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Enregistrement W3198682222 · doi:10.1016/j.jcf.2021.08.025

TeleHealth or TeleWealth? Equity challenges for the future of cystic fibrosis care (Commentary)

2021· letter· en· W3198682222 sur OpenAlexafffundabout
Alessandro N. Franciosi, Bradley S. Quon

Notice bibliographique

RevueJournal of Cystic Fibrosis · 2021
Typeletter
Langueen
DomaineMedicine
ThématiqueCystic Fibrosis Research Advances
Établissements canadiensSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesMichael Smith Health Research BCCystic Fibrosis Foundation
Mots-clésTelehealthMedicineEthnic groupPandemicScopusHealth careEquity (law)TelemedicineCoronavirus disease 2019 (COVID-19)Family medicineMEDLINEDiseaseInternal medicinePolitical science

Résumé

récupéré en direct d'OpenAlex

The COVID-19 pandemic has resulted in an accelerated transition to telehealth-delivered care for people with CF [[1]Smith A.C. Thomas E. Snoswell C.L. Haydon H. Mehrotra A. Clemensen J. et al.Telehealth for global emergencies: implications for coronavirus disease 2019 (COVID-19).J Telemed Telecare. 2020; 26: 309-313Crossref PubMed Scopus (1051) Google Scholar], providing a welcome alternative for both patients and CF multi-disciplinary teams who were struggling to balance the risks and benefits of in-person care during an unprecedented healthcare crisis [[2]Perkins R.C. Davis J. NeSmith A. Bailey J. Powers M.R. Chaudary N. et al.Favorable clinician acceptability of telehealth as part of the cystic fibrosis care model during the COVID-19 pandemic.Ann Am Thorac Soc. 2021; Crossref PubMed Scopus (22) Google Scholar]. Telehealth (TH) will undoubtedly play a role in the future of CF care but paradigm shifts in well-established care delivery models can generate unexpected service blind spots, some of which risk perpetuating existing healthcare disparities. In this issue of the Journal, Albon et al. highlight important aspects of this very challenge, with their timely results suggesting that access to - and satisfaction with - TH may differ based on ethnicity and socio-economic status. Here, two areas of concern stand out: 1) the finding that people from minority racial or ethnic groups were significantly less likely to report having had a TH visit and 2) the same group reported a lower perceived quality of interaction. This latter finding was also observed when the study population was categorized based on their financial concerns, with those who reported financial difficulties during the pandemic more likely to report that their concerns were not addressed during TH consultations or that they were not included in a shared decision-making process. Sadly, these results are not entirely surprising. The interactions between ethnicity, socio-economic status, and digital/health literacy are multifaceted and complex [[3]Mantwill S. Monestel-Umaña S. Schulz P.J. The relationship between health literacy and health disparities: a systematic review.PLoS ONE. 2015; 10e0145455Crossref PubMed Scopus (197) Google Scholar,[4]Rootman I. Gordon-El-Bihbety D. A vision for a health literate Canada. Canadian Public Health Association, Ottawa, ON2008Google Scholar] but the data generally demonstrate that significant disparities exist that disproportionately affect minority and lower socio-economic groups [5Samuel L.J. Gaskin D.J. Trujillo A.J. Szanton S.L. Samuel A. Slade E. Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors.BMC Public Health. 2021; 21: 1250Crossref PubMed Scopus (32) Google Scholar, 6Gaskin D.J. Thorpe Jr., R.J. McGinty E.E. Bower K. Rohde C. Young J.H. et al.Disparities in diabetes: the nexus of race, poverty, and place.Am J Public Health. 2014; 104: 2147-2155Crossref PubMed Scopus (254) Google Scholar, 7Sarkar U. Karter A.J. Liu J.Y. Adler N.E. Nguyen R. López A. et al.Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access.J Am Med Inform Assoc. 2011; 18: 318-321Crossref PubMed Scopus (326) Google Scholar]. While one can argue these challenges are not exclusive to any single specialty [[8]Xiong G. Greene N.E. HMt Lightsey Crawford A.M. Striano B.M. Simpson A.K. et al.Telemedicine use in orthopaedic surgery varies by race, ethnicity, primary language, and insurance status.Clin Orthop Relat Res. 2021; 479: 1417-1425Crossref PubMed Scopus (35) Google Scholar,[9]Chen E.M. Andoh J.E. Nwanyanwu K. Socioeconomic and demographic disparities in the utilization of telemedicine for ophthalmic care during the COVID-19 pandemic.Ophthalmology. 2021; Abstract Full Text Full Text PDF Scopus (30) Google Scholar], CF teams would do well to consider how best to tailor systems to improve outcomes for people with CF [[10]Poureslami I. Tregobov N. Shum J. McMillan A. Akhtar A. Kassay S. et al.A conceptual model of functional health literacy to improve chronic airway disease outcomes.BMC Public Health. 2021; 21 (-): 252Crossref PubMed Scopus (7) Google Scholar]. Historic, geographic, and social challenges create barriers to the delivery of TH in an equitable manner. The availability of connections speeds recommended for multi-user videoconferencing or video streaming (50/10 Mbps - download/upload megabits per second) varies along urban and rural divides. In Canada, for example, 87.4% of individuals had 50/10 Mbps access in 2019 [[11]Canadian Radio-television and Telecommunications Commission Communications Monitoring Report. https://crtcgcca/eng/publications/reports/policymonitoring/2020/indexhtm.Google Scholar] and this represented 98.6% of urban residences, 45.6% of rural dwellers and only 34.8% of households on First Nations (Indigenous people of Canada) reserve lands. These inequalities in access are exaggerated in developing economies, as seen in Africa where only 28% of urban and 6% of rural households have internet access, according to the International Telecommunications Union (ITU). Programs such as the Universal Broadband Fund in Canada, the Digital Agenda for Europe, and the ITU/UNESCO Broadband Commission for Sustainable Development are all actively working to bridge the urban/rural connectivity divide. Even if broadband and mobile connectivity is made possible across geographic divides, the combined cost of internet services can be substantial. In Canada, costs amounted to 6.3% of total household income for families in the lowest income quintile, almost five times higher