Amplification-free detection of SARS-CoV-2 with CRISPR-Cas13a and mobile phone microscopy.

The December 2019 outbreak of a novel respiratory virus, SARS-CoV-2, has become an ongoing global pandemic due in part to the challenge of identifying symptomatic, asymptomatic, and pre-symptomatic carriers of the virus. CRISPR diagnostics can augment gold-standard PCR-based testing if they can be made rapid, portable, and accurate. Here, we report the development of an amplification-free CRISPR-Cas13a assay for direct detection of SARS-CoV-2 from nasal swab RNA that can be read with a mobile phone microscope. The assay achieved ∼100 copies/µL sensitivity in under 30 min of measurement time and accurately detected pre-extracted RNA from a set of positive clinical samples in under 5 min. We combined crRNAs targeting SARS-CoV-2 RNA to improve sensitivity and specificity and directly quantified viral load using enzyme kinetics. Integrated with a reader device based on a mobile phone, this assay has the potential to enable rapid, low-cost, point-of-care screening for SARS-CoV-2.

Human mobility networks reveal increased segregation in large cities.

A long-standing expectation is that large, dense and cosmopolitan areas support socioeconomic mixing and exposure among diverse individuals1-6. Assessing this hypothesis has been difficult because previous measures of socioeconomic mixing have relied on static residential housing data rather than real-life exposures among people at work, in places of leisure and in home neighbourhoods7,8. Here we develop a measure of exposure segregation that captures the socioeconomic diversity of these everyday encounters. Using mobile phone mobility data to represent 1.6 billion real-world exposures among 9.6 million people in the United States, we measure exposure segregation across 382 metropolitan statistical areas (MSAs) and 2,829 counties. We find that exposure segregation is 67% higher in the ten largest MSAs than in small MSAs with fewer than 100,000 residents. This means that, contrary to expectations, residents of large cosmopolitan areas have less exposure to a socioeconomically diverse range of individuals. Second, we find that the increased socioeconomic segregation in large cities arises because they offer a greater choice of differentiated spaces targeted to specific socioeconomic groups. Third, we find that this segregation-increasing effect is countered when a city's hubs (such as shopping centres) are positioned to bridge diverse neighbourhoods and therefore attract people of all socioeconomic statuses. Our findings challenge a long-standing conjecture in human geography and highlight how urban design can both prevent and facilitate encounters among diverse individuals.

Machine learning and phone data can improve targeting of humanitarian aid.

The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food insecurity and a sharp decline in living standards1. In response to this crisis, governments and humanitarian organizations worldwide have distributed social assistance to more than 1.5 billion people2. Targeting is a central challenge in administering these programmes: it remains a difficult task to rapidly identify those with the greatest need given available data3,4. Here we show that data from mobile phone networks can improve the targeting of humanitarian assistance. Our approach uses traditional survey data to train machine-learning algorithms to recognize patterns of poverty in mobile phone data; the trained algorithms can then prioritize aid to the poorest mobile subscribers. We evaluate this approach by studying a flagship emergency cash transfer program in Togo, which used these algorithms to disburse millions of US dollars worth of COVID-19 relief aid. Our analysis compares outcomes-including exclusion errors, total social welfare and measures of fairness-under different targeting regimes. Relative to the geographic targeting options considered by the Government of Togo, the machine-learning approach reduces errors of exclusion by 4-21%. Relative to methods requiring a comprehensive social registry (a hypothetical exercise; no such registry exists in Togo), the machine-learning approach increases exclusion errors by 9-35%. These results highlight the potential for new data sources to complement traditional methods for targeting humanitarian assistance, particularly in crisis settings in which traditional data are missing or out of date.

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.

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.

Implementation of free-draft text messaging to enhance care retention and satisfaction for persons living with HIV infection.

