scholarly journals P104 Longitudinal patient reported outcome data collected from a smartphone app can map group level trajectories of disease activity over time

Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Philip D. H Hamann ◽  
Nicola Minaur ◽  
Jon H Tobias ◽  
Emma M Clark

Abstract Background Patient-reported outcome measures are a cornerstone of the current early inflammatory arthritis audit and part of the best practice tariff. However, outcome data are collected infrequently meaning longitudinal changes in disease activity cannot be accurately examined. We report results of a twelve-month clinical pilot of a cloud-enabled commercial smartphone app to record patient self-reported disease activity outcome measures to evaluate trends of disease activity in a routine rheumatology setting. Methods Patients with a clinical diagnosis of inflammatory arthritis attending routine rheumatology clinic were offered the opportunity to use a smartphone app to record their disease activity between hospital appointments using the RAPID3. Data from the first twelve months (July 2018 - July 2019) was extracted and latent class modelling using aggregate data was undertaken to explore the trends of disease activity experienced by our patients at a group level. Standard analysis recommendations were followed. Results Over the course of twelve-months, 58 patients used the app to record their disease activity using the RAPID3. These patients had a mean age of 53 and were 76% female. 35 patients had rheumatoid arthritis, 15 patients had psoriatic arthritis and 8 had another inflammatory arthritis. The median number of RAPID3 scores completed per patient was 8 (interquartile range 14), and a total of 706 RAPID3 scores were submitted over the 12 months. Three different trajectories of disease activity were identified among our cohort of patients. The first trajectory showed a low stable plateau of disease activity for six months before further improvement (27 patients:47%) over six months. The second trajectory (23 patients; 40%) showed an initial moderate disease activity which gradually declined over six months before improving markedly in the last three months, returning to moderate disease activity. The final trajectory (8 patients; 14%) identified patients with the highest disease activity which showed a gradual but slow improvement of disease activity over twelve months. These different trajectories show the changing burden of inflammatory arthritis over time. Conclusion Regular longitudinal data collection of patient-reported outcomes via a smartphone app can be used to show distinct group level trajectories of disease activity and could be used to examine changes in outcomes of patients over time. Data such as these could be used at a departmental level to examine the burden of inflammatory arthritis experienced by patients, assist planning future service requirements, and help anticipate the timings of future appointments more accurately for patients. Disclosures P.D.H. Hamann Consultancies; Living With Ltd. Royalties; PH has provided consultancy for and has an options and limited royalty agreement with, Living With Ltd. software company for the development of the smartphone application described in this abstract. N. Minaur None. J.H. Tobias None. E.M. Clark None.

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ashley Fletcher ◽  
Marissa Lassere ◽  
Lyn March ◽  
Catherine Hill ◽  
Graeme Carroll ◽  
...  

Objectives. To describe oral complementary medicine (CM) use in people with inflammatory arthritis, associations with use, and changes in use over time. Methods. Demographic, clinical, and patient-reported outcome data from 5,630 participants with rheumatoid arthritis (RA), ankylosing spondylitis (AS), psoriatic arthritis (PsA), and juvenile idiopathic arthritis (JIA) were extracted from the Australian Rheumatology Association Database (ARAD), a national observational database. CM use at entry into ARAD was ascertained for participants recruited between 2002 and 2018. CM was categorised according to the NIH/Cochrane schema (fatty acids, herbs, or supplements). Logistic regression was used to assess associations between demographic characteristics and CM use. Change in CM use between 2006 and 2016 was investigated using a nonparametric test for trend of rate by year. Results. 2,156 (38.3%) ARAD participants were taking CM at enrolment (RA: 1,502/3,960 (37.9%), AS: 281/736 (38.2%), PsA: 334/749 (44.6%), and JIA: 39/185 (21.1%)). CM use was more prevalent in women (OR 1.3; 95% CI: 1.13-1.50), those with tertiary education (OR 1.32; 95% CI: 1.13-1.55), private health insurance (OR 1.26; (95% CI: 1.10-1.44), drinking alcohol sometimes (OR 1.22; 95% CI: 1.05-1.43), poorer function (HAQ) (OR 1.13; 95% CI: 1.02-1.24), use of NSAID (OR 1.32; 95% CI 1.17-1.50), weak (OR 1.21; 95% CI 1.05-1.41) but not strong opioids, and less prevalent in current smokers (OR 0.76; 95%: CI 0.63-0.91). CM use was not associated with pain, disease activity, or quality of life. The most common CMs were fish oils (N=1,489 users) followed by glucosamine (N=605). Both declined in use over time between 2006 and 2016 (27.5% to 21.4%, trend p=0.85 and 15.5% to 6.4%, trend p<0.01), respectively. Conclusion. Oral CM use is common among Australians with inflammatory arthritis. Its use is greater among women and those with tertiary education. Fish oil and glucosamine, the most common CMs, both declined in use over time.


