Evidence map›Paper›PMID 16773145›Full record

ArticleInternational journal of integrated care2004

Conceptualizing and validating the human services integration measure.

Gina Browne, Jacqueline Roberts, Amiram Gafni, Carolyn Byrne, June Kertyzia, Patricia Loney

Abstract read
In one paragraph

Article in International journal of integrated care, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  8. [Not Available].Canadian journal of public health = Revue canadienne de sante publique · 2016
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  11. Instruments to assess integrated care: a systematic review.International journal of integrated care · 2014
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  12. Article
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  14. Article
  15. Health systems integration: state of the evidence.International journal of integrated care · 2009
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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

6 authors.

Gina BrowneSystem Linked Research Unit (SLRU) on Health and Social Service Utilization, School of Nursing, Department of Clinical Epidemiology and Biostatistics, (CE&B) McMaster University, Hamilton, Ontario, Canada. browneg@mcmaster.ca
Jacqueline Roberts
Amiram Gafni
Carolyn Byrne
June Kertyzia
Patricia Loney

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposesThis paper proposes both a model and a measure of human service integration through strategic alliances with autonomous services as one way to achieve comprehensive health and social services for target populations. THEORY: Diverse theories of integrated service delivery and collaboration were combined reflecting integration along a continuum of care within a service sector, across service sectors and between public, not-for-profit and private sectors of financing services.

methodsA measure of human service integration is proposed and tested. The measure identifies the scope and depth of integration for each sector and service that make up a total service network. It captures in quantitative terms both intra and inter sectoral service integration.

resultsResults are provided using the Human Service Measure in two networks of services involved in promoting Healthy Babies and Healthy Children known to have more and less integration.

conclusionsThe instrument demonstrated discriminate validity with scores correctly distinguishing the two networks. The instrument does not correlate (r=0.13) with Weiss (2001) measure of partnership synergy confirming that it measures a distinct component of integration. DISCUSSION: We recommend the combined use of the proposed measure and the Weiss (2001) measure to more completely capture the scope and depth of integration efforts as well as the nature of the functioning of a service program or network.

Identifiers

PMID16773145
PMCPMC1393260

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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.