Eligible persons with HIV infection can receive client-centered case management to coordinate medical and social services. Novel mobile health interventions could improve effective case management and retention in care, an important goal to help end the HIV epidemic. Using a hybrid type I effectiveness-implementation design, we assessed whether access to bidirectional, free-draft secure text messaging with a case manager and clinic pharmacist could improve client satisfaction and care retention in a Southern academic HIV clinic. Sixty-four clients enrolled between November 2019 and March 2020, had a median age of 39 years, and were mostly male, single, and African-American. Heavy app users texted over 100 times (n = 6) over the course of the 12-month intervention while others never texted (n = 12). App usage peaked during months of clinic closure due to COVID-19. Most participants reported high satisfaction with the app and planned continued usage after study completion. Changes in clinic retention and virologic suppression rates were not observed, a result confounded by practice changes due to COVID-19. High usage and satisfaction of free-draft text messaging in case-managed HIV clients supports inclusion of this communication option in routine HIV clinical care.

Acceptability, feasibility and preliminary effectiveness of the mHealth intervention, InTSHA, on retention in care and viral suppression among adolescents with HIV in South Africa: a pilot randomized clinical trial.

We describe the results of a pilot randomized clinical trial of a mobile phone-based intervention, InTSHA: Interactive Transition Support for Adolescents with HIV, compared to standard care. Encrypted, closed group chats delivered via WhatsApp provided peer support and improved communication between adolescents with HIV, their caregivers, and healthcare providers. We randomized 80 South African adolescents ages 15 to 19 years with perinatally-acquired HIV to receive either the intervention (n=40) or standard of care (n=40). We measured acceptability (Acceptability of Intervention Measure [AIM]) and feasibility (Feasibility of Intervention Measure [FIM]) as primary outcomes. We evaluated impact on retention in care and viral suppression six months after randomization as secondary endpoints. We performed bivariable and multivariable analyses using logistic regression models to assess the effect of the InTSHA intervention compared to standard of care. Among the adolescents randomized to the InTSHA intervention, the median AIM was 4.1/5.0 (82%) and median FIM was 3.9/5.0 (78%). We found no difference in retention in care or in viral suppression comparing intervention and control groups. Among adolescents who attended three or more sessions, retention in care was 100% at 6 months. InTSHA is an acceptable and feasible mHealth intervention warranting further study in a larger population.

The impact of spatial connectivity on NPIs effectiveness.

BACKGROUND: France implemented a combination of non-pharmaceutical interventions (NPIs) to manage the COVID-19 pandemic between September 2020 and June 2021. These included a lockdown in the fall 2020 - the second since the start of the pandemic - to counteract the second wave, followed by a long period of nighttime curfew, and by a third lockdown in the spring 2021 against the Alpha wave. Interventions have so far been evaluated in isolation, neglecting the spatial connectivity between regions through mobility that may impact NPI effectiveness. METHODS: Focusing on September 2020-June 2021, we developed a regionally-based epidemic metapopulation model informed by observed mobility fluxes from daily mobile phone data and fitted the model to regional hospital admissions. The model integrated data on vaccination and variants spread. Scenarios were designed to assess the impact of the Alpha variant, characterized by increased transmissibility and risk of hospitalization, of the vaccination campaign and alternative policy decisions. RESULTS: The spatial model better captured the heterogeneity observed in the regional dynamics, compared to models neglecting inter-regional mobility. The third lockdown was similarly effective to the second lockdown after discounting for immunity, Alpha, and seasonality (51% vs 52% median regional reduction in the reproductive number R0, respectively). The 6pm nighttime curfew with bars and restaurants closed, implemented in January 2021, substantially reduced COVID-19 transmission. It initially led to 49% median regional reduction of R0, decreasing to 43% reduction by March 2021. In absence of vaccination, implemented interventions would have been insufficient against the Alpha wave. Counterfactual scenarios proposing a sequence of lockdowns in a stop-and-go fashion would have reduced hospitalizations and restriction days for low enough thresholds triggering and lifting restrictions. CONCLUSIONS: Spatial connectivity induced by mobility impacted the effectiveness of interventions especially in regions with higher mobility rates. Early evening curfew with gastronomy sector closed allowed authorities to delay the third wave. Stop-and-go lockdowns could have substantially lowered both healthcare and societal burdens if implemented early enough, compared to the observed application of lockdown-curfew-lockdown, but likely at the expense of several labor sectors. These findings contribute to characterize the effectiveness of implemented strategies and improve pandemic preparedness.

