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Middle East Journal of Digestive Diseases logoLink to Middle East Journal of Digestive Diseases
. 2024 Oct 30;16(4):211–220. doi: 10.34172/mejdd.2024.394

Developing Mobile Health Applications for Inflammatory Bowel Disease: A Systematic Review of Features and Technologies

Parvin Akbarian 1, Farkhondeh Asadi 1,*, Azam Sabahi 2
PMCID: PMC11725021  PMID: 39807416

Abstract

Background:

Patients with inflammatory bowel disease (IBD) require lifelong treatment, which significantly impacts their quality of life. Self-management of this disease is an effective factor in managing chronic conditions and improving patients’ quality of life. The use of mobile applications is a novel approach to providing self-management models and healthcare services for patients with IBD. The present systematic review aimed to identify the features and technologies used in the development of IBD disease management applications.

Methods:

This systematic review was conducted according to PRISMA guidelines in PubMed, Scopus, and Web of Sciences databases up to August 8, 2023, which included initial searches, screening studies, assessing eligibility and risk of bias, and study selection. The data extraction form was based on the study objectives, including bibliographic information from articles, such as the first author’s name, year of publication, country of origin, and details related to mobile health applications, such as the name of the application, features and technologies used, advantages and disadvantages, main outcomes, and other results. The content of the research was analyzed according to the research objectives.

Results:

In the initial review of four databases, a total of 160 articles were retrieved and subsequently entered into EndNote. After removing duplicates and irrelevant studies based on title, abstract, and full-text assessments, 12 articles were finally selected. The studies were conducted between the years 2015 and 2024. 100% of the applications designed for patients with IBD were aimed at treatment, 83% were for self-management of the disease, and 33% of the applications were intended for disease diagnosis. The features of IBD management applications were categorized into four groups: education, monitoring, counseling, and diagnosis and treatment.

Conclusion:

Various mobile applications have been developed for the management of IBD, each differing in features and technologies used. While current IBD applications have limited capabilities in diagnosing disease severity, they still hold significant potential in empowering patients through education, counseling, and monitoring. The integration of artificial intelligence and decision support systems may enhance the effectiveness and reliability of these applications.

Keywords: Mobile application, Portable software apps, Inflammatory bowel diseases

Introduction

Inflammatory bowel disease (IBD) is a comprehensive term for a set of chronic diseases, primarily including Crohn’s disease and ulcerative colitis.1 This condition is characterized by changes in the composition and function of the gut microbiome and systemic biochemical abnormalities, manifesting not only in the intestines and gastrointestinal tract but also in many patients in extraintestinal organs, often affecting the joints, skin, and eyes, which can occur before or after the diagnosis.2-4 Most patients require lifelong treatment, which significantly impacts their quality of life and survival while also creating an economic burden due to direct and indirect healthcare costs.5,6 IBD has long been regarded as a public health threat in Western countries, but the increasing incidence of IBD in developing countries has turned it into a global issue in recent decades.7 IBD can significantly affect individuals’ lives, as well as their physical, psychological, emotional, and social well-being.8 With projected prevalence rates in some areas reaching 1% over the next decade and the ongoing rise in IBD prevalence alongside an aging population worldwide, the use of healthcare resources by patients with IBD is inevitably increasing.9

The primary concerns of patients with IBD include reduced quality of life, medication side effects, unpredictability, psychological and physical complications, social isolation, the need for surgery, and the risk of cancer.10,11 While large academic IBD centers may provide multidisciplinary support from nutritionists, psychologists, therapists, and pharmacists, many patients do not have access to these services and report a need for dietary and lifestyle interventions.12 Given the complexity and lifelong nature of this disease, patient ownership and engagement in their disease management are crucial for improving quality of life, preventing disease complications, and enhancing disease self-management.13 Today, patients are increasingly seeking to participate in treatment decision-making and disease management based on their preferences, which positively impacts reported quality of life, long-term adherence, and resource utilization.5 Self-management strategies are effective due to the chronic and unpredictable nature of IBD, enabling patients to take control of their lives and health.14

Electronic health (e-Health) encompasses the use of technologies that facilitate communication between patients and healthcare providers, providing a solution for more effective management of IBD care beyond the clinical setting, both in terms of patient outcomes and cost reduction.15,16 A study by Wang and colleagues showed that patients who use smartphone applications to monitor their medical conditions feel more secure about their status, engage more in their health, and believe they are well cared for outside the clinical environment.17 However, there is an increasing need to initiate a digital transition in the medical management of IBD to achieve multifaceted clinical benefits, from enhanced treatment adherence to precise monitoring, with feasibility in terms of economic sustainability and reduced healthcare costs.17 Many studies have examined the impact of mobile health on healthcare utilization for patients with IBD, demonstrating that mobile health management leads to reduced outpatient visits and hospitalizations, less use of injectable medications, fewer endoscopic procedures, and decreased healthcare-related costs.18

Previous studies have primarily focused on applications’ content and the needs of their audience. They revealed that IBD management applications lack professional medical intervention, adherence to guidelines, and clinical credibility, which poses challenges for physicians. They recommended that the development of future apps prioritizes behavioral change models and understanding the needs of both patients and physicians to effectively meet the individual needs of patients with IBD.19-21

Preliminary reviews by the authors indicated that no systematic review focusing on the features and technologies has been conducted to date. Therefore, given mobile health applications’ capabilities in enhancing IBD management and providing better patient outcomes, identifying the necessary features and technologies in mobile health applications can assist developers in better design. This study was conducted to examine mobile applications developed for managing IBD, focusing on identifying the features and technologies used in these applications.

