Self-management App Research Articles

Mobile apps for diabetes self-management: An updated review of app features and effectiveness.

Self-management of diabetes is extremely challenging and non-adherence is common. Health consequences are significant for those unable to adhere to the complex treatment regimen, which includes regular oral medication and/or insulin use, frequent blood sugar checks, strict dietary management, and regular physical activity. Mobile applications (apps) present a tremendous opportunity to help patients improve adherence to these behaviors. The availability of commercial diabetes self-management apps is increasing exponentially, making it difficult for patients and providers to stay informed about app options and benefits. Previous reviews have described commercial diabetes apps and their features and usability for patients with diabetes. A smaller number have reviewed the effectiveness of these apps in improving blood glucose as well as other aspects of diabetes management. The aim of this article is to update our 2016 review, summarize the results of new reviews, review outcomes of diabetes apps described in the literature, and offer recommendations for app features, effectiveness research, and marketing in apps for diabetes self-management. Although higher-quality research is needed, current reviews suggest that many diabetes apps are effective in lowering HbA1c. Recommendations for future research include reporting critical details such as patient demographics and intervention elements and designing studies to identify the most effective components of diabetes management apps. Furthermore, clearly labeling apps that have data supporting clinical efficacy in app stores would allow both providers and patients to easily identify apps that might be most beneficial. Future research should explore the use of apps for the prevention of diabetes in individuals diagnosed with prediabetes.

Self-management app usage and expectations by patients with heart failure: results of a qualitative study

Abstract Background Effective self-care in heart failure (HF) is essential to prevent acute deterioration and improve treatment adherence and quality of life. The supportive role of eHealth is becoming increasingly important to alert HF patients to changes in symptoms and take greater responsibility for maintaining or improving their state of health. Integrating the expectations, perceptions, and impression of HF patients into the design, customization, and utilization of self-care apps is crucial to ensure sustainable and beneficial implementation of such solutions. Purpose To explore patients' with HF expectations, their usage, and first impressions towards a self-care app. Methods The self-care app developed could monitor HF symptoms, provide education via e-learning modules, and telemedical services including regular checkups, recommendations, and feedback from healthcare professionals (HCP). Patients from four clinical sites in Europe, Germany (DE), United Kingdom (UK), Ireland (IRL), Netherlands (NL), who had used this app were invited to participate in a semi-structured interview. These were recorded, transcribed, and analysed by two researchers based on qualitative content analysis according to Mayring. Results In total 32 male and 6 female HF patients aged between 32 and 84 years (66±13) were interviewed (see figure 1). Average duration was 34 minutes. Most patients had used the app for 1-2 weeks at time of the interview. Most patients planned to use the app 2-3 times a week and integrate it into their daily routines. Patients expressed a preference for sessions (regular checkups, e-learnings) not to exceed 10 minutes. Patients believed features like reminders, gamification, and direct feedback from the app could positively influence their behaviour. Conversely, technical issues, too frequent data entry or repetitive questioning were perceived as negative. In case the app could give medical advice, some patients (n=12) indicated that they would only follow the app's recommendations after consulting an HCP. Overall, patients expected the app to provide continuous monitoring and an early warning system to detect and counteract deterioration at an early stage. They deemed the combination of telemedical services and patient records to be particularly valuable. Moreover, patients expected the app to serve as an information source on HF and believed it could increase their motivation and self-discipline for better self-care and therapy adherence (see figure 2). Conclusion The results show that HF patients consider eHealth apps to be valuable tools for autonomously monitoring and improving their health. However, behaviour and acceptance can be encouraged or inhibited depending on the functionalities and design of the app. The findings underline the increasing relevance of eHealth solutions, such as a self-care app in healthcare and emphasize the necessity of considering patients' needs and preferences during the development.Functions with the greatest benefit

Adolescent and young adult sleep and sleep-related behaviour change before and during the COVID-19 pandemic lockdown in Canada

