Vaccines (a medical product) and vaccination recommendations (expert advice on who should receive, when, and how often) have grown in importance and prominence in the past 15 years, including because of a recent COVID-19 pandemic. This essay highlights contributions from vaccine and vaccination-related health communication research since 2010. This research has had significant impacts - that is, visible and discernible positive effects - on the ways health communication is undertaken broadly (e.g. at the campaign level) and at the health care provider-patient level (e.g. conversations with parents and patients regarding vaccine benefits, risks, and safety). As this essay illustrates, health communication research has resulted in greater use of formative research to guide vaccination campaign and education efforts, better identification and understanding of the factors behind vaccination delay and declination, and greater recognition that communication efforts can fail to achieve desired outcomes or generate unintended consequences. Health communication research has also documented the powerful influence of healthcare provider communication on parent and patient understanding and compliance with immunization recommendations. Importantly, this research has also shown the characteristics of provider-patient communication matter much. Healthcare providers must have or establish a high degree of trust, be well-versed in vaccine efficacy and safety, and be adept at using their personal experiences, information tailoring/personalization, and evidence-based communication strategies to increase the likelihood of success.
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http://dx.doi.org/10.1080/10410236.2024.2361584 | DOI Listing |
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
Methods: Between March and July 2022, we conducted a descriptive qualitative study with semistructured interviews of 23 cancer survivors and 14 stakeholders. Qualitative content analysis on the basis of the SEM was used to analyze the data with NVivo 12.
J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFObjective: To clarify the screening behavior and influencing factors of females with breast cancer and cervical cancer in suburban areas and to provide a scientific basis for the subsequent implementation of targeted health education, intervention measures and the formulation of relevant policies.
Methods: This study used a multi-stage stratified random sampling method to select 4, 000 women in urban and rural areas of Beijing to analyze their behavior, basic situation, and influencing factors regarding cervical and breast cancer screening.
Results: The sample size of the final included valid analysis was 3861 people, and the screening rate was 27.
PLoS One
January 2025
Department for Educational Development, Aga Khan University, Karachi, Pakistan.
Background & Objectives: The context, mechanism, and outcome (CMO) framework is meant to identify specific contextual factors (C) related to organizational and program structure that trigger certain mechanisms (M) involving the unique characteristics of a program, leading to specific outcomes (O). The purpose of this study was to explore the contextual underpinnings, operational processes, and resultant effects of the faculty mentorship program at AKU-SONAM. This exploration involved the context in terms of organizational culture, mechanisms examining processes such as communication between mentors and mentees, quality of relationships, the challenges encountered, and the program's adaptability to cope up while, outcomes encompassed improvements in interpersonal relationships, career advancement, and skill development.
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