A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment

BackgroundFatigue is one of the most common symptoms treated in primary care and can lead to deficits in mental health and functioning. Light therapy can be an effective treatment for symptoms of fatigue; however, the feasibility, scalability, and individual-level heterogenei...

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Main Authors: Mark Butler, Stefani D’Angelo, Heejoon Ahn, Thevaa Chandereng, Danielle Miller, Alexandra Perrin, Anne-Marie N Romain, Ava Scatoni, Ciaran P Friel, Ying-Kuen Cheung, Karina W Davidson
Format: Article
Language:English
Published: JMIR Publications 2023-09-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2023/1/e45510
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author Mark Butler
Stefani D’Angelo
Heejoon Ahn
Thevaa Chandereng
Danielle Miller
Alexandra Perrin
Anne-Marie N Romain
Ava Scatoni
Ciaran P Friel
Ying-Kuen Cheung
Karina W Davidson
author_facet Mark Butler
Stefani D’Angelo
Heejoon Ahn
Thevaa Chandereng
Danielle Miller
Alexandra Perrin
Anne-Marie N Romain
Ava Scatoni
Ciaran P Friel
Ying-Kuen Cheung
Karina W Davidson
author_sort Mark Butler
collection DOAJ
description BackgroundFatigue is one of the most common symptoms treated in primary care and can lead to deficits in mental health and functioning. Light therapy can be an effective treatment for symptoms of fatigue; however, the feasibility, scalability, and individual-level heterogeneity of light therapy for fatigue are unknown. ObjectiveThis study aimed to evaluate the feasibility, acceptability, and effectiveness of a series of personalized (N-of-1) interventions for the virtual delivery of bright light (BL) therapy and dim light (DL) therapy versus usual care (UC) treatment for fatigue in 60 participants. MethodsParticipants completed satisfaction surveys comprising the System Usability Scale (SUS) and items assessing satisfaction with the components of the personalized trial. Symptoms of fatigue were measured using the Patient-Reported Outcomes Measurement Information System (PROMIS) daily, PROMIS weekly, and ecological momentary assessment (EMA) questionnaires delivered 3 times daily. Comparisons of fatigue between the BL, DL, and UC treatment periods were conducted using generalized linear mixed model analyses between participants and generalized least squares analyses within individual participants. ResultsParticipants rated the usability of the personalized trial as acceptable (average SUS score=78.9, SD 15.6), and 92% (49/53) of those who completed satisfaction surveys stated that they would recommend the trial to others. The levels of fatigue symptoms measured using the PROMIS daily fatigue measure were lower or improved in the BL (B=−1.63, 95% CI −2.63 to −0.63) and DL (B=−1.44, 95% CI −2.50 to −0.38) periods relative to UC. The treatment effects of BL and DL on the PROMIS daily measure varied among participants. Similar findings were demonstrated for the PROMIS weekly and EMA measures of fatigue symptoms. ConclusionsThe participant scores on the SUS and satisfaction surveys suggest that personalized N-of-1 trials of light therapy for fatigue symptoms are both feasible and acceptable. Both interventions produced significant (P<.05) reductions in participant-reported PROMIS and EMA fatigue symptoms relative to UC. However, the heterogeneity of these treatment effects across participants indicated that the effect of light therapy was not uniform. This heterogeneity along with high ratings of usability and satisfaction support the use of personalized N-of-1 research designs in evaluating the effect of light therapy on fatigue for each patient. Furthermore, the results of this trial provide additional support for the use of a series of personalized N-of-1 research trials. Trial RegistrationClinicalTrials.gov NCT04707846; https://clinicaltrials.gov/ct2/show/NCT04707846
