The Use of a Mobile Application to Increase Access to Interpreters for Cancer Patients With Limited English Proficiency: A Pilot Study

Patient and nursing staff perspectives on automated scalp cooling (ASC) for chemotherapy-induced alopecia in breast cancer

PURPOSE

Automated scalp cooling (ASC) is available to patients undergoing chemotherapy for breast cancer to decrease chemotherapy-induced alopecia. This study sought to elucidate patient and chemotherapy nursing perspectives on the ASC experience.

METHODS

This is a survey-based study of chemotherapy nursing staff and patients with breast cancer regarding perceived efficacy, side effects, administration, support, and overall opinions of ASC. Chemotherapy nurses across a large, multi-regional tertiary healthcare system completed a one-time survey regarding their experiences in administering ASC. Breast cancer patients who utilized ASC were surveyed along with a control group who underwent alopecia-inducing chemotherapy without ASC use for comparison.

RESULTS

The majority of nursing responses reported inadequate technical support, an increased burden of administering ASC compared to other clinical duties, and that they would not recommend ASC to a family member or friend. Patients who underwent ASC reported significantly less hair loss and were significantly less likely to shave their heads or wear a wig, but this did not translate into significant differences in body image or psychosocial wellbeing responses. Time investment was the most significant burden related to ASC.

CONCLUSION

Patients using ASC reported significantly less hair loss compared to those not using ASC during alopecia-inducing breast cancer chemotherapy, but this did not translate to improved body image. The majority of chemotherapy nurses reported they lacked adequate support in administering ASC and would not recommend it. Enhanced nursing support may provide a means for improving the ASC experience for both nursing staff and patients.

Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives

OBJECTIVES

Inpatients with language barriers and complex medical needs suffer disparities in quality of care, safety, and health outcomes. Although in-person interpreters are particularly beneficial for these patients, they are underused. We plan to use machine learning predictive analytics to reliably identify patients with language barriers and complex medical needs to prioritize them for in-person interpreters.

MATERIALS AND METHODS

This qualitative study used stakeholder engagement through semi-structured interviews to understand the perceived risks and benefits of artificial intelligence (AI) in this domain. Stakeholders included clinicians, interpreters, and personnel involved in caring for these patients or for organizing interpreters. Data were coded and analyzed using NVIVO software.

RESULTS

We completed 49 interviews. Key perceived risks included concerns about transparency, accuracy, redundancy, privacy, perceived stigmatization among patients, alert fatigue, and supply-demand issues. Key perceived benefits included increased awareness of in-person interpreters, improved standard of care and prioritization for interpreter utilization; a streamlined process for accessing interpreters, empowered clinicians, and potential to overcome clinician bias.

DISCUSSION

This is the first study that elicits stakeholder perspectives on the use of AI with the goal of improved clinical care for patients with language barriers. Perceived benefits and risks related to the use of AI in this domain, overlapped with known hazards and values of AI but some benefits were unique for addressing challenges with providing interpreter services to patients with language barriers.

CONCLUSION

Artificial intelligence to identify and prioritize patients for interpreter services has the potential to improve standard of care and address healthcare disparities among patients with language barriers.

Point-of-care communication for patients with limited language proficiency: A scoping review of healthcare interpretation applications

OBJECTIVE

Linguistic diversity has the potential to create barriers for limited language proficiency (LLP) patients when navigating the healthcare system. When a verified interpretation method is utilized, there are improvements in LLP patient outcomes. The purpose of this scoping review is to identify articles that outline applications used for point-of-care tasks between LLP patients and providers.

METHODS

The Arksey and O'Malley methodologic framework was utilized for study selection, data charting and analysis. Each application was evaluated on patient and provider satisfaction, overall feasibility, and time associated with interpretation.

RESULTS

Eight peer-reviewed journals are included (four pilot studies, one prospective study, two participatory studies, and one mixed methods design). Applications ranged in number of unique phrases (32-1800 phrases) and number of languages supported (1-39 languages). Overall, the applications were feasible to use and assisted with basic communication between providers and patients.

