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AnteayerInternacionales

Nursing Students' Experiences and Perceived Learning Effectiveness of Patient Safety and Its Influencing Factors: An Integrative Literature Review

ABSTRACT

Aim

To examine and synthesise the current literature to gain insights into nursing students' experiences, their perceived learning effectiveness of patient safety and its influencing factors.

Design

Integrative review.

Data Sources

CINAHL, Medline, Scopus, and Embase databases from January 2011 to October 2023.

Methods

Of the 5940 papers initially retrieved, 33 were included after title, abstract, and full-text screening. No papers were omitted through quality appraisal.

Results

Despite nursing students' generally positive attitude towards patient safety, their idealistic view did not translate into actual actions of upholding patient safety due to various factors. Moreover, their experiences and perceived effectiveness of learning patient safety were influenced by factors such as organisational safety culture and pedagogical contexts. Thematic analysis revealed four themes: ‘perception, attitudes, and evaluation towards patient safety’; ‘supportive organizational culture as impetus to promote patient safety’; ‘perceived confidence, knowledge, and competence toward patient safety’; and ‘educational contexts and pedagogies to promote learning of patient safety’.

Conclusions

There is an inadequate focus on patient safety in clinical education compared to classroom education. Given that the clinical setting serves as an authentic learning environment of patient safety, nursing faculties play a crucial role in reforming existing nursing curricula to integrate patient safety education in both settings to ensure continuity of learning. Clinical nursing leaders should also proactively review and reform organisational culture and practices to enable nursing students' acquisition and internalisation of patient safety learning.

Implications for Nursing Education and Management

This review highlighted the need for further collaboration between nursing faculties and healthcare institutions to advocate an environment conducive to nursing students' effective learning of patient safety.

Reporting Method

Reporting adheres to the Reporting items for systematic review and meta-analyses (PRISMA) 2020 guidelines.

Patient or Public Contribution

No patient or public contribution.

Consensus‐Building Processes for Implementing Perioperative Care Pathways in Common Elective Surgeries: A Systematic Review

ABSTRACT

Aims

To identify and understand the different approaches to local consensus discussions that have been used to implement perioperative pathways for common elective surgeries.

Design

Systematic review.

Data Sources

Five databases (MEDLINE, CINAHL, EMBASE, Web of Science and the Cochrane Library) were searched electronically for literature published between 1 January 2000 and 6 April 2023.

Methods

Two reviewers independently screened studies for inclusion and assessed quality. Data were extracted using a structured extraction tool. A narrative synthesis was undertaken to identify and categorise the core elements of local consensus discussions reported. Data were synthesised into process models for undertaking local consensus discussions.

Results

The initial search returned 1159 articles after duplicates were removed. Following title and abstract screening, 135 articles underwent full-text review. A total of 63 articles met the inclusion criteria. Reporting of local consensus discussions varied substantially across the included studies. Four elements were consistently reported, which together define a structured process for undertaking local consensus discussions.

Conclusions

Local consensus discussions are a common implementation strategy used to reduce unwarranted clinical variation in surgical care. Several models for undertaking local consensus discussions and their implementation are presented.

Implications for the Profession and/or Patient Care

Advancing our understanding of consensus building processes in perioperative pathway development could be significantly improved by refining reporting standards to include criteria for achieving consensus and assessing implementation fidelity, alongside advocating for a systematic approach to employing consensus discussions in hospitals.

Impact

These findings contribute to recognised gaps in the literature, including how decisions are commonly made in the design and implementation of perioperative pathways, furthering our understanding of the meaning of consensus processes that can be used by clinicians undertaking improvement initiatives.

Reporting Method

This review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.

No patient or public contribution.

Trial Registration: CRD42023413817

Urine Metabolites as Indicators of Chronic Pain and Related Symptoms in Active-Duty Service Members: A Secondary Data Analysis of a Pragmatic Clinical Trial With SMART Design

imageBackground Chronic pain is a major cause of distress and disability, and biomarkers may aid in the assessment and treatment of it. Urine metabolites may be valuable bioindicators that can provide biological insight regarding chronic pain. Objectives To investigate the relationship between a multimarker composite measure of metabolites and patient-reported outcomes scores in adults with chronic pain, using data from a pragmatic clinical trial with a sequential, multiple-assignment randomized trial design. Methods Self-reported measures and urine samples from 169 active-duty service members with chronic pain were collected. Urine was analyzed using a preestablished panel of metabolites, including four previously identified biomarkers of pain: kynurenic acid, pyroglutamic acid, ethylmalonic acid, and methylmalonate. Multivariable linear regression models—adjusted for participant characteristics such as age and sex—were used to cross-sectionally examine the relationship between 11 patient-reported outcomes (fatigue, sleep-related impairment, anxiety, depression, anger, pain catastrophizing, physical function, pain interference, satisfaction with participation with social roles, pain intensity, and pain impact score) and the four urine metabolites both individually and as a composite (urine metabolite pain indicator, or UMPI). Given the study’s small sample size and exploratory nature, a significance threshold of p ≤ .10 was used for all analyses. Results The UMPI showed statistically significant associations with five self-reported measures (fatigue, anxiety, depression, physical functioning, and pain impact score); adjusted Pearson correlations ranged from .18 to .25. Individual metabolite analyses supported these findings, with all relationships between individual metabolites and self-reported measures showing positive associations. Kynurenic acid and ethylmalonic acid showed the strongest associations, each having statistically significant relationships with four individual self-reported measures, while pyroglutamic acid had statistically significant relationships with three self-reported measures and methylmalonate with none. The UMPI demonstrated feasible reliability. Discussion Our finding of associations between the UMPI and components of the self-reported measures supports the development of the UMPI and these four urine metabolites as biomarkers for chronic pain outcomes. Further research is planned and will be essential for establishing mechanistic insight and guiding biomarker development within the context of pain management.

Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices

imageBackground Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual. Objectives We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time. Methods We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns. Results Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year. Conclusion We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels.
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