ABSTRACT Background Sleep disturbance is common in adolescents and young adults (AYAs), impacted by stress and academic/scheduling demands that conflict with biological phase delay. COVID-19 lockdowns allowed us to study sleep in AYAs when there are lessened scheduling demands. Additionally, we could test whether a sleep self-management app was helpful during lockdowns. Method AYAs (ages 15–24 years) before (Pre-Lockdown; n = 65) and during lockdowns in Canada (Lockdown; n = 40) completed sleep diaries on the app; set goals based on generated feedback; and completed more sleep diaries pursuing whatever post-feedback goals they set. Results The Lockdown group reported later and less variable rise times (RT) and spent more time in bed (TIB), both awake and asleep. Pre-Lockdown set a goal to reduce RT variability whereas Lockdown set a goal to decrease TIB, and AYAs made behaviour changes to meet their goals. For both groups, sleep onset, duration of awakenings, sleep duration and efficiency, and insomnia severity significantly improved at endpoint. Conclusions AYAs slept differently during lockdowns, perhaps due to decreased scheduling. The pandemic revealed the need for accessible strategies to improve sleep health. Findings support the feasibility of using evidence-based apps, and that AYAs can effectively use self-management tools across variable global and social contexts to improve their sleep.

Demand Analysis of Self-Management Mobile Health Applications for Middle-Aged and older Patients with Chronic Kidney Disease Based on the Kano Model.

Middle-aged and older individuals often face significant challenges in adopting digital health solutions, leading to a digital divide that hinders their ability to benefit from mobile health (mHealth) interventions. This study aims to investigate the specific requirements of middle-aged and older patients with chronic kidney disease (CKD) for self-management through mobile health applications (mHealth apps), using the Kano model. A multicenter cross-sectional survey was conducted from April to September 2023 in five hospitals across Sichuan, Shandong, Guangdong, and Shaanxi provinces in China. The Kano model was employed to analyze participants' preferences regarding mHealth apps for self-management. Out of 359 participants (57.1% men, predominantly aged 45-54), the study identified essential and desirable features for mHealth apps. Essential attributes include comprehensive CKD information and robust privacy protection. Key to enhancing user satisfaction are features like symptom and medication management, access to medical insurance information, and app interface simplicity. Additional attractive features for increasing app appeal include diet management, exercise guidance, and customizable text size. This study identifies critical mHealth app features for self-management in middle-aged and older CKD patients, emphasizing the importance of user-centric design. The findings provide valuable insights for app developers to create tailored solutions that cater to the specific needs of this demographic, potentially enhancing their self-management capabilities.

Public mobile chronic obstructive pulmonary disease applications for self-management: Patients and healthcare professionals' perspectives.

Poorly controlled chronic obstructive pulmonary disease (COPD) can negatively impact quality of life but mobile applications (apps) are popular digital tools that may mitigate these support needs. However, it is unclear if public mobile COPD apps are acceptable to healthcare professionals and patients, people living with COPD. Objectives: The primary objective is to determine people with COPD and healthcare professionals' perspectives on the appropriateness of public mobile COPD apps for supporting individuals' needs. The secondary objectives were to identify the ideal features and styles of mobile COPD apps for COPD self-management; and to identify the facilitators, barriers and needs for future COPD app research and development. Methods: Public mobile COPD apps were rated by questionnaires administered before and after focus group meetings. Ratings were reported as medians with interquartile ranges and median scores were categorized into three levels of appropriateness: 1-3 for inappropriate; 4-6 for uncertain; and 7-9 for appropriate. Results: A total of 6 people with COPD (mean age 68.2 ± 4.8years) and 22 healthcare professionals (mean age 45 ± 8.3years) completed this study. People with COPD identified one and healthcare professionals identified three public mobile COPD apps to be appropriate. They had different preferences for features and engagement styles but similar preferences for facilitators and barriers to use. Stakeholders mutually rated one public mobile COPD app as appropriate for self-management and emphasized the need for apps to be supplementary and customizable, rather than replacements for clinical management.

MHealth Apps for Hypertension Self-Management: Interview Study Among Patient-Users.