Feasibility of mobile phone application "Epilepsy care" for self-management of children and adolescents with epilepsy in Phramongkutklao hospital: A randomized controlled trial.

Epilepsy is a common neurological disorder in children. Mobile applications have shown potential in improving self-management for patients with chronic illnesses. To address language barriers, we developed the first Thai version of the "Epilepsy care" mobile application for children and adolescents with epilepsy in Thailand. A prospective, randomized controlled trial with 220 children and adolescents living with epilepsy who had a smartphone and were treated at the pediatric neurology clinic was conducted, with one group using the mobile application and the other receiving standard epilepsy guidance. The primary outcome assessed epilepsy self-management using the Pediatric Epilepsy Self-Management Questionnaire (PEMSQ) in the Thai version, which comprised 27 questions. These questions aimed to determine knowledge, adherence to medications, beliefs about medication efficacy, and barriers to medication adherence. The secondary outcome evaluated seizure frequency at baseline, 3, and 6 months after initiation of an application. Eighty-five participants who were randomized to a mobile application achieved significantly higher PEMSQ scores in the domain of barriers to medication adherence (p < 0.05) at 6 months follow-up. Other domains of PEMSQ showed no statistically significant difference. Baseline median seizure frequencies per month were 7 in the control group and 5.5 in the intervention group. At 3 and 6 months, these decreased significantly to 1.5 and 1 for the control group and 2.5 and 1 for the intervention group (p < 0.001). In addition, the study revealed that 94.9 % of the participants in a mobile application group were highly satisfied with using application. These findings suggest that the mobile application "Epilepsy care" may serve as an effective adjunctive therapy to enhance self-management and seizure control in children and adolescents with epilepsy.

Headache in the international cohort study of mobile phone use and health (COSMOS) in the Netherlands and the United Kingdom.

Headache is a common condition with a substantial burden of disease worldwide. Concerns have been raised over the potential impact of long-term mobile phone use on headache due to radiofrequency electromagnetic fields (RF-EMFs). We explored prospectively the association between mobile phone use at baseline (2009-2012) and headache at follow-up (2015-2018) by analysing pooled data consisting of the Dutch and UK cohorts of the Cohort Study of Mobile Phone Use and Health (COSMOS) (N = 78,437). Frequency of headache, migraine, and information on mobile phone use, including use of hands-free devices and frequency of texting, were self-reported. We collected objective operator data to obtain regression calibrated estimates of voice call duration. In the model mutually adjusted for call-time and text messaging, participants in the high category of call-time showed an adjusted odds ratio (OR) of 1.04 (95 % CI: 0.94-1.15), with no clear trend of reporting headache with increasing call-time. However, we found an increased risk of weekly headache (OR = 1.40, 95 % CI: 1.25-1.56) in the high category of text messaging, with a clear increase in reporting headache with increasing texting. Due to the negligible exposure to RF-EMFs from texting, our results suggest that mechanisms other than RF-EMFs are responsible for the increased risk of headache that we found among mobile phone users.

Mobile phone specific radiation disturbs cytokinesis and causes cell death but not acute chromosomal damage in buccal cells: Results of a controlled human intervention study.

Several human studies indicate that mobile phone specific electromagnetic fields may cause cancer in humans but the underlying molecular mechanisms are currently not known. Studies concerning chromosomal damage (which is causally related to cancer induction) are controversial and those addressing this issue in mobile phone users are based on the use of questionnaires to assess the exposure. We realized the first human intervention trial in which chromosomal damage and acute toxic effects were studied under controlled conditions. The participants were exposed via headsets at one randomly assigned side of the head to low and high doses of a UMTS signal (n = 20, to 0.1 W/kg and n = 21 to 1.6 W/kg Specific Absorption Rate) for 2 h on 5 consecutive days. Before and three weeks after the exposure, buccal cells were collected from both cheeks and micronuclei (MN, which are formed as a consequence of structural and numerical chromosomal aberrations) and other nuclear anomalies reflecting mitotic disturbance and acute cytotoxic effects were scored. We found no evidence for induction of MN and of nuclear buds which are caused by gene amplifications, but a significant increase of binucleated cells which are formed as a consequence of disturbed cell divisions, and of karyolitic cells, which are indicative for cell death. No such effects were seen in cells from the less exposed side. Our findings indicate that mobile phone specific high frequency electromagnetic fields do not cause acute chromosomal damage in oral mucosa cells under the present experimental conditions. However, we found clear evidence for disturbance of the cell cycle and cytotoxicity. These effects may play a causal role in the induction of adverse long term health effects in humans.

