Effects of Recall and Selection Biases on Modeling Cancer Risk From Mobile Phone Use: Results From a Case-Control Simulation Study.

BACKGROUND: The largest case-control study (Interphone study) investigating glioma risk related to mobile phone use showed a J-shaped relationship with reduced relative risks for moderate use and a 40% increased relative risk among the 10% heaviest regular mobile phone users, using a categorical risk model based on deciles of lifetime duration of use among ever regular users. METHODS: We conducted Monte Carlo simulations examining whether the reported estimates are compatible with an assumption of no effect of mobile phone use on glioma risk when the various forms of biases present in the Interphone study are accounted for. Four scenarios of sources of error in self-reported mobile phone use were considered, along with selection bias. Input parameters used for simulations were those obtained from Interphone validation studies on reporting accuracy and from using a nonresponse questionnaire. RESULTS: We found that the scenario simultaneously modeling systematic and random reporting errors produced a J-shaped relationship perfectly compatible with the observed relationship from the main Interphone study with a simulated spurious increased relative risk among heaviest users (odds ratio = 1.91) compared with never regular users. The main determinant for producing this J shape was higher reporting error variance in cases compared with controls, as observed in the validation studies. Selection bias contributed to the reduced risks as well. CONCLUSIONS: Some uncertainty remains, but the evidence from the present simulation study shifts the overall assessment to making it less likely that heavy mobile phone use is causally related to an increased glioma risk.

Associations between COVID-19 mobility restrictions and economic, mental health, and suicide-related concerns in the US using cellular phone GPS and Google search volume data.

During the COVID-19 pandemic, US populations have experienced elevated rates of financial and psychological distress that could lead to increases in suicide rates. Rapid ongoing mental health monitoring is critical for early intervention, especially in regions most affected by the pandemic, yet traditional surveillance data are available only after long lags. Novel information on real-time population isolation and concerns stemming from the pandemic's social and economic impacts, via cellular mobility tracking and online search data, are potentially important interim surveillance resources. Using these measures, we employed transfer function model time-series analyses to estimate associations between daily mobility indicators (proportion of cellular devices completely at home and time spent at home) and Google Health Trends search volumes for terms pertaining to economic stress, mental health, and suicide during 2020 and 2021 both nationally and in New York City. During the first pandemic wave in early-spring 2020, over 50% of devices remained completely at home and searches for economic stressors exceeded 60,000 per 10 million. We found large concurrent associations across analyses between declining mobility and increasing searches for economic stressor terms (national proportion of devices at home: cross-correlation coefficient (CC) = 0.6 (p-value <0.001)). Nationally, we also found strong associations between declining mobility and increasing mental health and suicide-related searches (time at home: mood/anxiety CC = 0.53 (<0.001), social stressor CC = 0.51 (<0.001), suicide seeking CC = 0.37 (0.006)). Our findings suggest that pandemic-related isolation coincided with acute economic distress and may be a risk factor for poor mental health and suicidal behavior. These emergent relationships warrant ongoing attention and causal assessment given the potential for long-term psychological impact and suicide death. As US populations continue to face stress, Google search data can be used to identify possible warning signs from real-time changes in distributions of population thought patterns.

Genomics, social media and mobile phone data enable mapping of SARS-CoV-2 lineages to inform health policy in Bangladesh.

Genomics, combined with population mobility data, used to map importation and spatial spread of SARS-CoV-2 in high-income countries has enabled the implementation of local control measures. Here, to track the spread of SARS-CoV-2 lineages in Bangladesh at the national level, we analysed outbreak trajectory and variant emergence using genomics, Facebook 'Data for Good' and data from three mobile phone operators. We sequenced the complete genomes of 67 SARS-CoV-2 samples (collected by the IEDCR in Bangladesh between March and July 2020) and combined these data with 324 publicly available Global Initiative on Sharing All Influenza Data (GISAID) SARS-CoV-2 genomes from Bangladesh at that time. We found that most (85%) of the sequenced isolates were Pango lineage B.1.1.25 (58%), B.1.1 (19%) or B.1.36 (8%) in early-mid 2020. Bayesian time-scaled phylogenetic analysis predicted that SARS-CoV-2 first emerged during mid-February in Bangladesh, from abroad, with the first case of coronavirus disease 2019 (COVID-19) reported on 8 March 2020. At the end of March 2020, three discrete lineages expanded and spread clonally across Bangladesh. The shifting pattern of viral diversity in Bangladesh, combined with the mobility data, revealed that the mass migration of people from cities to rural areas at the end of March, followed by frequent travel between Dhaka (the capital of Bangladesh) and the rest of the country, disseminated three dominant viral lineages. Further analysis of an additional 85 genomes (November 2020 to April 2021) found that importation of variant of concern Beta (B.1.351) had occurred and that Beta had become dominant in Dhaka. Our interpretation that population mobility out of Dhaka, and travel from urban hotspots to rural areas, disseminated lineages in Bangladesh in the first wave continues to inform government policies to control national case numbers by limiting within-country travel.