Hypertension is a major risk factor for cardiovascular disease, affecting over a billion people worldwide. Mobile health (mHealth) apps have emerged as effective tools for managing hypertension, offering capabilities for monitoring blood pressure, fostering lifestyle changes, and improving treatment adherence. This study aimed to explore patient-users' perspectives on the hypertension care mHealth app Hypertension.APP, focusing on its accessibility, expected benefits, potential risks, and role in hypertension management in Germany. A qualitative study was conducted involving semistructured interviews with 20 patient-users of a hypertension care mHealth app, Hypertension.APP. Participants were recruited between January and June 2023 using purposive sampling. Verbatim transcripts were analyzed using qualitative content analysis. Participants primarily discovered the app independently, driven by recent hypertension diagnoses and insufficient information from health care professionals regarding effective self-management strategies for their blood pressure. They valued the app for its continuous monitoring and feedback capabilities, aiding in understanding their condition and making lifestyle adjustments. Risks were perceived as minimal, mainly concerning data privacy and potential overreliance on the app. The app became integral to patient-users' hypertension management by offering consistent information and support. The integration into formal health care was limited, as patient-users felt that health care professionals did not accept the use of the technology or might have even felt intimidated to use it. Among the sample studied, mHealth apps like Hypertension.APP were valued for their continuous monitoring and educational content, aiding in hypertension management. The findings suggest potential benefits of mHealth apps for effective hypertension care among patients who are health- and digitally literate as well as self-effective. There is a critical need for better integration of these apps into routine health care practices, as perceived by the app users. Given the small and specific sample of this qualitative study, further quantitative research with a broader and more varied participant group is necessary to validate these findings. Deutsches Register Klinischer Studien DRKS00029761; https://tinyurl.com/r33ru22s.

Stakeholder perspectives on managing the adolescent sleep crisis using a transdiagnostic self-management app for sleep disturbances: A qualitative follow-up study.

Sleep problems are diverse and pervasive among the adolescent population. Current sleep health interventions are ill-equipped to address the sleep crisis. We developed DOZE (Delivering Online Zzz's with Empirical Support), which is a self-management evidence-based app for sleep disturbances. In an initial study, we found that DOZE was perceived as an acceptable and effective support for teen sleep. In a qualitative follow-up study, we engaged with students and other stakeholders to understand their experiences with implementing, disseminating, and using DOZE. The study employed a combination of qualitative surveys and semi-structured interviews to students (n = 21) and stakeholders (teachers, social workers, and researchers; n = 5), respectively. Reflexive thematic analysis was used to identify themes related to experiences implementing and engaging with the app. Students reported increased sleep regularity and sleep duration after using DOZE. Facilitators included greater integration of the app with school curriculum, timing of implementation, and researcher involvement in supporting knowledge dissemination and engagement. Barriers included worries about phone use at night and normalized poor sleep patterns among adolescents. There is need to identify ways to support implementation and engagement in different communities. Researchers continue to engage with stakeholders to support timely access to sleep health interventions for adolescents.

MOBILE HEALTH APPS FOR THE SELF-MANAGEMENT OF LOW BACK PAIN: SYSTEMATIC SEARCH IN APP STORES AND CONTENT ANALYSIS

Purpose and BackgroundClinical practice guidelines (CPGs) recommend self-management for low back pain (LBP). Our recent narrative review on self-management needs revealed a consensus with respect to the critical components of self-management interventions. With mobile health advancements, apps offer innovative support for LBP management. This study aims to identify current apps for the self-management of LBP, assessing them for their quality, intervention content, theoretical approaches, and risk management approaches.Methods and ResultsWe identified 69 apps for LBP self-management from a systematic search in the UK iTunes and Google Play stores. The most recommended interventions are muscle stretching (n=51, 73.9%), muscle strengthening (n=42, 60.9%), and core stability exercises (n=32, 46.4%). The average MARS (SD) overall score for the included apps was 2.4 (0.44) out of a possible 5 points, with the engagement and information dimension scoring the lowest at 2.1. In terms of theoretical and risk management approaches, no apps offered a theoretical care model and all failed to specify the age group targeted; only one (1.4%) provided a tailored care approach; 18 (26.1%) included intervention progression; and 11 (15.9%) reported management safety checks.ConclusionThis study shows that app developers generally select interventions endorsed by CPGs. However, the application of a biopsychosocial care model is not being considered. Most of them are of low quality, lacking theoretical approaches to care and consideration of associated risks. It is essential to involve clinicians and patients in developing LBP self-management apps to improve the quality and related approach.Conflicts of interestNoneSources of fundingNo funding obtainedThis study has been published in JMIR mHealth and uHealth.

