Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application

Al-Abbadey, Miznah; Fong, Megan; Wilde, Laura Joanne; Ingham, Roger; Ghio, Daniela

doi:10.1177/20552076211014988

Cited by 10 publications

(10 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The success of mobile applications has increased in the past years. Parents have requested web-based ways to describe and express their worries to professionals [ 70 ].…”

Section: Introductionmentioning

confidence: 99%

Family Needs Checklist: Development of a Mobile Application for Parents with Children to Assess the Risk for Child Maltreatment

Rantanen

Nieminen

Kaunonen

et al. 2022

IJERPH

View full text Add to dashboard Cite

Child maltreatment (CM) has been enormously studied. However, a preventive practice still requires comprehensive and effective instruments to assess the risks for CM in a family context. The aim of this study is to describe the development process of an evidence-based CM risk assessment instrument (Family Needs Checklist, FNC) for primary prevention online utilization. This article reports the development process of the checklist and its mobile application, consisting of a systematic literature review, identification of known risk factors using the content analysis method, and generation of the checklist, including a multidisciplinary group in the design and feedback. As a result, a comprehensive and compact checklist was developed to be used by parents or caregivers as a self-referral instrument with an option to be used with professionals as a basis for joint conversations. The FNC consists of parental, family-, and child-related risk factors. Based on the international evidence, the online application consists of knowledge about different CM types, information about risk factors and protective factors as well as recommendations and guidance to support services. The FNC is based on robust evidence on known risk factors causing CM in families. It can be used for primary prevention utilization in the general population.

show abstract

“…The success of mobile applications has increased in the past years. Parents have requested web-based ways to describe and express their worries to professionals [ 70 ].…”

Section: Introductionmentioning

confidence: 99%

Family Needs Checklist: Development of a Mobile Application for Parents with Children to Assess the Risk for Child Maltreatment

Rantanen

Nieminen

Kaunonen

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…There have been few studies on Chinese mHealth app user reviews, and our findings contribute novel data to this field by exploring the opinions of Chinese app users. Comparing the themes and topics identified in this study with those in previous studies revealed support, sports fitness management, diet management, outcomes such as weight loss and fitness, usability, and use cost as common areas of focus among app users in China, Europe, and the US. However, Chinese users’ attention to non–health intervention services and user interface was rarely found in app store research .…”

Section: Discussionmentioning

confidence: 64%

“…Comparing the themes and topics identified in this study with those in previous studies revealed support, sports fitness management, diet management, outcomes such as weight loss and fitness, usability, and use cost as common areas of focus among app users in China, Europe, and the US. However, Chinese users’ attention to non–health intervention services and user interface was rarely found in app store research . This may be attributable to the competitive app market in China.…”

Section: Discussionmentioning

confidence: 64%

Use of Machine Learning to Mine User-Generated Content From Mobile Health Apps for Weight Loss to Assess Factors Correlated With User Satisfaction

et al. 2022

View full text Add to dashboard Cite

IMPORTANCEThe effectiveness of mobile health (mHealth) apps for reducing obesity is not ideal in daily life. Therefore, it would be useful to explore factors associated with user satisfaction with weight loss apps. Currently, research on these factors from the perspective of user-generated content is lacking. OBJECTIVE To mine the themes and topics frequently discussed in user-generated content in mHealth apps for weight loss, explore correlations of the topics with user satisfaction and dissatisfaction, and assess whether these correlations were asymmetric. DESIGN, SETTING, AND PARTICIPANTSIn this population-based cross-sectional study, unsupervised machine learning was used to identify themes and topics in online discussions generated between January 1, 2019, and May 20, 2021, by Chinese users of mHealth apps for weight loss. MAIN OUTCOMES AND MEASURESBased on the 2-factor theory, a tobit regression model was used to explore the correlation of various app discussion topics with user satisfaction and dissatisfaction. Differences of the coefficients in models of positive rating deviation (PD) and negative rating deviation (ND), defined as the difference between the users' rating of the app and the app's comprehensive rating in the app stores, were analyzed by the Wald test. RESULTSIn total, 191 619 reviews and ratings from unique usernames were collected for 2139 weight loss apps; 86 423 reviews (45.1%) from 339 apps (15.8%) were included in the study. Most users (65 249 [75.5%]) were satisfied with the mHealth app. Eighteen topics were identified and summarized into 9 themes. Nine topics had significant positive correlations with the PD of user satisfaction, and 6 had significant negative correlations. The factor with the strongest positive correlation with the PD was celebrity effect (β = 0.307; 95% CI, 0.290-0.323), and the factor with the weakest correlation was economic cost (β = −0.426; 95% CI, −0.447 to −0.406). Nine topics had significant positive correlations with the ND of user satisfaction, whereas 7 topics had significant negative correlations. The factor with the strongest positive correlation with the ND was fitness effect (β = 1.369; 95% CI, 1.283-1.455), and the factor with the strongest negative correlation was economic cost (β = −2.813; 95% CI, −2.875 to −2.751). There were significant differences in the PD and ND of user satisfaction. Nine motivation factors (ie, value-added attributes) and 7 hygiene factors (ie, user-expected attributes) for mHealth apps were identified. CONCLUSIONS AND RELEVANCEIn this cross-sectional study, 16 factors had asymmetric correlations with user satisfaction and dissatisfaction with weight loss apps; 7 were related to basic expected attributes of the apps and 9 to value-added attributes. By distinguishing between expected and value-added factors, the use of weight loss apps may be improved.

