UNASSIGNED: The Global Specialist Digital Health Workforce Census is the largest workforce survey of the specialist roles that support the development, use, management, and governance of health data, health information, health knowledge, and health technology.
UNASSIGNED: This paper aims to present an analysis of the roles and functions reported by respondents in the 2023 census.
UNASSIGNED: The 2023 census was deployed using Qualtrics and was open from July 1 to August 13, 2023. A broad definition was provided to guide respondents about who is in the specialist digital health workforce. Anyone who self-identifies as being part of this workforce could undertake the survey. The data was analyzed using descriptive statistical analysis and thematic analysis of the functions respondents reported in their roles.
UNASSIGNED: A total of 1103 respondents completed the census, with data reported about their demographic information and their roles. The majority of respondents lived in Australia (n=870, 78.9%) or New Zealand (n=130, 11.8%), with most (n=620, 56.3%) aged 35-54 years and identifying as female (n=720, 65.3%). The top four occupational specialties were health informatics (n=179, 20.2%), health information management (n=175, 19.8%), health information technology (n=128, 14.4%), and health librarianship (n=104, 11.7%). Nearly all (n=797, 90%) participants identified as a manager or professional. Less than half (430/1019, 42.2%) had a formal qualification in a specialist digital health area, and only one-quarter (244/938, 26%) held a credential in a digital health area. While two-thirds (502/763, 65.7%) reported undertaking professional development in the last year, most were self-directed activities, such as seeking information or consuming online content. Work undertaken by specialist digital health workers could be classified as either leadership, functional, occupational, or technological.
UNASSIGNED: Future specialist digital health workforce capability frameworks should include the aspects of leadership, function, occupation, and technology. This largely unqualified workforce is undertaking little formal professional development to upskill them to continue to support the safe delivery and management of health and care through the use of digital data and technology.

BACKGROUND:  Antenatal care (ANC) is crucial to reducing maternal and neonatal deaths, but few studies examined adolescent girls\' and young women\'s ANC utilisation and knowledge in Ghana.
OBJECTIVE:  To assess adolescents\' and young mothers\' knowledge of ANC, utilisation and factors influencing its use in Ghana.
METHODS:  Tano North Municipality, Ahafo Region.
METHODS:  This community-based, cross-sectional study involved 440 adolescent and young mothers (between 10 and 24 years). A structured questionnaire was employed to collect data face-to-face. Descriptive and statistical analyses were performed, and p  0.05 was considered statistically significant.
RESULTS:  Of the 440 respondents, most were aged 20-24 years (61.2%), married (30.0%), Christians (78.2%), completed junior high school (JHS) (47.8%) and traders (38.9%). Postnatal mothers were 71.6% (315), and all had utilised ANC services. Antenatal care knowledge was good among 75% (330) respondents, with no significant variation by age. Religion influenced knowledge, with Muslims having lower knowledge. Antenatal care utilisation was high ( 50%) among those aged 15-19 years, married, Christians, JHS graduates and traders. Age, marital status and employment type significantly influenced ANC utilisation. Individuals in the age group 15-19 years and married women demonstrated higher odds of utilising ANC services. Casual workers and unemployed respondents were found to have lower odds of utilising ANC services compared to traders.
CONCLUSIONS:  Age, marital status, and employment type influenced ANC utilisation in the Ahafo Region. Adolescent mothers under 15 years had lower rates, requiring targeted interventions to improve pregnancy outcomes.Contribution: This study highlights the knowledge and factors influencing ANC use in Ahafo Region and adds to the existing research evidence on ANC.

In this viewpoint, we present evidence of a marked increase in the use of assistive technology (AT) by older adults over the last 25 years. We also explain the way in which this use has expanded not only as an increase in terms of the total number of users but also by going beyond the typical scopes of use from its inception in 1999 to reach new categories of users. We outline our opinions on some of the key driving forces behind this expansion, such as population demographic changes, technological advances, and the promotion of AT as a means to enable older adults to achieve independent living. As well as our review of the evolution of AT over the past 25 years, we also discuss the future of AT research as a field and the need for harmonization of terminology in AT research. Finally, we outline how our experience in North Norfolk (notably the United Kingdom\'s most old age-dependent district) suggests that cocreation may be the key to not only successful research trials in the field of AT but also to the successful sustained adoption of AT beyond its original scope of use.

