Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67851, first published .
The Potential for Smart Glasses to Transform Facial Palsy Therapy Globally: UK Budget Analysis, Delphi Outcomes Valuation Exercise, and Economic Modeling of Cost-Effectiveness

The Potential for Smart Glasses to Transform Facial Palsy Therapy Globally: UK Budget Analysis, Delphi Outcomes Valuation Exercise, and Economic Modeling of Cost-Effectiveness

The Potential for Smart Glasses to Transform Facial Palsy Therapy Globally: UK Budget Analysis, Delphi Outcomes Valuation Exercise, and Economic Modeling of Cost-Effectiveness

1Department of Economics, Institute of Business Administration, University of Karachi, Karachi, Pakistan

2Centre for Healthcare and Communities, Research Methods Evaluation Unit, Coventry University, Richard Crossman Building, Priory St, Coventry, United Kingdom

3Warwick Clinical Trials Unit and Centre for Health Economics, Warwick Medical School, University of Warwick, Coventry, United Kingdom

4University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom

5Facial Palsy Team, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, West Sussex, United Kingdom

6Facial Palsy Service, Mersey and West Lancashire Teaching Hospitals NHS Trust, Liverpool, United Kingdom

7Research Centre for Physical Activity, Sport and Exercise Sciences, Coventry University, Coventry, United Kingdom

8Queen Victoria Hospital NHS Foundation Trust, East Grinstead, West Sussex, United Kingdom

Corresponding Author:

Ala Szczepura, BA, DPhil


Background: Facial palsy is the most common single nerve disorder worldwide. Incidence rates are rising globally, with incomplete recovery producing long-term reductions in quality of life for one in three cases. Facial neuromuscular retraining (fNMR) to restore balanced facial function is the most widely evaluated effective nondrug therapy. There are currently no estimates of the likely economic impact of introducing telerehabilitation into the fNMR therapy pathway.

Objective: This study aims to undertake an analysis of the economic burden associated with facial palsy in the United Kingdom and model the cost-effectiveness of telerehabilitation (tracking sensors in smart glasses) in the fNMR therapy pathway.

Methods: The national burden associated with facial palsy was estimated including all treatment costs and economic consequences of unresolved cases. Estimates were based on annual incidence, clinical treatment patterns, recovery profiles, and impact on health-related quality of life. The monetary value placed on different levels of clinical recovery (House-Brackmann [HB] grade) was identified via a national Delphi exercise. An economic model was developed to estimate the costs and benefits of telerehabilitation from a health care perspective and to calculate incremental cost-effectiveness.

Results: Direct health care costs of facial palsy treatment for all patients diagnosed each year in the United Kingdom are estimated to be £86.3 million (2020 and 2021 prices; a currency exchange rate of £1.36=US $1 is applicable). Long-term morbidity costs associated with these annual cases total £351 million to £584 million. The inclusion of societal costs, such as changes in employment, will increase this figure to over £1.27 billion. Clinical recovery from HB grades 5 and 6 is valued at >£19,400, and at £8600 for HB grades 3 and 4. Economic modeling predicts that telerehabilitation will reduce health care costs and improve outcomes, with conservative estimates indicating £468 savings per patient and a health gain of 0.14 in HB grade. If smart glasses were added to fNMR therapy for patients with incomplete recovery, this is predicted to save national health care costs of up to £3.08 million per annual cohort. The associated HB grade recovery is valued at up to £17.8 million. The inclusion of factors related to the wider societal impact (eg, on employment) will increase cost savings significantly.

Conclusions: The introduction of telerehabilitation to support self-management as part of facial palsy therapy is predicted to reduce costs and improve patient outcomes, and will not require substantial early investment. Further trials with integral economic evaluations are now needed to establish cost-effectiveness in real-world settings of digitally supported fNMR early in recovery and in chronic cases.

J Med Internet Res 2025;27:e67851

doi:10.2196/67851

Keywords



A rapidly evolving ecosystem is developing in health care to provide both patients and professionals with digital solutions for disease management and rehabilitation [1]. Although evidence of the value of telerehabilitation is increasing for certain neurological disorders such as stroke, to date, there has been little consideration of facial palsy [2-4]. Bell palsy is the most common single nerve disorder worldwide, leaving patients unable to move muscles on the affected side of their face [5,6]. It is acknowledged that facial palsy is not a single entity, but rather a feature of different neurological conditions, with Bell palsy representing the majority of cases (approximately 60%) [7]. Facial palsy will affect 11‐40 people per 100,000 in the population each year, most commonly in the age group of 30‐45 years [8]. There are approximately 22,500 new facial palsy cases reported each year in the United Kingdom [9]. Occurrence can be linked to obesity, hypertension, diabetes, upper respiratory conditions, people who are immunocompromised, and pregnancy [10,11]. Although the underlying cause remains unclear [10], facial palsy has long been associated with reactivation of latent herpes virus infections [12], with rises reported to be linked to increasing rates of this infection [13]. More recently, systematic reviews have reported evidence of links with COVID-19 infections and vaccine programs [14,15]. Over the course of their lifetime, 1 in 60 people will be affected, and 30% will experience incomplete recovery [16,17]. People with incomplete recovery experience long-term reductions in quality of life, including psychological distress, depression, and social alienation [8,18-21].

Evidence of cost-effective treatments for facial palsy is limited to medication (ie, prednisolone within 72 hours of symptom onset) [22]. Among nondrug treatments, physical therapies such as facial neuromuscular retraining (fNMR) to optimize muscle resting tone and retrain balanced facial function have been most widely evaluated [23-25]. Systematic reviews provide evidence of their effectiveness early in recovery and potentially in chronic cases [9,26,27]. However, evidence on cost-effectiveness is lacking. Access to such specialist therapy is also difficult, with 1 in 10 patients in the United Kingdom reporting they travel ≥115 miles for their regular outpatient appointments [28].

Early research has suggested that biofeedback directly to patients with facial palsy could improve outcomes and reported interest among patients in innovative digital therapy or telecare [29,30]. A recent scoping review of telerehabilitation for peripheral facial palsy has identified 18 studies; these include 4 randomized controlled trial protocols, but no completed evaluations [31]. A similar scoping review of extended reality, including virtual reality (VR), has identified 7 studies but concluded that further research and validation are required [32]. Facial palsy guidelines do not currently mention telerehabilitation [24]. In contrast, the evidence base for telerehabilitation in other neurological conditions such as stroke is more well established. A systematic review of stroke home-based rehabilitation has identified over 90 existing systems, including robotics, VR, and game devices, with high effect sizes reported [33,34]. Robotic gait training is reported to produce a 52% increase in functional ambulation [35], video-guided home exercise programs have demonstrated up to 70% mobility gain [36,37], and VR use in home-based rehabilitation has shown 85% motor recovery gain [34,38]. While stroke rehabilitation guidelines currently incorporate evidence on the effectiveness of telerehabilitation [39], there still remains a significant gap in terms of any evidence on cost-effectiveness [40].