A REALIST EVALUATION OF A SELF-MANAGEMENT APP TO HELP PEOPLE WITH CHRONIC LOW BACK PAIN

BackgroundMobile apps have shown promise in helping people to self-manage conditions like chronic low back pain (CLBP). However, it is unclear who benefits most, why, and under what circumstances. This limits our understanding of how to maximize the potential of mobile app technology.AimThis study aimed to test and refine programme theories about how mobile apps support people to self-manage CLBP in a real-world setting. The theories were based on a previously published realist review.MethodsA realist evaluation was conducted using one-to-one realist interviews by telephone with participants who had used the Curable app to self-manage their CLBP for three months. The interviews were guided by programme theories from the realist review. Analysis of the interviews used abductive and retroductive logic to create chains of inferences, which were then developed into context-mechanism-outcome configurations (CMOCs). These CMOCs offered causal explanations about who might benefit from a mobile app to self-manage CLBP, why and in what circumstances.ResultsTen interviews were conducted (nine with people with CLBP who trialled the app and one with a founding member of Curable LLC). Twenty CMOCs were created that identified key mechanisms such as agency, control and reassurance that interact with contextual factors such as acceptance, internal capacity, and a biopsychosocial approach to pain management. These factors influence whether a person with CLBP will benefit from a mobile app for self-management.ConclusionsTwenty CMOCs were created to support three programme theories centering around concepts of empowerment, burden of care, and timing.Conflicts of interestNoneSources of fundingR Hunter's work was supported by the Inverness and Highland City-Region Deal Studentship Award [2018].Presented at: 13th Congress of the European Pain Federation (EFIC), September 2023, Budapest, Hungary.

Value of a quality label and European healthcare professionals' willingness to recommend health apps: An experimental vignette study.

This study aimed to evaluate healthcare professionals' (HCPs') willingness to recommend health apps presented with versus without the CEN-ISO/TS 82304-2 health app quality label. The study was an experimental vignette study describing 12 short hypothetical scenarios, with Label (absent vs present) as a between and Type of App (prevention vs self-monitoring vs healthcare) and Patient Socioeconomic Status (low vs high) as within-subjects factors. The main outcome measure was HCPs' willingness to recommend apps. A total of 116 HCPs took part in the study. A significant main effect of the label was found. Further, HCPs were most willing to recommend self-management apps and more willing to recommend apps to high as opposed to low SES patients. However, the effect of the label did not differ between apps or according to patients' SES. Results confirm that the quality label has potential for increasing willingness to changing HCPs' recommendation behavior.

Towards an AI-driven selfmanagement app for patients with hip and knee osteoarthritis: development of a theory-driven model as a first step

Towards an AI-driven selfmanagement app for patients with hip and knee osteoarthritis: development of a theory-driven model as a first step