CONCLUSIONS

As patients and families become more comfortable with using technology, interpretation applications provide an innovative approach to streamline the interpretation process for point-of-care healthcare encounters.

PRACTICE IMPLICATIONS

Interpretation applications may increase an LLP patient's access to interpretation tools which can improve outcomes. Further studies should focus on implementing robust evaluation methods to assess these tools and evaluate the LLP patient's perspectives of interpretation applications.

Evaluating Clinician Expectations of mHealth Solutions to Increase Rapid-Screening for HIV and Hepatitis in Migrant Populations in France: Qualitative Study

BACKGROUND

Migrants underuse screening opportunities for HIV, hepatitis B, and hepatitis C despite elevated risk factors for contracting these infections. Language barriers are an often given as reasons for limiting access to services. Translation and communication apps increase communication and overall patient satisfaction in the patient-provider relationship. In the development and adoption of new technology, expectations play an important role.

OBJECTIVE

This study aimed to explore health care professionals' opinions and attitudes regarding their screening practices with migrants and their expectations for a new communication tool that could improve migrants' screening use.

METHODS

In this qualitative study, a purposive (diverse) sampling method was used to invite doctors and nurses who conduct rapid screening tests with migrants from 4 centers of the French Office of Immigration and Integration in 3 geographic regions of France. Semistructured interviews were conducted to survey their opinions on the rapid testing of migrants, the use of telephone interpreters, the concept of health literacy, and their expectations of a new communication tool that could overcome language barriers and promote rapid screening in the new migrant population.

RESULTS

In all, 20 interviews were conducted with 11 doctors and 9 nurses with a median age of 58 (range 25-67) years. Participants favored the integration of an innovative communication tool in the context of rapid screening of migrants. However, there were concerns related to the implementation and added value of the tool while migrants were already reluctant to be screened. Expectations were for a tool that would present information in simplified French or a chosen language but also supports a positive attitude toward screening. Health professionals also expressed the wish that the technology could help with the collection of health data.

CONCLUSIONS

Feedback from health professionals provides a better understanding of potential formats, characteristics, functions, content, and use of an innovative, digital method to communicate with migrants with limited French proficiency. Findings contribute to the conceptual development of an electronic app and its implementation within the ApiDé study, which aims to validate a digital app to address language barriers to increase the use of screening among migrants with limited French proficiency in France.

Evaluation of a Language Translation App in an Undergraduate Medical Communication Course: Proof-of-Concept and Usability Study

Background

Language barriers in medical encounters pose risks for interactions with patients, their care, and their outcomes. Because human translators, the gold standard for mitigating language barriers, can be cost- and time-intensive, mechanical alternatives such as language translation apps (LTA) have gained in popularity. However, adequate training for physicians in using LTAs remains elusive.

Objective

A proof-of-concept pilot study was designed to evaluate the use of a speech-to-speech LTA in a specific simulated physician-patient situation, particularly its perceived usability, helpfulness, and meaningfulness, and to assess the teaching unit overall.

Methods

Students engaged in a 90-min simulation with a standardized patient (SP) and the LTA iTranslate Converse. Thereafter, they rated the LTA with six items—helpful, intuitive, informative, accurate, recommendable, and applicable—on a 7-point Likert scale ranging from 1 (don’t agree at all) to 7 (completely agree) and could provide free-text responses for four items: general impression of the LTA, the LTA’s benefits, the LTA’s risks, and suggestions for improvement. Students also assessed the teaching unit on a 6-point scale from 1 (excellent) to 6 (insufficient). Data were evaluated quantitatively with mean (SD) values and qualitatively in thematic content analysis.