This economic analysis of telerehabilitation introduced into the fNMR pathways, therefore, addresses an important evidence gap for neurological conditions. This research is part of a wider program exploring the potential for facial remote monitoring eyewear (Frame) to transform facial palsy therapy [41]. Frame smart glasses can provide discreet feedback to patients while they undertake prescribed fNMR exercises at home and could improve monitoring by specialist therapists [42].


Summary

The economic analysis included three elements. First, a national budget analysis was used to assess the economic burden associated with facial palsy cases, including treatment costs and the effects of living with acquired facial palsy and long-term facial disfigurement [16]. Second, a national Delphi exercise was conducted to identify the monetary value placed on various levels of clinical recovery. Third, economic modeling was performed to assess the cost-effectiveness of adding remote monitoring eyewear to the fNMR pathway.

Ethical Considerations

Ethics approval was granted by the Health and Life Sciences Research Ethics Committee, University of Coventry, for the surveys on UK treatment pathways and the Delphi study to evaluate outcomes (P48908). Participants formally consented. Study data were anonymous or deidentified. Participants were not provided with any compensation.

Estimating National Treatment Costs

Medical resource use (primary care, hospital referrals, and inpatient stays) and therapy costs (fNMR and psychological therapy) were estimated per annual cohort. Estimates were based on epidemiological studies, a national survey of UK treatment pathways, and expert opinion [28,43]. Individual medical treatments were priced based on national reference costs for the 2020/2021 financial year; any earlier prices were inflated using the National Health Service (NHS) Cost Inflation Index pay and prices index [44,45]. All medical treatments were assumed to occur within 12 months following diagnosis, so no cost discounting was required. Physical and psychological therapy costs were calculated similarly.

Estimating Annual Cohort Long-Term Morbidity Costs

The long-term morbidity associated with unresolved cases was estimated based on the annual number of UK cases, predicted recovery profiles, and reported reduction in health-related quality of life (HRQoL) for any unresolved cases [46]. For the subgroup who recover fully, HRQoL was assumed to only be affected for a period of 6 months, after which the individual returns to full health (for their age) [19]. For the subgroup with incomplete recovery, it was assumed that an individual remains in this state for the remainder of their life. The resulting reduction in HRQoL was converted to a monetary value by applying the National Institute for Health and Care Excellence (NICE) value threshold of £20,000 to £30,000 per quality-adjusted life-year [47]. A currency exchange rate of £1.36=US $1 is applicable.

Estimating Societal Costs

It is recognized that patients with facial palsy with incomplete recovery may cease employment or move away from public-facing roles [20]. This can lead to reduced economic activity and increased social security benefit payments [48]. An approximation of these costs was based on data for people of a similar age with disabilities [49].

Delphi Method: Valuation of House-Brackmann and Trial Outcome Measures

Trials of fNMR therapy generally report outcomes in terms of a nerve grading system, most frequently the House-Brackmann (HB) grade, rather than a utility measure (eg, EQ-5D) [9]. A Delphi exercise was undertaken over the period December 2018 to March 2019 to identify the monetary value placed on outcomes reported as an improvement in HB grade, building on earlier studies [50,51]. Purposive sampling was used to identify national experts in facial palsy and assistive technology. Invitations were sent by email, and once a panel member had consented, they were sent the round 1 Delphi questionnaire (Multimedia Appendix 1). The questionnaire was piloted for comprehension before use. In the first round, panel members were asked to place a monetary value on recovery from different grades of unilateral facial paralysis, set within monetary ranges recorded in an earlier study undertaken in the United States [50]. Consensus was set ex ante at 66% agreement. Round 1 responses were analyzed, and any statement showing consensus was extracted. In addition, panel members were provided with a list of other outcomes commonly reported in clinical trials and asked to rate their importance. Round 2 questionnaires were personalized for each panel member by presenting their round 1 scores in the context of overall panel responses; individuals could revise their ratings if they wished. The level of agreement was measured based on the modal consensus approach [52].

Modeling of the Cost-Effectiveness of Smart Glasses Added to the fNMR Pathway

A decision analytic modeling approach was used to estimate the impact on costs and health outcomes of adding remote monitoring eyewear to the fNMR pathway [53]. The economic model was developed in Microsoft Excel and populated with pathway probabilities and health outcomes, as well as costs. The status quo was assumed to be represented by the NHS treatment pathway recorded in a UK survey [28]. It was assumed that the likelihood of patients being referred for fNMR would not be affected by the addition of telerehabilitation. The economic analysis adopted an NHS perspective and excluded patient-borne and societal costs. The cost of specialist fNMR therapy was based on a typical set of activities (units) identified by experts (physiotherapist and surgeon) and priced based on locally available data. Other health care resource items in the pathway were priced based on NHS national reference costs [44]. The cost of Frame eyewear was linked to the price identified as acceptable to UK health care providers in independent market research [54]. The average cost per pathway was estimated by multiplying each resource item by the percentage of patients referred to produce a total cost [43-45]. Prices were inflated to the 2020/2021 financial year where necessary. Health care costs in the two arms of the model were compared to differences in health outcomes (ie, improvements in HB grade). Changes in HB grade were assumed to remain the same across both arms following therapy, so that any variation in expected health outcomes results from pathway probabilities. The effect size associated with remote monitoring eyewear was based on the reported impact of telerehabilitation in other neurological conditions such as stroke and expert opinion [34]. The economic analysis followed international standards for health economics research and reporting results [55,56].


National Treatment Costs

A breakdown of medical treatment and therapy costs is shown in Table 1. The total direct health care cost for the cohort of patients diagnosed in 2020/2021 is estimated to be £86.98 million. The majority of this figure (£86.34 million) is linked to medical costs, with 92.9% (£80.239 million/£86.339 million) associated with hospital inpatient stays, 2.7% (£2.335 million/£86.339 million) with outpatient referrals, and 4.4% (£3.765 million/£86.339 million) with general practitioner consultations and primary care prescribing. Overall, physical and psychological intervention costs are much smaller at £0.64 million, with 31.3% (£201,082/£643,292) of the total therapy figure relating to fNMR costs.

