A Smartphone App With a Digital Care Pathway for Patients Undergoing Spine Surgery: Development and Feasibility Study

Patient and Staff Insights on Digital Care Pathways for Patients With Low Back Pain in the Emergency Department: A Qualitative Study

BACKGROUND

Back pain is a huge global problem. For some people, the pain is so severe that they feel the need to present to an emergency department (ED). Our aim was to explore patient and staff perspectives for the development of a digital care pathway (DCP) for people with back pain who have presented to ED, including acceptability, barriers and facilitators.

METHODS

We used a descriptive phenomenology approach using semi-structured interviews with patient and staff participants at a tertiary hospital. Interviews were transcribed and data codes were developed using inductive thematic analysis. Themes were discussed between researchers until consensus was achieved.

RESULTS

A total of 16 interviews were carried out, half of which involved patient participants. We identified three major themes: (i) expectations and experiences of staff and patients with low back pain in ED; (ii) a digital care pathway can empower patients and support clinicians in providing care; and (iii) acceptability, barriers, facilitators and recommendations of engaging with a DCP to track the trajectory of back pain. Each theme was further categorised into subthemes.

CONCLUSION

Introducing a DCP was perceived as acceptable and beneficial by patients and staff. Both groups were aware of the potential participant burden if surveys were too long. Introducing a DCP could be a valuable adjunct to current management care models, providing a standardised source of education with the potential for individualised tracking and monitoring. The design and development of a DCP will need to consider reported facilitators and address perceived barriers for engagement.

PATIENT OR PUBLIC CONTRIBUTION

This project sought insights from patients and staff about a digital care pathway. This forms the first step of patient and consumer consultation before implementing a digital care pathway. All consumers were offered the opportunity to review their responses and our interpretation.

When chronicity meets cyclicity: The cultivation of embodied knowledge and selfhood by cis-gender women with cystic fibrosis

This article offers the case of cystic fibrosis (CF), a multi-system disease, to illustrate how individuals with chronic illness cultivate and apply embodied knowledge to optimize their well-being. We identified three interrelated processes that occur when disease chronicity and menstrual cyclicity meet: 1) knowledge production with a period-tracking app; 2) application of embodied knowledge to manage life with menstrual-related CF symptoms; 3) cultivation of the body-self as a menstruating woman with CF. These dynamic processes capture how cis-gender women with CF attune to their bodies, navigate their illness, and situate themselves within their lifeworlds. Genetic conditions like CF are apt for studying these processes because adults have managed their disease for decades, with longitudinal experience that often exceeds that of their clinicians. Our evidence elucidates the co-constitutive nature of chronic disease, gendered subjectivity, and biological processes in flux. We explored the menstrual cyclicity of chronic disease symptoms by having 72 participants track their CF symptoms across 4 menstrual cycles on a customized period-tracking app. We performed semi-structured interviews with 20 participants to understand how they interpreted these cyclical CF symptoms. We learned that digital tracking attuned participants to monthly fluctuations in CF symptoms. They applied this knowledge to manage their lives and shape their sense of self. We argue that women with CF produce distinct embodied knowledge during their reproductive years, shaping their illness experience, disease management, overall health, quality of life, and selfhood. The dynamics we describe may reflect broader patterns by which women with other chronic illnesses experience their bodies and understand themselves in the world.

Pushing the Limits of Minimally Invasive Spine Surgery-From Preoperative to Intraoperative to Postoperative Management

The introduction of minimally invasive surgery ushered in a new era of spine surgery by minimizing the undue iatrogenic injury, recovery time, and blood loss, among other complications, of traditional open procedures. Over time, technological advancements have further refined the care of the operative minimally invasive spine patient. Moreover, pre-, and postoperative care have also undergone significant change by way of artificial intelligence risk stratification, advanced imaging for surgical planning and patient selection, postoperative recovery pathways, and digital health solutions. Despite these advancements, challenges persist necessitating ongoing research and collaboration to further optimize patient care in minimally invasive spine surgery.

