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Health Serv Res. 2007 April; 42(2): 727–754.
PMCID: PMC1955368

Do Professional Interpreters Improve Clinical Care for Patients with Limited English Proficiency? A Systematic Review of the Literature

Abstract

Objective

To determine if professional medical interpreters have a positive impact on clinical care for limited English proficiency (LEP) patients.

Data Sources

A systematic literature search, limited to the English language, in PubMed and PsycINFO for publications between 1966 and September 2005, and a search of the Cochrane Library.

Study Design

Any peer-reviewed article which compared at least two language groups, and contained data about professional medical interpreters and addressed communication (errors and comprehension), utilization, clinical outcomes, or satisfaction were included. Of 3,698 references, 28 were found by multiple reviewers to meet inclusion criteria and, of these, 21 assessed professional interpreters separately from ad hoc interpreters. Data were abstracted from each article by two reviewers. Data were collected on the study design, size, comparison groups, analytic technique, interpreter training, and method of determining the participants' need for an interpreter. Each study was evaluated for the effect of interpreter use on four clinical topics that were most likely to either impact or reflect disparities in health and health care.

Principal Findings

In all four areas examined, use of professional interpreters is associated with improved clinical care more than is use of ad hoc interpreters, and professional interpreters appear to raise the quality of clinical care for LEP patients to approach or equal that for patients without language barriers.

Conclusions

Published studies report positive benefits of professional interpreters on communication (errors and comprehension), utilization, clinical outcomes and satisfaction with care.

Keywords: Language barriers, health disparities, quality of care, physician–patient communication

According to the 2000 Census, 47 million people in the United States speak a language other than English at home (Shin and Bruno 2003). Half of these individuals report that they speak English less than “very well.” These individuals are considered to have limited English proficiency (LEP). That is, they are not able to speak, read, write, or understand the English language at a level that permits them to interact effectively with health care providers (OCR 2002). This language barrier puts the health of many LEP individuals, and that of their communities at risk by affecting their ability to access care and communicate with their providers.

It is well established that language barriers contribute to health disparities for LEP patients (Jacobs et al. 2003). These patients have less access to a usual source of care, and lower rates of physician visits and preventive services (Fox and Stein 1991; Kirkman-Liff and Mondragon 1991; Woloshin et al. 1997; Fiscella et al. 2002). Even when they do have access to care, LEP patients often have poorer adherence to treatment and follow-up for chronic illnesses, decreased comprehension of their diagnoses and treatment after emergency department (ED) visits, decreased satisfaction with care, and increased medication complications. (Manson 1988; Crane 1997; Carasquillo et al. 1999; Gandhi et al. 2000) In contrast, language concordance between patients and physicians increases patient satisfaction, patient-reported health status, and adherence with medication and follow-up visits (Manson 1988; Perez-Stable, Napoles-Springer, and Miramontes 1997; Freeman et al. 2002).

Given that over 100 languages are commonly spoken in the United States, (Shin and Bruno 2003) it is often not possible to provide language concordant health care. In one study of the use of medical interpreters in urban primary care practices, physicians reported encountering 20 different languages (Karliner, Perez-Stable, and Gildengorin 2004). Although some LEP patients are fortunate enough to be seen in settings where physician and office staff speak their primary language, this language concordance can readily disappear once these patients present for laboratory testing, emergency care, or are admitted to the hospital. Therefore, the majority of providers must use other means to communicate with their LEP patients and, if they receive federal financial assistance, are required to do so by Title VI of the Civil Rights Act of 1964 (OCR 2002). Most often this means is a third person, an interpreter, who can range from a highly trained professional medical interpreter to any available bilingual person (NCIHC 2001).

In their review and analysis of health plans and language assistance programs, (Brach, Fraser, and Paez 2005) recommend the use of professional interpreters to augment the use of bilingual clinicians and staff in order to improve the quality of care delivered and to decrease health disparities. A recent general review of the literature concludes that the quality of medical care is improved by either use of professional interpreters or via direct provision of care by bilingual health care providers (Flores 2005). These reviews are broad and inclusive; however, many of the studies from which they draw their conclusions combined the effects of different types of interpreters (ad hoc, trained, untrained) as well as that of language concordant clinicians without systematically distinguishing among them. Thus, we are still left with the question of the specific effect of professional interpreters on clinical care, and how their effect compares with that of ad hoc interpreters.

