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This paper describes the development process of a mobile app-based version of the World Health Organization mental health Gap Action Programme Intervention Guide, testing of the app prototypes, and its functionality in the assessment and management of people with mental health conditions in Nepal. Health workers’ perception of feasibility and acceptability of using mobile technology in mental health care was assessed during the inspiration phase (N = 43); the ideation phase involved the creation of prototypes; and prototype testing was conducted over multiple rounds with 15 healthcare providers. The app provides provisional diagnoses and treatment options based on reported symptoms. Participants found the app prototype useful in reminding them of the process of assessment and management of mental disorders. Some challenges were noted, these included a slow app prototype with multiple technical problems, including difficulty in navigating ‘yes’/‘no’ options, and there were challenges reviewing detailed symptoms of a particular disorder using a “more information” icon. The initial feasibility work suggests that if the technical issues are addressed, the e-mhGAP warrants further research to understand if it is a useful method in improving the detection of people with mental health conditions and initiation of evidence-based treatment in primary healthcare facilities.
The high prevalence of mental health problems among university students poses a challenge when developing effective interventions, with digital technologies emerging as a potential resource to address this problem. The inclusion of student input in the design and development of such interventions is critical to improving their impact. This study contributed to the initial phase of a research project that aims to adapt and evaluate the feasibility and acceptability of an early intervention for anxiety and depression based on digital technologies for university students. Three participatory workshops were conducted with 13 university students in Chile to inquire about the features and content that a mental health mobile app should include to meet their needs and preferences. The workshop transcripts were analysed using inductive thematic analysis. The results of this study highlight the value of modifications such as the personalisation of some features of the app. The students recommended incorporating topics related to university life and the possibility of contacting a mental health professional, as well as the inclusion of peer interaction or other forms of support.
To investigate the effectiveness of eTansiyon smartphone application in blood pressure control in patients with hypertension.
Background:
Global prevalence of hypertension and the burden of chronic illness care, especially in primary care, are increasing in world. We have developed eTansiyon to ensure the continuity of patient-physician relationship, so it may help to improve the lifestyle of patients with hypertension, increase their adherence to treatment and achieve the target blood pressure.
Methods:
This study was a non-randomized controlled study. The sample was selected by random sampling method among the patients registered in 6 Family Health Units (FHUs). Randomization was performed at the FHU level; the units were randomized to 4 control group (CG) and 2 intervention group (IG), so that randomization in this study was 2:1. Both groups were followed up for at least four months. In addition to CG, IG were provided to use eTansiyon. Obtained data were analysed to evaluate differences between groups at the beginning and end of the study, intra-group changes after follow-up and interaction between groups and follow-up period.
Findings:
The study was performed with 124 patients in CG and 61 patients in IG. At the end of the study, the average systolic blood pressure/diastolic blood pressure (SBP/DBP) of office and home was significantly lower in IG compared to CG (P < 0.001, MD 9.5 mmHg; P = 0.007, MD 3.8 mmHg; P < 0.001, MD 10.6 mmHg; P < 0.001, MD 4.8 mmHg, respectively), and it was found that the proportion of people with target blood pressure in IG was significantly higher than CG (P < 0.001, 49.2%(n = 30) and 22.6%(n = 28), respectively). Repeated measures ANOVA and generalized estimating equations results showed that follow-up period and interaction between groups were significant in terms of office and home SBP/DBP and target blood pressure level during follow-up period (P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.024, respectively).
Even though cognitive behavior therapy is proven to be an effective treatment for panic disorder, the scarcity of psychiatrists cause many patients not to get a sufficient therapy. E-mental health applications are being developed to address this shortage, especially after the COVID-19 pandemic. However, none of the e-mental health applications developed so far has offered a structured cognitive behavioral therapy.
Objectives
We are developing a mobile application which will integrate with psychiatric interventions that aims to make cognitive behavioral therapy more accessible.