Building digital patient pathways for the management and treatment of multiple sclerosis

Recent advances in the field of artificial intelligence (AI) could yield new insights into the potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI opens new possibilities regarding the interpretation and use of big data from not only a cross-sectional, but also a longitudinal perspective. For each patient with MS, there is a vast amount of multimodal data being accumulated over time. But for the application of AI and related technologies, these data need to be available in a machine-readable format and need to be collected in a standardized and structured manner. Through the use of mobile electronic devices and the internet it has also become possible to provide healthcare services from remote and collect information on a patient's state of health outside of regular check-ups on site. Against this background, we argue that the concept of pathways in healthcare now could be applied to structure the collection of information across multiple devices and stakeholders in the virtual sphere, enabling us to exploit the full potential of AI technology by e.g., building digital twins. By going digital and using pathways, we can virtually link patients and their caregivers. Stakeholders then could rely on digital pathways for evidence-based guidance in the sequence of procedures and selection of therapy options based on advanced analytics supported by AI as well as for communication and education purposes. As far as we aware of, however, pathway modelling with respect to MS management and treatment has not been thoroughly investigated yet and still needs to be discussed. In this paper, we thus present our ideas for a modular-integrative framework for the development of digital patient pathways for MS treatment.

The Role of Mobile Health Technology in Perioperative Spinal Care: A Systematic Scoping Review and Narrative Synthesis

Smartphone applications play a crucial role in contemporary healthcare by aiming to enhance patient care through technology. Mobile health (mHealth) applications have proven to have transformative potential in enhancing patients' outcomes in candidates undergoing orthopedic and spinal surgery. In the context of the pervasive use of smartphones and the exponential growth of mHealth apps, totaling over 99,000 in 2021, the applications had a significant impact on lifestyle management, supporting initiatives like smoking cessation with motivational reminders and progress tracking. Patient compliance is significantly enhanced, reducing surgery cancellations and improving outcomes through effective adherence to pre-operative treatments and instructions. Physiotherapy receives a substantial boost as mHealth facilitates video-guided exercises, potentially improving compliance and treatment outcomes. Data collection takes on innovative dimensions, with mHealth apps capturing post-operative metrics like physical activity, offering valuable insights into patient recovery trends. Remote care is streamlined through features like photo uploads and direct messaging, proving especially beneficial in times of crises such as the COVID-19 pandemic. Despite these merits, challenges emerge, including issues related to technological literacy, potential discrimination due to paywalls, and concerns about patient data confidentiality. Overcoming these challenges requires standardized approaches, legislative measures, and ongoing research to refine and optimize mHealth applications for diverse healthcare settings.

Digital Health for Patients Undergoing Spine Surgery: A Systematic Review

OBJECTIVE

Digital health tools, including smartphone applications (apps), websites, and online search engines, are increasingly being utilized for health data collection and patient education. Studies have shown that these tools can help disseminate information widely and even help guide patients through acute surgical episodes. We aimed to search the literature to summarize available studies on using digital health tools for patients undergoing spine surgery.

METHODS

We conducted a systematic review of PubMed MEDLINE, Elsevier EMBASE, and Elsevier Scopus databases, as well as ClinicalTrials.gov up to March 11, 2022.

RESULTS

Forty-four full-text articles were included and qualitatively analyzed. Studies were broadly grouped into those that analyzed the quality of web-based materials for patients, the quality of YouTube videos for spine surgery, the development, feasibility, and implementation of mobile apps for patients, and randomized controlled trials for integrating mobile apps into perioperative care.

CONCLUSIONS

We presented a systematic review analyzing the current landscape of digital health for patients undergoing spine surgery. Internet patient education materials in searchable websites and YouTube videos are of poor quality, lacking in readability to the average patient and robustness of information needed for patients to make informed decisions about pursuing spine surgery. However, there lies promise in digital apps developed to guide patients through surgery and collect postoperative outcomes.

