Abstract
In March 2020, federal and state telehealth policy changes catalyzed telemedicine adoption and use in community health centers. There is a dearth of evidence on telemedicine implementation and use in these safety net settings and a lack of information reflecting the perspectives of patients with limited English proficiency. We conducted in-depth interviews with clinic personnel and patients during the pandemic in two federally qualified health centers that primarily serve Chinese and Latino immigrants. Twenty-four interviews (clinic personnel = 15; patients who primarily speak a language other than English = 9) were completed remotely between December 2020 and April 2021. Interview scripts included questions about their telemedicine experiences, technology, resources and needs, barriers, facilitators, language access, and continued use, with a brief socio-demographic survey. Data analyses involved a primarily deductive approach and thematic analysis of transcript content. Both FQHCs adopted telemedicine in a few weeks and transitioned primarily to video and audio-only visits within two months. Findings reveal third-party language interpretation services were challenging to integrate into telemedicine video visits. Bilingual personnel who provided language concordant care were seen as essential for efficient and high-quality patient telemedicine experiences. Audio-only visits were of particular benefit to reach patients of older age, with limited English proficiency, and with limited digital literacy. Continued use of telemedicine is contingent on reimbursement policy decisions and interventions to increase patient digital literacy and technological resources. Results highlight the importance of reimbursing audio-only visits post-pandemic and investing in efforts to improve the quality of language services in telemedicine encounters.
Keywords: COVID-19, Telehealth, Telemedicine, Federally qualified health center, Language, Policy
1. Background & significance
The coronavirus disease 2019 (COVID-19) pandemic catalyzed rapid adoption and implementation of telemedicine beginning March 2020 (Eberly et al., 2020; Koonin et al., 2020). The pandemic drastically shifted health care from in-person to remote to mitigate risk of infection. Federal and state telehealth policy changes were adopted as temporary measures, including financial incentives (i.e., changes to reimbursement like payment parity between in-person and telemedicine visits), licensing modifications, and relaxed privacy standards, to increase utilization (Keesara, Jonas, & Schulman, 2020; Shachar, Engel, & Elwyn, 2020).
Steep telehealth increases during COVID-19 presents a unique opportunity to investigate factors that influence telemedicine use in safety net settings. Pre-pandemic, there was limited adoption and use of telemedicine live video communication (and other modalities) among low-income and marginalized populations and safety net healthcare organizations (Anthony, Campos-Castillo, & Lim, 2018; Park, Erikson, Han, & Iyer, 2018; Rodriguez, Saadi, Schwamm, Bates, & Samal, 2021). Community health centers like Federally Qualified Health Centers (FQHCs), who predominantly serve patients who are uninsured or are Medicaid recipients, have historically lagged in adoption and use due to reimbursement and licensing issues. In 2016, only 37.6% of community health centers reported using telehealth (Shin, Sharac, & Jacobs, 2014).
Telemedicine can improve healthcare access and health outcomes in medically underserved communities by addressing structural barriers like transportation, excess wait times, childcare responsibilities, inconvenient appointment times, and regional medical provider shortages (Bashshur et al., 2016; Donelan et al., 2019; Gordon, Solanki, Bokhour, & Gopal, 2020; Reed et al., 2020). Telemedicine can be a low-cost option and expand communication opportunities with a provider (Kruse et al., 2017). Digital divide barriers persist, however, and influence adoption and use. These barriers range from individual (i.e., low digital literacy) to structural levels (i.e., geographic location, broadband internet access, device affordability) (Hilbert, 2011; Ramsetty & Adams, 2020). Existing barriers to healthcare access (availability and quality of language services) (Schiaffino, Nara, & Mao, 2016) may also impact use for patients with limited English proficiency (LEP) (Anaya, Hernandez, Hernandez, & Hayes-Bautista, 2021).
During the pandemic, many academic medical centers and private medical organizations leveraged prior telemedicine experience and existing infrastructure to scale up operations. FQHCs encountered rapid and abrupt telemedicine adoption and implementation processes, possibly due to existing organizational barriers in personnel, professional development, and technological capacities (Lewin & Baxter, 2007; Lori, Bouskill, Jessica, Mimi, & Shira, 2020; Payán et al., 2017) and reimbursement concerns (Lin et al., 2018; Shin et al., 2014). While emerging telemedicine research from the pandemic reflects physician perspectives (Gomez, Anaya, Shih, & Tarn, 2021), evidence is lacking from FQHCs and the perspective of other clinic personnel and patients.
