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Benchmarking mobile applications for the health of people with Diabetes Mellitus * * The publication of this article in the Thematic Series “Digital health: nursing contributions” is part of Activity 2.2 of Reference Term 2 of the PAHO/WHO Collaborating Centre for Nursing Research Development, Brazil. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) - Finance Code 001, Brazil.

Objective:

to map the content and features of mobile applications on the management of Diabetes Mellitus and their usability on the main operating systems.

Method:

benchmarking research. The mapping of apps, content, and resources on the Play Store and App Store platforms was based on an adaptation of the Joanna Briggs Institute’s scoping review framework. For the usability analysis, the apps were tested for two weeks and the System Usability Scale instrument was used, with scores between 50-67 points being considered borderline, between 68-84, products with acceptable usability and above 85, excellent user acceptance and, for the analysis, descriptive statistics.

Results:

the most prevalent contents were capillary blood glucose management, diet, oral drug therapy, and insulin therapy. As for resources, diaries and graphs were the most common. With regard to usability, two apps were considered to have excellent usability; 34, products with acceptable usability; 29, the resource may have some flaws but still has acceptable usability standards and 6, with flaws and no usability conditions.

Conclusion:

the content and resources of mobile applications address the fundamental points for managing Diabetes Mellitus with user-friendly resources, with usability acceptable to users and have the potential to assist in the management of Diabetes Mellitus in patients’ daily lives.

Descriptors:
Diabetes Mellitus; Mobile Applications; eHealth Strategies; Telenursing; Health Promotion; Digital Inclusion


Objetivo:

mapear los contenidos y los recursos de los aplicativos móviles sobre el manejo de la Diabetes Mellitus y su usabilidad en los principales sistemas operacionales.

Método:

investigaciones de benchmarking . El mapeo de los apps , de los contenidos y recursos en las plataformas Play Store y App Store fue realizado a partir de una adaptación en la estructura de revisiones del objetivo del Joanna Briggs Institute. Para el análisis de la usabilidad, los aplicativos fueron comprobados por dos semanas; para esto, se utilizó el instrumento System Usability Scale , siendo que puntajes entre 50-67 puntos, son considerados limítrofes; entre 68-84, tienen usabilidad aceptable; y, arriba de 85, tienen excelente aceptación por el usuario y para realizar análisis estadística descriptiva.

Resultados:

los contenidos más prevalentes fueron el manejo de la glucemia capilar, alimentación, terapia medicamentosa oral e insulinoterapia. En cuanto a los recursos se obtuvo mayor frecuencia de diarios y gráficos. En relación a la usabilidad, 2 apps fueron considerados de excelente aceptación; 34, productos con usabilidad aceptable; 29, los apps pueden presentar algunas fallas, sin embargo tiene estándares de usabilidad todavía aceptables; y, 6 presentaron fallas sin condiciones de usabilidad.

Conclusión:

los contenidos y los recursos de aplicativos móviles abordan los puntos fundamentales para el manejo de la diabetes mellitus, con recursos de fácil utilización, usabilidad aceptable por los usuarios y con potencial para auxiliar en el manejo de la diabetes mellitus, en el día a día de los pacientes.

Descriptores:
Diabetes Mellitus; Aplicaciones Móviles; eHealth Strategies; Teleenfermería; Promoción de la Salud; Inclusión Digital


Objetivo:

mapear os conteúdos e os recursos dos aplicativos móveis sobre o manejo da Diabetes Mellitus e sua usabilidade nos principais sistemas operacionais.

Método:

pesquisa de benchmarking . O mapeamento dos apps , dos conteúdos e dos recursos nas plataformas Play Store e App Store foi realizado a partir de uma adaptação na estrutura de revisões de escopo da Joanna Briggs Institute. Para a análise da usabilidade, os aplicativos foram testados por duas semanas e utilizou-se o instrumento System Usability Scale , sendo que escores entre 50-67 pontos, é considerado limítrofe, entre 68-84, produtos com usabilidade aceitável e acima de 85, excelente aceitação pelo usuário e, para a análise, estatística descritiva.

Resultados:

os conteúdos mais prevalentes foram o manejo da glicemia capilar, alimentação, terapia medicamentosa oral e insulinoterapia. Quanto aos recursos, obteve-se a maior frequência de diários e gráficos. Em relação à usabilidade, dois apps foram considerados de excelente aceitação; 34, produtos com usabilidade aceitável; 29, o recurso pode apresentar algumas falhas, mas tem padrões de usabilidade ainda aceitáveis e 6, com falhas sem condições de usabilidade.

Conclusão:

os conteúdos e os recursos de aplicativos móveis abordam os pontos fundamentais para o manejo da Diabetes Mellitus com recursos de fácil utilização, com usabilidade aceitável pelos usuários e tem potencial para auxiliar no manejo da Diabetes Mellitus no dia a dia dos pacientes.

Descritores:
Diabetes Mellitus; Aplicativos Móveis; Estratégias de eSaúde; Telenfermagem; Promoção da Saúde; Inclusão Digital


Highlights:

(1) The usability of digital platform apps was systematically evaluated.