Building on these previous reviews, we conducted a focused systematic review of the medical literature to better understand whether use of professional medical interpreters is associated with improved clinical care for LEP patients in the areas of communication errors and patient comprehension, utilization, clinical outcomes, and satisfaction.

METHODS

Data Sources

We conducted a systematic literature search, limited to the English language, in PubMed and PsycINFO for publications between 1966 and September 2005. We also searched the Cochrane Library. These searches produced 3,575 citations (see Appendix for exact search strategies). We also conducted a search for bibliographies on the World Wide Web using the search term Medical Interpreters. On the web we found multiple bibliographies, and from these we identified an additional 123 references. In total, we generated 3,698 references from all data sources.

Inclusion/Exclusion Criteria

We included all articles which met the following inclusion criteria: (1) peer-reviewed English-language publication; (2) contained data about use of professional medical interpreters and a relevant clinical topic; and (3) compared results for the group using interpreters to another group (e.g., by type of interpreter, English speakers, language concordant LEP, LEP without interpreter use). We chose to focus on four clinical topics that were most likely to either impact or reflect disparities in health and health care for LEP patients: communication (errors and comprehension), utilization of clinical care, clinical outcomes, and satisfaction with clinical care.

We excluded, without further review, articles in which review of the title and/or abstract confirmed that the focus was not on medical interpreters. Thus, articles about interpretation of radiology techniques or electrocardiograms, translation or validation of clinical assessment of research scales, or cross-cultural health care but not cross-language health care, were excluded. We also excluded review articles that did not have primary data, as well as articles that solely addressed use of American Sign Language interpreters. For the 300 articles for which it was unclear from the title and abstract whether the article contained data regarding professional medical interpreters and one of the previously determined clinical topics, we reviewed the full text of the article and were able to exclude an additional 272 articles.

Abstraction of Included Articles

In order to minimize bias and errors, we abstracted each of the remaining 28 articles that included data about the association of interpreter use with one of the previously determined clinical topics, and compared results for the group using interpreters to another group. All four authors participated in data abstraction. Each article was abstracted by at least two authors. Twelve items were abstracted for each article, including primary and secondary focus, study setting, geographic location, number and type of participants, study design, type of interpreter used, languages included, description of interpreter training, definition of group needing interpreters, comparison groups, statistical analysis, and main study findings about interpreter use. The abstractions were then reviewed and tallied by one of the authors. Discrepancies in any of the items were resolved by consensus between the two original reviewers. Any remaining discrepancies were discussed by all four authors and resolved by consensus.

In establishing whether or not a particular article had data on interpreter use, we first used a broad definition of interpreter to include any third-party present in a clinical interaction whose role was to facilitate oral language interpretation between a clinician and patient (NCIHC 2001). A professional interpreter was defined as any individual paid and provided by the hospital or health system to interpret; this individual was sometimes referred to in the articles as a “professional interpreter,” and sometimes referred to as a “hospital interpreter.” Because medical interpreting is not yet a universally licensed or credentialed field, training can vary widely (NCIHC 2001). Likewise, description of training varies widely in the published literature. For the purposes of this review we stipulate professional interpreters were trained if the manuscript described this. Training ranged from on-the-job training to formal 40-hour training in medical terminology and skills specific to interpreting in the medical setting. We further specified that an ad hoc interpreter was “an untrained person who is called upon to interpret, such as a family member interpreting for her parents, a bilingual staff member pulled away from other duties to interpret, or a self-declared bilingual in a hospital waiting-room who volunteers to interpret” (NCIHC 2001).

Because the quality of the methodology in this literature varies, (Flores 2005; Jacobs et al. 2006) we abstracted information that would allow the reader to evaluate the quality of each study: number of participants, control for confounding variables (for quantitative studies only), method for determining group being studied (e.g., need for an interpreter or LEP status), and description of whether the professional interpreters were trained or not. In addition, for qualitative studies, we abstracted information on the methods used (e.g., direct observation, focus groups, semi-structured interviews). The highest quality quantitative studies have large numbers of participants to allow for statistical power to find differences, control for potential confounding, define the group being studied using a formal measure of either language proficiency or need for a medical interpreter, and use trained professional interpreters. With the exception of controlling for confounding, all of these items are important indicators of quality for qualitative studies as well, although qualitative studies do not require as large sample sizes as quantitative studies do because they do not have the same issue of statistical power to find differences. In addition, analysis of qualitative studies should be rigorous and include a systematic approach to identifying common themes or issues that arise in the data. All four qualitative articles included in this review met these criteria.

