Evaluating the quality of mobile health apps for maternal and child health (MCH)

Indiana University-Purdue University Indianapolis (IUPUI)Introduction Mobile health (mHealth) applications (apps) are increasingly accessible and popular. In 2015, over 60% of smartphone users used their phones to look up health related information. mHealth apps related to maternal and child health (MCH) are particularly prevalent and frequently used. As high as 73% pregnant women and new mothers reported the use of MCH apps, with 27% using them daily. Methods A cross-sectional sample of MCH apps was extracted from the Apple App and Google Play stores using a JavaScript Scraper program. A multivariable linear regression, and series of ordinal logistic regression assessed the relationship between MCH app characteristics and two outcomes, end users’ perceived satisfaction (star ratings), and intent to use (downloads). Next, theory-based content analysis reviewed the presence and use of behavior change techniques (BCTs) in popular MCH apps using the mHealth app taxonomy framework. Finally, a qualitative inductive analysis assessed user self-reported experiences, perceived benefits, and general feedback for MCH apps. Results Seven hundred and forty-two apps met the inclusion criteria. A large majority of MCH apps were developed by non-healthcare developers. Google Play store apps had higher user ratings; while, apps within health & fitness genre, with older updates, and no agerestrictions had fewer user ratings. Furthermore, lower priced apps, with high star ratings, in-app purchase options, and in-app advertisement presence had high downloads. And, apps belonging to medical and health & fitness genre had fewer user downloads. Content analysis revealed that popular MCH apps on an average include 7.4 behavior change techniques (BCTs) with a median of 6 BCTs. Apps developed by healthcare developers had higher BCTs present within app content. Qualitative analysis shows that consumers value apps that are low cost, with superior features, smooth technical aspects, high quality content, and easy to use. Conclusions Healthcare providers, app developers, and policymakers may benefit from a better understanding of MCH apps available in two popular app stores and may consider strategies to review and promote apps to consumers based on information accuracy and trustworthiness.2020-11-0

The Health of the Serbian Roma/Gypsies: A Research Report

The Balkan region is densely populated by Roma, a socially disadvantaged, stigmatized and relatively reproductively isolated ethnic group. Health data from across Europe show that being a Roma is associated with much poorer health status than is seen in the majority populations or among other ethnic minority groups. These data may not be accurate as the number of Roma was grossly underestimated. Almost nothing is known about the health of Serbian Roma. In this presentation we describe the results of a 2014 study of Serbian Roma women living in two settlements in the northern province of Serbia, with a focus placed on investigating health history of the females and their close kin. We focused on health concerns and on behaviors that are protective or that increase risk for chronic diseases (e.g., cancer, diabetes, and cardiovascular diseases). A special focus placed on reproductive histories

Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study

Background: Mobile health apps related to maternal and infant health (MIH) are prevalent and frequently used. Some of these apps are extremely popular and have been downloaded over 5 million times. However, the understanding of user behavior and user adoption of these apps based on consumer preferences for different app features and categories is limited. Objective: This study aimed to examine the relationship between MIH app characteristics and users’ perceived satisfaction and intent to use. Methods: The associations between app characteristics, ratings, and downloads were assessed in a sample of MIH apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. Multivariable linear regression was used to assess the relationship between app characteristics and user ratings, and ordinal logistic regression was used to assess the relationship between app characteristics and user downloads. Results: The analyses of user ratings and downloads included 421 and 213 apps, respectively. The average user rating was 3.79 out of 5. Compared with the Apple App Store, the Google Play Store was associated with high user ratings (beta=.33; P =.005). Apps with higher standardized user ratings (beta=.80; P <.001), in-app purchases (beta=1.12; P =.002), and in-app advertisements (beta=.64; P =.02) were more frequently downloaded. Having a health care organization developer as part of the development team was neither associated with user ratings (beta=−.20; P =.06) nor downloads (beta=−.14; P =.63). Conclusions: A majority of MIH apps are developed by non–health care organizations, which could raise concern about the accuracy and trustworthiness of in-app information. These findings could benefit app developers in designing better apps and could help inform marketing and development strategies. Further work is needed to evaluate the clinical accuracy of information provided within the apps. [JMIR Mhealth Uhealth 2020;8(1):e15663

