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Founded Year



Series A | Alive

Total Raised


Last Raised

$5M | 5 yrs ago

About JourneyApps

Provider of an online platform for creation of app-driven business processes. The company provides a platform for clients to digitize business processes. The platform enables business stakeholders to digitally transform their operations.

JourneyApps Headquarters Location

1614 15th Street Suite 300

Denver, Colorado, 80202,

United States


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Latest JourneyApps News

A Clinical Journey Mobile Health App for Perioperative Patients: Cross-sectional Study

Feb 8, 2021

A Clinical Journey Mobile Health App for Perioperative Patients: Cross-sectional Study A Clinical Journey Mobile Health App for Perioperative Patients: Cross-sectional Study Authors of this article: 2Menzies Health Institute Queensland, Griffith University, Brisbane & Gold Coast, Australia 3Department of Orthopaedics and Research, Kliniek ViaSana, Mill, Netherlands 4Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium Corresponding Author: Department of Human Movement Sciences Faculty of Behavioural and Movement Sciences Vrije Universiteit Amsterdam Abstract Background: Mobile eHealth apps are important tools in personal health care management. The Patient Journey app was developed to inform patients with musculoskeletal disorders during their perioperative period. The app contains timely information, video exercises, and functional tasks. Although the Patient Journey app and other health apps are widely used, little research is available on how patients appreciate these apps. Objective: The primary aim of this study was to evaluate the user-friendliness of the Patient Journey app in terms of its usability and the attitudes of users toward the app. The secondary aim was to evaluate positive and negative user experiences. Methods: A web-based questionnaire was sent to 2114 patients scheduled for surgery for a musculoskeletal disorder. Primary outcomes were usability (measured with the System Usability Scale) and user attitudes regarding the Patient Journey app (assessed with the second part of the eHealth Impact Questionnaire). The secondary outcomes were evaluated with multiple choice questions and open-ended questions, which were analyzed via inductive thematic content analyses. Results: Of the 940 patients who responded, 526 used the Patient Journey app. The usability of the app was high (System Usability Scale: median 85.0, IQR 72.5-92.5), and users had a positive attitude toward the Information and Presentation provided via the app (eHealth Impact Questionnaire: median 78.0, IQR 68.8-84.4). The app did not adequately improve the users’ confidence in discussing health with others (eHealth Impact Questionnaire: median 63.9, IQR 50.0-75.0) or motivation to manage health (eHealth Impact Questionnaire: median 61.1, IQR 55.6-72.2). Three core themes emerged regarding positive and negative user experiences: (1) content and information, (2) expectations and experiences, and (3) technical performance. Users experienced timely information and instructions positively and found that the app prepared and guided them optimally through the perioperative period. Negative user experiences were overly optimistic information, scarcely presented information about pain (medication), lack of reference data, insufficient information regarding clinical course deviations and complications, and lack of interaction with clinicians. Conclusions: The Patient Journey app is a usable, informative, and presentable tool to inform patients with musculoskeletal disorders during their perioperative period. The qualitative analyses identified aspects that can further improve the user experiences of the app. JMIR Hum Factors 2021;8(1):e20694 Principal Results We aimed to evaluate user-friendliness in terms of usability and attitudes of users toward the Patient Journey app. The secondary aim was to evaluate positive and negative user experiences. Indicated as the main findings, the usability of the Patient Journey app scores excellent and users have positive attitudes toward the Information and Presentation provided via the app. However, the app did not adequately improve confidence in discussing health with others and motivation to manage health. These outcomes differed between the various health care paths with lower scores in the anterior cruciate ligament reconstruction path