Women's empowerment and elective cesarean section for a single pregnancy: a population-based and multivariate study in Vietnam.

BACKGROUND: Women's empowerment, and maternal and neonatal health are important targets of the Sustainable Development Goals. Our objective is to examine the relationship between women's empowerment and elective cesarean section (ECS), focusing on Vietnam, a country where the use of CS has increased rapidly in recent decades, which raises public health concerns. METHODS: We hypothesized that in the context of the developing biomedicalization of childbirth, women's empowerment increases the use of ECS due to a woman's enhanced ability to decide her mode of delivery. By using microdata from the 2013-2014 Multiple Indicator Clusters Survey, we conducted a multivariate analysis of the correlates of ECS. We studied a representative sample of 1343 institutional single birth deliveries. Due to higher ECS rates among multiparous (18.4%) than primiparous women (10.1%) and the potential interaction between parity and other correlates, we used separate models for primiparous and multiparous women. RESULTS: Among the indicators of women's external resources, which include a higher level of education, having worked during the previous 12 months, and having one's own mobile phone, only education differed between primiparous and multiparous women, with a higher level among primiparous women. Among primiparous women, no resource indicator was significantly linked to ECS. However, considering women's empowerment facilitated the identification of the negative impact of having had fewer than 3 antenatal care visits on the use of ECS. Among multiparous women, disapproval of intimate partner violence (IPV) was associated with a doubled likelihood of undergoing ECS (odds ratio = 2.415), and living in an urban area also doubled the likelihood of ECS. The positive association with living in the richest household quintile was no longer significant when attitude towards IPV was included in the model. In both groups, being aged 35 or older increased the likelihood of undergoing ECS, and this impact was stronger in primiparous women. CONCLUSIONS: These results underline the multidimensionality of empowerment, its links to other correlates and its contribution to clarifying the influence of these correlates, particularly for distinguishing between medical and sociocultural determinants. The results advocate for the integration of women's empowerment into policies aimed at reducing ECS rates.

Mobility network models of COVID-19 explain inequities and inform reopening.

The coronavirus disease 2019 (COVID-19) pandemic markedly changed human mobility patterns, necessitating epidemiological models that can capture the effects of these changes in mobility on the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)1. Here we introduce a metapopulation susceptible-exposed-infectious-removed (SEIR) model that integrates fine-grained, dynamic mobility networks to simulate the spread of SARS-CoV-2 in ten of the largest US metropolitan areas. Our mobility networks are derived from mobile phone data and map the hourly movements of 98 million people from neighbourhoods (or census block groups) to points of interest such as restaurants and religious establishments, connecting 56,945 census block groups to 552,758 points of interest with 5.4 billion hourly edges. We show that by integrating these networks, a relatively simple SEIR model can accurately fit the real case trajectory, despite substantial changes in the behaviour of the population over time. Our model predicts that a small minority of 'superspreader' points of interest account for a large majority of the infections, and that restricting the maximum occupancy at each point of interest is more effective than uniformly reducing mobility. Our model also correctly predicts higher infection rates among disadvantaged racial and socioeconomic groups2-8 solely as the result of differences in mobility: we find that disadvantaged groups have not been able to reduce their mobility as sharply, and that the points of interest that they visit are more crowded and are therefore associated with higher risk. By capturing who is infected at which locations, our model supports detailed analyses that can inform more-effective and equitable policy responses to COVID-19.

Using mobile phone data helps estimate community-level food insecurity: Findings from a multi-year panel study in Nepal.