RMD Open ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e000836 ◽  
Author(s):  
Niels W. Boone ◽  
Alexandre Sepriano ◽  
Paul-Hugo van der Kuy ◽  
Rob Janknegt ◽  
Ralph Peeters ◽  
...  

ObjectivesWe aimed to evaluate the effects of methotrexate (MTX) comedication added to biological disease-modifying antirheumatic drugs (bDMARD) on disease activity measures in patients with rheumatoid arthritis (RA) in routine care.MethodsPatients with RA on treatment with either bDMARDs or conventional synthetic DMARDs were included in this prospective cohort study. The effect of (time-varying) combination therapy with bDMARD and MTX compared with bDMARD monotherapy was tested in longitudinal generalised estimating equation models using as outcomes: (1) the likelihood to be in remission according to the 28-joint Disease Activity Score (DAS28) erythrocyte sedimentation rate (ESR) (<2.6) and to the Routine Assessment of Patient Index Data 3 (RAPID3) (0–30; ≤3), a patient-reported outcome measure about RA symptoms; and (2) DAS28-ESR and RAPID3 as continuous variables. All models were adjusted for potential confounders: age, gender, drugs for comorbidities (yes/no), oral steroids (yes/no) and non-steroidal anti-inflammatory drug (yes/no).ResultsIn total, 330 patients were included (mean (SD) follow-up; 10.7 (9.7) months). Compared with bDMARD monotherapy, MTX combination therapy was significantly associated with a 55% higher likelihood to be in DAS28 remission, but not RAPID3 remission, over time. Combination therapy resulted in slightly, but statistically significant, lower levels of DAS28-ESR over time (β=−0.42 (95% CI −0.67 to − 0.17)), but not RAPID3 (β=−0.58 (95% CI −0.65 to 0.49)). The effect on DAS28-ESR was entirely explained by lower swollen joint counts and was persistent after correction for confounders.ConclusionThese results give support to the policy that MTX should be continued in routine care patients with RA on biological therapy since this leads to better objective but not subjective clinical outcomes


Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Phillip G Conaghan ◽  
Karel Pavelka ◽  
Song-Chou Hsieh ◽  
Terri-Leigh Bonnington ◽  
Toby C Kent ◽  
...  