Materials and Methods

Study Design and Search Strategy

This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) until August 8, 2023, which included the initial search, screening of studies, assessing the eligibility and risk of bias, and study selection.22 The searches were done using a combination of keywords, which are indicated in Table 1.

Table 1. Search strategies for different databases .

Database Keywords
PubMed ((“Mobile Application*” [Title/Abstract] OR “Mobile Application*” [Mesh terms] OR “Portable Electronic App*” [Title/Abstract] OR Portable Electronic [Title/Abstract] OR “Electronic Apps” [Title/Abstract] OR “Portable Software Apps” [Title/Abstract] OR “Portable Software” [Title/Abstract]) AND (“Inflammatory Bowel Diseases” [Mesh term] OR “Inflammatory Bowel Diseases” [Title/Abstract] OR “Inflammatory Bowel Disease” [Title/Abstract] OR “Bowel Diseases” [Title/Abstract]))
Scopus ((TITLE-ABS-KEY (“Mobile Application*”) OR TITLE-ABS-KEY (“Portable Electronic App*”) OR TITLE-ABS-KEY (“Portable Electronic”) OR TITLE-ABS-KEY (“Electronic Apps”) OR TITLE-ABS-KEY (“Portable Software Apps”) OR TITLE-ABS-KEY (“Portable Software”)) AND (TITLE-ABS-KEY (“Inflammatory Bowel Diseases”) OR TITLE-ABS-KEY (“Inflammatory Bowel Disease”) OR TITLE-ABS-KEY (“Bowel Diseases”)))
Web of Science ((TS= (“Mobile Application*”) OR TS= (“Portable Electronic App*”) OR TS= (“Portable Electronic”) OR TS= (“Electronic Apps”) OR TS= (“Portable Software Apps”) OR TS= (“Portable Software”)) AND (TS= (“Inflammatory Bowel Diseases”) OR TS= (“Inflammatory Bowel Disease”) OR TS= (“Bowel Diseases”)))

Data Sources

To find the studies, scientific databases, including PubMed, Scopus, and Web of Sciences, were searched according to the search strategy, and the found articles were imported into the EndNote reference manager software (EndNote X20, Clarivate Analytics, Philadelphia). Additionally, to retrieve other related studies, a hand search was made in the list of references of the included articles and the Google Scholar search engine with different combinations of keywords.

Study Selection Process

The selection criteria comprised original articles in English that introduced or reviewed health applications for IBD, specifically examining the features and technologies used in these applications. This study excluded brief reports, letters to the editor, conference abstracts, review articles, and articles that were not available in full text or written in a language other than English.

Data Extraction

The process of data extraction involved utilizing a researcher-made data extraction form in Excel (Microsoft, 2019) based on the objectives of the study after selecting the studies. This form consisted of bibliographic information of articles, such as the first author’s name, publication year, country of origin, and specifics regarding mobile health applications, such as the name of the application, features, and technologies used in these applications, the advantages and disadvantages, the main outcome, and other outcomes. The content of the study was then analyzed, considering the study’s aim.

Quality and Risk of Bias Assessment

The quality assessment of studies was done using the Newcastle-Ottawa Scale (NOS), a widely recognized tool for assessing the quality of observational studies.23 Some modifications were made to NOS to accommodate the assessment of the quality of health information systems in studies. All articles had the necessary quality according to the checklist.

Data Synthesis and Analysis

The descriptive analysis, which included frequency and percentage parameters, was calculated based on the study’s variables. The results were then presented in the form of graphs and tables.

Results

Study Selection

In the initial review of four databases, 160 articles were retrieved and then imported into EndNote software. After removing duplicates and irrelevant articles based on title, abstract, and full-text evaluation, 12 articles were ultimately included in this systematic review. The process of screening and selecting the included and excluded articles is presented in Figure 1.

Figure 1.

Figure 1

PRISMA flow diagram indicating results of identification and screening process

Characteristics of the Included Studies

The main characteristics of the 12 studies are shown in Table 2. The time frame for the studies was between 2015 and 2024. Most studies were conducted in the USA,16,24,25 while others were conducted in Romania,26 Japan,27 Spain,28 Belgium,5 the Netherlands,6 Poland,29 Canada,30 India,31 and the UK.32

Table 2. Main characteristics of the studies .