Organization of Results

Because our research question focused on the impact of professional interpreter use, we divided articles according to the manner in which they reported their results. The three groups are those that: (1) compared results by type of interpreter (professional versus ad hoc), (2) only included professional interpreters (professional only), and (3) did not distinguish between professional and ad hoc interpreters (professional and ad hoc combined). The first two groups, which both assess professional interpreters independently of ad hoc interpreters, make up the central focus of this review. We include information on the third group (seven studies) to allow the reader to compare how the effect of professional interpreters compares with that of a mix of professional and ad hoc interpreters that are routinely found in practice.

We also organize our results by clinical focus. Articles categorized as communication (errors and comprehension) contain data about errors in communication between a patient and a clinician when an interpreter was present or when an interpreter was needed, but not present. We also included in this category articles with data on patient comprehension of care such as diagnoses, medications or follow-up, because comprehension is directly affected by errors in communication or interpretation. We categorized as utilization those articles containing data about the effect of interpreter use on utilization of clinical services, such as emergency visits, hospital admissions, numbers of diagnostic tests, or preventive care. We categorized as clinical outcomes those articles containing data about the effect of interpreter use on health outcomes, such as hemoglobin A1C levels in diabetic patients, rates of communication sensitive diagnoses (e.g., mental illness), and rates of procedures such as cesarean sections. We categorized as satisfaction those articles that contained data either on patient and/or clinician satisfaction with the type, quality, or availability of interpreters, or on the effect of interpreter use on patient satisfaction.

To allow the reader to further evaluate and compare studies, we have created a comparison group column in the results tables. This column identifies the groups being compared by outcome in each study. When possible, we maintain uniformity in the language used to identify groups. For example, the most common groups listed are LEP interpreted (indicating that this group of LEP patients had access to interpreters during their clinical encounters; the type of interpreter is specified in the adjacent column), and LEP noninterpreted (indicating that this group of LEP patients did not have access to interpreters during their clinical encounters). A third commonly listed comparison group is language concordant. Most often, this categorization indicates a group of English-speaking patients who were cared for by English-speaking clinicians. However, this categorization may also indicate a group of patients in a non-English-speaking country who spoke the majority language (e.g., Arabic in Saudi Arabia) being cared for by a clinician who also spoke that language; or, it may indicate a group of patients who spoke a nonmajority language (e.g., Spanish in the United States) who were cared for by a clinician who spoke that language. Many studies combined these groups in their results, in which case we also have combined them, and categorized them as language concordant.

When possible we present numerical results and statistical tests for each study. In keeping with the diversity of studies, we report multiple different statistical results ranging from descriptive percentages to p-values for comparisons of proportions or means to odds ratios. For qualitative studies that may have used mixed methods and report statistics in their publications, we likewise report these statistics. For other qualitative studies, we report the analytic approach, such as grounded theory or ethnography.

RESULTS

Of the 28 articles included in the study, 10 (36 percent) compared results for professional and ad hoc interpreters, 11 (39 percent) studied only professional interpreters, and seven (25 percent) studied the combined effect of professional and ad hoc interpreters. Of all articles, seven focused on communication and errors, 10 on utilization, four on clinical outcomes, and eight on satisfaction. One article that focused on utilization and clinical outcomes (Tocher and Larson 1998) was counted in both categories.

Locations and Settings

The majority of studies were conducted in outpatient (n = 16) and ED (n = 8) settings (86 percent). Half of the studies conducted in the ED, however, appear to derive their data from the same parent study (Baker, Hayes, and Fortier 1998; Baker et al. 1996; Sarver and Baker 2000; Derose et al. 2001). Of the four inpatient studies, two focused on obstetric wards (Parsons and Day 1992; Small et al. 1999), one each on a psychiatric hospital (Drennan and Swartz 2002), and an oncology ward (Chan and Woodruff 1999). Most of the studies were conducted in the United States (71 percent). Of the eight from outside the United States, three were from non-English-speaking countries (Switzerland n = 2 [Bischoff et al. 2003a,b], and Saudi Arabia n = 1 [Dodd 1984]). The others were from the United Kingdom (n = 2) (Parsons and Day 1992; Farooq, Fear, and Oyebode 1997), Australia (n = 2) (Chan and Woodruff 1999; Small et al. 1999), and South Africa, where English is one of 11 official languages (n = 1) (Drennan and Swartz 2002).

