Trained medical interpreters in a face-to-face clinical setting
for patients with low proficiency in the local language
(Protocol)
Tsuruta H, Karim D, Sawada T, Mori R
This is a reprint of a Cochrane protocol, prepared and maintained by The Cochrane Collaboration and published in The Cochrane
Library 2013, Issue 3
http://www.thecochranelibrary.com
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
TABLE OF CONTENTS
HEADER . . . . . . . . . .
ABSTRACT . . . . . . . . .
BACKGROUND . . . . . . .
OBJECTIVES . . . . . . . .
METHODS . . . . . . . . .
ACKNOWLEDGEMENTS
. . .
REFERENCES . . . . . . . .
APPENDICES . . . . . . . .
CONTRIBUTIONS OF AUTHORS
DECLARATIONS OF INTEREST .
SOURCES OF SUPPORT . . . .
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Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
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i
[Intervention Protocol]
Trained medical interpreters in a face-to-face clinical setting
for patients with low proficiency in the local language
Hirofumi Tsuruta1 , Dilruba Karim2 , Takashi Sawada3 , Rintaro Mori4
1 Fujita Planning Co. Ltd., Shinjuku-ku, Japan. 2 Dhaka, Bangladesh. 3 Minatomachi Clinic, Yokohama-shi, Japan. 4 Department of
Health Policy, National Center for Child Health and Development, Tokyo, Japan
Contact address: Hirofumi Tsuruta, Fujita Planning Co. Ltd., 1-8-7 Kita-Shinjuku, Shinjuku-ku, Tokyo, 169-0074, Japan.
hirofumitsuruta@gmail.com.
Editorial group: Cochrane Consumers and Communication Group.
Publication status and date: New, published in Issue 3, 2013.
Citation: Tsuruta H, Karim D, Sawada T, Mori R. Trained medical interpreters in a face-to-face clinical setting for patients
with low proficiency in the local language. Cochrane Database of Systematic Reviews 2013, Issue 3. Art. No.: CD010421. DOI:
10.1002/14651858.CD010421.
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
ABSTRACT
This is the protocol for a review and there is no abstract. The objectives are as follows:
To assess the effects of trained medical interpreters in face-to-face clinical settings for patients with low proficiency in the local language
on:
1. the quality of communication between patient and provider (as a precondition for the utilisation of professional knowledge to
provide quality health care);
2. the quality of health care, and health outcomes; and
3. the cost benefit, cost effectiveness and cost utility of interventions by trained medical interpreters.
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
1
BACKGROUND
Description of the condition
Population mobility is a global phenomenon, with about 214 million people, 3.1% of the world’s population, living outside their
country of birth (UN 2008). This number is increasing by almost 2% each year (UN 2008), creating various challenges for the
countries of origin, host countries, and the migrants themselves
(IOM 2010). Among these challenges is migrants’ health. When
they move, migrants can become vulnerable to disease and may
face barriers to accessing appropriate health care due to poverty,
marginal status, and/or limited access to social benefits (WHO
2003; IOM 2005; Ghent 2008). Although several studies have
observed that the health of some populations improves after migration (Friis 1998), and that some populations are healthier than
others, these positive effects may be lost over time (Ahmad 2004).
Because many migrants are not familiar with the local language,
in face-to-face clinical settings they face language barriers that
can diminish the quality of health care they receive. A number of studies have described the negative impact of language
barriers on the quality of health services, on the utilisation of
these services, and on patients’ health status as an outcome of
service quality. These include excess hospitalisation, medical errors, and drug complications (Hampers 1999; Gandhi 2000; Bard
2004); poor access to medical care (Weinick 2000; Pippins 2007;
DuBard 2008; Cruz-Flores 2011), and poor access to services promoting healthy behaviour change (Woloshin 1997; Jacobs 2005;
Johnson-Kozlow 2009; Kaur 2009). Language barriers cause communication problems and misunderstanding of patients’ explanations of their symptoms and health history. They also inhibit the
health provider’s presentation of diagnosis, treatment and suggestions for healthful behavioural changes, and the development of
a therapeutic patient-provider alliance. In the diagnosis and treatment process, and particularly for illnesses that cannot be identified by observable symptoms, this communication gap can lead to
serious problems. The alleviation of language barriers may address
these problems. One means of achieving this is by using trained
medical interpreters.