First author (reference) The year of the study country Type of IBD Application name Application aim Main results
Oancea26 2022 Romania Colitis ulcerative & Crohn's disease IBD Monitor Maintain communication between patients and doctors The possibility of obtaining relevant information about the epidemiology of IBD, patient characteristics and awareness of the problems that patients face in complying with prescribed treatments
Song27 2023 Japan Colitis ulcerative & Crohn's disease Collection of patient-generated health data with a mobile application and transfer to hospital information system (HIS) via QR codes Encouraging patients to continuously record their daily conditions on a mobile device and the possibility of transferring data to HIS Using a mobile application to collect patient-generated health data and transfer it to the HIS is an effective and efficient way to improve data accuracy and accessibility in healthcare institutions.
Del Hoyo28 2020 Spain IBD TECCU App
(Telemonitoring of Crohn's Disease and Ulcerative Colitis)
Improving app usability and effectiveness in managing IBD symptoms and enhancing patient care The app provided a quick and easy platform for patients and providers to use. The design of the platform should favor shared decision-making with healthcare providers through an open and secure communication process.
Coenen5 2020 Belgium IBD Mynexuzhealth IBD Demonstrate the effectiveness and accuracy of remote monitoring tools for monitoring disease activity This application has been successful in active remote continuous monitoring and timely disease diagnosis.
de Jong6 2017 Netherlands IBD MyIBDcoach Testing the feasibility of this system The application enabled the creation of integrated care for all patients with IBD regardless of disease severity or drug use, facilitated communication with healthcare providers, and improved knowledge about IBD using e-learning modules.
Stawiski29 2015 Poland Chronic gastrointestinal disorders, such as chronic pancreatitis, IBD, or irritable bowel syndrome Pancre App Development, establishment, and evaluation of an interactive application This app provided an innovative approach to individualizing nutrition guidelines and utilized collected data to analyze retrospective disease information and create flexible, personalized nutrition models.
Zand16 2021 USA IBD UCLA eIBD Examining patients' satisfaction with the application for care management and receiving feedback from them in order to improve the mobile application This app improved patient experience and satisfaction and provided useful recommendations for future e-health solutions.
Erlich30 2023 Canada IBD MyHealthyGut Meeting the needs of patients with IBD and healthcare practitioners in their care This app is of value and use or recommended for IBD patients and healthcare providers specializing in this field.
Gupta31 2022 India IBD IBD NutriCare Providing a personalized patient profile with a database containing demographic information, medications, daily diet, clinical symptoms and disease scores A potential tool for telenutrition to improve patient care
Acceptable validation of this app against the traditional recall method of dietary assessment of the database provided by the app can be used to fill existing gaps in our knowledge of dietary interventions in IBD.
Fawson32 2022 UK IBD IBD-BOOST Addressing patients' concerns by creating an online self-management intervention for fatigue, pain, and urgency/incontinence, as well as meeting the needs of patients The importance of addressing the specific needs and desires of patients with IBD in the development of online self-management apps for symptoms such as fatigue, pain, and urgency.
Roberts24 2024 USA IBD SMART IBD Identification of barriers to self-management in adolescents with IBD App-based interventions in adolescence will ideally lead to better access and access to self-management interventions as well as improved health behaviors and outcomes in adulthood.
Atreja25 2015 USA IBD HealthPROMISE Improving the quality of care and the quality of life of patients with IBD through the implementation of this platform This platform can be an effective tool in the management and quality of care and quality of life of patients with IBD, increasing the overall well-being of patients with this chronic disease and ultimately empowering patients and providers.

The results of the present study showed that 100% of the applications designed for patients with IBD were aimed at treatment, 83% were for self-management,6,16,24-26,28-32 and 33% of the applications were designed for disease diagnosis.5,6,16,28

The IBD Management Applications’ Features

The features of IBD management applications are categorized into four groups: education, monitoring, consultation, and diagnosis (Table 3).

Table 3. Features of IBD management applications .

Main groups Subgroups (reference)
Education Educational programs include healthy lifestyle habits, including nutrition, exercise, relaxation, and mental health16
Nutrition education and instructions for common IBD foods30
General dietary recommendations for IBD based on disease status, such as flare or remission31
Teachings about ways to deal with fatigue, pain, and urgency32
Teaching information about IBD disease26
Supervision Direct monitoring of patient treatment management through connection to the IBD registry26
Connecting to HIS and physicians' use of health data effectively to monitor patient-centered medical care27
Sending data to electronic medical record (EMR) and generating alerts: review of clinical deviations, flare-ups, and follow-up of alerts by nurses5,24,25
Monitoring the exacerbation of the disease, tracking the activity of the disease, and communication between the patient and the doctor6,31
Monitor disease activity, schedule appointments, and send messages to providers16
Supervision of nutritionists directly on the amount of dietary intake26
Enthusiastic monitoring and support of symptom and diet tracking functions and suggestions for finding other sources of advice32
Visual reports integrated with electronic health records (EHRs)25
Counseling and treatment Collecting health data generated by the patient to understand the patient's daily condition for efficient treatment27
Sending pictures using the phone and automatic system messages according to the needs of patients28
Personal response to patients by a nurse or doctor within 24 to 48 hours28
Predicting the number of meals with special value for each patient29
Sending messages to service providers and scheduling appointments16
Patient symptom tracking and provider feedback32
ECBT (electronic cognitive behavioral therapy)16
Dietary recommendations based on disease conditions such as flare or recovery31
Providing evidence-based care24
Decision support to create alerts and dashboard reports5,25,30
Diagnosis Matching Eliza laboratory values ​​to combine PRO (Patient Reported Outcome) values ​​with calprotectin home test values28
Questionnaire for Crohn's and Colitis patients and investigation of clinically related deviations in data for patients5
disease activity tracking6

The IBD Management Applications’ Limitations

Table 4 demonstrates the limitations of IBD management applications.

Table 4. Limitations of IBD disease management applications .

Limitation (Frequency, Percentage) (Reference)
Difficult implementation on all types of smartphones (n=1, 8.3%)26
Inconsistency of user experience due to different screen shapes and different operating systems (n=1, 8.3%)26
Security risks when printing due to lack of encryption of data in QR (Quick Response code) codes (n=1, 8.3%)27
Dependence of data size in QR codes (Quick Response code) on mobile phone specifications (n=1, 8.3%)27
Implementation only in the environment of Microsoft Windows and Android phones (n=1,8.3%) 29
Inability to use the app without basic computer skills (n=1, 8.3%)29
Internet access (n=1, 8.3%) 24
Access to the application only on the iOS platform (n=1, 8.3%)30

The reviewed applications in the studied articles used different technologies, the details of which are given in Figure 2.

Figure 2.