(2) Most apps for people with Diabetes Mellitus have good usability.

(3) The study provides an overview of the features available in the apps.

(4) The apps have the potential to help in the management of Diabetes Mellitus.

(5) The apps should be evaluated by reliability criteria for recommendation.

Introduction

Diabetes Mellitus (DM) can lead to serious health complications in all age groups, including young people, and these complications are the main reasons for the worsening quality of life, disability, and death of people with DM ( 11. Tomic D, Shaw JE, Magliano DJ. The burden and risks of emerging complications of diabetes mellitus. Nat Rev Endocrinol. 2022;18:525-39. https://doi.org/10.1038/s41574-022-00690-7
https://doi.org/10.1038/s41574-022-00690...
- 22. Gregory GA, Robinson TIG, Linklater SE, Wang F, Colagiuri F, Beaufort C, et al. Global incidence, prevalence, and mortality of type 1 diabetes in 2021 with projection to 2040: a modelling study. Lancet Diabetes Endocrinol. 2022;10(10):741-60. https://doi.org/10.1016/S2213-8587(22)00218-2
https://doi.org/10.1016/S2213-8587(22)00...
) .

The health management of people with DM should prioritize the establishment of a healthy lifestyle with habits and practices that favor well-being and coping with the challenges of everyday life ( 33. Alexandre K, Campbell J, Bugnon M, Henry C, Schaub C, Serex M, et al. Factors influencing diabetes self-management in adults: an umbrella review of systematic reviews. JBI Evid Synth. 2021;19(5):1003-118. https://doi.org/10.11124/jbies-20-00020
https://doi.org/10.11124/jbies-20-00020...
) . Such management requires multiple responsibilities on the part of the person in terms of self-management of their daily life, awareness of self-concept, development of autonomy, management of social relationships and roles in the work environment, affective relationships and emotional responses, and support; as well as others that require strong professional monitoring, such as those related to safety and adherence to drug treatment, variations in blood glucose and any biological or drug responses ( 33. Alexandre K, Campbell J, Bugnon M, Henry C, Schaub C, Serex M, et al. Factors influencing diabetes self-management in adults: an umbrella review of systematic reviews. JBI Evid Synth. 2021;19(5):1003-118. https://doi.org/10.11124/jbies-20-00020
https://doi.org/10.11124/jbies-20-00020...
) .

There are indications in the literature that the use of technologies for DM improves health outcomes by reducing barriers to accessing health guidance, especially through mobile devices; with free access and centralization of functions in just one device that can promote autonomy and facilitate disease management. In addition, these technologies can make a positive contribution to decision-making on blood glucose monitoring and management, automating everyday processes or improving the solution to health-related problems ( 44. Marcelo CAS, Coutinho MAP, Lara CR, Paraizo CMS, Fava SMCL. Mobile applications on Diabetes Mellitus - Narrative Review. J Health Inform [Internet]. 2020 [cited 2023 Nov 19];12(02):64-7. Available from: https://jhi.sbis.org.br/index.php/jhi-sbis/article/view/726/386
https://jhi.sbis.org.br/index.php/jhi-sb...

5. Majeed W, Thabit H. Closed-loop insulin delivery: current status of diabetes technologies and future prospects. Expert Rev Med Devices. 2018;15(8):579-90. https://doi.org/10.11124/jbies-20-00020
https://doi.org/10.11124/jbies-20-00020...

6. Fontecha J, González I, Barragán A, Lim T. Use and Trends of Diabetes Self-Management Technologies: A Correlation-Based Study. J Diabetes Res. 2022;7:5962001. https://doi.org/10.1155/2022/5962001
https://doi.org/10.1155/2022/5962001...
- 77. Represas-Carrera FJ, Martínez-Ques AA, Clavería A. Effectiveness of mobile applications in diabetic patients’ healthy lifestyles: A review of systematic reviews. Prim Care Diabetes. 2021;15(5):751-60. https://doi.org/10.1016/j.pcd.2021.07.004
https://doi.org/10.1016/j.pcd.2021.07.00...
) .

Although there are advantages to using mobile devices, there is also evidence of barriers to the use of apps among people with DM. These barriers may include poor usability, the lack of accessibility features, and the content present in the apps, thus constituting obstacles for users ( 88. Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, et al. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetol Metab Syndr. 2019;11(84). https://doi.org/10.1186/s13098-019-0480-4
https://doi.org/10.1186/s13098-019-0480-...
) . In addition, both in professional clinical practice and in users’ daily lives, the identification of these apps is not systematized. The selection of these resources must be supported by an efficient analysis of content, resources, and usability, ensuring the safe use of these tools for health management. In this way, technology performance evaluation studies are used to analyze and evaluate technologies and thus provide elements for interpreting the benefits and limitations of the technology ( 99. Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes. 2022;7(3):e28153. https://doi.org/10.2196/28153
https://doi.org/10.2196/28153...

