Privacy in Mobile Health Applications for Breast Cancer Patients

Benjumea, Jaime; Dorronzoro, Enrique; Ropero, Jorge; Rivera-Romero, Octavio; Carrasco, Alejandro

doi:10.1109/cbms.2019.00131

Cited by 9 publications

(5 citation statements)

References 24 publications

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“…Privacy policy fairness of 4 included apps had been previously analyzed in Benjumea et al [ 38 ]: App1, App4, App7, and App12. Despite the minor modifications in the scale for the second iteration, App4, App7, and App12 did not change their scores (even though App7 had recently updated its privacy policy).…”

Section: Resultsmentioning

confidence: 99%

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Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps

Benjumea

Ropero

Rivera-Romero

et al. 2020

JMIR Mhealth Uhealth

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Background Cancer patients are increasingly using mobile health (mHealth) apps to take control of their health. Many studies have explored their efficiency, content, usability, and adherence; however, these apps have created a new set of privacy challenges, as they store personal and sensitive data. Objective The purpose of this study was to refine and evaluate a scale based on the General Data Protection Regulation and assess the fairness of privacy policies of mHealth apps. Methods Based on the experience gained from our previous work, we redefined some of the items and scores of our privacy scale. Using the new version of our scale, we conducted a case study in which we analyzed the privacy policies of cancer Android apps. A systematic search of cancer mobile apps was performed in the Spanish version of the Google Play website. Results The redefinition of certain items reduced discrepancies between reviewers. Thus, use of the scale was made easier, not only for the reviewers but also for any other potential users of our scale. Assessment of the privacy policies revealed that 29% (9/31) of the apps included in the study did not have a privacy policy, 32% (10/31) had a score over 50 out of a maximum of 100 points, and 39% (12/31) scored fewer than 50 points. Conclusions In this paper, we present a scale for the assessment of mHealth apps that is an improved version of our previous scale with adjusted scores. The results showed a lack of fairness in the mHealth app privacy policies that we examined, and the scale provides developers with a tool to evaluate their privacy policies.

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Section: Resultsmentioning

confidence: 99%

“…In our previous work [ 38 ], we developed a scale to assess the fairness of the privacy policies of mHealth apps. The objective of our scale was to analyze privacy policies in a systematic way and design a GDPR-based system to assess and improve such policies.…”

Section: Methodsmentioning

confidence: 99%

Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps

Benjumea

Ropero

Rivera-Romero

et al. 2020

JMIR Mhealth Uhealth

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“…It also tells about histological slide description, image processing techniques for automated histopathology analysis and breast cancer. [7] the authors in this paper analyzed the privacy policy of mHealth apps for breast cancer patients, developing a scale to check if GDPR is complied. Despite privacy being a key factor in the adoption of the use of mHealth apps, the low level of compliance with the GDPR of the analyzed applications was quite surprising.…”

Section: Literature Surveymentioning

confidence: 99%

Breast Cancer Detection

Ahirrao¹,

Bhoeer²,

Patil³

et al. 2020

Int. j. eng. manag. res.

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Breast Cancer is highly predominant in women in today’s world. It starts in the breast during the initial stages and spreads to other areas of the body after some period of time. Breast cancer is the second-largest disease leading to the death of women. The disease is curable if detected early enough. Breast Cancer Application monitors the abnormal growth of breast cells during the early stages. They are often diagnosed during the advanced stages of breast cancer. It is the second most diagnosed cancer in women, affecting one in every eight women. Our project comprises two modules, first consists of an application with user login and self-test examine section where and the second section consists of identifying benign and malignant cells. The second section will be used by doctors' side for the detection of abnormalities of breasts as early as possible by providing the user screening data set. It contains Machine Learning techniques for the classification of malignant and benign tumors. There are more treatment options and a better chance of survival. If breast cancer is detected during the early stages then there is a 93 percent of higher survival rate in the first five years.

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“…Privacy policy fairness of 4 included apps had been previously analyzed in Benjumea et al [38]: App1, App4, App7, and App12.…”

Section: Xsl • Fomentioning

confidence: 99%

Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps (Preprint)

Benjumea¹,

Ropero²,

Rivera-Romero³

et al. 2019

Preprint

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BACKGROUND Cancer patients are increasingly using mobile health (mHealth) apps to take control of their health. Many studies have explored their efficiency, content, usability, and adherence; however, these apps have created a new set of privacy challenges, as they store personal and sensitive data. OBJECTIVE The purpose of this study was to refine and evaluate a scale based on the General Data Protection Regulation and assess the fairness of privacy policies of mHealth apps. METHODS Based on the experience gained from our previous work, we redefined some of the items and scores of our privacy scale. Using the new version of our scale, we conducted a case study in which we analyzed the privacy policies of cancer Android apps. A systematic search of cancer mobile apps was performed in the Spanish version of the Google Play website. RESULTS The redefinition of certain items reduced discrepancies between reviewers. Thus, use of the scale was made easier, not only for the reviewers but also for any other potential users of our scale. Assessment of the privacy policies revealed that 29% (9/31) of the apps included in the study did not have a privacy policy, 32% (10/31) had a score over 50 out of a maximum of 100 points, and 39% (12/31) scored fewer than 50 points. CONCLUSIONS In this paper, we present a scale for the assessment of mHealth apps that is an improved version of our previous scale with adjusted scores. The results showed a lack of fairness in the mHealth app privacy policies that we examined, and the scale provides developers with a tool to evaluate their privacy policies.

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Privacy in Mobile Health Applications for Breast Cancer Patients

Cited by 9 publications

References 24 publications

Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps

Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps

Breast Cancer Detection

Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps (Preprint)

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