Figure 2

Technologies used in IBD management applications

Discussion

This systematic review examined the features and technologies used to develop IBD management applications. These applications provide comprehensive monitoring tools that allow patients to track their symptoms, medication adherence, and any side effects. This real-time data can be valuable for healthcare providers to effectively and quickly adjust treatment plans.12 Additionally, mobile applications aimed at assisting patients with IBD have the potential to enhance care in various ways, including a better understanding of the disease, improved medication adherence, accessible support networks, and early interventions by healthcare providers in case of issues.20 They also serve as a promising telehealth tool to facilitate self-management in a new healthcare model, where patients have closer interactions with their medical team and are involved in their decision-making process, increasing opportunities for patient-centered care.33

The results of a study by Con et al,19 which examined the content and tools available in IBD applications to identify functions that may assist in patient self-management, indicated a continuous and accurate increase in evaluating applications designed to change behavior for promoting health and disease management. This reflects the growing trend of these applications in the self-management of IBD and the importance of evaluating them.

Results from a meta-analysis showed that e-health interventions improved self-management in patients with IBD by enhancing their quality of life, reducing psychological distress, and increasing medication adherence. These interventions also significantly reduced the number of clinic or hospital visits for patients with IBD.34

Based on the results of the present study, the least application of IBD management applications was related to the early diagnosis of this disease. The study by Kelso et al20 indicated that less than 10% of mHealth apps focus on providing diagnostic tools.

The lack of diagnostic features may stem from several factors. The complexity of accurately diagnosing IBD through an app without clinical intervention poses a challenge. IBD symptoms often overlap with other gastrointestinal disorders, making differential diagnosis difficult without professional assessment. Additionally, regulatory concerns and privacy issues regarding the management of sensitive health data may deter developers from incorporating robust diagnostic tools.35,36 Despite these challenges, the importance of early diagnosis cannot be overlooked. Early diagnosis of IBD can prevent complications, reduce the need for extensive surgery, and improve overall disease management. Therefore, there is a clear need for innovation in this area, potentially focusing on developing non-invasive and user-friendly diagnostic tools that can be integrated into mHealth applications. Such advancements could bridge the current gap and provide comprehensive care for patients with IBD, from prevention and diagnosis to treatment and self-management.

Based on the results of the current study, one of the features of IBD management applications is educating patients to manage their condition, which includes teaching a healthy lifestyle such as nutrition, exercise, physical activity, maintaining calmness and mental health, coping strategies for fatigue, and disease knowledge. Previous studies have shown that good knowledge about IBD plays a vital role in the self-management of this disease and positively impacts treatment acceptance, optimization, adherence, and social well-being.19,37,38 Norouzkhani and colleagues,39 in their study aimed at examining the informational and supportive needs and identifying gaps related to these needs in patients with IBD, concluded that the most important supportive needs of these patients are educational needs, including nutrition, medication side effects, surgical complications, and long-term disease outcomes. These needs align with the features utilized in the applications examined in the present study. In another study by Khalil et al,40 aimed at identifying unmet educational needs of patients with IBD, it was found that the most important educational need, in addition to the aspects mentioned earlier, is guidance on insurance coverage and education for family and friends, as many patients experience a lack of empathy and understanding from those around them. The management of patients with IBD should not only focus on medical aspects but also provide education on psychological and social dimensions, enhancing the quality of life for patients and their ability to participate entirely in their self-management.41 It is recommended that future educational content in applications be designed with these considerations in mind.

Another feature of the IBD management application in this study is patient monitoring through a direct connection to the IBD Registry, linking to HIS for effective use of health data by physicians, and EMR for reviewing clinical deviations and disease flare-ups. Maintaining communication between patients and physicians during disease exacerbations and direct monitoring by nutrition specialists over patients’ diets are also relevant features of the applications in this study.

The direct connection of IBD management applications to the IBD Registry provides the capability for real-time tracking of patient data and trends in a broader population, which can aid in understanding treatment effectiveness and conducting research for better management strategies. Additionally, by connecting applications to HIS, physicians can access patient health data more effectively, leading to more personalized and timely care.18,42,43

Maintaining communication between patients and healthcare providers during disease flare-ups is critical, ensuring that patients receive the necessary support and guidance for effective symptom management. Furthermore, the involvement of nutrition specialists in monitoring and advising patients regarding their diet can lead to better disease control and improved quality of life for patients with IBD.16,44

Collectively, these features contribute to a more comprehensive and preventive approach to managing IBD and emphasize the importance of continuous monitoring, personalized care, and the integration of various healthcare specialists in the treatment process for these patients. This model has the potential to improve patient outcomes and satisfaction.

Visual reports generated as charts from data related to disease symptoms, medication adherence, and diet through mobile applications, integrated with EHRs in patients with IBD, have great potential to enhance the monitoring and management of this chronic condition.45 Patients with IBD can gain better control over their condition by tracking their symptoms and sharing this information in real time with their healthcare team. This can lead to more personalized treatment plans and quicker interventions when necessary, ultimately improving the quality of care for patients with IBD.16,46,47

Another feature of IBD management applications is counseling and treatment, which includes collecting health data from patients, tracking patient symptoms and provider feedback, offering evidence-based care, electronic cognitive behavioral therapy, and decision support systems to create alerts.

Counseling and treatment through mobile applications enable patients to receive medical consultations and treatment plans directly through their smartphones, making this advice accessible to patients in remote locations. Continuous symptom tracking aids in the early detection of flare-ups and facilitates timely interventions that can prevent complications and hospitalizations.15,20,45 Utilizing evidence-based guidelines in disease management applications ensures that the care provided is current and effective through research. Additionally, cognitive-behavioral strategies can help patients cope with the psychological impacts of IBD. Applications equipped with alert systems can notify patients and providers about potential issues, such as medication adherence or symptom exacerbation, allowing for prompt actions.16,48

These features collectively enhance the quality of care for patients with IBD by facilitating better self-management, improving communication between patients and providers, and ensuring that treatment decisions are evidence-based. Studies have indicated that such comprehensive apps can significantly improve user-reported disease management levels, and top-rated apps often include a variety of these features.49 Integrating these features into IBD management apps can improve health outcomes and a better quality of life for patients with this chronic disease.

