Nurses Say Health Apps Need Trust, Accessibility and Seamless Medical-Record Links Before They Can Transform Chronic-Care
Mobile health applications are often promoted as pocket-sized tools capable of reshaping chronic-disease care. They can record blood-glucose readings, weight, sleep, physical activity, symptoms and medication use, while also delivering educational material or connecting patients with clinicians. But a qualitative study of Australian nurses suggests that the success of these technologies will depend less on how many apps are available than on whether professionals can trust them, patients can realistically access them and the information they collect can flow into healthcare systems. The findings, published in Nursing Open, reveal that nurses weigh a complex mixture of clinical, ethical and technical questions before recommending an app to someone living with, or at risk of, a chronic condition.
The research comes at a time when healthcare systems are under pressure from ageing populations, growing rates of chronic illness, socioeconomic inequality and the continuing demand for services outside traditional clinics. Many chronic conditions can be prevented or managed more effectively through sustained changes in behaviour, including increased physical activity, healthier eating, smoking cessation and reduced alcohol consumption. Apps appear well suited to this task because smartphones can provide continuous, low-cost opportunities for monitoring and feedback between appointments. Previous research has linked some digital interventions with improved glycaemic control, medication adherence and cardiovascular outcomes. Yet an app is not automatically a medical intervention simply because it runs on a phone. Its usefulness depends on the quality of its content, the behaviour of its users, the support available from professionals and the safety of the data it generates.
To understand how nurses make these judgments, Wa’ed Shiyab and colleagues interviewed 13 Australian nurses who provided direct care to adults living with or at risk of chronic conditions. The participants were recruited from a larger survey and included registered nurses, clinical nurse consultants, a nurse practitioner and a nurse educator. They worked across general practice, outpatient and community services, as well as a correctional centre and a hospital. Nine worked in metropolitan areas, three in rural areas and one in a remote setting. Twelve participants were women, and their mean age was 47.5 years, with ages ranging from 28 to 64. Individual interviews, conducted by videoconference between December 2022 and February 2023, lasted between 19 and 53 minutes.
The researchers transcribed the interviews word for word and used thematic analysis to identify recurring patterns. This approach does not test whether a particular app improves a clinical outcome, nor does it measure how frequently nurses recommend digital tools. Instead, it examines how participants understand a phenomenon and which considerations repeatedly shape their decisions. Four researchers reviewed the coding and reached consensus on the final interpretation, while the study was reported using the Consolidated Criteria for Reporting Qualitative Research. Two broad themes emerged: clinical considerations and technical considerations. The distinction is important because nurses did not view app recommendation as a simple matter of personal enthusiasm for technology. They considered whether a tool was clinically credible and appropriate for a particular patient, then whether its design and infrastructure made safe, sustained use possible.
Credibility and trustworthiness were central to the clinical judgment. Nurses said they were more likely to recommend an app developed with input from doctors, universities, hospitals or recognised health organisations. An app associated with a teaching hospital or a professional foundation offered a visible chain of responsibility: users could identify who created its information, why it was created and whether its recommendations were grounded in clinical knowledge. Endorsement alone, however, was not enough. Participants also wanted evidence-based content to be maintained as medical knowledge changed. An app that was accurate when launched could become misleading if guidelines, treatment recommendations or safety information were never revised. For nurses, regular updates were therefore not merely a software feature; they were part of clinical quality assurance. Without a process for reviewing and updating content, recommending an app could expose patients to information that no longer reflected best practice.
Access presented a second major concern, extending far beyond whether an app could be downloaded. Patients may need a compatible smartphone, a reliable internet connection, electricity for charging and, in some cases, additional devices such as a smartwatch or glucose-monitoring system. The cost of subscriptions, phones and connected sensors can exclude people who might benefit most from support with chronic disease. Some participants noted that technology costs are not necessarily reimbursed through existing healthcare arrangements, creating a risk that digital care could deepen inequalities between people who can afford current devices and those who cannot. Even patients who own smartphones may have older hardware or operating systems that cannot run a particular app. The problem is especially complicated across Android devices, where numerous manufacturers and models create a wide range of screen sizes, software versions and technical capabilities.
The nurses also challenged assumptions about who is likely to use digital health. Many apps are designed primarily for younger, English-speaking users, even though chronic conditions are common among older adults and culturally diverse populations. A genuinely accessible app may need adjustable font sizes, support for languages other than English, plain explanations of medical terms and interfaces tested with people who have different levels of digital and health literacy. Participants warned that clinicians can unintentionally reinforce exclusion by assuming that older patients are uninterested in technology. At the same time, personalisation must not mean simply adding more settings or more data fields. Nurses wanted recommendations to reflect each patient’s abilities, priorities, culture and willingness to engage. Excessive data entry, relentless alerts or pressure to record every lapse can turn self-management into another source of stress. The patient’s preferences, they argued, should be part of the clinical decision rather than an afterthought.