10. Silva AR, Silva GB Junior, Branco KMPC. Comparative study of mobile apps available for kidney transplant patients. Rev Saude Dig Tecnol Educ. 2020;5(3):1-15. https://doi.org/10.36517/resdite.v5.n3.2020.a2
https://doi.org/10.36517/resdite.v5.n3.2...
- 1111. Tsimihodimos V, Kostapanos MS, Moulis A, Nikas N, Elisaf MS. Effects of benchmarking on the quality of type 2 diabetes care: results of the OPTIMISE (Optimal Type 2 Diabetes Management Including Benchmarking and Standard Treatment) study in Greece. Ther Adv Endocrinol Metab. 2015;6(5):199-209. https://doi.org/10.1177%2F2042018815592803
https://doi.org/10.1177%2F20420188155928...
) .

A systematic review published in 2017 on the usability and clinical effectiveness of mobile apps for adults with Type 2 Diabetes Mellitus (DM2) showed that twenty publications on usability, user satisfaction, and usage problems indicated limited effectiveness of mobile apps in promoting glycemic control ( 1212. Fu H, McMahon SK, Gross CR, Adam TJ, Wyman JF. Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review. Diabetes Res Clin Pract. 2017;131:70-81. https://doi.org/10.1016/j.diabres.2017.06.016
https://doi.org/10.1016/j.diabres.2017.0...
) . In 2019, a study presented the results of the identification of apps available in Spanish on the Play Store (Android) and App Store-iPhone Operating System (iOS) platforms, indicating thirty-four apps, of which three did not have quality certification and only three indicated the scientific references used ( 1313. Rodríguez AQ, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinol Diabetes Nutr (Engl Ed). 2019;66(5):330-7. https://doi.org/10.1016/j.endinu.2018.11.005
https://doi.org/10.1016/j.endinu.2018.11...
) .

In view of the above, challenges remain in identifying available mobile applications for managing DM, as well as verifying their usability properties. Therefore, the aim of this article is to map the content and features of mobile applications for managing DM and their usability on the main operating systems.

Methods

Study design

This is a benchmarking study ( 1010. Silva AR, Silva GB Junior, Branco KMPC. Comparative study of mobile apps available for kidney transplant patients. Rev Saude Dig Tecnol Educ. 2020;5(3):1-15. https://doi.org/10.36517/resdite.v5.n3.2020.a2
https://doi.org/10.36517/resdite.v5.n3.2...
- 1111. Tsimihodimos V, Kostapanos MS, Moulis A, Nikas N, Elisaf MS. Effects of benchmarking on the quality of type 2 diabetes care: results of the OPTIMISE (Optimal Type 2 Diabetes Management Including Benchmarking and Standard Treatment) study in Greece. Ther Adv Endocrinol Metab. 2015;6(5):199-209. https://doi.org/10.1177%2F2042018815592803
https://doi.org/10.1177%2F20420188155928...
) of mobile applications, which sought, by mapping application platforms, to survey the content, resources, and usability of mobile applications aimed at the health of people with DM.

A benchmarking study makes it possible to evaluate the performance and results of a resource or technology, making comparisons with other resources, with a view to providing improvements and innovative ideas. It acts as a search tool that allows for the improvement and modern design of apps with the best evidence and functionalities ( 1010. Silva AR, Silva GB Junior, Branco KMPC. Comparative study of mobile apps available for kidney transplant patients. Rev Saude Dig Tecnol Educ. 2020;5(3):1-15. https://doi.org/10.36517/resdite.v5.n3.2020.a2
https://doi.org/10.36517/resdite.v5.n3.2...
- 1111. Tsimihodimos V, Kostapanos MS, Moulis A, Nikas N, Elisaf MS. Effects of benchmarking on the quality of type 2 diabetes care: results of the OPTIMISE (Optimal Type 2 Diabetes Management Including Benchmarking and Standard Treatment) study in Greece. Ther Adv Endocrinol Metab. 2015;6(5):199-209. https://doi.org/10.1177%2F2042018815592803
https://doi.org/10.1177%2F20420188155928...
) .

The scoping review framework, according to the Joanna Briggs Institute, was adapted to map apps and synthesize their content and resources. The adapted methodological steps were: 1) Definition and alignment of the objective and question; 2) Development and alignment of the inclusion criteria with the objective and question; 3) Description of the approach planned for the search, selection, extraction of content, and resources, and presentation of the apps; 4) Search for apps; 5) Selection of apps; 6) Extraction of content and resources; 7) Analysis of content, resources, and usability; 8) Presentation of the results and, 9) Summary in relation to the purpose, conclusions and implications of the conclusions.

The aim was to identify mobile apps aimed at the health of people with DM, their content, resources, and usability. To this end, the question was developed: “What are the contents, resources, and usability of apps aimed at the health of people with DM?”. In order to achieve the objective, the inclusion criteria were: apps in Portuguese, English, and Spanish, which included the theme of health and DM and those which: 1) required payment for installation; 2) were aimed at health professionals; 3) required permission from the authors for their use (registration number and password); 4) were aimed at accompanying a scientific event/conference; 5) were games and knowledge evaluators; 6) were aimed at animal health; 7) were unavailable for download or use; 8) required specific sensors for their operation. The search approach was guided by the terms “diabetes mellitus” and “health”.