Persian Mobile Apps for Diabetic Patients: App Review and Evaluation Study

Background: The development of mobile apps in healthcare facilities helps users perform self-care effectively. Objectives: This study aimed to evaluate the quality, functionality, and features of Persian language diabetes mobile apps. Methods: Persian language diabetes self-management mobile apps were searched in the Android and iOS App Stores using relevant keywords such as "diabetes" and "blood sugar." Twelve apps met the inclusion criteria. Nine evaluators assessed the apps' quality based on the Mobile App Rating Scale (MARS), their functionality according to the IMS institute for healthcare informatics app functionality scoring system, and their features and content using a checklist. Results: The mean MARS score of the apps was 3.02 out of 5. Among the four dimensions of engagement, aesthetics, functionality, and information quality, functionality had the highest mean ± SD score (3.64 ± 1.13). Most of the apps used 5 - 7 out of the 11 defined functionalities. All self-management apps included the functionality of monitoring blood glucose levels, and the majority had health status monitoring features. Conclusions: The mobile apps had several drawbacks, including a lack of engagement strategies, insufficient evidence-based information for patients, limited guideline-based self-management functionalities, failure to evaluate clinical effectiveness in trials, and an absence of mutual communication with healthcare providers.

A Tailored Self-Management App to Support Older Adults with Cancer and Multi-Morbidities: Development and Usability Testing.

Cancer self-management interventions improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multi-morbidities. Despite growing evidence of digital health tools in cancer care, many such tools have not been co-designed with older adults to ensure that they are tailored to their specific needs. The objective of the study was to design a self-and symptom-management app to support older adults with cancer and multi-morbidities. Utilizing a user-centered design thinking framework, we recruited 2 caregivers and 18 older adults with lived experiences of cancer to design a medium-fidelity app prototype. Participants highlighted the importance of tracking functions to make sense of the information about their symptoms, clear displays, and reminders to mitigate concerns related to polypharmacy. This app will create a 'home base' for symprtom management and support for older adults with cancer and multi-morbidities.

An Artificial Intelligence-Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial.

Self-management is endorsed in clinical practice guidelines for the care of musculoskeletal pain. In a randomized clinical trial, we tested the effectiveness of an artificial intelligence-based self-management app (selfBACK) as an adjunct to usual care for patients with low back and neck pain referred to specialist care. This study is a process evaluation aiming to explore patients' engagement and experiences with the selfBACK app and specialist health care practitioners' views on adopting digital self-management tools in their clinical practice. App usage analytics in the first 12 weeks were used to explore patients' engagement with the SELFBACK app. Among the 99 patients allocated to the SELFBACK interventions, a purposive sample of 11 patients (aged 27-75 years, 8 female) was selected for semistructured individual interviews based on app usage. Two focus group interviews were conducted with specialist health care practitioners (n=9). Interviews were analyzed using thematic analysis. Nearly one-third of patients never accessed the app, and one-third were low users. Three themes were identified from interviews with patients and health care practitioners: (1) overall impression of the app, where patients discussed the interface and content of the app, reported on usability issues, and described their app usage; (2) perceived value of the app, where patients and health care practitioners described the primary value of the app and its potential to supplement usual care; and (3) suggestions for future use, where patients and health care practitioners addressed aspects they believed would determine acceptance. Although the app's uptake was relatively low, both patients and health care practitioners had a positive opinion about adopting an app-based self-management intervention for low back and neck pain as an add-on to usual care. Both described that the app could reassure patients by providing trustworthy information, thus empowering them to take actions on their own. Factors influencing app acceptance and engagement, such as content relevance, tailoring, trust, and usability properties, were identified. ClinicalTrials.gov NCT04463043; https://clinicaltrials.gov/study/NCT04463043.

User Acceptability Testing of Mobile Application in Indian Local Languages for Cardiovascular Risk Stratification and Modification among Patients with Type 2 Diabetes