Abstract Background/Aims  Some health systems restrict use of advanced therapies for rheumatoid arthritis (RA) to patients with high disease activity (DAS28&gt;5.1). Upadacitinib (UPA), a selective JAK inhibitor, has demonstrated significant improvement in patients with moderate-to-severe RA. We aimed to explore the efficacy and safety of UPA in RA patients with moderate disease activity. Methods  This was a post-hoc, subgroup analysis from three phase 3 registrational trials evaluating once daily UPA 15mg versus placebo (PBO) in patients with moderate (DAS28(CRP)&gt;3.2, ≤5.1) and high (DAS28(CRP)&gt;5.1) disease activity. Patients had prior inadequate response to csDMARDs (SELECT-COMPARE and SELECT-NEXT integrated analysis) or bDMARDs (SELECT-BEYOND). Clinical and functional outcomes were analysed at the studies primary endpoint (Week12). Missing data were handled using non-responder imputation for binary endpoints and mixed-effect model repeat measurement for continuous variables. Results  Across all three studies mean baseline DAS28(CRP) was ∼4.5 and ∼6.2 in moderate and severe patients, respectively. At Week 12 significantly greater proportions of csDMARD-inadequate responder (IR) and bDMARD-IR patients receiving UPA 15 mg achieved ACR20, low disease activity (DAS28(CRP)≤3.2) and remission (DAS28(CRP)&lt;2.6) compared to PBO in both disease severity subgroups (Table 1). Improvement in physical function assessed by Health Assessment Questionnaire for Rheumatoid Arthritis (HAQ-DI) and pain visual analogue scale (VAS) were significantly greater with UPA 15mg vs PBO for severe csDMARDs-IR and bDMARD-IR populations and numerically greater in moderate bDMARD-IR patients. Across all IR populations higher proportions of patients with moderate disease treated with UPA 15mg achieved DAS28(CRP)≤3.2 and DAS28(CRP)&lt;2.6 compared to those with severe disease. The safety profile of UPA in moderate and severe patients was comparable and consistent with previously published data. Conclusion  UPA 15mg was effective in improving clinical, functional, and patient reported outcomes in patients with either moderate or severe RA. P127 Table 1:Baseline characteristics and efficacy endpoints at week 12 from SELECT-NEXT, -COMPARE and -BEYONDTimepointKey EndpointscsDMARD IR (SELECT COMPARE and SELECT NEXT integrated)ModerateSevereUPA 15mg (n = 209)PBO (n = 195)UPA 15mg (n = 649)PBO (n = 671)BaselineAge (yrs; Mean ± SD)53.7 ± 12.654.5 ± 12.454.9 ± 11.654.1 ± 12.3Duration since diagnosis (yrs; Mean ± SD)7.5 ± 7.47.3 ± 6.78.0 ± 7.98.2 ± 8.2DAS28(CRP) (Mean ± SD)4.6 ± 0.44.6 ± 0.46.2 ± 0.76.1 ± 0.7HAQ-DI (Mean ± SD)1.2 ± 0.61.2 ± 0.61.7 ± 0.61.7 ± 0.6Pain VAS (0-100) (Mean ± SD)52.5 ± 21.448.4 ± 21.669.8 ± 18.268.9 ± 17.9Week 12ACR20 (% response, 95% CI)63.6 (57.1, 70.2)***33.8 (27.2, 40.5)71.2 (67.7, 74.7)***37.0 (33.3, 40.6)DAS28 (CRP) ≤3.2, (% response, 95% CI)61.7 (55.1, 68.3)***28.7 (22.4, 35.1)40.7 (36.9, 44.5)***10.3 (8.0, 12.6)DAS28 (CRP) ≤2.6, (% response, 95% CI)41.4 (34.5, 47.8)***14.9 (9.9, 19.9)25.1 (21.8, 28.5)***4.6 (3.0, 6.2)ΔHAQ-DI (mean, 95% CI)-0.43 (-0.51, -0.35)***-0.23 (-0.32, -0.15)-0.67 (-0.72, -0.61)***-0.31 (-0.36, -0.25)Δ Pain VAS (0-100) (% response, 95% CI)-25.0 (-28.6, -21.4)***-7.0, (-10.6, -3.2)-32.8 (-35.1, -30.5)***-16.1 (-18.4, -13.8)TimepointKey EndpointsbDMARD IR (SELECT-BEYOND)ModerateSevereUPA 15mg (n = 39)PBO (n = 38)UPA 15mg (n = 124)PBO (n = 128)BaselineAge (yrs; Mean ± SD)56.1 ± 11.157.7 ± 13.456.4 ± 11.557.6 ± 10.9Duration since diagnosis (yrs; Mean ± SD)13.6 ± 10.014.7 ± 9.411.9 ± 9.214.6 ± 9.3DAS28(CRP) (Mean ± SD)4.7 ± 0.34.4 ± 0.56.2 ± 0.86.2 ± 0.7HAQ-DI (Mean ± SD)1.4 ± 0.71.1 ± 0.51.8 ± 0.61.7 ± 0.6Pain VAS (0-100) (Mean ± SD)58.1 ± 22.449.8 ± 22.271.3 ±74.5 ±Week 12ACR20 (% response, 95% CI)61.5 (46.3, 76.8)*36.8 (21.5, 52.2)66.1 (57.8, 74.5)***26.6 (18.9, 34.2)DAS28 (CRP) ≤3.2, (% response, 95% CI)64.1 (49.0, 79.2)**28.9 (14.5, 43.4)36.3 (27.8, 44.8)***9.4 (4.3, 14.4)DAS28 (CRP) ≤2.6, (% response, 95% CI)43.6 (28.0, 59.2)*21.1 (8.1, 34.0)24.2 (16.7, 31.7)***6.3 (2.1, 10.4)ΔHAQ-DI (mean, 95% CI)-0.24 (-0.41, -0.07)-0.12 (-0.30, 0.05)-0.47 (-0.56, -0.37)***-0.18 (-0.28, -0.08)Δ Pain VAS (0-100) (% response, 95% CI)-16.8 (-25.4, -8.1)-5.4 (-14.3, 3.4)-28.7 (-33.5, -24.0)***-12.2 (-17.0, -7.3)*p ≤ 0.05;**p ≤ 0.01;***p ≤ 0.001 for comparison of UPA versus PBO. Disclosure  P.G. Conaghan: Other; P.C. has been a consultant or speaker for AbbVie, BMS, Eli Lilly, Gilead, GSK, Janssen, Novartis, Pfizer. K. Pavelka: Other; K.P. has received honoraria for consultations and lectures from AbbVie, Roche, Pfizer, MSD, Sanofi, UCB and Amgen. S. Hsieh: None. T. Bonnington: Other; T.B. is an employee at AbbVie Limited. T.C. Kent: Other; T.C. is an employee at AbbVie Limited. C.J. Edwards: Other; C.E. has received honoraria, advisory boards, speakers bureau, research support from AbbVie, BMS, Biogen, Fresenius, Gilead Janssen, Lilly, Pfizer, MSD, Novartis, Roche, Samsung, Sanofi, UCB.