Determination of Population Studied

The studies used a wide range of approaches to determining which of their population needed an interpreter and which did not. Methods ranged from selecting a sample from administrative data of actual interpreter use, to researchers, clerks, or clinicians reporting the patient's primary language as other than the majority language, to asking participants a standardized question. These questions varied, and usually included one or more of the following types of question: ability to speak majority language, primary language, perceived need for an interpreter.

Professional versus Ad Hoc and Professional Only

Quality of Methodology

There are 21 studies which assessed professional interpreters separately from ad hoc interpreters—10 in the professional versus ad hoc group and 11 in the professional only group. Three of these 21 studies were qualitative and 18 were quantitative, including the one randomized controlled trial in this review (Hornberger et al. 1996) (Table 1). The number of participants/encounters included in the qualitative studies ranged from 13 to 122. Two of the qualitative studies used direct audio-taped observation of clinical encounters and reviewed those tapes for errors. The third qualitative study collected data via patient focus groups and utilized grounded-theory to identify important themes.

Table 1
The Impact of Professional Interpreters on Clinical Care (N = 21)

The number of participants/encounters included in the quantitative studies ranged from 13 to 4,146. Eleven of the 18 quantitative articles (61 percent) controlled for potential confounding variables in their analyses. Eleven of the 21 articles in this category (52 percent) state clearly that the professional interpreters were trained. Among these 11 studies, one states that telephonic interpreters were trained but it is unclear if the same is true of the in-person professional interpreters used in the study (Hornberger et al. 1996), and two others state that the in-person professional interpreters were trained, but it is unclear if the same is true of the telephonic interpreters (Hornberger, Itakura, and Wilson 1997; Fagan et al. 2003). Only five articles used a standardized measure to define subjects' need for an interpreter (Enguidanos and Rosen 1997; Chan and Woodruff 1999; Kuo and Fagan 1999; Bernstein et al. 2002; Ngo-Metzger et al. 2003).

Impact on Clinical Care

Overall, these studies found a positive impact of professional interpreters on clinical care for patients with language barriers. The utilization studies, in particular, demonstrated that use of trained professional interpreters is associated with decreased disparities between patients with a language barrier as compared with patients receiving care from language concordant clinicians.

Five of these studies examined comprehension and errors and used varying comparison groups and examined very different outcomes. Two of the three studies which compared clinically significant errors in interpretation found that errors were much less likely when professional interpreters were used, (Prince and Nelson 1995; Flores et al. 2003) and the third found a statistically nonsignificant trend toward fewer errors with remote simultaneous medical interpretation than in-person professional interpreters (Hornberger et al. 1996). One study, however, still found a worrisomely high error rate (53 percent) for professional interpreters (Flores et al. 2003). Farooq et al. found that psychiatric interviews done using a professional interpreter resulted in the same mental status exam score and family history as did interviews done with the same patients by a language concordant psychiatrist (Farooq, Fear, and Oyebode 1997). The last error and comprehension study was a very small descriptive study by Chan et al., which indicated that inpatient cancer patients were more likely to comprehend their diagnosis if it was presented through a professional interpreter than if they were not given via any interpretation at all (Chan and Woodruff 1999).

Of the nine studies examining utilization, three found that use of trained professional interpreters was associated with equal adherence to follow-up from the ED, equal frequency of tests and ED visits and admissions for patients with diabetes, and equal visit lengths as English-speaking patients (Enguidanos and Rosen 1997; Tocher and Larson 1998,1999). An additional three utilization articles found that use of trained professional interpreters was associated with a decrease in utilization disparities; this was true for outpatient preventive services, intensity of ED services, ED return and referral rates, and admission rates from the ED (Jacobs et al. 2001; Bernstein et al. 2002; Hampers and McNulty 2002).

Two studies examined visit length for different types of interpreters and, although both found longer visit times when interpreters were present, they had conflicting results when comparing types of interpreters. Kravitz et al. (2000) found that the longer visit times were attributable to encounters in which resident physicians used in-person professional interpreters while Fagan et al. (2003) found that longer visit times were attributable to encounters in which ad hoc interpreters or telephonic professional interpreters were used, not those in which in-person professional interpreters were used. The last study, which assessed utilization by interpreter type, found that asylum seekers were more likely to be referred for psychological care when a professional interpreter was present (Bischoff et al. 2003a).

Likewise the two clinical outcomes studies found a positive association of professional interpreter use, ranging from lower rates of obstetrical interventions than when no professional interpretation was offered, to equal hemoglobin A1C, lipid, and creatinine values for diabetic LEP and English-speaking patients (Parsons and Day 1992; Tocher and Larson 1998).

