MATERIAL AND METHODS: The researchers employed a cross-sectional research design vis-à-vis a web-based survey method to collect data. Data were collected from a nationally representative sample of 1931 internet users across Pakistan. Participation in the study was voluntary. Data collection continued for four months, from Mar 1, 2024, to Jun 30, 2024.
RESULTS: The "results" of structural equation modeling show that misinformation and disinformation substantially structure risk perception regarding hepatitis, which, in turn, impacts problem recognition, involvement recognition, and constraint recognition. Besides, the outcomes uncovered that the chain of problem identification impacts situational motivation, which drives risk communication behaviors. Also, these risk communication behaviors are closely linked to individuals' motivation to receive the hepatitis vaccine.
CONCLUSION: This research concludes that managing misinformation and disinformation via strategically designed, valid, and reliable digital interventions improves the public's active response regarding willingness to get vaccinated against hepatitis. This study contributes to increasing public acceptance of the hepatitis vaccine by utilizing reliable and valid digital interventions to achieve a more active public health response.
OBJECTIVE: This scoping review aims to map digital interventions used in postsurgical orthopedic rehabilitation to a proposed Coordination, Alignment, Motivation, and Strength (CAMS) framework and to identify research trends, functional coverage, and gaps in current evidence.
METHODS: A systematic search was conducted across 5 databases: MEDLINE (via PubMed), Scopus, IEEE Xplore, Cochrane Central Register of Controlled Trials (CENTRAL), and the Physiotherapy Evidence Database (PEDro), following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Studies were mapped to the proposed CAMS framework pillars. Multiple validated appraisal tools were applied descriptively according to study design: version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2; n=32), the Newcastle-Ottawa Scale (NOS) for observational studies (n=2), and the Methodological Index for Non-Randomized Studies (MINORS) for nonrandomized designs (n=1).
RESULTS: A total of 35 studies met the inclusion criteria. Coordination was the most frequently addressed pillar (29/35, 83%), followed by Motivation (26/35, 74%). Alignment was addressed in 37% (13/35) of studies, while Strength was the least represented pillar (12/35, 34%). Overall, 49% (17/35) of studies were rated "low risk" overall on the primary appraisal tool, 46% (16/35) demonstrated "some concerns," and 6% (2/35) were rated "high risk," with performance bias identified as a consistent methodological characteristic across the corpus. Delivery models were predominantly hybrid (14/35, 40%) or home-based (13/35, 37%), with 8 studies (8/35, 23%) using an exclusively clinical model.
CONCLUSIONS: Digital health has shown a notable increase in the kinematic monitoring feature, offering effective solutions to movement quality (Coordination and Alignment) and psychological engagement (Motivation). Nevertheless, there is a consistent gap in strength-related studies, as current decentralized tools lack the capability to quantify physiological load. The next phase of innovations should be a shift to integrated 4-pillar solutions that would coordinate resistance-based training with high-precision biomechanical monitoring. The CAMS framework is proposed as an exploratory classification tool to guide future research design and technology evaluation in postsurgical digital rehabilitation.
METHODS: This descriptive quantitative study utilized a cross-sectional design, with 236 respondents recruited through consecutive sampling. Data were collected using the Stroke Recognition Questionnaire (SRQ) and analyzed through univariate statistical methods, including frequency, percentage, mean, and standard deviation.
RESULTS: Among the 236 respondents, 53.4% demonstrated a moderate level of knowledge, 31.4% had low knowledge, and the remaining respondents showed a high level of knowledge. The average knowledge score was 64.61 (SD = 13.57; range = 26-97). Participants aged 20-44 years had the highest proportion of high knowledge levels (11.4%), whereas older adults aged over 60 years were more commonly classified in the low-knowledge category (36.1%).
CONCLUSION: The greater proportion of low knowledge among older adults highlights a priority population for targeted education. Integrating structured stroke recognition education into routine hypertension care may strengthen preparedness for early symptom recognition and facilitate timely access to emergency stroke services.
METHODS: Blood and saliva samples were collected from 27 patients diagnosed with acute leukemia in Riyadh City, KSA. DNA was extracted, and 15 STR loci were amplified.
RESULTS: Approximately 59.3% of patients with leukemia exhibited mutations at the STR loci. Loss of heterozygosity (LOH) occurred in 40.7% of the patients at D19S433, D16S539, vWA, D13S317, TH01, FGA, and D2S1338. Microsatellite instability (MSI) was detected in 22.2% of patients at TPOX, vWA, D19S433, D16S539, and D18S51. D19S433 and D16S539 were the most affected loci, exhibiting an alteration percentage of 18.52%, followed by vWA (11.11%); in contrast, D2S1338, D18S51, and TPOX were the least affected loci, showing a mutation percentage of 3.7%. D13S317, TH01, and FGA showed moderate genetic mutation (7.41%). CSF1PO, D21S11, D3S1358, D5S818, D7S820, D8S1179, and amelogenin did not show genetic changes in all samples. The overall genetic variability between saliva and blood samples significantly differed (P