show abstract

“…These keywords were used to search for online payday loan services in the Google Play Store. Google Play Store was chosen because it offers more convenience and flexibility compared to the Apple Store, as Google Play can be accessed through laptops and computers (Al-Abbadey et al, 2021). Data was retrieved by means of a crawler developed in the Python programming language.…”

Section: Methods App Search and Filteringmentioning

confidence: 99%

“…To investigate the landscape of the online payday loan market in both Indonesia and the USA, a list of key terms was specifically generated, such as “payday loan,” “payday advance,” “salary loan,” “payroll loan,” “small dollar loan,” “short-term” and “cash advance loan.” These keywords were used to search for online payday loan services in the Google Play Store. Google Play Store was chosen because it offers more convenience and flexibility compared to the Apple Store, as Google Play can be accessed through laptops and computers (Al-Abbadey et al , 2021). Data was retrieved by means of a crawler developed in the Python programming language.…”

Section: Methodsmentioning

confidence: 99%

Behind the curtain of payday lending: revealing consumer insights and ethical challenges in Indonesia and the USA using web-scraping methods

Hati¹,

Latip²

2023

IJOES

View full text Add to dashboard Cite

Purpose This paper aims to explore the consumer insights and ethical concerns surrounding the online payday loan services available in the Google Play Store. This research was conducted to compare whether the presence or absence of debt collection protection acts in a country creates differences in consumer experiences regarding the ethics of payday loan collection. Specifically, the study compares customers’ experiences in both the Indonesian and US markets. Design/methodology/approach Indonesia and the USA were chosen because they have very different regulatory structures for the payday loan industry. The data was scraped using Python from 27 payday loan apps on the Indonesian Play Store, resulting in a total of 244,697 reviews extracted from the Indonesian market. For the US market, 446,010 reviews were extracted from 14 payday loan apps. The data was further analyzed using NVIVO. Findings The results suggest that consumers of payday loans in Indonesia and the USA hold positive views about the benefits of payday loan apps, as revealed by the word frequency and word cloud analysis. Notably, customers in both countries did not express any negative sentiments regarding the unethical interest rate charged by the payday loan, contradicting what is commonly reported in academic literature. However, a distinct pattern of unethical conduct was observed in both countries concerning marketing communication and debt collection practices. In the Indonesian market, payday loan companies were found to engage in unethical debt collection activities. In the US market, payday lenders exhibited unethical behavior in their marketing communication, particularly through deceptive advertising that makes promises to consumers that are not delivered. Originality/value The study aims to provide evidence on the various experiences of customers in the presence and absence of debt collection regulations using a novel methodology and a large sample, which strengthens the results and conclusions of the study. The study also intends to inform policymakers, particularly the Indonesian government, about the need for specific laws to regulate the debt collection process and prevent unethical practices. Ultimately, the study is expected to protect the rights of consumers from a deceptive marketing communication or unethical debt collection practices in both the Indonesian and US markets.

show abstract

Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application

Cited by 10 publications

References 40 publications

Family Needs Checklist: Development of a Mobile Application for Parents with Children to Assess the Risk for Child Maltreatment

Family Needs Checklist: Development of a Mobile Application for Parents with Children to Assess the Risk for Child Maltreatment

Use of Machine Learning to Mine User-Generated Content From Mobile Health Apps for Weight Loss to Assess Factors Correlated With User Satisfaction

Behind the curtain of payday lending: revealing consumer insights and ethical challenges in Indonesia and the USA using web-scraping methods

Contact Info

Product

Resources

About