Flexibilities adopted during the pandemic are actively being considered for permanent adoption across the country. While policies that reduced security measures for telemedicine are likely to reverse, the federal government and several states are debating whether to remove reimbursement for audio-only services. Funders and practitioners are also seeking interventions to address the digital divide and expand telehealth access and improve its quality for medically underserved patients.
This study investigates how FQHC personnel and patients used and experienced telemedicine during the pandemic with a focus on language service provision. We examine the organizational, patient, and technology facilitators and barriers to telemedicine implementation and use in FQHCs, which are particularly understudied among safety net settings (Payán & Rodriguez, 2021; Rodriguez, Bates, Samal, Saadi, & Schwamm, 2021). Findings address a pressing need for empirical data on telemedicine experiences in safety net settings to advance equitable policy and practice.
2. Methods
This study investigates experiences on telemedicine implementation and use from the perspective of personnel and patients in two FQHCs during the pandemic. We identify barriers and facilitators to use and provide policy and clinical recommendations to sustain use in safety net settings.
Telemedicine is defined as two-way, real-time interactive communication between a physician (or other healthcare provider) and patient using both audio and video capabilities. We broadened the definition to include telephone/audio-only communications because the Centers for Medicare & Medicaid Services (CMS) added flexibilities for audio-only visits in March 2020 (Centers for Medicare & Medicaid Services, 2020).
2.1. Sample and recruitment
We recruited two FQHCs with assistance from a community health center consortium in Northern California. One FQHC serves a large Latino immigrant community and the other serves a large Chinese immigrant community. Both began offering telemedicine visits March/April 2020. Pre-pandemic, neither offered telemedicine visits or used a telemedicine platform.
A liaison from each FQHC assisted with purposive sampling and distributed study information via email and phone. Due to social distancing and shelter-in-place orders, recruitment protocols and data collection relied on computer and phone-mediated approaches (Howlett, 2021).
Eligible personnel were involved in telemedicine adoption decisions or implementation. Eligible patients: 1) were adults (24–85 years old), 2) spoke a non-English language as their primary language, 3) had a diagnosis of at least one cardiometabolic condition, and 4) had at least one telemedicine encounter (video, audio-only) in 2020. Eligible and interested individuals signed up for an interview using a virtual scheduling system or by contacting study staff.
2.2. Procedures
Data collection tools included two interview guides for personnel and patients, respectively. The interview guides are included as a supplementary appendix. The guide covered COVID-19 telehealth experiences (barriers, challenges, successes, perceived benefits, satisfaction), technological and support resources, language access, perceived sustainability, and recommendations. Development of the interview guides was informed by Consolidated Framework for Implementation Research (CFIR) domains and components (Damschroder et al., 2009) as well as past empirical research focused on telemedicine implementation (Barney, Buckelew, Mesheriakova, & Raymond-Flesch, 2020; Lyles et al., 2016, 2019; Portz et al., 2019; Scott Kruse et al., 2018). Interview tools were reviewed by members of the research team, a digital health expert, and FQHC stakeholders.
We also asked personnel about their organizational tenure and responsibilities, and patients about their country of birth, years in the U.S., household size, household income, insurance status, and diagnosed conditions. A bilingual Spanish native speaker and professional Chinese translator translated the patient data collection instrument. Bilingual researchers and assistants fluent in Spanish and Mandarin reviewed and finalized the tools. Translated tools were pilot tested with two individuals in each language prior to their use in the field.
Interviews were completed over a five-month period beginning December 2020. A co-investigator with experience collecting interview data completed personnel interviews using Zoom (Zoom, 2020). Two research members fluent in Mandarin and Spanish, respectively, completed patient interviews over the phone.
Interviewers began by introducing themselves, explaining the purpose of the study, confirming eligibility, and obtaining verbal consent. Interviews were audio recorded upon receipt of oral consent. All interviews were audio-recorded with permission (range: 45–85 min). Data collectors took field notes and wrote a memo with information on key themes after each interview. Recruitment ceased when data saturation was obtained for these themes. Participants received an e-gift card for their time ($25 for clinic personnel; $20 for patients). UC Merced's Institutional Review Board approved study protocols and materials prior to their use.
