Abstract
Background
The use of telemedicine has quickly increased during of the COVID-19 pandemic. Given that unmet needs and barriers to multiple sclerosis (MS) care have been reported, telemedicine has become an interesting option to the care of these patients. The objective of these consensus recommendations was to elaborate a guideline for the management of people with MS using telemedicine in order to contribute to an effective and high-quality healthcare.
Methods
A panel of Argentinean neurologist’s experts in neuroimmunological diseases and dedicated to the diagnosis, management,and care of MS patients gathered virtually during 2021 and 2022 to conduct a consensus recommendation on the use of telemedicine in clinical practice in adult people with MS. To reach consensus, the methodology of “formal consensus RAND/UCLA Appropriateness method” was used.
Results
Recommendations were established based on relevant published evidence and expert opinion focusing on definitions, general characteristics and ethical standards, diagnosis of MS, follow-up (evaluation of disability and relapses of MS), identification and treatment of relapses, and finally disease-modifying treatments using telemedicine.
Conclusion
The recommendations of this consensus would provide a useful guide for the proper use of telemedicine for the assessment, follow-up, management, and treatment of people with MS. We suggest the use of these guidelines to all the Argentine neurologists committed to the care of people with MS.
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Introduction
Telemedicine has an important potential to address some of the challenges faced by different countries worldwide, especially in developing countries, in providing accessible, cost-effective, and high-quality healthcare services [1], thus avoiding unneeded visits to clinicians. Telemedicine can improve patient outcomes by increasing access to care and medical information, enhancing quality through patient monitoring and engagement, and increasing patient experience by providing greater convenience and access [2]. The use of telemedicine has quickly expanded because of the COVID-19 pandemic which kept patients away from medical consulting rooms, especially from specialized centers [3]. In this context, telemedicine has been relevant to patient and clinician safety, and both doctors and large institutions have pivoted their in-person care model to virtual care [3, 4]. Thus, telemedicine provides an emerging model for the assessment and management of several neurological disorders, including multiple sclerosis (MS)[5]. However, prior to the COVID-19 pandemic, telemedicine was already meeting the needs of some patients, including those who were geographically isolated (i.e., both rural and urban areas), with disabling or severe neurological diseases that prevented them to move around or those without access to transportation, among others, but this modality of care has not been widely used when compared to in-person appointments at that time [6]. Before the onset of the COVID-19 pandemic, a retrospective study reported that the neurologists’ appointments of outpatients using telemedicine were similar to that of in-person visits [6]. In this line, a prospective study on 36 MS patients reported that 97% of participants would recommend telemedicine visits and 94% of them found it easy to connect via telemedicine [7]. Additionally, MS patients were grateful for the convenience of using telemedicine visits because of their similarity to in-clinic visits [7]. Furthermore, the Telemedicine Work Group of the American Academy of Neurology (AAN; 2019) reported that telemedicine reduced missed workdays by 65%, decreased travel by a median of 258 km, and reduced costs of accommodation by 17% in MS patients [8]. Another study has also reported saving $144 (USD) in travel costs and lost wages when comparing cognitive test sessions conducted via telemedicine vs. in-person [9]. A longitudinal study on 41 MS veterans found that 87.5% of them had good experiences with home telehealth monitors [10]. In this line, one study reported that video appointments were shorter and more focused on specific topics [8, 11]. However, AAN consortium has recently published recommendations on implementing distinct types of telemedicine service, highlighting that neurological examination can be feasible remotely, but neurologists should consider some limitations. A prospective study of 36 MS patients found that 97% of participants would recommend telemedicine visits, and 94% of participants rated it easy to connect via telemedicine [7]. Participants in this study provided qualitative comments that expressed appreciation for the convenience of telemedicine visits and similarity to in-clinic visits [7].
The management of MS patients is complex and challenging in clinical practice. Thus, distinct local factors should be considered when recommending how telemedicine should be used. Given that the cost to diagnose, treat, and follow-up MS patients is high, unmet needs and barriers to MS care have been reported [11, 12], and considering that Argentina is a lower-income country where developing health systems are not prepared and designed to properly adopt MS care as part of their budget, telemedicine has become an interesting option to the care of these patients.
The objective of these consensus recommendations was to elaborate consensus guidelines for the management of people with MS using telemedicine in order to contribute to an effective and high-quality healthcare.
Methods
A panel of Argentinean neurologists’ experts in neuroimmunological diseases and dedicated to the diagnosis, management, and care of MS patients gathered virtually during 2021 and 2022 to conduct a consensus recommendation on the use of telemedicine in clinical practice in adult patients with MS. To reach consensus, the methodology of “formal consensus RAND/UCLA Appropriateness method” was used [13].
The method for developing practice guidelines by formal consensus is both a consensus method and a guideline method. As a consensus method, the objective is to formalize the degree of agreement among expert neurologists by identifying and selecting, through iterative ratings with feedback, the statements on which experts agree, and those situations on which they disagree or are undecided. The guideline methods are subsequently based on agreement statements. As a practice guideline method, the objective is to draft several concise, unambiguous recommendations that address the questions of interest, thus, providing clinicians and patients with assistance in deciding on the most appropriate care in given clinical scenarios. RAND/UCLA is a rigorous and explicit method based on the involvement of user representatives and professionals in the field to which the guideline relates, as well as on the use of an external peer review phase, transparency, independence of development, and management of conflicts of interest.