Impact of Radiofrequency Exposure From Mobile Phones on the Risk of Developing Brain Tumors in Korean and Japanese Adolescents: A MOBI-Kids Case-control Study.

BACKGROUND: This study aimed to examine the association between risk of brain tumors and radiofrequency (RF) exposure from mobile phones among young people in Korea and Japan. METHODS: This case-control study of brain tumors in young people was conducted in Korea and Japan under the framework of the international MOBI-Kids study. We included 118 patients diagnosed with brain tumors between 2011 and 2015 and 236 matched appendicitis controls aged 10-24 years. Information on mobile phone use was collected through face-to-face interviews. A detailed RF exposure algorithm, based on the MOBI-Kids algorithm and modified to account for the specificities of Japanese and Korean phones and networks, was used to calculate the odds ratios (ORs) for total cumulative specific energy using conditional logistic regression. RESULTS: The adjusted ORs in the highest tertile of cumulative call time at 1 year before the reference date were 1.61 (95% confidence interval [CI], 0.72-3.60) for all brain tumors and 0.70 (95% CI, 0.16-3.03) for gliomas, with no indication of a trend with exposure. The ORs for glioma specifically, were below 1 in the lowest exposure category. CONCLUSION: This study provided no evidence of a causal association between mobile phone use and risk of brain tumors as a whole or of glioma specifically. Further research will be required to evaluate the impact of newer technologies of communication in the future.

Mobile phone problem use and depressive symptoms: the mediating role of social support and attitude to aging among Chinese older adults.

BACKGROUND: Little is known about mobile phone problem use (MPPU) among older adults. This study investigated critical factors affecting MPPU and filled the gap between MPPU and depressive symptoms in older people. METHODS: A cross-sectional study was conducted in community (n = 376) with questionnaires of Multidimensional Scale of Perceived Social Support (MSPSS), Geriatric Depression Scale (GDS-15), Attitudes to Aging Questionnaire (AAQ) and Mobile Phone Problem Use Scale (MPPUS). RESULTS: 80.9% of older people used smartphones and spend less than three hours on mobile phone per day. The average MPPU score of Chinese elderly is greater than the cut off to 41. Female (ß = -0.11, P = 0.037), living with spouse (ß = -0.17, P = 0.03), and late marriage age (ß = -0.16, P = 0.007) are less likely to develop MPPU. The relationship between MPPU and depressive symptoms was partially mediated by social support and attitude to aging. CONCLUSION: Elderly people generally have higher MPPU scores. MPPU was associated with depressive symptoms, through social support and attitude to aging.

Prevalence of mobile phone addiction and poor mental health, and factors associated with mental health among medical students in Southeast Iran.

