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      Adoption of Telemedicine in a Rural US Cancer Center Amid the COVID-19 Pandemic: Qualitative Study

      research-article
      , MPH, MD 1 , 2 , 3 , , , MS, MPH 2 , 4 , , PhD 2 , 4 , , MPH 5 , , MS, MD 3 , , MBA 3 , , ScD 1 , 2 , 5 , 6 , , PhD 6 , , ScD 1 , 2 , 5 , 7
      (Reviewer), (Reviewer)
      JMIR Cancer
      JMIR Publications
      telemedicine, telehealth, remote consultation, clinical oncology, implementation science, qualitative research, telemedicine methods, telemedicine organization and administration, telemedicine trends, clinical oncology methods, clinical oncology organization and administration, oncology, digital health, virtual care, COVID-19

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          Abstract

          Background

          The COVID-19 pandemic necessitated a rapid shift to telemedicine to minimize patient and provider exposure risks. While telemedicine has been used in a variety of primary and specialty care settings for many years, it has been slow to be adopted in oncology care. Health care provider and administrator perspectives on factors affecting telemedicine use in oncology settings are not well understood, and the conditions associated with the COVID-19 pandemic offered the opportunity to study the adoption of telemedicine and the resulting provider and staff perspectives on its use.

          Objective

          The aim of this paper is to study the factors that influenced telemedicine uptake and sustained use in outpatient oncology clinics at a US cancer center to inform future telemedicine practices.

          Methods

          We used purposive sampling to recruit a mix of oncology specialty providers, practice managers, as well as nursing and administrative staff representing 5 outpatient oncology clinics affiliated with the Dartmouth Cancer Center, a large regional cancer center in the northeast of United States, to participate in semistructured interviews conducted over 6 weeks in spring 2021. The interview guide was informed by the 5 domains of the Consolidated Framework for Implementation Research, which include inner and outer setting factors, characteristics of the intervention (ie, telemedicine modality), individual-level factors (eg, provider and patient characteristics), and implementation processes. In total, 11 providers, 3 leaders, and 6 staff participated following verbal consent, and thematic saturation was reached across the full sample. We used a mixed deductive and inductive qualitative analysis approach to study the main influences on telemedicine uptake, implementation, and sustainability during the first year of the COVID-19 pandemic across the 5 settings.

          Results

          The predominant influencers of telemedicine adoption in this study were individual provider experiences and assumptions about patient preference and accessibility. Providers’ early telemedicine experiences, especially if negative, influenced preferences for telephone over video and affected sustained use. Telemedicine was most favorably viewed for lower-acuity cancer care, visits less dependent on physical exam, and for patient and caregiver education. A lack of clinical champions, leadership guidance, and vision hindered the implementation of standardized practices and were cited as essential for telemedicine sustainability. Respondents expressed anxiety about sustaining telemedicine use if reimbursements for telephonic visits diminished or ceased. Opportunities to enhance future efforts include a need to provide additional guidance supporting telemedicine use cases and evidence of effectiveness in oncology care and to address provider concerns with communication quality.

          Conclusions

          In a setting of decentralized care processes, early challenges in telemedicine implementation had an outsized impact on the nature and amount of sustained use. Proactively designed telemedicine care processes with attention to patient needs will be essential to support a sustained role for telemedicine in cancer care.

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          Most cited references40

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          Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

          Background Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts. Methods We used a snowball sampling approach to identify published theories that were evaluated to identify constructs based on strength of conceptual or empirical support for influence on implementation, consistency in definitions, alignment with our own findings, and potential for measurement. We combined constructs across published theories that had different labels but were redundant or overlapping in definition, and we parsed apart constructs that conflated underlying concepts. Results The CFIR is composed of five major domains: intervention characteristics, outer setting, inner setting, characteristics of the individuals involved, and the process of implementation. Eight constructs were identified related to the intervention (e.g., evidence strength and quality), four constructs were identified related to outer setting (e.g., patient needs and resources), 12 constructs were identified related to inner setting (e.g., culture, leadership engagement), five constructs were identified related to individual characteristics, and eight constructs were identified related to process (e.g., plan, evaluate, and reflect). We present explicit definitions for each construct. Conclusion The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories. It can be used to guide formative evaluations and build the implementation knowledge base across multiple studies and settings.
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            How Many Interviews Are Enough?: An Experiment with Data Saturation and Variability

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              Virtually Perfect? Telemedicine for Covid-19

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                Author and article information

                Contributors
                Journal
                JMIR Cancer
                JMIR Cancer
                JC
                JMIR Cancer
                JMIR Publications (Toronto, Canada )
                2369-1999
                Jul-Sep 2022
                16 August 2022
                16 August 2022
                : 8
                : 3
                : e33768
                Affiliations
                [1 ] Department of Community and Family Medicine Geisel School of Medicine at Dartmouth Lebanon, NH United States
                [2 ] The Dartmouth Institute for Health Policy & Clinical Practice Geisel School of Medicine at Dartmouth Lebanon, NH United States
                [3 ] Connected Care Dartmouth Health Lebanon, NH United States
                [4 ] Center for Program Design and Evaluation Geisel School of Medicine at Dartmouth Lebanon, NH United States
                [5 ] Dartmouth Cancer Center Dartmouth Health Lebanon, NH United States
                [6 ] Department of Biomedical Data Science Geisel School of Medicine at Dartmouth Lebanon, NH United States
                [7 ] Department of Medicine Geisel School of Medicine at Dartmouth Lebanon, NH United States
                Author notes
                Corresponding Author: Matthew Mackwood matthew.b.mackwood@ 123456hitchcock.org
                Author information
                https://orcid.org/0000-0002-4508-8267
                https://orcid.org/0000-0002-6316-4745
                https://orcid.org/0000-0003-0962-5288
                https://orcid.org/0000-0002-2600-446X
                https://orcid.org/0000-0003-0264-0485
                https://orcid.org/0000-0002-6502-2409
                https://orcid.org/0000-0001-9302-4762
                https://orcid.org/0000-0002-2222-377X
                https://orcid.org/0000-0001-7718-8943
                Article
                v8i3e33768
                10.2196/33768
                9384858
                35895904
                09c70330-f2df-419d-a57b-900a3cf05a77
                ©Matthew Mackwood, Rebecca Butcher, Danielle Vaclavik, Jennifer A Alford-Teaster, Kevin M Curtis, Mary Lowry, Tor D Tosteson, Wenyan Zhao, Anna N A Tosteson. Originally published in JMIR Cancer (https://cancer.jmir.org), 16.08.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.

                History
                : 29 September 2021
                : 14 May 2022
                : 28 June 2022
                : 21 July 2022
                Categories
                Original Paper
                Original Paper

                telemedicine,telehealth,remote consultation,clinical oncology,implementation science,qualitative research,telemedicine methods,telemedicine organization and administration,telemedicine trends,clinical oncology methods,clinical oncology organization and administration,oncology,digital health,virtual care,covid-19

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