Results

Of 111 students in the course, 76 (68.5%) participated (59.2% women, age 20.7 years, SD 3.3 years). Values for the LTA’s being helpful (mean 3.45, SD 1.79), recommendable (mean 3.33, SD 1.65) and applicable (mean 3.57, SD 1.85) were centered around the average of 3.5. The items intuitive (mean 4.57, SD 1.74) and informative (mean 4.53, SD 1.95) were above average. The only below-average item concerned its accuracy (mean 2.38, SD 1.36). Students rated the teaching unit as being excellent (mean 1.2, SD 0.54) but wanted practical training with an SP plus a simulated human translator first. Free-text responses revealed several concerns about translation errors that could jeopardize diagnostic decisions. Students feared that patient-physician communication mediated by the LTA could decrease empathy and raised concerns regarding data protection and technical reliability. Nevertheless, they appreciated the LTA’s cost-effectiveness and usefulness as the best option when the gold standard is unavailable. They also reported wanting more medical-specific vocabulary and images to convey all information necessary for medical communication.

Conclusions

This study revealed the feasibility of using a speech-to-speech LTA in an undergraduate medical course. Although human translators remain the gold standard, LTAs could be valuable alternatives. Students appreciated the simulated teaching and recognized the LTA’s potential benefits and risks for use in real-world clinical settings. To optimize patients’ and health care professionals’ experiences with LTAs, future investigations should examine specific design options for training interventions and consider the legal aspects of human-machine interaction in health care settings.

Utility of mobile technology in medical interpretation: A literature review of current practices

OBJECTIVES

Language barriers limit healthcare access. However, professional interpretation usage is infrequent due to high cost and poor interpreter availability. Healthcare-oriented mobile applications are becoming more accepted and may help alleviate this burden. This literature review aims to better understand the utility of mobile technology in healthcare interpretation. Specifically, the objective of this review is to synthesize the feasibility, outcome, and challenges of implementing technological medical interpretation services.

PATIENT INVOLVEMENT

No patients were involved for this review.

METHODS

In December 2019, MEDLINE (Ovid) was systematically searched according to PRISMA guidelines. All articles discussing the utility of technology in healthcare interpretation encounters were included.

RESULTS

Two major themes emerged: 1) comparing video and phone interpretation with in-person interpretation and 2) assessing direct translation software in healthcare settings. Phone and video interpretation help reduce overall patient wait-times. Both patients and clinicians preferred in-person or video interpretation over interpretation by phone. Chief benefits of using direct translation software include immediate access, low costs, and sustainability. Several studies discussed potential translation inaccuracies and the importance of having professional interpreters in medico-legal discussions.

CONCLUSION

Mobile applications may be used to facilitate access to medical interpreters with high clinician and patient satisfaction. Direct in-app translations facilitate access but risk inaccuracies with important medico-legal considerations.

PRACTICAL VALUE

Mobile applications are available at low costs and can improve access to interpreters though video and phone calls. Mobile software can also provide direct translation and facilitate clinical care. Clinicians should prioritize face-to-face encounters with professional medical interpreters, whenever possible. In a time of social distancing amidst the current COVID-19 pandemic, there is crucial value in elucidating the best telehealth interpretation practices.

When Public Health Research Meets Social Media: Knowledge Mapping From 2000 to 2018

BACKGROUND

Social media has substantially changed how people confront health issues. However, a comprehensive understanding of how social media has altered the foci and methods in public health research remains lacking.

OBJECTIVE

This study aims to examine research themes, the role of social media, and research methods in social media-based public health research published from 2000 to 2018.

METHODS

A dataset of 3419 valid studies was developed by searching a list of relevant keywords in the Web of Science and PubMed databases. In addition, this study employs an unsupervised text-mining technique and topic modeling to extract research themes of the published studies. Moreover, the role of social media and research methods adopted in those studies were analyzed.

RESULTS

This study identifies 25 research themes, covering different diseases, various population groups, physical and mental health, and other significant issues. Social media assumes two major roles in public health research: produce substantial research interest for public health research and furnish a research context for public health research. Social media provides substantial research interest for public health research when used for health intervention, human-computer interaction, as a platform of social influence, and for disease surveillance, risk assessment, or prevention. Social media acts as a research context for public health research when it is mere reference, used as a platform to recruit participants, and as a platform for data collection. While both qualitative and quantitative methods are frequently used in this emerging area, cutting edge computational methods play a marginal role.

CONCLUSIONS

Social media enables scholars to study new phenomena and propose new research questions in public health research. Meanwhile, the methodological potential of social media in public health research needs to be further explored.