Table 1. UK medical treatment and therapy costs over 12 months for patients with facial palsy diagnosed annually.
Type of activityAnnual facial palsy cases, nUnit cost
a; 2020/2021 prices)
Total NHSb cost
(£; 2020/2021 prices)
1A: Medical treatment costs
Primary care
  GPc consultationsd67,97139.00e2.651 million
  Corticosteroids/prednisolonef22,65745.33g1.027 million
  Other medication (eg, antivirals, antibiotics)h566415.41i87,282
Total primary care costsj3.7653 million
Outpatient referrals
  Referral to ophthalmologistk6570123808,110
  Referral to ear, nose, and throat consultantk6570123808,110
  Referral to plastic surgeonl3625122442,250
  Referral to another specialist (eg, neurologist)m2266122276,452
Total hospital referral costs2.3349 million
Inpatient stay
  Total elective inpatient episodesn22,4573573o80.239 million
 Total medical treatment costs86.339 million
1B: Physical and psychological therapy costs
Facial neuromuscular retraining therapy
  Initial consultations with facial therapistp112053q59,360
  Follow-up appointmentsp267453q141,722
  Subtotal3794201,082
Referrals for other physical therapies
  Acupuncturer113368.82s77,973
  Electrical stimulationr113338.16t43,235
  Massage, etcr113338.16u43,235
  Subtotal3399164,444
Referrals for psychological therapy
  Counsellingr1133123v139,359
  Cognitive behavioral therapyr1133122.16w138,407
  Subtotal2266277,766
 Total therapy costs9459643,292
Grand total treatment costs86.982 million

aA currency exchange rate of £1.36=US $1 is applicable.

bNHS: National Health Service.

cGP: general practitioner.

dThree GP consultations per new case.

eSource: Unit Costs of Health and Social Care 2021 [45].

fAll new cases treated with 50 mg for 10 days.

gSource: NICE Clinical Knowledge Summaries [57].

h25% of cases treated with 75 mg twice daily of oseltamivir.

iSource: NICE British National Formulary [58].

jNot applicable.

kOne referral per patient not fully recovered (29%).

lAll patients with permanent deficit (16%).

m10% of new cases referred for expert opinion.

nTotal recorded for patients with Bell palsy in 2016/2017 (scaled up for facial palsy cases).

oSource: Cooper et al [43].

pSurvey of national specialist centers [28].

qPhysiotherapist/occupational therapist band: 60 minutes per session [45].

r5% of new cases.

sNHS Schedule of Reference costs for years 2019/2020 (adjusted to 2020/2021 prices) [59].

tFees paid at private clinic (adjusted to 2020/2021 prices).

uNonspecialist rehabilitation services level 3, NHS reference costs [59].

vSource: Unit Costs of Health and Social Care 2021 [45].

wTherapy sessions (£173/session, £14 per service user; uplifted to 20/21 prices) [60].

Annual Cohort Long-Term Morbidity Costs

The long-term morbidity burden associated with unresolved cases per annual cohort is shown in Table 2 in terms of quality-adjusted life-years loss. After applying the NICE threshold, this long-term loss is valued at between £238 million and £357 million per cohort. This is 2.7 to 4.1 times the estimated total medical and therapy treatment cost of £86.98 million. The low cost of fNMR therapy in Table 1 partly reflects the fact that only 4.9% (1120/22,657) of new cases or 17.0% (1120/6570) of unresolved cases are reported to be referred for fNMR.

Table 2. Annual number of cases, recovery profiles, quality-adjusted life-years lost, and morbidity cost.
Level of recoveryAnnual facial palsy casesa, n (%)Time in health stateTotal QALYsb lostcMorbidity cost (£ millionsd)
Full recovery16,086 (71.0)2-3 weeks to 9 months (average 6 mo)3226.44-9.60
Partial recovery2945 (13.0)44.1 yearse5195103.9‐155.85
Permanent deficit3625 (16.0)44.1 yearse6395127.9‐191.86
All cases diagnosed22,657 (100.0)f11,912238.24‐357.31

aBased on Bell palsy incidence (scaled up to all facial palsy cases) plus reported recovery pattern [8,61,62].

bQALY: quality-adjusted life-year.

cBased on average reported decrease in health-related quality of life [46].

dA currency exchange rate of £1.36=US $1 is applicable.

eBased on median age of Bell palsy diagnosis (37.5 y) and average length of life in the United Kingdom (81.6 y) [28].

fNot applicable.

Societal Costs

Incomplete recovery can lead to reduced economic activity, social security benefit payments, and loss of tax revenues generated through work [48]. Such societal costs are not included in Table 1. However, people of a similar average age (40 y) with 10% to 20% disablement are reported to receive cumulative social security benefit payments of £5000-£10,000 over 5 years [49]. Applying this to a facial palsy cohort would add a further societal cost of £113.3 million to £226.6 million over 5 years. This produces a final conservative estimate for the total economic burden, including societal costs, of £351 million to £584 million per annual cohort.

Delphi Valuation of HB Grade and Other Trial Outcome Measures

All 26 experts invited to join the Delphi panel accepted (see Multimedia Appendix 1 for panel details). All panel members completed the round 1 questionnaire, with 19 (73.1%) returning the round 2 questionnaire. Table 3 shows the values placed on a patient’s clinical recovery from different HB grades of paralysis and ratings of the importance of other outcomes reported in trials. The modal rating for high grades of 5 and 6 paralysis achieved predefined consensus (66% agreement) in round 1 with 83% agreement, and for medium severity grades of 3 and 4 paralysis in round 2 with 69% consensus. The modal value for low-severity paralysis failed to show consensus by the end of round 2 (35% agreement). Multimedia Appendix 2 provides a description of HB grades.

Table 3 also shows the perceived importance of other outcomes most commonly reported in evaluation studies. There was full consensus (100%) on four measures rated as being “very important,” with three further outcomes (psychological distress, patient-borne costs, and NHS treatment costs) achieving a lower level of agreement at 88%‐96%, but well above the ex ante 66% level required for consensus. The one outcome rated “important” (impact on employment) demonstrated consensus at 77% agreement.

Table 3. Delphi panel consensus on key outcome measures and value placed on level of recovery (2019/2020 prices).
StatementsAgreement (%)aModal rating (when consensus was reached)
Repair of House-Brackmann grades
 High-grade paralysis (grades 5 and 6)83≥£19,400b (round 1)
 Medium-grade paralysis (grades 3 and 4)69≥£8600 (round 2)
 Low-grade paralysis (grades 1 and 2)35≤£1800
Key outcome measures
 Appearance/facial symmetryc100Very important (round 1)
 Facial paralysis/motor recoveryc100Very important (round 1)
 Pain/facial discomfortc100Very important (round 1)
 Social functionc100Very important (round 1)
 Psychological distress96Very important (round 1)
 Patient-borne costs (eg, travel)92Very important (round 1)
 National Health Service treatment costs88Very important (round 1)
 Change of employment77Important (round 1)

aPercent agreement was based on the modal consensus approach [52].

bA currency exchange rate of £1.36=US $1 is applicable.

cThese outcome measures were all equally ranked as first.

Cost-Effectiveness of Smart Glasses Added to fNMR Pathway

A decision tree model was constructed as shown in Figure 1. An initial node represents patients who do not recover fully in the first 6 months following initial treatment (eg, prednisolone and advice on eye care). From this initial node, there are two branches: the face-to-face fNMR pathway (status quo) and telerehabilitation (Frame pathway). Each branch then develops two arms: one resulting in no further recovery and one showing some or full recovery. There are then three further branches depending on the state of facial paralysis at entry level (ie, HB grades severe, moderate, or mild). The chance of recovery with telerehabilitation, compared to the status quo, was set at the lowest effect sizes reported for telerehabilitation introduced into stroke pathways [34]. Probability-weighted costs and outcomes were calculated for the two pathways separately, after adjusting corresponding absolute values with joint probabilities of events along the pathway.