2.3. Data management and analysis
Clinic personnel and Spanish-speaking patient recordings were transcribed verbatim in their original language using automatic audio transcription software. Transcripts were reviewed and edited by research assistants who carefully listened to each audio file. The data collector who completed interviews in Mandarin listened to the recordings to add further details in the memos with select quotes in lieu of a transcript.
Clinic personnel interview transcripts were uploaded and analyzed using Dedoose (Dedoose Version 8.0.35, 2018), a mixed methods data analysis software, using thematic analysis. We used a deductive approach to develop a universal codebook with themes identified a priori from implementation science and organizational capacity frameworks (Damschroder et al., 2009; Payán et al., 2017) and relevant telehealth literature (Barney et al., 2020; Chwistek, 2020; Lau et al., 2020; Lyles et al., 2016; Portz et al., 2019; Scott Kruse et al., 2018). The codebook was pilot tested with three transcripts to assess the coding structure and identify emergent themes.
The final codebook included 22 themes and 107 codes. A research assistant independently coded all personnel transcripts to streamline data analysis (Nevedal et al., 2021). A co-author [J.L.F.] reviewed all coded content and provided feedback before developing analytical summaries. The team discussed preliminary findings. Exemplary quotes were identified using all interview data and non-English quotes were translated for inclusion in this article. Quantitative data was input into Microsoft Excel and analyzed using descriptive statistics.
3. Results
Twenty-four respondents participated across two FQHCs including 15 clinic personnel and nine patients. Table 1 includes clinic personnel characteristics and Table 2 includes socio-demographic characteristics of patient respondents.
Table 1.
Characteristic | N (%) |
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Clinic role/position | |
Leader or manager | 4 (26%) |
Health care provider (e.g., physician) | 3 (20%) |
Care coordinator or community health worker | 6 (40%) |
Operations/support staff | 2 (13%) |
Organizational tenure in years, mean (SD) | 5.3 (5.1) |
Age in years, mean (SD) | 39 (9.4) |
Female | 12 (80%) |
Race/ethnicitya | |
Asian American or Pacific Islander | 4 (33%) |
Hispanic/Latino | 5 (42%) |
Non-Hispanic white | 2 (17%) |
Other raceb | 1 (8%) |
Fluent in Spanisha | 8 (67%) |
Notes: Rows may not add up to 100% for certain characteristics if respondent(s) did not answer a question.
Race/ethnicity and Spanish fluency were collected only for those whose organizational responsibilities include patient interaction (n = 12).
Other does not include the response options American Indian/Alaska Native and Black/African American, which were not selected by respondents.
Table 2.
Characteristic | N (%) |
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Age in years, mean (SD) | 59 (11.6) |
Female | 8 (89%) |
Race/ethnicity | |
Asian American or Pacific Islander | 4 (44%) |
Hispanic/Latino | 5 (56%) |
Country of birth | |
China | 3 (33%) |
El Salvador | 1 (11%) |
Mexico | 4 (44%) |
Tonga | 1 (11%) |
Years in the United States, mean (SD) | 25 (12) |
Household size, mean (SD) | 3 (1.7) |
Annual household income | |
Below $20,000 | 5 (56%) |
$20,001-$34,999 | 1 (11%) |
$35,000-$49,999 | 1 (11%) |
Don't know | 2 (22%) |
Slightly over a quarter of clinic personnel primarily identified as leaders or managers (n = 4, 26%), 20% as healthcare providers, 40% as care coordinators or community health workers (CHWs), and 13% as operations/support staff (i.e., administrative support, information technology). Respondents had an average organizational tenure of 5.3 years (SD: 5.1 years) at their FQHC. Mean age was 39 years and 80% were female (n = 12). Over a third (42%) identified as Hispanic/Latino and 33% as Asian American or Pacific Islander. A majority (67%) reported high Spanish fluency.
Patients’ mean age was 59 years (SD: 11.6 years) and 89% were female. Average time in the U.S. was 25 years. Over half reported an annual household income below $20,000 per year and had Medicaid as their primary health insurance. All patients were diagnosed with hypertension and/or type 2 diabetes (per the eligibility criteria), and nearly half also had high cholesterol (n = 4).
