Informatics for Health & Social Care最新文献

The co-design of a mobile health (mHealth) application for family caregivers of people with dementia to address functional disability care needs is presented. Participants included family caregivers of people with dementia, aged care nurses, physicians, occupational therapists, and information technology (IT) experts. The co-design process involved two phases: (1) needs assessment phase (an online survey and in-depth interviews with family caregivers and expert consultation); and (2) development of an mHealth application (content and prototype development). Data triangulation from phase one informed the content of the application. Data triangulation resulted in three content modules: "an overview of dementia and care," "management of daily living activities," and "caregivers' health and well-being." The content was based on contemporary literature, and care guidelines with input from family caregivers and dementia care experts. IT engineers developed the mHealth application. In this study, an Android-based mHealth application was designed to address the functional care needs of family caregivers and the co-design process ensured the incorporation of end-users' real-world experiences and the opinions and expertise of key stakeholders in the development of the application prototype.It is to be noted that before releasing the application into the app store, testing its feasibility and effectiveness is essential.

This paper describes the software design/development process leading to an improved computerized clinical/management solution-RSIPA (2016 version)-integrating care pathways (CPs) specifically designed to meet the needs of frail and disabled older adults in home care. The development methodology used Soft Systems Methodology (SSM) for the initial system design and participatory design (PD) to involve stakeholders and end users, along with AGILE SCRUM methodology to provide rapid iterations in adapting to new requests. Given scarce project resources, we opted to combine methodologies to efficiently deliver a fully functional system for three of the five CP clinical phases. The development methodology aggregated assessment-based data to identify risk factors and assist in needs prioritization leading to care plans and addressed in the current system. The new Quebec RSIPA solution incorporating CCPs is a promising example of technologies that support person-centered care, clinical and management processes, and proactive care in home-care settings.

Accurate identification of transgender persons is a critical first step in conducting transgender health studies. To develop an automated algorithm for identifying transgender individuals from electronic medical records (EMR) using free-text clinical notes. The development and validation of the algorithm was based on data from an integrated healthcare system that served as a participating site in the multicenter Study of Transition Outcomes and Gender. The training and test datasets each contained a total of 300 individuals identified between 2006 and 2014. Both datasets underwent a full medical record review by experienced research abstractors. The validated algorithm was then implemented to identify transgender individuals in the EMR using all clinical notes of patients that received care between January 1, 2015 and June 30, 2018. Validation of the algorithm against the full chart review demonstrated a high degree of accuracy with 97% sensitivity, 95% specificity, 94% positive predictive value, and 97% negative predictive value. The algorithm classified 7,409 individuals (3.5%) as "Definitely transgender" and 679 individuals (0.3%) as "Probably transgender" out of 212,138 candidates with a total of 378,641 clinical notes. The computerized NLP algorithm can support essential efforts to improve the health of transgender people.

The expansion of mobile health apps for the management of COVID-19 grew exponentially in recent months. However, no study has evaluated these apps. The objective of this study was to develop a reliable measure and rate the quality of COVID-19 mobile health apps, to eventually provide a roadmap for future mHealth app development. In this study, we used COVID-related keywords to identify apps for iOS and Android devices. 13 apps (13.5% of the total number of apps identified) were selected for evaluation. App quality was assessed independently using MARS by two reviewers. Search queries yielded a total of 97 potentially relevant apps, of which 13 met our final inclusion criteria. Kendall's coefficient of concordance value for the inter-rater agreement was 0.93 (p = .03). COVID-19 GOV PK app had the highest average MARS score (4.7/5), and all of the apps had acceptable MARS scores (> 3.0). This study suggests that most COVID-related apps meet acceptable criteria for quality, content, or functionality, and they must highlight esthetic and interesting features for overall quality improvement to be welcomed by users.

Pregnant women get information about pregnancy andchild-birth from many sources, including the Internet. There is alack of evidence about the extent to which pregnant women usethis source. This study aimed to investigate the use of the Internetby pregnant women to search for information about pregnancyand childbirth. This study was conducted in Kerman, Iran. Threehundred eighty-five pregnant women waiting for their appointmentswith obstetricians/gynecologists participated in the survey byfilling out a questionnaire. The most common searched topicswere nutrition in pregnancy (81%), fetal development (67%), andcomplications of pregnancy (49%). The most popular sources ofinformation were physicians (61%), the Internet (51%), and printedsources (41%), respectively. More than half of the participantsdid not share the retrieved information from the Internet with theirhealth professionals. After being examined by a physician, 43% ofthe participants searched the Internet about the discussed topic.Beside physicians, the Internet is the second common source ofpregnancy and childbirth information for Iranian pregnant women.Future studies are needed to analyze the quality and accuracy ofonline pregnancy and childbirth information.