Figure 1. Decision analytic model structure: facial neuromuscular retraining with and without telerehabilitation. HB: House-Brackmann.

Table 4 presents a bottom-up cost for a full fNMR pathway (status quo). In addition to fNMR appointments, the total cost includes an initial multidisciplinary assessment and administration of botulinum toxin injections. As a check, the final estimate calculated in this way was then compared to contract prices recorded by service commissioners in England and found to fall well within the range reported [63]. The unit price of the eyewear was set at a high figure of £495.83 (175% of the average £283.33 reported to be an accepted price point in the market survey) [54].

Table 4. Total cost of the full course of facial neuromuscular retraining (fNMR) therapy (2020/2021) pricesa.
Status quo activityUnit cost (£)bUnitsTotal cost per patient (£)
Initial multidisciplinary team clinic appointment159.681159.68
Psychological assessment95.72195.72
fNMR appointments (with neurophysiotherapist)65.856395.10
Botulinum toxin appointments247.57102475.65
Total cost of fNMR per patientc3126.10

aSource: Unit Costs of Health and Social Care 2021 [45].

bA currency exchange rate of £1.36=US $1 is applicable.

cNot applicable.

Table 5 presents the incremental cost-effectiveness ratio analysis. This indicates that a full course of fNMR incorporating smart glasses will both cost less and result in better health outcomes than the status quo. In other words, the pathway including Frame eyewear is “dominant.” Per patient, the cost saving is estimated to be £468, and the health gain an improvement of 0.14 in HB grade per person.

Table 5. Incremental cost-effectiveness ratio analysis (probability-weighted costs and outcomes).
ItemExpected cost of facial therapy (£)aExpected health gain (House-Brackmann grade)
With Frame1095.381.261
Without Frame1563.071.125
Incremental difference–467.69+0.14

aA currency exchange rate of £1.36=US $1 is applicable.


Principal Results

To our knowledge, this is the first study to assess the economic burden associated with facial palsy, including the costs of treatment and impact on HRQoL, and to model the cost-effectiveness of introducing telerehabilitation into the fNMR pathway. Our economic modeling shows that if remote monitoring (tracking sensors in smart glasses) were to be added to the current pathway, this would prove “dominant” from a health care perspective. In other words, telerehabilitation is predicted to both reduce overall health care costs and result in better outcomes for patients. Scaled up to a national level, the cost saving predicted per patient in the base case would result in savings of up to £3.08 million if all 6570 patients with incomplete recovery in an annual UK cohort were offered digitally supported fNMR, or £0.52 million if it were limited to unresolved cases currently referred for fNMR. Furthermore, according to the Delphi panel valuation, the health gain in terms of HB grade improvement for 6570 patients would represent up to £17.8 million. Within a context where the economic burden associated with residual deficits in unresolved cases is £238 million-£357 million per annual cohort, there is considerable room for investment in technologies that could improve long-term quality of life [16]. Changes in employment for unresolved cases will increase long-term costs to £1.27 billion [48,64], offering even more potential if an innovation can reduce societal costs by improving patient outcomes. In the context of a rise in facial palsy cases [13-15,65-68], it is even more important to identify and evaluate such innovations.

Limitations

There are a number of limitations to our economic evaluation. First, the inputs used in the decision tree model are based on average costs and outcomes, while studies indicate that treatment and recovery patterns can vary across patients [28,69]. Ideally, a future model should incorporate such heterogeneity. Second, our economic model used HB grade improvement as the outcome measure since this is most commonly used in studies of effectiveness [9]. However, we were reliant on data from stroke trials for an estimate of the effect size associated with the introduction of telerehabilitation, so the model could not fully account for different levels of HB grade or severity. Because of this uncertainty, a conservative effect size was used, far lower than the 52% to 85% levels reported for stroke [34-36]. In terms of cost inputs, the economic model also set a high price for the wearable device at £496 or 175% of the average acceptable price reported in independent market research [54]. In fact, because incorporating smart glasses reduces health care costs and improves health outcomes, the cost of the device could be increased further up to a break-even price of £964 (US $1234) and still prove cost-effective. The break-even price falls between that of Meta Ray-Ban smart glasses (US $299), which offer artificial intelligence–assisted entertainment [70], and the Apple Vision Pro (US $3499), which provides mixed reality experiences [71]. The unit cost assumed single-use, but Frame devices could be reused by a health care provider, lowering unit costs [72]. A pathway with digital support might also reduce the number of certain costly treatments associated with fNMR (eg, botulinum toxin appointments). The model made no such assumption. Finally, because our analysis adopted a health care perspective, this means that patient costs are excluded, although some, such as patient-borne travel costs for regular outpatient appointments, can be substantial [28]. The impact on a person’s income associated with changes in employment for unresolved cases was also excluded but can be significant [18,21].

In terms of outcomes, our economic model may underestimate benefits. First, it did not consider the possibility of increased adherence to prescribed fNMR exercises, although there is some evidence of this [29]. Second, it assumed no impact related to accurate monitoring by clinicians, although there is evidence that professionals assume better adherence levels than those recorded by patients themselves [28]. For stroke, there is international evidence of wide variations in the monitoring of rehabilitation [73]. Third, telerehabilitation at an earlier point might also result in less entrenched dyskinetic patterns and, in some cases, could minimize more severe residual involuntary movements known as synkinesis [8]. People with these severe residual deficits experience a greater long-term reduction in quality of life [8,18-21].

In summary, although the data did not allow a full sensitivity analysis to be undertaken, the assumptions made about costs and effectiveness in this preliminary economic model are conservative and probably underestimate real-world benefits and cost savings. Ideally, a lifetime horizon should be explored in future economic analyses. It should also be borne in mind that the model is based on UK fNMR pathways, but these may vary internationally.

Comparison With Other Work

UK guidance on the management of facial palsy currently includes no mention of telerehabilitation or consideration of its cost impact or likely cost-effectiveness [24]. An evidence gap remains, even though a study of the implications of telemedicine published in 2019 recommended that future research should consider costs [74]. This study is part of an ongoing research program assessing the value of adding telerehabilitation to the facial palsy fNMR pathway. This includes a market assessment to explore pricing and routes to market [54], a national survey of UK treatment pathways [28], and a systematic review to update evidence on fNMR effectiveness now added to NICE guidelines on management of facial palsy [9,24]. Economic evaluations similar to this study are limited. There is no mention of facial palsy in a general review of telerehabilitation [2], two systematic reviews of economic analyses of home-based telerehabilitation [4], or an economic evaluation of physiotherapy interventions for neurological disorders [3]. For severe neurological conditions, an evaluation reports that remote physical rehabilitation may cost less and be more effective in the mildest cases [75]. For stroke, a Cochrane review found evidence of improved outcomes, although limited evidence on cost-effectiveness [76]. A more recent NICE evidence review has reported that stroke telerehabilitation delivered as an adjunct and telerehabilitation delivered alone are equally effective, but found little research on cost-effectiveness [40]. An earlier study of VR-based stroke telerehabilitation did report reduced costs (£457 less) but no difference in balance recovery [77]. Another VR study only reported equipment implementation costs and did not consider wider health care costs or outcomes [78].