Five patients completed the interview in Spanish and three in Mandarin. The last was a Tongan native speaker who opted to complete the interview in English, but primarily spoke Tongan and relied on interpretation services in healthcare settings.
3.1. Telemedicine platform adoption
Personnel from both clinics described swift processes to adopt and use telemedicine platforms and modalities at the beginning of the pandemic. Several agreed the pandemic accelerated adoption of video and audio-only visits, which had not been offered at either FQHC. While both began offering audio-only telemedicine appointments soon after the shelter-in-place order, each approached adoption of video visits differently. Clinic A elected to experiment with various telemedicine platforms, eventually settling on Zoom as their primary platform and retaining doxy.me, a Health Insurance Portability and Accountability Act (HIPAA) compliant service, as a backup by June 2020. Clinic B had already set up Zoom on some devices prior to the shelter-in-place for videoconferencing and spent the first month of the lockdown setting up their workflows, determining HIPAA compliance for the platform, and training physicians and medical assistants on its use. By mid-April, Clinic B offered video visits to patients.
3.2. Clinic-level barriers and facilitators
Qualitative data from clinic personnel on clinic barriers and facilitators to telemedicine implementation mapped onto three organizational capacity themes: personnel, professional development, and technological capacities (Table 3 ).
Table 3.
Theme | Key Finding | Supporting Quote(s) |
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Personnel capacity | B Negative impact of COVID-19 on operations |
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F Implementation champion at various levels (leader, peer) |
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F Clinic staff to prepare ahead of a visit |
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F IT personnel for equipment and technical support |
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F Bilingual personnel who provide high quality, language concordant care |
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F Commitment to patient-centered care and serving marginalized populations |
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Professional development capacity | B Lack of knowledge or uncertainty about appropriate use |
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B Reimbursement policy confusion |
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F Use of external resources and peer learning |
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F Experience communicating by telephone |
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Technological capacity | B Lack of private workspaces for personnel |
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B Limited equipment for patients in home settings |
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B Difficulty integrating a third-party language interpretation service |
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F Investing in equipment and software for use in office or remote settings |
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F Option to use audio-only visits |
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AHA = American Heart Association; B = barrier; CHW = community health worker; CPT = current procedural terminology; EHR = electronic health record; EMR = electronic medical record; F = facilitator; HIPAA=Health Insurance Portability and Accountability Act; IT = information technology; MA = medical assistant; RN = registered nurse; VPN = virtual private network.
A key implementation barrier was the negative impact of COVID-19 on operations, which included the financial impact of losing patient volume/revenue and personnel shortages. Personnel identified as central to facilitating implementation and use, included: 1) champions at various levels (leadership, peers) to provide leadership, motivation, and expertise; 2) clinic staff (e.g., CHWs, medical assistants) responsible for preparing patients and intake processes prior to each visit; 3) information technology (IT) personnel to issue equipment and provide technical support; and 4) bilingual personnel who provided high quality language concordant care. Respondents said having personnel committed to providing patient-centered care and serving marginalized patients also facilitated their rapid transition to remote care.
Professional development capacity refers to personnel knowledge and familiarity with telemedicine as well as the availability of trainings or learning resources. Personnel with limited telemedicine knowledge and prior experience struggled, saying a lack of knowledge and uncertainty about appropriate use was challenging in the face of rapid implementation and workflow changes. Some said it was difficult to assess the validity of different sources when they encountered conflicting information. Reimbursement policy confusion was particularly difficult to navigate.
In addition to implementation champions (personnel capacity) who provided individual expertise and assistance, respondents listed a variety of external resources, including peer organizations, community health center consortia, the California Primary Care Association, and online resources by OCHIN that provided accessible information about telemedicine.
A facilitator to implementing audio-only visits consisted of prior experience using the telephone for patient care. Several personnel said audio-only visits were easy to implement because the telephone was a technology already used to communicate or follow-up with patients before the pandemic (without reimbursement).
Multiple technological capacity barriers were identified, including: 1) lack of private workspaces for personnel (particularly medical assistants) who provide or assist with the delivery of care; 2) limited equipment to support telemedicine in home settings; and 3) difficulty integrating a third-party language interpretation service into a telemedicine visit, which was said to be inefficient and added time to a visit.