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spelling doaj.art-686b56c527b04b20b2f300b02bf7089e2023-09-18T13:16:29ZengJMIR PublicationsJMIR Formative Research2561-326X2023-09-017e4551010.2196/45510A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 TreatmentMark Butlerhttps://orcid.org/0000-0003-4359-2897Stefani D’Angelohttps://orcid.org/0000-0002-3590-8284Heejoon Ahnhttps://orcid.org/0000-0003-4938-4909Thevaa Chanderenghttps://orcid.org/0000-0003-4078-9176Danielle Millerhttps://orcid.org/0000-0002-0102-1263Alexandra Perrinhttps://orcid.org/0000-0002-9099-2482Anne-Marie N Romainhttps://orcid.org/0000-0003-1798-1792Ava Scatonihttps://orcid.org/0009-0007-9283-1256Ciaran P Frielhttps://orcid.org/0000-0001-9882-2851Ying-Kuen Cheunghttps://orcid.org/0000-0001-8530-035XKarina W Davidsonhttps://orcid.org/0000-0002-9162-477X BackgroundFatigue is one of the most common symptoms treated in primary care and can lead to deficits in mental health and functioning. Light therapy can be an effective treatment for symptoms of fatigue; however, the feasibility, scalability, and individual-level heterogeneity of light therapy for fatigue are unknown. ObjectiveThis study aimed to evaluate the feasibility, acceptability, and effectiveness of a series of personalized (N-of-1) interventions for the virtual delivery of bright light (BL) therapy and dim light (DL) therapy versus usual care (UC) treatment for fatigue in 60 participants. MethodsParticipants completed satisfaction surveys comprising the System Usability Scale (SUS) and items assessing satisfaction with the components of the personalized trial. Symptoms of fatigue were measured using the Patient-Reported Outcomes Measurement Information System (PROMIS) daily, PROMIS weekly, and ecological momentary assessment (EMA) questionnaires delivered 3 times daily. Comparisons of fatigue between the BL, DL, and UC treatment periods were conducted using generalized linear mixed model analyses between participants and generalized least squares analyses within individual participants. ResultsParticipants rated the usability of the personalized trial as acceptable (average SUS score=78.9, SD 15.6), and 92% (49/53) of those who completed satisfaction surveys stated that they would recommend the trial to others. The levels of fatigue symptoms measured using the PROMIS daily fatigue measure were lower or improved in the BL (B=−1.63, 95% CI −2.63 to −0.63) and DL (B=−1.44, 95% CI −2.50 to −0.38) periods relative to UC. The treatment effects of BL and DL on the PROMIS daily measure varied among participants. Similar findings were demonstrated for the PROMIS weekly and EMA measures of fatigue symptoms. ConclusionsThe participant scores on the SUS and satisfaction surveys suggest that personalized N-of-1 trials of light therapy for fatigue symptoms are both feasible and acceptable. Both interventions produced significant (P<.05) reductions in participant-reported PROMIS and EMA fatigue symptoms relative to UC. However, the heterogeneity of these treatment effects across participants indicated that the effect of light therapy was not uniform. This heterogeneity along with high ratings of usability and satisfaction support the use of personalized N-of-1 research designs in evaluating the effect of light therapy on fatigue for each patient. Furthermore, the results of this trial provide additional support for the use of a series of personalized N-of-1 research trials. Trial RegistrationClinicalTrials.gov NCT04707846; https://clinicaltrials.gov/ct2/show/NCT04707846https://formative.jmir.org/2023/1/e45510
spellingShingle Mark Butler
Stefani D’Angelo
Heejoon Ahn
Thevaa Chandereng
Danielle Miller
Alexandra Perrin
Anne-Marie N Romain
Ava Scatoni
Ciaran P Friel
Ying-Kuen Cheung
Karina W Davidson
A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment
JMIR Formative Research
title A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment
title_full A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment
title_fullStr A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment
title_full_unstemmed A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment
title_short A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment
title_sort series of personalized virtual light therapy interventions for fatigue feasibility randomized crossover trial for n of 1 treatment
url https://formative.jmir.org/2023/1/e45510
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