Impact of nurse scientist-led digital health interventions on management of chronic conditions

Whitmore, Carly; Bird, Marissa; McGillion, Michael; Carter, Nancy; Chen, Ruth; Pierazzo, Joanna; Carroll, Sandra

doi:10.1016/j.outlook.2020.06.010

Cited by 13 publications

(9 citation statements)

References 44 publications

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Section: Discussionmentioning

confidence: 99%

“…Furthermore, this analysis provides an opportunity for future research studies and practice. Few studies, for example, have focused on how inadequately mature digital technologies in clinical practice impact nurse quality management behaviors and results, and the truth is that the technologies used in real-world healthcare settings are not totally responsive or completely appreciated(Webster, 2020, Whitmore et al, 2020). Equally of interest is whether the human touch, which has been valued in traditional face-to-face interactions, will be undermined by the incorporation of technology, even as the emergence of emerging digital media between caregivers and patients allows for improved quality and efficiency in care delivery.…”

Section: Discussionmentioning

confidence: 99%

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Digital Nursing Quality Management: A Concept Analysis

Han

Bai

Zhang

et al. 2023

Preprint

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Background: The rapid advancements in digital technology and its increasing integration into healthcare create an opportunity to leverage these innovations for enhancing nursing quality management. Objective: This paper aims to report the results of a concept analysis of digital nursing quality management. Methods: Rodgers' Evolutionary Method of concept analysis was used to examine the attributes, antecedents, consequences, and related concepts of digital nursing quality management. Findings: Digital Nursing Quality Management is a strategic management approach that systematically utilizes evolving digital technology to pursue optimal nursing quality, guided by the timeless principle of humanistic care. The defining attributes are human-machine collaborativeness, interactive empowerment, and digital ecosystem. Discussion: Incorporating Digital Nursing Quality Management as a supplement to traditional quality management approaches could contribute to improved patient care and healthcare outcomes. Consequently, Digital Nursing Quality Management should receive increased attention in nursing practice, education, and research. Standardized definitions of digital nursing quality management should guide future research and policy development.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Digital Nursing Quality Management: A Concept Analysis

Han

Bai

Zhang

et al. 2023

Preprint

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“…Nurses have opportunities to contribute to the optimization of DH. While some studies of nurse-led DH interventions have been undertaken, more work must be done 23…”

Section: Digital Healthmentioning

confidence: 99%

Digital health

Grys¹

2022

Nursing

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“…Chronic diseases are long‐lasting and progressive (World Health Organization, 2015). Thus, people with chronic disease diagnoses require access to care outside traditional healthcare settings, and patients are required to take leadership roles to cooperate with healthcare providers in managing their chronic diseases (Whitmore et al, 2020). Accordingly, healthcare systems continue to shift toward empowering patients to self‐manage chronic disease (Huber et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Systematic review of perception of barriers and facilitators to chronic disease self‐management among older adults: Implications for evidence‐based practice

Nguyen

Whitehead

Saunders

et al. 2022

Worldviews Ev Based Nurs

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Background:An aging population has contributed to an increased prevalence in chronic disease. To empower patients, healthcare systems are shifting toward chronic disease self-management. However, no review on how older adults self-manage chronic disease and the barriers and facilitators they experience has been published. Aims:To explore barriers and facilitators perceived by older adults during the process of self-managing chronic disease.Methods: A systematic review of qualitative literature was performed using the Joanna Briggs Institute methodology. The literature search was conducted using Ovid databases (MEDLINE, CINAHL with full text, and PsycINFO) for the period of 1988-2020. All records were screened using predetermined eligibility criteria. The critical appraisal instrument QARI (Qualitative Assessment and Review Instrument) was employed to assess the quality of the included studies. Data from the included papers were extracted using the QARI data extraction tool. Extracted data were then synthesized to produce final sets of themes and sub-themes relating to the review question.Results: A total of 267 abstracts were screened, and 13 studies reporting barriers and facilitators perceived by older adults during the process of managing chronic diseases were included in the review. Physical and cognitive decline, low-health literacy, culture, and relationships with healthcare professionals were described as barriers.Facilitators were described as resources that supported disease self-management and included family, social networks, healthcare professionals, and religious beliefs.Linking evidence to action: This study highlights the importance of understanding the patients' perspectives of the barriers and enablers of self-management of chronic illness for health professionals across settings. Understanding barriers and facilitators to chronic disease self-management will support health professionals to identify strength-based approaches to self-management that meet the needs of individual older adults.

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Impact of nurse scientist-led digital health interventions on management of chronic conditions

Cited by 13 publications

References 44 publications

Digital Nursing Quality Management: A Concept Analysis

Digital Nursing Quality Management: A Concept Analysis

Digital health

Systematic review of perception of barriers and facilitators to chronic disease self‐management among older adults: Implications for evidence‐based practice

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