Ask PCOS: Identifying Need to Inform Evidence-Based App Development for Polycystic Ovary Syndrome

Boyle, Jacqueline; Xu, Rebecca; Gilbert, Emily W.; Kuczynska-Burggraf, Millicent; Tan, Bryan; Teede, Helena; Vincent, Amanda; Gibson-Helm, Melanie

doi:10.1055/s-0038-1667187

Cited by 22 publications

(9 citation statements)

References 20 publications

(20 reference statements)

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“…Women with PCOS in this study answered that they preferred to individually set goals and receive counselling with a medical staff regarding diet and exercise therapy, weight, menstrual cycle and their gynaecological symptoms. This is consistent with a previous study that reported that they prefer a dedicated, evidence‐based PCOS application allowing interaction with PCOS experts (Boyle et al, 2018). Mobile applications, including communication, can improve self‐management and behavioural promotion (diet, physical activity and mental health), making them suitable tools for lifestyle modification (Mukerjee, 2020).…”

Section: Discussionsupporting

confidence: 93%

“…Online intervention is a cost‐effective approach that can provide patient‐centred healthcare with high accessibility and low cost (Starren et al, 2005). Various studies on mobile health applications for women with PCOS have been conducted (Alotaibi & Shaman, 2020; Boyle et al, 2018; Xie et al, 2018), and a prior study has shown that women with PCOS can reduce management costs and time by sending private messages and receiving care to their medical staff via a mobile application (Alotaibi & Shaman, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Development of an integrated mobile application for lifestyle modification in women with polycystic ovarian syndrome

Choi

Lee

Yang

2022

Journal of Clinical Nursing

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Background Lifestyle modification is the primary treatment for overweight and obese women with polycystic ovarian syndrome (PCOS). Developing mobile applications that motivate and provide lifestyle modification advice and evidence‐based information for women with PCOS is needed. Aims This study is aimed at the development of an integrated mobile application for lifestyle modifications in women with PCOS. Methods This study is a development study to develop a lifestyle modification mobile application for PCOS based on a systematic review and needs analysis according to the ADDIE model. The survey was conducted consecutively on patients with PCOS who visited a university hospital in Incheon, Republic of Korea from 1 November 2020 to 28 February 2021. The questionnaire was developed based on prior literature, and validity was evaluated by experts. The survey investigated respondents’ general characteristics, the perceptions and needs, and the preferred components of integrated mobile application for lifestyle modification. The usability of the application was evaluated by experts. STROBE statement has been followed in this study. Results The lifestyle modification programme was confirmed to be clinical effect through a systematic review. The necessity application and high scores in preference of all components was confirmed in a survey. The mobile application included every amount of intake, exercise time, menstrual period, and daily weight compared with the target weight and BMI. It also included questionnaires on hirsutism and acne, disease information, and communication with the researcher for counselling purposes. The application will motivate users to participate by giving scores according to a goal achievement each day. In usability test, experts evaluate this mobile application as suitable for use. Conclusion In this study, an integrated mobile application was developed in consideration of the systematic review and needs analysis of women with PCOS. The effectiveness of the application will need to be verified through further research. Relevance to clinical practice This study developed an integrated mobile application including diet and exercise therapy, as well as weight and menstrual period management, questionnaires and disease information. In addition, the mobile application motivates women with PCOS to provide personalised counselling and achieve goals. We expect to use it in future studies for women with PCOS in clinical practice.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Development of an integrated mobile application for lifestyle modification in women with polycystic ovarian syndrome

Choi

Lee

Yang

2022

Journal of Clinical Nursing

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“…This study further adds to the growing body of evidence that supports the use of digital technologies in health care. eHealth and mHealth have already been extensively used as tools for education, diagnosis, and management of pathologies such as diabetes [ 35 , 36 ], pediatric rheumatology [ 37 ], polycystic ovarian syndrome [ 38 ], and alcoholism [ 39 ]. At present, there are limited approaches available that combine evidence-based practice with health apps [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Comparison of a Mobile Health Electronic Visual Analog Scale App With a Traditional Paper Visual Analog Scale for Pain Evaluation: Cross-Sectional Observational Study

