Evidence map›Paper›PMID 31565040›Full record

ArticleInternational journal of integrated care2019

Methodological Quality of Economic Evaluations in Integrated Care: Evidence from a Systematic Review.

Mudathira Kadu, Nieves Ehrenberg, Viktoria Stein, Apostolos Tsiachristas

Abstract read
In one paragraph

Article in International journal of integrated care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Cost and effects of integrated care: a systematic literature review and meta-analysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    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.

Mudathira KaduInternational Foundation for Integrated Care, Oxford, UK.
Nieves EhrenbergInternational Foundation for Integrated Care, Oxford, UK.
Viktoria SteinInternational Foundation for Integrated Care, Oxford, UK.
Apostolos TsiachristasHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this review is to systematically assess the methodological quality of economic evaluations in integrated care and to identify challenges with conducting such studies. THEORY AND

methodsSearches of grey-literature and scientific papers were performed, from January 2000 to December 2018. A checklist was developed to assess the quality of economic evaluations. Authors' statements of challenges encountered during their evaluations were qualitatively coded.

resultsForty-four articles were eligible for inclusion. The review found that study design, measurement of cost and outcomes, statistical analysis and presentation of data were the areas with most quality variation. Authors identified challenges mostly related to time horizon of the evaluation, inadequate or lack of comparator group, contamination bias, and a post-hoc evaluation culture. DISCUSSION: Our review found significant differences in quality, with some studies showing poor methodological rigor; challenging conclusions on the cost-effectiveness of integrated care.

conclusionIt is essential for evaluators to use best-practice standards when planning and conducting economic evaluations, in order to build a reliable evidence base for decision-making in integrated care.

Indexed as

economic evaluationintegrated caremethodologyquality assessmentsystematic review

Identifiers

PMID31565040
PMCPMC6743034

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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.