A facilitator consisted of having adequate equipment and software to support telemedicine in office or remote settings. Both FQHCs invested in resources for providers and staff at the start of the pandemic, purchasing work laptops, external monitors, microphones, headsets, and software, to support HIPAA compliant telemedicine use and ergonomically friendly workplaces.
The ability to use audio-only visits and obtain reimbursement was described as an important facilitator. Many used audio-only as a default with fewer technological limitations. Some said their clinic heavily relied on phone visits early in the pandemic and used them as a transitional technology while they increased their video visit capacity. Personnel from both FQHCs said audio-only visits persisted at a higher rate than video throughout the pandemic.
3.3. Patient-level barriers and facilitators
Data on patient barriers and facilitators reveal the importance of individual-level factors, the home environment, technology, and interpersonal support and technical or language assistance (Table 4 ).
Table 4.
Theme | Key Finding | Supporting Quote(s) |
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Individual-level | B Older age |
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B Limited English proficiency |
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B Limited digital literacy |
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Housing and the home environment | B Lack of housing |
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B Lack of privacy in home settings |
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Technology | B Lack of equipment or services |
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F Availability of audio-only visits |
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F Convenience |
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Interpersonal support and technical or language assistance | F Family members who provide technical assistance |
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F Clinic staff who teach patients to use platforms |
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F Language concordant providers or trusted sources for interpretation |
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B = barrier; CHW = community health worker; F = facilitator.
Individual-level patient barriers were older age, LEP, and limited digital literacy. Patients with these characteristics were said to avoid or dislike video visits, had limited access to devices, or had greater trouble using video technology and required assistance.
Housing and the home environment also impacted use. Personnel said patients who lacked housing were the most marginalized and it was difficult to reach them using any modality. Among those with housing, lack of privacy in larger households and not having adequate space for confidential and private conversations was problematic.
Technological barriers included having insufficient equipment or services, like a lack of devices or consistent broadband internet access, to support high quality video visits. An important facilitator to overcome these barriers consisted of audio-only visits, which many said were highly accessible and helpful—particularly for those at greatest risk of delaying care during the pandemic.
Telemedicine convenience was an important facilitator to promote continued use and contribute to high satisfaction. Reduced wait times, reduced travel costs, and fewer transportation-related issues were mentioned as helpful, particularly for patients with chronic illness or limited mobility.
The availability of individuals for interpersonal support and technical or language assistance helped patients overcome barriers identified. Patients with family members to assist with the use of technology had an easier time using video visits. Based on patient interview data alone, clinic staff who taught patients to use platforms prior to a visit increased familiarity with the process. For patients with language service needs, having language concordant providers or a trusted source (i.e., family member, clinic personnel) interpret was preferable to a third-party service because of the comfort and trust afforded by these existing relationships in addition to fewer technical and communication/interpretation barriers.
3.4. Continued use and reimbursement policy
A majority of personnel expressed interest in continuing to offer video and audio-only visit modalities beyond the pandemic. Most expected a hybrid model to emerge whereby clinics would offer a full range of modalities (in-person, video, audio-only), contingent on appropriate use, health needs, and patient preferences. Respondents said they expected in-person visits to dominate and telemedicine to comprise 25%–50% of visits if offered.
Personnel indicated that continued telemedicine use largely hinged on federal and state reimbursement policy decisions. In the words of a care coordinator, “as long as the insurance covers the cost of telemedicine, [clinic] will continue offering that.” Operations staff spoke of the importance of reimbursement policy and its impact on clinical operations: “Clinics like ours have been hesitant to really open the floodgates and think about what we can do with telehealth because we are so nervous about reimbursement.” Several leaders and providers said their clinic would experience a steep drop-off in overall telemedicine volume if audio-only visits were reimbursed at a low rate.
Some leaders and providers also advised shifting away from a fee-for-service (volume-based) reimbursement model to a value-based care model with global budgets for FQHCs to sustain the use of telemedicine and afford flexibility for the delivery of care.
