METHODS: A total of 15 femora were examined with four parameters i.e. maximum length of femur (FeMl), diameter of femoral head (FeHd), transverse diameter of midshaft (FeMd) and condylar breadth (FeCb). Osteometric board and vernier calipers were employed for the conventional method, while CT reconstructed images and Osirix MD software was utilised for the virtual method.
RESULTS: Results exhibited that there were no significant differences in the measurements by conventional and virtual methods. There were also no significant differences in the measurements by the intra or inter-observer error analyses. The intraclass correlation coefficients (ICC) were more than 0.95 by both intra and inter-observer error analyses. Technical error of measurement had displayed values within the acceptable ranges (rTEM <0.08 for intra-observer, <2.25 for inter-observer), and coefficient of reliability (R) indicated small measurement errors (R > 0.95 for intra-observer, R > 0.92 for inter-observer). By parameters, FeMl showed the highest R value (0.99) with the least error in different methods and observers (rTEM = 0.02-0.41%). Bland and Altman plots revealed points scattered close to zero indicating perfect agreement by both virtual and conventional methods. The mean differences for FeMl, FeHd, FeMd and FeCb measurements were 0.01 cm, -0.01 cm, 0.02 cm and 0.01 cm, respectively.
CONCLUSION: This brought to suggest that bone measurement by virtual method was highly accurate and reliable as in the conventional method. It is recommended for implementation in the future anthropological studies especially in countries with limited skeletal collection.
METHODS: This study was conducted in 4 local medical schools. LAUNDERKAP was developed via literature review and had 3 domains: attitude, knowledge, practice. An expert panel assessed the content validity and clarity of wording. LAUNDERKAP was then piloted among 32 medical students. To test construct validity and internal consistency, 362 medical students were approached. Construct validity was assessed using exploratory factor analysis. Internal consistency was evaluated using Cronbach alpha for attitude and practice, while Kuder-Richardson 20 (KR-20) was used for knowledge.
RESULTS: A total of 319 of 362 students responded. Exploratory factor analysis extracted 1 factor each for attitude and knowledge respectively, and 3 factors for practice. Cronbach alpha for attitude was 0.843 while KR-20 for knowledge was 0.457. Cronbach alpha for practice ranged from 0.375 to 0.689. The final LAUNDERKAP contained 32-items (13 attitude, 9 knowledge, 10 practice).
CONCLUSIONS: LAUNDERKAP had adequate psychometric properties and can be used to assess KAP of medical students towards white coat use.
METHODS: This study used a qualitative approach with purposive sampling. Seven in depth interviews and six focus group discussions were conducted with 35 healthcare professionals (policy makers, doctors, pharmacists and nurses) at a teaching hospital in Kuala Lumpur, Malaysia, between February and June 2013. All interviews were audio-recorded, transcribed verbatim and checked. Thematic approach was used to analyse the data.
RESULTS: Two main themes and three sub-themes emerged from this study. The main themes were (1) variation in the use of CPG and (2) barriers to adherence to CPG. The three sub-themes for barriers were issues inherent to the CPG, systems and policy that is not supportive of CPG use, and attitudes and behaviour of stakeholders. The main users of the CPG were the primary care doctors. Pharmacists only partially use the guidelines, while nurses and policy makers were not using the CPG at all. Participants had suggested few strategies to improve usage and adherence to CPG. First, update the CPG regularly and keep its content simple with specific sections for allied health workers. Second, use technology to facilitate CPG accessibility and provide protected time for implementation of CPG recommendations. Third, incorporate local CPG in professional training, link CPG adherence to key performance indicators and provide incentives for its use.
CONCLUSIONS: Barriers to the use of CPG hypertension management span across all stakeholders. The development and implementation of CPG focused mainly on doctors with lack of involvement of other healthcare stakeholders. Guidelines should be made simple, current, reliable, accessible, inclusive of all stakeholders and with good policy support.