METHODS: 151 adolescent vaccine providers and 118 mothers of adolescent girls aged 9-14 were recruited from five geographically-diverse countries: Argentina, Malaysia, South Africa, South Korea, and Spain. We assessed providers' preferences for single-purpose human papillomavirus (HPV) vaccine versus MPVs (including HPV+herpes simplex virus (HSV)-2, HPV+HIV, or HPV+HSV-2+HIV) via quantitative surveys. Maternal MPV attitudes were assessed in four focus group discussions (FGDs) in each country.
RESULTS: Most providers preferred MPVs over single-purpose HPV vaccination, with preference ranging from 61% in Malaysia to 96% in South Africa. HPV+HSV-2+HIV was the most preferred MPV formulation (56-82%). Overall, 53% of the mothers preferred MPVs over single-purpose HPV vaccines, with strongest support in South Africa (90%) and lowest support in South Korea (29%). Convenience and trust in the health care system were commonly-cited reasons for MPV acceptability. Safety and efficacy concerns were common barriers to accepting MPVs, though specific concerns differed by country. Across FGDs, additional safety and efficacy information on MPVs were requested, particularly from trusted sources like HCPs.
CONCLUSIONS: Though maternal acceptability of MPVs varied by country, MPV acceptability would be enhanced by having HCPs provide parents with additional MPV vaccine safety and efficacy information. While most providers preferred MPVs, future health behavior research should identify acceptability barriers, and targeted provider interventions should equip providers to improve vaccination discussions with parents.
METHODS: Parents whose children aged below 12 years and were scheduled for elective surgery in a teaching hospital, were approached to participate in this survey. The reliability of the modified version of revised American Pain Society Patient Outcome Questionnaire was evaluated using Cronbach's alpha test, while the construct validity was assessed with a principal component analysis using a varimax rotation. The parental satisfaction with pain treatment received was measured.
RESULTS: A total of 108 parents completed the questionnaire. The internal consistency of the questionnaire shows a Cronbach's alpha of 0.798. Principal component analysis revealed a four-factor structure of the 12 items which explained 69.7% of the total variance. The factors are "Interference of sleep and activity," "Pain severity and drowsiness," "Perception of care," and "Adverse effects," respectively. Our study showed that this questionnaire is a valid and reliable measure for "Interference of sleep and activity" and "Pain severity and drowsiness" factors, but not for "Perception of care" and "Adverse effects." The results for "Perception of care" and "Adverse effects," therefore, should be reported as individual items instead of total score. The parental satisfaction with pain treatment given was good (median 8.0; IQR 3.0).
CONCLUSION: The modified version of revised American Pain Society Patient Outcome Questionnaire is a feasible and easy instrument to administer. The questionnaire can be used to obtain feedback from parents about the outcomes and experiences of pain management and is helpful in continuous quality evaluation and improvement in the postoperative care in a pediatric setting.
METHODS: This cross-sectional nationwide study conducted in 2018 recruited convenience sample of 289 parents with children up to age 12 at public areas. Parents were asked to rate the risk level from 1 (no risk) to 5 (extremely high risk) by looking at photographs of an adult smoking in the presence of a child in 8 different situations. The implementation of smoking restriction rules was assessed. Mean scores were calculated with higher scores representing higher risk perception of SHS to child's health. Linear regression analysis was used to determine factors associated with the level of parental risk perception of SHS exposure to their children's health.
RESULTS: A total of 246 parents responded. Their mean age was 35 years (SD 6.4). The majority were mothers (75.6%), Malays (72.0%) and had tertiary education level (82.5%), and non-smoker (87.1%). The mean age of respondents' youngest child was 3 years (SD 3.1). The risk perception level was high [mean scores: 4.11 (SD: 0.82)]. Most parents implemented household (65.0%) and car (68.3%) smoking restriction rules. Lower levels of risk perception were observed among participants who were current smokers (p
Methods: This cohort study was designed to screen the hearing of newborns using transiently evoked otoacoustic emission and auditory brain stem response, and to determine the risk factors associated with hearing loss of newborns in 3 tertiary hospitals in Northern Thailand. Data were prospectively collected from November 1, 2010 to May 31, 2012. To develop the risk score, clinical-risk indicators were measured by Poisson risk regression. The regression coefficients were transformed into item scores dividing each regression-coefficient with the smallest coefficient in the model, rounding the number to its nearest integer, and adding up to a total score.