The ability to assess disease severity is another feature of the IBD management application. Home tests measuring fecal calprotectin using smartphones are utilized to determine the level of inflammation and disease flare-ups. Artificial intelligence, employing advanced algorithms and machine learning, can analyze patient data, thereby increasing the accuracy of IBD diagnosis, grading disease severity, and determining its extent.50-52 In line with patient-centered care, empowered patients can use new home calprotectin tests that are sufficiently accurate and useful to rule out disease activity at low levels of fecal calprotectin. These new tools can be one of the first steps toward comprehensive health in IBD. In the near future, machine learning may enable the integration of large datasets into personalized algorithms.37,53

Other results from the present study showed that the technologies used in the reviewed applications include connections to EMR, EHR, and hospital HIS, the use of artificial intelligence techniques such as machine learning and data mining, automated messaging, cloud computing, data encryption, barcode scanning, and the connection of smartwatch applications to mobile devices. Smartphone applications are suitable tools that create a platform for remote monitoring of health parameters. More integrated platforms that directly input health data into the EHR can be accompanied by expert systems and decision support tools for semi-automatic review and interpretation of a wide array of submitted data, enabling continuous monitoring and management of patient health beyond outpatient or inpatient visits.18,45,54

Applications of artificial intelligence in IBD cover recent advancements in interpreting and scoring endoscopic images, new capabilities for analyzing cross-sectional images, natural language processing for automatic understanding of clinical text, and improvements in clinical decision support tools.53

Through mobile computing based on cloud computing, large and complex calculations can be performed on powerful cloud servers rather than on mobile devices with limited resources. This maintains the application’s performance, which includes fulfilling requested services, data storage, and energy efficiency while also improving processor capabilities and significantly reducing the energy required by mobile devices.55,56

The use of barcode scanner technology in IBD disease management applications can simplify the process of recording medications or dietary supplements by scanning barcodes, making it easier for patients to track their consumption levels.36,57 Additionally, using smartwatch connectivity technology can provide real-time monitoring of health parameters, such as heart rate, which can be beneficial for managing IBD.36 Other results from the current study indicated that IBD disease management applications face limitations, including complex implementation across different smartphone types, inconsistencies in user experience due to differences in screen shapes and operating systems, security risks when printing due to the lack of data encryption in QR codes, functionality limited to Microsoft Windows environments and Android phones, and the inability to use the application without basic computer skills and internet access.

The results of the study by Cucciniello et al,58 which aimed to conduct a systematic review of randomized studies on smartphone apps designed for managing high-prevalence diseases, highlight the lack of official development standards in the design process of chronic disease management applications. This study emphasizes policymakers’ and developers’ need to address security issues and ensure continuous software updates. It suggests that users and healthcare professionals should participate in the development process of applications to align their features with the actual needs and preferences of end users.

Overall, while applications have the potential to assist in managing IBD, improvements in design, security, and accessibility are needed to make them more inclusive and safer for all users. Therefore, it is recommended that developers of these applications consider multi-platform development frameworks, enhance security features, and simplify user interfaces to overcome these limitations.

The current study faced limitations, including the review of only three databases, which may not have included all relevant studies. Access to the full text of some articles was unavailable, and only English-language articles were considered in the inclusion and exclusion criteria. Nevertheless, the researchers aimed to select studies of sufficient quality by applying strict inclusion and exclusion criteria.

Conclusion

Numerous mobile applications have been designed to manage IBD. These applications vary in features and technologies used, with few employing artificial intelligence and cloud computing for self-management of the disease. The use of a single platform for application design and lack of internet access may limit the enthusiasm for using them. Additionally, using QR codes and the lack of data encryption can pose security risks. Existing IBD applications play a limited role in diagnosing recurrences and severity of the disease. Given the importance of early diagnosis and its impact on treatment choices, the current applications may not be well-received by physicians. Despite these limitations, mobile applications have the potential to transform patients into dynamic and empowered individuals in their treatment and disease management through effective education, counseling, and monitoring. It should also be considered that using artificial intelligence and decision-support systems in future designs may enhance the quality and reliability of these applications for disease management, paving the way for personalized medicine.

Cite this article as: Akbarian P, Asadi F, Sabahi A. Developing mobile health applications for inflammatory bowel disease: a systematic review of features and technologies. Middle East J Dig Dis 2024;16(4):211-220. doi: 10.34172/mejdd.2024.394.

Footnotes

Authors’ Contribution

Conceptualization: Parvin Akbarian, Farkhondeh Asadi, Azam Sabahi.

Data curation: Parvin Akbarian, Azam Sabahi.

Formal analysis: Parvin Akbarian, Farkhondeh Asadi, Azam Sabahi.

Investigation: Farkhondeh Asadi.

Methodology: Farkhondeh Asadi.

Validation: Farkhondeh Asadi.

Writing–original draft: Parvin Akbarian, Farkhondeh Asadi, Azam Sabahi.

Writing–review & editing: Parvin Akbarian, Farkhondeh Asadi, Azam Sabahi.

Competing Interests

The authors have no conflicts of interest to declare related to this work.

Data Availability Statement

All data generated or analyzed during this study are included in this published article. All authors have read and approved the final version of the manuscript, had full access to all of the data in this study, and take complete responsibility for the integrity of the data and the accuracy of the data analysis.

Ethical Approval

This study was approved under the ethical approval code IR.SBMU.RETECH.REC.1402.852

Funding

This study did not receive specific grants from public, commercial, or non‐profit organizations.

