Skills and competencies in health data analytics for health professionals: a scoping review protocol.

INTRODUCTION: Healthcare data analytics is a methodological approach to the systematic analysis of health data, and it provides opportunities for healthcare professionals to improve health system management, patient engagement, budgeting, planning and performing evidence-based decision-making. Literature suggests that certain skills and/or competencies for health professionals working with big data in health care would be required. A review of the skills and competencies in health data analytics required by health professionals is needed to support the development or re-engineering of curriculum for health professionals to ensure they develop the abilities to make evidence-based decisions that ultimately can lead to the effective and efficient functioning of a healthcare system. METHODS: Using Arksey and O'Malley's framework, this study will review literature published in English from January 2012 to December 2022. The database search includes Academic Search Complete, CINAHL, and MEDLINE via EBSCOhost, PubMed, Science Direct, Scopus, and Taylor and Francis. The reference lists of key studies will be searched to identify additional appropriate studies to include. The review will be conducted using an inclusion and exclusion criteria. Iterative processes will be involved at the various stages of search strategy piloting, screening and data extraction. Articles will be reviewed through a two-step process (title and abstract, and full-text review) by at least two reviewers. Data will be described quantitatively and/or qualitatively and presented in diagrams and tables. ETHICS AND DISSEMINATION: Ethical clearance has been received, and strict protocol measures will be followed to ensure the data reported is of quality and relevant to the review purpose. The results will be disseminated through a peer-reviewed scientific journal, presentation at national and/or international conferences, and other platforms such as social media (eg, LinkedIn, Twitter), and relevant stakeholders.

COVID-19 vaccine equity and health equity conversations on Twitter.

This study used social network analysis and trending hashtags on Twitter to identify trends related to health and vaccine equity during the Omicron wave. The analysis was conducted using consumer-friendly platforms/tools such as the Healthcare Hashtag Project and NodeXL. The study found that during the Omicron wave, there was a higher volume of tweets related to the more specific hashtag #VaccineEquity, as compared to the more general topic of #HealthEquity. The study also identified the top influencers for these hashtags and how they changed over time. The study proposes a combination of existing tools and approaches, including ontological surveillance and social network analysis, to develop proactive strategies that respond to public opinion in a timely manner. Social network analysis tools could also be useful for healthcare organizations and providers in training their staff involved in social media management to develop better social media communication strategies.

Who Influences Cancer Conversations on Twitter?: A Comparative Surveillance of Cancer Communications.

In this study, we used social network analysis to compare the Twitter social networks of top five cancers in the United States (as ranked by the CDC) to determine the key influencers in cancer-related conversations. We find that organizations and groups geared toward patients that provide patient support, promote cancer awareness, cancer prevention and cancer management comprised up to 40% of influencers. Researchers (24%) and physicians (14%) were also found to be influential participants; the extent of influence varying by each cancer, being as high as 40% research influence for colorectal cancer. Notably, scientific organizations (JAMA, CDC_cancer, AACR) played a key role in conversations about colorectal cancer whereas patient-focused organizations played a greater influencing role in conversations about prostate cancer and skin cancer. This study shows that Twitter data can be a valuable source of cancer surveillance data, and has potential to influence policies, strategies, and research directions around each cancer.

Regional Differences in Serious Psychological Distress and Overall Physical and Mental Health.

To determine regional differences in the prevalence of overall physical health, overall mental health, and serious psychological distress (SPD). Data from the 2004 to 2016 Medical Expenditure Panel Survey were used for weighted analysis across region. Relationship modifiers considered were sociodemographic factors, health factors, and measures of health expenditures. A higher burden ratio of health care expenditures is negatively associated with health outcomes, across all US regions and insurance. Compared to 2004 values, SPD, overall physical health, and mental health are significantly improved after 2014. This research supports the whole health paradigm, indicating that overall mental and physical health are closely related. The burden of health care costs is an important consideration and related to overall health outcomes, regardless of insurance status or region. These considerations are likely increasingly important to consider with recent global events.

Sink or Swim: Virtual Life Challenges among African American Families during COVID-19 Lockdown.

This study explores African American parents' experiences with using technology to engage their children in meaningful activities (e.g., e-learning) during COVID-19 and its impact on family health. Eleven African American families were recruited through a local health department program from a rural Midwestern community to participate in semi-structured interviews. Majority of participants reported stresses from feelings of "sink or swim" in a digital world, without supports from schools to effectively provide for their children's technology needs. The COVID-19 pandemic underscored the importance of family-school collaborative engagement and empowerment. Digital technology needs to become part of our school education system so that technology use among African Americans is elevated and families protected against future outbreaks. Further research with a more diverse African American sample is needed.

Correction: Non-Hispanic White Mothers' Willingness to Share Personal Health Data With Researchers: Survey Results From an Opt-in Panel.

[This corrects the article DOI: 10.2196/14062.].

Non-Hispanic White Mothers' Willingness to Share Personal Health Data With Researchers: Survey Results From an Opt-in Panel.

