Open-access Development and content validation of a mobile application for monitoring latent tuberculosis treatment

ABSTRACT

Background:  Non-compliance with latent tuberculosis infection (LTBI) treatment is a reality. The objective of this study was to develop and validate an mobile device application for monitoring the treatment of LTBI.

Methods:  We defined the requirements, elaborated on the application's conceptual map, generated implementation and prototyping alternatives, and validated content.

Results:  Feedback on the validity of content were: “usefulness, consistency, clarity, objectivity, vocabulary, and precision” from professionals, and “clarity” from patients.

Conclusions:  The application proved to be easy to understand, according to the assessment of both professionals and people undergoing treatment for LTBI.

Keywords: Validation studies; Mobile health; Latent tuberculosis

According to the World Health Organization (WHO)1, nearly 10 million people developed tuberculosis (TB) and 1.4 million individuals died of tuberculosis infection worldwide in 2019; in Brazil, 73,864 novel cases of TB were diagnosed in that same year2.

It is estimated that a quarter of the world’s population is infected with Mycobacterium tuberculosis, since most do not have signs and/or symptoms of the disease, a characteristic feature of LTBI. Progression to active TB depends on external factors, especially the integrity of the immune system3.

In Brazil, the treatment of LTBI is provided by the Unified Health System (Sistema Único de Saúde). The treatment lasts from 6 to 9 months, and isoniazid is the drug of choice, reducing the risk of illness due to active TB from 90% to 60%².

However, abandoning or not initiating LTBI treatment can be related to factors such as age, concern about the adverse effects of the medication, schooling, negative opinion provided by the specialist, and even discrimination4-6.

Therefore, with the objective of improving the adherence of patients with LTBI and consequently reducing the number of treatment abandonments, this study developed and validated a mobile application for monitoring the treatment of LTBI.

This is a methodological study aimed at creating an application for mobile devices that assists in the treatment of patients with LTBI, carried out in three stages: 1) definition of requirements, 2) prototyping alternatives, and 3) content validation7.

An application called “Meu tratamento tuberculose latente” (“My latent tuberculosis treatment”) was developed using the Android operating system. The images used were created by the study team using the Freepik tool.

In the first stage, a search was conducted in the Manual of Recommendations for the Control of Tuberculosis in Brazil and in the Protocol for Surveillance of Latent Infection by Mycobacterium tuberculosis in Brazil8 on the prevention and treatment of LTBI. These resources helped in the development of application content.

In the second stage, application prototyping was performed to understand the user's requirements. The next stage is the representation of the software visible to the user.

In the third stage, the content of the application was validated by health professionals and patients. For this, the study by Pasquali9 was used, which shows that content validation needs to be done by means of two analyses: analysis by judges (professionals) and semantic analysis (target audience). It is recommended that content analysis, as well as the inclusion criteria, be carried out by experienced people in the area in question, suggesting six to 20 subjects, requiring at least three individuals in each selected group9. To avoid possible ties of opinion, we decided to use an odd number of seven evaluators in the two types of analysis.

For the validation of the application content, professional expertise with at least two years of experience in TB were defined as inclusion criteria. Because the diagnosis of LTBI is carried out in primary care, secondary, and tertiary references8, we decided to include health professionals who worked in different TB care services regardless of their training area.

Currently, the Ministry of Health10 recommends that the prescription of treatment is the responsibility of the medical staff, and the nurse is responsible for investigating the LTBI, discussing, and providing support in establishing the diagnosis and monitoring the treatment. TB programs in Brazil have a greater number of nursing professionals, and they are the majority of professionals who coordinate these services. In this way, it is justified that the number of professionals with nursing training is greater than that for medical doctors in relation to the evaluation of the application.

A link was sent by mail inviting the professionals to access the Informed Consent Form (FICF) through “Google Forms Application” and to the study questionnaires (characterization of professional participants and content validation). The content validation questionnaire refers to an application with answers presented on a Likert scale: 1 (strongly disagree), 2 (disagree), 3 (neither agree nor disagree), 4 (agree), and 5 (strongly agree).

In this validation questionnaire, the professionals chose the option they considered most appropriate among the answers, if the option selected was “disagree”, it was necessary to justify the reason for disagreement using the criteria as follows: usefulness/relevance (1), consistency (2), clarity (3), objectivity (4), simplicity (5), executable (6), updating (7), vocabulary (8), precision (9), and institutional sequence of topics (10)9,11.

The content validity index (CVI) was applied in the first and second versions of the application's questionnaire content. As the number of evaluators was above six, and in order to stipulate an acceptable agreement rate among the professionals, the recommended value of at least 0.80 was established to serve as a decision criterion for item acceptance12.