The remaining six studies all found a positive association of professional interpreter use with satisfaction. Five found an association of higher satisfaction among clinicians and/or patients with professional interpreters than with ad hoc interpreters (Hornberger, Itakura, and Wilson 1997; Kuo and Fagan 1999; Lee et al. 2002; Ngo-Metzger et al. 2003; Karliner, Perez-Stable, and Gildengorin 2004), and one found increased patient satisfaction with communication after a clinician training in use of professional interpreters (Bischoff et al. 2003).

Professional and Ad Hoc Combined

An additional seven articles assessed the association of interpreter use with clinical care, but did not distinguish between professional and ad hoc interpreters. All of these studies show some positive association of interpreter use with improved clinical care, but several of them have mixed results (Table 2).

Table 2
The Impact of Professional and Ad Hoc Interpreters Combined (N = 7)

In one comprehension and errors study,Baker et al. (1996) found that although use of interpreters in the ED was associated with an improvement in patients' perceived knowledge of diagnosis and treatment, it did not alter actual knowledge, which was low for all groups. Another study, which used mixed qualitative methods, including direct observation of clinical encounters and semi-structured interviews, found that misattribution of psychiatric symptoms and diagnoses was less common for LEP patients when an interpreter was used than when none was available (Drennan and Swartz 2002). The single utilization study found that use of interpreters in an ED was not associated with equal rates of referral for follow-up for LEP patients and for patients seeing a language concordant physician; all patients, however, had similar rates of adherence for follow-up appointments (Sarver and Baker 2000). Both clinical outcome studies demonstrated an association of interpreter use with improved clinical outcomes. Dodd et al. (1984) showed equal rates of diagnoses of mental illness for physicians using interpreters as for language concordant physicians. Small et al. (1999) showed an association with an elimination in a disparity in Cesarean section rates for LEP patients as compared with language concordant patients when interpreters were used. Lastly, Baker et al. showed an associated increase in overall satisfaction among LEP patients with interpersonal aspects of care in the ED when interpreters were used, and Derose et al. showed that access to interpreters was associated with higher satisfaction for LEP women than for women with language concordant providers (Baker, Hayes, and Fortier 1998; Derose et al. 2001).

DISCUSSION

Taken as a whole, the findings of this review suggest that professional interpreters are associated with an overall improvement of care for LEP patients. They appear to decrease communication errors, increase patient comprehension, equalize health care utilization, improve clinical outcomes, and increase satisfaction with communication and clinical services for limited English proficient patients.

We examined the studies in three different groups, those that compared the effect of professional and ad hoc interpreters, those that only examined the effect of professional interpreters (compared with either a noninterpreted LEP group, another type of professional interpreter, or most commonly, a language concordant group), and those that did not separate out the effect of professional and ad hoc interpreters. We found that professional interpreters improve clinical care more than ad hoc interpreters do, and that they can raise the quality of clinical care for LEP patients to match or approach that for patients without a language barrier. Even when the effect of professional interpreters is not separated out from that of ad hoc interpreters, there is evidence for a benefit. However, the results in this group of studies are not as strong or consistent.

Weaknesses in study design and analyses make it difficult to assess the full effects of medical interpretation on provision of health care. Only a third of studies used a standardized measure to identify participants' need for an interpreter. Even among the studies using a standardized measure, several asked about patients' primary language, but did not establish proficiency in the majority language, usually English. Thus, it is likely that the study populations included patients with varying language proficiency in the majority language, ranging from no proficiency to excellent proficiency. This variation in proficiency is likely to weaken the positive effect of interpreter use by including patients who may not have had a significant language barrier in both the interpreted and un-interpreted groups, thus decreasing any measurable difference between the groups. This is particularly true for small studies which have less statistical power to find differences in the first place. Therefore interpreters may be even more effective in improving communication and closing the gap in health disparities than the current literature suggests.

A quarter of the articles did not adequately separate the effects of different types of interpreters used, and half did not make it clear whether or not the professional interpreters in the study had undergone any training. Medical interpreting is a field in evolution, with the ongoing development of standards of practice and codes of ethics (NCIHC 2001). Currently, training ranges from several hours to more than a year; this variation may result in a wide range of competency levels among professional medical interpreters. Of course, ad hoc interpreters—such as friends, family members, secretarial or custodial staff—have no training at all and their fluency in both English and their native language is not known. Not surprisingly then, the results of the studies in which the impact of ad hoc and professional interpreters is combined are often mixed. When only professional interpreters are used, the findings are more consistent; all studies which clearly identified the effect of professional interpreters show better results with use of interpreters.