2018 ◽  
Author(s):  
Michael Lang ◽  
Martin Mayr ◽  
Stefan Ringbauer ◽  
Lukas Cepek

UNSTRUCTURED Background: Adherence constitutes a great challenge for disease management, particularly when treating chronically ill patients facing an extensive, complex and long-term therapy. Earlier studies emphasize the relevance of adherence for improving therapy benefits. Besides the positive impact of increased patient support, the use of mobile health applications has gained importance in disease management. Objective: We aimed to develop a software application providing innovative features to simplify the contact between patients and treating physicians in order to overcome adherence barriers, to implement risk management plans and to collect patient reported outcome data. Methods: A novel software application ensuring data security was developed. Various innovative modules have been implemented, enabling bidirectional communication between treating physicians and patients, supporting therapy monitoring and management and allowing the collection of large sets of anonymous patient data. Results: The PatientConcept app is freely available for download and is tested since 2016, with more than 1800 generated patient IDs and 279 patients documenting health data according to risk management plans online in 2017. The impact on adherence issues is currently tested in larger patient populations. Conclusion: This innovative app provides a feasible and cost-optimized possibility to intensify and simplify the communication between patients and their treating physicians across indications, thus promising an exceptional benefit to both. It may not only support chronically ill patients in managing their daily life and improving adherence, but can also facilitate the implementation of risk management plans through automated monitoring, thus supporting physicians in their daily routine. Furthermore, patient reported outcome data can be collected. Importantly, a secure ID-associated data management ensures patient anonymity complying with highest data safety standards.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1176.2-1176
Author(s):  
E. Eraslan ◽  
R. Bilici Salman ◽  
H. Satiş ◽  
A. Avanoglu Guler ◽  
H. Karadeniz ◽  
...  

Background:Systemic lupus erythematosus (SLE) is a chronic autoimmune disease of unknown etiology that can affect any organ of the body. SLE is associated with adverse effects on both health and non-health-related quality of life (HRQOL and non-HRQOL). Lupus PRO is a patient reported outcome measure that has been validated in many languages. It has 44 items that cover both HRQOL and non-HRQOL (1). Health literacy is defined as the degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions. Multiple studies indicate that people with limited health literacy have worse health status and higher rates of hospitalization (2).Objectives:We aimed to evaluate the relationship between the LLDAS (Lupus Low Disease Activity State) criteria and the Lupus PRO test, as well as the health literacy status of lupus patients.Methods:83 SLE patients (94% women) were included in the study. We performed Lupus PRO and the European Health Literacy Survey tests during the routine follow-up visits of lupus patients to our rheumatology outpatient clinic and admissions to rheumatology inpatient clinic. Available clinical data on medical records were obtained, physician global assessments (PGA) were recorded by the attending physician.Results:LLDAS criteria strongly and inversely correlated with the total score, as well as the mood subunit of the Lupus PRO. Similarly, it also significantly inversely correlated with the body appearence and goals subunits. Health literacy status of the patients did not correlate with their LLDAS scores, ie their disease activities.Conclusion:Our results suggest that lupus disease activity, assessed by LLDAS criteria, significantly correlates with measures of quality of life, spesicifically Lupus PRO test, but not with health literacy status. Further studies are needed to evaluate if health literacy is related with damage, hospitalization or mortality associated with lupus.References:[1]Jolly M, Pickard AS, Block JA, Kumar RB, Mikolaitis RA, Wilke CT, et al., editors. Disease-specific patient reported outcome tools for systemic lupus erythematosus. Seminars in arthritis and rheumatism; 2012: Elsevier.[2]Paasche-Orlow MK, Parker RM, Gazmararian JA, Nielsen-Bohlman LT, Rudd RR. The prevalence of limited health literacy. Journal of general internal medicine. 2005;20(2):175-84.Disclosure of Interests:None declared