The search, selection, and download were carried out between November and December 2021, in the Play Store and App Store virtual stores, of the Android (Google) and iOS (Apple) operating systems, respectively. Two researchers independently searched for and downloaded the apps from the online stores. The first researcher used an Android-compatible Samsung Galaxy A71 and an iOS-compatible iPhone 6s. The second researcher used a Xiaomi 8 Lite, compatible with Android, and an iPhone 6s, compatible with iOS. Four searches were carried out in each online store, using each of the previously established terms individually. After the search, the apps were selected via title and short description. The apps that met the inclusion and exclusion criteria were downloaded and analyzed.

To collect and organize the information extracted, each researcher organized the app data into an information matrix in Microsoft Excel ® , with a description of identification (name, developer, author(s) responsible, year of release, language, country of origin); target audience (patient, family members/caregivers and students); app data (description, current version, number of downloads, rating/evaluation).

Two researchers then analyzed the usability of each app in tests that lasted two weeks. This evaluation period was necessary so that some apps could produce a minimum set of data capable of generating user graphics. At the end of this period, the researchers had enough elements to reliably analyze usability.

Usability data analysis

The usability analysis of the apps was based on the System Usability Scale (SUS) questionnaire, which was validated for use in Brazil in 2010 ( 1414. Tenório JM, Cohrs FM, Sdepanian VL, Pisa IT, Marin HF. Desenvolvimento e avaliação de um protocolo eletrônico para atendimento e monitoramento do paciente com doença celíaca. Rev Inform Teor Apl. 2010;17(2):210-20. https://doi.org/10.22456/2175-2745.12119
https://doi.org/10.22456/2175-2745.12119...
) . The SUS evaluates products, software, applications, interfaces, and websites by criteria of efficiency, effectiveness, and satisfaction, and allows the identification of advantages and weaknesses through the previous use of the selected apps. The questionnaire has ten items that show a comprehensive view of the user in relation to the system, with the user having to select an item from a scale ranging from 1 (Completely Disagree) to 5 (Completely Agree) ( 1414. Tenório JM, Cohrs FM, Sdepanian VL, Pisa IT, Marin HF. Desenvolvimento e avaliação de um protocolo eletrônico para atendimento e monitoramento do paciente com doença celíaca. Rev Inform Teor Apl. 2010;17(2):210-20. https://doi.org/10.22456/2175-2745.12119
https://doi.org/10.22456/2175-2745.12119...
) .

To calculate usability, 1 was subtracted from the score for odd answers and 5 was subtracted for even answers. To obtain the final average, the value found was multiplied by 2.5, which produced the final score (between 0 and 100). In relation to the SUS scores, a score between 50-67 points is considered borderline, i.e., the resource may have some flaws, but still has acceptable usability standards. Scores between 68-84 represent products with acceptable usability. Software that scores above 85 has excellent user acceptance ( 1515. Martins AI, Rosa AF, Queirós A, Silva A, Rocha NP . European Portuguese Validation of the System Usability Scale (SUS). Procedia Comput Sci. 2015;67(2015):293-300. https://doi.org/10.1016/j.procs.2015.09.273
https://doi.org/10.1016/j.procs.2015.09....
) . After the independent evaluation, the two researchers compared the results of the SUS application for each app, discussing the possible differences in scores for the ten items in the questionnaire. This debate was mediated by the concomitant review of the app by the two researchers until a consensus was reached to determine the app’s final usability score.

Ethical aspects

This study was not submitted to a Research Ethics Committee because it was characterized as research that did not directly involve human beings, whose data is in the public domain, and did not involve any commercial, professional, or other conflicts of interest. The information collected from the apps was used exclusively for scientific purposes. The apps analyzed were duly mentioned in the study.

Results

431 apps were identified on the app platforms, 269 on the Play Store, and 162 on the App Store. Of these, 30 were excluded for being duplicates, leaving 401 apps. After analyzing the titles and describing the content, 255 apps were selected for download and detailed evaluation. In the end, the sample consisted of 71 apps. The app selection process is described in Figure 1 .

The apps analyzed have been available on the platforms since 2010, with an increase in the number of developments since 2013. It was observed that 2020 was the period with the highest number of launches, totaling 12 (16.9%) apps. However, a decline in app development was identified after 2021.

The majority of apps had developers from the United States (21; 29.5%) and India (14; 19.7%). This was followed by apps from Brazil (6; 8.4%); France (4; 5.6%); Germany (3; 4.2%); Pakistan, Spain, Russia, Canada and China (2; 2.8% each); Austria, Greece, Poland, Switzerland, Turkey, the United Kingdom, the Netherlands, Bulgaria, Denmark, Japan, Italy, Finland and Belgium (1; 1.4% each).