Lastly, there are analytic limitations to the literature reviewed. All but one of the included publications presented observational data (Hornberger et al. 1996), and many of the quantitative articles reviewed did not control for potential confounding in their analyses. It is possible that something other than interpreter use could have accounted for some of the differences between groups. Most of the utilization articles, however, had large numbers of patients, lending these studies enough statistical power to find differences between groups. In addition, they did control for potential confounding, and overall showed a beneficial effect of professional interpreters on LEP patients' utilization of clinical care. With the exception of preventive services, we were unable to evaluate whether each individual's use of services was medically appropriate. However, the studies did demonstrate that when interpreters were used, LEP patients' utilization rates generally approached or equaled those of English-speaking patients.

It is likely that the improved utilization and clinical outcomes are mediated by the ability of professional interpreters to overcome health communication barriers. Professional interpreters, through their experience, training, and knowledge of both medical and lay terminology are better able to communicate patients' symptoms and questions to clinicians, and clinicians' rationale for treatment and explanations of proper use of therapy to patients. Lower interpretation error rates and improved patient comprehension likely lead to greater patient acceptance of tests, adherence to follow-up and treatments, and thus improved health outcomes. However, there is a relative paucity of studies focused on either patient comprehension or clinical outcomes with adequate comparison groups, numbers, and analytic techniques.

Our review was limited by several factors. The majority of studies in our review were conducted in the United States in limited clinical contexts and our conclusions may not be easily generalized to other countries, cultures or clinical contexts. In addition, our search was conducted in English only, and ended in September 2005. While we conducted an extensive search, it is possible that we missed some articles. Of note, an update of the search strategies in January 2006 identified one additional article that met our inclusion criteria (Cohen et al. 2005). This study viewed a request for an interpreter as a marker of a language barrier, and overall found no association between the risk for serious medical events and a family's request for interpreters. However, a subgroup of Spanish-speaking families requesting interpreters had a two-fold increased risk for serious medical events compared with patients not requesting interpreters. It is possible that we have missed other important studies on this topic published in non-English language peer-reviewed journals. We are reassured that our methodology did capture three studies in non-English speaking countries, and a quarter of the reviewed studies were conducted outside of the United States.

A lack of formal cost analyses of professional interpreters in the published literature precluded us from drawing any conclusions about the cost and cost-benefits of these services. The only such study that we are aware of did find a reasonable cost to benefit ratio of implementing trained, professional interpreter services in a large health maintenance organization (Jacobs et al. 2004). There is also little research describing the costs to not providing these services. This leaves many small health care practices and organizations wondering if the benefits described in our review are worth the cost. Clearly there is a need for more research on the costs of language barriers and the cost-benefits of providing professional interpreter services.

Conclusion and Implications

Health care providers need to recognize that language barriers place LEP patients at a disadvantage that can be overcome by providing better linguistic access. Without access to professional interpreters, this large and growing population will continue to suffer differentials in both health and access to quality health care. Future research will contribute most to this area by focusing on how interpreters can decrease errors in comprehension and improve clinical outcomes, as well as studying the cost-effectiveness of these interventions.

We found that use of professional interpreters is associated with improved quality of health care for patients with limited English proficiency, and that professional interpreter use is likewise associated with a positive impact that is greater than that of ad hoc interpreters. Despite some important weaknesses in the literature, the findings suggest that provision of professional interpreter services can reduce disparities in care for LEP populations.

Acknowledgments

We would like to acknowledge the following sources of funding: Health Resources Services Administration (HRSA) Fellowship Training Grant in General Internal Medicine grant #1 D14 HP 00178-01 (Dr. Karliner), Robert Wood Johnson Generalist Physician Faculty Scholars program (Dr. Jacobs), the Medicine as a Profession initiative of the Open Society Institute (Dr. Chen), and The California Endowment (Dr. Mutha).

We appreciate assistance from Gloria Won and Carol Allen in conducting the literature search. We thank Dr. Steven Bent for his review of an earlier version of the manuscript, and Indria Cooper for her administrative support.

Disclosures: The authors are unaware of any conflict of interest with regard to this manuscript.

Disclaimers: The authors are unaware of any disclaimers with regard to this manuscript.

Supplementary material

APPENDIX

Search strategies

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