↓ Skip to main content

A realist synthesis of cross-border patient movement from low and middle income countries to similar or higher income countries

Overview of attention for article published in Globalization and Health, August 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
75 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A realist synthesis of cross-border patient movement from low and middle income countries to similar or higher income countries
Published in
Globalization and Health, August 2017
DOI 10.1186/s12992-017-0287-8
Pubmed ID
Authors

Jo Durham, Sarah J. Blondell

Abstract

Patient travel across borders to access healthcare is becoming increasingly common and widespread. Patients moving from high income to middle income countries for healthcare is well documented, with patients seeking treatments that are cheaper or more readily available than at home. Less well understood is when patients move from one low income country to another or from a low income country to a higher income country. In this paper, a realist review was undertaken to explore why, in what contexts and how patients from lower income countries travel to countries with the same, or more advanced, economies for planned healthcare. Based on an initial scoping of the literature and discussions with key informants, we generated an initial theory and set of propositions about why, how, who and in what contexts people cross international borders for planned healthcare. We then systematically located and synthesized (1) peer-reviewed studies from the Scopus, Embase, Web of Science and Econlit databases; (2) non-indexed reports using key informants and Google; and (3) papers from the reference lists of included documents, to glean supportive or contradictory evidence for our initial propositions. As we reviewed the literature and extracted our data, we drew on the work of Pierre Bourdieu to understand the interplay between material and non-material capital and cognitive processes in decisions to cross borders for healthcare. Patient travel was largely undertaken due to a lack of services in the home country and/or unacceptability of local services, with decisions on when, and where, to travel, usually made within the patient's social networks. They were able to travel via use of multiple resources, including social networks, economic and cultural capital, and habitus. Those patients with greater volumes of the aforementioned factors had greater healthcare options; however, even those with limited resources engaged in patient travel. Patient movement challenges traditional ways of thinking about public health and the notion of health systems contained within the nation state. Further research is needed to better understand the effects of patient travel, and how to harness the benefits of patient travel without exacerbating existing health inequalities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Master 9 12%
Student > Ph. D. Student 8 11%
Lecturer 5 7%
Student > Doctoral Student 4 5%
Other 15 20%
Unknown 21 28%
Readers by discipline Count As %
Medicine and Dentistry 11 15%
Social Sciences 11 15%
Nursing and Health Professions 8 11%
Business, Management and Accounting 3 4%
Economics, Econometrics and Finance 3 4%
Other 9 12%
Unknown 30 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2017.
All research outputs
#8,213,980
of 24,609,626 outputs
Outputs from Globalization and Health
#877
of 1,181 outputs
Outputs of similar age
#122,800
of 320,488 outputs
Outputs of similar age from Globalization and Health
#22
of 29 outputs
Altmetric has tracked 24,609,626 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,181 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,488 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.