Fighting Prescription Drug Abuse Through State Policy: The Role of Nursing in Successful Implementation

Prescription drug abuse has become a top public health concern in the United States in recent years. Changes in prescribing practices and the way in which health providers manage pain resulted from national quality improvement efforts in the 1990s. Most efforts to reduce morbidity and mortality associated with the prescription drug abuse epidemic occur through policy initiatives at the state level. In 2011, Indiana ranked 17th in the United States and had only implemented a few intervention and prevention strategies. However, through a coordinated effort within the state, Indiana has expanded Good Samaritan laws and adopted rescue drug policies. Furthermore, the nursing workforce in Indiana has played a critical role in the successful implementation of these new policies. Nurses across the state have provided education and training to first responders and lay persons. They have also consulted with law enforcement agencies and other organizations looking to fully leverage the potential of these new state policies. Because of their versatility and clinical expertise, the nursing workforce has and will continue to play a critical role in the successful implementation of state policy initiatives aimed at fighting the prescription drug abuse epidemic

Evaluating the network adequacy of vision care services for children in Arizona: A cross sectional study

Background: Vision challenges are among the most prevalent disabling conditions in childhood, affecting up to 28% of school-age children. These issues can impact the development, learning, and literacy skills of affected children. While vision problems are correctable with timely diagnosis and treatment, insufficient networks can impede children's access to comprehensive, and high-quality care. Objective: The study aims to determine where pediatric vision care network adequacy exists in the state of Arizona and where there are gaps in receiving vision care for children. Methods: This cross-sectional study assessed the adequacy of pediatric vision care networks in Arizona through a “secret shopper” phone survey. Calls were made to practices that accept Arizona's Medicaid program, Arizona Health Care Cost Containment System (AHCCCS) and/or commercial insurance. Providers were contacted following a standardized script to schedule routine appointments on behalf of 10 and 3-year-old patients enrolled in either Medicaid or commercial health insurance plans. The study examined various components of children's access to vision care services, including the reliability of provider directory information, time until the next available appointment, bilingual service offerings, ages served, region of practice and types of care available. Results: A total of 556 practices in Arizona were evaluated through simulations as patients on AHCCCS, and 510 practices were assessed through simulations as patients with commercial health insurance plans. The average wait time for the next available appointment was 13 days for both insurance types. Alarmingly, up to 74% of vision care practices in Arizona do not serve children covered by AHCCCS. Furthermore, only 41% provide services to children 5 years and younger. Conclusions: Our findings underscore the need to improve access to vision care services for children in Arizona, especially racial/ethnic minorities, low-income groups, and rural residents

Decision fusion in healthcare and medicine : a narrative review

Objective: To provide an overview of the decision fusion (DF) technique and describe the applications of the technique in healthcare and medicine at prevention, diagnosis, treatment and administrative levels. Background: The rapid development of technology over the past 20 years has led to an explosion in data growth in various industries, like healthcare. Big data analysis within the healthcare systems is essential for arriving to a value-based decision over a period of time. Diversity and uncertainty in big data analytics have made it impossible to analyze data by using conventional data mining techniques and thus alternative solutions are required. DF is a form of data fusion techniques that could increase the accuracy of diagnosis and facilitate interpretation, summarization and sharing of information. Methods: We conducted a review of articles published between January 1980 and December 2020 from various databases such as Google Scholar, IEEE, PubMed, Science Direct, Scopus and web of science using the keywords decision fusion (DF), information fusion, healthcare, medicine and big data. A total of 141 articles were included in this narrative review. Conclusions: Given the importance of big data analysis in reducing costs and improving the quality of healthcare; along with the potential role of DF in big data analysis, it is recommended to know the full potential of this technique including the advantages, challenges and applications of the technique before its use. Future studies should focus on describing the methodology and types of data used for its applications within the healthcare sector

Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis

Background: Despite the popularity of maternal and infant health mobile apps, ongoing consumer engagement and sustained app use remain barriers. Few studies have examined user experiences or perceived benefits of maternal and infant health app use from consumer perspectives. Objective: This study aims to assess users' self-reported experiences with maternal and infant health apps, perceived benefits, and general feedback by analyzing publicly available user reviews on two popular app stores-Apple App Store and Google Play Store. Methods: We conducted a qualitative assessment of publicly available user reviews (N=2422) sampled from 75 maternal and infant health apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. The reviews were coded and analyzed using a general inductive qualitative content analysis approach. Results: The three major themes included the following: app functionality, where users discussed app features and functions; technical aspects, where users talked about technology-based aspects of an app; and app content, where users specifically focused on the app content and the information it provides. The six minor themes included the following: patterns of use, where users highlighted the frequency and type of use; social support, where users talked about receiving social support from friends, family and community of other users; app cost, where users talked about the cost of an app within the context of being cost-effective or a potential waste of money; app comparisons, where users compared one app with others available in app stores; assistance in health care, where users specifically highlighted the role of an app in offering clinical assistance; and customer care support, where users specifically talked about their interaction with the app customer care support team. Conclusions: Users generally tend to value apps that are of low cost and preferably free, with high-quality content, superior features, enhanced technical aspects, and user-friendly interfaces. Users also find app developer responsiveness to be integral, as it offers them an opportunity to engage in the app development and delivery process. These findings may be beneficial for app developers in designing better apps, as no best practice guidelines currently exist for the app environment

Innovations in U.S. Health Care Delivery to Reduce Disparities in Maternal Mortality Among African American and American Indian/Alaskan Native Women

Despite spending more on health care than any other country, the United States has the worst maternal mortality rate among all developed nations. African American and American Indian/Alaskan Native women have the worst outcomes by race, representing a stark health disparity within the country. Contributing factors disproportionately experienced by these minority populations include challenges of access to consistent and high-quality prenatal care, prevalence of underlying conditions, toxic stress due to systemic racism, and unconscious bias in health care. While many of these factors lie upstream in the lives of women, and seemingly beyond the scope of the clinical walls, the downstream health care delivery system can serve as a vital part of the solution via innovative practices, community-based collaborations, and by serving as advocates for the communities served. Such alignments between clinicians, community leaders, policymakers, and patients that extend beyond the health system can serve as the missing piece needed within the clinic to reverse the trajectory of maternal mortality for American women, especially those from traditionally underserved populations

Innovations in U.S. Health Care Delivery to Reduce Disparities in Maternal Mortality Among African American and American Indian/Alaskan Native Women

Despite spending more on health care than any other country, the United States has the worst maternal mortality rate among all developed nations. African American and American Indian/Alaskan Native women have the worst outcomes by race, representing a stark health disparity within the country. Contributing factors disproportionately experienced by these minority populations include challenges of access to consistent and high-quality prenatal care, prevalence of underlying conditions, toxic stress due to systemic racism, and unconscious bias in health care. While many of these factors lie upstream in the lives of women, and seemingly beyond the scope of the clinical walls, the downstream health care delivery system can serve as a vital part of the solution via innovative practices, community-based collaborations, and by serving as advocates for the communities served. Such alignments between clinicians, community leaders, policymakers, and patients that extend beyond the health system can serve as the missing piece needed within the clinic to reverse the trajectory of maternal mortality for American women, especially those from traditionally underserved populations

Improving Patient-Doctor Communication About Risk and Choice in Obstetrics and Gynecology Through Medical Education: A Call for Action.

The authors suggest that three articles published in the Fall 2013 issue of The Journal of Clinical Ethics could be used in graduate medical education to help students be more prepared to address differences in professional opinion and improve their skills in patient-doctor communication