BACKGROUND: Mobile phone addiction is on the rise among various populations, particularly among the younger generations. This phenomenon can significantly impact various aspects of life, particularly mental health. This study aimed to examine the prevalence of mobile phone addiction and mental health, as well as the associated factors of mental health among medical students in southeast Iran in 2023. METHODS: Using stratified sampling, 365 students from the Kerman University of Medical Sciences were included from May to June 2023. The data collection tool comprised a questionnaire assessing general health (GHQ-28), mobile phone addiction, and social support. Logistic regression was used to examine the associated factors of mental health. RESULTS: The prevalence of mobile phone addiction and poor mental health among students was 46.6% (95% Confidence Intervals [CI]: 41.4; 51.7) and 52.9% (95% CI: 47.7; 57.9), respectively. The results of the multivariable logistic regression analysis indicated that individuals with mobile phone addiction had higher odds of experiencing a poor mental health situation (Adjusted Odds Ratio [aOR] = 2.01; 95% CI: 1.30, 3.09). Conversely, participants with higher social support scores were less likely to have poor health (aOR = 0.95; 95% CI: 0.94, 0.97). CONCLUSION: We found a high prevalence of mobile phone addiction. Considering the association between mobile phone addiction and mental health, it is necessary to prevent the complications and risks caused by mobile phone addiction; it requires educational planning, counseling, and behavior among vulnerable students.

Mobile phone text messaging for medication adherence in secondary prevention of cardiovascular disease.

BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of death globally, accounting for almost 18 million deaths annually. People with CVDs have a five times greater chance of suffering a recurrent cardiovascular event than people without known CVDs. Although drug interventions have been shown to be cost-effective in reducing the risk of recurrent cardiovascular events, adherence to medication remains suboptimal. As a scalable and cost-effective approach, mobile phone text messaging presents an opportunity to convey health information, deliver electronic reminders, and encourage behaviour change. However, it is uncertain whether text messaging can improve medication adherence and clinical outcomes. This is an update of a Cochrane review published in 2017. OBJECTIVES: To evaluate the benefits and harms of mobile phone text messaging for improving medication adherence in people with CVDs compared to usual care. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, four other databases, and two trial registers. We also checked the reference lists of all primary included studies and relevant systematic reviews and meta-analyses. The date of the latest search was 30 August 2023. SELECTION CRITERIA: We included randomised controlled trials (RCTs) with participants with established arterial occlusive events. We included trials investigating interventions using short message service (SMS) or multimedia messaging service (MMS) with the aim of improving adherence to medication for the secondary prevention of cardiovascular events. The comparator was usual care. We excluded cluster-RCTs and quasi-RCTs. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were medication adherence, fatal cardiovascular events, non-fatal cardiovascular events, and combined CVD event. Secondary outcomes were low-density lipoprotein cholesterol for the effect of statins, blood pressure for antihypertensive drugs, heart rate for the effect of beta-blockers, urinary 11-dehydrothromboxane B2 for the antiplatelet effects of aspirin, adverse effects, and patient-reported experience. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS: We included 18 RCTs involving a total of 8136 participants with CVDs. We identified 11 new studies in the review update and seven studies in the previous version of the review. Participants had various CVDs including acute coronary syndrome, coronary heart disease, stroke, myocardial infarction, and angina. All studies were conducted in middle- and high-income countries, with no studies conducted in low-income countries. The mean age of participants was 53 to 64 years. Participants were recruited from hospitals or cardiac rehabilitation facilities. Follow-up ranged from one to 12 months. There was variation in the characteristics of text messages amongst studies (e.g. delivery method, frequency, theoretical grounding, content used, personalisation, and directionality). The content of text messages varied across studies, but generally included medication reminders and healthy lifestyle information such as diet, physical activity, and weight loss. Text messages offered advice, motivation, social support, and health education to promote behaviour changes and regular medication-taking. We assessed risk of bias for all studies as high, as all studies had at least one domain at unclear or high risk of bias. Medication adherence Due to different evaluation score systems and inconsistent definitions applied for the measurement of medication adherence, we did not conduct meta-analysis for medication adherence. Ten out of 18 studies showed a beneficial effect of mobile phone text messaging for medication adherence compared to usual care, whereas the other eight studies showed either a reduction or no difference in medication adherence with text messaging compared to usual care. Overall, the evidence is very uncertain about the effects of mobile phone text messaging for medication adherence when compared to usual care. Fatal cardiovascular events Text messaging may have little to no effect on fatal cardiovascular events compared to usual care (odds ratio 0.83, 95% confidence interval (CI) 0.47 to 1.45; 4 studies, 1654 participants; low-certainty evidence). Non-fatal cardiovascular events We found very low-certainty evidence that text messaging may have little to no effect on non-fatal cardiovascular events. Two studies reported non-fatal cardiovascular events, neither of which found evidence of a difference between groups. Combined CVD events We found very low-certainty evidence that text messaging may have little to no effect on combined CVD events. Only one study reported combined CVD events, and did not find evidence of a difference between groups. Low-density lipoprotein cholesterol Text messaging may have little to no effect on low-density lipoprotein cholesterol compared to usual care (mean difference (MD) -1.79 mg/dL, 95% CI -4.71 to 1.12; 8 studies, 4983 participants; very low-certainty evidence). Blood pressure Text messaging may have little to no effect on systolic blood pressure (MD -0.93 mmHg, 95% CI -3.55 to 1.69; 8 studies, 5173 participants; very low-certainty evidence) and diastolic blood pressure (MD -1.00 mmHg, 95% CI -2.49 to 0.50; 5 studies, 3137 participants; very low-certainty evidence) when compared to usual care. Heart rate Text messaging may have little to no effect on heart rate compared to usual care (MD -0.46 beats per minute, 95% CI -1.74 to 0.82; 4 studies, 2946 participants; very low-certainty evidence). AUTHORS' CONCLUSIONS: Due to limited evidence, we are uncertain if text messaging reduces medication adherence, fatal and non-fatal cardiovascular events, and combined cardiovascular events in people with cardiovascular diseases when compared to usual care. Furthermore, text messaging may result in little or no effect on low-density lipoprotein cholesterol, blood pressure, and heart rate compared to usual care. The included studies were of low methodological quality, and no studies assessed the effects of text messaging in low-income countries or beyond the 12-month follow-up. Long-term and high-quality randomised trials are needed, particularly in low-income countries.

