App-Based Versus Standard Six-Minute Walk Test in Pulmonary Hypertension: Mixed Methods Study

Dario Salvi, Emma Poffley, Lionel Tarassenko, Elizabeth Orchard, Dario Salvi, Emma Poffley, Lionel Tarassenko, Elizabeth Orchard

Abstract

Background: Pulmonary arterial hypertension (PAH) is a chronic disease of the pulmonary vasculature that can lead to heart failure and premature death. Assessment of patients with PAH includes performing a 6-minute walk test (6MWT) in clinics. We developed a smartphone app to compute the walked distance (6MWD) indoors, by counting U-turns, and outdoors, by using satellite positioning.

Objective: The goal of the research was to assess (1) accuracy of the indoor 6MWTs in clinical settings, (2) validity and test-retest reliability of outdoor 6MWTs in the community, (3) compliance, usability, and acceptance of the app, and (4) feasibility of pulse oximetry during 6MWTs.

Methods: We tested the app on 30 PAH patients over 6 months. Patients were asked to perform 3 conventional 6MWTs in clinic while using the app in the indoor mode and one or more app-based 6MWTs in outdoor mode in the community per month.

Results: Bland-Altman analysis of 70 pairs of conventional versus app-based indoor 6MWDs suggests that the app is sometimes inaccurate (14.6 m mean difference, lower and upper limit of agreement: -133.35 m to 162.55 m). The comparison of 69 pairs of conventional 6MWDs and community-based outdoor 6MWDs within 7 days shows that community tests are strongly related to those performed in clinic (correlation 0.89), but the interpretation of the distance should consider that differences above the clinically significant threshold are not uncommon. Analysis of 89 pairs of outdoor tests performed by the same patient within 7 days shows that community-based tests are repeatable (intraclass correlation 0.91, standard error of measurement 36.97 m, mean coefficient of variation 12.45%). Questionnaires and semistructured interviews indicate that the app is usable and well accepted, but motivation to use it could be affected if the data are not used for clinical decision, which may explain low compliance in 52% of our cohort. Analysis of pulse oximetry data indicates that conventional pulse oximeters are unreliable if used during a walk.

Conclusions: App-based outdoor 6MWTs in community settings are valid, repeatable, and well accepted by patients. More studies would be needed to assess the benefits of using the app in clinical practice.

Trial registration: ClinicalTrials.gov NCT04633538; https://ichgcp.net/clinical-trials-registry/NCT04633538.

Keywords: GPS; cardiology; exercise test; mobile apps; pulmonary hypertension.

Conflict of interest statement

Conflicts of Interest: None declared.

©Dario Salvi, Emma Poffley, Lionel Tarassenko, Elizabeth Orchard. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 07.06.2021.

Figures

Figure 1
Figure 1
Architecture of the SMWT system: (a) patients’ app, (b) physiologists’ app, and (c) web interface for physicians.
Figure 2
Figure 2
Bland-Altman plot of the difference between the 6-minute walk test distance as measured by the app in indoor mode and as observed by the physiologist during a 6-minute walk test in clinic. 6MWD: 6-minute walk test distance.
Figure 3
Figure 3
Absolute difference of the 6-minute walk test distance as measured by the physiologist and as measured by the mobile phone app in indoor mode. 6MWD: 6-minute walk test distance; 6MWT: 6-minute walk test.
Figure 4
Figure 4
Bland-Altman plot of the difference between the 6-minute walk test distance as observed by the physiologist during a 6-minute walk test in clinic and as measured by the app in outdoor mode within 7 days of the clinic test. 6MWD: 6-minute walk test distance.
Figure 5
Figure 5
Outdoor, community-based 6-minute walk test distances over time of the top 5 patients who contributed with the most 6-minute walk tests. 6MWD: 6-minute walk test distance.
Figure 6
Figure 6
Histogram of the number of community-based 6-minute walk tests per patient per month. 6MWT: 6-minute walk test.
Figure 7
Figure 7
SpO2 and heart rate for a test where the SpO2 increases during exertion and the heart rate decreases. SpO2: peripheral oxygen saturation.
Figure 8
Figure 8
Bland-Altman plots of the differences between 19,356 matched samples of SpO2 and heart rate values measured simultaneously by two different pulse oximeters during 38 6-minute walk tests (6MWTs). SpO2: peripheral oxygen saturation.