Introduction: Cardiovascular disease is the leading cause of death in patients with type 2 diabetes. Digital health tools like mobile application have fast emerged as a technology capable of closing the gap in cardiovascular disease self- management and revolutionizing the way healthcare is traditionally delivered. One of the causes for low app engagement of Apps in India is perhaps that few of these apps are available in local languages. The goal is to reach as many diabetic patients as possible while avoiding linguistic hurdles.  Methodology: The ‘healthy heart’ mobile app was developed and translated into Hindi and Marathi languages for CVD risk stratification and risk management among Type 2 diabetes mellitus patients. User acceptability testing of the app on its design, presentation, content, and user- friendliness was undertaken. The feedback on utility of the app for CVD risk stratification and modification was assessed. A total 100 multilingual app users profile were noted for CVD Risk Status, Life Style Practices and CVD Risk Factors.  Results: The Healthy Heart multi-lingual app was successfully developed for CVD risk classification and risk management among Type 2 diabetes mellitus patients. The patients had the choice to select the desired language of the app from the versions available in English, Hindi and Marathi. The Mobile App's Home Screen displayed the CVD risk score and category, a health tracker to monitor compliance with WHO recommendations regarding diet, physical activity, addictions, medication adherence, diabetic, and CVD Risk Profile. The majority of respondents rated the App's design, presentation, content, and user- friendliness favorably and emphasized the utility of App for CVD self-management and risk reduction. Characteristics of Type 2 Diabetic patients demonstrated poor compliance for total fruits and vegetable intake, total fat intake and total salt intake, physical activity Guidelines apart from poor control for blood pressure, glycemic control and lipid targets.  Conclusion: The multilingual mobile App for CVD risk stratification, self-management and CVD risk reduction among diabetic patients was successfully developed in Hindi and Marathi language. User acceptability testing results were found to be favorable for the mobile app.

The Efficacy of the Smartphone App for the Self-Management of Low Back Pain: A Systematic Review and Assessment of Their Quality through the Mobile Application Rating Scale (MARS) in Italy.

Smartphone apps for self-management are valuable tools to help manage low back pain (LBP) patients. The purposes of this systematic review were to (a) summarize the available studies on the efficacy of smartphone apps for self-management of LBP and (b) identify free applications available in Italy that offer strategies for LBP self-management and provide a qualitative assessment using the Mobile Application Rating Scale (MARS). According to the Prisma Checklist, six bibliographic databases were searched with the keywords 'low back pain', 'mobile application', 'smartphone', and 'telemedicine'. In total, 852 records were screened, and 16 were included in the systematic review. Of the six RCTs included, four reported a statistically significant decrease in pain in favor of the app group, and two RCTs did not. Only in a non-RCT was there an increase in the disability score. In the application research conducted on mobile stores, we identified and rated 25 applications through MARS. The overall scores ranged from 1.93 to 3.92 for the IOS app and 1.73 to 4.25 for the Play Store app. The findings suggest that few apps meet satisfying quality, content, and functionality criteria for LBP self-management.

Factors influencing the use of an artificial intelligence-based app (selfBACK) for tailored self-management support among adults with neck and/or low back pain

Purpose Tailored self-management support is recommended as first-line treatment for neck and low back pain, for which mHealth applications could be promising. However, there is limited knowledge about factors influencing the engagement with such apps. The aim of this study was to assess barriers and facilitators for engaging with a self-management mHealth app among adults suffering from neck and/or low back pain. Materials and methods We carried out a qualitative descriptive study among adults with neck and/or low back pain. The artificial intelligence-based selfBACK app supports tailored self-management of neck and low back pain and was used for 6 weeks. After these 6 weeks, participants were interviewed by phone. Results Thirty-two adults (17 males) with neck and/or low back pain participated (mean age = 54.9 (SD = 15.8)). Our results show that the mode of delivery and the novelty of the selfBACK app were perceived most often as a barrier to use the app. The action plans of the app and health-related factors were perceived most often as facilitating factors. Conclusions This study provides insight into possible strategies to improve an mHealth service. Furthermore, it shows that adults with neck and/or low back pain are willing and ready to receive blended treatment.

Smartphone applications supporting self-management programme for adults with Chronic Obstructive Pulmonary Disease: A Scoping Review.

