Quantity and type of peer-reviewed evidence for popular free medical apps: Cross-sectional review

Experiences of users of period tracking apps: which app, frequency of use, data input and output and attitudes

RESEARCH QUESTION

What are the experiences of users of period tracking apps in relation to which apps they use, their frequency of use, the type of data and their attitudes to period tracking apps?

DESIGN

This was an observational mixed-methods study using an online survey designed using Qualtrics XM. The survey included 50 open-ended and multiple choice questions, but only specific questions were analysed in this study. The survey was promoted via social media for 22 days between 30 June and 21 July 2021.

RESULTS

Of the 375 total participants, 326 responses were complete and included in analysis. In the results section further down, this is explained as 330 complete responses, with 4 additional responses excluded due to data inconsistencies. The participants' age range was 14-54 years, with a mean of 26.0 (±7.81) years. Most participants (61.9%) had been using a period tracking app for 2 years or longer. Of these 85.6% entered more data when on their period, 31% at a frequency of once a day. There were approximately equivalent proportions of participants who felt that entering data into their app was either 'part of their normal routine' (43.3%) or 'not a priority' (38.0%). Thematic analysis of the participants' experiences of using period-tracking apps revealed five main themes: symptom tracking and understanding general health; concerns with period start date predictions; the problems with fertility tracking; concerns about cost; and concerns about data privacy.

CONCLUSIONS

The infrequency of data inputting and the wide range of symptoms tracked reflects the differing needs of participants from their period-tracking apps. This highlights the need for increased education and research into understanding the realities of variations in using apps.

Mobile Application Increased Nutrition Knowledge Among Brazilian Physicians

OBJECTIVE

To assess whether using a Dietary Approaches to Stop Hypertension (DASH) diet recommendation application increases primary care physicians' knowledge and dietary counseling skills.

DESIGN

A randomized controlled trial.

SETTING

Brazilian public primary care service.

PARTICIPANTS

Two hundred and twenty-two physicians (intervention group: n = 111; control group: n = 111).

INTERVENTION

Thirty days of using the Dieta Dash application. The application provides information about nutritional recommendations for hypertension management.

MAIN OUTCOME MEASURES

Nutrition knowledge score.

SECONDARY OUTCOMES

self-assessment of knowledge, self-confidence, assessment of eating habits, and barriers to dietary counseling.

ANALYSIS

Linear mixed-effects models for repeated measures and generalized estimating equations for comparing changes between groups.

RESULTS

A total of 66.2% of participants completed the follow-up. There was no significant difference between the groups regarding the mean knowledge score (P = 0.15). The prevalence of high knowledge increased by 12% (prevalence ratio [PR] = 1.12; 95% confidence interval [CI], 1.00-1.25) in the intervention group and showed an improvement in the self-confidence assessment (PR = 1.21; 95% CI, 1.02-1.44), and increased assessment of eating habits (PR = 1.26; 95% CI, 1.10-1.55).

CONCLUSIONS AND IMPLICATIONS

The Dieta Dash application helped address dietary counseling, improving knowledge and self-confidence. However, innovative strategies are needed to minimize the primary care barriers.

Preferences and Satisfaction Toward an Orthodontic Clinical App

OBJECTIVES

 To promote the development of professional orthodontic apps and to grow app engagement, many contributing factors should first be scrutinized. The main purpose of this research was to assess whether gap analysis facilitates strategic app design.

MATERIALS AND METHODS

 Gap analysis was first conducted to reveal users' preferences. Then, the OrthoAnalysis app was developed on an Android operating system using Java programming language. Finally, a self-administered survey was issued to 128 orthodontic specialists to assess their satisfaction toward usage of the app.

STATISTICAL ANALYSIS

 The content validity of the questionnaire was ascertained using an index of Item-Objective Congruence of more than 0.5. The reliability of the questionnaire was also analyzed with Cronbach's Alpha reliability coefficient (ɑ = 0.87).

RESULTS

 Besides the most important factor, "content," many issues were listed, and all were required to engage users. A strong and engaging app should show accurate, trustworthy, and practical clinical analysis that operates smoothly and fast with ease, along with a user-friendly, appealing, and trustworthy interface. In short, because of the preliminary gap analysis that was done to evaluate the potential app engagement power prior to app design, the result of the satisfaction assessment showed that nine traits including overall satisfaction were of high levels.

CONCLUSIONS

 Orthodontic specialists' preferences were assessed using gap analysis and an orthodontic app was designed and appraised. This article presents the orthodontic specialists' preferences and summarizes the process of achieving app satisfaction. Therefore, to create a clinical app with strong engagement power, a strategic initial plan using gap analysis can be recommended.

A survey of women’s experiences of using period tracker applications: Attitudes, ovulation prediction and how the accuracy of the app in predicting period start dates affects their feelings and behaviours

Introduction:

Using an online survey, the aim of this study was to ask women about their real-life experiences of using period tracker apps, their attitudes towards using their app, the information the app provided regarding ovulation and how the accuracy of the app in predicting period start dates affects their feelings and behaviours if their period comes earlier or later than predicted.

Methods:

This mixed-methods observational study was conducted by an online survey of 50 multiple-choice and open-ended questions. The survey was generated with Qualtrics XM^® and promoted via social media. It was open to any person who had used a period tracker.

Results:

From 375 total responses, 330 complete responses were obtained, giving a completion rate of 88.0%. Respondents were aged between 14 and 54, with a mean age of 26.0 (±7.81). When asked what was the best thing about using the app, 29.7% (98/330) of respondents selected ‘To know when I’m ovulating’. Respondents were asked if their period ever started earlier than the app predicted; 54.9% (189/330) said it had and 72.1% (238/330) said it had started later than predicted. When asked how they felt if their period arrived earlier or later than expected, thematic analysis of periods starting earlier revealed four themes: feeling unaffected, being frustrated/unprepared, feeling anxious/stressed and feeling confused/intrigued. Thematic analysis when their period arrived later revealed six themes: anxious/concerned about pregnancy, disappointed about pregnancy, seeking advice/informing healthcare professionals, thoughts about menopause, feeling unaffected and being better prepared.

Conclusion:

Period trackers need to be clearer on their intended use and reliability, especially for period due date and ovulation. Qualitative analysis shows the impact of inaccurate predictions on aspects of the users’ health. This study calls for period tracker app companies to update their apps to provide transparency to their users about their intended use and capabilities.