Evidence map›Paper›PMID 27252672›Full record

ArticleFrontiers in psychology2016

Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel.

Eduardo Garcia-Garzon, Peter Zhukovsky, Elisa Haller, Sara Plakolm, David Fink, Dafina Petrova, Vaishali Mahalingam, Igor G Menezes, Kai Ruggeri

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In one paragraph

Article in Frontiers in psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Eduardo Garcia-GarzonPolicy Research Group, Department of Psychology, University of CambridgeCambridge, UK; Departamento de Psicología Social y Metodología, Facultad de Psicología, Universidad Autónoma de MadridMadrid, Spain.
Peter ZhukovskyDepartment of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge Cambridge, UK.
Elisa HallerDepartment of Psychology, Clinical Psychology with Focus on Psychotherapy Research, University of Zurich Zurich, Switzerland.
Sara PlakolmUnit for Paediatric and Adolescent Psychiatry, Division of Paediatrics, University Medical Centre Maribor Maribor, Slovenia.
David FinkDepartment of Psychology, Cognitive and Affective Neuroscience, University of Zurich Zurich, Switzerland.
Dafina PetrovaDepartment of Experimental Psychology, Mind, Brain, and Behavior Research Center, University of Granada Granada, Spain.
Vaishali MahalingamDepartment of Psychology, University of Cambridge Cambridge, UK.
Igor G MenezesQuantitative Methods and Predictive Psychometrics, Institute of Psychology, Federal University of Bahia Salvador, Brazil.
Kai RuggeriPolicy Research Group, Department of Psychology, University of CambridgeCambridge, UK; Department of Engineering, Engineering Design Centre, University of CambridgeCambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical travel has expanded rapidly in recent years, resulting in new markets and increased access to medical care. Whereas several studies investigated the motives of individuals seeking healthcare abroad, the conventional analytical approach is limited by substantial caveats. Classical techniques as found in the literature cannot provide sufficient insight due to the nested nature of data generated. The application of adequate analytical techniques, specifically multilevel modeling, is scarce to non-existent in the context of medical travel. This study introduces the guidelines for application of multilevel techniques in public health research by presenting an application of multilevel modeling in analyzing the decision-making patterns of potential medical travelers. Benefits and potential limitations are discussed.

Indexed as

hierarchical linear modelmedical tourismmedical travelmultilevel modelpolicypolicy researchpublic health

Identifiers

PMID27252672
PMCPMC4877536

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.