Household food insecurity remains a major policy challenge in low-income countries. Identifying accurate measures that are relatively easy to collect has long been an important priority for governments seeking to better understand and fund solutions for communities in remote settings. Conventional approaches based on surveys can be time-consuming and costly, while data derived from satellite imagery represent proxies focused on biological processes (such as rainfall and crop growth) lack granularity in terms of human behaviors. As a result, there has recently been interest in tapping into the large digital footprint offered by mobile phone usage. This paper explores empirical relationships between data relating to mobile phones (ownership and spending on service use), and food insecurity in rural Nepal. The work explores models for estimating community-level food insecurity through aggregated mobile phone variables in a proof-of-concept approach. In addition, sensitivity analyses were performed by considering the performance of the models under different settings. The results suggest that mobile phone variables on ownership and expenditure can be used to estimate food insecurity with reasonable accuracy. This suggests that such an approach can be used in and beyond Nepal as an option for collecting timely food insecurity information, either alone or in combination with conventional approaches.

Assessing the use of cell phones to monitor health and nutrition interventions: Evidence from rural Guatemala.

In-person (face-to-face) data collection methods offer many advantages but can also be time-consuming and expensive, particularly in areas of difficult access. We take advantage of the increasing mobile phone penetration rate in rural areas to evaluate the feasibility of using cell phones to monitor the provision of key health and nutrition interventions linked to the first 1,000 days of life, a critical period of growth and development. We examine response rates to calendarized text messages (SMS) and phone calls sent to 1,542 households over a period of four months. These households have children under two years old and pregnant women and are located across randomly selected communities in Quiche, Guatemala. We find that the overall (valid) response rate to phone calls is over 5 times higher than to text messages (75.8% versus 14.4%). We also test whether simple SMS reminders improve the timely reception of health services but do not find any effects in this regard. Language, education, and age appear to be major barriers to respond to text messages as opposed to phone calls, and the rate of response is not correlated with a household's geographic location (accessibility). Moreover, response veracity is high, with an 84-91% match between household responses and administrative records. The costs per monitored intervention are around 1.12 US dollars using text messages and 85 cents making phone calls, with the costs per effective answer showing a starker contrast, at 7.76 and 1.12 US dollars, respectively. Our findings indicate that mobile phone calls can be an effective, low-cost tool to collect reliable information remotely and in real time. In the current context, where in-person contact with households is not possible due to the COVID-19 crisis, phone calls can be a valuable instrument for collecting information, monitoring development interventions, or implementing brief surveys.

Mobile phone ownership and willingness to receive mHealth services among patients with diabetes mellitus in South-West, Nigeria.

INTRODUCTION: mobile phone technology is increasingly used to overcome traditional barriers to limiting access to diabetes care. This study evaluated mobile phone ownership and willingness to receive and pay for mobile phone-based diabetic services among people with diabetes in South-West, Nigeria. METHODS: two hundred and fifty nine patients with diabetes were consecutively recruited from three tertiary health institutions in South-West, Nigeria. Questionnaire was used to evaluate mobile phone ownership, willingness to receive and pay for mobile phone-based diabetic health care services via voice call and text messaging. RESULTS: 97.3% owned a mobile phone, with 38.9% and 61.1% owning smartphone and basic phone respectively. Males were significantly more willing to receive mobile-phone-based health services than females (81.1% vs 68.1%, p=0.025), likewise married compared to unmarried [77.4% vs 57.1%, p=0.036]. Voice calls (41.3%) and text messages (32.4%), were the most preferred modes of receiving diabetes-related health education with social media (3.1%) and email (1.5%) least. Almost three-quarter of participants (72.6%) who owned mobile phone, were willing to receive mobile phone-based diabetes health services. The educational status of patients (adjusted OR [AOR]: 1.7{95% CI: 1.6 to 2.1}), glucometers possession (AOR: 2.0 [95% CI: 1.9 to 2.1) and type of mobile phone owned (AOR: 2.9 [95% CI: 2.8 to 5.0]) were significantly associated with the willingness to receive mobile phone-based diabetic services. CONCLUSION: the majority of study participants owned mobile phones and would be willing to receive and pay for diabetes-related healthcare delivery services provided the cost is minimal and affordable.

Mobile technologies to support healthcare provider to healthcare provider communication and management of care.

