Journal of evaluation in clinical practice
-
Patients with rheumatoid arthritis (RA) experience a range of symptoms including joint pain and inflammation, stiffness, fatigue, anxiety, and low mood. Similar to patients with other long-term conditions, they may have periods of time when their disease is under control, and times when their condition is less stable, requiring treatment adjustments. The REMORA2 feasibility study explored the implementation of an integrated symptom-tracking system using a smartphone application (app), enabling patients to track day-to-day symptoms. The data was available in the electronic health record to be viewed at subsequent consultations. ⋯ Improved insights on the care of RA were generated as patients and clinicians discuss symptom tracking data. This can assist the patient-clinician dyad in the process of two-way learning and shared decision-making on the management of a long-term condition.
-
One of the factors affecting mothers' breastfeeding success is the father's support and the other is the mother's breastfeeding motivation. This study was conducted to determine the effect of partner breastfeeding support perceived by mothers and reported by fathers on mothers' breastfeeding motivation. ⋯ It was found that father support affected the autonomous motivation of both primiparous and multiparous mothers at a moderate level. Perceived partner breastfeeding support affected only the autonomous motivation of multiparous mothers at a moderate level, and the types of controlled motivation, namely infant health and social approval, at a weak level.
-
Domestic violence against women is a pervasive issue globally, representing a severe violation of human rights and a significant public health concern. The hidden nature of such violence and its frequent underreporting make it a critical area for research. Recent advancements in artificial intelligence offer new avenues for identifying and predicting instances of domestic violence through machine learning (ML) algorithms. ⋯ The findings of our study demonstrate that ML algorithms have high accuracy rates in determining the frequency and risk factors of domestic violence against women, indicating that they can be used safely.
-
This study was planned to determine the effect of superstitions during pregnancy on quality of life and pregnancy adjustment. ⋯ Midwives and other health personnel should be informed and made aware of superstitions and practices that affect maternal and child health and women should be educated about harmful superstitious practices in the prenatal period.
-
The previous studies demonstrated that the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system, a leading method for evaluating the certainty (quality) of scientific evidence (CoE), cannot reliably differentiate between various levels of CoE when the objective is to accurately assess the magnitude of the treatment effect. An estimated effect size is a function of multiple factors, including the true underlying treatment effect, biases, and other nonlinear factors that affect the estimate in different directions. We postulate that non-weighted, simple linear tallying can provide more accurate estimates of the probability of a true estimate of treatment effects as a function of CoE. ⋯ This study confirmed linear relationship between CoE and the probability of potentially 'true' estimates. We found that the probability of potentially "true" estimates decreases by about 20% for each drop in CoE (from about 80% for high to 55% for moderate to 35% to low and 15% to very low CoE).