Smartphone-based activity tracking for spine patients: Current technology and future opportunities

Activity trackers and wearables allow accurate determination of physical activity, basic vital parameters, and tracking of complex medical conditions. This review attempts to provide a roadmap for the development of these applications, outlining the basic tools available, how they can be combined, and what currently exists in the marketplace for spine patients. Various types of sensors currently exist to measure distinct aspects of user movement. These include the accelerometer, gyroscope, magnetometer, barometer, global positioning system (GPS), Bluetooth and Wi-Fi, and microphone. Integration of data from these sensors allows detailed tracking of location and vectors of motion, resulting in accurate mobility assessments. These assessments can have great value for a variety of healthcare specialties, but perhaps none more so than spine surgery. Patient-reported outcomes (PROMs) are subject to bias and are difficult to track frequently - a problem that is ripe for disruption with the continued development of mobility technology. Currently, multiple mobile applications exist as an extension of clinical care. These include Manage My Surgery (MMS), SOVINITY-e-Healthcare Services, eHealth System, Beiwe Smartphone Application, QS Access, 6WT, and the TUG app. These applications utilize sensor data to assess patient activity at baseline and postoperatively. The results are evaluated in conjunction with PROMs. However, these applications have not yet exploited the full potential of available sensors. There is a need to develop smartphone applications that can accurately track the functional status and activity of spine patients, allowing a more quantitative assessment of outcomes, in contrast to legacy PROMs.

Real World Characterization of Chronic Pain, Success Rates and Implant Rates: Evidence from a Digital Health Platform of Patients Undergoing Spinal Cord Stimulation Evaluations

Spinal cord stimulation is an effective treatment for those experiencing chronic back and leg pain but requires a temporary evaluation period (SCSeval) before permanent implantation. We present real-world data from 7,000 patients who underwent SCSeval while utilizing a mobile digital health platform for education, feedback, and outcomes collection during their surgical journey. We analyzed preoperative patient demographics, characterized patient pain profiles using the patient-reported outcomes measurement information system-29 surveys, and calculated the rates of conversion from temporary to permanent spinal cord stimulation (SCS) implantation. Between August 1, 2021, and March 2, 2023, 7,000 patients (mean age 59.1, 59.6% female) underwent SCSeval procedures while utilizing a mobile application. Patients commonly experienced aching, sharp, stabbing, tingling, numb, and burning pain. Patients had tried multiple prior therapies and wanted to reduce their use of opioids and pain medications. Overall, 90.1% of the patients had a successful SCSeval, and 80.4% of those converted to permanent implant, with the highest rates among those who underwent SCSeval in a hospital setting. There was a significant improvement in all domains of pain as evaluated by pre and postoperative patient-reported outcomes measurement information system-29 surveys. This study supports the use of digital health technology as part of the SCS journey to improve the patient experience and allow for robust patient-reported outcomes collection. The overall rate of SCSeval to permanent SCS in our study of 72.4% was higher than national rates of 64%, suggesting that an app may allow clinicians to better quantify changes in chronic pain and provide more insight into choosing to implant SCS permanently. PERSPECTIVE: This article presents real-world evidence from a digital health platform for therapy education and outcomes collection from patients undergoing spinal cord stimulation evaluation procedures. Such tools could allow for better pain characterization and allow for more nuanced tracking of patient outcomes among those with chronic pain.