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 582.1-582
Author(s):  
S. Pazmino ◽  
A. Lovik ◽  
A. Boonen ◽  
D. De Cock ◽  
V. Stouten ◽  
...  

Background:Commonly used disease activity scores in rheumatoid arthritis (RA) include one patient reported outcome (PRO) -the patient’s global health assessment (PGA). Exploratory factor analysis (EFA) was performed on data from the 2 year Care in early Rheumatoid Arthritis (CareRA) trial to explain the evolution of disease burden extracting 3 factors.1Objectives:To assess the evolution and relative responsiveness over time of clinical, laboratory and patient assessments included in composite scores, together with other PROs like pain, fatigue and functionality in patients with early RA (≤1 year) treated to target (T2T) within the CareRA trial.Methods:DMARD naïve patients with early RA (n=379) were included, randomized to remission induction with COBRA-like treatment schemes (n=332) or MTX monotherapy (n=47) and T2T.Components of disease activity scores (swollen/tender joint count (S/TJC), C-reactive protein (CRP) or erythrocyte sedimentation rate (ESR), and physician (PhGH) or patient (PGA) global health assessment), pain and fatigue (both on 0-100 scale) and HAQ were recorded at every visit.Missing data was handled with multiple imputation (n=15). Clustering was removed with multiple outputation (n=1000), then each of the 15 000 datasets was analyzed by EFA with principal component extraction and oblimin rotation. The analyses were combined after re-ordering the factors by maximizing factor congruence. The 3 extracted factors and their individual components (with their loadings) were: 1. Patient containing PGA (0.87), pain (0.86), fatigue (0.90) and HAQ (0.5) 2.Clinical with SJC (0.92), TJC (0.89) and PhGH (0.76) and 3.Laboratory with CRP(0.87) and ESR (0.78).1(Pazmino, ACR 2019 abstract, Table 3)Afterwards, variables were first normalized to a 0-1 scale, then multiplied -weighted- by the factor loadings previously obtained.1For each Patient, Clinical and Laboratory severity score, the weighted variables belonging to each score were summed together and then re-scaled to 0-1 (higher values suggest more burden).The percentage (%) improvement from baseline to week 104 and the area under the curve (AUC) across time points were calculated per factor.Differences in % improvement and AUC were compared between patients not achieving and achieving early and sustained (week 16 to 104) disease activity score remission (DAS28CRP <2.6) with ANOVA. Bonferroni correction was used for multiple testing.Results:Severity scores of Patient, Clinical and Laboratory factors improved rapidly over time (Figure 1). In patients achieving sustained remission (n=122), Patient, Clinical and Laboratory scores improved 56%, 90% and 27% respectively. In patients not achieving sustained remission (n=257) the improvement was 32%, 78% and 9% respectively (p<0.001 only for clinical improvement).Patients in CareRA who achieved sustained remission had an AUC of 15.1, 3.4 and 4.7 in Patient, Clinical and Laboratory scores respectively, compared to 32.3, 10.0, and 7.2 in participants not achieving sustained remission (p<0.001 for all comparisons).Conclusion:Patient, Clinical and Laboratory severity scores improved rapidly over time in patients achieving rapid and sustained disease control. However, overall, Patient burden seemed not to improve to the same extent as Clinical burden. Patient’s unmet needs in terms of pain, fatigue, functionality and overall well-being should thus be given more attention, even in patients in sustained remission.References:[1]Pazmino S,et al.Including Pain, Fatigue and Functionality Regularly in the Assessment of Patients with Early Rheumatoid Arthritis Separately Adds to the Evaluation of Disease Status [abstract]. ACR. 2019.Disclosure of Interests:Sofia Pazmino: None declared, Anikó Lovik: None declared, Annelies Boonen Grant/research support from: AbbVie, Consultant of: Galapagos, Lilly (all paid to the department), Diederik De Cock: None declared, Veerle Stouten: None declared, Johan Joly: None declared, Delphine Bertrand: None declared, Rene Westhovens Grant/research support from: Celltrion Inc, Galapagos, Gilead, Consultant of: Celltrion Inc, Galapagos, Gilead, Speakers bureau: Celltrion Inc, Galapagos, Gilead, Patrick Verschueren Grant/research support from: Pfizer unrestricted chair of early RA research, Speakers bureau: various companies