The items that were suggested to be changed or eliminated in the first version were considered, and after the change, they were sent again to the professionals so that we could have the final content validation feedback.

Content validation semantic analysis was also performed. The objective of this stage was to verify whether the items present in the same instrument that the professionals evaluated were understandable for the target audience, who were patients with LTBI. The target audience was also able to recommend modifications deemed necessary to any element of the application. This study was carried out at a health unit located in the city of Vila Velha, Espírito Santo, Brazil. Interested patients participating in the research signed the printed FICF. The researcher completed the content validation questionnaire (the final version approved by the professionals) according to the patient's answers.

This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo under CAAE No. 88226218.0.1001.5060. In line with Resolution 466/2012 of the National Health Council, all requirements for the protection of participants in scientific research involving humans were met.

The data obtained in the first and second versions of the evaluation of the application content by the professionals and the analysis by the target audience were entered into the BioEstat program, version 5.3, and analyzed using descriptive statistics.

A conceptual map was created to assist in the production of the application content. Using the definition of the conceptual map, a software representation with user-related interfaces was created. The first version of the application screen was produced; in this first version, the research group observed the need to include more pictures instead of text, replace images, improve the layout of the patient's medication schedule and the topic “How am I feeling?”. After making these changes, the second version of the application screen was generated in the presence of more images and less text. Images of the first and second versions of the application are shown in Figure 1.

FIGURE 1:
First and second versions of the "My latent tuberculosis treatment" application screens.

Of the seven health professionals who evaluated the application content, 71.4% were nursing graduates and 28.6% were medical doctors; these professionals worked in health secretariats, health units, hospitals, and the Ministry of Health. All participants had more than seven years of training and were from different cities. Table 1 presents the first version of the items related to the application content evaluated by these professionals as well as their suggestions. Among the 20 items evaluated by the professionals, 10 presented a CVI > 0.80, while Items 1, 2, 4, 6, 7, 8, 11, 13, 14, and 19 were reformulated based on their suggestions.

TABLE 1
Judgment of the professionals from different cities about the app content, Brazil, 2020.

In the first version of the application content analysis (Table 1), the changes suggested by the professionals were implemented, producing the second version of the application content, as shown in Table 2. We observed that of the 10 items evaluated, only items 1 and 2, referring to the application's name, had a CVI below 0.80. Therefore, we decided not to change these two items and checked the target audience's assessment.

TABLE 2: Final
opinion of the professionals about the items with CVI < 0.80, Brazil, 2020.

Of the seven patients who evaluated the content of the app, five (71.4%) were between 30 and 36 years of age and two (28.6%) were over 50 years old; four (57.1%) were male and three (42.9%) were female; five (71.4%) did not complete any level of education, one (14.3%) had completed elementary education, four (57.1%) completed high school, and two (28.6%) had higher education.

It was observed that the patients did not adapt to the name of the application due to the acronym LTBI; most of them stated that it was not possible to establish a relationship between LTBI and latent tuberculosis and that this name was not appealing. Therefore, the application name was defined as “My latent tuberculosis treatment”.

Our application proved to be a tool capable of meeting the needs of patients, as it allows them to access information about the initiation, end, and current day of treatment, allowing them to choose the medication time, in addition to having a voice support that allows for social inclusion. It is important to emphasize that it is a mobile health application; it uses mobile technology to help patients with LTBI adhere to treatment, in addition to providing information about the disease. Having adequate assistance from professionals, in addition to the help of this application, can contribute to adherence to LTBI treatment.

Access to and use of information and communication technologies (ICT) are related to the growing process of technology in contemporary society. To develop an application, it is important to understand the needs of its users7.

Applications aimed at health have the ability to reach heterogeneous populations, and are mainly used by middle-aged and older adults. Therefore, it is important for the application to have an uncomplicated, comprehensible language13.

The professionals evaluated the first version of the questionnaire, composed of twenty items referring to the content of the application. Ten items were reformulated by the professionals witch made the necessary considerations based on the evaluated requirements. The main changes in relation to the content presented were in relation to “utility, consistency, clarity, objectivity, vocabulary and precision”.

After the changes made for these ten items, a new questionnaire was produced and the professionals evaluated the questionnaire again. Only two itens among ten were suggested changes, related to the application name. After all modifications suggested by the professionals, the patients had access to the questionnaire final version related to the application content.

In the second stage of the study, validation of the application content was conducted with the patients, in which participant education ranged from incomplete elementary education to postgraduate studies, and the changes reported most frequently by these patients were “clarity and simplicity.” It is important that the application content is understood by its target audience, since the risk group includes the most varied types of patients, such as older adults, illicit drug users, recent immigrants from countries with a high TB incidence, people with diabetes, as well as healthcare professionals14.