Transparency Statement

The lead author Farkhondeh Asadi,affirms that this manuscript is an honest, accurate, and transparent account of the study being reported, that no important aspects of the study have been omitted, and that any discrepancies from the study as planned (and if relevant, registered) have been explained.

References

  • 1.Stafford IS, Gosink MM, Mossotto E, Ennis S, Hauben M. A systematic review of artificial intelligence and machine learning applications to inflammatory bowel disease, with practical guidelines for interpretation. Inflamm Bowel Dis. 2022;28(10):1573–83. doi: 10.1093/ibd/izac115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Khan I, Ullah N, Zha L, Bai Y, Khan A, Zhao T, et al. Alteration of gut microbiota in inflammatory bowel disease (IBD): cause or consequence? IBD treatment targeting the gut microbiome. Pathogens. 2019;8(3):126. doi: 10.3390/pathogens8030126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Rogler G, Singh A, Kavanaugh A, Rubin DT. Extraintestinal manifestations of inflammatory bowel disease: current concepts, treatment, and implications for disease management. Gastroenterology. 2021;161(4):1118–32. doi: 10.1053/j.gastro.2021.07.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Banerjee R, Ali RA, Wei SC, Adsul S. Biologics for the management of inflammatory bowel disease: a review in tuberculosis-endemic countries. Gut Liver. 2020;14(6):685–98. doi: 10.5009/gnl19209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Coenen S, Nijns E, Weyts E, Geens P, Van den Bosch B, Vermeire S, et al. Development and feasibility of a telemonitoring tool with full integration in the electronic medical record: a proof of concept study for patients with inflammatory bowel disease in remission on biological therapy. Scand J Gastroenterol. 2020;55(3):287–93. doi: 10.1080/00365521.2020.1735506. [DOI] [PubMed] [Google Scholar]
  • 6.de Jong M, van der Meulen-de Jong A, Romberg-Camps M, Degens J, Becx M, Markus T, et al. Development and feasibility study of a telemedicine tool for all patients with IBD: MyIBDcoach. Inflamm Bowel Dis. 2017;23(4):485–93. doi: 10.1097/mib.0000000000001034. [DOI] [PubMed] [Google Scholar]
  • 7.Liu L, Liang L, Yang C, Chen Y. Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease. Front Immunol. 2023;14:1136991. doi: 10.3389/fimmu.2023.1136991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jannati N, Salehinejad S, Kuenzig ME, Peña-Sánchez JN. Review and content analysis of mobile apps for inflammatory bowel disease management using the mobile application rating scale (MARS): systematic search in app stores. Int J Med Inform. 2023;180:105249. doi: 10.1016/j.ijmedinf.2023.105249. [DOI] [PubMed] [Google Scholar]
  • 9.Burisch J, Zhao M, Odes S, De Cruz P, Vermeire S, Bernstein CN, et al. The cost of inflammatory bowel disease in high-income settings: a Lancet Gastroenterology & Hepatology Commission. Lancet Gastroenterol Hepatol. 2023;8(5):458–92. doi: 10.1016/s2468-1253(23)00003-1. [DOI] [PubMed] [Google Scholar]
  • 10.Mohsenizadeh SM, Manzari ZS, Vossoughinia H, Ebrahimipour H. Reconstruction of individual, social, and professional life: Self-management experience of patients with inflammatory bowel disease. J Educ Health Promot. 2021;10:410. doi: 10.4103/jehp.jehp_1543_20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Knowles SR, Graff LA, Wilding H, Hewitt C, Keefer L, Mikocka-Walus A. Quality of life in inflammatory bowel disease: a systematic review and meta-analyses-part I. Inflamm Bowel Dis. 2018;24(4):742–51. doi: 10.1093/ibd/izx100. [DOI] [PubMed] [Google Scholar]
  • 12.Gold SL, Chiew BA, Rajagopalan V, Lavallee CM. Identification and evaluation of mobile applications for self-management of diet and lifestyle for patients with inflammatory bowel disease. J Can Assoc Gastroenterol. 2023;6(5):186–95. doi: 10.1093/jcag/gwad029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Haj O, Lipkin M, Kopylov U, Sigalit S, Magnezi R. Patient activation and its association with health indices among patients with inflammatory bowel disease. Therap Adv Gastroenterol. 2022;15:17562848221128757. doi: 10.1177/17562848221128757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tran L, Mulligan K. A systematic review of self-management interventions for children and adolescents with inflammatory bowel disease. Inflamm Bowel Dis. 2019;25(4):685–98. doi: 10.1093/ibd/izy299. [DOI] [PubMed] [Google Scholar]
  • 15.Zhen J, Marshall JK, Nguyen GC, Atreja A, Narula N. Impact of digital health monitoring in the management of inflammatory bowel disease. J Med Syst. 2021;45(2):23. doi: 10.1007/s10916-021-01706-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zand A, Nguyen A, Reynolds C, Khandadash A, Esrailian E, Hommes D. Patient experience and satisfaction with an e-health care management application for inflammatory bowel diseases. Int J Environ Res Public Health. 2021;18(22):11747. doi: 10.3390/ijerph182211747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Gravina AG, Pellegrino R, Durante T, Palladino G, D’Onofrio R, Mammone S, et al. Telemedicine in inflammatory bowel diseases: a new brick in the medicine of the future? World J Methodol. 2023;13(4):194–209. doi: 10.5662/wjm.v13.i4.194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Spartz EJ, DeDecker L, Le D, Jalilian L, Limketkai BN. Advances in mobile health for inflammatory bowel disease. Diagnostics (Basel) 2022;13(1):37. doi: 10.3390/diagnostics13010037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Con D, De Cruz P. Mobile phone apps for inflammatory bowel disease self-management: a systematic assessment of content and tools. JMIR Mhealth Uhealth. 2016;4(1):e13. doi: 10.2196/mhealth.4874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kelso M, Feagins LA. Can smartphones help deliver smarter care for patients with inflammatory bowel disease? Inflamm Bowel Dis. 2018;24(7):1453–9. doi: 10.1093/ibd/izy162. [DOI] [PubMed] [Google Scholar]