BACKGROUND: Advances in information communication technology provide researchers with the opportunity to access and collect continuous and granular data from enrolled participants. However, recruiting study participants who are willing to disclose their health data has been challenging for researchers. These challenges can be related to socioeconomic status, the source of data, and privacy concerns about sharing health information, which affect data-sharing behaviors. OBJECTIVE: This study aimed to assess healthy non-Hispanic white mothers' attitudes in five areas: motivation to share data, concern with data use, desire to keep health information anonymous, use of patient portal and willingness to share anonymous data with researchers. METHODS: This cross-sectional study was conducted on 622 healthy non-Hispanic white mothers raising healthy children. From a Web-based survey with 51 questions, we selected 15 questions for further analysis. These questions focused on attitudes and beliefs toward data sharing, internet use, interest in future research, and sociodemographic and health questions about mothers and their children. Data analysis was performed using multivariate logistic regressions to investigate the factors that influence mothers' willingness to share their personal health data, their utilization of a patient portal, and their interests in keeping their health information anonymous. RESULTS: The results of the study showed that the majority of mothers surveyed wanted to keep their data anonymous (440/622, 70.7%) and use patient portals (394/622, 63.3%) and were willing to share their data from Web-based surveys (509/622, 81.8%) and from mobile phones (423/622, 68.0%). However, 36.0% (224/622) and 40.5% (252/622) of mothers were less willing to share their medical record data and their locations with researchers, respectively. We found that the utilization of patient portals, their attitude toward keeping data anonymous, and their willingness to share different data sources were dependent on the mothers' health care provider status, their motivation, and their privacy concerns. Mothers' concerns about the misuse of personal health information had a negative impact on their willingness to share sensitive data (ie, electronic medical record: adjusted odds ratio [aOR] 0.43, 95% CI 0.25-0.73; GPS: aOR 0.4, 95% CI 0.27-0.60). In contrast, mothers' motivation to share their data had a positive impact on disclosing their data via Web-based surveys (aOR 5.94, 95% CI 3.15-11.2), apps and devices designed for health (aOR 5.3, 95% CI 2.32-12.1), and a patient portal (aOR 4.3, 95% CI 2.06-8.99). CONCLUSIONS: The findings of this study suggest that mothers' privacy concerns affect their decisions to share sensitive data. However, mothers' access to the internet and the utilization of patient portals did not have a significant effect on their willingness to disclose their medical record data. Finally, researchers can use our findings to better address their study subjects concerns and gain their subjects trust to disclose data.

Employing a User-Centered Design to Engage Mothers in the Development of a mHealth Breastfeeding Application.

Breastfeeding has numerous health benefits; however, many mothers do not continue breastfeeding to the recommended 6 months of age. Breastfeeding support after discharge from the hospital is often lacking in the communities with the greatest need. Therefore, the Mother's Milk Connection mHealth application was designed to improve breastfeeding duration and access to support. This article describes a user-centered design process to engage mothers in the development of the Mother's Milk Connection application. Two phases of stakeholder and user studies were conducted. Phase 1 involved concept generation, prototype development, and usability testing. Phase 2 focused on prototype redesign and usability testing. We used a descriptive mixed-method approach with data collected using a demographic questionnaire, System Usability Scale, exit survey, and focus groups. Final features of the Mother's Milk Connection application included resources and education, peer support, automated activity tracking, and professional support via video conference. Stakeholder and user engagement indicated the integration of four distinct features is acceptable for use as a comprehensive mHealth intervention to improve access to breastfeeding support. mHealth has the potential to be a useful strategy for providing breastfeeding support, and a clinical trial regarding the efficacy of the Mother's Milk Connection application is needed.

Perspectives of HIV agencies on improving HIV prevention, treatment, and care services in the USA.

HIV healthcare services in the USA are made available through a complex funding and delivery system. We present perspectives of HIV agencies on improvements that could lead to an ideal system of HIV prevention, treatment and care. We conducted semi-structured interviews with representatives from 21 HIV agencies offering diverse services in Baltimore, MD. Thematic analysis revealed six key themes: (1) Focusing on HIV prevention, (2) Establishing common entry-points for services, (3) Improving information availability, (4) Streamlining funding streams, (5) Removing competitiveness and (6) Building trust. We recommend that in addition to addressing operational issues regarding service delivery and patient care, initiatives to improve HIV service systems should address underlying social issues such as building trust.

Information Management in Cancer Registries: Evaluating the Needs for Cancer Data Collection and Cancer Research.

Cancer registry data collection involves, at a minimum, collecting data on demographics, tumor characteristics, and treatment. A common, identified, and standardized set of data elements is needed to share data quickly and efficiently with consumers of this data. This project highlights the fact that, there is a need to develop common data elements; Surveys were developed for central cancer registries (CCRs) and cancer researchers (CRs) at NCI-designated Cancer Centers, in order to understand data needs. Survey questions were developed based on the project focus, an evaluation of the research registries and database responses, and systematic review of the literature. Questions covered the following topics: 1) Research, 2) Data collection, 3) Database/ repository, 4) Use of data, 5) Additional data items, 6) Data requests, 7) New data fields, and 8) Cancer registry data set. A review of the surveys indicates that all cancer registries' data are used for public health surveillance, and 96% of the registries indicate the data are also used for research. Data are available online in interactive tables from over 50% of CRs and 87% of CCRs. Some other survey responses indicate that CCR treatment data are not complete for example treatment data, however cancer researchers are interested in treatment variables from CCRs. Cancer registries have many data available for review, but need to examine what data are needed and used by different entities. Cancer Registries can further enhance usage through collaborations and partnerships to connect common interests in the data by making registries visible and accessible.