Technical safeguards were equally decisive. Nurses repeatedly questioned where patient data would travel, who would store it and whether it would be protected. Health apps may collect sensitive information about symptoms, medication, mental state, location, physical activity or biometric measurements. Once transmitted to cloud servers or third-party platforms, that information can pass through systems that patients and clinicians may not fully understand. Participants were concerned that workplace policies and privacy legislation had not always kept pace with mobile technology, leaving uncertainty about responsibilities when data move between an app, a device manufacturer and a healthcare provider. In practical terms, nurses may hesitate to recommend an app when they cannot explain its data practices or assure patients that information will remain confidential. Transparency about collection, storage, sharing and deletion is therefore a prerequisite for trust, not a technical detail hidden in legal documentation.
Usability determined whether an app could survive contact with daily life. Nurses favoured intuitive navigation, simple interfaces, clear instructions and minimal manual entry. They described unnecessary demographic questions, repeated authentication steps, confusing screens and frequent alarms as reasons an app might be abandoned. Authentication is essential for protecting health information, but cumbersome login procedures can create friction, especially for users with limited digital confidence, impaired vision or cognitive difficulties. Notifications also have a dual role: reminders can reinforce medication-taking or encourage activity, but too many alerts can become noise. Effective design should give users control over the timing, frequency and type of notifications. The researchers’ findings align with a basic principle of human-computer interaction: every additional task consumes attention, and an intervention that demands more effort than a patient can sustain is unlikely to produce long-term behaviour change.
The sheer number of available apps created another obstacle. Nurses described difficulty distinguishing useful tools from the thousands of products competing for attention, particularly because only a fraction may have been tested or validated. For someone managing several conditions—such as chronic obstructive pulmonary disease, diabetes, high blood pressure, heart disease or the consequences of stroke—the promise of an app for each diagnosis can become a logistical burden. Multiple applications may duplicate functions, require separate passwords and produce disconnected streams of data. A more practical solution could be a multimorbidity-focused platform that supports medication management, symptoms and lifestyle goals across conditions without forcing patients to maintain a collection of separate tools. But consolidation alone will not solve the problem unless the platform is clinically reliable, secure and flexible enough to reflect individual needs.
Interoperability—the ability of different digital systems to exchange and interpret information—was the final technical issue. Nurses questioned the value of collecting detailed patient data if clinicians could not see it or use it during care. In technical terms, interoperability requires more than exporting a spreadsheet. Systems must use compatible data formats, shared standards, secure interfaces and agreed rules for who can access information and how it is interpreted. When an app can connect to an electronic medical record, medication list or continuous glucose monitor, data may support earlier intervention and more focused consultations. A clinician working with patients in remote areas, for example, could review automatically uploaded glucose data before a scheduled appointment, identify potential problems and use the consultation to discuss the patient’s priorities rather than spend the entire visit reconstructing measurements. Without such links, however, data can remain trapped inside the app, generating effort without improving decisions.
The study does not establish that all mHealth apps are ineffective, and its small volunteer sample cannot represent every nurse or healthcare system. Participants who agreed to be interviewed may have held particularly strong views about digital technology, and videoconference interviews may have affected rapport. The researchers also gathered only nurses’ perspectives; patients were not involved, so the study cannot determine whether the concerns identified would lead patients to reject or embrace specific tools. Nonetheless, the findings offer a clear explanation for why positive attitudes toward digital health have not automatically translated into routine clinical recommendations. For mHealth to become a dependable part of chronic-care practice, developers and health organisations will need to pair evidence-based content with inclusive design, transparent privacy protections, affordable access and connections to clinical records. The study’s message is less that nurses are resisting innovation than that they are asking digital health to meet the same standards expected of any other component of patient care.
Subject of Research: Nurses’ considerations when recommending mobile health applications to people living with or at risk of chronic conditions
Subject of Research: Medicine
Article Title: Considerations for Nurses in Recommending mHealth Apps for People Living With Chronic Conditions: A Qualitative Study
Article References: Shiyab, W., Rolls, K., Ferguson, C., & Halcomb, E. (2026). Considerations for Nurses in Recommending mHealth Apps for People Living With Chronic Conditions: A Qualitative Study. Nursing Open, 13(7), Article e70598. https://doi.org/10.1002/nop2.70598
Image Credits: AI Generated
DOI: 10.1002/nop2.70598
Keywords: mHealth apps, chronic conditions, nursing, digital health, app usability, data privacy, health inequities, interoperability
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SCIENMAG. (August 28, 2026). What Nurses Consider When Recommending mHealth Apps to People With Chronic Conditions. https://scienmag.com/what-nurses-consider-when-recommending-mhealth-apps-to-people-with-chronic-conditions/
SCIENMAG. “What Nurses Consider When Recommending mHealth Apps to People With Chronic Conditions.” Scienmag, 28 August 2026, https://scienmag.com/what-nurses-consider-when-recommending-mhealth-apps-to-people-with-chronic-conditions/. Accessed 28 August 2026.
SCIENMAG. “What Nurses Consider When Recommending mHealth Apps to People With Chronic Conditions.” Scienmag. August 28, 2026. https://scienmag.com/what-nurses-consider-when-recommending-mhealth-apps-to-people-with-chronic-conditions/
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