To employ network analysis to identify the central healthcare service needs of people living with HIV (PLWH) for integrated care.
Cross-sectional survey.
A list of healthcare services was identified through literature reviews, expert workshops and validity evaluations by PLWH. A total of 243 PLWH participated at five hospitals and self-reported their need for healthcare services on a four-point Likert scale. Centrality of healthcare service needs was analysed using network analysis.
The mean score for 20 healthcare service needs was 3.53 out of 4. The highest scoring need, “Precaution for interaction between antiretroviral therapy and other drugs,” received a rating of 3.73 but had a centrality of only 0.31. The most central node in the network of healthcare service needs, “Information and coping with opportunistic infections,” had a strength centrality of 1.63 and showed significant relationships with “non-HIV-related medical services (e.g., health check-ups)” and “Regular dental services.” The correlation stability coefficient, which quantifies the stability of centrality, was 0.44 with an acceptable value.
The most central need was information on opportunistic infections that had connections with many nodes in network analysis. By interpreting the relationships between needs, healthcare providers can design interventions with an integrative perspective.
Network visualization provides dynamic relationships between needs that are unknown from the score scale by presenting them graphically and qualitatively.
Using network analysis to interpret need assessment offers an integrated nursing perspective. Coping with opportunistic infection is central to connecting the chain of healthcare. This study highlights the multifaceted understanding of patients' needs that nurses gain when they conduct network analysis.
We adhered to the STROBE checklist.
No patient or public contribution.
To explore digital health interventions on patient safety for children and their parents.
A scoping review.
The PCC ‘Participants, Concepts, and Contexts’ guided the selection of studies that focused on children under 19 years of age or their parents, patient safety interventions for children, and digital health technology for patient safety interventions. This study was conducted using the Arksey and O'Malley framework's five steps. We reported the review according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews Checklist.
PubMed, CINAHL, Embase, Web of Science, and Cochrane were searched for articles published up to November 2022.
A total of 13 articles were included and categorized according to the following criteria to describe the results: intervention characteristics, type of digital technology, and outcome characteristics. Regarding intervention characteristics, we identified two categories, prevention and risk management. Additionally, we identified four types of digital technology, mobile applications, web-based technologies, computer kiosks and electronic health records. Finally, in studies focussing on child safety, parental safety behaviours were used to assess injury risk or detect changes related to prevention.
Patient safety interventions provided through appropriate digital technologies should be developed to enhance continuum of care for children from hospitalization to home after discharge.
Digital health interventions can bolster the role of healthcare providers in patient safety in and out of hospitals, thus improving children's safety and quality of care.
What problem did the study address? Although the various advantages of digital health technology have been demonstrated, the potential role of digital technology in patient safety interventions for children has not been explored. What were the main finding? Preventive patient safety interventions and risk management for children have been developed. Where and on whom will the research have an impact? Digital health interventions on patient safety can improve children's safety and quality of care by promoting non-face-to-face engagement of children and parents after discharge and expanding healthcare providers' roles.
Registered on the Open Science Framework (https://osf.io/dkvst).
No patient or public contribution.