BACKGROUND: The widespread use of mobile technologies can potentially expand the use of telemedicine approaches to facilitate communication between healthcare providers, this might increase access to specialist advice and improve patient health outcomes. OBJECTIVES: To assess the effects of mobile technologies versus usual care for supporting communication and consultations between healthcare providers on healthcare providers' performance, acceptability and satisfaction, healthcare use, patient health outcomes, acceptability and satisfaction, costs, and technical difficulties. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase and three other databases from 1 January 2000 to 22 July 2019. We searched clinical trials registries, checked references of relevant systematic reviews and included studies, and contacted topic experts. SELECTION CRITERIA: Randomised trials comparing mobile technologies to support healthcare provider to healthcare provider communication and consultations compared with usual care. DATA COLLECTION AND ANALYSIS: We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. MAIN RESULTS: We included 19 trials (5766 participants when reported), most were conducted in high-income countries. The most frequently used mobile technology was a mobile phone, often accompanied by training if it was used to transfer digital images. Trials recruited participants with different conditions, and interventions varied in delivery, components, and frequency of contact. We judged most trials to have high risk of performance bias, and approximately half had a high risk of detection, attrition, and reporting biases. Two studies reported data on technical problems, reporting few difficulties. Mobile technologies used by primary care providers to consult with hospital specialists We assessed the certainty of evidence for this group of trials as moderate to low. Mobile technologies: - probably make little or no difference to primary care providers following guidelines for people with chronic kidney disease (CKD; 1 trial, 47 general practices, 3004 participants); - probably reduce the time between presentation and management of individuals with skin conditions, people with symptoms requiring an ultrasound, or being referred for an appointment with a specialist after attending primary care (4 trials, 656 participants); - may reduce referrals and clinic visits among people with some skin conditions, and increase the likelihood of receiving retinopathy screening among people with diabetes, or an ultrasound in those referred with symptoms (9 trials, 4810 participants when reported); - probably make little or no difference to patient-reported quality of life and health-related quality of life (2 trials, 622 participants) or to clinician-assessed clinical recovery (2 trials, 769 participants) among individuals with skin conditions; - may make little or no difference to healthcare provider (2 trials, 378 participants) or participant acceptability and satisfaction (4 trials, 972 participants) when primary care providers consult with dermatologists; - may make little or no difference for total or expected costs per participant for adults with some skin conditions or CKD (6 trials, 5423 participants). Mobile technologies used by emergency physicians to consult with hospital specialists about people attending the emergency department We assessed the certainty of evidence for this group of trials as moderate. Mobile technologies: - probably slightly reduce the consultation time between emergency physicians and hospital specialists (median difference -12 minutes, 95% CI -19 to -7; 1 trial, 345 participants); - probably reduce participants' length of stay in the emergency department by a few minutes (median difference -30 minutes, 95% CI -37 to -25; 1 trial, 345 participants). We did not identify trials that reported on providers' adherence, participants' health status and well-being, healthcare provider and participant acceptability and satisfaction, or costs. Mobile technologies used by community health workers or home-care workers to consult with clinic staff We assessed the certainty of evidence for this group of trials as moderate to low. Mobile technologies: - probably make little or no difference in the number of outpatient clinic and community nurse consultations for participants with diabetes or older individuals treated with home enteral nutrition (2 trials, 370 participants) or hospitalisation of older individuals treated with home enteral nutrition (1 trial, 188 participants); - may lead to little or no difference in mortality among people living with HIV (RR 0.82, 95% CI 0.55 to 1.22) or diabetes (RR 0.94, 95% CI 0.28 to 3.12) (2 trials, 1152 participants); - may make little or no difference to participants' disease activity or health-related quality of life in participants with rheumatoid arthritis (1 trial, 85 participants); - probably make little or no difference for participant acceptability and satisfaction for participants with diabetes and participants with rheumatoid arthritis (2 trials, 178 participants). We did not identify any trials that reported on providers' adherence, time between presentation and management, healthcare provider acceptability and satisfaction, or costs. AUTHORS' CONCLUSIONS: Our confidence in the effect estimates is limited. Interventions including a mobile technology component to support healthcare provider to healthcare provider communication and management of care may reduce the time between presentation and management of the health condition when primary care providers or emergency physicians use them to consult with specialists, and may increase the likelihood of receiving a clinical examination among participants with diabetes and those who required an ultrasound. They may decrease the number of people attending primary care who are referred to secondary or tertiary care in some conditions, such as some skin conditions and CKD. There was little evidence of effects on participants' health status and well-being, satisfaction, or costs.

Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey.