Description of the intervention
A ‘trained medical interpreter’ works to overcome language and
cultural barriers in a clinical setting (Hornberger 1997; Flores
2005; Bauer 2010; Leanza 2010) through oral restatement of
words from one language into another language, simultaneously
or consecutively. Trained medical interpretation is not simply any
intervention involving an interpreter to provide a linguistic bridge
between patient and health provider. There is no universal definition of the term ’trained medical interpreter’, and different standards and training have been required by different institutions,
agencies, and in various locations The International Medical Interpreters Association (IMIA) has defined standards of practice in
the following three areas (IMIA 2007):
1. clinical interpretation,
2. cultural interface (understanding, attitudes and practices to
reduce culturally-based dissimilarities of perception,
presentation, course, and outcomes of illness, wellness and
treatment as between providers and patients), and
3. ethical behaviour.
Reflecting these standards, we define a trained medical interpreter
as an internal (staff member employed in health facility in which
a patient receives services) or external interpreter (staff member
employed in different organisation from health facility in which
a patient receives services), who has received training in clinical
interpretation, particularly in some or all of these three areas of
practice. It is reasonable to assume that trained medical interpreters
provide superior and more accurate interpretation than untrained
interpreters.
There is variation in how trained medical interpretation is delivered and utilised. For example, the quality of interpretation may
vary depending on the professional interpreter’s training. In addition, the cost of using professional interpreters is often regarded
as a barrier to use, even though some studies have reported that
the use of trained medical interpreters can offer cost benefits to
the healthcare system, over other approaches or no interpretation
(Hampers 2002; Jacobs 2004). Two obstacles to such positive utilisation, as pointed out in a recent study, are the availability of
trained medical interpreters and accessibility to the agencies that
provide them (Hadziabdic 2011).
Our review will compare the involvement of trained medical interpreters with other approaches which have similar goals but do
not involve trained medical interpreters. These include ad hoc
interpreters, bilingual health providers, and translated materials
(Riddick 1998; Flores 2005). An ad hoc external interpreter is a
friend, family member, relative, etc. who takes on the role of clinical interpreter, but has not received any training in interpretation.
Ad hoc interpretation may be more convenient but also problematic, because an ad hoc interpreter may lack appropriate interpretation skills and knowledge of medical terminology. Also, the patient’s confidentiality may be compromised, and vital information
may be distorted (Launer 1978; Flores 2005; Leanza 2010). A
bilingual employee (ad hoc internal interpreter) is a health worker
or support worker in a healthcare facility who takes on the role
of clinical interpreter without having formal training in interpretation (Johnson 1998; Elderkin-Thompson 2001; Sevilla Matir
2004; Bischoff 2010). Finally, translated materials include documents and flip charts that offer written communication without an interpreter. Health providers and patients can communicate by pointing to an appropriate phrase in their respective languages, but optimal use requires the health provider to be trained
to use them effectively as well as the patient to be literate in his/her
mother tongue, which is not always the case. Each of the above
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
2
modes of intervention may be best suited to different circumstances (Garcia-Castillo 2007; Vazquez Navarrete 2009; Manias
2010).
• Medical conditions that require sexual/cultural sensitivity:
Some conditions such as reproductive illness, which are highly
personal, call for sensitivity to sexual issues, which can influence
the interaction between interpreter and patient.
How the intervention might work
Why it is important to do this review
One aspect of the quality of health care for migrant patients is the
degree to which their specific linguistic, cultural, and any other
needs stemming from their migrant status are met in the process of
healthcare delivery. Effectively meeting these needs increases the
likelihood of achieving desired health outcomes consistent with
the current state of professional knowledge (Lohr 1990). Trained
medical interpretation can impact on various aspects of healthcare
quality. Specifically, it can improve communication quality (Baker
1996; Flores 2003), and patient and healthcare provider satisfaction with communication (Lee 2002; Al-Khathami 2010). The
quality of communication can have a substantial influence on: the
suitability of clinical responses; diagnostic certainty and the likelihood of testing (Dodd 1984; Drennan 1996; Hampers 2002);
timeliness in seeking medical care (Drennan 1996); visit duration
(Kravitz 2000; Hampers 2002; Fagan 2003); the utilisation of
services including preventive screening (Bell 1999; Jacobs 2001;
Bernstein 2002; Dang 2010); appointment keeping (Manson
1988; Sarver 2000); and the length of stay in hospital (Hampers
2002).