DM management was covered in all the apps, involving content such as self-monitoring, control, and management of glycemic patterns, recording of physical activities, educational guidelines related to diet, information on the use of medication and insulin, as well as pressure control and anthropometric measurements ( Figure 2 ).

Figure 1
- Flow diagram of the selection of applications on the selected virtual platforms. Macaé, RJ, 2023

Figure 2
- Characterization of apps according to language, objectives, version, evaluation, and downloads. Macaé, RJ, 2023

Three thematic axes can represent the content and resources that indicate the central purpose of the apps: “apps for managing blood glucose and drug therapy”, encompassing actions to manage the pathophysiology and treatment of DM; “apps for lifestyle changes”, such as physical activity, diet, blood pressure, and weight control; and “apps for well-being and education measures”, with goal-setting, motivational guidance, encouragement to live with the chronicity of DM and educational guidance.

Figure 3 shows the categorization of the apps analyzed in terms of the thematic axes and the topics covered. The predominant themes were blood glucose management (55; 77.4%), followed by diet (41; 57.7%), oral drug therapy, and insulin therapy (39; 54.9%). Some apps include more than one theme in their content, allowing them to fit into one or more categories at the same time.

With regard to the resources available on the apps, the following were identified: diaries (50; 70.4%); graphs (46; 64.7%); figures/images (37; 52.1%); reports (27; 38%); reminders/alarms (17; 23.9%), statistics (7; 9.8%) and tables (5; 7%). Features related to lifestyle and well-being were also identified: recording blood pressure (22; 30.9%), weight (14; 19.7%), monitoring physical activity (15; 21.1%) and guidelines/goals (2; 2.8%) which help in the effective management of DM. Some apps allowed data to be entered on the user’s sociodemographic profile (47; 66.2%) and clinical profile (52; 73.2%), such as the year of diagnosis (9; 12.6%) and the type of DM (24; 33.8%).

With regard to the usability of the apps analyzed, two (2.8%) obtained a score ≥ 85; 34 (47.9%) scored between 68-84 points; 29 (40.8%) had scores between 50-67 points; six (8.5%) obtained scores below 50. Figure 4 illustrates the apps’ information on content, features, and usability.

Figure 3
- Categorization of apps according to the thematic axes and topics covered. Macaé RJ, 2023

Figure 4
- Characterization of the selected apps in terms of content, resources and usability. Macaé, RJ, 2023

Discussion

The interpretation of the broader data indicates a predominance of apps aimed at managing blood glucose and drug therapy, and a categorization of acceptable usability, followed by borderline. From this, it can be inferred that there is a need to invest in improving these apps to ensure that the user can make better use of the resource, broadening its support possibilities. In addition, the predominance of the vision focused on blood glucose and pharmacological control may emphasize the biological and professional-centered vision, minimizing the alternatives of a more active role for the person, especially related to behaviors and beliefs related to broader concepts of health.

However, the content and resources found in the “apps for blood glucose management and drug therapy”, “apps for lifestyle changes”, and “apps for well-being and education measures” have, in a complementary way, direct implications for attitudes to self-care. This is because self-care attitudes are determined by behavioral, cognitive, and emotional issues ( 1616. Nunes LB, Santos JC, Reis IA, Torres HC. Attitudes towards self-care in type 2 diabetes mellitus in primary care. Acta Paul Enferm. 2021;34:eAPE001765. https://doi.org/10.37689/acta-ape/2021AO001765
https://doi.org/10.37689/acta-ape/2021AO...
- 1717. Mendez I, Lundeen EA, Saunders M, Williams A, Saaddine J, Albright A. Diabetes self-management education and association with Diabetes self-care and clinical preventive care practices. Sci Diabetes Self Manag Care. 2022;48(1):23-34. https://doi.org/10.1177/26350106211065378
https://doi.org/10.1177/2635010621106537...
) , and these contents and resources facilitate the development of positive health behaviors by including reminders/alarms, monitoring diaries, reports, and graphs. They use cognitive attitudes based on access to guidance and health goals, which reinforce positive emotional responses through motivational advice and rewarding good results. Thus, the person with DM can be guided to use more than one app from the different axes, in order to exploit the complementary features.

The features of the apps classified under the heading “Apps for managing blood glucose and drug therapy” include support for managing variations in blood glucose and the use of medication. Some studies have investigated the impact of these features on coping with the challenges of achieving individual glycemic targets, on decision-making regarding blood glucose patterns, and on the use of medication. A systematic review that evaluated the effect of smartphone apps on glycemic control in young patients with Type 1 DM (DM1) did not reveal a significant reduction in glycated hemoglobin (HbA1c) compared to usual care in combination. However, auxiliary apps with insulin or carbohydrate calculators were found to be beneficial in reducing HbA1c ( 1818. Pi L, Shi X, Wang Z, Zhou Z. Effect of smartphone apps on glycemic control in young patients with type 1 diabetes: A meta-analysis. Front Public Health. 2023;11:1074946. https://doi.org/10.3389%2Ffpubh.2023.1074946
https://doi.org/10.3389%2Ffpubh.2023.107...
) .