Author(s):  
Nyi Mekar Saptarini ◽  
Dainar Eka Pratiwi ◽  
Ellin Febrina ◽  
Marlia Singgih Wibowo ◽  
Tutus Gusdinar

ABSTRACTObjective: This study was designed to determine the correlation between Disease Activity Score (DAS 28) and the serum Cartilage Oligomeric MatrixProtein (COMP) levels in Indonesian Rheumatoid Arthritis (RA) patients. Methods: The subjects were patients who visit the rheumatology clinic at one governmental hospital in Bandung, Indonesia. DAS was determinedby the QxMD Software based on erythrocyte sedimentation rate, and serum COMP levels were determined by enzyme-linked immunosorbent assay.Statistical analysis was conducted with IBM SPSS Statistics 23. Results: DAS 28 value was 3.36 ± 0.16 which indicates the moderate disease activity. Serum COMP levels were 843.80 ± 35.79 ng/ml in RA patientsand 830.00 ± 48.92 ng/ml in normal controls. Conclusion: There is no correlation between DAS 28 and serum COMP levels in RA patients (p = 0.496 and rho = 0.129). Keywords: Autoimmune disease, Rheumatoid arthritis monitoring, Cartilage oligomeric matrix protein, Disease activity score 28


10.2196/14939 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e14939
Author(s):  
Laury Quaedackers ◽  
Jan De Wit ◽  
Sigrid Pillen ◽  
Merel Van Gilst ◽  
Nikolaos Batalas ◽  
...  

Background Narcolepsy is a chronic sleep disorder with a broad variety of symptoms. Although narcolepsy is primarily characterized by excessive daytime sleepiness and cataplexy (loss of muscle control triggered by emotions), patients may suffer from hypnagogic hallucinations, sleep paralysis, and fragmented night sleep. However, the spectrum of narcolepsy also includes symptoms not related to sleep, such as cognitive or psychiatric problems. Symptoms vary greatly among patients and day-to-day variance can be considerable. Available narcolepsy questionnaires do not cover the whole symptom spectrum and may not capture symptom variability. Therefore, there is a clinical need for tools to monitor narcolepsy symptoms over time to evaluate their burden and the effect of treatment. Objective This study aimed to describe the design, development, implementation, and evaluation of the Narcolepsy Monitor, a companion app for long-term symptom monitoring in narcolepsy patients. Methods After several iterations during which content, interaction design, data management, and security were critically evaluated, a complete version of the app was built. The Narcolepsy Monitor allows patients to report a broad spectrum of experienced symptoms and rate their severity based on the level of burden that each symptom imposes. The app emphasizes the reporting of changes in relative severity of the symptoms. A total of 7 patients with narcolepsy were recruited and asked to use the app for 30 days. Evaluation was done by using in-depth interviews and user experience questionnaire. Results We designed and developed a final version of the Narcolepsy Monitor after which user evaluation took place. Patients used the app on an average of 45.3 (SD 19.2) days. The app was opened on 35% of those days. Daytime sleepiness was the most dynamic symptom, with a mean number of changes of 5.5 (SD 3.7) per month, in contrast to feelings of anxiety or panic, which was only moved 0.3 (SD 0.7) times per month. Mean symptom scores were highest for daytime sleepiness (1.8 [SD 1.0]), followed by lack of energy (1.6 [SD 1.4]) and often awake at night (1.5 [SD 1.0]). The personal in-depth interviews revealed 3 major themes: (1) reasons to use, (2) usability, and (3) features. Overall, patients appreciated the concept of ranking symptoms on subjective burden and found the app easy to use. Conclusions The Narcolepsy Monitor appears to be a helpful tool to gain more insight into the individual burden of narcolepsy symptoms over time and may serve as a patient-reported outcome measure for this debilitating disorder.


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