et al. 2020

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Background Accurate quantification of pain in a clinical setting is vital. The use of an electronic pain scale enables data to be collected, analyzed, and utilized much faster compared with traditional paper-based scales. The advancement of smart technology in pediatric and adult pain evaluation may offer opportunities to introduce easy-to-use and reliable pain assessment methods within different clinical settings. If promptly introduced within different pediatric and adult pain clinic services, validated and easily accessible mobile health pain apps may lead to early pain detection, promoting improvement in patient’s quality of life and leading to potentially less time off from school or work. Objective This cross-sectional observational study aimed to investigate the interchangeability of an electronic visual analog scale (eVAS) app with a traditional paper visual analog scale (pVAS) among Australian children, adolescents, and adults for pain evaluation. Methods Healthy participants (age range 10-75 years) were recruited from a sporting club and a secondary school in Melbourne (Australia). The data collection process involved application of pressure (8.5 kg/cm2) from a Wagner Force Dial FDK 20 to the midpoint of the thumb. The pressure was applied twice with a 5-minute interval. At each pressure application, participants were asked to randomly record their pain perception using the “eVAS” accessible via the “Interactive Clinics” app and the traditional pVAS. Statistical analysis was conducted to determine intermethod and intramethod reliabilities. Results Overall, 109 healthy participants were recruited. Adults (mean age 42.43 years, SD 14.50 years) had excellent reliability, with an intraclass correlation coefficient (ICC) of 0.94 (95% CI 0.91-0.96). Children and adolescents (mean age 13.91 years, SD 2.89 years) had moderate-to-good intermethod and intramethod reliabilities, with an ICC of 0.80 (95% CI 0.70-0.87) and average ICC of 0.80 (95% CI 0.69-0.87), respectively. Conclusions The eVAS app appears to be interchangeable compared with the traditional pVAS among children, adolescents, and adults. This pain evaluation method may offer new opportunities to introduce user-friendly and validated pain assessment apps for patients, clinicians, and allied health professionals.

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“…Currently, more than 200 health apps are released daily, and in the last 2 years, the number of available apps has doubled to reach more than 300,000 [ 10 ]. This development, which has not been specifically regulated, has led to the diffusion of some poor-quality apps [ 11 , 12 ]. Apps are downloaded from one of the operating system stores (“Play Store” for Android and “App Store” for iOS), where they are valued based on only 2 criteria (ie, the number of downloads and the user ratings) [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing Apps for Patients with Genitourinary Tumors Using the Mobile Application Rating Scale (MARS): Systematic Search in App Stores and Content Analysis

Amor-García

Collado-Borrell

Escudero‐Vilaplana

et al. 2020

JMIR Mhealth Uhealth

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Background The large number of available cancer apps and their impact on the population necessitates a transparent, objective, and comprehensive evaluation by app experts, health care professionals, and users. To date, there have been no analyses or classifications of apps for patients with genitourinary cancers, which are among the most prevalent types of cancer. Objective The objective of our study was to analyze the quality of apps for patients diagnosed with genitourinary cancers using the Mobile Application Rating Scale (MARS) and identify high-quality apps. Methods We performed an observational cross-sectional descriptive study of all smartphone apps for patients diagnosed with genitourinary cancers available on iOS and Android platforms. In July 2019, we searched for all available apps for patients with genitourinary cancers (bladder, prostate, cervical, uterine, endometrial, kidney, testicular, and vulvar) or their caregivers. Apps were downloaded and evaluated, and the general characteristics were entered into a database. The evaluation was performed by 2 independent researchers using the MARS questionnaire, which rates 23 evaluation criteria clustered in 5 domains (Engagement, Functionality, Esthetics, Information, and Subjective Quality) on a scale from 1 to 5. Results In total, 46 apps were analyzed. Of these, 31 (67%) were available on Android, 6 (13%) on iOS, and 9 (20%) on both platforms. The apps were free in 89% of cases (41/46), and 61% (28/46) had been updated in the previous year. The apps were intended for prostate cancer in 30% of cases (14/46) and cervical cancer in 17% (8/46). The apps were mainly informative (63%, 29/46), preventive (24%, 11/46), and diagnostic (13%, 6/46). Only 7/46 apps (15%) were developed by health care organizations. The mean MARS score for the overall quality of the 46 apps was 2.98 (SD 0.77), with a maximum of 4.63 and a minimum of 1.95. Functionality scores were quite similar for most of the apps, with the greatest differences in Engagement and Esthetics, which showed acceptable scores in one-third of the apps. The 5 apps with the highest MARS score were the following: “Bladder cancer manager,” “Kidney cancer manager,” “My prostate cancer manager,” “Target Ovarian Cancer Symptoms Diary,” and “My Cancer Coach.” We observed statistically significant differences in the MARS score between the operating systems and the developer types (P<.001 and P=.01, respectively), but not for cost (P=.62). Conclusions MARS is a helpful methodology to decide which apps can be prescribed to patients and to identify which features should be addressed to improve these tools. Most of the apps designed for patients with genitourinary cancers only try to provide data about the disease, without coherent interactivity. The participation of health professionals in the development of these apps is low; nevertheless, we observed that both the participation of health professionals and regular updates were correlated with quality.

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Ask PCOS: Identifying Need to Inform Evidence-Based App Development for Polycystic Ovary Syndrome

Abstract: Women with PCOS would use a PCOS-specific app of good quality that responds to their needs and facilitates self-care; however, currently available apps are unlikely to meet their information needs.

Cited by 22 publications

References 20 publications

Development of an integrated mobile application for lifestyle modification in women with polycystic ovarian syndrome

Development of an integrated mobile application for lifestyle modification in women with polycystic ovarian syndrome

Comparison of a Mobile Health Electronic Visual Analog Scale App With a Traditional Paper Visual Analog Scale for Pain Evaluation: Cross-Sectional Observational Study

Assessing Apps for Patients with Genitourinary Tumors Using the Mobile Application Rating Scale (MARS): Systematic Search in App Stores and Content Analysis

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