BACKGROUND: The disruptive potential of mobile phones in catalyzing development is increasingly being recognized. However, numerous gaps remain in access to phones and their influence on health care utilization. In this cross-sectional study from India, we assess the gaps in women's access to phones, their influencing factors, and their influence on health care utilization. METHODS: Data drawn from the 2015 National Family Health Survey (NFHS) in India included a national sample of 45,231 women with data on phone access. Survey design weighted estimates of household phone ownership and women's access among different population sub-groups are presented. Multilevel logistic models explored the association of phone access with a wide range of maternal and child health indicators. Blinder-Oaxaca (BO) decomposition is used to decompose the gaps between women with and without phone access in health care utilization into components explained by background characteristics influencing phone access (endowments) and unexplained components (coefficients), potentially attributable to phone access itself. FINDINGS: Phone ownership at the household level was 92·8% (95% CI: 92·6-93·0%), with rural ownership at 91·1% (90·8-91·4%) and urban at 97.1% (96·7-97·3%). Women's access to phones was 47·8% (46·7-48·8%); 41·6% in rural areas (40·5-42·6%) and 62·7% (60·4-64·8%) in urban. Phone access in urban areas was positively associated with skilled birth attendance, postnatal care and use of modern contraceptives and negatively associated with early antenatal care. Phone access was not associated with improvements in utilization indicators in rural settings. Phone access (coefficient components) explained large gaps in the use of modern contraceptives, moderate gaps in postnatal care and early antenatal care, and smaller differences in the use of skilled birth attendance and immunization. For full antenatal car, phone access was associated with reducing gaps in utilization. INTERPRETATION: Women of reproductive age have significantly lower phone access use than the households they belong to and marginalized women have the least phone access. Existing phone access for rural women did not improve their health care utilization but was associated with greater utilization for urban women. Without addressing these biases, digital health programs may be at risk of worsening existing health inequities.

Digital Health and Inequalities in Access to Health Services in Bangladesh: Mixed Methods Study.

BACKGROUND: Globally, the rapid growth of technology and its use as a development solution has generated much interest in digital health. In line with global trends, Bangladesh is also integrating technology into its health system to address disparities. Strong political endorsement and uptake of digital platforms by the government has influenced the rapid proliferation of such initiatives in the country. This paper aims to examine the implications of digital health on access to health care in Bangladesh, considering who uses electronic devices to access health information and services and why. OBJECTIVE: This study aims to understand how access to health care and related information through electronic means (digital health) is affected by sociodemographic determinants (ie, age, gender, education, socioeconomic status, and personal and household ownership of mobile phones) in a semiurban community in Bangladesh. METHODS: A cross-sectional survey of 854 households (between October 2013 and February 2014) and 20 focus group discussions (between February 2017 and March 2017) were conducted to understand (1) who owns electronic devices; (2) who, among the owners, uses these to access health information and services and why; (3) the awareness of electronic sources of health information; and (4) the role of intermediaries (family members or peers who helped to look for health information using electronic devices). RESULTS: A total of 90.3% (771/854) of households (471/854, 55.2% of respondents) owned electronic devices, mostly mobile phones. Among these, 7.2% (34/471) used them to access health information or services. Middle-aged (35-54 years), female, less (or not) educated, and poorer people used these devices the least (α=.05, α is the level of significance). The lack of awareness, discomfort, differences with regular care-seeking habits, lack of understanding and skills, and proximity to a health facility were the main reasons for not using devices to access digital health. CONCLUSIONS: Although influenced by sociodemographic traits, access to digital health is not merely related to device ownership and technical skill. Rather, it is a combination of general health literacy, phone ownership, material resources, and technical skill as well as social recognition of health needs and inequity. This study's findings should serve as a basis for better integrating technology within the health system and ensuring equitable access to health care.

Factors associated with mobile phone ownership and potential use for rabies vaccination campaigns in southern Malawi.