Conclusions

Long-term morbidity and societal costs associated with facial palsy are estimated to be £351 million to £584 million per annual cohort, indicating significant possible savings if long-term recovery can be improved. Economic modeling confirms that the addition of telerehabilitation to fMNR could improve patient outcomes and reduce costs when compared to current in-person therapy. Because access to specialist neurophysiotherapy services is limited in the United Kingdom, the introduction of telerehabilitation could also enable increased access for currently underserved populations. Further trials with integral economic evaluations in real-world settings are now needed to establish the cost-effectiveness of digitally supported fNMR both early in recovery and in chronic cases. Such studies should meet evidence standards for digital health technologies [79]. If both clinical (HB grade) and utility (EQ-5D-5L) outcomes are included, this covers the top five outcomes identified by the Delphi panel in this study.

Any future investment in telerehabilitation to support home-based fNMR therapy will need to be driven both by specialist facial therapists and by patients. As with other health care innovations, implementation is likely to meet organizational and cultural barriers [80], often reinforced by policy priorities [81]. Although we have drawn on evidence from stroke telerehabilitation, similar economic analyses are lacking, including for facial palsy following stroke [82]. However, implementation of telerehabilitation for stroke does highlight certain challenges for policy makers, including potential exclusion of some patients, the need to address staff training, and awareness of the existence of variable practices [83]. In terms of digital exclusion, there is a need to ensure that implementation does not further exclude patients who require services [84]. Training in fNMR is essential because a shortage of trained neurophysiotherapists is leading to many general therapists delivering the service; the development of international online specialist training should help address this issue [85], together with international guidelines to reduce any variations in practice [86]. However, further training will be required for the successful introduction of a digital service since interaction online will differ from face-to-face clinical consultations [87]. For stroke, there are currently no published standards or guidelines for telehealth, and wide variations are reported in quality and monitoring practices [73]. At a time when 26 of 32 European countries are in favor of implementing home rehabilitation for stroke [88], recommendations on the organization of such a service have only recently been published [89]. Any future implementation of telerehabilitation for facial palsy should be considered in light of international developments for neurological services more widely. Although based on UK data, the findings reported here should be of interest in this international context.

Acknowledgments

The authors wish to thank the Delphi panel members who took the time to complete detailed questionnaires. We would also like to thank Facial Palsy UK (especially Karen Johnson, co–chief executive officer) and Facial Therapy Specialists International for their support and advice. Thanks are due to Philippa Bevan and Katherine Bourne (Accelerate Marketing and Marketing Research Ltd), who undertook the market survey, and Guy Smallman (Industrial Partnerships & Intellectual Property Manager, University Hospital Coventry) for advice. Finally, we are also grateful to the following staff who provided referral and activity data for the economic analysis: Suzanne Lawford (Queen Elizabeth Hospital, Birmingham), Rebecca Kimber (National Hospital for Neurology & Neurosurgery, London), Jeremy Corcoran (Guy’s & St Thomas’ NHS Trust, London), Lisa Stoner (Norfolk & Norwich University Hospital, Norwich), Sarah Kilcoyne (Oxford University Hospital, Oxford), and Julie Lovegrove (Southampton General Hospital, Southampton).

Funding

This work was funded by the National Institute for Health Research Invention for Innovation program (reference II-LA-0814-20008). The research funder had no role in the design; collection, analysis, and interpretation of data; the writing of the paper; or the decision to submit it for publication.

Data Availability

Materials used in this study are available on request from the lead author.

Authors' Contributions

AS, AJK, and H Mistry jointly developed the original concept and designed the methods in collaboration with C Neville, H Martin, NH, SWO, and C Nduka. AJK, H Mistry, and AS carried out the economic modeling, and all authors contributed to the wider economic analysis. NH, AJK, C Neville, and AS undertook the Delphi study. C Neville, H Martin, NH, SWO, and C Nduka oversaw clinical data collection. AS wrote the first draft of the article, and all authors critically revised the paper for important aspects. All authors read and approved the final manuscript.

Conflicts of Interest

The authors AS, AJK, C Neville, NH, SWO, and C Nduka declare receipt of funding from the National Institute for Health Research grant for this research, administered by their university/NHS Trust. C Nduka holds a number of patents as the chief scientific officer of a small- or medium-sized enterprise developing digital technology to support patients with facial palsy.

Multimedia Appendix 1

Delphi questionnaire and panel details.

PDF File, 368 KB

Multimedia Appendix 2

House-Brackmann Outcome Scale.

PDF File, 89 KB

Checklist 1

CHEERS 2022 checklist.