The first step in the process consisted of inclusion of working group experts. The selection of experts was based on their experience in managing patients with MS from different regions of Argentina. The working group was then divided as follows: (i) a steering group and project manager (ii) a rating group who, in their daily practice, are directly involved in patient care and (iii) an external peer review with expertise in the MS field. After the working group was conformed, the procedure consisted of the following phases:
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1. Systematic review and synthesis of the literature phase: A systematic non-language restricted literature search was conducted using several online databases including MEDLINE and EMBASE for the period 1990–2021. All searches contained a variant of the following search terms: “multiple sclerosis AND (telemedicine OR telehealth OR teleneurology)” with the modifiers “diagnosis”, “disability”, “cognitive impairment”, “care”, “treatment”, “personalized”, “response”, “suboptimal”, “biomarkers”, “precision”, and “guidelines”. Members of the steering group met to discuss the evidence and to develop the list of statements to be submitted to the rating group. Relevant clinical papers were distributed to the working group for review and summarization so that they could answer the statements and recommendations of discussion.
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2. Development of statements list: A list of statements developed by the steering group was submitted to the rating group in the form of a questionnaire. At this stage, the statements complemented or contradicted each other in so far as they considered all opinions expressed by the group members during the work sessions.
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3. Rating phase: This phase took place in three stages: in the first one the statements on which members of the rating group agreed were identified. For those statements in which there was no agreement or undecided responses, three rounds of votes were conducted with interim feedback sessions based on the published evidence and discussion in real time by teleconference. After the first round and the meeting with the panel of experts, three statements were added that were not initially considered. The rating phase finished with the selection of the statements on which there was a consensus within the rating group and statements without agreement after the final round were eliminated. Consensus was defined when 70% of the participants agreed and lack of consensus when ≥ 30% disagreed. The methodology for the rating and the analysis of the scores were defined initially and communicated to the rating group during the invitation phase by email and prior to the first round. After panel acceptance by email, a real-time meeting by teleconference with the objective of clarifying the process was also carried out. At every stage of the rating phase, members of the rating group were able to comment about their response on any statement. All the received comments were also analyzed in a qualitative manner to be included if appropriate.
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4. Drafting the initial version of the guideline phase: The steering group along with the project manager drafted the first manuscript version of the consensus recommendation to be submitted to the peer review group based on the consensus statements. This material was also reviewed by an external peer review with expertise in the MS field.
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5. Peer review phase: An analytical report was drafted, drawing together all scores and comments of the peer review group members and, where applicable, of the participants in the public consultation.
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6. Finalization phase: The final version of the evidence reports, the consensus recommendations, and a summary of the guideline were drawn. The validated versions of these documents were disseminated. Thus, the authors provided their final approval for all content.
General recommendations
General recommendations are shown in Table 1. Although there are several definitions of telemedicine published in the literature [1, 5], the panel has reached consensus regarding its definition for these recommendations based on a clear and practical approach. We have also highlighted using video calls to communicate in real time with MS patients, as it can be used for patient consultations requiring a basic neurological examination at a remote medical facility or the home. It is important to highlight that the panel strongly recommended that telemedicine does not replace face-to-face consultation, especially considering the complexity of this disease in terms of diagnosis, neurological examination (sometimes minimal or subtle changes are observed, including cognitive impairment) and follow-up [8, 14, 15]. Likewise, as recommended in others’ consensus, MS patients must be diagnosed and followed up by neurologists with expertise in demyelinating diseases in in-person models as in virtual care [16]. The panel reported that other ways of communication could be also used as additional tools to review a lab test or observe and compare an MRI scan, among others. Importantly, most MS patients are young adults (between 18 and 50 years of age) [17], but many patients have no access to computers or the Internet or are unable to carry out a video call, particularly in developing countries like Argentina [3]. However, the accrual burden of disability in MS patients can make traveling to MS centers increasingly difficult for them, therefore making telemedicine an engaging option [14, 18]. Some studies have specifically compared telemedicine with in-person visits in terms of access to MS care [2, 7, 19, 20]. At the same time, sensor-based monitoring tools have started to fill a critical gap between MS investigation and clinical care. Recently, European MS experts have reported that the Floodlight Proof-of-Concept application, a sensor-based monitoring tool, can effectively capture reliable and clinically relevant measures of functional impairment in MS patients, supporting the potential use in clinical practice and investigation [21]. Thus, the neurologists could potentially use that relevant information in the future as a complement to their visits [22]. The evaluation and the optimal control of the progression should be considered to minimize or eliminate this possibility in all patients. To reach this objective, an attractive option is to use sensitive tools for monitoring disability in all MS patients, even in patients whose disease activity seems to be under control in terms of disease activity such as new lesions on MRI and relapses [21]. In this context, the use of remote technologies to detect the onset of the progression or worsening is critical to timely adapt the therapeutic strategies [22].