BACKGROUND: Rabies is a fatal but preventable viral disease, which causes an estimated 59 000 human deaths globally every year. The vast majority of human rabies cases are attributable to bites from infected domestic dogs and consequently control of rabies in the dog population through mass vaccination campaigns is considered the most effective method of eliminating the disease. Achieving the WHO target of 70% vaccination coverage has proven challenging in low-resource settings such as Sub Saharan Africa, and lack of public awareness about rabies vaccination campaigns is a major barrier to their success. In this study we surveyed communities in three districts in Southern Malawi to assess the extent of and socio-economic factors associated with mobile phone ownership and explore the attitudes of communities towards the use of short message service (SMS) to inform them of upcoming rabies vaccination clinics. METHODS: This study was carried out between 1 October-3 December 2018 during the post-vaccination assessment of the annual dog rabies campaign in Blantyre, Zomba and Chiradzulu districts, Malawi. 1882 questionnaires were administered to households in 90 vaccination zones. The surveys gathered data on mobile phone ownership and use, and barriers to mobile phone access. A multivariable regression model was used to understand factors related to mobile phone ownership. RESULTS: Most survey respondents owned or had use of a mobile phone, however there was evidence of an inequality of access, with higher education level, living in Blantyre district and being male positively associated with mobile phone ownership. The principal barrier to mobile phone ownership was the cost of the phone itself. Basic feature phones were most common and few owned smartphones. SMS was commonly used and the main reason for not using SMS was illiteracy. Attitudes to receiving SMS reminders about future rabies vaccination campaigns were positive. CONCLUSIONS: The study showed a majority of those surveyed have the use of a mobile phone and most mobile phone owners indicated they would like to receive SMS messages about future rabies vaccination campaigns. This study provides insight into the feasibility of distributing information about rabies vaccination campaigns using mobile phones in Malawi.

Cell phone and technology use by octogenarians.

INTRODUCTION Many countries, including New Zealand, have an aging population and new technologies such as cell phones may be useful for older people. AIM To examine cell phone and technology use by octogenarians. METHODS Te Puawaitanga O Nga Tapuwae Kia Ora Tonu- Life and Living in Advanced Age: A Cohort Study In New Zealand (LILACs NZ) cohort study data of Maori (aged 80-90 years, 11-year age band) and non-Maori (aged 85 years, 1-year age band) followed for 3 years was used to describe the prevalence among study participants of the use of the internet, cell phones and watching pay-per-view television. Association of these activities with living arrangement, congestive heart failure, chronic obstructive respiratory disease and participants' cognition were examined. RESULTS Technology use was relatively low among study octogenarians. Fewer Maori used cell phones and the internet (16% and 6%) than non-Maori (30% and 19%). Maori participants supported only by a pension were less likely to use cell phones than Maori with more income. More men watched pay-per-view television (e.g. SKY) than women. Living alone and having chronic lung disease were associated with not watching pay-per-view television. Participants who used the internet had higher cognition scores than others. Non-Maori women were less likely to watch pay-per-view television and non-Maori on a pension only were less likely to watch pay-per-view television than people on a higher income. Participants who lived alone were less likely to watch pay-per-view. CONCLUSION Relatively low use of technology may limit potential for health technology innovation for people of advanced age. Socioeconomic and ethnic disparities will amplify this.

Regulating hearing aid compatibility of cell phones: results from a national survey.

Accessibility of telecommunication technologies by people who are deaf or hard of hearing has been a critical issue since the invention of the telephone. As both telephone and hearing-aid technologies have evolved, finding compatible solutions has been an ongoing challenge. This paper uses the findings of a longitudinal study to examine the impact of Federal hearing-aid compatibility (HAC) regulations in resolving this problem. The study ran concurrently with the phase-in of Federal Communications Commission regulations requiring that mobile handset manufacturers and wireless service providers make available minimum numbers of cell phones with shielding to reduce electromagnetic interference when cell phones are positioned close to a hearing aid user's ear. These regulations also require package labeling and printed information to assist buyers in selecting a hearing-aid compatible phone. The survey presented here focused on changes in satisfaction with sound quality and ease of finding a hearing-aid compatible mobile handset. Data analysis suggests that the regulations have had limited success, and problems persist for consumers in locating a hearing aid compatible phone. The FCC has requested input on more stringent hearing-aid compatibility requirements; study findings suggest that these changes are not likely to remedy the problem.

Applying M-Health to Palliative Care: A Systematic Review on the Use of M-Health in Monitoring Patients With Chronic Diseases and its Transposition in Palliative Care.