PDF File, 185 KB

  1. Goeldner M, Gehder S. Digital Health Applications (DiGAs) on a fast track: insights from a data-driven analysis of prescribable digital therapeutics in Germany from 2020 to mid-2024. J Med Internet Res. Aug 29, 2024;26:e59013. [CrossRef] [Medline]
  2. Peretti A, Amenta F, Tayebati SK, Nittari G, Mahdi SS. Telerehabilitation: review of the state-of-the-art and areas of application. JMIR Rehabil Assist Technol. Jul 21, 2017;4(2):e7. [CrossRef] [Medline]
  3. Winser S, Lee SH, Law HS, Leung HY, Bello UM, Kannan P. Economic evaluations of physiotherapy interventions for neurological disorders: a systematic review. Disabil Rehabil. Apr 2020;42(7):892-901. [CrossRef] [Medline]
  4. Grigorovich A, Xi M, Lam N, Pakosh M, Chan BCF. A systematic review of economic analyses of home-based telerehabilitation. Disabil Rehabil. Dec 2022;44(26):8188-8200. [CrossRef] [Medline]
  5. Baugh RF, Basura GJ, Ishii LE, et al. Clinical practice guideline: Bell’s palsy. Otolaryngol Head Neck Surg. Nov 2013;149(3 Suppl):S1-27. [CrossRef] [Medline]
  6. Murthy JMK, Saxena AB. Bell’s palsy: treatment guidelines. Ann Indian Acad Neurol. Jul 2011;14(Suppl 1):S70-S72. [CrossRef] [Medline]
  7. Hanner P, Andersen O, Frisén L, Rosenhall U, Edström S. Clinical observations of effects on central nervous system in patients with acute facial palsy. Arch Otolaryngol Head Neck Surg. May 1987;113(5):516-520. [CrossRef] [Medline]
  8. Peitersen E. Bell’s palsy: the spontaneous course of 2,500 peripheral facial nerve palsies of different etiologies. Acta Otolaryngol Suppl. 2002;122(549):4-30. [Medline]
  9. Khan AJ, Szczepura A, Palmer S, et al. Physical therapy for facial nerve paralysis (Bell’s palsy): an updated and extended systematic review of the evidence for facial exercise therapy. Clin Rehabil. Nov 2022;36(11):1424-1449. [CrossRef] [Medline]
  10. Zhang W, Xu L, Luo T, Wu F, Zhao B, Li X. The etiology of Bell’s palsy: a review. J Neurol. Jul 2020;267(7):1896-1905. [CrossRef] [Medline]
  11. Kim SY, Oh DJ, Park B, Choi HG. Bell’s palsy and obesity, alcohol consumption and smoking: a nested case-control study using a national health screening cohort. Sci Rep. Mar 6, 2020;10(1):4248. [CrossRef] [Medline]
  12. Adour KK, Bell DN, Hilsinger RL Jr. Herpes simplex virus in idiopathic facial paralysis (Bell palsy). JAMA. Aug 11, 1975;233(6):527-530. [Medline]
  13. Alshami S, Hodge D, Bradley E. The epidemiology and surgical outcomes of facial nerve palsy in a population-based cohort. Invest Ophthalmol Vis Sci. 2017;58(8):3848. URL: https://iovs.arvojournals.org/article.aspx?articleid=2641056 [Accessed 2025-11-25]
  14. Gupta S, Jawanda MK. Surge of Bell’s palsy in the era of COVID-19: systematic review. Eur J Neurol. Aug 2022;29(8):2526-2543. [CrossRef] [Medline]
  15. Rafati A, Pasebani Y, Jameie M, et al. Association of SARS-CoV-2 vaccination or infection with Bell palsy: a systematic review and meta-analysis. JAMA Otolaryngol Head Neck Surg. Jun 1, 2023;149(6):493-504. [CrossRef] [Medline]
  16. Hamlet C, Williamson H, Hotton M, Rumsey N. “Your face freezes and so does your life”: a qualitative exploration of adults’ psychosocial experiences of living with acquired facial palsy. Br J Health Psychol. Sep 2021;26(3):977-994. [CrossRef] [Medline]
  17. Hotton M, Huggons E, Hamlet C, et al. The psychosocial impact of facial palsy: a systematic review. Br J Health Psychol. Sep 2020;25(3):695-727. [CrossRef] [Medline]
  18. Weir A, Pentland B, Crosswaite A, Murray J, Mountain R. Bell’s palsy: the effect on self-image, mood state and social activity. Clin Rehabil. May 1995;9(2):121-125. [CrossRef]
  19. Fu L, Bundy C, Sadiq SA. Psychological distress in people with disfigurement from facial palsy. Eye (Lond). Oct 2011;25(10):1322-1326. [CrossRef] [Medline]
  20. Neely JG, Neufeld PS. Defining functional limitation, disability, and societal limitations in patients with facial paresis: initial pilot questionnaire. Am J Otol. Mar 1996;17(2):340-342. [Medline]
  21. Valente SM. Visual disfigurement and depression. Plast Surg Nurs. 2004;24(4):140-146. [CrossRef] [Medline]
  22. Salinas RA, Alvarez G, Alvarez MI, Ferreira J. Corticosteroids for Bell’s palsy (idiopathic facial paralysis). Cochrane Database Syst Rev. 2002;2010(1):CD001942. [CrossRef] [Medline]
  23. Zhang X, Feng L, Du L, Zhang A, Tang T. Literature study on clinical treatment of facial paralysis in the last 20 years using Web of Science: comparison between rehabilitation, physiotherapy and acupuncture. Neural Regen Res. Jan 15, 2012;7(2):152-159. [CrossRef] [Medline]
  24. Scenario: management of Bell’s palsy. NICE Clinical Knowledge Summaries. 2023. URL: https://cks.nice.org.uk/topics/bells-palsy/management/management [Accessed 2023-08-19]
  25. van Landingham SW, Diels J, Lucarelli MJ. Physical therapy for facial nerve palsy: applications for the physician. Curr Opin Ophthalmol. Sep 2018;29(5):469-475. [CrossRef] [Medline]
  26. Teixeira LJ, Soares BDO, Vieira VP, Prado GF. Physical therapy for Bell s palsy (idiopathic facial paralysis). Cochrane Database Syst Rev. Jul 16, 2008;2011(3):CD006283. [CrossRef] [Medline]
  27. Ferreira M, Marques EE, Duarte JA, Santos PC. Physical therapy with drug treatment in Bell palsy: a focused review. Am J Phys Med Rehabil. Apr 2015;94(4):331-340. [CrossRef] [Medline]
  28. Szczepura A, Holliday N, Neville C, et al. Raising the digital profile of facial palsy: national surveys of patients’ and clinicians’ experiences of changing UK treatment pathways and views on the future role of digital technology. J Med Internet Res. Oct 5, 2020;22(10):e20406. [CrossRef] [Medline]
  29. Giggins OM, Persson UM, Caulfield B. Biofeedback in rehabilitation. J Neuroeng Rehabil. Jun 18, 2013;10:60. [CrossRef] [Medline]
  30. Osthues M, Kuttenreich AM, Volk GF, et al. Continual rehabilitation motivation of patients with postparalytic facial nerve syndrome. Eur Arch Otorhinolaryngol. Jan 2022;279(1):481-491. [CrossRef] [Medline]
  31. Grillo D, Ossola G, Cecconi M, et al. Telerehabilitation for peripheral facial palsy: a scoping review. J Telemed Telecare. Jun 9, 2025:1357633X251342335. [CrossRef] [Medline]
  32. Edalati S, Spector B, Nathan R, Vasan V, Rosenberg J, Gray ML. Exploring extended reality as a therapy for patients with facial paralysis: a scoping review. Am J Otolaryngol. 2025;46(2):104562. [CrossRef] [Medline]