On the other hand, there are many issues of concern about the ethical and legal aspects of telemedicine. Responsibilities and potential liabilities of the clinicians, maintaining the privacy and confidentiality of medical records, and the jurisdictional issues related to local or from abroad televisits [23]. Neurologist using telemedicine should consider that, during telemedicine consultation, some risks may exist. These risks may fall into gaps in patient’s and physician’s coverage. In this context, there are no specific regulations in Argentina regarding insurance coverage for accidents that might occur during telemedicine consultation. All telemedicine services must protect patient information. At the same time, bioethical principles of justice, autonomy, beneficence, and non-maleficence must also be applied like in-person care [23, 24]. In addition, another problem is related to reimbursement using the telemedicine service. Telemedicine services across countries have started to work many years ago, but doubts about jurisdiction and registration have not been answered accurately, yet [25]. Although some legal and ethical aspects of telemedicine have not been defined properly, it is also the case that clinicians who undertake telemedicine services in a prudent way will minimize the likelihood of medico-legal complications, in line with in-person visits [23, 24].
Carrying out the diagnosis of MS through telemedicine
Diagnosis of MS through telemedicine recommendations is shown in Table 2. Considering that MS diagnosis entails a complex diagnostic process, the panel suggested that the incorporation of telemedicine during this process should be carried out in conjunction with face-to-face consultations. In addition, the panel did not reach a consensus on whether the 2017 McDonald diagnostic criteria can be applied through telemedicine, highlighting that in-person visit with neurological examination must be performed in this important stage. Diagnostic criteria for MS combine clinical, imaging, and laboratory evidence. However, the experts that worked on the most recent revision of the McDonald criteria did not clarify what type of medical consultation should be used for the diagnosis of MS (face-to-face or virtual). They emphasize the importance of physical examination and clinical manifestations [26]. In this aspect, telemedicine has a limitation on the feasibility to perform a complete neurological examination. Although the AAN has released formal guidelines for remote neurologic exams, there is still no reliable way to evaluate all functional systems such as brainstem, sensory, motor, reflexes, or visual function [3, 27]. This limitation poses a concern for potential misdiagnosis and mismanagement. Misdiagnosis of MS remains an issue in clinical practice, and there are several factors that potentially increase this risk, even in specialized medical centers [28, 29]. Moreover, there is no single pathognomonic clinical feature or diagnostic test for diagnosing MS. Recent studies have demonstrated that a wide range of conditions can be mistaken for MS [28, 29]. In addition to requiring proper clinical examination, misapplication of McDonald’s radiological criteria is another leading cause of misdiagnosis. However, the panel considered that using the appropriate technology and complementary studies, including MRI and radiological criteria to MS diagnosis, can be evaluated by telemedicine in a similar way to in-person visit. In this regard, lumbar puncture may be needed in some cases to make MS diagnosis, it being another possible limitation for telemedicine, as this procedure has to be performed in an in-person visit.
Following the initial diagnosis and evaluation stage, the panel considered that the MS patients’ follow-up could be carried out using telemedicine. In fact, one of the most common applications assessed was the use of telemedicine in the longitudinal management of MS patients [5]. A review involving 28 studies and 3252 participants showed that telemedicine has been demonstrated to be technically feasible in MS patient care practice [5]. A recent investigation that compared telemedicine (video consultation) with face-to-face consultation reported wide MS patient acceptance of telemedicine, and most of them reported that they would opt for telemedicine in the future. The convenience, ease of communication with neurologists, and cost and time savings using telemedicine were highlighted [7]. Other studies also found both patients and health workers seemed to be satisfied with the telemedicine for general MS care services and longitudinal follow-up [10, 30, 31].
Follow-up: assessing disability and relapses in MS on teleneurology
The evaluation of disability and relapses through telemedicine recommendations is shown in Table 3. The American Academy of Neurology (AAN) has published recommendations for implementing a telemedicine service, suggesting that general neurological examination is feasible remotely, but with some caveats [8]. As mentioned above, there are difficulties in comprehensive neurological examination. For example, fundus, deep sensitivity, reflexes, or tone cannot be evaluated using telemedicine. Other neurological aspects of the exam depend on enough space such as gait testing or the availability of a caregiver to assist (such as sensory testing). A survey designed in order to investigate telemedicine follow-up of South American MS and NMOSD patients showed that 44.1% of the experts were able to carry out neurological examinations via telemedicine, and the majority was not able to evaluate the sensitivity and visual test [3].
Although there is no general agreement on MS-specific neurological examination using telemedicine, it has previously been validated as a tool for assessing disability in MS with high patient acceptability [5]. A reliable virtual examination could allow MS specialists to remotely evaluate patients who are fairly clinically stable, while sparing patients the financial and opportunity costs, caregiver burden, and traveling to their clinical appointments. For this reason, the panel recommended telemedicine to assess the disability of MS patients, using Tele-EDSS or web-based EDSS. Both Tele-EDSS and webcam-based EDSS have been previously tested with great acceptance by patients and providers. Tele-EDSS is the telemedicine tool to assess EDSS remotely, and it requires the use of a “neurological home kit” with a vision card, tuning fork, pin, cotton swab and alcohol swab, and a caregiver to help with the exam [15]. Tele-EDSS showed a good correlation with the in-person EDSS. Correlation for individual functional systems ranged from modest (vision: 0.37) to high (bowel/bladder: 0.79). Overall correlation between EDSS and tele-EDSS was 0.89 (p < 0.0001) and 0.98 (p < 0.0001) at EDSS range 4–7 [15]. Webcam-based EDSS showed a high correlation and showed no significant differences compared to face-to-face exams, particularly those with greater disability (EDSS > 6.0). The panel recognized certain limitations to these web tools. It has already been mentioned that the Tele-EDSS needs a neurological home kit with an approximate cost of 20 US dollars, which could represent an access problem in Argentina. On the other hand, the webcam-EDSS seems to have a low correlation with patients with little disability (EDSS < 6), which limits its use in this group of patients.