BACKGROUND: The major growth of mobile technologies in the recent years has led to the development of medical-monitoring applications, particularly on smartphones. AIM: The aim of this study was to review the use of m-health in the monitoring of patients with chronic pathologies in order to consider what could be adapted for palliative care patients at home. DESIGN: A systematic review of the English and French literature was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria. DATE SOURCES: The review screened the following databases: PUBMED, SCOPUS, COCHRANE, SCIENCE DIRECT, SUDOC, and EM-Premium, screening studies published between 2008 and 2018. The selection of articles was done by the main investigator. All studies concerning the use of m-Health apps for patients with chronic diseases were included. RESULTS: From the 337 selected publications, 8 systematic reviews and 14 original studies were included. The main uses of m-Health apps were biological and clinical monitoring (particularly concerning the symptoms) in 75% of the applications, disease self-management in 64% of the applications, and therapeutic patient education in 50% of the applications, with remote monitoring. CONCLUSIONS: The development of an m-Health application could become a complementary monitoring tool during palliative care. However, it seems important to question the impact of technique in the professional-patient relationship and avoid the pitfalls of standardizing palliative care and reducing the patient to a "sick" health technician. A future step would then be to define which health-care professional would be in charge of this "m-monitoring."

Mobile phone ownership, text messages, and contraceptive use: Is there a digital revolution in family planning?

OBJECTIVES: This study aims to clarify the associations between mobile phone ownership use on family planning outcomes. Secondary analysis of DHS data finds that in certain contexts, mobile phone ownership may be related to increased FP uptake. STUDY DESIGN: Using recent data for women 15-49 from the Demographic and Health Surveys for six countries - Ethiopia (2016), Uganda (2016), Tanzania (2015-16), Nepal (2016), Philippines (2017), and Haiti (2016-17) - we conduct multivariate logistic regression analysis to assess FP outcomes (contraceptive prevalence (CPR), modern contraceptive prevalence (mCPR), and unmet need for family planning) for mobile phone ownership and source of exposure to FP messaging. We use STATA14 for our analyses, and all results presented are weighted. RESULTS: We find that in Uganda, Tanzania, and Haiti, owning a mobile phone is significantly associated with overall contraceptive use (OR = 1.38, 1.38, 1.23 respectively), modern contraceptive use (OR = 1.34, 1.30, 1.24 respectively) net of socioeconomic factors. Further, our analysis demonstrated that receiving FP information via text message was significantly associated with contraceptive uptake only in Haiti (OR = 1.62 for overall contraceptive use and OR = 1.53 for modern contraceptive use), where SMS systems have more robust connections to clinic services. CONCLUSIONS: Our results indicate that in certain contexts, mobile phone ownership may be related to increased FP uptake. IMPLICATIONS: These findings help inform investments in mHealth programming for family planning and reproductive health. They help clarify the potential significance of demographic patterns of mobile ownership and health outcomes, and also demonstrate the limitations of SMS services in relationship to contraceptive behaviors, reinforcing the need to connect mHealth to clinic services.

The addition of mobile SMS effectively improves dengue prevention practices in community: an implementation study in Nepal.

BACKGROUND: Dengue is an emerging vector disease with frequent outbreaks in Nepal that pose a major threat to public health. Dengue control activities are mostly outbreak driven, and still lack systematic interventions while most people have poor health-related knowledge and practices. Mobile Short Message Service (SMS) represents a low-cost health promotion intervention that can enhance the dengue prevention knowledge and practices of the affected communities. This study aimed to explore the acceptability, appropriateness, and effectiveness of mobile SMS intervention in improving dengue control practices. METHODS: This study was an implementation research that used mixed-methods design with intervention. A total of 300 households were divided into three groups, i.e. one control group, one dengue prevention leaflet (DPL) only intervention group and one DPL with mobile SMS intervention group (DPL + SMS). We used a structured questionnaire to collect information regarding participants' knowledge and practice of dengue prevention. We conducted in-depth interviews with key informants to measure acceptability and appropriateness of intervention. Mean difference with standard deviation (SD), one-way ANOVA, paired t-test and regression analyses were used to assess the effectiveness of the interventions. Thematic analysis was used to assess the acceptability, and appropriateness as well as barriers and enablers of the intervention. RESULTS: The DPL + SMS intervention produced significantly higher mean knowledge difference (32.7 ± 13.7 SD vs. 13.3 ± 8.8 SD) and mean practice difference (27.9 ± 11.4 SD vs 4.9 ± 5.4 SD) compared to the DPL only group (p = 0.000). Multivariate analysis showed that the DPL + SMS intervention was effective to increase knowledge by 28.6 points and practice by 28.1 points compared to the control group. The intervention was perceived as acceptable and appropriate by the study participants and key stakeholders. Perceived barriers included reaching private network users and poor network in geographically remote areas, while enabling factors included mobile phone penetration, low cost, and shared responsibility. CONCLUSIONS: Mobile SMS is an effective, acceptable and appropriate health intervention to improve dengue prevention practices in communities. This intervention can be adopted as a promising tool for health education against dengue and other diseases.