proportionally than those in the highest quintile (1.3% of income) [[11]Canadian Radio-television and Telecommunications Commission Communications Monitoring Report. https://crtcgcca/eng/publications/reports/policymonitoring/2020/indexhtm.Google Scholar]. As such, financial supports and incentives must be made available for lower-income patients so that TH access is within reach for all individuals living with CF. Providing definitive solutions to infrastructural deficiencies and market forces might extend beyond the remit of healthcare practitioners, though our role in identifying the repercussions and advocating for improvements on patient's behalf is not. What is directly modifiable however is the quality of interaction patients experience when making use of our services. Here, Albon et al. provide more food for thought, describing that people with CF from minority backgrounds were more likely to “think that their questions were not answered during TH”. As the authors conclude, this perception may not be exclusive to the TH experience and may reflect shortcomings which are equally true of in-person consultations. Multiple factors may to be blame, including racial and social bias [[12]Hagiwara N. Penner L.A. Gonzalez R. Eggly S. Dovidio J.F. Gaertner S.L. et al.Racial attitudes, physician-patient talk time ratio, and adherence in racially discordant medical interactions.Soc Sci Med. 2013; 87: 123-131Crossref PubMed Scopus (107) Google Scholar], language barriers (which may have been accentuated by face-masks [[13]Smiljanic R. Keerstock S. Meemann K. Ransom S.M. Face masks and speaking style affect audio-visual word recognition and memory of native and non-native speech.J Acoust Soc Am. 2021; 149: 4013Crossref PubMed Scopus (31) Google Scholar]) and the use of styles of communication which do not take into account the varied backgrounds and health literacy which patients come from. The onus here must be on the healthcare providers to do more. The very nature of TH may present the opportunity for augmenting, not weakening, performance in this area. The integration of translators or next-of-kin companions into TH consultations is immediately feasible and could help to significantly lessen some of these barriers. Indeed, emerging technologies such as real-time automated translation software [[14]https://blog.zoom.us/zoom-to-acquire-kites-gmbh/.Google Scholar] and automated closed-captioning incorporated directly into video-conferencing platforms may in time be added to the list of options at our disposal, though ensuring fitness for purpose in healthcare settings will be essential [[15]Patil S. Davies P. Use of Google Translate in medical communication: evaluation of accuracy.Bmj. 2014; 349: g7392Crossref PubMed Scopus (101) Google Scholar]. Finally, amongst the results reported, we took particular interest in the fact that people from a racial/ethnic minority group were less likely than those that identified as ethnically white to identify concerns regarding the lack of a physical exam or lack of sputum or throat culture in the context of TH visits. This finding raises questions about the values ascribed to various components of healthcare by different patient cohorts and how these differences in perceived values are formed. Sputum microbiology monitoring is a fundamental part of longitudinal care in CF and for a specific cohort of patients to be at risk of not recognizing its importance should be a finding of concern. This difference in perception may be driven by biases in overall health literacy or the patient education process. If so, these factors should be identified and addressed. In a recent audit of sputum microbiology sampling at our institution, we found that the shift to telehealth during the pandemic was associated with a 3-fold reduction in sputum samples received at out laboratory [[16]Franciosi A.N. Wilcox P.G. Quon B.S. Cystic fibrosis respiratory microbiology monitoring during a global pandemic: lessons learned from a shift to telehealth.Ann Am Thorac Soc. 2021; Crossref PubMed Scopus (7) Google Scholar], suggesting that maintaining standards in certain areas following a shift to remote healthcare provision will be a challenge. Though our analysis did not assess patient factors such as race, ethnicity, geography or education, the results presented by Albon et al. would suggest that these factors may play a part or indeed compound the challenges we will face as TH takes on a more established role in CF care. Indeed, efforts are already being made to identify solutions to these emerging issues [[17]Lenhart-Pendergrass P.M. Anthony M. Sariyska S. Andrews A. Scavezze H. Towler E. et al.Detection of bacterial pathogens using home oropharyngeal swab collection in children with cystic fibrosis.Pediatr Pulmonol. 2021; 56: 2043-2047Crossref PubMed Scopus (10) Google Scholar,[18]Moore J.E. Millar B.C. McCaughan J. O’Neill D. Bell J. Crossan A. et al.The virtual CF clinic: implications for sputum microbiology.J Cystic Fibros. 2020; Google Scholar] and further research in this area would be of great benefit. Though in its relative infancy, TH provides a clear opportunity to help reduce the burden of healthcare associated with CF. Crucially, the benefits incurred through TH - such as reduced interference with work schedules, decreased travel commitments and associated costs - must benefit those patients who are disproportionately disadvantaged by economic, social and geographic factors. We echo the sentiments by Albon et al. that future studies in this area are needed to identify the optimal way to integrate TH and wider digital health technologies in CF care models. Pre-empting these challenges and finding ways to mitigate the knock-on effects will be essential to the future success of telehealth and blended care models and to ensure equitable care to all people with CF. The authors report no conflict of interest. Dr Franciosi is supported by a Michael Smith Foundation for Health Research Trainee Award (#RT-2020-0493). Dr. Quon is supported by a Michael Smith Foundation for Health Research Scholar Award (#16414)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,342
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,356
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2021
Routes d'admission3
Résumé présentoui

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