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      Not just a Barbie in hijab: participant perspectives on culturally tailoring a virtual health assistant for Bangladeshi immigrants in the US promoting colorectal cancer screening

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          Abstract

          Background

          Colorectal cancer (CRC) screening uptake among South Asian immigrants in the US is the lowest (61.1%) of all immigrant groups (e.g., 65.9% among East Asians and 71.3% among Hispanics). Culture-specific factors influence their reluctance to screen for CRC, despite the availability of easily accessible, non-invasive screening tools, like the fecal immunochemical test (FIT). The current study utilizes a virtual health assistant (VHA) tailored to inform and educate Bangladeshi immigrants about FIT.

          Methods

          We conducted usability tests to understand Bangladeshi immigrants’ informational needs, barriers, facilitators, and visual and linguistic preferences. After 20 minutes of interaction with the VHA, we conducted semi-structured interviews with 30 participants. Participants also filled out a questionnaire of demographic information and VHA gender and ethnic appearance preferences. A qualitative content analysis using the constant comparative method generated themes.

          Results

          A total of 30 participants (16 women, 14 men) with a mean age of 39.2 years participated. Informational needs included eight themes: (I) risk-reducing behaviors/habits, (II) post-intervention (information desired after interacting with the VHA), (III) CRC-related content (e.g., symptoms, causes, impact on the body, etc.), (IV) financial considerations of FIT, (V) personalized content/options, (VI) pre-test information (how to prepare for the FIT kit use, e.g., “do I need to fast?”), (VII) comparison to other CRC screening options, and (VIII) more specificity of information (i.e., using more measurable language, avoiding vague language like “some”, “more”, etc.). Major barriers were (I) lack of control, (II) lack of sophistication in VHA animation features, (III) lack of interactiveness, and (IV) lack of a trustworthy source. Facilitators were (I) convenience (of using VHA), (II) social cues (of interacting with a VHA), and (III) content (provided by the VHA). In terms of VHA’s appearance, which was a combination of its apparent gender and ethnicity, participants demonstrated varied preferences but the majority (n=17) preferred gender concordant VHA. As for linguistic preference, participants generally mentioned either English or an option to choose a language for themselves while claiming that other Bangladeshi immigrants would prefer the Bangla language.

          Conclusions

          Participants were open to using a VHA to learn about CRC, either instead of or along with talking to a clinician about it. However, recommendations to improve animated features of the VHA included more detailed and Bangladeshi population-specific information and provided choices to select preferred languages and appearance of the VHA. Future studies should empirically test the required levels of tailoring to effectively increase CRC screening among Bangladeshi immigrants.

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          Most cited references45

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          Three approaches to qualitative content analysis.

          Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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            Immigration as a social determinant of health.

            Although immigration and immigrant populations have become increasingly important foci in public health research and practice, a social determinants of health approach has seldom been applied in this area. Global patterns of morbidity and mortality follow inequities rooted in societal, political, and economic conditions produced and reproduced by social structures, policies, and institutions. The lack of dialogue between these two profoundly related phenomena-social determinants of health and immigration-has resulted in missed opportunities for public health research, practice, and policy work. In this article, we discuss primary frameworks used in recent public health literature on the health of immigrant populations, note gaps in this literature, and argue for a broader examination of immigration as both socially determined and a social determinant of health. We discuss priorities for future research and policy to understand more fully and respond appropriately to the health of the populations affected by this global phenomenon.
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              Conversational agents in healthcare: a systematic review

              Abstract Objective Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes. Methods We searched PubMed, Embase, CINAHL, PsycInfo, and ACM Digital using a predefined search strategy. Studies were included if they focused on consumers or healthcare professionals; involved a conversational agent using any unconstrained natural language input; and reported evaluation measures resulting from user interaction with the system. Studies were screened by independent reviewers and Cohen’s kappa measured inter-coder agreement. Results The database search retrieved 1513 citations; 17 articles (14 different conversational agents) met the inclusion criteria. Dialogue management strategies were mostly finite-state and frame-based (6 and 7 conversational agents, respectively); agent-based strategies were present in one type of system. Two studies were randomized controlled trials (RCTs), 1 was cross-sectional, and the remaining were quasi-experimental. Half of the conversational agents supported consumers with health tasks such as self-care. The only RCT evaluating the efficacy of a conversational agent found a significant effect in reducing depression symptoms (effect size d = 0.44, p = .04). Patient safety was rarely evaluated in the included studies. Conclusions The use of conversational agents with unconstrained natural language input capabilities for health-related purposes is an emerging field of research, where the few published studies were mainly quasi-experimental, and rarely evaluated efficacy or safety. Future studies would benefit from more robust experimental designs and standardized reporting. Protocol Registration The protocol for this systematic review is registered at PROSPERO with the number CRD42017065917.
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                Author and article information

                Journal
                Mhealth
                Mhealth
                MH
                mHealth
                AME Publishing Company
                2306-9740
                23 October 2024
                2024
                : 10
                : 30
                Affiliations
                [1 ]deptDivision of Public Health Sciences, Department of Surgery , Washington University School of Medicine in Saint Louis , Saint Louis, MO, USA;
                [2 ]deptHealth Outcomes and Biomedical Informatics, College of Medicine , University of Florida , Gainesville, FL, USA;
                [3 ]deptDepartment of Psychiatry and Behavioral Health, College of Medicine , The Ohio State University , Columbus, OH, USA;
                [4 ]deptInternal Medicine and Geriatrics, Cleveland Clinic , Center for Value-Based Care Research , Cleveland, OH, USA;
                [5 ]deptComputer and Information Science and Engineering , University of Florida , Gainesville, FL, USA;
                [6 ]deptDepartment of Quantitative Health Sciences , Mayo Clinic , Jacksonville, FL, USA
                Author notes

                Contributions: (I) Conception and design: A Raisa, JL Krieger, CL Fisher; (II) Administrative support: None; (III) Provision of study materials or patients: A Raisa, JL Krieger, B Lok; (IV) Collection and assembly of data: A Raisa; (V) Data analysis and interpretation: A Raisa, CL Fisher, KP Silmi; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                Correspondence to: Aantaki Raisa, PhD. Institute of Public Health, Washington University in Saint Louis, 600 S Taylor Avenue, Saint Louis, MO 63108, USA. Email: raisa@ 123456wustl.edu .
                Author information
                https://orcid.org/0000-0003-4626-2447
                https://orcid.org/0000-0003-3903-4278
                https://orcid.org/0000-0001-5386-8004
                https://orcid.org/0000-0002-7066-4748
                https://orcid.org/0000-0002-9335-1496
                https://orcid.org/0000-0002-1190-3729
                https://orcid.org/0000-0001-9950-9170
                Article
                mh-10-24-31
                10.21037/mhealth-24-31
                11557162
                609d4f15-9bae-40d6-b1f6-024da898ce28
                2024 AME Publishing Company. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 03 June 2024
                : 13 September 2024
                Funding
                Funded by: University of Florida College of Journalism and Communication’s Graham Professional Development grant
                Categories
                Original Article

                virtual health assistants (vha),colorectal cancer screening (crc screening),bangladeshi immigrants,immigrant health,cultural tailoring

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