References

    1. Agarwal R, Gomberg-Maitland M. Current therapeutics and practical management strategies for pulmonary arterial hypertension. Am Heart J. 2011 Aug;162(2):201–213. doi: 10.1016/j.ahj.2011.05.012.
    1. Galiè N, Brundage BH, Ghofrani HA, Oudiz RJ, Simonneau G, Safdar Z, Shapiro S, White RJ, Chan M, Beardsworth A, Frumkin L, Barst RJ, Pulmonary Arterial HypertensionResponse to Tadalafil (PHIRST) Study Group Tadalafil therapy for pulmonary arterial hypertension. Circulation. 2009 Jun 09;119(22):2894–2903. doi: 10.1161/CIRCULATIONAHA.108.839274.
    1. Peacock AJ, Murphy NF, McMurray JJV, Caballero L, Stewart S. An epidemiological study of pulmonary arterial hypertension. Eur Respir J. 2007 Jul;30(1):104–109. doi: 10.1183/09031936.00092306.
    1. Enright PL. The six-minute walk test. Respir Care. 2003 Aug;48(8):783–785.
    1. Gabler NB, French B, Strom BL, Palevsky HI, Taichman DB, Kawut SM, Halpern SD. Validation of 6-minute walk distance as a surrogate end point in pulmonary arterial hypertension trials. Circulation. 2012 Jul 17;126(3):349–356. doi: 10.1161/CIRCULATIONAHA.112.105890.
    1. Benza RL, Miller DP, Gomberg-Maitland M, Frantz RP, Foreman AJ, Coffey CS, Frost A, Barst RJ, Badesch DB, Elliott CG, Liou TG, McGoon MD. Predicting survival in pulmonary arterial hypertension. Circulation. 2010 Jul 13;122(2):164–172. doi: 10.1161/circulationaha.109.898122.
    1. Macchia A, Marchioli R, Marfisi R, Scarano M, Levantesi G, Tavazzi L, Tognoni G. A meta-analysis of trials of pulmonary hypertension: a clinical condition looking for drugs and research methodology. Am Heart J. 2007 Jun;153(6):1037–1047. doi: 10.1016/j.ahj.2007.02.037.
    1. Miyamoto S, Nagaya N, Satoh T, Kyotani S, Sakamaki F, Fujita M, Nakanishi N, Miyatake K. Clinical correlates and prognostic significance of six-minute walk test in patients with primary pulmonary hypertension. Comparison with cardiopulmonary exercise testing. Am J Respir Crit Care Med. 2000 Feb;161(2 Pt 1):487–492. doi: 10.1164/ajrccm.161.2.9906015.
    1. Barst RJ, Rubin LJ, Long WA, McGoon MD, Rich S, Badesch DB, Groves BM, Tapson VF, Bourge RC, Brundage BH, Koerner SK, Langleben D, Keller CA, Murali S, Uretsky BF, Clayton LM, Jöbsis MM, Blackburn SD, Shortino D, Crow JW, Primary Pulmonary Hypertension Study Group A comparison of continuous intravenous epoprostenol (prostacyclin) with conventional therapy for primary pulmonary hypertension. N Engl J Med. 1996 Feb 01;334(5):296–301. doi: 10.1056/NEJM199602013340504.
    1. van de Port I, Wevers L, Kwakkel G. Is outdoor use of the six-minute walk test with a global positioning system in stroke patients’ own neighbourhoods reproducible and valid? J Rehabil Med. 2011 Nov;43(11):1027–1031. doi: 10.2340/16501977-0881.
    1. Jehn M, Schmidt-Trucksäess A, Schuster T, Hanssen H, Weis M, Halle M, Koehler F. Accelerometer-based quantification of 6-minute walk test performance in patients with chronic heart failure: applicability in telemedicine. J Card Fail. 2009 May;15(4):334–340. doi: 10.1016/j.cardfail.2008.11.011.
    1. Ata R, Gandhi N, Rasmussen H, El-Gabalawy O, Gutierrez S, Ahmad A, Suresh S, Ravi R, Rothenberg K, Aalami O. Clinical validation of smartphone-based activity tracking in peripheral artery disease patients. NPJ Digit Med. 2018 Dec 11;1(1):1. doi: 10.1038/s41746-018-0073-x.