Patient-determined disease steps (PDDS) has been specifically developed as a patient-reported outcome measure of MS disability and has been validated in multiple languages [32, 33]. It is also available to be used online. In a recent Latin American study, almost 50% of experts are currently using PDDS to replace EDSS in remote examination [3]. The PDDS is strongly correlated with EDSS and especially with some functional systems (such as visual, pyramidal, cerebellar, sensory, bowel/bladder, and ambulatory) [32, 33]. Regarding T25FW, a randomized, controlled study showed no significant difference in the T25FW following 12 weeks of Internet-based physical therapy compared with usual care in MS patients. Additionally, the authors also found that participants who were less familiar with the internet needed more technological support and showed decreased login rates during the course of the program [5, 34].
Patient-reported outcomes (PROs) are increasingly used in MS research and clinical practice for understanding the effects that the disease and its treatments have on patients’ lives [35]. PROs are captured directly from patients and are especially useful to assess symptoms such as depression, cognition, and fatigue and to objectify the impact of the disease and patients’ quality of life [36]. Being able to administer this kind of instruments remotely has multiple advantages that were mentioned in previous sections, but the possibility of a more comprehensive follow-up of patients and its usefulness in research studies with large samples are highlighted [37]. Although there are controversies about the remote administration of questionnaires, mainly based on possible technical or understanding difficulties when completing them, there are studies that show the equivalence between this type of administration and pencil and paper one [38]. BDI-II is frequently used to assess depressive symptomatology in patients with MS and has an equivalence study that demonstrates robust psychometric properties to be administered remotely [39]. Fatigue is one of the most common symptoms in MS reported in 51–90% patients, according to a recently published meta-analysis [40], and one of the most used inventories to measure perceived fatigue is the FSS [41]. Although, to our knowledge, there are no equivalence studies with the remote version, it has been used in studies showing reliable results [42]. Assessing the impact of MS on the health-related quality of life (HRQoL) of patients is extremely relevant for patient-centered monitoring, which is why having the possibility of measuring it remotely is of outstanding utility. Previous studies have evaluated the HRQoL from online questionnaires [43] or telephone surveys with good response. The MusiQol, which has been validated in Argentina [44] and has a recent study, in which a virtual survey format was used is therefore considered a plausible tool to be used [45].
Cognitive complaint self-report questionnaires have validated virtual versions, as is the case of the multiple sclerosis neuropsychological questionnaire [46] which has its online version as part of the Buffalo Vocational Monitoring Survey [47].
Considering the high prevalence of cognitive impairment in patients with MS, and the impact that these symptoms generate in the different daily activities of patients [18], it is important to be able to evaluate it beyond the difficulties that some patients may have in approaching health centers. Although there are currently several computerized neuropsychological measures, many of which allow patients to be evaluated remotely, there are opposite opinions about the usefulness of these tests, mainly focused on weak reliability and validity results [48]. Nevertheless, there are studies that show that both automated batteries [9] and remote versions of MS validated tests [49] could be equivalent to face-to-face measurements. One of the measures considered reliable to manage remotely is the SDMT [50]. This is relevant data, since the International Multiple Sclerosis Cognition Society recommends this test as a sensitive screening measure to detect patients at risk of cognitive impairment [51]. Although a large amount of data reported to date is promising, the implementation of computerized or remote assessment instruments requires local validation studies of administration procedures, standardization of stimuli, and appropriate normative data, to yield reproducible and useful results both clinically and in research [48].
Identification and treatment of relapses
Identification and treatment of relapses recommendations are shown in Table 4. Previous studies have shown the usefulness of telemedicine for the identification of relapses during the beginning of the COVID-19 pandemic [52]. On the other hand, recommendations for the identification of relapses using telemedicine were also published during the pandemic [14, 53, 54]. A recent Argentinean publication describes the approach of the whole relapse process with fully telehealth management, from its diagnosis (onset) through the indication of oral methylprednisolone pulse at home, with close monitoring and follow-up of the patients until its resolution or stabilization. The results showed this was a safe and effective mean to treat MS and NMOSD relapses [54]. Therefore, if some elements are relatively easy to assess remotely (e.g., timing of symptoms, history of concomitant fever, symptoms of infection, among others) and neurological abnormalities could be detected as suggested above (Tele-EDSS, webcam-based EDSS, or PDDS), a relapse diagnosis could be made using telemedicine. In doubtful cases or when the patients cannot clearly refer to their symptoms, face-to-face evaluation is strongly recommended. Regarding the treatment of a relapse, corticosteroids are often the first treatment option for MS relapses [54]. Several clinical trials and two meta-analyses provide evidence that high-dose corticosteroids hasten neurological recovery and improve EDSS after MS relapse [55, 56]. To date, there remains considerable variability in the dosage, type, and duration of corticosteroid regimens used for relapsing MS. A recent review showed that there were no significant differences between the oral route of administration of corticosteroids compared to the intravenous route. In addition, there is evidence to support the use of oral corticosteroids at home [57,58,59,60].