  33. Vourganas I, Stankovic V, Stankovic L, Kerr A. Factors that contribute to the use of stroke self-rehabilitation technologies: a review. JMIR Biomed Eng. 2019;4(1):e13732. [CrossRef]
  34. Bok SK, Song Y, Lim A, Jin S, Kim N, Ko G. High-tech home-based rehabilitation after stroke: a systematic review and meta-analysis. J Clin Med. Apr 3, 2023;12(7):2668. [CrossRef] [Medline]
  35. Morone G, Iosa M, Bragoni M, et al. Who may have durable benefit from robotic gait training?: a 2-year follow-up randomized controlled trial in patients with subacute stroke. Stroke. Apr 2012;43(4):1140-1142. [CrossRef] [Medline]
  36. Chung BPH, Chiang WKH, Lau H, et al. Pilot study on comparisons between the effectiveness of mobile video-guided and paper-based home exercise programs on improving exercise adherence, self-efficacy for exercise and functional outcomes of patients with stroke with 3-month follow-up: a single-blind randomized controlled trial. Hong Kong Physiother J. Jun 2020;40(1):63-73. [CrossRef] [Medline]
  37. Song AJ, Lugo L, Muccini J, Mlynash M, Lansberg MG. EngageHealth: a mobile device application designed to deliver stroke rehabilitation exercises using asynchronous video recordings. Front Stroke. 2024;3:1418298. [CrossRef]
  38. Khan A, Imam YZ, Muneer M, Al Jerdi S, Gill SK. Virtual reality in stroke recovery: a meta-review of systematic reviews. Bioelectron Med. Oct 5, 2024;10(1):23. [CrossRef] [Medline]
  39. Stroke rehabilitation in adults: 1.3 telerehabilitation. National Institute for Health and Care Excellence. Oct 18, 2023. URL: https://www.nice.org.uk/guidance/ng236/chapter/Recommendations#telerehabilitation [Accessed 2023-11-13]
  40. Evidence Reviews for the Clinical and Cost-Effectiveness of Telerehabilitation for Adults After a Stroke: Stroke Rehabilitation in Adults (Update): Evidence Review G: NICE Guideline, No 236. National Institute for Health and Care Excellence; 2023. ISBN: 978-1-4731-5456-8
  41. Stankoski S, Kiprijanovska I, Gjoreski M, et al. Controlled and real-life investigation of optical tracking sensors in smart glasses for monitoring eating behavior using deep learning: cross-sectional study. JMIR Mhealth Uhealth. Sep 26, 2024;12:e59469. [CrossRef] [Medline]
  42. Szczepura A, Khan A, Holliday N, et al. PP26 facial palsy therapy: can novel ‘Smart Spectacles’ help people smile? Int J Technol Assess Health Care. 2018;34(S1):76-76. [CrossRef]
  43. Cooper L, Branagan-Harris M, Tuson R, Nduka C. Lyme disease and Bell’s palsy: an epidemiological study of diagnosis and risk in England. Br J Gen Pract. May 2017;67(658):e329-e335. [CrossRef] [Medline]
  44. 2020/21 national cost collection data publication. NHS England. Jul 27, 2022. URL: https://www.england.nhs.uk/publication/2020-21-national-cost-collection-data-publication [Accessed 2023-02-20]
  45. Jones K, Burns A. Unit Costs of Health and Social Care 2021. University of Kent; 2021:111-141. URL: https:/​/kar.​kent.ac.uk/​92342/​25/​Unit%20Costs%20Report%202021%20-%20Final%20version%20for%20publication%20%28AMENDED2%29.​pdf [Accessed 2025-11-25]
  46. Chang YS, Choi JE, Kim SW, Baek SY, Cho YS. Prevalence and associated factors of facial palsy and lifestyle characteristics: data from the Korean National Health and Nutrition Examination Survey 2010-2012. BMJ Open. Nov 9, 2016;6(11):e012628. [CrossRef] [Medline]
  47. Claxton K, Martin S, Soares M, et al. Methods for the estimation of the National Institute for Health and Care Excellence cost-effectiveness threshold. Health Technol Assess. Feb 2015;19(14):1-503. [CrossRef] [Medline]
  48. Nishikura M. Difficulties with employment: understanding the experiences of people with visible differences. Research on Economy and Social Exclusion. Apr 2009. URL: https://www.rease.e.u-tokyo.ac.jp/read/en/archive/dp/f09/f0906.pdf [Accessed 2025-11-25]
  49. Stilz R, Baker A. Assessing disablement under the IIDB scheme – a critical review and international comparison: a research report prepared for the Industrial Injuries Advisory Council (IIAC). GOV.UK. Jun 2014. URL: https:/​/assets.​publishing.service.gov.uk/​media/​5a7e4fb540f0b6230268a886/​Assessing_Disablement_IIDB_Report-V2.​1.​pdf [Accessed 2025-11-25]
  50. Dey JK, Ishii LE, Joseph AW, et al. The cost of facial deformity: a health utility and valuation study. JAMA Facial Plast Surg. Jul 1, 2016;18(4):241-249. [CrossRef] [Medline]
  51. Hamlet C, Rumsey N, Williamson H, Johnson K, Nduka C. Consensus research priorities for facial palsy: a Delphi survey of patients, carers, clinicians and researchers. J Plast Reconstr Aesthetic Surg. Dec 2018;71(12):1777-1784. [CrossRef]
  52. Galeani S, Sassano M. Modal consensus, synchronization and formation control with distributed endogenous internal models. Automatica (Oxf). Sep 2018;95:163-171. [CrossRef]
  53. Caro JJ, Briggs AH, Siebert U, Kuntz KM, ISPOR-SMDM Modeling Good Research Practices Task Force. Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--1. Value Health. 2012;15(6):796-803. [CrossRef] [Medline]
  54. Bevan P, Bourne K, Accelerate Associates. FRAME: market assessment. Accelerate Marketing and Marketing Research Ltd UK; Jul 2018:78.
  55. Eddy DM, Hollingworth W, Caro JJ, et al. Model transparency and validation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--7. Value Health. 2012;15(6):843-850. [CrossRef] [Medline]
  56. Husereau D, Drummond M, Augustovski F, et al. Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) statement: updated reporting guidance for health economic evaluations. Int J Technol Assess Health Care. Jan 11, 2022;38(1):e13. [CrossRef] [Medline]
  57. Bells palsy. NICE Clinical Knowledge Summaries. URL: https://cks.nice.org.uk/bells-palsy#!scenario [Accessed 2025-10-23]
  58. Oseltamivir. NICE British National Formulary. URL: https://bnf.nice.org.uk/medicinal-forms/oseltamivir.html [Accessed 2025-10-23]
  59. 2019/20 national cost collection data publication. NHS England. Jun 22, 2021. URL: https://www.england.nhs.uk/publication/2019-20-national-cost-collection-data-publication [Accessed 2025-11-25]
  60. Curtis L, Burns A. Unit Costs of Health and Social Care 2016. University of Kent; 2016:45. URL: https://kar.kent.ac.uk/60243/1/full%20%282%29.pdf [Accessed 2025-11-25]
  61. Morales DR, Donnan PT, Daly F, Staa TV, Sullivan FM. Impact of clinical trial findings on Bell’s palsy management in general practice in the UK 2001-2012: interrupted time series regression analysis. BMJ Open. 2013;3(7):e003121. [CrossRef] [Medline]
  62. Peitersen E. Natural history of Bell’s palsy. Acta Otolaryngol Suppl. 1992;492:122-124. [CrossRef] [Medline]