BACKGROUND: During adolescence, substance use and digital media exposure usually peak and can become major health risks. Prevention activities are mainly implemented in the regular school setting, and youth outside this system are not reached. A mobile app (\"Meine Zeit ohne\") has been developed specifically for vocational students and encourages participants to voluntarily reduce or abstain from a self-chosen addictive behavior including the use of a substance, gambling, or a media-related habit such as gaming or social media use for 2 weeks. Results from a randomized study indicate a significant impact on health-promoting behavior change after using the app. This exploratory study focuses on the intervention arm of this study, focusing on acceptance and differential effectiveness.
OBJECTIVE: The aims of this study were (1) to examine the characteristics of participants who used the app, (2) to explore the effectiveness of the mobile intervention depending on how the app was used and depending on participants\' characteristics, and (3) to study how variations in app use were related to participants\' baseline characteristics.
METHODS: Log data from study participants in the intervention group were analyzed including the frequency of app use (in days), selection of a specific challenge, and personal relevance (ie, the user was above a predefined risk score for a certain addictive behavior) of challenge selection (\"congruent use\": eg, a smoker selected a challenge related to reducing or quitting smoking). Dichotomous outcomes (change vs no change) referred to past-month substance use, gambling, and media-related behaviors. The relationship between these variables was analyzed using binary, multilevel, mixed-effects logistic regression models.
RESULTS: The intervention group consisted of 2367 vocational students, and 1458 (61.6%; mean age 19.0, SD 3.5 years; 830/1458, 56.9% male) of them provided full data. Of these 1458 students, 894 (61.3%) started a challenge and could be included in the analysis (mean 18.7, SD 3.5 years; 363/894, 40.6% female). Of these 894 students, 466 (52.1%) were considered frequent app users with more than 4 days of active use over the 2-week period. The challenge area most often chosen in the analyzed sample was related to social media use (332/894, 37.1%). A total of 407 (45.5%) of the 894 students selected a challenge in a behavioral domain of personal relevance. The effects of app use on outcomes were higher when the area of individual challenge choice was equal to the area of behavior change, challenge choice was related to a behavior of personal relevance, and the individual risk of engaging in different addictive behaviors was high.
CONCLUSIONS: The domain-specific effectiveness of the program was confirmed with no spillover between behavioral domains. Effectiveness appeared to be dependent on app use and users\' characteristics.
BACKGROUND: German Clinical Trials Register DRKS00023788; https://tinyurl.com/4pzpjkmj.
UNASSIGNED: RR2-10.1186/s13063-022-06231-x.

Cocoa tree plantations aim to harvest grains found in the cob to produce cocoa and chocolate. There has been a growing interest in valorizing the secondary components of the cocoa fruit, such as the peel, placenta, and mucilage/pulp, as valuable sources of nutrients for healthy food preparation. In other words, by-products derived from these raw materials are an exploitable source of nutrients in the preparation of healthy food. In the present study, two varieties of cocoa, National Cocoa Fino de Aroma (NCFA) and Colección Castro Naranjal 51 (CCN-51), were evaluated and harvested during both dry and rainy seasons. This evaluation was based on the profiling of the cob, peel, grain, placenta, and mucilage in different stages of ripeness (underripe, ripe, and overripe). Also, from the ripe raw material, a fermented beverage prototype was developed, such as kombucha, with different concentrations of mucilage (40, 60, 80, and 100 g/L). Physicochemical analyses, such as acidity, °Brix, pH, moisture, ash, protein, fat, fiber, vitamins, sugars, and polyphenols of the raw mucilage material and acidity, °Brix, and pH values of the fermented kombucha, were carried out. The best performances were obtained with the CCN-51 variety in the rainy season. Among the fermented drink panelists, the CN40 treatment (Nacional Mucilage + 40 g/L of sugar) received the highest acceptability and was considered the best. Given its efficiency, nutritional content, and potential applications, this product presents a promising strategy to address Sustainable Development Goals related to zero hunger, health and well-being, and climate action.