Disease-modifying treatments
Long-term treatment recommendations are shown in Table 4. Within MS care, there are several opportunities to capitalize on the benefits of telemedicine for clinical care. Following the initial diagnosis and evaluation of a patient with MS, a dedicated follow-up visit is usually necessary to discuss DMT options. Telemedicine offers the patient a benefit of avoiding time, access problems, and costs associated with moving from home to the hospital [61]. Although there are no studies that demonstrate the benefits of telemedicine in monitoring treatment, the panel considered that telemedicine also offers the opportunity to evaluate some aspects such as adherence, adverse effects, and DMTs satisfaction. A randomized controlled pilot study found that brief telephone counseling was associated with better adherence to DMT among veterans with MS. Another study showed that teleneurology home monitoring improved MS disease modified therapy adherence monitoring and outcomes [9, 62,63,64].
Conclusions
Teleneurology can increase accessibility by bringing care to the patient and improve quality by monitoring and engaging with patients and enhance patient experience through greater convenience and access. A consensus on the use of teleneurology for the management of people with MS was achieved with a panel of experts using the methodology of “formal consensus RAND/UCLA Appropriateness method.” We recommended the use of this guideline to all Argentine neurologists dedicated to the management of people with MS. Our study is not exempt from limitations, which are fundamentally related to the fact that most of the tools recommended in this consensus have not been validated in our country. Pilot studies on the use of these good practice criteria in the management of teleneurology are recommended to analyze their operability, satisfaction, and quality.
Change history
09 November 2022
A Correction to this paper has been published: https://doi.org/10.1007/s10072-022-06497-8
References
W.G.O.f. eHealth (2022) Telemedicine: opportunities and developments in Member States: report on the second global survey on eHealth, 2010
Galpin K, Sikka N, King SL, Horvath KA, Shipman SA, ATA Committee (2021) expert consensus: telehealth skills for health care professionals. Telemed J E Health Off J Am Telemed Assoc 27(7):820–824
Alonso R, Carvajal R, Boaventura M, Galleguillos L (2021) Experience of South American MS and/or NMOSD experts in practice during the COVID-19 pandemic: focus on telemedicine. Mult Scler Relat Disord 48:102702
Ricardo A, CarneroContentti E, Anabel SB, Adrian LP, Orlando G, Fernando H, Victor R, Fernando G, Ignacio RJ (2020) Decision-making on management of ms and nmosd patients during the COVID-19 pandemic: a Latin American survey. Mult Scler Relat Disord 44:102310
Yeroushalmi S, Maloni H, Costello K, Wallin MT (2020) Telemedicine and multiple sclerosis: A comprehensive literature review. J Telemed Telecare 26(7–8):400–413
Chua R, Craig J, Esmonde T, Wootton R, Patterson V (2002) Telemedicine for new neurological outpatients: putting a randomized controlled trial in the context of everyday practice. J Telemed Telecare 8(5):270–273
Robb JF, Hyland MH, Goodman AD (2019) Comparison of telemedicine versus in-person visits for persons with multiple sclerosis: a randomized crossover study of feasibility, cost, and satisfaction. Mult Scler Relat Disord 36:101258
Hatcher-Martin JM, Adams JL, Anderson ER, Bove R, Burrus TM, Chehrenama M, Dolan O’Brien M, Eliashiv DS, Erten-Lyons D, Giesser BS, Moo LR, Narayanaswami P, Rossi MA, Soni M, Tariq N, Tsao JW, Vargas BB, Vota SA, Wessels SR, Planalp H, Govindarajan R (2020) Telemedicine in neurology: Telemedicine Work Group of the American Academy of Neurology update. Neurology 94(1):30–38
Settle JR, Robinson SA, Kane R, Maloni HW, Wallin MT (2015) Remote cognitive assessments for patients with multiple sclerosis: a feasibility study. Mult Scler 21(8):1072–1079
Turner AP, Wallin MT, Sloan A, Maloni H, Kane R, Martz L, Haselkorn JK (2013) Clinical management of multiple sclerosis through home telehealth monitoring: results of a pilot project. Int J MS Care 15(1):8–14
Bove R, Garcha P, Bevan CJ, Crabtree-Hartman E, Green AJ, Gelfand JM (2018) Clinic to in-home telemedicine reduces barriers to care for patients with MS or other neuroimmunologic conditions. Neurol Neuroimmunol Neuroinflamm 5(6):e505