The context in which interpretation takes place can shape its effect, because medical interpretation is practised in different service settings and among different target groups. Our review will
consider (in subgroup analyses) the following contextual factors,
although we recognise that they may be poorly reported in studies:
• Interpreters’ training experience: Fulfilment or nonfulfilment of the three categories of standard practice
recommended by IMIA, mentioned above, can influence the
interpreter’s competency. Interpreters’ training experience can
vary in terms of the content, duration and intensity of each of
the three categories of standard practice (IMIA 2007).
• Gender: The gender of the interpreter, or gender
disharmony between the interpreter and patient, may influence
their interaction (Roussos 2010).
• Age of patient: Communication can differ between
children, adolescents and adults due to differences in emotional
development and cognitive ability. Quality of interpretation may
influence the emotion and attitude of younger patients to health
providers. For example, because paediatric patients may be
intimidated in front of adults, they may not be able to verbalise
their health condition (Purvis 2009).
• Patient literacy: Information through interpretation for
illiterate patients may be limited, since written materials in the
patient’s own language, for medication and for home follow-up
or self-care, cannot be used as a supportive tool for medical
interpretation.
Although some benefits of language interpretation are quite obvious, there is no systematic review of the effects of interpretation
on the quality of health services. It is necessary to quantify the
impact of interpretation on the quality of health care, in order to
clarify its cost-effectiveness and the advantages it offers, as well as
any disadvantages.
This review will provide such quantitative information on the impact of trained medical interpreters in face-to-face clinical settings,
compared with other interpretation and translation measures. It
will also present a subgroup analysis of the contexts in which interpretation takes place.
This information will offer essential assistance to policy makers,
health facilities, and patients in the effective and efficient development of interpretation services, particularly in systems with a
diversified context that serve patients with low proficiency in the
local language.
OBJECTIVES
To assess the effects of trained medical interpreters in face-toface clinical settings for patients with low proficiency in the local
language on:
1. the quality of communication between patient and provider
(as a precondition for the utilisation of professional knowledge to
provide quality health care);
2. the quality of health care, and health outcomes; and
3. the cost benefit, cost effectiveness and cost utility of
interventions by trained medical interpreters.
METHODS
Criteria for considering studies for this review
Types of studies
1. Randomised controlled trials (RCTs)
2. Cluster RCTs
3. Randomised cross-over trials
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
3
4. Quasi-RCTs
We will include quasi-RCTs as there are likely to be few RCTs
available for inclusion in the review.
quality of interpretation, and secondary outcomes can be analysed
using various measurements.
Primary outcomes
Types of participants
1. Patients of any age with low proficiency in the local
language, as determined by the study authors
2. Health personnel who provide services for patients of any
age with low proficiency in the local language
Each participant will be analysed separately.
Types of interventions
The main intervention to be considered is interpretation by a
trained medical interpreter, in a face-to-face clinical setting.
The trained medical interpreter is an external or internal interpreter who has received training in medical interpretation, especially in all or some of the following areas:
1. clinical interpretation,
2. cultural interface, and
3. ethical behavior (IMIA 2007).
An external interpreter is defined as an individual on dispatch from
an outside organization such as a professional interpretation firm.
An internal interpreter is defined as an individual employed in the
health facility in which a patient receives care.
The intervention will be compared with one of the following control interventions:
• Ad hoc external interpreter: a friend, family member, etc.,
who takes on the role of medical interpreter, but has not received
any training in interpretation.
• Bilingual employee (ad hoc internal interpreter): health
worker, support worker at a health facility who takes on the role
of medical interpreter, but has not received any training in
interpretation.
• Translated materials: document, flip chart, etc. for
interpretation without an interpreter.
• No interpretation.
Each comparison group will be analysed separately. We will not include comparison groups assessing remote interpretation via telephone or online.