Digital Biomarkers and the Evolution of Spine Care Outcomes Measures: Smartphones and Wearables

Over the past generation, outcome measures in spine care have evolved from a reliance on clinician-reported assessment toward recognizing the importance of the patient's perspective and the wide incorporation of patient-reported outcomes (PROs). While patient-reported outcomes are now considered an integral component of outcomes assessments, they cannot wholly capture the state of a patient's functionality. There is a clear need for quantitative and objective patient-centered outcome measures. The pervasiveness of smartphones and wearable devices in modern society, which passively collect data related to health, has ushered in a new era of spine care outcome measurement. The patterns emerging from these data, so-called "digital biomarkers," can accurately describe characteristics of a patient's health, disease, or recovery state. Broadly, the spine care community has thus far concentrated on digital biomarkers related to mobility, although the researcher's toolkit is anticipated to expand in concert with advancements in technology. In this review of the nascent literature, we describe the evolution of spine care outcome measurements, outline how digital biomarkers can supplement current clinician-driven and patient-driven measures, appraise the present and future of the field in the modern era, as well as discuss present limitations and areas for further study, with a focus on smartphones (see Supplemental Digital Content , http://links.lww.com/NEU/D809 , for a similar appraisal of wearable devices).

Improving patient outcomes with a mobile digital health platform for patients undergoing transcatheter aortic valve replacement

PURPOSE

ManageMySurgery (MMS) is a digital health application (app) for patients undergoing surgery, including Transcatheter Aortic Valve Replacement (TAVR). Patients using MMS review procedure-specific education, view FAQs, and report patient-reported outcomes. This study assessed the impact of app use on postoperative outcomes.

METHODS

Patients who underwent TAVR and invited to use MMS between March 2019 and November 2021 were identified. Patients received standard perioperative care and were defined as App users if they signed into the app at least once and engaged with at least one task or FAQ. Demographics and postoperative outcomes were collected via medical record review. Multivariable logistic regression models were used to determine odds of 90-day readmission, Emergency Room (ER) visits, and complications.

RESULTS

388 patients met inclusion criteria, of which 238 used the app. The average age at surgery was 76.4±7.7 years for users and 78.1±7.6 for non-users. 63.0% of users and 59.3% of non-users were male. App users had significantly lower 90-day readmission rates, (8.8% vs 16.0%, OR=0.51, p=0.0373), ER visit rates (12.6% vs 27.3%, OR=0.36, p=0.0003), and complication rates (Minor: 12.2% vs 20.7%, OR=0.48, P=0.0126; Major: 8.8% vs. 16%, OR=0.47, P=0.0235).

CONCLUSIONS

In this non-randomized, retrospective study, we found significant decreases in 90-day readmissions, ER visits, and complications in TAVR patients using an app compared to traditional care. By engaging patients throughout their interventional journey with structured education and tasks, mobile health platforms may mitigate unnecessary use of emergency and inpatient care, thereby improving patient well-being and lowering the burden on healthcare resources.

Use of an Artificial Intelligence Conversational Agent (Chatbot) for Hip Arthroscopy Patients Following Surgery

Purpose

The purpose of this study was to evaluate the use of an AI conversational agent during the postoperative recovery of patients undergoing elective hip arthroscopy.

Methods

Patients undergoing hip arthroscopy were enrolled in a prospective cohort for their first 6 weeks following surgery. Patients used standard SMS text messaging to interact with an artificial intelligence (AI) chatbot ("Felix") used to initiate automated conversations regarding elements of postoperative recovery. Patient satisfaction was measured at 6 weeks after surgery using a Likert scale survey. Accuracy was determined by measuring the appropriateness of chatbot responses, topic recognition, and examples of confusion. Safety was measured by evaluating the chatbot's responses to any questions with potential medical urgency.

Results

Twenty-six patients were enrolled with a mean age of 36 years, and 58% (n = 15) were male. Overall, 80% of patients (n = 20) rated the helpfulness of Felix as good or excellent. In the postoperative period, 12/25 (48%) patients reported being worried about a complication but were reassured by Felix and, thus, did not seek medical attention. Of a total of 128 independent patient questions, Felix handled 101/128 questions appropriately (79%), either by addressing them independently, or facilitating contact with the care team. Felix was able to adequately answer the patient question independently 31% of the time (n = 40/128). Of 10 patient questions that were thought to potentially represent patient complications, in 3 cases Felix did not adequately address or recognize the health concern-none of these situations resulted in patient harm.

