Denmark, E-mail: M.strandberg-larsen@ifsv.ku.dk.
Allan Krasnik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegrated healthcare delivery is a policy goal of healthcare systems. There is no consensus on how to measure the concept, which makes it difficult to monitor progress. PURPOSE: To identify the different types of methods used to measure integrated healthcare delivery with emphasis on structural, cultural and process aspects.

methodsMedline/Pubmed, EMBASE, Web of Science, Cochrane Library, WHOLIS, and conventional internet search engines were systematically searched for methods to measure integrated healthcare delivery (published - April 2008).

resultsTwenty-four published scientific papers and documents met the inclusion criteria. In the 24 references we identified 24 different measurement methods; however, 5 methods shared theoretical framework. The methods can be categorized according to type of data source: a) questionnaire survey data, b) automated register data, or c) mixed data sources. The variety of concepts measured reflects the significant conceptual diversity within the field, and most methods lack information regarding validity and reliability.

conclusionSeveral methods have been developed to measure integrated healthcare delivery; 24 methods are available and some are highly developed. The objective governs the method best used. Criteria for sound measures are suggested and further developments should be based on an explicit conceptual framework and focus on simplifying and validating existing methods.

Indexed as

integrated healthcare deliveryliterature reviewmethodsquality of healthcare

Identifiers

PMID19340325
PMCPMC2663702

What OpenQuestion holds

Textmetadata
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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.