CarneroContentti E, Pettinicchi JP, Lopez PA, Alonso R, Garcea O, Balbuena ME, Bortoluzzi C, Silva E, Cabrera M, Curbelo MC, Hryb JP, Di Pace JL, Perassolo M, Ianardi S, Mainella C, Mellinger S, Migliacci L, PaganiCassara F, Sinay V, Carra A, Questa Laudani M, Ruiz Romagnoli E, Liwacki S, Piedrabuena R, Tizio S, Tkachuk V (2019) Access and unmet needs to multiple sclerosis care in a cohort of Argentinean patients. Mult Scler Relat Disord 33:88–93
Bell BG, Spencer R, Avery AJ, Campbell SM (2014) Tools for measuring patient safety in primary care settings using the RAND/UCLA appropriateness method. BMC Fam Pract 15:110
Moccia M, Lanzillo R, Brescia Morra V, Bonavita S, Tedeschi G, Leocani L, Lavorgna L, W. Digital Technologies, N. Social Media Study Group of the Italian Society of (2020) Assessing disability and relapses in multiple sclerosis on tele-neurology. Neurol Sci 41(6):1369–1371
Bove R, Bevan C, Crabtree E, Zhao C, Gomez R, Garcha P, Morrissey J, Dierkhising J, Green AJ, Hauser SL, Cree BA, Wallin MT, Gelfand JM (2019) Toward a low-cost, in-home, telemedicine-enabled assessment of disability in multiple sclerosis. Mult Scler 25(11):1526–1534
Cristiano E, Rojas JI, Alonso R, AlvezPinheiro A, Bacile EA, Balbuena ME, Barboza AG, Bestoso S, Burgos M, Caceres F, CarneroContentti E, Curbelo MC, Deri N, Fernandez Liguori N, Gaitan MI, Garcea O, Giunta D, Halfon MJ, Hryb JP, Jacobo M, Kohler E, Luetic GG, Maglio I, Martinez AD, Miguez J, Nofal PG, Patrucco L, Piedrabuena R, Rotta Escalante R, Saladino ML, Silva BA, Sinay V, Tkachuk V, Villa A, Vrech C, Ysrraelit MC, Correale J (2020) Consensus recommendations on the management of multiple sclerosis patients in Argentina. J Neurol Sci 409:116609
Reich DS, Lucchinetti CF, Calabresi PA (2018) Multiple sclerosis. N Engl J Med 378(2):169–180
Benedict RHB, Amato MP, DeLuca J, Geurts JJG (2020) Cognitive impairment in multiple sclerosis: clinical management MRI, and therapeutic avenues. Lancet Neurol 19(10):860–871
Marchell R, Locatis C, Burgess G, Maisiak R, Liu WL, Ackerman M (2017) Patient and Provider Satisfaction with Teledermatology. Telemed J E Health Off J Am Telemed Assoc 23(8):684–690
Miller DM, Moore SM, Fox RJ, Atreja A, Fu AZ, Lee JC, Saupe W, Stadtler M, Chakraborty S, Harris CM, Rudick RA (2011) Web-based self-management for patients with multiple sclerosis: a practical, randomized trial. Telemed J E Health Off J Am Telemed Assoc 17(1):5–13
Montalban X, Graves J, Midaglia L, Mulero P, Julian L, Baker M, Schadrack J, Gossens C, Ganzetti M, Scotland A, Lipsmeier F, van Beek J, Bernasconi C, Belachew S, Lindemann M, Hauser SL (2021) A smartphone sensor-based digital outcome assessment of multiple sclerosis. Mult Scler 28:654–664. https://doi.org/10.1177/13524585211028561
D’Souza M, Papadopoulou A, Girardey C, Kappos L (2021) Standardization and digitization of clinical data in multiple sclerosis. Nat Rev Neurol 17(2):119–125
Rubin MA, Bonnie RJ, Epstein L, Hemphill C, Kirschen M, Lewis A, Suarez JI, Ethics, a.j.c.o.t.A.A.o.N.A.N.A. Humanities Committee, S. Child Neurology, C. in collaboration with the Neurocritical Care Society Ethics (2020) AAN position statement: The COVID-19 pandemic and the ethical duties of the neurologist. Neurology 95(4):167–172
Fields BG (2020) regulatory, legal, and ethical considerations of telemedicine. Sleep Med Clin 15(3):409–416
I.E.I.S. SECURITY (2021) Telemedicine: Good practices from latin america
Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, Correale J, Fazekas F, Filippi M, Freedman MS, Fujihara K, Galetta SL, Hartung HP, Kappos L, Lublin FD, Marrie RA, Miller AE, Miller DH, Montalban X, Mowry EM, Sorensen PS, Tintore M, Traboulsee AL, Trojano M, Uitdehaag BMJ, Vukusic S, Waubant E, Weinshenker BG, Reingold SC, Cohen JA (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2):162–173
Lo MD, Gospe SM Jr (2019) Telemedicine and child neurology. J Child Neurol 34(1):22–26
Solomon AJ, Bourdette DN, Cross AH, Applebee A, Skidd PM, Howard DB, Spain RI, Cameron MH, Kim E, Mass MK, Yadav V, Whitham RH, Longbrake EE, Naismith RT, Wu GF, Parks BJ, Wingerchuk DM, Rabin BL, Toledano M, Tobin WO, Kantarci OH, Carter JL, Keegan BM, Weinshenker BG (2016) The contemporary spectrum of multiple sclerosis misdiagnosis: a multicenter study. Neurology 87(13):1393–1399
Solomon AJ, Klein EP, Bourdette D (2012) “Undiagnosing” multiple sclerosis: the challenge of misdiagnosis in MS. Neurology 78(24):1986–1991
Zissman K, Lejbkowicz I, Miller A (2012) Telemedicine for multiple sclerosis patients: assessment using Health Value Compass. Mult Scler 18(4):472–480