4. Discussion
This in-depth qualitative study with FQHC personnel and patients in two community health centers establishes an important foundation to understanding telehealth use in marginalized communities. We found the structural vulnerability of patients with LEP excluded them from accessing the full scope of telemedicine services, including video visits, during the pandemic. Our findings help to explain why patients with LEP had lower telemedicine video use during the pandemic (Rodriguez, Betancourt, Sequist, & Ganguli, 2021) and illustrate specific challenges patients encountered like limited digital literacy and difficulty using platforms. At the clinic level, integrating a third-party language interpretation service into a telemedicine visit was challenging and seen as inefficient.
The role of external policy and incentives in the outer setting (Ross, Stevenson, Lau, & Murray, 2016) is critical to telemedicine use. Prior to the pandemic, Medicaid reimbursement was an important determinant of video visits in health centers (Lin et al., 2018) and reimbursement/cost concerns were barriers to adoption and use (Lori et al., 2020; Scott Kruse et al., 2018). When telemedicine reimbursement was expanded to cover audio-only and additional flexibilities were rapidly adopted, we found reimbursement confusion—particularly uncertainty around reimbursement for audio-only visits—impeded implementation and threatens to impact continued use. Concerns about insufficient or uncertain reimbursement were identified as top barriers to telehealth use among providers in New York City primary care practices during the pandemic (Chang et al., 2021). It is important for policymakers to be aware of the impact of having temporary policies in place on the sustainability and long-term use of telemedicine.
Our findings add to growing literature detailing organizational structures and processes that enable or hinder telemedicine implementation across healthcare settings and patient populations. We identify important organizational barriers—lack of prior telemedicine knowledge and experience, reimbursement uncertainty, and various technological barriers—that may have contributed to suboptimal implementation, use, and outcomes. Reliance on a variety of external training resources, use of audio-only visits, and investments in upgrading or purchasing new equipment were important factors to facilitate use, in addition to ongoing support by key personnel and champions. Some of our results (e.g., knowledge needed to use the technology) are included in the framework for nonadoption, abandonment, scale-up, spread, and sustainability of health and care technologies (Greenhalgh et al., 2017) and aligned with findings from an updated review of factors that influence e-health implementation (Ross et al., 2016).
4.1. Clinical and policy implications
We assessed barriers and facilitators to using telemedicine from multiple vantage points, which can be of considerable value as a basis for improvement. Patient facilitators and barriers varied from individual-level factors to structural issues, like a lack of broadband internet access. The latter can be addressed with broader investments in telehealth services and infrastructure outside of the clinic (Scott Kruse et al., 2018), potentially targeting groups such as older patients (Fischer, Ray, Mehrotra, Bloom, & Uscher-Pines, 2020; Phimphasone-Brady et al., 2021; Scott Kruse et al., 2018) and those without housing (Lori et al., 2020) who have greater difficulty accessing or using telemedicine and may lack basic infrastructure and equipment (Wray, Tang, Shah, Nguyen, & Keyhani, 2021). Funding for FQHCs to distribute physical resources (e.g., tablets, smartphones, remote monitoring devices) to patients can help to promote the use of these devices to support and expand video visit rates. Some of these devices can also be leveraged to deliver digital health coaching, which has shown promise for the long-term management and prevention of type 2 diabetes among patients (Gershkowitz, Hillert, & Crotty, 2021).
The results highlight the importance of continued reimbursement for audio-only visits to benefit marginalized populations who rely on the modality due to its accessibility and lower operational complexity compared to a video visit. A survey of 273 centers (June 2021) found 92% of health care administrators reported audio-only telemedicine improved patient access and 85% said it allowed them to reach marginalized populations during the pandemic (National Association of Community Health Centers, 2021). Quantitative studies found greater use of audio-only visits compared to video among Spanish-speaking patients (Rodriguez, Betancourt, et al., 2021) and in primary care practices in socially disadvantaged areas (Chang et al., 2021) and FQHCs (Uscher-Pines et al., 2021). FQHC providers have also attested to the utility of offering audio-only (“low tech”) options for certain services to patients who have difficulty using video visits (Baras Shreibati, 2021). Cumulatively, this evidence and our results provide a strong basis for the continued use and reimbursement of audio-only visits beyond the public health emergency to promote equitable access.