  • 21.Gerner M, Vuillerme N, Aubourg T, Messner EM, Terhorst Y, Hörmann V, et al. Review and analysis of German mobile apps for inflammatory bowel disease management using the mobile application rating scale: systematic search in app stores and content analysis. JMIR Mhealth Uhealth. 2022;10(5):e31102. doi: 10.2196/31102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Garavand A, Ameri F, Salehi F, Hajipour Talebi A, Karbasi Z, Sabahi A. A systematic review of health management mobile applications in COVID-19 pandemic: features, advantages, and disadvantages. Biomed Res Int. 2024;2024:8814869. doi: 10.1155/2024/8814869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Roberts CM, Plevinsky JM, Gamwell KL, Noser AE, Denson LA, Hommel KA. Self-management assistance for recommended treatment (SMART) IBD app randomized control trial in adolescents with IBD: design and methodology. Health Care Transitions. 2024;2:100031. doi: 10.1016/j.hctj.2023.100031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Atreja A, Khan S, Rogers JD, Otobo E, Patel NP, Ullman T, et al. Impact of the mobile HealthPROMISE platform on the quality of care and quality of life in patients with inflammatory bowel disease: study protocol of a pragmatic randomized controlled trial. JMIR Res Protoc. 2015;4(1):e23. doi: 10.2196/resprot.4042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Oancea CN, Statie RC, Gheonea DI, Ciurea T, Șerbănescu MS, Streba CT. IBD monitor: Romanian national mobile application for inflammatory bowel disease personalized treatment and monitoring. Diagnostics (Basel) 2022;12(6):1345. doi: 10.3390/diagnostics12061345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Song C, Kakuta Y, Negoro K, Moroi R, Masamune A, Sasaki E, et al. Collection of patient-generated health data with a mobile application and transfer to hospital information system via QR codes. Comput Methods Programs Biomed Update. 2023;3:100099. doi: 10.1016/j.cmpbup.2023.100099. [DOI] [Google Scholar]
  • 28.Del Hoyo JD, Nos P, Faubel R, Bastida G, Muñoz D, Valero-Pérez E, et al. Adaptation of TECCU app based on patients´ perceptions for the telemonitoring of inflammatory bowel disease: a qualitative study using focus groups. Int J Environ Res Public Health. 2020;17(6):1871. doi: 10.3390/ijerph17061871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Stawiski K, Strzałka A, Puła A, Bijakowski K. PancreApp: an innovative approach to computational individualization of nutritional therapy in chronic gastrointestinal disorders. Stud Health Technol Inform. 2015;216:325–8. [PubMed] [Google Scholar]
  • 30.Erlich M, Lindblad S, Haskey N, Clarkin DH, Dong T, Harvie R, et al. User testing to modify the MyHealthyGut digital health application for inflammatory bowel disease. Digit Health. 2023;9:20552076231203664. doi: 10.1177/20552076231203664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Gupta A, Singh N, Madan D, Farooqui M, Singh N, Thomas DM, et al. Development and validation of a smartphone application for telenutrition in patients with inflammatory bowel disease. Diagnostics (Basel) 2022;12(10):2482. doi: 10.3390/diagnostics12102482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Fawson S, Dibley L, Smith K, Batista J, Artom M, Windgassen S, et al. Developing an online program for self-management of fatigue, pain, and urgency in inflammatory bowel disease: patients’ needs and wants. Dig Dis Sci. 2022;67(7):2813–26. doi: 10.1007/s10620-021-07109-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Echarri A, Vera I, Ollero V, Arajol C, Riestra S, Robledo P, et al. The Harvey-Bradshaw index adapted to a mobile application compared with in-clinic assessment: the MediCrohn study. Telemed J E Health. 2020;26(1):80–8. doi: 10.1089/tmj.2018.0264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Rohde JA, Barker JO, Noar SM. Impact of eHealth technologies on patient outcomes: a meta-analysis of chronic gastrointestinal illness interventions. Transl Behav Med. 2021;11(1):1–10. doi: 10.1093/tbm/ibz166. [DOI] [PubMed] [Google Scholar]
  • 35.Syed S, Boland BS, Bourke LT, Chen LA, Churchill L, Dobes A, et al. Challenges in IBD research 2024: precision medicine. Inflamm Bowel Dis. 2024;30(Suppl 2):S39–54. doi: 10.1093/ibd/izae084. [DOI] [PubMed] [Google Scholar]
  • 36.Atreja A, Otobo E, Ramireddy K, Deorocki A. Remote patient monitoring in IBD: current state and future directions. Curr Gastroenterol Rep. 2018;20(2):6. doi: 10.1007/s11894-018-0611-3. [DOI] [PubMed] [Google Scholar]