Mercier HW, Ni P, Houlihan BV, Jette AM (2015) Differential impact and use of a telehealth intervention by persons with MS or SCI. Am J Phys Med Rehabil 94(11):987–999
Learmonth YC, Motl RW, Sandroff BM, Pula JH, Cadavid D (2013) Validation of patient determined disease steps (PDDS) scale scores in persons with multiple sclerosis. BMC Neurol 13:37
Lavorgna L, Esposito S, Lanzillo R, Sparaco M, Ippolito D, Cocco E, Fenu G, Borriello G, De Mercanti S, Frau J, Capuano R, Trojsi F, Rosa L, Clerico M, Laroni A, Morra VB, Tedeschi G, Bonavita S (2019) Factors interfering with parenthood decision-making in an Italian sample of people with multiple sclerosis: an exploratory online survey. J Neurol 266(3):707–716
Paul L, Coulter EH, Miller L, McFadyen A, Dorfman J, Mattison PG (2014) Web-based physiotherapy for people moderately affected with multiple sclerosis; quantitative and qualitative data from a randomized, controlled pilot study. Clin Rehabil 28(9):924–935
D’Amico E, Haase R, Ziemssen T (2019) Review: patient-reported outcomes in multiple sclerosis care. Mult Scler Relat Disord 33:61–66
Khurana V, Sharma H, Afroz N, Callan A, Medin J (2017) Patient-reported outcomes in multiple sclerosis: a systematic comparison of available measures. Eur J Neurol 24(9):1099–1107
Pratap A, Grant D, Vegesna A, Tummalacherla M, Cohan S, Deshpande C, Mangravite L, Omberg L (2020) Evaluating the utility of smartphone-based sensor assessments in persons with multiple sclerosis in the real-world using an app (elevateMS): observational, prospective pilot digital health study. JMIR Mhealth Uhealth 8(10):e22108
Engelhard MM, Patek SD, Sheridan K, Lach JC, Goldman MD (2017) Remotely engaged: Lessons from remote monitoring in multiple sclerosis. Int J Med Informatics 100:26–31
Schulenberg SE, Yutrzenka BA (2001) Equivalence of computerized and conventional versions of the Beck Depression Inventory-II (BDI-II). Curr Psychol 20(3):216–230
Loy BD, Taylor RL, Fling BW, Horak FB (2017) Relationship between perceived fatigue and performance fatigability in people with multiple sclerosis: A systematic review and meta-analysis. J Psychosom Res 100:1–7
Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD (1989) The fatigue severity scale Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 46(10):1121–1123
Finlayson M, Preissner K, Cho C, Plow M (2011) Randomized trial of a teleconference-delivered fatigue management program for people with multiple sclerosis. Mult Scler 17(9):1130–1140
Ozkeskin M, Ozden F, Karaman B, Ekmekci O, Yuceyar N (2021) The comparison of fatigue, sleep quality, physical activity, quality of life, and psychological status in multiple sclerosis patients with or without COVID-19. Mult Scler Relat Disord 55:103180
Simeoni M, Auquier P, Fernandez O, Flachenecker P, Stecchi S, Constantinescu C, Idiman E, Boyko A, Beiske A, Vollmer T, Triantafyllou N, O’Connor P, Barak Y, Biermann L, Cristiano E, Atweh S, Patrick D, Robitail S, Ammoury N, Beresniak A, Pelletier J, G MusiQol study (2008) Validation of the multiple sclerosis international quality of life questionnaire. Mult Scler 14(2):219–230
AR Cohen L, Silva BA, Pita C, Ciufia N, Garcea O, Eizaguirre MB (2022) Impact of the coronavirus SARS COV-2 (COVID19) pandemic on the quality of life and mood of patients with multiple sclerosis, 2021
Benedict RH, Munschauer F, Linn R, Miller C, Murphy E, Foley F, Jacobs L (2003) Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire. Mult Scler 9(1):95–101
Benedict RH, Rodgers JD, Emmert N, Kininger R, Weinstock-Guttman B (2014) Negative work events and accommodations in employed multiple sclerosis patients. Mult Scler 20(1):116–119
Wojcik CM, Beier M, Costello K, DeLuca J, Feinstein A, Goverover Y, Gudesblatt M, Jaworski M 3rd, Kalb R, Kostich L, LaRocca NG, Rodgers JD, Benedict RH, M.S.S.C.W.T. National (2019) Computerized neuropsychological assessment devices in multiple sclerosis: a systematic review. Mult Scler 25(14):1848–1869
Barcellos LF, Horton M, Shao X, Bellesis KH, Chinn T, Waubant E, Bakshi N, Marcus J, Benedict RH, Schaefer C (2021) A validation study for remote testing of cognitive function in multiple sclerosis. Mult Scler 27(5):795–798
T Eilam-Stock, MT Shaw, K Sherman, LB Krupp, LE Charvet, (2021) Remote administration of the symbol digit modalities test to individuals with multiple sclerosis is reliable: a short report, Multiple sclerosis journal - experimental, translational and clinical 7(1) 2055217321994853.