In parallel, a real-world investigation indicated that the continuous use of blood glucose management apps is associated with the achievement of glycemic goals in clinical practice ( 1919. Tu Y, Chang Y, Chiou H, Lai K. The Effects of Continuous Usage of a Diabetes Management App on Glycemic Control in Real-world Clinical Practice: Retrospective Analysis. J Med Internet Res. 2021;23(7):e23227. https://doi.org/10.2196/23227
https://doi.org/10.2196/23227...
) . In participants with DM2, users who logged into an app for 19 days and had at least 85 days from their first to their last login had a more than twofold increase in the chance of reducing their absolute HbA1c value by 0.5% ( 2020. Jonusas J, Aleknavicius K, Valinskas S. Klinio mobile app for diabetes self-care: A pilot study of HbA1c improvement in type 2 diabetes patients. Smart Health. 2023;29(2023):100404. https://doi.org/10.1016/j.smhl.2023.100404
https://doi.org/10.1016/j.smhl.2023.1004...
) . Part of these contributions may be associated with the different functions found in the apps, which is why it is important to consider the functionality of the apps so that there are better possibilities for patients to use them. It follows from this process that the quality of the dynamics in the use of health apps is significantly influenced by the functionality of these technologies ( 2121. He Q, Zhao X, Wang Y, Xie Q, Cheng L. Effectiveness of smartphone application-based self-management interventions in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials. J Adv Nurs. 2022;78(2):348-62. https://doi.org/10.1111/jan.14993
https://doi.org/10.1111/jan.14993...
) .

In terms of content, some apps have gone beyond the usual glycemic monitoring, with the use of reminders, diaries, statistics, graphs, and user reports, making it possible to make appropriate adjustments and more accurate decision-making, given the scope of the information obtained, and thus improve the functionality of the apps to enhance their efficacy and effectiveness.

With regard to resources that help with drug treatment, the tools that seek to help with drug adherence stand out. The contributions of these resources to treatment adherence are not yet clear from the literature. An evaluation of high-quality apps available free to the public showed that almost half of them did not promote high or moderate medication adherence. However, the limitation imposed by the small sample size and the lack of standardization of assessment tools on medication adherence is noteworthy ( 2222. Islam SMS, Mishra V, Siddiqui MU, Moses JC, Adibi S, Nguyen L, et al. Smartphone Apps for Diabetes Medication Adherence: Systematic Review. JMIR Diabetes. 2022;7(2):e33264. https://doi.org/10.2196/33264
https://doi.org/10.2196/33264...
) .

The “Apps for lifestyle changes” axis included apps with content and resources aimed at practicing physical activities, eating, blood pressure, and weight control. The identification of apps that cover this axis is in line with an investigation into the use of mobile devices by patients living with DM, which showed that a significant proportion of participants use apps for nutritional and dietary planning (85.5%), monitoring glycemic control (76.5%) and scheduling health appointments (90.5%) ( 2323. Mehbodniya A, Kumar AS, Rane KP, Bhatia KK, Singh BK. Smartphone-Based mHealth and Internet of Things for Diabetes Control and Self-Management. J Healthc Eng. 2021;2021:2116647. https://doi.org/10.1155/2021/2116647
https://doi.org/10.1155/2021/2116647...
) .

In addition to this evidence, a systematic review of the effectiveness of lifestyle-related mobile apps for people with DM found that managing lifestyle habits through apps can help achieve effective glycemic control in the short term. However, there were no significant contributions to blood pressure or weight control ( 77. Represas-Carrera FJ, Martínez-Ques AA, Clavería A. Effectiveness of mobile applications in diabetic patients’ healthy lifestyles: A review of systematic reviews. Prim Care Diabetes. 2021;15(5):751-60. https://doi.org/10.1016/j.pcd.2021.07.004
https://doi.org/10.1016/j.pcd.2021.07.00...
) .

The axis “Apps for well-being and education measures” covered tools that helped set goals, educational guidelines, motivational advice, and encouragement when living with the chronicity of DM. Motivation is an important factor in people with DM being able to cope effectively with the disease ( 2424. Izahar S, Lean QY, Hameed MA, Murugiah MK, Patel RP, Al-Worafi YM, et al. Content Analysis of Mobile Health Applications on Diabetes Mellitus. Front Endocrinol (Lausanne). 2017;8:318. https://doi.org/10.3389/fendo.2017.00318
https://doi.org/10.3389/fendo.2017.00318...
) . Notably, these aspects are observed in the apps analyzed, including the educational theme, which is also relevant to maintaining the health of people with DM. In this context, apps seem to emerge as a tool capable of providing educational guidance and relevant information to individuals instantly, contributing to their teaching-learning process and the management of their health condition ( 88. Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, et al. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetol Metab Syndr. 2019;11(84). https://doi.org/10.1186/s13098-019-0480-4
https://doi.org/10.1186/s13098-019-0480-...
) .