Maternal health service utilization in the Jimma Zone, Ethiopia: results from a baseline study for mobile phone messaging interventions.

BACKGROUND: Over the last 20 years, global healthcare has placed a major focus on improving the survival rates of mothers and children, recognizing the potential to prevent a significant number of deaths resulting from pregnancy and childbirth. Nevertheless, there remains an ongoing obstacle to the insufficient utilization of critical obstetric services to achieve optimal health outcomes for pregnant women. This study aimed to assess the magnitude and determinants of maternal healthcare use in the Jimma Zone, Ethiopia. METHODS: Data were obtained from a household survey as part of the baseline assessment of a cluster randomized controlled trial. The study participants comprised 588 women in early pregnancy, specifically those with a gestational age of less than 20 weeks. Logistic regression analysis was employed to identify factors associated with the use of maternal health services. Adjusted odds ratios (AORs) were used to assess the strength of the associations, with significance level set at a p-value ≤ 0.05. RESULTS: The overall prevalence of maternal health service utilization was 87.9% (CI: 85.1, 90.4) for antenatal care, 74.7% (CI: 73.2, 79.9) for health facility delivery, and 60.4% (CI: 56.4, 64.3) for postnatal care. Multivariable logistic analysis revealed that maternal health service use was significantly influenced by access to health facilities (AOR: 6.6; 95% CI: 2.39, 18.16), financial hardship (AOR: 3; 95% CI: 1.97, 4.61), perceived respectful care (AOR: 2.3; 95% CI: 1.07, 5.11), perceived privacy of service provisions (AOR: 2.4; 95% CI: 1.47, 4.06), and attitudes toward maternal service use (AOR: 2.2; 95% CI: 1.48, 3.24). CONCLUSIONS: The study revealed slightly higher rates of antenatal care, facility delivery, and postpartum care utilization. However, there was a low proportion of early antenatal care initiation, and high rates of antenatal care dropout. Mobile phone-based messaging intervention may enhance maternal health service use by addressing factors such as lack of access, economic challenges, disrespectful care, no privacy of procedures, and unfavorable attitudes.

Efficacy of mobile phone intervention to increase male partner antenatal care attendance for HIV testing in Moshi municipal, Tanzania: a randomized controlled trial.