Kalb R, Beier M, Benedict RH, Charvet L, Costello K, Feinstein A, Gingold J, Goverover Y, Halper J, Harris C, Kostich L, Krupp L, Lathi E, LaRocca N, Thrower B, DeLuca J (2018) Recommendations for cognitive screening and management in multiple sclerosis care. Mult Scler 24(13):1665–1680
A.D. Arianna Sartori, Fulvio Pasquin, Sara Baldini, Alessio Bratina, Antonio Bosco, Paolo Manganotti (2021)Telemedicine for routinary multiple sclerosis follow-up during SARS-CoV2 pandemic: a single center experience. J Neurol Sci 429
Segamarchi C, Silva B, Saidon P, Garcea O, Alonso R (2020) Would it be recommended treating multiple sclerosis relapses with high dose oral instead intravenous steroids during the COVID-19 pandemic? Yes. Mult Scler Relat Disord 46:102449
Luetic GG, Menichini ML, Fernandez O (2021) Oral administration of methylprednisolone powder for intravenous injection dissolved in water to treat MS and NMOSD relapses during COVID-19 pandemic in a real-world setting. Mult Scler Relat Disord 54:103148
Filippini G, Brusaferri F, Sibley WA, Citterio A, Ciucci G, Midgard R, Candelise L (2000) Corticosteroids or ACTH for acute exacerbations in multiple sclerosis. Cochrane Database Syst Rev 4:CD001331
Miller DM, Weinstock-Guttman B, Bethoux F, Lee JC, Beck G, Block V, Durelli L, LaMantia L, Barnes D, Sellebjerg F, Rudick RA (2000) A meta-analysis of methylprednisolone in recovery from multiple sclerosis exacerbations. Mult Scler 6(4):267–273
Alam SM, Kyriakides T, Lawden M, Newman PK (1993) Methylprednisolone in multiple sclerosis: a comparison of oral with intravenous therapy at equivalent high dose. J Neurol Neurosurg Psychiatry 56(11):1219–1220
Le Page E, Veillard D, Laplaud DA, Hamonic S, Wardi R, Lebrun C, Zagnoli F, Wiertlewski S, Deburghgraeve V, Coustans M, Edan G, C. investigators, N. West Network for Excellence in (2015) Oral versus intravenous high-dose methylprednisolone for treatment of relapses in patients with multiple sclerosis (COPOUSEP): a randomised, controlled, double-blind, non-inferiority trial. Lancet 386(9997):974–981
Martinelli V, Rocca MA, Annovazzi P, Pulizzi A, Rodegher M, MartinelliBoneschi F, Scotti R, Falini A, Sormani MP, Comi G, Filippi M (2009) A short-term randomized MRI study of high-dose oral vs intravenous methylprednisolone in MS. Neurology 73(22):1842–1848
Ramo-Tello C, Grau-Lopez L, Tintore M, Rovira A, RamioTorrenta L, Brieva L, Cano A, Carmona O, Saiz A, Torres F, Giner P, Nos C, Massuet A, Montalban X, Martinez-Caceres E, Costa J (2014) A randomized clinical trial of oral versus intravenous methylprednisolone for relapse of MS. Mult Scler 20(6):717–725
Xiang XM, Bernard J (2021) Telehealth in multiple sclerosis clinical care and research. Curr Neurol Neurosci Rep 21(4):14
Turner AP, Roubinov DS, Atkins DC, Haselkorn JK (2016) Predicting medication adherence in multiple sclerosis using telephone-based home monitoring. Disabil Health J 9(1):83–89
Turner AP, Sloan AP, Kivlahan DR, Haselkorn JK (2014) Telephone counseling and home telehealth monitoring to improve medication adherence: results of a pilot trial among individuals with multiple sclerosis. Rehabil Psychol 59(2):136–146
Kasschau M, Reisner J, Sherman K, Bikson M, Datta A, Charvet LE (2016) Transcranial direct current stimulation is feasible for remotely supervised home delivery in multiple sclerosis. Neuromodulation J Int Neuromodulation Soc 19(8):824–831
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This consensus was supported by Merck-Argentina, Raffo, Novartis-Argentina, Biosidus and Bristol Myers Squibb-Argentina. Merck-Argentina, Raffo, Novartis-Argentina, Biosidus and Bristol Myers Squibb-Argentina had no role with regards to the study design; the collection, analysis, and interpretation of data; the writing or the consensus; and the decision of its submission or the journal of choice for publication.
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Alonso, R., Eizaguirre, M.B., López, P. et al. Argentinean consensus recommendations for the use of telemedicine in clinical practice in adult people with multiple sclerosis. Neurol Sci 44, 667–676 (2023). https://doi.org/10.1007/s10072-022-06471-4
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DOI: https://doi.org/10.1007/s10072-022-06471-4