Types of outcome measures
In accordance with the definition of quality of health care for
patients with a low level of proficiency in the local language, we
regard quality of communication as the primary outcome, which
is a precondition for utilisation of professional knowledge, and can
change the quality of health care either directly or indirectly. We
regard the provision of health services, patients’ health status and
cost-benefit/effectiveness of medical interpretation as secondary
outcomes. Primary outcomes can be determined by evaluating
Quality of communication in medical interpretation
1) Quality of interpretation practice: omission of words or phrases,
fluency of interpretation, substitution of words or phrases, editorialisation of words or phrases, addition of words or phrases
Measured by counting from audio or video record, self-report, or
health provider report.
Interpretation of the results of analysis for these outcomes will
be cautious. Omission, false fluency, substitution, editorialisation,
and addition during interpretation are not always errors. They
might be required to transform a patient or healthcare provider’s
discourse to make it understandable. In addition, the person assessing the audio or video record may be a trained interpreter
who has a vested interested in showing that ’trained medical interpreters’ have beneficial effects compared to no interpretation or
other forms of interpretation (high risk of bias).
2) Quality of interpretation perceived by patient and/or health
provider: patient understanding of diagnosis and treatment; patient satisfaction with information provided, decision made and
interpretation; health provider satisfaction with information provided, decision made and interpretation; patient’s sense of control over communication via interpretation; and health provider’s
sense of control over communication via interpretation.
Measured by self-report, health provider report, or standardised
instruments.
In the table ’ Characteristics of Included Studies’ we will describe
clearly the instruments used for outcome measurement, as well as
the translation process to researchers, to achieve transparency of
the data because some outcomes may be controversial. For example, patient satisfaction is widely used as an indicator to assess the
quality of health care, but it is difficult to define this parameter
because satisfaction can be influenced by various factors, such as
patient/provider expectation, age, illness, previous experience, patient-health provider relationship, choice of provider, gender, ethnicity, and socio-economic status. In practice, there is no universally accepted method for the measurement of satisfaction (Saila
2008). In addition, articles may not report the details of the measurement and/or instruments used. Patient satisfaction can be low
despite high quality interpretation.
Secondary outcomes
1) Patient engagement with health services
Delays in seeking medical care, visit duration, utilization of health
services including preventive screening, missed appointments,
length of hospitalisation.
Measured by medical records and the administrative databases of
healthcare facilities.
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
4
2) Provision of health services
Diagnostic uncertainty, and the amount of medical testing. Communication problems can cause increased diagnostic uncertainty,
which can then increase the amount of testing done.
Measured by medical records, and administrative databases of
healthcare facilities.
3) Health outcomes (including health behavior, skills acquisition,
medical errors, and drug complications).
Measured by medical records, administrative databases of healthcare facilities, standardized instruments, self-report, and provider
report.
4) Cost and cost benefits, and effectiveness of medical interpretation
Measured or calculated by the cost of medical interpretation and
the effects on health services (i.e. Impact on the cost of health
services as well as the health outcomes achieved).
Handsearching
We will manually search the following journals; Journal of Immigrant Minority Health (2006 to 2012), Social Science and
Medicine (1967 to 2012) and the Journal of General Internal
Medicine (1986 to 2012). We will also search reference lists of
relevant studies.
Correspondence
We will contact experts in the field and authors of included studies
for advice as to other relevant studies.
Data collection and analysis
Selection of studies
Search methods for identification of studies
Electronic searches
We will search for studies using the following databases:
• Cochrane Central Register of Controlled Trials
(CENTRAL, The Cochrane Library),
• MEDLINE (OvidSP),
• PsycINFO (OvidSP),
• Dissertations & Theses Database (Proquest),
• ERIC (OvidSP),
• Index to Theses,
• Social Services Abstracts (CSA Illumina),
• Sociological Abstracts (CSA Illumina).
• Linguistic and Language Behavior Abstracts (CSA
Illumina).
We present the strategy for MEDLINE in Appendix 1. Strategies
will be tailored to other databases and reported in the review. There
will be no language or date restrictions.