Although motivational aspects were the aim of some of the apps, no mental health content was identified. It is known that people with DM are more susceptible to depression, anxiety, social isolation, and eating disorders ( 2525. Ducat L, Philipson LH, Anderson BJ. The mental health comorbidities of diabetes. JAMA. 2014;312(7):691-2. https://doi.org/10.1001%2Fjama.2014.8040
https://doi.org/10.1001%2Fjama.2014.8040...
) . In addition to the impact that treatment causes, such as physical and emotional stress on the person and their family, living with this chronic condition is permeated by numerous challenges, including adapting to a new care routine ( 44. Marcelo CAS, Coutinho MAP, Lara CR, Paraizo CMS, Fava SMCL. Mobile applications on Diabetes Mellitus - Narrative Review. J Health Inform [Internet]. 2020 [cited 2023 Nov 19];12(02):64-7. Available from: https://jhi.sbis.org.br/index.php/jhi-sbis/article/view/726/386
https://jhi.sbis.org.br/index.php/jhi-sb...
, 2525. Ducat L, Philipson LH, Anderson BJ. The mental health comorbidities of diabetes. JAMA. 2014;312(7):691-2. https://doi.org/10.1001%2Fjama.2014.8040
https://doi.org/10.1001%2Fjama.2014.8040...
- 2626. Alba IGF, Gimeno-Miguel A, Poblador-Plou B, Gimeno-Feliu LA, Ioakeim-Skoufa I, Rojo-Martínez G, et al. Association between mental health comorbidity and health outcomes in type 2 diabetes mellitus patients. Sci Rep. 2020;10(1):19583. https://doi.org/10.1038/s41598-020-76546-9
https://doi.org/10.1038/s41598-020-76546...
) .

It is also noteworthy that other important topics for the health of people with DM were not addressed by the apps analyzed, such as sexuality and reproduction. Sexuality is an essential component for maintaining a healthy life, and biological, psychological, and social repercussions can be influenced by DM ( 2727. Hoorsan R, Lamyian M, Ahmadi F, Azin SA, Rahimiforoushani A. Exploring Sexual Life Experiences and Perceptions of Women with Diabetes: A Qualitative Study. Int J Community Based Nurs Midwifery. 2022;10(3):223-33. https://doi.org/10.30476/IJCBNM.2021.91530.1793
https://doi.org/10.30476/IJCBNM.2021.915...
) . Other topics that were little explored were educational guidelines on the complications of DM, such as diabetic neuropathy and peripheral arterial disease. Information on these complications and the prevention of skin lesions is fundamental for health management, helping to reduce health costs and avoiding hospital admissions for preventable causes, which can result in a better quality of life ( 2828. Lira JAC, Rocha ASC, Bezerra SMG, Nogueira PC, Santos AMRD, Nogueira LT. Effects of educational technologies on the prevention and treatment of diabetic ulcers: A systematic review and meta-analysis. Rev. Latino-Am. Enfermagem. 2023;31:e3944. https://doi.org/10.1590/1518-8345.6628.3944
https://doi.org/10.1590/1518-8345.6628.3...
) .

Another important aspect is the lack of apps aimed at people with disabilities. No content was identified relating to visual impairment or low visual acuity resulting from another common complication of DM, such as diabetic retinopathy. The lack of apps on the subject is alarming, given that the contributions of technological advances to the inclusion of people with disabilities in society have already been recognized, minimizing inequalities, breaking down barriers, encouraging autonomy, and self-care, and ensuring greater accessibility ( 2929. Bonilla MHS, Silva MCCC, Machado TA. Digital technologies and visual impairment: the contribution of ICT to pedagogical practices in the context of Brazilian law for the inclusion of persons with disability. Rev Pesqui Qual. 2018;6(12):412-25. https://doi.org/10.33361/RPQ.2018.v.6.n.12.236
https://doi.org/10.33361/RPQ.2018.v.6.n....
) . This recognizes the need for investment in the development of tools for these issues.

Despite the above, it should be noted that among the plurality of 23 countries developing the selected apps, only two are Ibero-American (Brazil and Spain), whose total number of apps did not exceed 11 (2%). This reality may indicate an important indicator of technological investment related to the health of people with DM, above all because it corresponds to realities with different socio-cultural characteristics, the effects of which may suggest different impacts on more vulnerable populations in which functional, cultural and technological literacy and literacy have different realities between peoples and nations ( 3030. Oliveira JR. From southern epistemologies to a new South Ethos: traditional communities and environmental responsibility. Trans/Form/Ação. 2022;45(spe):439-54. https://doi.org/10.1590/0101-3173.2022.v45esp.21.p439
https://doi.org/10.1590/0101-3173.2022.v...
- 3131. Rizzotti MLA, Nalesso APP. Technology, work and information from the perspective of social inequality: implications for social policy. Serv Soc Soc. 2022;144:91-109. https://doi.org/10.1590/0101-6628.282
https://doi.org/10.1590/0101-6628.282...
) , which is no different for people with DM.