and knee arthroscopy path. Most users would recommend the app to other patients and found the app supportive in addition to the information given by health professionals The results of the thematic analyses provided insight into potential reasons why the Confidence and Identification and Understanding and Motivation subscale scores were below the recommended value [ 20 , 21 ]. Lack of personalized information, protocols based on the average patient, no interaction with clinicians, and missing reference data of peers were potential reported explanations. Previous research showed that the usage of interactive systems, videoconferencing sessions, and phone counselling favors in improving physical function, disability, and pain in comparison to conventional methods of information delivery following total knee and hip replacement [ 23 ]. Adding advanced telerehabilitation functions, such as including personal logs with appointments and a more personalized prognosis, or chat interactions with a physician or physiotherapist could probably increase a positive attitude of users toward the app. Moreover, overly optimistic information, the scarcity of information about pain medication use, and how to act in case of a complication or deviation of the described clinical course could have led to the lower scores on the Confidence and Identification and Understanding and Motivation scales. Recent studies have shown that mHealth apps are promising tools in the guidance of pain control and opiate use and are effective in reducing pain medication intake [ 24 , 25 ]. It is therefore assumed that implementing pain measurements and content how to reduce pain medication into the app could reinforce a positive attitude of users toward the app. An interesting finding is that participants who underwent an anterior cruciate ligament reconstruction and knee arthroscopy scored more negative on the Confidence and Identification and the Understanding and Motivation scale compared to other specific health care paths. Additional posthoc analyses revealed that participants in these groups were significantly younger than the other participants. Previous research also showed that middle-aged and older users pay more attention to their health issues and are more motivated to take action by using mHealth to avoid illness and stay healthy [ 26 ]. Therefore, we assume that younger patients are more confident in their capabilities, less motivated to manage their health, and less focused on specific health management. Furthermore, following an intensive guided rehabilitation program after anterior cruciate ligament reconstruction could lead to higher levels of motivation and a better understanding of their condition. This may reduce the need for an app. Comparison With Prior Work Although the Patient Journey app is widely used and implemented, no previous study has assessed its user-friendliness. Other research described the user-friendliness of various types of mHealth interventions having dissimilar purposes in different health care settings [ 27 - 32 ]. These studies [ 27 - 32 ] also demonstrated that mHealth apps are highly feasible and acceptable to users. No previous studies assessed the user-friendliness of mHealth tools for the perioperative period for musculoskeletal surgery. A recent systematic review [ 10 ] evaluated patients’ experiences on the use of perioperative mHealth apps; these authors found that mHealth can serve as an important tool for patient engagement in education about their condition and procedure. Moreover, mHealth apps can reduce inconsistencies between information given by health care providers [ 10 ]. Although the information provided and instructions were one of the strengths of the Patient Journey App, our qualitative analysis showed that the information provided was not always in line with that provided by the medical specialist. Comparable with our findings, reported weaknesses for perioperative mHealth use were patients’ lack of confidence, lack of personalized information, and often overly optimistic information which could lead to an overestimation of the patients’ course [ 10 ]. The timely information as provided by the Patient Journey app helps people to comprehend information and has positive effects on the patients’ levels of knowledge, satisfaction, clinical outcomes, and health care economics [ 9 ]. A general strength and important motivator for mHealth users is the accessibility of specific information