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To explore self-care and needs and preferences towards tailored self-care support of patients with rheumatoid arthritis at the outpatient clinic.
A sequential explanatory mixed method design.
The Self-Care of Chronic Illness Inventory questionnaire, two focus groups and six semi-structured interviews were conducted between November 2021 and April 2023. Questionnaires of 107 patients were descriptively analysed. Subsequently, 11 patients and 2 healthcare professionals participated in the focus groups and 6 patients in the interviews, which were thematically analysed.
Quantitative and qualitative data corresponded and showed that patients perform various self-care activities at an adequate level and have strategies to exert control and reduce symptoms. One key theme emerged: ‘Not only being the person with rheumatoid arthritis’ (RA) as patients primarily aim to get on with their lives. Nine subthemes covered self-care activities for maintaining health including staying physically active, finding the right medication and dose and adapting their diet. Patients differed in how they self-monitored their symptoms. Recognizing symptoms and finding strategies to manage symptoms included the process of body listening in which patient seek and try different strategies to find what works for them and incorporate routines. Patients experienced positive effects of a warm or cold environment. Patients felt the need for practical and emotional support from others and preferred having credible information.
Patients perform adequate self-care including a diversity of self-care activities to get on with their lives and have strategies to reduce and control the symptoms and impact of RA.
Tailoring self-care support to patients' individual needs and preferences is necessary to help patients cope with the erratic nature of the disease and maintain their quality of life. Healthcare providers need to provide practical and emotional support and use credible information to allow patients to make self-care decisions to manage their lives.
Quantitative finding are reported according to the STROBE guidelines and qualitative finding are reported according to the COREQ guidelines.
Patients perform various self-care activities at an adequate level and have strategies to exert control and reduce symptoms. Patients primarily aim to continue their lives and not being seen as the person with rheumatoid arthritis. Healthcare professionals need to provide practical and emotional support and use credible information to inform patients' self-care decision-making.
No patient or public contribution.
Obesity is associated with lower treatment response in patients with rheumatoid arthritis (RA). In patients with obesity, abatacept was suggested as a preferable option to tumour necrosis factor-alpha inhibitors. We aimed to assess the comparative effectiveness of etanercept, infliximab and abatacept, compared with adalimumab, in patients with RA with obesity. Secondarily, we also investigated this in patients with overweight and normal weight for completeness.
Observational cohort study.
Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) registry (1997–2019).
Adult patients with RA from the SCQM registry who received etanercept, infliximab, abatacept or adalimumab as their first biological or targeted synthetic disease-modifying antirheumatic drug were classified based on their body mass index (BMI) at the start of that treatment in three cohorts: obese, overweight, normal weight. They were followed for a maximum of 1 year.
The study exposure of interest was the patients’ first biological, particularly: etanercept, infliximab and abatacept, compared with adalimumab.
The primary study outcome was remission within 12 months, defined as 28-joint Disease Activity Score (DAS28)
The study included 443 obese, 829 overweight and 1243 normal weight patients with RA. There were no statistically significant differences in the odds of DAS28-remission at ≤12 months for etanercept, infliximab and abatacept, compared with adalimumab, in any of the BMI cohorts.
No differences in DAS28-remission were found between the study drugs and adalimumab as first biologic in patients with RA, independently of the BMI cohort. We did not find evidence that treatment with abatacept increased the likelihood of remission compared with adalimumab among obese patients with RA.
The aims of the study were to describe the processes used to introduce advanced practice nursing roles and factors that facilitated or hindered role implementation, examine the time advanced practice nurses (APNs) spend in role activities and how these activities relate to domains of advanced practice nursing and examine how implementation processes influenced APN integration within healthcare teams.
A multiple case study was conducted.
Five cases were included, representing the four population areas approved for advanced practice nursing in France. Data were collected from January to March 2021 using observation, interview and document analysis methods. Data were examined using thematic analysis.
Participants included APNs (n = 5), nurses/allied health providers (n = 5), physicians (n = 5), managers (n = 4) and decision-makers (n = 4). Stakeholder engagement and leadership provided by decision-makers, managers, physicians and APNs facilitated role implementation. Poor stakeholder role understanding, uncertain role funding, and the COVID-19 pandemic hindered role implementation. APNs spent the most time in clinical activities. Participants perceived the integration of APNs within the healthcare team and their impact on patient care to be positive.
