Journal of evaluation in clinical practice
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This study aims to determine the effectiveness of the digital storytelling (DS) method in increasing human papilloma virus (HPV) awareness. ⋯ The DS method was effective in raising HPV awareness given to the intervention group. Health professionals and researchers can benefit from DS in providing health education and consultancy services such as HPV awareness.
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The Perceptions of Palliative Care Instrument (PPCI) is a tool used to access perceptions towards palliative care in patients with advanced cancer. However, its psychometric properties have not been widely tested using modern psychometric methods. This study aimed to examine the psychometric properties of the PPCI in patients with advanced cancer using Rasch analysis. ⋯ The PPCI is a valid and reliable instrument for assessing perceptions of palliative care in advanced cancer patients. However, to further improve the quality and applicability of the PPCI, the deletion of items 18 and 21 is recommended, as they did not fit the Rasch model.
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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.
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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.
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This study was conducted to determine the effect of childhood adverse experiences on the risk of postpartum posttraumatic stress disorder (PP-PTSD) and postpartum depression (PPD). ⋯ The presence of ACE in mothers was found to increase the risk of developing PPD, both alone and when combined with traumatic birth experience. Therefore, we believe that screening for a history of ACE during pregnancy, investigating traumatic birth experiences in the postpartum period, closer follow-up of mothers with both ACE and traumatic birth experiences and increasing support systems will be beneficial in the prevention and early diagnosis of PPD.