Chronic Obstructive Pulmonary Disease (COPD) significantly impacts on both the quality and quantity of life for patients due to frequent exacerbations requiring hospital admissions resulting in increased morbidity and mortality. A self-management programme purpose is to increase one's knowledge, confidence, and skills to self-manage their chronic illness such as COPD. The objective of this review will therefore answer the following research question: What is the current literature pertaining to the use of a smartphone app in supporting a comprehensive self-management programme among COPD patients? A preliminary search was conducted in, Medline, Embase and CINAHL databases to ascertain index terms and keywords. Following this a rigorous search was carried out on Medline, Embase, CINAHL, Web of Science and ASSIA. The findings from this search are presented in tabular form using the PRSIMA flow diagram. In this review, fifteen studies met the inclusion criteria. Across all studies participants engaged with the app and developed self-management skills and knowledge to manage their chronic illness. However, engagement with the app without third party involvement declined over time. Technical issues did not cause harm to participants but in some cases contributed to reduced engagement. Smartphone self-management apps empowered a cohort of COPD participants to engage in managing their chronic illness which proved useful in detecting exacerbations earlier resulting in reducing the need for hospitalisations over a three-to-six-month period. By reducing hospitalisations incurred a cost savings for health care and an improved quality and quantity of life for these participants. It is evident from the literature that smartphone self-management apps may positively influence participants self-management decisions in terms of knowledge, increase physical activity, self-efficacy that may result in reduced hospitalisation and improved quality of life. It is clear that technical issues and sustained engagement over longer periods of time remains a challenge.

Perceptions of utilizing a symptom self-management app for breast cancer patients receiving outpatient chemotherapy

PurposeBreast cancer (BC) patients who are undergoing outpatient chemotherapy encounter difficulties in symptom self-management at home. We have developed a mobile app with the support of self-regulation activities and nurse-led social service to empower self-management of BC patients during outpatient chemotherapy. The study aimed to explore the perceptions of breast cancer patients and nurses in utilizing an app with the functions of proactive nursing support and empowerment. MethodsThis is a qualitative study including group interviews with nurses and patients with breast cancer receiving outpatient chemotherapy. A total of eleven patients and five nurses were enrolled from August 2022 to October 2022. Thematic analysis was adopted to analyze the interview transcripts. Main themes and related sub-themes were drawn from the transcripts. ResultsBarriers (the lack of a contractual spirit) and facilitators (social support and native high-adherence) to app usage were identified. Following the six-week program, patients underwent various transformations such as improved health awareness and a tendency to pay more attention to psychological symptoms. This program also led to various changes in the nurses, including a transformation from taking the reactive emergency calls to a proactive approach of incorporating a self-regulation process and social support. ConclusionsThe findings from the group interviews stressed the importance of integrating technology and nursing social support in facilitating patient symptom self-management.

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing.

Globally, cancer predominates in adults aged older than 60 years, and 70% of older adults have ≥1 chronic condition. Cancer self-management interventions can improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multimorbidity. Despite growing evidence of digital health tools in cancer care, there is a paucity of theoretically grounded digital self-management supports for older adults. Many apps for older adults have not been co-designed with older adults to ensure that they are tailored to their specific needs, which would increase usability and uptake. We aim to report on the user evaluations of a self- and symptom-management app to support older adults living with cancer and multimorbidity. This study used Grey's self-management framework, a design thinking approach, and involved older adults with lived experiences of cancer to design a medium-fidelity app prototype. Older adults with cancer or caregivers were recruited through community organizations or support groups to participate in co-designing or evaluations of the app. Data from interviews were iteratively integrated into the design process and analyzed using descriptive statistics and thematic analyses. In total, 15 older adults and 3 caregivers (n=18) participated in this study: 10 participated (8 older adults and 2 caregivers) in the design of the low-fidelity prototype, and 10 evaluated (9 older adults and 1 caregiver) the medium-fidelity prototype (2 older adults participated in both phases). Participants emphasized the importance of tracking functions to make sense of information across physical symptoms and psychosocial aspects; a clear display; and the organization of notes and reminders to communicate with care providers. Participants also emphasized the importance of medication initiation or cessation reminders to mitigate concerns related to polypharmacy. This app has the potential to support the complex health care needs of older adults with cancer, creating a "home base" for symptom management and support. The findings from this study will position the researchers to conduct feasibility testing and real-world implementation.