Stakeholder engagement and organizational and APN leadership facilitated the implementation of the roles, especially related to team-based patient care. Further efforts are needed to strengthen APN involvement in non-clinical activities and address role barriers.
Systematic and system-wide approaches are needed to improve role clarity, role autonomy and health systems integration of APNs. Research should examine patient perspectives about APNs in France.
The results highlight how policies can create favourable conditions for advanced practice nursing role implementation in France. Internationally, this study serves as a reminder to APNs and nurse leaders about the strategies for and importance of implementation evaluation to support the optimal development of advanced practice nursing roles.
The study reporting followed the Consolidated Criteria for Reporting Qualitative Research.
No Patient or Public Contribution.
by Samuel Kyei, Rexford Kwasi Gyaami, John Baptist Abowine, Ebenezer Zaabaar, Kofi Asiedu, Samuel Bert Boadi-Kusi, Jacob Mensah Mesuh, Frank Assiamah, Anthony Armah, Patience Ansomah Ayerakwah
ObjectiveTo assess the differential association of myopia with major non-communicable ocular diseases in an African clinical cohort.
MethodsA five-year hospital-based retrospective study of myopia cases. Patients’ folders, Optical Coherence Tomography scans, and fundus photographs were reviewed for the abstraction of relevant data. Only records that employed recognized standards and classification systems for diagnosing and staging the various ocular conditions were included. Demographic characteristics, non-cycloplegic objective refractive findings, and non-communicable eye diseases were retrieved from the records. Myopia-associated risk factors were then determined using logistic regression and correlation.
ResultsSome 16018 patients (32027 eyes) met the inclusion criteria for at least one eye comprising 50.8% males (n = 8137) and 49.2% females (n = 7881). The mean age of the patients was 43.14 ± 17.88 years (range: 2–98 years). The mean spherical equivalent± Standard deviation for myopia was -2.30±3.23 DS (range: -0.50 to -25DS). Binary logistic regression analysis showed that myopic eyes had a higher odd of AC (OR, 0.53; 95% CI, 0.50–0.57), POAG (OR, 6.0; 95% CI, 5.26–6.82), DR (OR, 10.70; 95% CI, 3.91–29.27) and cataracts (OR, 20; 95% CI, 15.32–26.20) but not dry eye (OR, 0.74, 95% CI, 0.68–0.81), macular degeneration and pterygium (OR, 0.36; 95% CI, 0.32–0.40).
ConclusionAfricans with myopia are more at risk of developing allergic conjunctivitis, cataracts, POAG, and DR but not for dry eye, macular degeneration, and pterygium.
by Nene Kaah Keneh, Sebastien Kenmoe, Arnol Bowo-Ngandji, Jane-Francis Tatah Kihla Akoachere, Hortense Gonsu Kamga, Roland Ndip Ndip, Jean Thierry Ebogo-Belobo, Cyprien Kengne-Ndé, Donatien Serge Mbaga, Nicholas Tendongfor, Lucy Mande Ndip, Seraphine Nkie Esemu
BackgroundThe emergence of methicillin-resistant Staphylococcus aureus (MRSA) has increased and poses a significant threat to human and animal health in Cameroon and the world at large. MRSA strains have infiltrated various settings, including hospitals, communities, and livestock, contributing to increased morbidity, treatment costs, and mortality. This evidence synthesis aims to understand MRSA prevalence, resistance patterns, and genetic characterization in Cameroon.
MethodsThe methodology was consistent with the PRISMA 2020 guidelines. Studies of any design containing scientific data on MRSA prevalence, genetic diversity, and antimicrobial resistance patterns in Cameroon were eligible for inclusion, with no restrictions on language or publication date. The search involved a comprehensive search strategy in several databases including Medline, Embase, Global Health, Web of Science, African Index Medicus, and African Journal Online. The risk of bias in the included studies was assessed using the Hoy et al tool, and the results were synthesized and presented in narrative synthesis and/or tables and graphs.