BACKGROUND: HIV partner counselling and testing in antenatal care (ANC) is a crucial strategy to raise the number of males who know their HIV status. However, in many settings like Tanzania, male involvement in antenatal care remains low, and there is a definite need for innovative strategies to increase male partner involvement. This study was designed to evaluate the efficacy of mobile phone intervention increase male partner ANC attendance for HIV testing in Moshi municipal, Tanzania. METHODS: Between April and July 2022, we enrolled pregnant women presenting to a first ANC visit at Majengo and St. Joseph reproductive health facilities without their male partners. Eligible pregnant women were randomly assigned to invitation of their male partners either via phone calls, text messages from clinic staff and verbal invites from pregnant partners (intervention arm) or verbal invites only from the pregnant partners (control arm). Neither healthcare provider nor participant were blinded. The primary outcome was the proportion of male partners who attended ANC with their pregnant partners during a follow-up period of two consecutive visits. The secondary outcome measure was HIV testing among male partners following the invitation. Participants were analyzed as originally assigned (intention to treat). RESULTS: A total of 350 pregnant women presenting to ANC for the first time were enrolled, with 175 women enrolled in each arm. The efficacy of male attendance with their pregnant women following the invitations was 83.4% (147/175) in the intervention arm and 46.3% (81/175) in the control arm. Overall, the results suggest a positive and statistically significant average treatment effect among men who received mobile phone intervention on ANC attendance. For the secondary outcome, the percent of male partners who accepted HIV counselling and testing was 99.3% (146/147) in the intervention arm and 93.8% (76/81) in the control arm. Married men were having higher odds of ANC attendance compared with single men (aOR:6.40(3.26-12.56), Males with multigravida women were having lower odds of ANC attendance compared with primigravida women (aOR:0.17(0.09-0.33). CONCLUSION: The study demonstrates that supplementing verbal invitations with mobile phone calls and text messages from clinic staff can significantly increase male partner ANC attendance and HIV testing. This combined approach is recommended in improving ANC attendance and HIV testing of male partners who do not accompany their pregnant partners to antenatal clinics in the first visits. TRIAL REGISTRATION: PACTR202209769991162.

Digital interventions for healthy ageing and cognitive health in older adults: a systematic review of mixed method studies and meta-analysis.

BACKGROUND: Currently, there is no systematic review to investigate the effectiveness of digital interventions for healthy ageing and cognitive health of older adults. This study aimed to conduct a systematic review to evaluate the effectiveness of digital intervention studies for facilitating healthy ageing and cognitive health and further identify the considerations of its application to older adults. METHODS: A systematic review and meta-analysis of literature were conducted across CINAHL, Medline, ProQuest, Cochrane, Scopus, and PubMed databases following the PRISMA guideline. All included studies were appraised using the Mixed Methods Appraisal Tool Checklist by independent reviewers. Meta-analyses were performed using JBI SUMARI software to compare quantitative studies. Thematic analyses were used for qualitative studies and synthesised into the emerging themes. RESULTS: Thirteen studies were included. Quantitative results showed no statistically significant pooled effect between health knowledge and healthy behaviour (I2 =76, p=0.436, 95% CI [-0.32,0.74]), and between cardiovascular-related health risks and care dependency I2=0, p=0.426, 95% CI [0.90,1.29]). However, a statistically significant cognitive function preservation was found in older adults who had long-term use of laptop/cellphone devices and had engaged in the computer-based physical activity program (I2=0, p<0.001, 95% CI [0.01, 0.21]). Qualitative themes for the considerations of digital application to older adults were digital engagement, communication, independence, human connection, privacy, and cost. CONCLUSIONS: Digital interventions used in older adults to facilitate healthy ageing were not always effective. Health knowledge improvement does not necessarily result in health risk reduction in that knowledge translation is key. Factors influencing knowledge translation (i.e., digital engagement, human coaching etc) were identified to determine the intervention effects. However, using digital devices appeared beneficial to maintain older adults' cognitive functions in the longer term. Therefore, the review findings suggest that the expanded meaning of a person-centred concept (i.e., from social, environmental, and healthcare system aspects) should be pursued in future practice. Privacy and cost concerns of technologies need ongoing scrutiny from policy bodies. Future research looking into the respective health benefits can provide more understanding of the current digital intervention applied to older adults. STUDY REGISTRATION: PROSPERO record ID: CRD42023400707 https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=400707 .