Searching other resources
Grey literature
We will search the reports and conference proceedings of IMIA
and document resources linked in their web site (e.g. “Annotated Bibliography on Language Access and Interpretation” (http:/
/www.imiaweb.org/resources/AnnotatedBibliography.asp)), and
the reports and conference proceedings of Critical Link International (http://criticallink.org/)
Two review authors will screen independently the titles and abstracts of the studies identified by the searches. We will retrieve
full copies of all potentially-relevant articles selected by either of
the authors. The two authors will then independently determine
if studies meet the inclusion criteria mentioned above. We will
list studies that initially appear to meet the inclusion criteria but
are later excluded in the table ’Characteristics of excluded studies’ with reasons for their exclusion. We will settle disagreements
between the two authors through discussion with a third author.
Potentially-relevant studies in languages other than English will
be translated by collaborators within a group and/or translation
agency in order to be considered for inclusion. We will provide citation details and any available information about ongoing studies
and report details of duplicate publications. In addition, we will
report the screening and selection process in an adapted PRISMA
flowchart.
Data extraction and management
We will develop a ’data extraction’ sheet (based on the Cochrane
Consumer and Communication Review Group’s data extraction
template), pilot test it on ten randomly-selected included studies, and refine it accordingly. Independently, two authors will extract data from the included studies. Information extracted will include study design, information about the participants including
patient’s language proficiency, type of intervention, setting, and
outcomes. We will settle disagreements between the two authors
through discussion with a third author.
The patient’s language proficiency is assessed by the study authors,
who may ask questions in the local language and in the mother
tongue of the patients to find whether there are concordant answers between the two languages. However, some studies might
not describe how they identified patients with low proficiency in
the local language. In this review, we will report on the method
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
5
used to identify the language proficiency in the table ’Characteristics of Included Studies’ and assess it as another source of bias
(selection bias) in the assessment of the risk of bias. We will also
report on the method used by the study authors to identify the
health providers included in the studies.
All data will be entered into RevMan by one review author and
checked for accuracy against the data extraction sheets by the other
author working independently.
Assessment of risk of bias in included studies
Two review authors will assess the risk of bias of included studies using the criteria from the Cochrane Collaboration’s tool
(adapted to the Cochrane Consumer and Communication Review Group’s data extraction template) as detailed in the Cochrane
Consumer and Communication Review Group’s Study Quality
Guide (CCRG 2011). These criteria consist of the following six
domains:
• Sequence generation: judged by the method used to
generate the allocation sequence, reported in sufficient detail to
allow an assessment of whether it should produce comparable
groups. (Quasi-RCTs will be rated as ’high risk’ of bias for
sequence generation as the methods were not, by definition,
truly random).
• Allocation concealment: judged by the method used to
conceal the allocation sequence, reported in sufficient detail to
determine whether intervention allocation could have been
foreseen in advance of, or during, enrolment.
• Blinding of participants and personnel: judged by all
measures used, if any, to blind study participants and personnel
from knowledge of which intervention a participant received,
and by any information relating whether the intended blinding
was effective.
• Blinding of outcome assessment: judged by all measures
used, if any, to blind outcome assessors from knowledge of which
intervention a participant received, and by any information
relating whether the intended blinding was effective.
• Incomplete outcome data: judged by the completeness of
outcome data for each main outcome, including attrition and
exclusions from the analysis. If 80% or more of the data are
complete, it will be rated as ’low risk’ of bias. Otherwise, it will
be rated as ’high risk’ of bias. If it cannot be identified in a study,
it will be rated as being at ’unclear’ risk of bias.
• Selective outcome reporting: judged by the review authors’
findings about the possibility of selective outcome reporting. If a
study protocol is available and all outcomes in the study method
are reported by the study report it will be rated as ’low risk’ of
bias; if no protocol is available and not all outcomes in the
method are reported it will be rated as ’high risk’ of bias; if no
protocol is available but all outcomes in the method are reported
it will be rated as being at ’unclear’ risk of bias.
• Other sources of bias: the authors will identify any
important concerns about bias not addressed in the other
domains. For example, we will assess the method used to identify
patients’ language proficiency as a source of potential selection
bias. In addition, we will assess the baseline discordance between
groups. If cluster RCTs are included in the review we will also
assess and report the risk of bias associated with selective
recruitment of cluster participants (CCRG 2011).