that could increase knowledge about their condition [ 31 , 33 ]. Nevertheless, an important concern regarding trustworthiness is that this information is not always up-to-date and valid [ 31 ]. Other important factors in line with those in previous research are the lack of personalization, peer support, and integration of functionalities that enhance the interaction with clinicians [ 30 , 31 ]. To increase the relevance of app use, it is preferable that mHealth apps include diverse functions that enable patients to personalize and tailor them to meet their needs [ 31 , 32 ]. Furthermore, peer support can enhance patient socialization by providing social support, and facilitating 2-way communication with clinicians could increase patient engagement and therefore seems to be a great promise of mHealth [ 31 , 34 ]. In contrast to our findings, mHealth apps for patients with chronic diseases can increase feelings of managing health-related behavior by making users feel more reassured and empowered [ 27 , 31 ]. Most of our participants, however, did not feel more confident in managing their health by using the Patient Journey App. Potential differences could be explained by the type of participants (people with chronic diseases versus people with musculoskeletal disorders scheduled for surgery) and engagement in self-management (people who undergo musculoskeletal surgery may have less need to be engaged in self-management, especially during the stay in the hospital compared to patients with chronic health issues) [ 27 , 31 ]. Patients who are highly engaged in self-management experience the use of mHealth apps as more beneficial than others [ 31 ]. Limitations This study has several limitations. First, the number of participants in the different health care paths varied, and this could have led to imprecise results in health care paths with small sample sizes. Second, we used inductive thematic content analyses based on open-ended questions for the secondary outcomes. Semistructured interviews could have helped to define areas that could be further explored and would have given more detailed information about some themes [ 35 ]. The representativeness of the study might be biased as participants who used the app were statistically significantly younger (P<.001), higher educated (P=.01), and had more paid jobs (P<.001) compared to those who did not use the app. Moreover, most of our participants belonged to the middle-age group. It is unclear whether the results would have been different in younger or older age groups as different age groups may have different experiences of app usability and different expectations for how apps should function [ 26 ]. Despite these limitations, we believe that this study does provide novel insights into the user-friendliness of the mHealth app in the perioperative musculoskeletal period and that the results are of clinical importance for app users, clinicians, mHealth app developers, and researchers. Conclusion The Patient Journey app is a usable, highly informative, and presentable tool to inform patients with a musculoskeletal disorder during their perioperative period. For participants in most health care paths, using the app did not improve their confidence in discussing their health or reassurance in managing their health. However, the development of utilities that can offer reference data from peers, interaction with clinicians, and more insight into pain could further increase the user-friendliness of the app. Acknowledgments The authors would like to thank Mike Gabriël of Kliniek ViaSana, for designing the survey, and all patients who participated in the study. Conflicts of Interest Brooke J. SUS: a 'quick and dirty' usability scale. In: Usability Evaluation In Industry. London: CRC Press; 1996. Lewis JS. The factor structure of the system usability scale. In: Kurosu M, editor. Human Centered Design. Berlin, Germany: Springer; May 27, 2009. Dicianno BE, Parmanto B, Fairman AD, Crytzer TM, Yu DX, Pramana G, et al. Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation. Phys Ther 2015 Mar;95(3):397-405 [ FREE Full text ] [ CrossRef ] [ Medline ] Daemen E, Flinsenberg I, Van LE, Cuppen R, Rajae-Joordens R. The effect of experience on system usability scale ratings. J Usability Stud 2012;7(Issue 2):56-67. Sauro J. A Practical Guide to the System Usability Scale: Background, Benchmarks & Best Practices. Scotts Valley, California: Createspace Independent Publishing Platform; Apr 20, 2011. Kelly L, Ziebland S, Jenkinson C. Measuring the effects of online health information: Scale validation for the e-Health Impact Questionnaire. Patient Educ Couns 2015 Nov;98(11):1418-1424 [ FREE Full text ] [ CrossRef ] [ Medline ] Neijenhuijs KI, van der Hout A, Veldhuijzen E, Scholten-Peeters GGM, van Uden-Kraan CF, Cuijpers P, et al. Translation of the eHealth Impact Questionnaire for a population of Dutch electronic health users: validation study. J Med Internet Res 2019 Aug 26;21(8):e13408 [ FREE Full text ] [ CrossRef ] [ Medline ] Talboom-Kamp E, Tossaint-Schoenmakers R, Goedhart A, Versluis A, Kasteleyn M. Patients' attitudes toward an online patient portal for communicating laboratory test results: real-world study using the eHealth Impact Questionnaire. JMIR Form Res 2020 Mar 04;4(3):e17060 [ FREE Full text ] [ CrossRef ] [ Medline ] Green J, Thorogood N. Qualitative Methods for Health Research. London: Sage Publications; 2004. Pastora-Bernal JM, Martín-Valero R, Barón-López FJ, Estebanez-Pérez MJ. Evidence of benefit of telerehabitation after orthopedic surgery: a systematic review. J Med Internet Res 2017 Apr 28;19(4):e142 [ FREE Full text ] [ CrossRef ] [ Medline ] Pronk Y, Peters MCWM, Sheombar A, Brinkman J. Effectiveness of a mobile ehealth app in guiding patients in pain control and opiate use after total knee replacement: randomized controlled trial. JMIR Mhealth Uhealth 2020 Mar 13;8(3):e16415 [ FREE Full text ] [ CrossRef ] [ Medline ] Thurnheer SE, Gravestock I, Pichierri G, Steurer J, Burgstaller JM. Benefits of mobile apps in pain management: systematic review. JMIR Mhealth Uhealth 2018 Oct 22;6(10):e11231 [ FREE Full text ] [ CrossRef ] [ Medline ] Zhao Y, Ni Q, Zhou R. What factors influence the mobile health service adoption? a meta-analysis and the moderating role of age. International Journal of Information Management 2018 Dec;43:342-350. [ CrossRef ] Seto E, Morita P, Tomkun J, Lee TM, Ross H, Reid-Haughian C, et al. Implementation of a heart failure telemonitoring system in home care nursing: feasibility study. JMIR Med Inform 2019 Jul 26;7(3):e11722 [ FREE Full text ] [ CrossRef ] [ Medline ] Fuller-Tyszkiewicz M, Richardson B, Klein B, Skouteris H, Christensen H, Austin D, et al. A mobile app-based intervention for depression: end-user and expert usability testing study. JMIR Ment Health 2018 Aug 23;5(3):e54 [ FREE Full text ] [ CrossRef ] [ Medline ] Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, et al. Mobile phone applications and their use in the self-management of type 2 diabetes mellitus: a qualitative study among app users and non-app users. Diabetol Metab Syndr 2019;11:84 [ FREE Full text ] [ CrossRef ] [ Medline ] Juarascio A, Goldstein S, Manasse S, Forman E, Butryn M. Perceptions of the feasibility and acceptability of a smartphone application for the treatment of binge eating disorders: qualitative feedback from a user population and clinicians. Int J Med Inform 2015 Oct;84(10):808-816 [ FREE Full text ] [ CrossRef ] [ Medline ] Vo V, Auroy L, Sarradon-Eck A. Patients' perceptions of mhealth apps: meta-ethnographic review of qualitative studies. JMIR mHealth uHealth 2019 Jul 10;7(7):e13817 [ FREE Full text ] [ CrossRef ] [ Medline ] Bauer A, Iles-Shih M, Ghomi R, Rue T, Grover T, Kincler N, et al. Acceptability of mhealth augmentation of collaborative care: a mixed methods pilot study. Gen Hosp Psychiatry 2018;51:22-29 [ FREE Full text ] [ CrossRef ] [ Medline ] Peng W, Kanthawala S, Yuan S, Hussain S. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016 Nov 14;16(1):1158 [ FREE Full text ] [ CrossRef ] [ Medline ] Martinez P. A qualitative study on patient perceptions towards mHealth technology among high risk, chronic disease patients. Harvard Medical School. 2015. URL: [accessed 2021-01-14] Gill P, Stewart K, Treasure E, Chadwick B. Methods of data collection in qualitative research: interviews and focus groups. Br Dent J 2008 Mar 22;204(6):291-295. [ CrossRef ] [ Medline ] ‎

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  • When was JourneyApps founded?

    JourneyApps was founded in 2009.

  • Where is JourneyApps's headquarters?

    JourneyApps's headquarters is located at 1614 15th Street, Denver.

  • What is JourneyApps's latest funding round?

    JourneyApps's latest funding round is Series A.

  • How much did JourneyApps raise?

    JourneyApps raised a total of $7.48M.

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