Design and usability evaluation of a mobile application for self-care among Iranian adolescents.

BACKGROUND: Mobile phones can be an ideal platform to engage adolescents to maintain, improve, and promote self-care. Therefore, the current study aims to design and evaluate the usability of a mobile application for self-care in adolescents with a user-centered approach. METHODS: The current applied developmental study was done in four steps. The first step, polling and examining opinions was conducted through in-depth semi-structured interviews, with the aim of user-centered mobile application design with the involvement of 30 participants. The second step, extracting and compiling the educational content related to the main themes of the self-care app, was obtained from national and international guidelines and instructions, including the World Health Organization, the Center for Disease Control and Prevention, the Ministry of Health and Medical Education, etc. In the third step, the initial version of the mobile application was developed. In the fourth step, app usability was evaluated by 30 participants from the target group, 2 weeks after using the app, using the MAUQ questionnaire. RESULTS: In the first step, 789 codes, 12 sub-categories, and 3 categories were extracted. These codes were used in the design of the mobile application. In the second step, educational information was prepared and arranged in 5 sections (physical activity, nutrition, personal hygiene, risky behaviors and safety and events) in the form of text, images and short videos. In the third step, the mobile application was designed based on step 1 and 2. This application operates in online mode and under the Android operating system. the initial version of the mobile application was developed using JavaScript and Typescript programming languages in a Visual Studio Code environment. In the fourth step, the participants the overall level of usability of the application as very good with an average of 6.28 ± 0.55. The highest average score was given to the user interface and satisfaction with an average score of 6.43 ± 0.58. CONCLUSIONS: The "My-Care" app is a collaboratively designed smartphone app for adolescents that targets 5 dimensions of physical self-care. This app has the potential to teach, assess, and promote self-care among adolescents.

Participatory development of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED).

BACKGROUND: The escalating global prevalence of type 2 diabetes and prediabetes presents a major public health challenge. Physical activity plays a critical role in managing (pre)diabetes; however, adherence to physical activity recommendations remains low. The ENERGISED trial was designed to address these challenges by integrating mHealth tools into the routine practice of general practitioners, aiming for a significant, scalable impact in (pre)diabetes patient care through increased physical activity and reduced sedentary behaviour. METHODS: The mHealth intervention for the ENERGISED trial was developed according to the mHealth development and evaluation framework, which includes the active participation of (pre)diabetes patients. This iterative process encompasses four sequential phases: (a) conceptualisation to identify key aspects of the intervention; (b) formative research including two focus groups with (pre)diabetes patients (n = 14) to tailor the intervention to the needs and preferences of the target population; (c) pre-testing using think-aloud patient interviews (n = 7) to optimise the intervention components; and (d) piloting (n = 10) to refine the intervention to its final form. RESULTS: The final intervention comprises six types of text messages, each embodying different behaviour change techniques. Some of the messages, such as those providing interim reviews of the patients' weekly step goal or feedback on their weekly performance, are delivered at fixed times of the week. Others are triggered just in time by specific physical behaviour events as detected by the Fitbit activity tracker: for example, prompts to increase walking pace are triggered after 5 min of continuous walking; and prompts to interrupt sitting following 30 min of uninterrupted sitting. For patients without a smartphone or reliable internet connection, the intervention is adapted to ensure inclusivity. Patients receive on average three to six messages per week for 12 months. During the first six months, the text messaging is supplemented with monthly phone counselling to enable personalisation of the intervention, assistance with technical issues, and enhancement of adherence. CONCLUSIONS: The participatory development of the ENERGISED mHealth intervention, incorporating just-in-time prompts, has the potential to significantly enhance the capacity of general practitioners for personalised behavioural counselling on physical activity in (pre)diabetes patients, with implications for broader applications in primary care.