Further, as outlined in the Cochrane Handbook (Higgins 2011),
we will categorise the risk of bias of included studies as: low risk
of bias (plausible bias unlikely to seriously alter the results), unclear risk of bias (plausible bias that raises some doubt about the
results), and high risk of bias (plausible bias that seriously weakens
confidence in the results).
Two authors will conduct the risk of bias assessment independently. Disagreements will be resolved by discussion between the
two review authors; if agreement cannot be reached, a third review
author will decide.
The risk of bias of included studies will be used to inform the
discussion of the review’s findings.
Measures of treatment effect
Continuous data
We anticipate that the majority of outcomes will be measured
and reported as continuous data. We will compute a standardised mean difference (SMD) for continuous outcome variables,
with a 95% confidence interval (CI). For this review, a corrected
Hedges’ g will be computed by dividing the difference between
intervention means (trained interpreters versus other interpretation) by the pooled and weighted standard deviation of the intervention. Specifically, Hedges’ g corrects for a bias (overestimation)
that occurs when the uncorrected SMD effect size is used on small
samples. The combined effect size for each outcome will be computed as a weighted mean of the effect size for each study, with the
weight being the inverse of the square of the standard error. Thus,
a study will be given greater weight for a larger sample size and
more precise measurement, both of which reduce standard error.
Dichotomous data
We will compute odds ratios (ORs) for dichotomous outcomes
with a 95% CI. Based on the assumption of proportional odds,
ORs can be compared between variables with different distributions, including very rare and more frequent occurrences.
Unit of analysis issues
Cluster-randomised trials
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
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If the unit of allocation (e.g. hospital) is different from the unit of
analysis (e.g. people with low proficiency in the local language),
we will seek statistical advice to determine whether appropriate
methods were used to avoid unit-of-analysis errors. When suitable
cluster analysis is used, effect estimates and their standard errors
will be meta-analysed. Otherwise they will be excluded from the
meta-analyses unless the review authors can control for the clustering from the available information.
Crossover trials
If studies are conducted in crossover design, we will use the results
from the first intervention period.
plots and by examining the Chi2 test for heterogeneity. Heterogeneity will be quantified using the I2 statistic. An I2 value of 50%
or more with a P value from the test < 0.1 will be considered to
represent substantial levels of heterogeneity.
If we detect substantial clinical, methodological or statistical heterogeneity across included studies, we will not report pooled results from meta-analysis, but will instead use a narrative approach
to data synthesis. In this case we will attempt to explore possible
clinical or methodological reasons for this variation by grouping
studies that are similar in terms of training experience of trained interpreter, interpreter’s gender and/or gender discordance between
interpreter and patient, age of patient, literacy of patient, or medical condition.
Assessment of reporting biases
Multiple intervention groups
Within the intervention and/or control groups mentioned in the
section Types of interventions, if multiple groups with different
individuals are presented in studies, all relevant intervention and/
or control groups will be combined into a single group to create a
single pair-wise comparison.
If the multiple intervention and/or control group include the same
individuals, only one intervention group will be compared to the
control group to avoid overlapping samples. Data from studies
comparing different type of interventions/ comparisons will be
analysed separately.
Dealing with missing data
Although studies with incomplete outcome data (e.g. missing
means, standard deviations, sample sizes) will be included in the
review, we will exclude them from the meta-analyses unless we
can calculate an effect size from the available information. When
outcome data may be missing from an article or report, we will
make reasonable attempts to retrieve these data from the original
researchers. We will account for overall and differential attrition
in the risk of bias and sensitivity analyses.
Assessment of heterogeneity
Clinical heterogeneity may be a prevalent issue. The contents of
training, and the experience and ability of medical interpreters
may differ among individuals. Health providers’ cultural competence, clinical skills and medical specialty may be diverse. Further,
patients’ background, illness and previous experiences in the clinical setting may be diverse.