Results: Five clinical risk factors (Craniofacial anomaly, Ototoxicity, Birth weight, family history [Relative] of congenital sensorineural hearing loss, and Apgar score) were included in our COBRA score. The screening tool detected, by area under the receiver operating characteristic curve, more than 80% of existing hearing loss. The positive-likelihood ratio of hearing loss in patients with scores of 4, 6, and 8 were 25.21 (95% confidence interval [CI], 14.69-43.26), 58.52 (95% CI, 36.26-94.44), and 51.56 (95% CI, 33.74-78.82), respectively. This result was similar to the standard tool (The Joint Committee on Infant Hearing) of 26.72 (95% CI, 20.59-34.66).
Conclusion: A simple screening tool of five predictors provides good prediction indices for newborn hearing loss, which may motivate parents to bring children for further appropriate testing and investigations.
METHODS: A total of 11 parents and 8 teachers of the 6-year old CI children participated and rated the children using the School Readiness Scale to Year One. Data from 207 6-year old NH children from five states in Malaysia were also collected using the same scale which has nine domains. Results from the NH children were categorized into the 25th and 75th percentile scores to be the reference cut-offs for below average (below the 25th percentile), average (25th to 75th percentile) and above average (above 75th percentile).
RESULTS: The school readiness skills of the CI children were lower than the NH group as rated by teachers especially in the civic and language and communication domains. Comparisons between parents' and teachers' ratings for 8 CI children indicated that teachers tended to rate the CI children's school readiness poorer than that of parents especially in the academic domain. Intra-class correlation analysis revealed poor inter-rater agreement.
CONCLUSIONS: The results suggest that our CI children, generally, need an intervention 'bridging' program to improve their school readiness skills. Parents and teachers had different views on the readiness of the CI children at school entry level.
OBJECTIVES: To determine the prevalence and predictors of poor sleep quality among secondary school students in Gombak District, Selangor.
METHODS: A cross-sectional study was conducted in Gombak District. The sample size was 1,092 based on two group comparison formula. Students were selected using sampling with probability to proportionate to size. Selfadministered pretested questionnaires were used to collect the data. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 22. Chi-square or Fisher's exact test was performed to determine the association between individual categorical variables and sleep quality. Variables with p-value <0.25 were selected to be subjected into multivariate logistic regression to determine the predictors.
RESULTS: The response rate was 93.0%. The prevalence of poor sleep quality was 24.0% (95% CI = 21.5, 26.6). Based on the analysis of simple logistic regression seven variables that were significantly associated with poor sleep quality were age, gender, marital status of parents, depression, anxiety, stress and academic performance found fit in the model. Multivariate logistic analysis showed that the significant predictors of poor sleep quality were age, marital status of parents, depression, anxiety, stress and academic performance. Factors that were not statistically significant were gender, religion, ethnicity, parent's educational level and family income.
CONCLUSIONS: Prevalence of poor sleep quality among adolescents is high. The predictors of poor sleep quality are age, marital status of parents, depression, anxiety, stress and academic performance.
OBJECTIVES: We examined trajectories across adolescence and early adulthood for 2 major dietary patterns and their associations with childhood and parental factors.
METHODS: Using data from the Western Australian Pregnancy Cohort (Raine Study), intakes of 38 food groups were estimated at ages 14, 17, 20 and 22 y in 1414 participants using evaluated FFQs. Using factor analysis, 2 major dietary patterns (healthy and Western) were consistently identified across follow-ups. Sex-specific group-based modeling assessed the variation in individual dietary pattern z scores to identify group trajectories for each pattern between ages 14 and 22 y and to assess their associations with childhood and parental factors.
RESULTS: Two major trajectory groups were identified for each pattern. Between ages 14 and 22 y, a majority of the cohort (70% males, 73% females) formed a trajectory group with consistently low z scores for the healthy dietary pattern. The remainder had trajectories showing either declining (27% females) or reasonably consistent healthy dietary pattern z scores (30% males). For the Western dietary pattern, the majority formed trajectories with reasonably consistent average scores (79% males, 81% females) or low scores that declined over time. However, 21% of males had a trajectory of steady, marked increases in Western dietary pattern scores over time. A lower maternal education and higher BMI (in kg/m2) were positively associated with consistently lower scores of the healthy dietary pattern. Lower family income, family functioning score, maternal age, and being in a single-parent family were positively related to higher scores of the Western dietary pattern.
CONCLUSIONS: Poor dietary patterns established in adolescence are likely to track into early adulthood, particularly in males. This study highlights the transition between adolescence and early adulthood as a critical period and the populations that could benefit from dietary interventions.