Furthermore, of the 71 apps selected, only 16 have a Portuguese version and one in Spanish. Of these apps, none were characterized as having excellent usability; the majority were considered to have acceptable usability (58.8%). This highlights the need for more and better discussions in Ibero-America on technologies for the health of people with DM, with a view to bringing information on blood glucose management, drug therapy, lifestyle changes, and well-being measures closer to the plural and objective reality of this population.

From a technical perspective, it can be seen that the versions of the apps analyzed were growing, indicating that the content was being updated and improved, with the addition of functionalities. It was also observed that the number of downloads was very varied, which is equivalent to the number of people who access the virtual store and download; however, this number may not reflect the actual number of app users, as merely downloading them does not automatically make the individual a user of the app’s content and resources.

It is worth noting that although the vast majority of apps were in English, with 53/71, the number of downloads compared to Portuguese-language apps, with only 16/71, was not as great as the difference between these two modalities. For the English-language apps, the total number of downloads was >2,217,500, while the Portuguese-language apps had >1,960,100 downloads. This reality may reveal different behaviors among social groups from different cultures, regarding the importance they attach to health practices and/or the use of technologies for different purposes, which includes accessing information and establishing health-related routines. In this sense, Brazil, for example, is the country whose users spend the most time using their smartphone (Android) each day, with 5.4 hours/day, as revealed by the AppAnnie platform report of 2021 ( 3232. Luft M, Rosenfelder S, Sydow L. State of App Marketing Brazil - Edition 2021 [Internet]. 2021 [cited 2023 Nov 19]. Available from: https://dataai.infogram.com/pt-brazil-stateof-app-marketing-brazil-2021
https://dataai.infogram.com/pt-brazil-st...
) .

This study found that most of the apps had acceptable usability or the features had some flaws, but with usability standards that were still acceptable. These results corroborate the data found in a systematic review that identified satisfaction rates for specialists and patients ranging from 38% to 80% ( 1212. Fu H, McMahon SK, Gross CR, Adam TJ, Wyman JF. Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review. Diabetes Res Clin Pract. 2017;131:70-81. https://doi.org/10.1016/j.diabres.2017.06.016
https://doi.org/10.1016/j.diabres.2017.0...
) . The main usability problems are multi-step tasks, limited functionality and interaction, and difficult system navigation. Another study evaluating free mobile apps in Spanish identified few free DM management apps available, most of which lacked quality certification and few of which provided scientific references on their content ( 1313. Rodríguez AQ, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinol Diabetes Nutr (Engl Ed). 2019;66(5):330-7. https://doi.org/10.1016/j.endinu.2018.11.005
https://doi.org/10.1016/j.endinu.2018.11...
) .

This research provides a comprehensive overview of mobile apps aimed at the health of people with DM available on the main platforms, as well as an analysis of their features, content, and usability. This overview identified the limitations of the resources and the issues that still require development. In view of the results, nursing and health professionals and researchers can extract elements that facilitate both the detailed evaluation of apps and the safer recommendation of those that would best meet certain criteria, as well as directing investment in the development of new technologies and mobile resources necessary for the health management of people with DM.

A limitation of this study is that it did not include paid apps, which required specific resources or authorization from their developers. As the study focused on usability aspects, there is a limit to the reliability of the content used by developers and compliance with quality certification criteria, which requires future studies and an assessment of these parameters by health professionals who recommend apps.

Conclusion

The mobile apps for the health of people with DM available on the main operating systems have varied content and resources. Most of them have acceptable usability and mainly involve the topics of blood glucose management, diet, drug therapy, and insulin therapy. They have the potential to help and guide users in their daily management of the disease, as well as being a possible care strategy to be used by health professionals.

However, some topics were not well covered, such a mental, sexual, and reproductive health, which can contribute to the therapeutic plan from a holistic and comprehensive perspective. There was also a need to develop more inclusive apps, with content and resources aimed at people with DM who live with some kind of disability. Finally, the recommendation for use by professionals should be preceded by verification of the reliability of the information contained in the apps, an issue which, due to the purpose of this research, was not assessed.

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  • *
    The publication of this article in the Thematic Series “Digital health: nursing contributions” is part of Activity 2.2 of Reference Term 2 of the PAHO/WHO Collaborating Centre for Nursing Research Development, Brazil. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) - Finance Code 001, Brazil.
  • All authors approved the final version of the text.
  • How to cite this article
    Lopes ROP, Chagas SR, Gomes ES, Barbosa JCA, Silva IR, Brandão MAG. Benchmarking mobile applications for the health of people with Diabetes Mellitus. Rev. Latino-Am. Enfermagem. 2024;32:e4221 [cited year month day]. Available from: URL . https://doi.org/10.1590/1518-8345.7182.4221

Edited by

Associate Editor:
Maria Lúcia Zanetti

Publication Dates

  • Publication in this collection
    05 July 2024
  • Date of issue
    2024

History

  • Received
    29 Nov 2023
  • Accepted
    12 Mar 2024
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