If studies are considered homogeneous based on consideration of
the intervention’s features (the interpreter’s training experience,
their gender and/or gender discordance between interpreter and
patient) and patient factors (the patient’s age, literacy or their medical condition), to allow pooling of data using meta-analysis, we
will assess the degree of heterogeneity by visual inspection of forest
We will investigate possible reporting biases by means of funnel
plots and testing for funnel plot asymmetry using Egger’s test (
Higgins 2011). If important asymmetries are found, possibly due
to small-study effects (the tendency for effect sizes from small
studies to deviate from effect sizes from large studies), we will
undertake a sensitivity analysis using the ’trim and fill’ method to
correct for the asymmetry.
Data synthesis
The decision to meta-analyse data or not will be based on an assessment of whether the interventions in the included study are
similar enough in terms of participants intervention, comparison
and outcome measures to ensure meaningful conclusions if data
are statistically pooled. Due to the anticipated variability in training experience of trained interpreter, gender of interpreter and/or
gender discordance between interpreter and patient, age of patient,
literacy of patient, or medical condition, we will use a randomeffects model for meta-analysis.
If a study reports multiple effect sizes, the results will be included
in the meta-analysis for each outcome. If a study reports effect sizes
for multiple samples, the results will be aggregated for the main
effects meta-analysis before being used for the subgroup metaanalyses.
If we are unable to pool the data statistically using meta-analysis,
we will group the data based on the category that best explores the
heterogeneity of studies and makes most sense to the reader (i.e.
by interventions, populations or outcomes). Within each category
we will present the data in the tables and summarise the results
narratively .
Subgroup analysis and investigation of heterogeneity
We will consider subgroup analyses to examine different effects of
the intervention or subgroup characteristics as follows:
• Training experience of trained interpreter based on the
three categories of standard practice recommended by IMIA: (1)
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Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
7
interpretation, (2) cultural interface, and (3) ethical behavior, as
well as (4) duration or intensity of training.
• Gender of interpreter and/or gender discordance between
interpreter and participant.
• Age of patient (child, adolescent and adult). Children,
adolescent, adults are defined as young people less than 10 years
old, young people between 10 and 19 years old and people more
than 19 years old, respectively.
• Literate and illiterate patients.
• Medical conditions that need sexual/cultural sensitivity.
This subgroup analysis will take comparison groups separately into
analyses, because the variability among comparison intervention
groups across studies might impact on the outcomes more than
any of the characteristics mentioned above.
Sensitivity analysis
Sensitivity analyses will be considered to explore the impact of the
risk of bias dimensions on the outcomes of the review. Specifically,
we will consider the following comparisons:
• RCT and quasi-RCT.
• Studies with low overall or differential completeness of
outcome data, and studies with high overall or differential
completeness of outcome data. If 20% or more of outcome data
are incomplete, it will be rated as ’low’ completeness. Otherwise,
it will rated as ’high’ completeness.
Consumer views and participation
In order to obtain consumer views and feedback on the interpretation of meta-analysis results, we will conduct the following:
• a descriptive (non-systematic) review of qualitative research
on the quality of medical interpretation and its impact;
• after the completion of the meta-analysis, an in-depth
interview or focus group discussion in Japan; and
• a similar interview/discussion in Bangladesh.
The descriptive review can provide supplemental information on
consumer views, especially where accessibility to consumer views
or the variety of accessible consumer views is limited. In this study,
‘consumers’ include patients with low proficiency in the local language, healthcare providers, medical interpreters, administrative
staff of health facilities, and public employees.
The results of these methods will be included in the Cochrane
review’s ’Discussion’ to assist us to interpret the results of any metaanalysis.
1) Descriptive (non-systematic) review of qualitative research into
the quality of medical interpretation and its impact
We will conduct a descriptive review of qualitative research. Because qualitative research is generally used to gain in-depth understanding of and insight into human practices and the reasons
that govern such practices, it will be useful in this review to understand consumer views on medical interpretation. In addition,
the review will be able to cover a greater variety of populations
and clinical settings, in comparison to direct contact with different consumers mentioned below in methods 2) and 3). We will
identify articles for this descriptive review through the process of
selection of literature for meta-analysis, particularly through the
process of searching other resources. We will select studies with
in-depth interviews, focus group discussions, and other participatory methods analysed with grounded theory, for this descriptive
review.