Methods
Our algorithm consists of multiple choice questions and answers to determine the progression of the algorithm. The first three sessions consist of psycho-education of the application and the cognitive therapy model of panic mostly. During the psycho-education sessions, patients’ symptoms during panic attacks and their catastrophic thoughts will be questioned to be used in following sessions. After the panic log has been introduced in the third session, patients will enter the details of their panic attacks right after they experience it and this information will be investigated in the following sessions. Progress for the cognitive restructuring will be monitored as the sessions proceed. Later session will also include in-session symptom induction exercises.
Results
We are still on the development phase of the mobile application. Hence we do not have any data to present at the moment.
Conclusions
Our main purpose is to develop a mobile application which will integrate with structured cognitive behavioral therapy process, reduce the workload of the therapist and is easily accessible through the smart phones.
Many parents of infants with CHD find it difficult to recognise symptoms of deterioration in their children. Therefore, a personalised decision support application for parents has been developed. This application aims to increase parents’ awareness of their infant’s normal condition, help them assess signs of deterioration, decide who and when to contact health services, and what to report. The aim of this paper is to describe the concept and report results from a usability study.
Methods:
An interprofessional group developed a mobile application called the Heart OBServation app in close collaboration with parents using an iterative process. We performed a usability study consisting of semi-structured interviews of 10 families at discharge and after one month and arranged two focus group interviews with nurses caring for these families. A thematic framework analysis of the interviews explored the usability of features in the application. Usability was assessed twice using the System Usability Scale, and a user log was registered throughout the study.
Results:
The overall system usability score, 82.3 after discharge and 81.7 after one month, indicates good system usability. The features of Heart OBServation were perceived as useful to provide tailored information, increase awareness of the child’s normal condition, and to guide parents in what to look for. To empower parents, an interactive discharge checklist was added.
Conclusions:
The Heart OBServation demonstrated good usability and was well received by parents and nurses. Feasibility and benefits of this application in clinical practice will be investigated in further studies
The development of technologies for children's dietary assessment shows important potential for reducing the occurrence of inherent errors in traditional methods. The present study aimed to describe the development of a mobile app for the dietary assessment of Brazilian schoolchildren. The mobile app assesses schoolchildren's diet with self-report by their parents or guardians in the home environment, through multiple-pass 24-hour recall coupled with a food propensity questionnaire; and by an adult in the school environment, through a food record. The tool presents a database of food items usually consumed by Brazilian schoolchildren, including modes of preparation, probing foods and types of food quantification such as digital photos of household measurements and food portions. The CADE app (food consumption at home and at school) contains 2125 food items, 9 options for preparation methods and 18 options for probing items. There are 75 options for household measurements, also including 26 digital photos of four types of household measurements and 440 photos of portion sizes of 90 foods from the Brazilian Manual of Child Food Portion Quantification. Some innovative features include an interface to take photos of the child's meals and report seconds and leftover food consumption, besides the possibility of receiving notifications on the mobile device to remember to report the diet. The CADE app can assist the standardisation and automation of dietary data collection from schoolchildren, support food and nutrition data in childhood and promote research in nutritional epidemiology while reducing data collection costs.
Bovine respiratory disease (BRD) is the leading natural cause of death in US beef and dairy cattle, causing the annual loss of more than 1 million animals and financial losses in excess of $700 million. The multiple etiologies of BRD and its complex web of risk factors necessitate a herd-specific intervention plan for its prevention and control on dairies. Hence, a risk assessment is an important tool that producers and veterinarians can utilize for a comprehensive assessment of the management and host factors that predispose calves to BRD. The current study identifies the steps taken to develop the first BRD risk assessment tool and its components, namely the BRD risk factor questionnaire, the BRD scoring system, and a herd-specific BRD control and prevention plan. The risk factor questionnaire was designed to inquire on aspects of calf-rearing including management practices that affect calf health generally, and BRD specifically. The risk scores associated with each risk factor investigated in the questionnaire were estimated based on data from two observational studies. Producers can also estimate the prevalence of BRD in their calf herds using a smart phone or tablet application that facilitates selection of a true random sample of calves for scoring using the California BRD scoring system. Based on the risk factors identified, producers and herd veterinarians can then decide the management changes needed to mitigate the calf herd's risk for BRD. A follow-up risk assessment after a duration of time sufficient for exposure of a new cohort of calves to the management changes introduced in response to the risk assessment is recommended to monitor the prevalence of BRD.