  63. Kilshaw AD, Holmes WJM, Matteucci P. Funding in facial palsy. J Plast Reconstr Aesthet Surg. Nov 2016;69(11):1526-1527. [CrossRef] [Medline]
  64. Weatherly H, Drummond M, Claxton K, et al. Methods for assessing the cost-effectiveness of public health interventions: key challenges and recommendations. Health Policy. Dec 2009;93(2-3):85-92. [CrossRef] [Medline]
  65. Figueiredo R, Falcão V, Pinto MJ, Ramalho C. Peripheral facial paralysis as presenting symptom of COVID-19 in a pregnant woman. BMJ Case Rep. Aug 11, 2020;13(8):e237146. [CrossRef] [Medline]
  66. Codeluppi L, Venturelli F, Rossi J, et al. Facial palsy during the COVID-19 pandemic. Brain Behav. Jan 2021;11(1):e01939. [CrossRef] [Medline]
  67. Woo EJ, Mba-Jonas A, Dimova RB, Alimchandani M, Zinderman CE, Nair N. Association of receipt of the Ad26.COV2.S COVID-19 vaccine with presumptive Guillain-Barré syndrome, February-July 2021. JAMA. Oct 26, 2021;326(16):1606-1613. [CrossRef] [Medline]
  68. Li X, Raventós B, Roel E, et al. Association between COVID-19 vaccination, SARS-CoV-2 infection, and risk of immune mediated neurological events: population based cohort and self-controlled case series analysis. BMJ. Mar 16, 2022;376:e068373. [CrossRef] [Medline]
  69. Liu SW, Wright DT, Abramczyk E, et al. Management, referral patterns, and outcomes in Bell’s palsy: a single-institution 903 patient series. Otolaryngol Head Neck Surg. Oct 2023;169(4):858-864. [CrossRef] [Medline]
  70. Wan K. I’ve tested a lot of tech in the past 6 months - the Meta Ray-Bans were the biggest surprise. ZDNET. Mar 29, 2024. URL: https://www.zdnet.com/article/meta-ray-ban-smart-glasses-review [Accessed 2025-10-23]
  71. Ortiz S. Apple Vision Pro FAQ: price, features, hands-on insights, and everything you need to know. ZDNET. Jul 30, 2024. URL: https:/​/www.​zdnet.com/​article/​apple-vision-pro-faq-price-features-hands-on-insights-and-everything-you-need-to-know [Accessed 2025-10-23]
  72. Berniak-Woźny J, Rataj M. Towards green and sustainable healthcare: a literature review and research agenda for green leadership in the healthcare sector. Int J Environ Res Public Health. Jan 4, 2023;20(2):908. [CrossRef] [Medline]
  73. Tunkl C, Agarwal A, Ramage E, et al. Telemedicine networks for acute stroke: an analysis of global coverage, gaps, and opportunities. Int J Stroke. Mar 2025;20(3):297-309. [CrossRef] [Medline]
  74. Tan JR, Coulson S, Keep M. Face-to-face versus video assessment of facial paralysis: implications for telemedicine. J Med Internet Res. Apr 12, 2019;21(4):e11109. [CrossRef] [Medline]
  75. Duruflé A, Le Meur C, Piette P, Fraudet B, Leblong E, Gallien P. Cost effectiveness of a telerehabilitation intervention vs home based care for adults with severe neurologic disability: a randomized clinical trial. Digit Health. 2023;9:20552076231191001. [CrossRef] [Medline]
  76. Laver KE, Adey-Wakeling Z, Crotty M, Lannin NA, George S, Sherrington C. Telerehabilitation services for stroke. Cochrane Database Syst Rev. Jan 31, 2020;1(1):CD010255. [CrossRef] [Medline]
  77. Lloréns R, Noé E, Colomer C, Alcañiz M. Effectiveness, usability, and cost-benefit of a virtual reality-based telerehabilitation program for balance recovery after stroke: a randomized controlled trial. Arch Phys Med Rehabil. Mar 2015;96(3):418-425. [CrossRef] [Medline]
  78. Veras M, Stewart J, Deonandan R, et al. Cost analysis of a home-based virtual reality rehabilitation to improve upper limb function in stroke survivors. Global J Health Sci. 2020;12(2):98. [CrossRef]
  79. Evidence standards framework for digital health technologies. National Institute for Health and Care Excellence. Mar 2019. URL: https:/​/www.​nice.org.uk/​Media/​Default/​About/​what-we-do/​our-programmes/​evidence-standards-framework/​digital-evidence-standards-framework.​pdf [Accessed 2025-10-23]
  80. Asthana S, Jones R, Sheaff R. Why does the NHS struggle to adopt eHealth innovations? A review of macro, meso and micro factors. BMC Health Serv Res. Dec 21, 2019;19(1):984. [CrossRef] [Medline]
  81. Desveaux L, Soobiah C, Bhatia RS, Shaw J. Identifying and overcoming policy-level barriers to the implementation of digital health innovation: qualitative study. J Med Internet Res. Dec 20, 2019;21(12):e14994. [CrossRef] [Medline]
  82. Vaughan A, Gardner D, Miles A, Copley A, Wenke R, Coulson S. A systematic review of physical rehabilitation of facial palsy. Front Neurol. 2020;11:222. [CrossRef] [Medline]
  83. Laver K, Walker M, Ward N. Telerehabilitation for stroke is here to stay. But at what cost? Neurorehabil Neural Repair. Jun 2022;36(6):331-334. [CrossRef] [Medline]
  84. Fox R, Saeed Z, Khan S, et al. Lessons learnt for digital inclusion in underserved communities from implementing a COVID virtual ward. PLOS Digit Health. Nov 2022;1(11):e0000146. [CrossRef] [Medline]
  85. FTSI Foundation Course: a multidisciplinary approach to the management of facial palsy. Facial Therapy Specialists International. 2025. URL: https://facialtherapyspecialists.com/ftsi-foundation-course [Accessed 2025-10-23]
  86. Guidelines for treatment: facial rehabilitation. Facial Therapy Specialists International. 2024. URL: https://facialtherapyspecialists.com/guidelines-for-treatment [Accessed 2025-10-23]
  87. Topol E. Preparing the healthcare workforce to deliver the digital future: interim report: June 2018 - a call for evidence. NHS England. 2019. URL: https://www.hee.nhs.uk/sites/default/files/documents/Topol%20Review%20interim%20report_0.pdf [Accessed 2025-11-25]
  88. Candio P, Violato M, Luengo-Fernandez R, Leal J. Cost-effectiveness of home-based stroke rehabilitation across Europe: a modelling study. Health Policy. Mar 2022;126(3):183-189. [CrossRef] [Medline]
  89. Wiestler H, Zickler P, Erdur H, et al. Recommendations for the organization of the teleconsultation service in a telestroke network. Neurol Res Pract. Apr 25, 2024;6(1):24. [CrossRef] [Medline]

Edited by Naomi Cahill; submitted 22.Oct.2024; peer-reviewed by Omotayo Omoyemi, Somayeh Heydari; final revised version received 27.Jan.2025; accepted 25.Mar.2025; published 27.Nov.2025.

Copyright

© Amir J Khan, Hema Mistry, Catriona Neville, Helen Martin, Nikki Holliday, Samuel W Oxford, Charles Nduka, Ala Szczepura. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 27.Nov.2025.

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 the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.