METHODS: The newly developed CKDPS instrument was tested on 300 patients with diabetes mellitus in a cross-sectional study. The number of domains, model-fit index, construct validity, and internal consistency of this instrument were determined using exploratory (EFA) and confirmatory factor analysis (CFA).
RESULTS: The EFA yielded nine domains: illness identity, timeline motivation, medical practice and co-operation for Social Psychology, and perceived benefit, perceived barriers, perceived susceptibility, perceived severity, and perceived cue to action for HBM. Four items with low factor loading were removed. CFA yielded the following fit indices for Social Psychology: the goodness of fit index (GFI) = 0.889, comparative fit index (CFI) = 0.934, root mean square error of approximation (RMSEA) = 0.053, normed chi-square (NC) = 1.831; and the following for HBM: GFI = 0.834, CFI = 0.957, RMSEA = 0.053, NC = 1.830. Values of Cronbach's α ranged between 0.760 and 0.909.
CONCLUSIONS: The CKDPS includes 61 questions across nine domains, divided under two categories of Social Psychology and HBM. It is also a valid and reliable tool for measuring diabetic patients' perception of CKD prevention that can be used in larger studies.
DESIGN: Randomised control trial.
SETTING: Medical outpatient and medical/surgical in-patient unit in single tertiary center.
PARTICIPANT: Patients aged ≥ 60 years who experience constipation and have multiple chronic medical conditions.
METHODS: Participants with constipation were blindly randomized into either a treatment (MCP® BCMC® strains) or a placebo group. The treatment was administered twice daily.
MEASUREMENT: Gastrointestinal symptoms and stool habits were assessed over a week during the intervention via the use of a questionnaire and stool diary.
RESULTS: Stool frequency was seen to be higher and the improvement in stool consistency was more significant in the treatment group than in the placebo group (p =<0.001). A significant improvement in symptoms was demonstrated in patients who received MCP® BCMC® strains,specifically with respect to straining (p = < 0.001) and a sensation of incomplete evacuation (p = < 0.001). reduction in anorectal blockage symptoms and the need for manual stool evacuation was also demonstrated, but this finding was not statistically significant. Significant adverse events were not observed.
CONCLUSIONS: An improvement in stool frequency and consistency was reported in elderly patients with chronic medical conditions following the administration of MCP® BCMC® strains.
MATERIALS AND METHODS: This retrospective review concerned data for patients diagnosed with colorectal cancer in the years 1995 to 2011 collected from the Wilayah Persekutuan Health Office, taken from the cancer notification form (NCR-2), and patient medical records from the Surgical Department, Universiti Kebangsaan Malaysia Medical Centre (UKMMC). A total of 146 cases were analyzed. All the data collected were analysed using ArcGIS version 10.0 and SPSS version 19.0.
RESULTS: Patients aged 60 to 69 years accounted for the highest proportion of cases (34.2%) and males slightly predominated 76 (52.1%), Chinese had the highest number of registered cases at 108 (74.0%) and staging revealed most cases in the 3rd and 4th stages. Kernel density analysis showed more cases are concentrated up in the northern area of Petaling and Kuala Lumpur subdistricts. Spatial global pattern analysis by average nearest neighbour resulted in nearest neighbour ratio of 0.75, with Z-score of -5.59, p value of <0.01 and the z-score of -5.59. Spatial autocorrelation (Moran's I) showed clustering significant with p<0.01, Z score 3.14 and Moran's Index of 0.007. When mapping clusters with hotspot analysis (Getis-Ord Gi), hot and cold spots were identified. Hot spot areas fell on the northeast side of KL.
CONCLUSIONS: This study demonstrated significant spatial patterns of cancer incidence in KL. Knowledge about these spatial patterns can provide useful information to policymakers in the planning of screening of CRC in the targeted population and improvement of healthcare facilities to provide better treatment for CRC patients.