To evaluate the quality and content of free smoking cessation apps and assess their adherence to the US Public Health Service guideline for treating tobacco use and dependence.
Methods
In total 180 apps were downloaded from the App Store and Google Play Store in January 2018; the top-ranking 30 apps were retrieved for the search terms: ‘smoking cessation’, ‘quit smoking’, ‘stop smoking’. Technical quality was rated using the Mobile Application Rating Scale (MARS) and by assessing other characteristics, behavioral change strategies and adherence to the 5As.
Results/findings
A total 67 free-to-download apps were identified for full review (n = 40 from the Apple App Store and n = 27 from the Google Play Store). The average MARS score was 16.2/19.0: Engagement (3.3/5.0), Functionality (4.4/5.0), Aesthetics (4.0/5.0), and Information (2.6/5.0). Overall, 43 apps allowed sharing, 12 allowed for an app community, and five required a password. The following features were observed: assessment (n = 51), feedback (n = 38), information/education (n = 45), monitoring (n = 52), and goal setting (n = 23). Significant differences were found among apps adhering to the 5As: Ask (n = 44), Advise (n = 54), Assess (n = 30), Assist (n = 62), and Arrange (n = 0).
Conclusions
Given the growth in smoking cessation apps, future efforts should focus on improving their technical quality and adherence to the 5As.
Voice conversion aims to change a source speaker's voice to make it sound like the one of a target speaker while preserving linguistic information. Despite the rapid advance of voice conversion algorithms in the last decade, most of them are still too complicated to be accessible to the public. With the popularity of mobile devices especially smart phones, mobile voice conversion applications are highly desirable such that everyone can enjoy the pleasure of high-quality voice mimicry and people with speech disorders can also potentially benefit from it. Due to the limited computing resources on mobile phones, the major concern is the time efficiency of such a mobile application to guarantee positive user experience. In this paper, we detail the development of a mobile voice conversion system based on the Gaussian mixture model (GMM) and the weighted frequency warping methods. We attempt to boost the computational efficiency by making the best of hardware characteristics of today's mobile phones, such as parallel computing on multiple cores and the advanced vectorization support. Experimental evaluation results indicate that our system can achieve acceptable voice conversion performance while the conversion time for a five-second sentence only takes slightly more than one second on iPhone 7.
Mobile mood-monitoring applications are increasingly used by mental health providers, widely advocated within research, and a potentially effective method to engage young people. However, little is known about their efficacy and usability in young populations.
Method
A systematic review addressing three research questions focused on young people: (1) what are the psychometric properties of mobile mood-monitoring applications; (2) what is their usability; and (3) what are their positive and negative clinical impacts? Findings were synthesised narratively, study quality assessed and compared with evidence from adult studies.
Results
We reviewed 25 articles. Studies on the psychometric properties of mobile mood-monitoring applications were sparse, but indicate questionable to excellent internal consistency, moderate concurrent validity and good usability. Participation rates ranged from 30% to 99% across studies, and appeared to be affected by methodological factors (e.g. payments) and individual characteristics (e.g. IQ score). Mobile mood-monitoring applications are positively perceived by youth, may reduce depressive symptoms by increasing emotional awareness, and could aid in the detection of mental health and substance use problems. There was very limited evidence on potential negative impacts.
Conclusions
Evidence for the use of mood-monitoring applications in youth is promising but limited due to a lack of high-quality studies. Future work should explicate the effects of mobile mood-monitoring applications on effective self-regulation, clinical outcomes across disorders and young people's engagement with mental health services. Potential negative impacts in this population should also be investigated, as the adult literature suggests that application use could potentially increase negativity and depression symptoms.
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