Conclusion

The results of this study demonstrate that the use of a chatbot or conversational agent can enhance the postoperative experience for hip arthroscopy patients, as demonstrated by high levels of patient satisfaction.

Levels of Evidence

Level IV, therapeutic case series.

Prototyping of a Digital Life Course Care Platform for Preconception and Pregnancy Care: Pilot Feasibility and Acceptability Study

BACKGROUND

A healthy lifestyle plays a key role in the prevention of lifestyle-related diseases, including subfertility and pregnancy complications. Although the benefits of a healthy lifestyle are well-known, long-term adherence is limited. Moreover, memory for lifestyle-related information as well as medical information provided by the medical professional is often poor and insufficient. In order to innovate and improve health care for both the patients and health care professionals, we developed a prototype of a digital life course care platform (Smarter Health app), providing personalized lifestyle care trajectories integrated in medical care journeys.

OBJECTIVE

This pilot study aimed to evaluate the feasibility, defined as the actual app use, and the acceptability, which included patient satisfaction and appreciation, of the Smarter Health app.

METHODS

Between March 17, 2021, and September 30, 2021, pregnant women familiar with the Dutch language seeking tertiary preconception and pregnancy care were offered the app as part of standard medical care at the outpatient clinic Healthy Pregnancy of the Department of Obstetrics and Gynecology of the Erasmus University Medical Center. Three months after activation of the app, patients received a digital questionnaire consisting of aspects of feasibility and acceptability.

RESULTS

During this pilot study, 440 patients visited the outpatient clinic Healthy Pregnancy. Of the 440 patients, 293 (66.6%) activated the app. Of the 293 patients who activated the app, 125 (42.7%) filled out the questionnaire. Of these 125 patients, 48 (38.4%) used the app. Most app users used it occasionally and logged in 8 times during their medical care trajectory. Overall, app users were satisfied with the app (median 5-point Likert scale=2.4, IQR 2.0-3.3).

CONCLUSIONS

Our findings showed that the Smarter Health app, which integrates lifestyle care in medical care, is a feasible health care innovation, and that patients were satisfied with the app. Follow-up and evaluation of pregnancy outcomes should be performed to further substantiate wider clinical implementation.

Outcomes With a Mobile Digital Health Platform for Patients Undergoing Spine Surgery: Retrospective Analysis

BACKGROUND

Digital health solutions have been shown to enhance outcomes for individuals with chronic medical illnesses, but few have been validated for surgical patients. The digital health platform ManageMySurgery (MMS) has been validated for spine surgery as a feasible method for patients along their surgical journey through in-app education and completion of patient-reported outcomes surveys.

OBJECTIVE

The aim of this study is to determine the rates of 90-day emergency room (ER) visits, readmissions, and complications in patients undergoing spine surgery using MMS compared to patients using traditional perioperative care alone.

METHODS

Patients undergoing spine surgery at a US-based academic hospital were invited to use MMS perioperatively between December 2017 and September 2021. All patients received standard perioperative care and were classified as MMS users if they logged into the app. Demographic information and 90-day outcomes were acquired via electronic health record review. The odds ratios of having 90-day ER visits, readmissions, mild complications, and severe complications between the MMS and non-MMS groups were estimated using logistic regression models.