  • 37.Del Hoyo J, Millán M, Garrido-Marín A, Aguas M. Are we ready for telemonitoring inflammatory bowel disease? A review of advances, enablers, and barriers. World J Gastroenterol. 2023;29(7):1139–56. doi: 10.3748/wjg.v29.i7.1139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kuriakose Kuzhiyanjal AJ, Nigam GB, Antoniou GA, Farraye FA, Cross RK, Limdi JK. Management of inflammatory bowel disease using eHealth technologies: a systematic review and meta-analysis. J Crohns Colitis. 2023;17(10):1596–613. doi: 10.1093/ecco-jcc/jjad075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Norouzkhani N, Faramarzi M, Ghodousi Moghadam S, Karimi MA, Shokri Shirvani J, Bahari A, et al. Identification of the informational and supportive needs of patients diagnosed with inflammatory bowel disease: a scoping review. Front Psychol. 2023;14:1055449. doi: 10.3389/fpsyg.2023.1055449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Khalil C, Van Deen W, Dupuy T, Bonthala N, Almario C, Spiegel B. Developing patient-centered inflammatory bowel disease-related educational videos optimized for social media: qualitative research study. JMIR Med Educ. 2020;6(2):e21639. doi: 10.2196/21639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Graffigna G, Bosio C, Pagnini F, Volpato E, Previtali E, Leone S, et al. Promoting psycho-social wellbeing for engaging inflammatory bowel disease patients in their care: an Italian consensus statement. BMC Psychol. 2021;9(1):186. doi: 10.1186/s40359-021-00692-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Halfvarson J, Cummings F, Grip O, Savoye G. Inflammatory bowel disease registries for collection of patient iron parameters in Europe. World J Gastroenterol. 2018;24(10):1063–71. doi: 10.3748/wjg.v24.i10.1063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Egberg MD, Gulati AS, Gellad ZF, Melmed GY, Kappelman MD. Improving quality in the care of patients with inflammatory bowel diseases. Inflamm Bowel Dis. 2018;24(8):1660–9. doi: 10.1093/ibd/izy030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Al Khoury A, Balram B, Bessissow T, Afif W, Gonczi L, Abreu M, et al. Patient perspectives and expectations in inflammatory bowel disease: a systematic review. Dig Dis Sci. 2022;67(6):1956–74. doi: 10.1007/s10620-021-07025-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kernebeck S, Busse TS, Böttcher MD, Weitz J, Ehlers J, Bork U. Impact of mobile health and medical applications on clinical practice in gastroenterology. World J Gastroenterol. 2020;26(29):4182–97. doi: 10.3748/wjg.v26.i29.4182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Davis SP, Ross MSH, Adatorwovor R, Wei H. Telehealth and mobile health interventions in adults with inflammatory bowel disease: a mixed-methods systematic review. Res Nurs Health. 2021;44(1):155–72. doi: 10.1002/nur.22091. [DOI] [PubMed] [Google Scholar]
  • 47.Walsh A, Travis S. What’s app? Electronic health technology in inflammatory bowel disease. Intest Res. 2018;16(3):366–73. doi: 10.5217/ir.2018.16.3.366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Yin AL, Hachuel D, Pollak JP, Scherl EJ, Estrin D. Digital health apps in the clinical care of inflammatory bowel disease: scoping review. J Med Internet Res. 2019;21(8):e14630. doi: 10.2196/14630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Liu EY, Crawford J, Worobetz L, Bhasin S. A148 smartphone apps for IBD disease management: a quantitative evaluation. J Can Assoc Gastroenterol. 2018;1(Suppl 1):254–5. doi: 10.1093/jcag/gwy008.149. [DOI] [Google Scholar]
  • 50.Maeda Y, Kudo SE, Mori Y, Misawa M, Ogata N, Sasanuma S, et al. Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video) Gastrointest Endosc. 2019;89(2):408–15. doi: 10.1016/j.gie.2018.09.024. [DOI] [PubMed] [Google Scholar]
  • 51.Gubatan J, Levitte S, Patel A, Balabanis T, Wei MT, Sinha SR. Artificial intelligence applications in inflammatory bowel disease: emerging technologies and future directions. World J Gastroenterol. 2021;27(17):1920–35. doi: 10.3748/wjg.v27.i17.1920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Tontini GE, Rimondi A, Vernero M, Neumann H, Vecchi M, Bezzio C, et al. Artificial intelligence in gastrointestinal endoscopy for inflammatory bowel disease: a systematic review and new horizons. Therap Adv Gastroenterol. 2021;14:17562848211017730. doi: 10.1177/17562848211017730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Stidham RW, Takenaka K. Artificial intelligence for disease assessment in inflammatory bowel disease: how will it change our practice? Gastroenterology. 2022;162(5):1493–506. doi: 10.1053/j.gastro.2021.12.238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Dulai PS, Singh S, Ohno-Machado L, Sandborn WJ. Population health management for inflammatory bowel disease. Gastroenterology. 2018;154(1):37–45. doi: 10.1053/j.gastro.2017.09.052. [DOI] [PubMed] [Google Scholar]
  • 55.Aliyu A, Abdullah AH, Kaiwartya O, Hussain Madni SH, Joda UM, Ado A, et al. Mobile cloud computing: taxonomy and challenges. J Comp Netw Commun. 2020;2020(1):2547921. doi: 10.1155/2020/2547921. [DOI] [Google Scholar]
  • 56.Peñalvo FJ, Sharma A, Chhabra A, Singh SK, Kumar S, Arya V, et al. Mobile cloud computing and sustainable development: opportunities, challenges, and future directions. Int J Cloud Appl Comput. 2022;12(1):1–20. doi: 10.4018/ijcac.312583. [DOI] [Google Scholar]
  • 57.Hanauer SB. Inflammatory bowel disease. N Engl J Med. 1996;334(13):841–8. doi: 10.1056/nejm199603283341307. [DOI] [PubMed] [Google Scholar]
  • 58.Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. NPJ Digit Med. 2021;4(1):144. doi: 10.1038/s41746-021-00517-1. [DOI] [PMC free article] [PubMed] [Google Scholar]

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