Getting Ready for Adult Healthcare: Designing a Chatbot to Coach Adolescents with Special Health Needs Through the Transitions of Care.

OBJECTIVE: The AAP, AFP, and ACP have authored statements and recommendations to clinicians about the importance of the transition from pediatric to adult care. The Got Transition program provides a framework and resources based on AAP, AFP and ACP recommendations to promote skill attainment in self-care. Engaging adolescents along the transition journey has proven challenging. Use of smartphones, text messaging, and social media are prevalent among teenagers, offering a unique opportunity to engage teenagers in their preferred channel to provide tools and resources to help them successfully transition to adult focused care. METHODS: A multidisciplinary team of clinicians, quality improvement facilitators, and human-centered designers at the University of Vermont (UVM) Children's Hospital designed tools for teens with chronic conditions that support the Got Transition recommendations. Using a co-creative design process, we created a novel tool to increase engagement among teenagers. We conducted a pilot study of 13 teenagers with a chronic medical condition using a text messaging platform (chatbot) with scripted interactions to increase engagement and deliver educational content according to Got Transition. RESULTS: Mean engagement was 97% during the study period. Qualitative feedback from study participants suggests our chatbot should be extended and shows promise to help teenagers attain self-care skills on the transition journey. CONCLUSIONS: A scripted text messaging platform is feasible and appears to be well-received by patients and caregivers. Furthermore, our approach emphasizes the need to engage teenagers through multiple platforms to effectively serve as "coaches" during the transition to adult care.

Why Digital Tools Have Not Yet Revolutionized Adolescent Health Research and What We Can Do.

The promise of digital tools and devices for spurring new discoveries in adolescence research is enticing. Notably, this special section draws attention to many of the advantages that mobile and wearable devices offer for ambulatory assessment research, which have now been realized. Despite such progress, digital tools have not yet delivered on their predicted revolution of adolescent health research. I offer four reasons for why digital devices have fallen short of this predicted promise. For each barrier, I suggest parallel strategies for ensuring adolescent research benefits from Ambulatory Assessment advances. To avoid being left behind, adolescence scholarship must develop in time with innovations in digital devices and platforms, which are moving forward to support basic science and interventions in mental health.

Detection of potentially pathogenic bacteria on cell phones of hospital and university-based populations in Curitiba, southern Brazil. A cross-sectional study.

BACKGROUND: Cell phones have become indispensable for professional activities, including healthcare. Thus, they are possible sources of bacterial contamination. There is a scarcity of data in the literature regarding identification of risk factors for contamination of cell phones with pathogenic bacteria. OBJECTIVE: To compare the prevalence rates of Staphylococcus aureus (S. aureus), methicillin-resistant S. aureus (MRSA) and/or Enterobacteriaceae on cell phones belonging to hospital healthcare staff and university students in Curitiba, Paraná, Brazil, and to identify variables associated with such contamination. DESIGN AND SETTING: Cross-sectional study conducted in a public university's referral hospital and lecture buildings in 2017. METHODS: We sampled the surface of cell phones using the dipslide method, with Baird-Parker agar and Escherichia coli-coliform chromogenic (ECC) agar. We assessed the population's sociodemographic, behavioral and hygiene characteristics through interviews. Possible presence of S. aureus colonies was confirmed using agglutination tests, with evaluation of methicillin sensitivity. Colonies in ECC medium were counted. Stepwise logistic regression (forward P < 0.15) was performed to identify characteristics associated with bacterial contamination. RESULTS: The prevalence rates of S. aureus, MRSA and Enterobacteriaceae were, respectively, 32%, 4% and 3%. No difference was found between the hospital and university-based populations (P > 0.05). The only variable associated with bacterial contamination was the use of cloth/velvet/leather phone cases (odds ratio: 2.92; 95% confidence interval: 1.08-7.91). CONCLUSIONS: Potentially pathogenic bacteria were prevalent on the cell phones of this hospital and university population. Use of phone cases made of cloth-like material should be discouraged, especially in hospital settings.