BACKGROUND: Chronic pain is prevalent in our society, with conditions such as fibromyalgia being notably widespread. The gold standard for aiding individuals dealing with chronic pain involves interdisciplinary approaches rooted in a biopsychosocial perspective. Regrettably, access to such care is difficult for most of the people in need. Information and communication technologies (ICTs) have been used as a way of overcoming access barriers (among other advantages).
OBJECTIVE: This study addressed the little explored area of how individuals with fibromyalgia use and perceive different types of ICTs for pain management.
METHODS: A cross-sectional study was conducted using an online survey. This survey was created to assess the use of different ICT tools for pain management, satisfaction with the tools used, and perceived advantages and disadvantages. In addition, data collection encompassed sociodemographic variables and pain-related variables, pain intensity, the impact of pain on daily life activities, and fear of movement/injury beliefs. In total, 265 individuals diagnosed with fibromyalgia completed the survey.
RESULTS: Only 2 (0.75%) participants reported not having used any ICT tool for pain management. Among those who used ICT tools, an average of 10.94 (SD 4.48) of 14 different tools were used, with the most used options being instant messaging apps, websites dedicated to managing fibromyalgia, phone calls with health professionals, and online multimedia resources. Satisfaction rates were relatively modest (mean 2.09, SD 0.38) on a scale from 0 to 5, with instant messaging apps, phone calls with health professionals, fibromyalgia management websites, and online multimedia resources being the ones with higher satisfaction. Participants appreciated the ability to receive treatment from home, access to specialized treatment, and using ICTs as a supplement to in-person interventions. However, they also highlighted drawbacks, such as a lack of close contact with health professionals, difficulty expressing emotions, and a lack of knowledge or resources to use ICTs. The use of ICTs was influenced by age and educational background. Additionally, there was a negative correlation between satisfaction with ICT tools and fear of movement/injury.
CONCLUSIONS: People with fibromyalgia are prone to using ICTs for pain management, especially those tools that allow them to be in contact with health professionals and have access to online resources. However, there is still a need to improve ICT tools since satisfaction ratings are modest. Moreover, strategies aimed at older people, those with lower levels of education, and those with higher levels of fear of movement/injury can be useful to potentiate the use of ICTs among them.

BACKGROUND: Mobile health (mHealth) is increasingly used to support public health practice, as it has positive benefits such as enhancing self-efficacy and facilitating chronic disease management. Yet, relatively few studies have explored the use of mHealth apps among nurses, despite their important role in caring for patients with and at risk of chronic conditions.
OBJECTIVE: The aim of the study is to explore nurses\' use of mHealth apps to support adults with or at risk of chronic conditions and understand the factors that influence technology adoption.
METHODS: A web-based cross-sectional survey was conducted between September 2022 and January 2023. The survey was shared via social media and professional nursing organizations to Australian nurses caring for adults with or at risk of chronic conditions.
RESULTS: A total of 158 responses were included in the analysis. More than two-thirds (n=108, 68.4%) of respondents reported that they personally used at least 1 mHealth app. Over half (n=83, 52.5% to n=108, 68.4%) reported they use mHealth apps at least a few times a month for clinical purposes. Logistic regression demonstrated that performance expectancy (P=.04), facilitating condition (P=.05), and personal use of mHealth apps (P=.05) were significantly associated with mHealth app recommendation. In contrast, effort expectancy (P=.09) and social influence (P=.46) did not have a significant influence on whether respondents recommended mHealth apps to patients. The inability to identify the quality of mHealth apps and the lack of access to mobile devices or internet were the most common barriers to mHealth app recommendation.
CONCLUSIONS: While nurses use mHealth apps personally, there is potential to increase their clinical application. Given the challenges reported in appraising and assessing mHealth apps, app regulation and upskilling nurses will help to integrate mHealth apps into usual patient care.

BACKGROUND: Malaria poses a substantial public health threat in Myanmar, indicating the need for rigorous efforts to achieve elimination of the disease nationwide by 2030. The use of insecticide-treated nets (ITNs) forms part of a pivotal strategy for preventing transmission. This study explored the ownership and use of ITNs in Myanmar and identified factors associated with non-use of ITNs.
METHODS: Household datasets from the 2015-2016 Myanmar Demographic and Health Survey were utilised, which encompassed all household members except children under the age of five. Descriptive statistics and inferential tests, including simple and multiple logistics regression models and Pearson correlations, were employed for analysis. All analyses, taking the two-stage stratified cluster sampling design into account, used weighting factors and the \"svyset\" command in STATA. The ownership and use of bed nets were also visualised in QGIS maps.
RESULTS: Among the 46,507 participants, 22.3% (95% CI 20.0%, 24.5%) had access to ITNs, with only 15.3% (95% CI 13.7, 17.1%) sleeping under an ITN the night before the survey. Factors associated with the non-use of ITNs included age category (15-34 years-aOR: 1.17, 95% CI 1.01, 1.30; 50+ years-aOR: 1.19, 95% CI 1.06, 1.33), location (delta or lowland-aOR: 5.39, 95% CI 3.94, 7.38; hills-aOR: 1.80, 95% CI 1.20, 2.71; plains-aOR: 3.89, 95% CI 2.51, 6.03), urban residency (aOR: 1.63, 95% CI 1.22, 2.17), and wealth quintile (third-aOR: 1.38, 95% CI 1.08, 1.75; fourth-aOR: 1.65, 95% CI 1.23, 2.23; fifth-aOR: 1.47, 95% CI 1.02, 2.13). A coherent distribution of the ownership and use of ITNs was seen across all states/regions, and a strong correlation existed between the ownership and use of ITNs (r: 0.9795, 95% CI 0.9377, 0.9933, alpha < 0.001).
CONCLUSIONS: This study identified relatively low percentages of ITN ownership and use, indicating the need to increase the distribution of ITNs to achieve the target of at least one ITN per every two people. Strengthening the use of ITNs requires targeted health promotion interventions, especially among relatively affluent individuals residing in delta or lowland areas, hills, and plains.