    1. Brooks GC, Vittinghoff E, Iyer S, Tandon D, Kuhar P, Madsen KA, Marcus GM, Pletcher MJ, Olgin JE. Accuracy and usability of a self-administered 6-minute walk test smartphone application. Circ Heart Fail. 2015 Sep;8(5):905–913. doi: 10.1161/CIRCHEARTFAILURE.115.002062.
    1. Salvi D, Poffley E, Orchard E, Tarassenko L. The mobile-based 6-minute walk test: usability study and algorithm development and validation. JMIR Mhealth Uhealth. 2020 Jan 03;8(1):e13756. doi: 10.2196/13756.
    1. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016 Jun;15(2):155–163. doi: 10.1016/j.jcm.2016.02.012.
    1. Denegar C, Ball D. Assessing reliability and precision of measurement: an introduction to intraclass correlation and standard error of measurement. J Sport Rehab. 1993;2(1):35–42. doi: 10.1123/jsr.2.1.35.
    1. Stoyanov SR, Hides L, Kavanagh DJ, Wilson H. Development and validation of the user version of the Mobile Application Rating Scale (uMARS) JMIR Mhealth Uhealth. 2016;4(2):e72. doi: 10.2196/mhealth.5849.
    1. Sun Y, Wang N, Peng Z. Understanding the acceptance of mobile health services: a comparison and integration of alternative models. J Electr Commerce Res. 2013;14(2):183–200.
    1. Simonneau G, Montani D, Celermajer D, Denton C, Gatzoulis M, Krowka M, Williams P, Souza R. Haemodynamic definitions and updated clinical classification of pulmonary hypertension. Eur Respir J. 2019 Jan;53(1):1. doi: 10.1183/13993003.01913-2018.
    1. Deng Z, Hong Z, Ren C, Zhang W, Xiang F. What predicts patients' adoption intention toward mHealth services in China: empirical study. JMIR Mhealth Uhealth. 2018 Aug 29;6(8):e172. doi: 10.2196/mhealth.9316.
    1. Mainguy V, Malenfant S, Neyron A, Bonnet S, Maltais F, Saey D, Provencher S. Repeatability and responsiveness of exercise tests in pulmonary arterial hypertension. Eur Respir J. 2013 Aug;42(2):425–434. doi: 10.1183/09031936.00107012.
    1. Maeder A, Poultney N, Morgan G, Lippiatt R. Patient compliance in home-based self-care telehealth projects. J Telemed Telecare. 2015 Dec;21(8):439–442. doi: 10.1177/1357633X15612382.
    1. Scalise L, Marchionni P, Carnielli V. Rejection of false saturation data in optical pulse-oximeter. Proc SPIE Int Soc Optics Photonics. 2010;7715:1. doi: 10.1117/12.854474.
    1. Naraharisetti K, Bawa M. Comparison of different signal processing methods for reducing artifacts from photoplethysmograph signal. IEEE International Conference on Electro/Information Technology; 2011; Mankato. 2011. pp. 1–8.
    1. Lee J, Jung W, Kang I, Kim Y, Lee G. Design of filter to reject motion artifact of pulse oximetry. Comput Stand Interfaces. 2004 May;26(3):241–249. doi: 10.1016/s0920-5489(03)00077-1.
    1. Randell C, Djiallis C, Muller H. Personal position measurement using dead reckoning. Seventh IEEE International Symposium on Wearable Computers. 2003:166. doi: 10.1109/iswc.2003.1241408.
    1. Barker SJ. "Motion-resistant" pulse oximetry: a comparison of new and old models. Anesth Analg. 2002 Oct;95(4):967–972. doi: 10.1097/00000539-200210000-00033.
    1. Simplified version of SMWT app. [2021-05-23]. .

Source: PubMed

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