ResultsThe systematic review analyzed 24 studies, mostly conducted after 2010, in various settings in Cameroon. The studies, characterized by moderate to low bias, revealed a wide prevalence of MRSA ranging from 1.9% to 46.8%, with considerable variation based on demographic and environmental factors. Animal (0.2%), food (3.2% to 15.4%), and environmental samples (0.0% to 34.6%) also showed a varied prevalence of MRSA. The genetic diversity of MRSA was heterogeneous, with different virulence gene profiles and clonal lineages identified in various populations and sample types. Antimicrobial resistance rates showed great variability in the different regions of Cameroon, with notable antibiotic resistance recorded for the beta-lactam, fluoroquinolone, glycopeptide, lincosamide, and macrolide families.
ConclusionThis study highlights the significant variability in MRSA prevalence, genetic diversity, and antimicrobial resistance patterns in Cameroon, and emphasizes the pressing need for comprehensive antimicrobial stewardship strategies in the country.
by Tjasa Kunavar, Xiaoxiao Cheng, David W. Franklin, Etienne Burdet, Jan Babič
Error based motor learning can be driven by both sensory prediction error and reward prediction error. Learning based on sensory prediction error is termed sensorimotor adaptation, while learning based on reward prediction error is termed reward learning. To investigate the characteristics and differences between sensorimotor adaptation and reward learning, we adapted a visuomotor paradigm where subjects performed arm movements while presented with either the sensory prediction error, signed end-point error, or binary reward. Before each trial, perturbation indicators in the form of visual cues were presented to inform the subjects of the presence and direction of the perturbation. To analyse the interconnection between sensorimotor adaptation and reward learning, we designed a computational model that distinguishes between the two prediction errors. Our results indicate that subjects adapted to novel perturbations irrespective of the type of prediction error they received during learning, and they converged towards the same movement patterns. Sensorimotor adaptations led to a pronounced aftereffect, while adaptation based on reward consequences produced smaller aftereffects suggesting that reward learning does not alter the internal model to the same degree as sensorimotor adaptation. Even though all subjects had learned to counteract two different perturbations separately, only those who relied on explicit learning using reward prediction error could timely adapt to the randomly changing perturbation. The results from the computational model suggest that sensorimotor and reward learning operate through distinct adaptation processes and that only sensorimotor adaptation changes the internal model, whereas reward learning employs explicit strategies that do not result in aftereffects. Additionally, we demonstrate that when humans learn motor tasks, they utilize both learning processes to successfully adapt to the new environments.We aimed to develop and externally validate a generalisable risk prediction model for 30-day stroke mortality suitable for supporting quality improvement analytics in stroke care using large nationwide stroke registers in the UK and Sweden.
Registry-based cohort study.
Stroke registries including the Sentinel Stroke National Audit Programme (SSNAP) in England, Wales and Northern Ireland (2013–2019) and the national Swedish stroke register (Riksstroke 2015–2020).
Data from SSNAP were used for developing and temporally validating the model, and data from Riksstroke were used for external validation. Models were developed with the variables available in both registries using logistic regression (LR), LR with elastic net and interaction terms and eXtreme Gradient Boosting (XGBoost). Performances were evaluated with discrimination, calibration and decision curves.
The primary outcome was all-cause 30-day in-hospital mortality after stroke.
In total, 488 497 patients who had a stroke with 12.4% 30-day in-hospital mortality were used for developing and temporally validating the model in the UK. A total of 128 360 patients who had a stroke with 10.8% 30-day in-hospital mortality and 13.1% all mortality were used for external validation in Sweden. In the SSNAP temporal validation set, the final XGBoost model achieved the highest area under the receiver operating characteristic curve (AUC) (0.852 (95% CI 0.848 to 0.855)) and was well calibrated. The performances on the external validation in Riksstroke were as good and achieved AUC at 0.861 (95% CI 0.858 to 0.865) for in-hospital mortality. For Riksstroke, the models slightly overestimated the risk for in-hospital mortality, while they were better calibrated at the risk for all mortality.
The risk prediction model was accurate and externally validated using high quality registry data. This is potentially suitable to be deployed as part of quality improvement analytics in stroke care to enable the fair comparison of stroke mortality outcomes across hospitals and health systems across countries
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