Study results point to the valuable role of key safety net personnel who enabled implementation and expanded telemedicine use, i.e., clinic personnel involved in telemedicine uptake and implementation, those involved in providing technical and social support to patients, and bilingual personnel who provided language concordant care or interpretation. Future efforts are needed to train clinic personnel to improve patient digital literacy and facilitate onboarding for telemedicine visits in workflows. FQHCs and other safety net settings can leverage trusted personnel (e.g., CHWs, care coordinators) to avert issues related to patient mistrust of technology or the medical community (Ramsetty & Adams, 2020). Others have similarly recommended increasing access to technical support staff and investing in building digital literacy skills for meaningful engagement and use (Anaya et al., 2021; Chang et al., 2021; Lau et al., 2020; Rodriguez, Bates, et al., 2021), particularly for older patients and individuals with LEP.
Our results on the value of language concordant providers and trusted individuals to assist with interpretation are aligned with emerging research on transcultural health care communication, which illustrates how language concordant providers with transcultural knowledge can build trust with immigrant patients to advance patient-centered care (Magaña, 2021). Incentives to expand the availability of bilingual providers who can deliver culturally and linguistically appropriate services should be prioritized to enhance the quality of telemedicine in safety net settings. Doing so can help offset low or lack of reimbursement issues for healthcare organizations that serve patients with LEP and dissuade the use of untrained interpreters (i.e., family members) who may pose safety or privacy concerns.
4.2. Strengths and limitations
Study limitations include the use of purposive sampling therefore the results may not be generalizable to other clinical settings, regions, or patient populations. We also focused on recruiting established patients with at least one telemedicine visit during the pandemic and excluded new patients and those who did not use telemedicine. Research is needed to identify patients most vulnerable to exclusion beyond factors identified in this study.
Despite these limitations, strengths include deployment of a rapid, yet rigorous, qualitative data analysis approach and use of a brief quantitative instrument to characterize the sample. Another strength is the inclusion of a varied sample of FQHC clinic personnel representative of a range of organizational roles in addition to sampling patients who primarily speak a language other than English. Our data collection timing also allowed for several months of implementation experience and reflection. Lastly, while in-person recruitment and interviews would have been preferred to capture nonverbal cues like body language, in-person fieldwork was prohibited during the study period due to the pandemic. It is possible that some respondents may have been more comfortable with remote interviews because of the convenience and confidentiality afforded (Howlett, 2021).
5. Conclusion
Rapid telemedicine implementation during the pandemic may have exacerbated access and quality gaps for marginalized patients and safety net settings lacking telemedicine experience. We identify a range of organizational and patient-level barriers and facilitators in FQHCs, establishing an important foundation for future efforts to develop targeted interventions and quality improvement projects that leverage trusted clinic personnel and seek to improve digital literacy skills among patients. Results inform current policy debates by demonstrating the importance of reimbursing audio-only visits to provide access for marginalized patients and the need for additional resources and innovation to improve telemedicine language access services and quality.
Ethical statement
UC Merced's Institutional Review Board approved all study protocols and materials prior to their use (UCM2020-85). We obtained approval for UC Berkeley to rely on UC Merced's IRB review. Participants provided verbal consent to participate and agreed to be audio recorded.
Funding
This study was supported with funding from CITRIS and the Banatao Institute (2020 Seed Fund Award 2020–0000000001) and the Health Trust of Santa Clara County. The content is solely the responsibility of the authors and does not represent the official views of CITRIS and the Banatao Institute or the Health Trust.
Authors’ contributions
DDP designed and conducted the study in collaboration with LG and HPR. JLF and AAT provided input on the instruments and procedures. DDP and JLF conducted the procedures, including recruitment, data collection, and analysis. LG and HPR provided input on the data analysis procedures and reviewed select outcomes. DDP drafted and revised the manuscript with assistance from JLF. JLF, LG, AAT, and HPR were involved in revising and editing the manuscript draft. All authors read and approved the final manuscript.
Declaration of interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
We would like to acknowledge and express our gratitude to the Community Health Partnership (particularly Elena Alcala, Kayla Williams, and Danielle Malone), respondents who participated in the study, Dr. Adrian Aguilera, and study research staff (Pauline D. Martinez, Brooke Starn, Kesia Garibay, María Reyes Rivas, Tina Diep, and Luis Garay) for their contributions.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.ssmqr.2022.100054.
Appendix A. Supplementary data
The following is he supplementary data to this article:
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