2) In-depth interview and/or focus group discussion with consumers or supporting organizations (in Japan)
We will conduct in-depth interviews and/or focus group discussions with different consumer groups or supporting organizations
to obtain feedback on meta-analysis results. With this method,
diversity by ethnicity or native country may be looked into more
deeply, particularly in comparison to method 3). The in-depth interview/focus group discussion will take place at least three times
with three different consumers, to enable triangulation of data.
The information may be gained mainly from supporting organizations for patients with low proficiency in the local language, rather
than patient themselves.
3) In-depth interview and/or focus group discussion with returnees (in Bangladesh) who have experience as patients with low
local-language proficiency in a host country
In-depth interviews and/or focus group discussions will be conducted with returnees who went abroad to work and/or live and
then returned to Bangladesh, and who have experience as patients
with low local-language proficiency in a host country. By involving
such returnees, more in-depth information can be gleaned to better understand the context of medical interpretation. In addition,
the diversity of the host country may be looked into more deeply,
in comparison to method 2). In migrant host countries such as
Japan, it is sometimes difficult to access patients with low locallanguage proficiency or, sometimes, they hesitate to participate
in research. In addition, the analysis on the data gathered can be
complicated, time consuming, and expensive because the process
of qualitative analysis has to include language interpretation of indepth interviews and focus group discussions, translation of transcripts of interviews and discussions for analysis, and translation
of the analysis results for verification.
ACKNOWLEDGEMENTS
We thank Dr. Brian McKinstry of the University of Edinburgh,
the contact editor of this review, and Dr. Megan Prictor, the Managing Editor of Cochrane Consumers and Communication Review Group, for their continuous suggestions and support since
the title registration.
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Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
8
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∗
Indicates the major publication for the study
APPENDICES
Appendix 1. MEDLINE (OvidSP) Search Strategy
1. translating/
2. communication/
3. communication barriers/
4. ((communication or language or linguistic) adj barrier*).tw.
5. exp professional patient relations/
6. professional-family relations/
7. hospital-patient relations/
8. community-institutional relations/
9. interviews as topic/
10. “referral and consultation”/
11. minority groups/
12. (second language* or ((language or low or limited or english) and proficien*)).tw.
13. (language adj (concordan* or discordan*)).tw.
14. health services accessibility/
15. cultural competency/
16. cultural diversity/
17. transcultural nursing/
18. ((cultural* or multicultural or transcultural or cross-cultural or ethnic*) adj3 (service* or care)).tw.
19. or/2-18
20. 1 and 19
21. ((medical or healthcare or health care or professional or trained) adj (interpret* or translat*)).tw.
22. (interpreter? or translator or translators).tw.
23. ((interpret* or translat* or language or linguistic*) adj2 (service* or assist*)).tw.
24. language support.tw.
25. interpreted consult*.tw.
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Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
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26. or/20-25
27. randomized controlled trial.pt.
28. controlled clinical trial.pt.
29. clinical trial.pt.
30. evaluation studies.pt.
31. comparative study.pt.
32. random*.tw.
33. placebo*.tw.
34. trial.tw.
35. research design/
36. follow up studies/
37. prospective studies/
38. cross over studies/
39. (experiment* or intervention*).tw.
40. (pre test or pretest or post test or posttest).tw.
41. (preintervention or postintervention).tw.
42. time series.tw.
43. (cross over or crossover or factorial* or latin square).tw.
44. (assign* or allocat* or volunteer*).tw.
45. (control* or compar* or prospectiv*).tw.
46. (impact* or effect? or chang* or evaluat*).tw.
47. or/27-46
48. exp animals/ not humans.sh.
49. 47 not 48
50. 26 and 49
CONTRIBUTIONS OF AUTHORS
HT conceived, designed, drafted and coordinated the protocol. RM contributed to the writing of the protocol. RM, DK, and TS
commented upon and approved the final version of the protocol.
DECLARATIONS OF INTEREST
None known
SOURCES OF SUPPORT
Internal sources
• Medical Library, University of Tokyo, Japan.
In-kind support for searching articles
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
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External sources
• No sources of support supplied
Trained medical interpreters in a face-to-face clinical setting for patients with low proficiency in the local language (Protocol)
Copyright © 2013 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
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