We aimed to describe website traffic and qualitatively analyze an e-health community discussion forum. Participants in this study were people affected by multiple sclerosis visiting the Overcoming Multiple Sclerosis (OMS) website. This mixed methods study combined descriptive analysis of website traffic over 7 years and 1 month, and qualitative analysis of 1 week of posts in the meditation topic, coded into theme groups using qualitative thematic analysis. There were 166 meditation topics posted with 21,530 initial views of primary post and 785 sub-post responses. Meditation posts and sub-posts received 368,713 replies. Number of views increased from 4,684 in 2011 to over 80,000 in 2017, a considerably greater rate of increase than overall traffic. Qualitative analysis of posts on the meditation forum identified themes of barriers and enablers to utilization of meditation resources. Enablement themes dominated, observed across six of the seven theme groups with various forms of positive social and emotional support to learn and practice meditation. One theme, negative emotion, was identified as a barrier. The OMS peer-to-peer patient online discussion forum serves important functions in encouraging, educating and enabling its growing online community. Our analysis may help improve and innovate online support for lifestyle management in many chronic diseases.

Objective: To review the qualitative literature on mobile health applications for people with dementia.

Methods: A systematic review was undertaken. Five databases were searched using relevant keywords. Titles, abstracts and full-text papers were screened independently by two reviewers. Data extraction and quality assessment were conducted. Analysis was guided by framework synthesis and underpinned by the Digital Health Engagement Model.

Results: Nine studies were included. Three themes emerged around the experiences of people with dementia when using health apps. The technology seemed to improve some aspects of physical, mental and social health such as stimulating cognitive function and communication skills. When implementing health applications with persons with dementia six themes came to light. How well an application or mobile device was designed and the quality of information on it, seemed to influence use. Digital knowledge and skills were also needed to engage with the technology. One's personal lifestyle and agency were other relevant factors affecting implementation, along with the health of an individual with dementia.

Conclusion: Further research examining the efficacy of health apps for people with dementia is required. Utilizing co-design approaches to create mobile technology with those with dementia should also be considered.

Prospero registration number: CRD42015029846.

The objective was to test the feasibility of a novel model of electronic linkage and interrogation of large, sensitive, administrative datasets derived from health care, social care, and criminal justice. Participants comprised all individuals having completed suicide or drug-related death in Tayside between 2009 and 2014. Data were hosted, linked, and pseudo-anonymized by a Trusted Third Party and were interrogated via secure access to the HIC Scottish Government-certified Safe Haven. Several barriers were encountered concerning data access, with all but one issue (obtaining criminal justice data) ultimately soluble. However, each barrier led to a substantial delay in either obtaining the required approvals or in receiving the specified data extracts. Generally, data coverage was good but data quality was poor, with almost a fifth of the data fields (17%) being less than 10% complete. The feasibility of this novel approach was demonstrated. Critically, this was achieved because of the central involvement of a Trusted Third Party and the use of a Government-certified Safe Haven. Future studies using a similar model of data acquisition and analysis should consider the potential delays resulting from organizations' lack of familiarity with their data-sharing protocols and procedures.

Introduction: A lack of core food accessibility negatively affects diet quality, potentially increasing the prevalence of health risk factors such as obesity. The purpose of this study was to investigate core food access in an Australian regional center through the use of data visualization techniques.

Methods: Supermarkets were used as a proxy for core food accessibility and were identified and mapped by town region with a combination of Google Maps and Stata/IC 15.1 software. A statistical analysis comparing the demographics of each town region was also completed using Stata.

Results: The maps generated suggest that there may be a disparity in core food accessibility between town regions. The analysis of demographics demonstrated that one town region had a greater proportion of disadvantaged residents, with statistically significant variation between regions.

Conclusion: Data visualization and analysis may be a useful tool for clinicians to communicate accessibility information experienced by local residents. This need not be limited to food accessibility and extended to health services.

Objective: This study examines how seniors in Singapore use mobile devices for healthcare purposes.

Methods: Semi-structured interviews with 35 mobile phone users aged between 58-82 years old.

Results: Seniors regard mobile phones as important personal devices for socialization, security, and emergency purposes. Most of the seniors consider mobile telephony (voice calls and text messaging) as an accessible platform to access healthcare. Perceived usefulness, ease of use, compatibility, technology anxiety, financial cost, and self-efficacy were identified as factors affecting the use of mHealth among seniors. Although a few adopt mHealth applications and mobile Internet for health-information seeking, some younger seniors show enthusiastic attitudes toward its adoption. Additionally, some seniors also have technology anxiety and resistance toward using mHealth applications.

Conclusion: Seniors use mobile phones for healthcare purposes in their daily life, and its use involves several facilitators and barriers. Interpersonal training is likely to reduce their anxiety and increase mHealth literacy and adoption. Theoretical and practical implications are discussed.