RESULTS

A total of 1015 patients were invited, with 679 using MMS. MMS users and nonusers had similar demographics: the average ages were 57.9 (SD 12.5) years and 61.5 (SD 12.7) years, 54.1% (367/679) and 47.3% (159/336) were male, and 90.1% (612/679) and 88.7% (298/336) had commercial or Medicare insurance, respectively. Cervical fusions (559/1015, 55.07%) and single-approach lumbar fusions (231/1015, 22.76%) were the most common procedures for all patients. MMS users had a lower 90-day readmission rate (55/679, 8.1%) than did nonusers (30/336, 8.9%). Mild complications (MMS: 56/679, 8.3%; non-MMS: 32/336, 9.5%) and severe complications (MMS: 66/679, 9.7%; non-MMS: 43/336, 12.8%) were also lower in MMS users. MMS users had a lower 90-day ER visit rate (MMS: 62/679, 9.1%; non-MMS: 45/336, 13.4%). After adjustments were made for age and sex, the odds of having 90-day ER visits for MMS users were 32% lower than those for nonusers, but this difference was not statistically significant (odds ratio 0.68, 95% CI 0.45-1.02; P=.06).

CONCLUSIONS

This is one of the first studies to show differences in acute outcomes for people undergoing spine surgery who use a digital health app. This study found a correlation between MMS use and fewer postsurgical ER visits in a large group of spine surgery patients. A planned randomized controlled trial will provide additional evidence of whether this digital health tool can be used as an intervention to improve patient outcomes.

Translating Data Analytics Into Improved Spine Surgery Outcomes: A Roadmap for Biomedical Informatics Research in 2021

STUDY DESIGN

Narrative review.

OBJECTIVES

There is growing interest in the use of biomedical informatics and data analytics tools in spine surgery. Yet despite the rapid growth in research on these topics, few analytic tools have been implemented in routine spine practice. The purpose of this review is to provide a health information technology (HIT) roadmap to help translate data assets and analytics tools into measurable advances in spine surgical care.

METHODS

We conducted a narrative review of PubMed and Google Scholar to identify publications discussing data assets, analytical approaches, and implementation strategies relevant to spine surgery practice.

RESULTS

A variety of data assets are available for spine research, ranging from commonly used datasets, such as administrative billing data, to emerging resources, such as mobile health and biobanks. Both regression and machine learning techniques are valuable for analyzing these assets, and researchers should recognize the particular strengths and weaknesses of each approach. Few studies have focused on the implementation of HIT, and a variety of methods exist to help translate analytic tools into clinically useful interventions. Finally, a number of HIT-related challenges must be recognized and addressed, including stakeholder acceptance, regulatory oversight, and ethical considerations.

CONCLUSIONS

Biomedical informatics has the potential to support the development of new HIT that can improve spine surgery quality and outcomes. By understanding the development life-cycle that includes identifying an appropriate data asset, selecting an analytic approach, and leveraging an effective implementation strategy, spine researchers can translate this potential into measurable advances in patient care.

The impact of a digital joint school educational programme on post-operative outcomes following lower limb arthroplasty: a retrospective comparative cohort study

Background

As part of an ongoing service improvement project, a digital ‘joint school’ (DJS) was developed to provide education and support to patients undergoing total hip (THR) and total knee (TKR) replacement surgery. The DJS allowed patients to access personalised care plans and educational resources using web-enabled devices, from being listed for surgery until 12 months post-operation. The aim of this study was to compare a cohort of patients enrolled into the DJS with a cohort of patients from the same NHS trust who received a standard ‘non-digital’ package of education and support in terms of Health-Related Quality of Life (HRQoL), functional outcomes and hospital length of stay (LoS).

Methods

A retrospective comparative cohort study of all patients undergoing primary TKR/THR at a single NHS trust between 1st Jan 2018 and 31st Dec 2019 (n = 2406) was undertaken. The DJS was offered to all patients attending the clinics of early adopting surgeons and the remaining surgeons offered their patient’s standard written and verbal information. This allowed comparison between patients that received the DJS (n = 595) and those that received standard care (n = 1811). For each patient, demographic data, LoS and patient reported outcome measures (EQ-5D-3L, Oxford hip/knee scores (OKS/OHS)) were obtained. Polynomial regressions, adjusting for age, sex, Charlson Comorbidity Index (CCI) and pre-operative OKS/OHS or EQ-5D, were used to compare the outcomes for patients receiving DJS and those receiving standard care.

