ORCID Profile
0000-0003-2220-1172
Current Organisations
Universidade Federal do Piauí
,
Deakin University
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Publisher: Hindawi Limited
Date: 17-10-2019
DOI: 10.1111/JONM.12846
Abstract: To evaluate and predict the relationship between the implementation of the primary nursing model and the reduction of missed nursing care. Primary nursing can provide hospital leaders and nursing staff with guidance in implementing safe, patient-centred care, with responsibility and accountability during the nursing process. The implementation can be measured in terms of missed nursing care. A predictive correlational study was used. The study was conducted in four inpatient units at the University Hospital, Northeast, Brazil. Data were collected from 96 nursing professionals, using the MISSCARE instrument at four and seven months after the implementation of the primary nursing model. Missed nursing care was reduced by 78.5%. Job title and staff satisfaction showed significant associations with decreased missed care (p < .05). The predictive effect between efficacy in reducing missed nursing care and reasons and efficiency in the management of nursing care, using the primary nursing model, was verified. Nursing staff and managers should consider adopting a Primary Nursing Model of care to reduce missed nursing care.
Publisher: JMIR Publications Inc.
Date: 29-11-2022
DOI: 10.2196/33952
Abstract: In 2022, an estimated 1.105 billion people used smart wearables and 31 million used Fitbit devices worldwide. Although there is growing evidence for the use of smart wearables to benefit physical health, more research is required on the feasibility of using these devices for mental health and well-being. In studies focusing on emotion recognition, emotions are often inferred and dependent on external cues, which may not be representative of true emotional states. The aim of this study was to evaluate the feasibility and acceptability of using consumer-grade activity trackers for apps in the remote mental health monitoring of older aged people. Older adults were recruited using criterion s ling. Participants were provided an activity tracker (Fitbit Alta HR) and completed weekly online questionnaires, including the Geriatric Depression Scale, for 4 weeks. Before and after the study period, semistructured qualitative interviews were conducted to provide insight into the acceptance and feasibility of performing the protocol over a 4-week period. Interview transcripts were analyzed using a hybrid inductive-deductive thematic analysis. In total, 12 participants enrolled in the study, and 9 returned for interviews after the study period. Participants had positive attitudes toward being remotely monitored, with 78% (7/9) of participants experiencing no inconvenience throughout the study period. Moreover, 67% (6/9) were interested in trialing our prototype when it is implemented. Participants stated they would feel more comfortable if mental well-being was being monitored by carers remotely. Fitbit-like devices were an unobtrusive and convenient tool to collect physiological user data. Future research should integrate physiological user inputs to differentiate and predict depressive tendencies in users.
Publisher: MDPI AG
Date: 16-02-2022
DOI: 10.3390/BIOMEDICINES10020458
Abstract: Optimal delivery of medication via dry powder inhalers, the most commonly prescribed inhaler type, is dependent on a patient achieving a minimum level of inspiratory flow during inhalation. However, measurement of peak inspiratory flow (PIF) against the simulated resistance of a dry powder inhaler is not frequently performed in clinical practice due to time or equipment limitations. Therefore, defining which patient characteristics are associated with lower PIF is critically important to help clinicians optimize their inhaler choice through a more personalized approach to prescribing. The objective of this scoping review was to systematically evaluate patient and disease characteristics determining PIF in patients with chronic obstructive pulmonary disease (COPD). Medline, Cochrane and Embase databases were systematically searched for relevant studies on PIF in patients with COPD published in English between January 2000 and May 2021. The quality of evidence was assessed using a modified Grading of Recommendations Assessment, Development and Evaluation checklist. Of 3382 citations retrieved, 35 publications were included in the review (nine scored as high quality, 13 as moderate, nine as low, and four as very low). Factors correlating with PIF in % of papers included both patient characteristics (lower PIF correlated with increased age, female gender, shorter height, decreased handgrip and inspiratory muscle strength, and certain comorbidities) and disease characteristics (lower PIF correlated with markers of lung hyperinflation, lower peak expiratory flow [PEF] and increased disease severity). Other factors correlating with adequate/optimal or improved PIF included education/counseling and exercise/inspiratory muscle training impaired physical function and errors in inhalation technique/non-adherence were associated with low/suboptimal PIF. In conclusion, clinicians should measure PIF against the simulated resistance of a particular device wherever possible. However, as this often cannot be done due to lack of resources or time, the patient and disease characteristics that influence PIF, as identified in this review, can help clinicians to choose the most appropriate inhaler type for their patients.
Start Date: 2022
End Date: 2023
Funder: University of Technology Sydney
View Funded ActivityStart Date: 2020
End Date: 2023
Funder: National Health and Medical Research Council
View Funded Activity