BACKGROUND: The emergence of smartphones has sparked a transformation across multiple fields, with health care being one of the most notable due to the advent of mobile health (mHealth) apps. As mHealth apps have gained popularity, there is a need to understand their energy consumption patterns as an integral part of the evolving landscape of health care technologies.
OBJECTIVE: This study aims to identify the key contributors to elevated energy consumption in mHealth apps and suggest methods for their optimization, addressing a significant void in our comprehension of the energy dynamics at play within mHealth apps.
METHODS: Through quantitative comparative analysis of 10 prominent mHealth apps available on Android platforms within the United States, this study examined factors contributing to high energy consumption. The analysis included descriptive statistics, comparative analysis using ANOVA, and regression analysis to examine how certain factors impact energy use and consumption.
RESULTS: Observed energy use variances in mHealth apps stemmed from user interactions, features, and underlying technology. Descriptive analysis revealed variability in app energy consumption (150-310 milliwatt-hours), highlighting the influence of user interaction and app complexity. ANOVA verified these findings, indicating the critical role of engagement and functionality. Regression modeling (energy consumption = β₀ + β₁ × notification frequency + β₂ × GPS use + β₃ × app complexity + ε), with statistically significant P values (notification frequency with a P value of .01, GPS use with a P value of .05, and app complexity with a P value of .03), further quantified these bases\' effects on energy use.
CONCLUSIONS: The observed differences in the energy consumption of dietary apps reaffirm the need for a multidisciplinary approach to bring together app developers, end users, and health care experts to foster improved energy conservation practice while achieving a balance between sustainable practice and user experience. More research is needed to better understand how to scale-up consumer engagement to achieve sustainable development goal 12 on responsible consumption and production.

BACKGROUND: Universal coverage with insecticide-treated nets (ITNs) is important for malaria control and elimination. The emergence and intensification of insecticide resistance threatens progress made through the deployment of these interventions and has required the development of newer, more expensive ITN types. Understanding malaria prevention behaviour, including barriers and facilitators to net access and use, can support effective decision-making for the promotion and distribution of ITNs.
METHODS: In-depth interviews and focus group discussions were conducted in 3 to 4 villages per district, in 13 districts across Burkina Faso, Mozambique, Nigeria and Rwanda from 2019 to 2022. Interviews were conducted in the local language, translated and transcribed in English, French or Portuguese. Transcripts were coded and analysed using Nvivo and ATLAS.ti.
RESULTS: ITNs were obtained from mass distribution campaigns, antenatal care and immunization visits, and purchased on the private market in some locations. While there were divergent perspectives in whether the number of distributed nets were adequate, participants consistently expressed concerns of bias, discrimination, and a lack of transparency with the distribution process. ITNs were frequently used alongside other malaria prevention methods. The primary motivation for use was malaria prevention. While some participants reported using nets nightly throughout the year, other participants reported seasonal use, both due to the perceived higher density of mosquitoes and discomfort of sleeping under a net in the increased heat. Other barriers to consistent net use included activities that take place away from the home, sleeping patterns and arrangements, and sensitivity to the insecticides on the nets.
CONCLUSIONS: ITNs remain an important malaria control intervention. To ensure adequate and increased net access, distribution campaigns should consider family structures, available sleeping spaces, and other bed sharing preferences when identifying the number of nets needed for distribution. In addition, campaigns should allow for multiple options for net distribution points and timing to accommodate households remote to health services. Continuous distribution channels and complimentary distribution through the private sector could help fill gaps in coverage. Solutions are needed for outdoor malaria transmission, including alternative designs for ITNs, and improving access to complementary personal protective measures.