Findings

Patients that used the DJS had greater improvements in their EQ-5D, and OKS/OHS compared to patients receiving standard care for both TKR and THR (EQ-5D difference: TKR coefficient estimate (est) = 0.070 (95%CI 0.004 to 0.135); THR est = 0.114 (95%CI 0.061 to 0.166)) and OKS/OHS difference: TKR est = 5.016 (95%CI 2.211 to 7.820); THR est = 4.106 (95%CI 2.257 to 5.955)). The DJS had a statistically significant reduction on LoS for patients who underwent THR but not TKR.

Conclusion

The use of a DJS was associated with improved functional outcomes when compared to a standard ‘non-digital’ method. The improvements between pre-operative and post-operative outcomes in EQ-5D and OKS/OHS were higher for patients using the DJS. Furthermore, THR patients also had a shorter LoS.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07989-1.

Determining the impact of postoperative complications in neurosurgery based on simulated longitudinal smartphone app-based assessment

Background

Complications after neurosurgical operations can have severe impact on patient well-being, which is poorly reflected by current grading systems. The objective of this work was to develop and conduct a feasibility study of a new smartphone application that allows for the longitudinal assessment of postoperative well-being and complications.

Methods

We developed a smartphone application “Post OP Tracker” according to requirements from clinical experience and tested it on simulated patients. Participants received regular notifications through the app, inquiring them about their well-being and complications that had to be answered according to their assigned scenarios. After a 12-week period, subjects answered a questionnaire about the app’s functionality, user-friendliness, and acceptability.

Results

A total of 13 participants (mean age 34.8, range 24–68 years, 4 (30.8%) female) volunteered in this feasibility study. Most of them had a professional background in either health care or software development. All participants downloaded, installed, and applied the app for an average of 12.9 weeks. On a scale of 1 (worst) to 4 (best), the app was rated on average 3.6 in overall satisfaction and 3.8 in acceptance. The design achieved a somewhat favorable score of 3.1. One participant (7.7%) reported major technical issues. The gathered patient data can be used to graphically display the simulated outcome and assess the impact of postoperative complications.

Conclusions

This study suggests the feasibility to longitudinally gather postoperative data on subjective well-being through a smartphone application. Among potential patients, our application indicated to be functional, user-friendly, and well accepted. Using this app-based approach, further studies will enable us to classify postoperative complications according to their impact on the patient’s well-being.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00701-021-04967-0.

Development and Usability Testing of a Mobile Application to Monitor Patient-Reported Outcomes after Stress Urinary Incontinence Surgery

OBJECTIVE

To develop and perform a usability testing of a mobile application (app) with representative users of surgeons and female patients undergoing stress urinary incontinence (SUI) surgery.

METHODS

A mobile app was developed with the Medical Device Epidemiology Network (MDEpiNet) High-Performance Integrated Virtual Environment (HIVE) to streamline the collection of patient-reported outcomes following SUI surgery using validated questionnaires. It was designed as a collaborative effort with the Women's Health Initiative (WHI), including patient and surgeon involvement. The app evaluation questions addressed the user's rating on the clarity and length of the questions and the comfort level in using the interface for patients to report post-operative outcomes and surgeons to review them.

RESULTS

A total of twenty patients and 5 surgeons tested the mobile app and reported their experience and level of satisfaction. The average patient experience score was 9 out of ten, with ten being the best. Eleven patients (55%) were interested in replacing in-person follow-up visits with the app. The surgeons reported an average user experience score of 8.6 out of ten. Four surgeons (80%) were interested in replacing in-person visits with the app. The combined experience score between all users was 8.9 out of ten. Fifteen out of twenty-five users (60%) showed interest in replacing in-person visits with the app.

CONCLUSION

The mobile app for SUI captured important patient-reported outcomes with a high satisfaction reporting from patients and surgeons.