Digital technologies provide opportunities to address the challenges of health systems. This study is a digital health intervention with components that contribute to its implementation, according to the guidelines published by the WHO in 2019¹, such as validated health content and ICT systems that contribute to the strengthening of the health system.

A systematic review showed that digital health interventions are being increasingly used to assist in the treatment of TB and that they can improve medication adherence and patient outcomes15. Our study sought to focuses on patients with LTBI using technology.

Although there is a great interest in ICT, some limitations need to be highlighted: the user can find it difficult to understand digital technology and information, and not all individuals have access to a mobile device, especially those of lowest socioeconomic status14.

It is worth noting that content validation excludes drawings and figures that facilitate understanding. It is understood that these items will be evaluated at another time in the study, which is the face validation of the application.

This study developed and validated the application of My latent tuberculosis treatment. The patient will have access to an easy-to-understand tool that will help and facilitate adherence throughout treatment. The participation of health professionals and patients was crucial to improve the application language, with the “clarity” domain being the one that needed the most reformulation.

ACKNOWLEDGMENTS

The authors acknowledge the Epidemiology Laboratorie (Lab-epi) and Espírito Santo Foundation for the Support of Research and Innovation (Fundação de Amparo à Pesquisa e Inovação do Espírito Santo, FAPES).

REFERENCES

  • 1 World Health Organization (WHO). Guideline: Recommendations on digital interventions for health system strengthening. Geneva: WHO; 2019. 123 p.
  • 2 Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Vigilância das Doenças Transmissíveis. Manual de recomendações para o controle da tuberculose no Brasil. 2ª edição. Brasília: MS; 2019. 364 p.
  • 3 World Health Organization (WHO). Latent tuberculosis infection: Updated and consolidated guidelines for programmatic management. Geneva: WHO ; 2018. 64 p.
  • 4 Miyazawa S, Matsuoka S, Hamana S, Nagai S, Nakamura H, Nirei K, et al. Isoniazid-induced acute liver failure during preventive therapy for latent tuberculosis infection. Intern Med. 2015;54(6):591-5.
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  • 6 Araújo NCN, Cruz CMS, Arriaga MB, Cubillos-Angulo JM, Rocha MS, Silveira-Mattos PS, et al. Determinants of losses in the latent tuberculosis cascade of care in Brazil: A retrospective cohort study. Int J Infect Dis. 2020;93:277-83.
  • 7 Vêscovi SDJB, Primo CC, Sant’Anna HC, Bringuete MEDO, Rohr RV, Prado TND. Aplicativo móvel para avaliação dos pés de pessoas com diabetes mellitus. Acta Paul Enferm. 2017;30(6):607-13.
  • 8 Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Vigilância das Doenças Transmissíveis. Protocolo de Vigilância da Infecção Latente pelo Mycobacterium tuberculosis no Brasil. 1ª edição. Brasília: MS ; 2018. 32 p.
  • 9 Pasquali L. Instrumentação psicológica: Fundamentos e práticas. Porto Alegre: Artmed; 2010. 560 p.
  • 10 Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Doenças de Condições Crônicas e Infecções Sexualmente Transmissíveis. Assistência do Enfermeiro à Pessoa com Tuberculose na Atenção Primária. 1ª edição. Brasília: MS ; 2021. 30 p.
  • 11 Medeiros RKS, Ferreira Júnior MA, Torres GV, Vitor AF, Santos VEP, Barichello E. Validação de conteúdo de instrumento sobre a habilidade em sondagem nasogástrica. Rev Eletr Enf. 2015;17(2):278-89.
  • 12 Alexandre NMC, Coluci MZO. Validade de conteúdo nos processos de construção e adaptação de instrumentos de medidas. Cien Saude Colet. 2011;16(7):3061-8.
  • 13 Whitehead L, Seaton P. The effectiveness of self-management mobile phone and tablet aplicativos in long-term condition management: a systematic review. J Med Internet Res. 2016; 8(5):e97.
  • 14 Getahun H, Matteelli A, Chaisson RE, Raviglione M. Latent Mycobacterium tuberculosis infection. N Engl J Med. 2015;372(22):2127-35.
  • 15 Ngwatu BK, Nsengiyumva NP, Oxlade O, Maplicativoin-Kasirer B, Nguyen NL, Jaramillo E, et al. The impact of digital health technologies on tuberculosis treatment: a systematic review. Eur Respir J. 2018;51(1):1-11.
  • Financial Support: This study was funded by the Espírito Santo Foundation for the Support of Research and Innovation, process 83134980.

Publication Dates

  • Publication in this collection
    25 Mar 2022
  • Date of issue
    2022

History

  • Received
    03 Sept 2021
  • Accepted
    24 Nov 2021
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