METHODS: This was a cross-sectional study. A total of 92 preschool children (4-6 years) were invited to participate with their parents/guardians. Nine parameters of toothbrushing behaviour were assessed from parental responses (questionnaire) and observation of child and parents/guardians (video recording). Oral examination included recording plaque, gingival and dental caries indices. BORIS software was used to assess toothbrushing parameters and Smart PLS was used to perform association with a second-generation multivariate analysis to create models with and without confounding factors.
RESULTS: Girls were slightly more (53%) than boys (47%). Children aged 4 years were slightly more in number (38%), followed by 6-year-olds and 5-year-olds. Nearly, 90% parents had tertiary education and 46% had more than 2 children. Differences were recorded in the reported and observed behaviour. Thirty-five percent parents/guardians reported using pea-size toothpaste amount but only 28% were observed. Forty percent reported to brush for 30 s-1 min, however 51% were observed to brush for 1-2 min. Half the children were observed to use fluoridated toothpaste (F
METHOD: This is a behavioral randomized controlled trial of patient education intervention with video narratives for patients with stroke lacking medication understanding and use self-efficacy. The study will recruit up to 200 eligible stroke patients at the neurology tertiary outpatient clinic, whereby they will be requested to return for follow-up approximately 3 months once for up to 12 months. Consenting patients will be randomized to either standard patient education care or intervention with video narratives. The researchers will ensure control of potential confounding factors, as well as unbiased treatment review with prescribed medications only obtained onsite.
RESULTS: The primary analysis outcomes will reflect the variances in medication understanding and use self-efficacy scores, as well as the associated factors, such as retention of knowledge, belief and perception changes, whereas stroke risk factor control, for example, self-monitoring and quality of life, will be the secondary outcomes.
DISCUSSION AND CONCLUSION: The study should be able to determine if video narrative can induce a positive behavioral change towards stroke risk factor control via enhanced medication understanding and use self-efficacy. This intervention is innovative as it combines health belief, motivation, and role model concept to trigger self-efficacy in maintaining healthy behaviors and better disease management.
TRIAL REGISTRATION: ACTRN (12618000174280).
DESIGN: Individual in-depth, semistructured interviews were audio-taped, then verbatim transcribed and translated when necessary. The data were first independently coded and then collectively discussed for emergent themes using the Straussian grounded theory method.
PARTICIPANTS AND SETTING: Fifty-seven current smokers were recruited from a previous smoking related study carried out in a primary care setting in Malaysia. Current smokers with at least one failed quit attempts were included.
RESULTS: A five-theme model emerged from this grounded theory method. (1) Personal and lifestyle factors: participants were unable to resist the temptation to smoke; (2) Nicotine addiction: withdrawal symptoms could not be overcome; (3) Social cultural norms: participants identified accepting cigarettes from friends as a token of friendship to be problematic; (4) Misconception: perception among smokers that ability to quit was solely based on one's ability to achieve mind control, and perception that stopping smoking will harm the body and (5) Failed assisted smoking cessation: smoking cessation services were not felt to be user-friendly and were poorly understood. The themes were organised into five concentric circles based on time frame: those actionable in the short term (themes 1 and 2) and the long term (themes 3, 4, 5).
CONCLUSIONS: Five themes of specific beliefs and practices prevented smokers from quitting. Clinicians need to work on these barriers, which can be guided by the recommended time frames to help patients to succeed in smoking cessation.
METHODS: A cross-sectional randomized intervention study over 12 months' duration was conducted in university hospital simulation lab. ACLS-certified medical doctors were assigned to run 2 standardized simulated resuscitation code as RTL from a head-end position (HEP) and leg-end position (LEP). They were evaluated on leadership qualities including situational attentiveness (SA), errors detection (ED), and decision making (DM) using a standardized validated resuscitation-code-checklist (RCC). Performance was assessed live by 2 independent raters and was simultaneously recorded. RTL self-perceived performance was compared to measured performance.
RESULTS: Thirty-four participants completed the study. Mean marks for SA were 3.74 (SD ± 0.96) at HEP and 3.54 (SD ± 0.92) at LEP, P = .48. Mean marks for ED were 2.43 (SD ± 1.24) at HEP and 2.21 (SD ± 1.14) at LEP, P = .40. Mean marks for DM were 4.53 (SD ± 0.98) at HEP and 4.47 (SD ± 0.73) at LEP, P = .70. The mean total marks were 10.69 (SD ± 1.82) versus 10.22 (SD ± 1.93) at HEP and LEP respectively, P = .29 which shows no significance difference in all parameters. Twenty-four participants (71%) preferred LEP for the following reasons, better visualization (75% of participants); more room for movement (12.5% of participants); and better communication (12.5% of participants). RTL's perceived performance did not correlate with actual performance CONCLUSION:: The physical position either HEP or LEP appears to have no influence on performance of RTL in simulated cardiac resuscitation. RTL should be aware of the advantages and limitations of each position.